>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Howdy, y'all Welcome back to the cubes. Coverage of Day one of pure accelerate 19 from Austin, Texas. I'm Lisa Martin. My co host is Day Volonte. We got a couple of gentlemen here chatting with us. Next, we've got one of our alumni. Mike Bundy's back head of Cisco Worldwide alliances for appear. Mike. Welcome back. >> Thank you. >> Sporting the very dapper >> It's not ours today, but it's enough. >> I like it. Very subtle on we've got Andrew Tenant joining us for the first time Senior manager Worldwide sales at Cisco Andrew, Welcome to the Cube. >> Thanks for having us. >> So we know we've had lots of conversations with Cisco and Cure Isis. Go live. Just a few months ago, Mike was on with this bright orange blazer. You guys have been partners for about four years now, Mike, let's start with you and talk about the evolution of that partnership from Bogota Market. A field A sales perspective, right? Overall partnership. How are things going? >> Well, things were great from a mo mentum perspective. We're we're on track to eclipse You know, I'm not supposed talk about a lot of numbers, but in the next year we will eclipse together a billion dollar run rate >> with partnership, which is tremendous milestone >> in a 4 to 5 year regulations. So things were, well, you know, it started from the field and what customers were requiring. And now, in the last, um, year, we've we've added about six new CDs were up to 22 we have three in the queue between now and the calendar year. So in terms of the growth, the product development and momentum, it's it's tremendous. And what we'll talk about today will be kind of one of the next generations and errors that that will hit on regarding this. >> And you guys were also we had a conversation a little bit ago with with Nathan Hall. Really, this partnership with Cisco and Pure is now getting started in the field, as you were talking about, but it's all the way down into the engineering level in terms of being very pervasive throughout. You guys have really achieve that. Yes, >> Yeah, top to bottom, right From From that field, engagement began. It was watching our customers embrace purest innovation. Right? And everywhere you turned pure was showing up, and it was it was really the field. Say, Hey, we got to get on board with this. And Tim Shanahan, who's part of our correctional organization on the descent aside, said, Hey, this is a big deal. We need to get in front of this thing. So that's really you. Mention where it started. And now we're doing everything from integrating products, right, integrating management tools to try to bring that together for our customers. And it's It's an awesome partnership. >> Absolutely. So where's the product focus. Where do we start? >> Yes, so you joked, right? Fibre channel. I think I remember Fibre Channel from many years ago. It Cisco, and then you look back and suddenly it's not dead, right? The truth is, five channels the best protocol for mission critical storage traffic that's ever been built. It's probably best critical out there for that. It's not sexy, though, right, so we can't took our eye off the ball at Cisco. But as we now develop these next generation storage technologies, there's never been a more important time to bring that switching fabric into play right It's absolutely critical that we have the right tools to accomplish what our customers trying to deliver from applications standpoint. So the agility, the visibility, just the overall performance is more important today. That was back in sort of that the heyday of fibre channel, if you will. Right? So the partnership that we're working on right now is making sure that we're we're maximizing the outcome of these investments. Custer's making with all of yours storage offerings, leveraging a sand infrastructure that's compatible with it and really gonna make it sing. >> And you're right and you go back 10 plus years and it was a vice scuzzy was coming in, but had some f f C bigots is that I will never hang on to win the NFC. Oh, we now you got N v m e over fabric. We'll talk about that. But so from pure perspective, you have always had to pay attention to that segment of the market. Guys went hard after the high end. Of'em sees business, which was heavy fiber channel, absolutely early days. >> Yeah, I mean four out of five of our razor attached fibre channel to a customer's environment. It is core to what we do. And we're excited about the resell opportunity that we just started with pure because, you know, Andrew and I joke last week, but we put pen to paper in terms of we believe our our introduction of this is a re silk and help them grow their sand business by 35 40%. And that's the kind of disruption that we're seeing with our A raise in the market. And we think because of how we're evolving customers to modernize those networks, that we can drag the Sisko Fibre Channel business right along with it. >> This is a sorry Mike. This is a re sell pure reselling wth the MDS product line. How is you the pure Channel? Responding to this news? >> They love it because it's it's a new buying center, you know that they're getting to talk to Ah, and it helps us, you know, establish Maur, you know, understanding the customers, whole business, not just from a storage perspective. So >> So how was envy? Emmy changing landscape? What do you guys seeing there? I mean, you guys, I think the first another first Charlie didn't mention it today on stage, So money first. It's hard to keep track of. But how is that affecting? You know what's going on in the field? >> Yeah. So I mean, again, it's the timing of this generational shift to next. Gen. Sarge, envy me being probably the most critical of that. If we look at what happened with all flash A raise, for example, all of those ended up on critical mission critical workloads and all ended up on fibre Channel 80. 85% of those end up on that legacy technology because it was so capable of getting the job done. Envy me is gonna take us another leap forward so customers will be challenged toe have something that lives both in the what they have today and bridges them to that future proof state. Right? So it's absolutely critical that you have tools that are gonna let you adopt envy me as it makes sense on carry it operationally alongside the same modality that you had for those workloads in the past, right? That's the key. Is that the folks we're gonna own this stuff going forward to the ones who own it now, right? Just with maybe older technology >> and the business impact is what you could do more with less performance, lower costs, more >> last performance, visibility right so you can help. Troubleshoot way had a situation not that long ago where a customer had Honore, not it was a competitive ray, right? It was getting hammered and it was locking up. And when they looked at the the forensics coming off, the rate said they had 4000 I ops off of that array. A very nominal amount. It should have been the problem. It shifted the focus elsewhere. Well, using some of the telemetry built into the MPs platform, it was obvious that there were 25,000 I ops hitting that array because VM, where was doing a lot of command control traffic to the array. So having that visibility at the's scales and speeds, if you don't know what you're doing, you can't see what's going on. You could be flying blind and struggling and everybody loses there. So >> you know we're excited about this because we don't want to bring our rays into an environment that's not suited for high end performance and reliability, cause that's what we've kind of made our brand on when it comes to customer networks, especially with the X 60 and nineties that we launched the year ago. They're all envy me ready. So we want to make sure that, as we did, ploy that that the entire infrastructure's ready and Cisco, in my opinion, has the best. Every product is 64 gig capable. It's envy me today. And so we're ready, you know, envy me, you know, in the end, if you will. So when when the host are ready to take advantage of this full network and full storage system, we're ready. Um, an Andrew also mentioned analytics. So, you know, >> we we >> extract ourselves on the analytics capabilities of our system as it works today with after one and so that allows us to, you know, very quickly using machine learning solve most of our customers problems. In fact, we open about 85% of our own customers tak cases for them because we predict when things were going to get rough and bumpy. So as we extend and bridge that together with what Cisco has and their Sandwich Analytics capability, it's gonna make the experience way different than it would be on a competitive sand fabric and a competitive storage array, whether it's flash or not. So that's that's what we're doing together, which makes fiber Channel better and more unique than it has been in the past. >> In terms of adoption. You mentioned when the host guys already, What's the blocker? There's just silicon. Is it just, >> you know, you could You could take Cisco's example. You know, they're they're looking at the new memory technology. And how do they apply that to the interface adapter? And how do you handle that situation? So, you know, as they evolve their next platform, it will be pervasive in that. And I'm sure that the other you know, host providers are gonna be doing >> standards standards. Low hanging fruit was envy me over converge Ethernet, right, because that was kind of the first place to start. But reality is weaken were the only vendor who can provide both of those in the Cisco side. Right. So we have the same tooling on the same, actually administrative tooling on on either. Right. So that's ah, terrific. >> And it's not just the infrastructure from the hostess, the operating system as well. So you know Lennox can take advantage of it in a different way. So, you know, we're seeing most of our deployments today, our fibre channel over Ethernet, because the the customer base that air deploying that are purely a Linux based environment. So they're able to do that. So, as you know, not all of our enterprising and commercial customers run that environment. So it's It's a little bit of the technology. It's a little bit of the Intel cycle. It's a little bit of the operating system, but the point is, we're ready. And there's a long, long road map. You know, for customers if we go this route, >> when should customers start thinking about this terms >> immediately? Right? Ultimately, it's not a question of if it's a question of when, but if they're, if they're getting things ready now, if you're making investment today, you can make an investment today that accommodates what you're doing today. Like back in the day. If we were selling a storage platform, the sandwich is sort of this necessary thing behind the scenes. That wasn't necessarily you could actually let it sit there for a couple of generations of the storage it was supporting. That's no longer going to be the case right, because, quite simply, the evolution on the storage front. And it's so much faster that you need to make sure the thing you're plugging it into. That's a simple question for any customer there. What'd you plugging this into right? Because at the end of the day, if it's just that that old san you have sitting around it may or may not be capable. Regardless of Endor, right, it's it's gonna actually diminished value you get in the time value of that investment you've made in this incredible platform. >> So where are you having these customer conversations that we talk about the joint go to market in the field? You know, it's It's not just about fibre channel and speed and storage, these air business critical work loads that are being protected and run and access to be able to extract all these insights. When you're talking with customers, where are you? You're not at the storage. I've been level. I imagine this is a much more business intensive conversation. It's a >> great question. Go ahead. >> So I think you know people that are driving the cloud platform strategy for the infrastructure. They obviously need to understand how. How does this work in a hybrid cloud or multi cloud environment? Then you've got, you know, the people that are developing the mission Mission critical business APS. Whether that's you know, Oracle s a p et cetera, et cetera. But it's also the non traditional business APS that are coming to play things that leverage stores that are file or object oriented, or kubernetes or things like that. It's so you're having discussions with the teams that are deploying the apse for the business and that will drive and dictate the requirements. Is that you know, we're trying to help the infrastructure on the cloud infrastructure teams adapt to >> multi cloud piece gets interesting here, right? Because us now talk about building massively scalable distributed systems, and you're not gonna be able to You don't want to necessarily ship all your data around, but you want to ship the metadata and be smart enough to know where the data is so you can go ship to compute right to the data, right? And I >> think that that's another interesting thing. And a positive aspect of leveraging some things we've already done with Cisco is you know they have the concept of a C I anywhere. No, you know, just like we're doing with Cloud Block store of extending that storage capability into the cloud. Cisco has done the same with a C I. So it's not just it's not sure, making sure the workload in the data payload our mobile, but also the application. And that's, you know, yes, that that may not be the case today for Fibre Channel, but the technology is there if the customer demands it. So that's 60% of Cisco's revenue in the data center comes from his networking core. That's what we're more excited about. The next generation's partnership is we feel like we've done a good job and built momentum with the computer part of their business, and I think as we evolve into this part of the business, it's gonna It's gonna be better for customers. In the end, >> it's either today, customers gonna spend more time operating this than anything, right, and really, that's all about visibility. Meantime, the resolution just how quickly they can make sure that those this thing's running and and as proactively get in front of congestion and issues at a time if they can. So it's Ah, it's a complimentary hardware software problem solved. You have to be able to do things at extremely high rates of speed with visibility I've never seen before. So analytics built into a six incredibly important stuff to get that streaming right out of the chip so you could tell what's going on at any level of the stack. Where is Like I said today, we've seen many cases now where their challenges in the network and in the sand and on the array and everyone's blind to it because our >> engineers love it because the monitoring and the scoping capability that were required, a lot of sand fabrics to deploy would require extra tools. Extra tap kits Cisco has at built in the A six so literally. It's just enable that with software. And you can do all the diagnostics you ever wanted to do at the at the wire and the fiber level, >> as opposed to a discreet probe. Exactly a disruptive drives the >> costs way out. The complexity reduces risk troubleshooting floor space, you know, the whole you know >> that's big time >> based. So today there's an issue. Last night Hey, Mike, what happened last night? I know. Let me know. That happens again. That's pretty much the ticket Close, right? We could actually go back in time now kind of a DVR and actually see now for the first time in a sand fabric what's actually happening and go back and reconstruct it to figure out how we proactively prevent it going on from the next time. So >> so, Mike, Last question. We're out of time. But last question for you. Everybody says future proof. Pardon? Everybody says future proved how are is pure delivering that with Cisco. What is it gonna mean to that business leader that I have an infrastructure in place that will truly be the food? Your proof? >> Good question. So you know, it's evergreen is the term that pure uses for you know what we do. So you never buy the same storage twice, right? And if you look at the platform that Cisco has for MDS, it is clearly capable to 400 gig capability. And today most networks are purchased for 30 to get capable with 16 gig optics, so they have 32 64. There's a long way to go here so the platform and their innovation will continue this to be, you know, a future proof network that marries up with our evergreen story. So we were excited We wouldn't get in this relationship if we felt that it was not gonna provide the same level of benefits and standard that we have for our own customers. So >> correct. Mike Andrew. Thank you for joining David me on the Q. But way. Look forward to hearing what happens in your five of the pure Cisco relationship. I know. We'll probably stay tuned. I know we'll see you again. Thank you for your time. Thanks for David. Dante. I Lisa Martin. You're watching the cue from pure accelerate 19.

>> Live from San Diego, California, it's theCUBE, covering Cisco Live US 2019. Brought to you by Cisco and its ecosystem partners. >> Welcome back to theCUBE. Our coverage of Cisco Live day three is in full effect. I am Lisa Martin with Dave Vellante and we have a couple of guests joining us. We've got Mike Bundy, head of Cisco Strategic Alliances from, guess where? The jacket should give it away, Pure Storage. And Tom Koppelman, the VP of Architecture Sales America for Cisco, hi guys! >> Hi. >> Hi. >> How ya doing? >> Thanks for bringing more brightness to our set. >> Yeah I forgot my sunglasses. >> I know, we're in the buzzy, bright DevNet Zone. We've been here all week. Great event, massive event, my goodness. 28,000 folks or so, Mike let's start with you. Give us a status of the Pure-Cisco relationship, the evolution of that, where you guys are now. What is exciting? >> Sure, so the relationship, it's unbelievable in terms of the amount of synergies and energy we have together. In fact, Tom at Cisco was really involved in the early genesis of this relationship, prior to me joining the company. And, in the last couple years, we've probably doubled in terms of our go-to-market and sell to customers together. So, tremendous growth. Partnership brings a value to us because of the strong heritage that we have from a DevNet tie-in, in terms of all the automation that we have on the platform, so. It's just a tremendous, tremendous, great partnership. >> And Tom, Cisco has a massive partner ecosystem, a lot of choice. What is it about Pure Storage that is providing advantages to Cisco? Where it's helping customers really kind of bridge this gap between hyper-converged, multi-cloud hybrid, all that jazz? >> Right, so Pure was a first mover in terms of flash storage, right. We saw demand from our customers wanting that technology to improve their data center environments. And when we partnered up early, we were able to kind of capture that momentum, right. And, when I think about our go-to-market with Pure, which is really where I kind of focus, there's very little friction in that relationship, right. There's not competitive overlap. There's not things like that. It's technology that the customers want, that they ask for, and a good field go-to-market in leadership on both sides that are willing to invest and get engaged and move the relationship forward. >> So what else are you guys doing besides just the go-to-market partnership because I got a hold of this timeline of Cisco Validated Designs that Pure and Cisco have put out over the last five years, four years. >> Right. >> And there's like 13 milestones on there. So that's roughly three a year. Of course, it started with Pure's IPO. So that's when Cisco said, all right, these guys are real. Start working with them. And in the early days, of course, you started with FlashStack. That was the flagship product. And then VDI, everybody does VDI, analysts are like, yeah, yeah, everybody does VDI. But then it started really accelerating the cadence. So it's more than just go-to-market. What's beneath that go-to-market? >> Yeah, good question. >> You want to? >> You hit the highlights of the CVD's and whatnot. >> I would say that Pure, this is our number one partnership that we have from an alliance perspective. The investment is far exceeding other partnerships we have. So, the amount of product integration that we're doing is tremendous, as you see there. We've focused on ACI and multi data centers the last couple years. We've focusing on AI and machine learning, most recently. And beyond that, we just signed an agreement and have released resell of Cisco SAN switches in the marketplace. It's the resell agreement we've ever done as a company and it just further shows the commitment in resources that we're willing to put into making sure the partnership is successful and continues to grow and evolve. >> And on top of that the investment in Cisco Intersight, in integrating with Cisco Intersight, the management platform, which is very important to us, it just shows commitment of the partnership. >> Let's talk more about that. So, how does that work? What problems is that solving for customers? >> Well, Cisco Intersight is our cloud based management offering for compute and Pure has integrated their storage platform as part of that solution. So allowing customers, whether it's a converged solution, just raw compute, a hyper-converged solution, but allowing them to manage those pools and deliver that via a cloud solution. >> So Pure plugs into the Cisco API. Now you're part of that stack, essentially. So it's transparent to the customer. And, Cisco's management plane takes care of all that. >> That's exactly right, correct, yes. >> Its' a big deal for us because it was the first integration with Intersight from any storage partner that Cisco has, right. So first to market. We want to embrace hyper-convergence, which is a big important priority for Cisco, and also bridging that gap. So as we compete against single vendor stacks, we have the right solution that customers are looking for. And ultimately, that's why it's so important for us. >> Yeah, Pure is big on firsts. First to flash, you just mentioned another first, you were the first with NVMe, before that you were with the evergreen. I mean, you like being first. >> First orange sport coat. >> That's definitely first there. (laughing) >> Let's talk about customer value though. Obviously, that's what it's all about. As we look at, not just the tremendous amount of choice that customer have when it comes to technology partners, but also the amount of data that's being generated, that's growing astronomically. Yet, organizations are getting so little value out of that because they can't extract the insights. What are you guys doing together leveraging the superpowers of AI and machine learning to help customers in any industry search a really, not just monetize that data, but really accelerate their businesses. Tom you're smiling so let's start with you. >> Yeah, so we came out with an AI server, right, our ML 480, and we've integrated that. Pure has invested, we've both invested and done an integration between FlashBlade, and I'll let Mike talk a little about FlashBlade and the value proposition of FlashBlade, but integrated that with our AI server. And our AI server is an Nvidia powered server, so it essentially gives you scale of processing and capabilities to allow you capitalize on all that data so the customers can get the information they need out of that. If you want to take a second on FlashBlade. >> And you know, AI is the buzz. It's the hot two letter acronym in the industry these days. $13 billion infrastructure opportunity, et cetera, et cetera. So, what Pure is really focused on is, data is the new oil of commodities for customers and clients. What we've built is a platform called FlashBlade, an architecture called the Data Hub, that allows you to not have to copy data and move it around and create silos in data warehouses. So, you can much easier execute a data strategy with the Data Hub architecture, using FlashBlade. When you look at machine learning in terms of how you build a data pipeline so that you can then get to quicker results from a business application standpoint with AI. That's what we've built together with Cisco. We're uber, uber, super excited a number of customers already in the last couple months. >> So I'm going to push a little on that, AI server, AI storage, people don't associate storage and server guys with AI. But if I hear you correctly, there's a $13 billion opportunity for workloads. To manage workloads running on your servers and your storage. >> Correct. >> And so you're optimizing them for AI workloads. >> Absolutely, exactly right. >> So you're not necessarily inventing AI. You're providing infrastructure so that people can leverage AI, is that right? >> Yes. >> Yeah, and the same way that we've built APIs together to work with Intersight, we do that in a way that allows our customers to leverage Cafe, other applications that can help build that data pipeline. We build the platform from the infrastructure level, it makes the management easy and we partner with all of the applications at the top end, but also the middleware and that software prepackage layer that connects via APIs to us. So, it's easy, it's agile, it's manageable, it's a cloud-like experience for the customers, right. >> Easy, agile, all awesome but security. Absolutely critical today. What are you guys doing, Tom I'll start with you, how are you guys working together infuse and integrate security into the technology so that from a customer's perspective, those risks dial down. >> So, Cisco is integrating security across all of our product portfolio, right. And, that includes our data center portfolio, all the way through our campus, our WAN, all those portfolios. We continue to look for opportunities to integrate, whether it's dual-factor authentication or things like secure data center where the highly scalable, multi-instance firewall in front of a data center, things like that. So we're definitely looking for areas and angles and opportunities for us to, not only integrate it from a product standpoint, but also ensure that we are talking that story with our customers so that they know they can leverage Cisco for the full architecture from a security standpoint. >> And the same thing on the storage of the data from an encryption perspective, and as the data gets moved or is mobile, that level of security and policy follows it wherever the data is moved. >> So, what should we expect, what's next in the time? What's 14 going to look like? You don't have top give us specifics but are we going to see blockchain CVDs? What should observers think about the partnership going forward? What could we look forward to? >> Yeah, I mean, the adoption of Container capability is tremendous in our customers environment. Cisco has a cloud Container platform available today. We're integrating that into FlashStack in the very near future. Embracing the cloud. Disaster recovery and data protection it's very hot for customers. Improving that experience so that you have faster restoration times, you're able to look at multi-tier strategy that's very easy to manage from a storage perspective, leveraging S3 with Amazon, Azure, et cetera. So, that's a couple things that are on the short term building block together. >> Yeah, I was going to comment on certainly multi cloud and Containers, those would be two of the big ones that I'd hit on, right. And, in the event of multi cloud leveraging, converged and hyper-converged together to better solve a customer's problems. >> So I was going to ask you. So hyper-converged now becomes a bridge to the cloud if, in fact, that's where customers want to go. >> Yes, it can be. >> Absolutely. >> Yeah, it can be, yes. >> Absolutely. >> Well guys thank you so much for joining Dave and me on the program, sharing with us the momentum that the Pure-Cisco relationship has and what excites you for the future. We appreciate your time. >> Thank you. >> Thank guys. >> For Dave Vellante, I'm Lisa Martin, you're watching theCUBE live from Cisco Live San Diego. Thanks for watching. (electronic music)

(bouncy music) >> Live, from Barcelona, Spain, it's theCUBE, covering Cisco Live Europe. Brought to you by Cisco and its ecosystem partners. >> Welcome back everyone. Live here in Barcelona it's theCUBE's exclusive coverage of Cisco Live 2019. I'm John Furrier. Dave Vellante, my co-host for the week, and Stu Miniman, who's also here doing interviews. Our next two guests is Mike Bundy, Senior Director of Global Cisco Alliance with Pure Storage, and Z, who's in charge of product strategy for Cisco. Welcome to theCUBE. Thanks for joining us. >> Thank you for having us here. >> You're welcome. >> Thank you. >> We're in the DevNet zone. It's packed with people learning real use cases, rolling up their sleeves. Talk about the Cisco Pure relationship. How do you guys fit into all this? What's the alliance? >> You want to start? >> Sure. So, we have a partnership with Cisco, primarily around a solution called Flashstack in the converged infrastructure space. And most recently, we've evolved a new use-case and application together for artificial intelligence that Z's business unit have just released a new platform that works with Cisco and NVIDEA to accomplish customer application needs mainly in machine learning but all aspects of artificial intelligence, so. >> So AI is obviously a hot trend in machine learning but today at Cisco, the big story was not about the data center as much anymore as it's the data at the center of the value proposition which spans the on-premises, IoT edge, and multiple clouds so data now is everywhere. You've got to store it. It's going to be stored in the cloud, it's on-premise. So data at the center means a lot of things. You can program with it. It's got to be addressable. It has to be smart and aware and take advantage of the networking. So with all of that as the background, backdrop, what is the AI approach? How should people think about AI in context to storing data, using data? Not just moving packets from point A to point B, but you're storing it, you're pulling it out, you're integrating it into applications. A lot of moving parts there. What's the-- >> Yeah, you got a really good point here. When people think about machine learning, traditionally they just think about training. But we look at it as more than just training. It's the whole data pack line that starts with collecting the data, store the data, analyze the data, train the data, and then deploy it. And then put the data back. So it's really a very, it's a cycle there. It's where you need to consider how you actually collect the data from edge, how you store them, in the speed that you can, and give the data to the training side. So I believe when we work with Pure, we try to create this as a whole data pack line and think about the entire data movement and the storage need that we look at here. >> So we're in the DevNet zone and I'm looking at the machine learning with Python, ML Library, (mumbles) Flow, Appache Spark, a lot of this data science type stuff. >> Yup. >> But increasingly, AI is a workload that's going mainstream. But what are the trends that you guys are seeing in terms of traditional IT's involvement? Is it still sort of AI off on an island? What are you seeing there? >> So I'll take a guess, a stab at it. So really, every major company industry that we work with have AI initiatives. It's the core of the future for their business. What we're trying to do is partner with IT to get ahead of the large infrastructure demands that will come from those smaller, innovative projects that are in pilot mode so that they are a partner to the business and the data scientists rather than a laggard in the business, the way that sometimes the reputation that IT gets. We want to be the infrastructure, solid, like a cloud-like experience for the data scientists so they can worry more about the applications, the data, what it means to the business, and less about the infrastructure. >> Okay. And so you guys are trying to simplify that infrastructure, whether it's converged infrastructure, and other unifying approaches. Are you seeing the shift of that heavy lifting, of people now shifting resources to new workloads like AI? Maybe you could discuss what the trends are there? >> Yeah, absolutely. So I think AI started with more like a data science experiment. You see a couple of data scientists experimenting. Now it's really getting into mainstream. More and more people are into that. And as, I apologize. >> Mike. >> Mike. >> Mike, can we restart that question? (all laughing) My deep apology. I need a GPU or something in my brain. I need to store that data better. >> You're on Fortnite. Go ahead. >> Yes, so as Mike has said earlier on, it's not just the data scientists. It's actually an IT challenge as well and I think with Cisco, what we're trying to do with Pure here is, you know that Cisco thing, we're saying, "We're a bridge." We want to bridge the gap between the data scientists and the IT and make it not just AI as an experiment but AI at scale, at production level, and be ready to actually create real impact with the technology infrastructure that we can enable. >> Mike, talk about Pure's position. You guys have announced Pure in the cloud? >> Yes. >> You're seeing that software focus. Software is the key here. >> Absolutely. >> You're getting into a software model. AI and machine learning, all this we're talking about is software. Data is now available to be addressed and managed in that software life cycle. How is the role of the software for you guys with converged infrastructure at the center of all the Cisco announcements. You were out on stage today with converged infrastructure to the edge. >> Yes, so, if you look at the platform that we built, it's referenced back, being called the Data Hub. The Data Hub has a very tight synergy with all the applications you're referring to: Spark, Tensor Flow, et cetera, et cetera, Cafe. So, we look at it as the next generation analytics and the platform has a super layer on top of all those applications because that's going to really make the integration possible for the data scientists so they can go quicker and faster. What we're trying to do underneath that is use the Data Hub that no matter what the size, whether it's small data, large data, transaction based or more bulk data warehouse type applications, the Data Hub and the FlashBlade solution underneath handle all of that very, very different and probably more optimized and easier than traditional legacy infrastructures. Even traditional, even Flash, from some of our competitors, because we built this purpose-built application for that. Not trying to go backwards in terms of technology. >> So I want to put both you guys on the spot for a question. We hear infrastructure as code going on many, many years since theCUBE started nine years ago. Infrastructure as code, now it's here. The network is programmable, the infrastructure is programmable, storage is programmable. When a customer or someone asks you, how is infrastructure, networks, and storage programmable and what do I do? I used to provision storage, I've got servers. I'm going to the cloud. What do I do? How do I become AI enabled so that I could program the infrastructure? How do you guys answer that question? >> So a lot of that comes to the infrastructure management layer. How do you actually, using policy and using the right infrastructure management to make the right configuration you want. And I think one thing from programmability is also flexibility. Instead of having just a fixed configuration, what we're doing with Pure here is really having that flexibility where you can put Pure storage, different kind of storage with different kind of compute that we have. No matter we're talking about two hour use, four hour use, that kind of compute power is different and can max with different storage, depending on what the customer use case is. So that flexibility driven to the programmability that is managed by the infrastructure management layer. And we're extending that. So Pure and Cisco's infrastructure management actually tying together. It's really single pane of glass within the side that we can actually manage both Pure and Cisco. That's the programmability that we're talking about. >> Your customers get Pure storage, end-to-end manageability? >> With the Cisco compute, it's a single pane of glass. >> Okay. >> So where do I buy? I want to get started. What do you got for me? (laughing) >> It's pretty simple. It's three basic components. Cisco Compute and a platform for machine learning that's powered by NVIDEA GPUs; Cisco FlashBlade, which is the Data Hub and storage component; and then network connectivity from the number one network provider in the world, from Cisco. It's very simple. >> And it's a SKU, it's a solution? >> Yup, it's very simple. It's data-driven. It's not tied to a specific SKU. It's more flexible than that so you have better optimization of the network. You don't buy a 1000 series X and then only use 50% of it. It's very customizable. >> Okay, do I can customize it for my, whatever, data science team or my IT workloads? >> Yes, and provision it for multi-purpose, same way a service provider would if you're a large IT organization. >> Trend around breaking silos has been discussed heavily. Can you talk about multiple clouds, on-premise in cloud and edge all coming together? How should companies think about their data architecture because silos are good for certain things, but to make multi-cloud work and all this end-to-end and intent-based networking and all the power of AI's around the corner, you got to have the data out there and it's got to be horizontally scalable, if you will. How do you break down those silos? What's your advice, is there a use case for an architecture? >> I think it's a classic example of how IT has evolved to not think just silos and be multi-cloud. So what we advocate is to have a data platform that transpires the entire community, whether it's development, test, engineering, production applications, and that runs holistically across the entire organization. That would include on-prem, it would include integration with the cloud because most companies now require that. So you can have different levels of high availability or lower cost if your data needs to be archived. So it's really building and thinking about the data as a platform across the company and not just silos for various applications. >> So replication never goes away. >> Never goes away. (laughing) >> It's going to be around for a long, long time. >> Dev Test never goes away either. >> Your thoughts on this? >> Yeah, so adding on top of that, we believe where your infrastructure should go is where the data goes. You want to follow where the data is and that's exactly why we want to partner with Pure here because we see a lot of the data are sitting today in the very important infrastructure which is built by Pure Storage and we want to make sure that we're not just building a silo box sitting there where you have to pour the data in there all the time, but actually connect to our server with Pure Storage in the most manageable way. And for IT, it's the same kind of manual layer. You're not thinking about, oh, I have to manage all this silo box, or the shadow IT that some data scientists would have under their desk. That's the least thing you want. >> And the other thing that came up in the key note today, which we've been saying on theCUBE, and all the experts reaffirm, is that moving data costs money. You've got latency costs and also just cost to move traffic around. So moving compute to the edge or moving compute to the data has been a big, hot trend. How has the compute equation changed? Because I've got storage. I'm not just moving packets around. I'm storing it, I'm moving it around. How does that change the compute? Does that put more emphasis on the compute? >> It's definitely putting a lot more emphasis on compute. I think it's where you want compute to happen. You can pull all the data and want it to happen in the center place. That's fine if that's the way you want to manage it. If you have already simplified the data, you want to put it in that's the way. If you want to do it at the edge, near where the data source is, you can also do the cleaning there. So we want to make sure that, no matter how you want to manage it, we have the portfolio that can actually help you to manage that. >> And it's alternative processors. You mentioned NVIDEA. >> Exactly. >> You guys are the first to do a deal with them. >> And other ways, too. You've got to take advantage of technology like Kubernetes, as an example. So you can move the containers where they need to be and have policy managers for the compute requirements and also storage, so that you don't have contention or data integrity issues. So embracing those technologies in a multi-cloud world is very, very essential. >> Mike, I want to ask you a question around customer trends. What are you seeing as a pattern from a customer standpoint, as they prepare for AI, and start re-factoring some of their IT and/or resources, is there a certain use-case that they set up with Pure in terms of how they set up their storage? Is it different by customer? Is there a common trend that you see? >> Yeah, there are some commonalities. Take financial services, quant-trading as an example. We have a number of customers that leverage our platform for that because it's very time-sensitive, high-availability data. So really, I think that the trend overall of that would be: step back, take a look at your data, and focus on, how can I correlate and organize that? And really get it ready so that whatever platform you use from a storage standpoint, you're thinking about all aspects of data and get it in a format, in a form, where you can manage and catalog, because that's kind of essential to the entire thing. >> It really highlights the key things that we've been saying in storage for a long time. High-availability, integrity of the data, and now you've got application developers programming with data. With APIs, you're slinging APIs around like it's-- >> The way it should be. >> That's the way it should be. This is like Nirvana finally got here. How far along are we in the progress? How far? Are we early? Are we moving the needle? Where are the customers? >> You mean in terms of a partnership? >> Partnership, customer AI, in general. You guys, you've got storage, you've got networking and compute all working together. It has to be flexible, elastic, like the cloud. >> My feeling, Mike can correct me, or you can disagree with me. (laughing) I think right now, if we look at what all the analysts are saying, and what we're saying, I think most of the companies, more than 50% of companies either have deployed AI MO or are considering a plan of deploying that. But having said that, we do see that we're still at a relatively early stage because the challenges of making AI deployment at scale, where data scientists and IT are really working together. You need that level of security and that level of skill of infrastructure and software and evolving DevNet. So my feeling is we're still at a relatively early stage. >> Yeah, I think we are in the early adopter phase. We've had customers for the last two years that have really been driving this. We work with about seven of the automated car-driving companies. But if you look at the data from Morgan Stanley and other analysts, there's about a $13 billion infrastructure that's required for AI over the next three years, from 2019-2021, so that is probably 6X, 7X what it is today, so we haven't quite hit that bell curve yet. >> So people are doing their homework right now, setting up their architecture? >> It's the leaders. It's leaders in the industry, not the mainstream. >> Got it. >> And everybody else is going to close that gap, and that's where you guys come in, is helping them do that. >> That's scale. (talking over one another) >> That's what we built this platform with Cisco on, is really, the Flashstack for AI is around scale, for tens and twenties of petabytes of data that will be required for these applications. >> And it's a targeted solution for AI with all the integration pieces with Cisco built in? >> Yes. >> Great, awesome. We'll keep track of it. It's exciting. >> Awesome. >> It's cliche to say future-proof but in this case, it literally is preparing for the future. The bridge to the future, as the new saying at Cisco goes. >> Yes, absolutely. >> This is theCube coverage live in Barcelona. We'll be back with more live coverage after this short break. Thanks for watching. I'm John Furrier with Dave Vallente. Stay with us. (upbeat electronic music)

>> Live from Barcelona, Spain. It's the cue covering Sisqo. Live Europe, Brought to you by Cisco and its ecosystem partners. >> Come back. Everyone live here in Barcelona is the key. Exclusive coverage of Sisqo Live twenty nineteen. John for David Want my co host for the week, and Stupid Man was also here, doing interviews. Our next two guests is Mike Bundy, senior director of Global Cisco Lines with pure storage and Z, who's in charge of Christ Francisco. Welcome to the Cube. Thanks for joining >> us. Thank you for having us here. >> Also one, but we're in the definite zone. It's packed with people learning really use cases. Get rolling up the sleeves. Talk about the Cisco pure relationship. How do you guys fit into all this? What's the alliance? >> You understand? >> Sure. So we have a partnership with Cisco, primarily around a solution called flashback in the Converse infrastructure space. And most recently, we've evolved a new use case, an application together for our official intelligence that Z's business unit have just released a new platform that works with Cisco and in video to accomplish. You know, customer application needs mainly in machine learning, but but all aspects of our official intel it >> Hey, Eyes, obviously hot trend in machine learning. But today it's Cisco. The big story was, it's not about the data center as much anymore is. It's the data at the center of the value proposition, which spans the on premises I ot edge and multiple clouds. So data now is every where you gonna store it? So it's going to start in. The cloud is on premises. Data at the center means a lot of things you can programme with its gotta be addressable and has be smart and aware and take advantage of networking. So, with all that is a background backdrop, what is the A I approach? How should people think about a I in context to storing data using data, not just moving package from point A to point B? But you're storing it? You're pulling it out. You're in agreeing into apple cases. A lot of moving parts there. What's that? >> Yeah, you got a really good point here. When people think about machine learning traditional age, they just think about training. But we look at this more than Chinese. The whole did a pipeline that starts with collecting the data stored the data, analyze the data between the data and didn't deploy it and then for the data back. So it's really a vory. It's a cycle there, right? It's it's where you need to consider >> how you actually collect the data from the edge, how you store them in the speed that you can and give the data to the training side. So I believe way work was pure. We try to create this as a whole data pipeline and thinking about entire data movement and the star, which need that would look here. >> So we're in the definite zone, and I'm looking at the machine learning with Python ML library >> center >> Flow of Apache sparked a >> lot of this data >> science type stuff, but increasingly a ISA workload that's going mainstream. But what The trends that you guys are seeing in terms of, you know, traditional, I tease involvement is >> it's still sort of >> a I often an island. What are you seeing there? So I'll take a take a gas stab at it. So, really, every major company industry that we work with have you know, Aye, aye. Initiatives. It's the core of the future for their business. So, no, what we're trying to do is partner with I t to get ahead of the large infrastructure demands that will come from those smaller, innovative projects that Aeryn pilot mode so that they are a partner to the business and the data scientist, rather than, you know, a laggard in the business. The way that you know, sometimes there the reputation that that I guess we want to be the infrastructure solid, you know, like a cloud like experience for the data scientists. So they can worry more about the applications, the data, what it means the business and less about the infrastructure. Okay. And so you guys are trying to simplify that >> infrastructure, whether it's converged infrastructure. No other sort of unifying approaches is Are you seeing the shift of a sort of that heavy lifting of people out now? Shifting resource is, too. You work loads like a I Maybe you could discuss trends, are there? >> Yeah, absolutely. So I think I started was more like a data signs experiment. Right? You see, want to date, assigns a couple of data science experiment. Now it's really getting into ministry. More and more people report into that and us. Apologize. Mike, Mike, The way we start that questions my deep apology. I need a GP or something. >> Like, I need to >> store the data better. >> Your fortnight? Yes. >> So as Micah's had early on, right? It's it's not just the data scientist is actually all a challenge as well. And I think was Cisco, where twenty do was pure. Here is, you know, that Cisco thing. We're saying we're breach right. We want to bridge the gap between the data scientists and the it and make it not just as experiments, but a scale at production level and be wedded to actually, Crew will impact with the technology infrastructure that we can table >> might talk about yours position You guys have announced here in the cloud. Yes, he's seeing that software. Focus software is the key here. Or you can get to a software model. Aye, aye. And she learned Only we're talking about is software data is now available to be addressed and managing that software. Lifecycle. How is this Corolla software for you guys? With converge infrastructure at the San Francisco announce your downstage day, we'll converge infrastructure to the edge. >> Yeah, so if you look at the plant, one that we built, that's it's referenced by being called the data hub. The data hub has a very tight synergy, with all the applications referring to spark tenser PLO, etcetera, etcetera cafe. So we look it as the next generation analytics, and the platform has a super layer on top of all those applications because that that's going to really make the integration possible for the data scientists. They could go quicker and faster. What we're trying to do underneath that is used the data hub that no matter what the size, whether it's small data, large data transaction based or more bulk data warehouse type applications, you know the data hub in the flash blade solution or need handle all of that very, very different and probably more optimizing and easier than traditional legacy infrastructures, even tradition, even even even flash, you know, from some of our competitors. Because, you know, we've built this a purpose built application for that, you know, not trying to go backwards in terms of technology, >> I want to put both you guys on the spot for a question. We hear infrastructure is code for going on many, many years since the few started at nine years ago. Infrastructures code. Now it's here. The network's programmable infrastructures, programmable storages, programmable What a customer! Or someone asked you. How is infrastructure Network's in storage, Programmable. And what do I do? I'm used to provisional storage. I've got servers. I'm going cloud. What do I do? How do I become? A. I enabled that I could program the infrastructure. How do you guys answer that question? >> So a lot of that comes to the infrastructure management layer, right? How do you actually using policy and using the white infrastructure managing to make the right configuration want? And I think one thing from program eligibility is also flexibility. Instead of having just a fixed conflagration. What we're doing with pure here is really having that flexibility right where you can put pure Star Ridge different kind of star, which was different, kind off. Compute that you have. No matter. It's we're talking about two are used for you. That kind of computing power is different and connects with a different Star wars, depending on what the customer use cases. So that flexibility driven by the driven to the proper program ability that is managed by the infrastructure. Imagine a layer, and we're extending that So pure and Cisco's infrastructure management actually tying together it's really single pane of glass was in decide that we can actually manage both pure and Cisco. That's the program ability that we're talking >> about. Get pure storage and to end manageability. >> Where's the Cisco compute its A single pane of glass. >> So what do I buy? I want to get started. What? What do you got for me? What you have, it's pretty simple. Three basic components, you know, Cisco Compute and a platform for machine learning that's powered by and video GP. Use Cisco Flash Blade, which is the data hub and storage component and then network connectivity from the number one network provider in the world. Francisco. Very simple. It's askew. It's a solution. It's very, very skewed. It's very simple. It's data driven, so you know it's not tied to a specific skew. It's more flexible than that. So you have a better optimization of the network. You know you don't buy a one thousand Siri's ex. Okay, Only used fifty percent of it. It's very customized. Okay, so I can customize it for my whatever data science team or my workloads and provisioning for multipurpose. Same way of service provider would ifyou're a large organization >> trend trend around Breaking Silas has been being discussed heavily. Talk about multiple clouds on premise and cloud and edge all coming together. How should companies think about their data architecture on? Because Silas Air good for certain things to make multi cloud work and all this and to end and intent based networking and all the power of a eyes around the corner. You gotta have the date out there, right? It's gotta be horizontally scaleable of you. How do you break down those silos? Twitter advises air use cases or anarchic for architecture. >> You know what I think? It's a classic example of how it has evolved to not think just silos and be multi cloud. So you know, we've advocate is is you have a date, a platform that transpires the entire community, whether its development, test engineering production applications and that, you know, runs holistically across the entire organization that would include on from it would include integration with the cloud. Because most you know cos now require, That s so you could have different levels of high availability or lower cost if your data needs to be archived. So it's really, you know, building and thinking about The data is on platform across the across the company and not just you know, silos for >> replication never goes away. Never. It's gonna be around for a long, long time. >> Deaf tests never goes away. Yeah, >> you thought some >> s o i. D On top of that, We believe where you infrastructure should go is where the data goes, right? You want to follow that where the data is, And that's exactly why I want a partner was pure here because we see a lot of the data sitting today in the very important infrastructure which is built by pure storage and want to make sure that we're not just building a sidle box sitting there where you have for the data in there all the time, but actually connected our chips. Silver was pure storage in the most manageable way. And it's the same kind of manager layer you're not thinking about All have to manage all the Sala box or the shadow it that some day that time would have under their desks. Right. That's the least thing you want it. >> And the other thing that came up in the Kino today, which we've been seeing on the Cuban, all the experts reaffirm, is moving data cost money got late in sea. Costs also just cost to move traffic around, so moving compute to the edge of moving. Compute to the data has been a big hot trend. How is the computer equation changed? I got storage. I'm moving. I'm not just moving packets around. I'm storing it and moving it around. How does that changed the computers? It put more emphasis on the computer. >> Wait, It's definitely putting a lot more emphasis on computer. I think it's where you want to compute to happen, right? You can pull all the data and I want it happen in the centre place. That's fine if that's the way you want to manage it. If you have, if you have already simplify the data, you want to put it in that way. If you want to do it at the edge near where the data sources, you can also do the cleaning there. So we want to make sure that no matter how you want to manage it. We have the portfolio that can actually help you to manage. And >> his alternative alternate processors mentioned video first. Yeah, you would deal with them in other ways to you've got to take advantage of technologies like uber, Nettie says. Example. So you can move the containers where they need to be and have policy managers for the computer requirements. And also, you know, storage so you don't have contention or data and integrity issues. So embracing those technologies and a multi cloud world, it's very, very >> like. I want to ask you a question around customer trends. What are you seeing as a pattern from a customer standpoint as they prepare for a I and start re factory? Some of their end or resource is. Is there a certain use case that they set up with pure in terms of how they set up their storage? Is it different by customers? Are a common trend that you see >> there are some commonalities, you know, like take financial services want trading as an example. We have a number of customers that leverage our platform for that. Is this very you know, time sensitive, high availability data? So really, I think the customers the trend over all of that would be a step back. Take a look at your data and focus on how can I correlate, Organize that and really get it ready so that whatever platform used from a story standpoint, you're you're thinking about all aspects of data and get it in a format in a forum where you can manage and catalog, because that's kind of the sentence. >> I mean, it really highlights all the key things that would say it in storage for a long time. I availability integrity of the data. And now you got at patient developers programming with data. This's a hole with a P IIs. Now you're slinging FBI's around like it's Tom mentioned me its weight should be. This is like Nirvana finally got here. How far along are we in the progress? How far we earlier we moving the needle? Where the >> customers himself a partnership partnership. Deanna >> and General, You guys were going to say, You got you got storage, You got networking and compute all kind of working together. That's reflex school elastic like the cloud >> I my feeling, mike, contract me or you can disagree with me. I think right now, if we look at all the wood analysts saying what we're saying, I think most of the companies more than fifty percent of companies either have deployed a Emma or are considering implant off deploying that right. But having said that, we do see that we're seeing at a relatively early stage because the challenges off making a deployment at scale where data scientist and I'd really working together, right? You need that level of security in that level, off skill ofthe infrastructure and software involving Devon I. So my feeling is where stew At a relatively early stage, >> I think we are in the early adopter face. You know, we've had customers for last two years. They've really been driving this way, worked with about seven of the automated car, you know, driving Cos. But, you know, if you look at the data from Morgan Stanley and other analysts, is about a thirteen billion dollars infrastructure that's required for a eye over the next three years from twenty, nineteen, twenty, twenty one. So you know, that is probably six x seven x what it is today, so we haven't quite hit that. >> So people are doing their homework right now. You are the leader. >> Its leaders in the industry, not mastering everybody else is going to close that gap. So that's where you guys come into helping that scale way built this. This platform with Cisco on is really flashback for a I is around scale for, you know, tens and twenties of petabytes of data that will be required for >> these targeted solution for a I with all the integration pieces Francisco built in. Yes. Great. We'll keep track of a look sighting. We think it's cliche to say future proof, but this, in this case, literally is preparing for the future. The bridge? >> Yes. Future. Yes. You >> know, as the news is good, it's acute coverage. He live in Barcelona with more live coverage after this short break. Thanks for watching. I'm John Barrier, but David won't they stay with us. >> Thank you.

>> Announcer: Live, from Barcelona, Spain, it's theCUBE! Covering Cisco Live 2018. Brought to you by Cisco, Veeam, and theCUBE's ecosystem partners. >> We're back, I'm Stu Miniman and we're here in the DEVNET Zone at Cisco Live 2018, beautiful Barcelona. Happy to welcome to the program, first time guest, Mike Bundy who is the head of Global Strategic Alliances with Pure Storage, thanks so much for joining us. >> Thank you, thanks for having me. >> As a first time guest, give us a little bit about your background, you're relatively new to Pure, but you know this ecosystem quite well. >> Absolutely, so, relatively new with Pure. Spent 21 years at Cisco leading various technology groups in the company. Most recently from there led the Global Enterprise Data Center sales force, so a lot of background, experience around cloud, virtualization, automation in the data center space, so very excited to be at Pure. >> When you talk about Pure, here at the Cisco show, I know it's FlashStack, but give us a little bit of the kind of the breadth and the depth of the relationship there. You hear a lot of themes talked about at this show, everything from IoT, just the future of where all these technologies are going, so where is the intersections? >> Yeah, so FlashStack is a partnership that Cisco and Pure have to deliver converged infrastructure in the marketplace. What differentiates us is really our ability to derive high, high performance. You'll definitely see value as you deploy just about any database application. It drives a much more economical, valuable solution to the customer base as a result of that. And we're poised to capture new trends in the marketplace with explosion of IoT, intelligence, whether it's deep learning, neural networks, or business intelligence, with the likes of SAP or various other applications deployed on Hadoop infrastructure. >> Want to unpack some of those, because you said a lot there. Our research from Wikibon coming into 2018, data's at the center of it all. I mean, talk to Cisco, data, majorly important. Not just moving it things, but how do I get value out of the data. Start with IoT, you mentioned in there, how does a company, I think a pure storage company, how does Pure have an impact in relationship on the IoT discussion. >> Right, so, IoT in itself is driving a huge explosion in terms of the amount of data. In two years, according to IDC, it'll be 20 times the amount of capacity on the internet will be the amount of data that's created, so for us, deploying a platform that allows you to really take data and look at it as a platform and how you use it is really one of our strengths of the company. Our software set is called Pure1 and it really takes a look and helps you handle and manage that data very differently than any of the other traditional storage solutions that have been in the marketplace. But it was all built on the foundation of Flash, so you get the scale and you get the performance that Flash brings at the same time. Very, very powerful, and we're glad to see trends driven by IoT to drive that explosion for us. >> FlashStack, talk a little bit about it. What is interesting to customers these days? The trend of converged infrastructure now has gone on for over eight years. There's the buzz of hyperconverge, there's cloud is kind of front and center, why is converged infrastructure in general, and FlashStack specifically so important today? >> If you break down the market in terms of where converged infrastructure fits, it's both in the hybrid cloud and the private cloud side of things. There's still tremendous growth in the private cloud world where we see a lot of deployments there. If you look at the solution, it's very cohesive with what Cisco has, from a UCS standpoint. It's a stateless platform, it's very simple to manage, it's very scalable, you can get 10 times the rack density from a storage and compute perspective with a FlashStack than you can the competitors'. So it's really an innovative, modernized, converged infrastructure stack. As you said, CI's been around for eight years, this FlashStack's been in the marketplace about two years and has had tremendous growth in that timeframe as a result. We continue to try to drive simplification, automation, a different consumption model, how you maintain it, from a cost perspective is different, so it has a very unique value proposition compared to other CIs in the marketplace. >> One of the founders of Wikibon, David Floyer, when the Flash wave started he said to companies, it's database, database, database, there's so much opportunity to really transform both the economics as well as the business productivity. It wasn't the first-use case that happened in converged infrastructure, but definitely somewhere Pure's focus has been. Talk about what are some of the results, what did customers see when they moved to CI for business-critical applications like database. >> If you look at the timing that it takes to develop an application, a lot of that is how easy are you able to grab the data, create a usable format of that, do your development test cases, and then move it back into production. So the way that the FlashStack and the Pure Flash arrays allow you to take that data, you don't have to necessarily copy it and create replicas, it's very fast and easy and we've seen developers cut down 25-30% of the development time on an SAP database or an Oracle database, right? So it's drastically different than what they've been used to in the past. >> Mike, you lived for years on the Cisco side of the equation and now you're partners. What's it like to be a Cisco partner these days? They've got dozens of partnerships on the storage side, so how do they make Pure feel special yet understand kind of the cooperative nature of our industry. >> I think what we're trying to make sure we do here is focus on the customer outcome, right? So we are really working day-in and day-out to make sure that whatever we do drives business value to the customer. And that is what separates the partnership from others. When you take a look at that, it's given us the ability to grow the amount of resources that Cisco and Pure can contribute into the marketplace. It also has allowed us to help develop new lines of business for some of our other partners in the ecosystem. It's very competitive, as you call out, but there's still a great partnership here and Cisco's been very supportive of our growth. >> It's been a few years since I've attended a Cisco Live myself, but feels that the attendees and the focus of the show has gone through a bit of a transformation. We're sitting here in the DEVNET Zone, lots of people here coding. I walked through the World of Solutions, it's not just networking, you know, networking's a big piece. What have you seen changing over the few years? How does that impact Pure and just personally, what do you look at this ecosystem? >> Going back to what I said earlier, it's all about driving value for the outcome of the customer. What is the business challenge you're solving, what is the opportunity they're seizing and how can we develop a more agile platform that allows their software teams to really take advantage of that. So really that's what we're focused on, is what can we build horizontally that makes the platform more cloud-friendly, more automated, and then you can drive down to specific vertical value propositions within that, whether it's automotive industry, airline industry, healthcare industry, et cetera. That's really where I've seen a transition from, it's not as much about speeds and feeds of the infrastructure, it's about the higher-level outcome for the customer business. >> When it comes to Pure's business in general, and FlashStacks specifically, any differences here in the European geographies compared to the United States that you could comment on? >> Not really. I think from a Flash adoption period, the adoption rate has been higher for all Flash arrays in the United States. As you move to Europe, we're seeing an acceleration of that here. What we saw, probably about two years ago in the United States, so there's actually a ton of excitement here now, in terms of the opportunity for the FlashStack and what Flash can do for that. >> It's interesting you mention for Flash, and even for converged infrastructure, there's still a large percentage of the market that hasn't kind of dove in. >> Correct. >> Any commentary as to what's holding people back or you know, some "aha" moments that you've had customers that, those that haven't gone for the simplicity of converged or hyperconverged, that they should get on board? >> I think if you look at Flash in general, it was focused on high IOPS, input/output performance requirements initially, virtualization, virtual desktops were very big, and then your higher-performance applications now. Now that you've seen what we've been able to drive in terms of full functionality across the platform, it's not just about Flash and performance, it actually is about a storage platform now. And the economics of the entire support are making it more palatable now to move other workloads. I think you'll continue to see this expansion, I think Gartner and IDC talk about the next three to five years, you'll see a much greater greater density of applications moving onto Flash versus what it was in the past. We're actually releasing very soon and we'll be integrating into FlashStack other platforms that we have around FlashBlade, which is real focused on unstructured data. Things that wasn't necessarily rows and columns from a block storage perspective. And I think you'll see that help drive some of this disruption and transition in that space. >> Mike, as we look into 2018, what should customers look to find from the Pure and Cisco partnership? >> Absolutely. We'll continue to drive more tools with FlashStack that allow you to more easily and rapidly deploy the system itself. We will also be looking toward new-use cases that are very relevant in this space. To capture the demands of the customer, so things around business intelligence, things around artificial intelligence, we'll scale that out. And you'll also look at seeing us drive toward more scalable, foundational elements of a storage platform. So those are some of the things that you'll definitely see from us moving forward. >> All right, well Mike Bundy, really appreciate all the updates on Pure, on FlashStack, and your partnership with Cisco. We'll be back with lots more coverage here from Cisco Live Europe 2018 in Barcelona, I'm Stu Miniman, you're watching theCUBE. (bright poppy music)

[Announcer] Live from Barcelona, Spain, it's theCUBE! Covering Cisco Live 2018. Brought to you by Cisco, Veeam, and theCUBE's ecosystem partners. >> We're back. I'm Stu Miniman and we're here in the DevNet Zone at Cisco Live 2018, beautiful Barcelona. Happy to welcome to the program first-time guest Mike Bundy, who is the head of global strategic alliances with Pure Storage. Thanks so much for joining us. >> Thank you, thanks for having me. >> So, first-time guest. Give us a little bit about your background. You're relatively new to Pure, but you know this ecosystem quite well. >> Absolutely. Relatively new with Pure. Spent 21 years at Cisco leading various technology groups in the company. Most recently from there led the global enterprise data center sales force. A lot of background experience around cloud, virtualization, automation of the data center space, so, very excited to be at Pure. >> When you talk about Pure here at the Cisco show, I know it's FlashStack, but give us a little bit of the breadth and the depth of the relationships there. You hear a lot of themes talked about at this show, everything from IoT and just the future of where all these technologies are going. Where is the intersection? >> FlashStack is a partnership that Cisco and Pure have to deliver converged infrastructure in the marketplace. What differentiates us is really our ability to derive high, high performance. You'll definitely see value as you deploy just about any database application. It drives a much more economical, valuable solution to the customer base as a result of that. We're poised to capture new trends in the marketplace with the explosion of IoT intelligence, whether it's deep learning, neural networks, or business intelligence, with the likes of SAP or various other applications deployed on hadoop infrastructure. >> I want to unpack some of those, 'cause you said a lot, there. Our research from Wikibon, we see coming into 2018, I mean, data's at the center of it all. We talked to Cisco, data, majorly important. It's not just moving it things, but how do we get value out of the data? Start with IoT, you mentioned in there. How does a company, I think at Pure, it's a storage company. How does Pure have an impact and relationship on the IoT discussion? >> IoT in itself is driving a huge explosion in terms of the amount of data. In two years, according to IDC, it'll be 20 times the amount of capacity on the internet will be the amount of data that's created. For us, deploying a platform that allows you to really take data and look at it as a platform and how you use it is really one of our strengths at the company. Our software set is called Pure1, and it really takes a look and helps you handle and manage that data very differently than any of the other traditional storage solutions that have been on the marketplace. But it was all built on the foundation of Flash, so you get the scale and you get the performance that Flash brings at the same time. So, very, very powerful, and we're glad to see trends driven by IoT to drive that explosion for us. >> FlashStack, talk a little bit about it. What is interesting to customers these days? The trend of convergent infrastructure now has gone for over eight years. You know, there's the buzz of hyperconverge, there's cloud, is kind of front-and-center. Why is converged infrastructure in general, and FlashStack specifically, so important today? >> If you break down the market in terms of where converged infrastructure fits, it's both in the hybrid cloud and the private cloud side of things. There's still tremendous growth in the private cloud world where we see a lot of deployments, there. If you look at the solution, it's very cohesive with what Cisco has, from a UCS standpoint. It's a stateless platform. It's very simple to manage. It's very scalable. You can get 10 times the rack density from a storage and compute perspective with a FlashStack than you can the competitors. It's really an innovative, modernized converged infrastructure stack. As you said, CI's been around for eight years. The FlashStack's been on the marketplace about two years, and has had tremendous growth in that time frame as a result. We continue to try to drive simplification, automation, a different consumption model. How you maintain it from a cost perspective is different, so it has a very unique value proposition compared to other CIs in the marketplace. >> One of the founders of Wikibon, David Floyer, when the Flash wave started, he said to companies, "It's database, database, database." There's so much opportunity to really transform both the economics as well as the business productivity. It wasn't the first use case that happened in converged infrastructure, but definitely somewhere, Pure's focus has been. Talk about, some are what of the results? What did customers see when they moved to CI for business-critical applications like database? >> Key, key. If you look at the timing that it takes to develop an application, a lot of that is how easy are you able to grab the data, create a usable format of that, do your development test cases, and then move it back into production. The way that the FlashStack and the Pure Flash arrays allow you to take that data, you don't have to necessarily copy it and create replicas. It's very fast and easy. We've seen developers cut down 25%, 30% of the development time on an SAP database or an Oracle database, right? It's drastically different than what they've been used to in the past. >> All right, so, Mike, you've lived for years on the Cisco side of the equation. Now you're a partner. What's it like to be a Cisco partner these days? They've got dozens of partnerships on the storage side, so how do they make Pure feel special, understand the cooperative nature of our industry? >> I think what we're trying to make sure we do, here, is focus on the customer outcome. We are really working day in and day out to make sure that whatever we do drives business value to the customer. That is what separates the partnership from others. When you take a look at that, it's given us the ability to grow the amount of resources that Cisco and Pure can contribute into the marketplace. It also has allowed us to help develop new lines of business for some of our other partners in the ecosystem. It's very competitive, as you call out, but there's still a great partnership here. Cisco's been very supportive of our growth. >> It's been a few years since I've attended a Cisco Live myself, but feels that the attendees and the focus of the show has gone through a bit of a transformation. We're sitting here in the DevNet Zone. Lots of people here coding. I walked through the World of Solutions. It's not just networking, you know. Networking's a big piece. What have you seen changing over the few years? How's that impact Pure, and just personally, what do you look at this ecosystem? >> I think, going back to what I said earlier, it's all about driving value for the outcome of the customer. What is the business challenge you're solving, what is the opportunity they're seizing, and how can we develop a more agile platform that allows their software teams to really take advantage of that? Really, that's what we're focused on, is what can we build horizontally that makes the platform more cloud-friendly, more automated? And then you can drive down to specific vertical value propositions within that, whether it's automotive industry, airline industry, healthcare industry, et cetera. That's really where I've seen the transition from. It's not as much about speeds and feeds of the infrastructure. It's about the higher-level outcome for the customer business. >> When it comes to Pure's business in general, and FlashStack specifically, any differences in here in the European geographies compared to the United States that you could comment on? >> Not really. I think, from a Flash adoption period, the adoption rate has been higher for all Flash arrays in the United States. As you move to Europe, we're seeing an acceleration of that, here, of what we saw probably about two years ago in the United States. There's actually a ton of excitement here now, in terms of the opportunity for the FlashStack and what Flash can do for that. >> It's interesting, you mentioned for Flash and even for converged infrastructure, there's still a large percentage of the market that hasn't dove in. Any commentary as to what's holding people back, or some aha moments that you've had customers that, those that haven't gone for the simplicity of converged or hyperconverged, that they should get on board? >> I think if you look at Flash in general, it was focused on high IOPS, input/output performance requirements initially. Virtualization, virtual desktops were very big. And then, your higher-performance applications. Now that you've seen what we've been able to drive in terms of full functionality across the platform, it's not just about Flash and performance. It actually is about a storage platform, now, and the economics of the entire support are making it more palatable now to move other workloads. I think you'll continue to see this expansion. I think Gartner and IDC talk about the next three to five years, you'll see a much greater, greater density of applications moving on to Flash, versus what it was in the past. We're actually releasing very soon, and we'll be integrating into FlashStack other platforms that we have around FlashBlade, which is real focused on unstructured data, things that wasn't necessarily rows and columns from a block storage perspective. I think you will see that help drive some of this disruption and transition in that space. >> Mike, as we look into 2018, what should customers look to find from the Pure and Cisco partnership? >> Absolutely. We'll continue to drive more tools with FlashStack that allow you to more easily and rapidly deploy the system itself. We will also be looking toward new use cases that are very relevant in this space, to capture the demands of the customer. So, things around business intelligence, things around artificial intelligence, we'll scale that out. You'll also look at seeing us drive toward more scalable, foundational elements of a storage platform. Those are some of the things that you'll definitely see from us moving forward. >> Well, Mike Bundy, really appreciate all the updates on Pure, on FlashStack, and your partnership with Cisco. We'll be back with lots more coverage here from Cisco Live Europe 2018 in Barcelona. I'm Stu Miniman. You're watching theCUBE. (fast electronic music)