>> 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?

>> from Austin, Texas. It's Theo Cube, covering your storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Q B. All the leader in live tech coverage. I'm Lisa Martin with David Dante. Couple of gents back on the Cube we have on Stuart the VP of technology for pure von. Welcome back. >> It's great to be here. Thanks for being accelerate. >> Were accepted severe. And we've got Carrie Stanton, VP of Global Biz Dev and corporate development from Theme Carrie, Welcome back. Thank you very much. I'm in the rain. I love the love it planned. Of course. Thank you. Very good branding here. Lots going on with theme and pure. Let's secure. Let's go ahead and start with you. Talk to us about the nature of the V Impure partnership. I'm assuming better together, but give us the breakdown. Sure, >> we've had a relationship for many years, but over the past three years we've seen it. You know, this year, counting this year, like the scale out is just unbelievable. We're growing at triple digits on our Cosell winds in the field, all of its writing, all of the predominantly being driven from the flash blade success that we've had in the marketplace, Our customers are buying into the performance that they have. Our our relationship is growing through joint innovation and joint development. And so what we've seen is raising them to a global partner, on having dedicated resources on it, as only amplified our success. We have. So yeah, it's fantastic. >> And then one from your perspective, what are some of the things that you are hearing? Are you guys being brought in? Maur from team customers is being being brought in more from pure side. What's that mixed like >> we've had? We've had a strong set of channel partners that I think promoting our joint solution on our products kind of a top of their line card. Of course, there's always the customer requested to get pulled in, and I think customers who have experienced either one of our products look at their satisfaction. They look extremely it, like NPS scores right and say, you know, if I'm a pure customer, there's a data protection company. That's gotta nps very similar years, you know, tell us more about what you're doing with with theme. If you look at kind of our common ethos. Right simplicity in the model right co innovation Help Dr Scale. Whether it's been through joint A P I integration with the universal adaptor or tryingto lean into next generation architectures like Flash to flash the cloud. It's just been a very easy progressive partnership to drive and bring in a market. >> Talk more about that joint development. Um, there's a start in the field. No engineering resource is I'd love to Have you had some color to that? >> I think I think I think it's >> a combination of. So we'll start with a universal adapter that was beams initiative to help add scale to the back of process to as you're putting virtue machines into backup mode along, you know, leverage these the storage controller snapshots so that you could come in and out of that back about very quick. V, invisible to production operations, offload a bunch of data processing and in time, out of the equation that just helps scale right back up, more virtual machines faster. That's a program that they initiated that we were one of the founding partners on one of the first partners to publish ah Universal adaptor, or R A p i for it. The >> results have been The results are pure is by far the number one partner for downloads for a customer downloads that we have across our partner Rico system. So we have a vote 15 partner Rico Systems that have written to the universal FBI on. So just last week, you know, over 3000 downloads surpassed over 3000 downloads. Here is 6500 customers. I'll let you do the math. All right, so it's it's great that we see such strong adoption from their customer base. Almost 50% of their customers are team customers on. Then that >> contusion. That's hi, >> It's very high. >> Wow. So give me your favorite customer example that really articulates the value that pure brings the value that being brings. >> We've got a lot going on in the financial space in the healthcare space. >> Butler Health is a joint customer that we have a customer reference win that they've published in that we've published on dhe obviously many, many more, but especially in the people, customers in the financial health care that are looking for performance on Dhe. Looking to that flash blade, a za landing zone that's going to give them more than just a backup target. It's going to give them the ability to leverage it for a I and ML and many other factors, which is again, one of the reasons why we've seen such strong adoption. >> You talk about health care, we're talking about patient data, lives at stake. Give me some of the meat about what this customer, for example, is achieving at the business. Subtle and the human lives level >> Well, I think what they're seeing is of what they were used. It's not so much the exact stats that I could give you down to how money they're getting per second, but it's what they were using before, which is one of the legacy competitors that we have, which we call. You know, some of these donors that they give to market share that we take away day in and day out with without saying names. But there was a reform replace that we came in and taking a second generation solution from a legacy hardware appliance that was being used previously in a secondary storage. >> Yeah, allow me to elaborate a bit, right? So you asked about the technology we kind of talked about the universal adapter for the off load where we've really seen growth has been in this notion of flash to flash the cloud and peers introduced this notion of rapid restore. So again, how do we grow our businesses together? Growing amore mission critical or patient? Critical deployments has been this notion of not just backing up the data faster. That's kind >> of the the >> daily repetitive task that no organization wants to to deal with. Where the rubber meets the road is Can you put the data back? And we've seen this explosion in the increase of of the capacity of data, set sizes and the pressure they put on restoring that data. When you happen to have, ah, harbor failure, a data center go off line or a power issue and this goes so you go back to patient records gotta be online when everything fails and there's an issue with a chair, whatever. Maybe how quickly can we get the data? And we're orders of magnitude faster, then the legacy >> platform. So having an integrated appliance is part of that key and co engineering. Is that right? I mean, you guys pure software no pun intended, right? You don't want to be >> No, no, it sze taking the they wrote to our a p I right So the work that they did on the FBI and then continue to innovate and iterated against it right and coming out with the next version that they just come out with it is, is just differentiating themselves in the marketplace. And that's really what we're seeing. And we're seeing that success that the enterprise today, from what we have without even looking forward to our upcoming V 10 which is gonna have some high end enterprise feature sets. >> And we want to get into that. But something that mom that you were just saying It's almost as if data protection is no longer just an insurance policy. It's an asset. We have to be able to get it back. >> Absolutely fuel, We believe if you look at the legacy backup appliances, they were designed and optimized for short backup windows and are proving to be a challenge at restoring the data, which is actually where the value in the architecture is. We've talked about rapid restore in bringing, flashing that space. We worked with team engineering on V 10 actually double that performance so that customers, as they upgrade their code line, can again bring those mission critical workloads back online even faster than in the past. In addition to that, we've worked through some of the VM integrations for customs who want to mind that data who want to clone those workloads and bring them up on online and ADM or analytics or searching the metadata of that data. So there's a lot going on besides just your backup and recovery. >> So you guys are saying, Chuck, the appliance don't need the appliance. You've got a better model. Is that what I'm hearing? Or >> we win against appliances day in and day out? So absolutely software. Best of breed software. Best of breed storage hardware. >> What should we expect for V 10 adoption there? You guys announced in the spring? >> Yes, and it will shift in Q four. Dave, honestly, this is gonna be Anton is gonna shit >> a good track record. They're gonna go out there. >> No, but we have some key features that will differentiate us in the marketplace, especially as we go to the enterprise with pier storage, such as immune ability right, So that's a feature that we've talked about. You know, we've been hyping because we believe in it that what it's gonna bring for the protection of ransom, where malware and it's it's gonna be a game changer. We believe in the marketplace and our famous now, as they were finally gonna support now support for their enterprise customer base. So, I mean, those two keep features in and of itself. So again, I talked about the scale that we're having today in the marketplace without these key enterprise features and then having those chip, you know, in the next 90 days are again we believe just gonna continue to elevate our business. >> We're talking to Charlie earlier today about just a CZ. Part of his job is tam expansion and data protection is an obvious area for that. You could have chosen to go buy a small software company, certainly have the cash on your balance sheet and compete. We have chosen to partner talk about the opportunity that you guys jointly see in terms of the market you can penetrate. >> I think it is such a Our ecosystem is so comprised today of partnerships that are based on. On one hand, you're partnering, and on the other hand, you're competing that it is. It is really refreshing to find a partnership like Veen, where we've got very clear lines of what our product offerings are, where they come together and no competitive obstacles. It makes partying in the field the easiest, right? We've got great partnerships across the board somewhere. Appliance vendors. Sometimes those partnerships work fast. Sometimes they running hurdles. We never run into a hurdle together, so it's worked very well. I think our partners, our channel partners, have preferences around the server side that they like to go to market with. We give them the freedom together to pick and choose. So they put invested class software with best class storage to to meet the needs. They put the rest together based on what fits their business model or their current agreements go forward. So >> clear, clear swim lanes, Big market. You guys showed some data at V Mon. I want to say Danny's data, maybe $15 billion Tim man larger. You guys get a piece of that, you get a piece of that >> on a savant said. It's just there's no there's no friction in the marketplace is going out and doing the work we need to do to win. But we never get it that Oh, we can introduce this because it's gonna compete with, even if it's only 2% of what they have, there's there's looting. No, they do not have data protection. And we don't do as, you know. We don't do hardware in storage. So again invested breeds. And I >> think those numbers maybe even conservative because, you know, as you were pointing out, the traditional backup products were designed to deal with the biggest problem, which was back up window, which, by the way, 60% of times the backup didn't work anyway. But you have to get inside of, you know, Yeah, we backed it up check. But backup is One thing is my friend Fred Morris. Recovery is everything. So things are shifting in a digital business recovery. You know, it is tantamount. You know, ever you can't ever not be without your data. So it's an imperative. Yeah, >> it's, um, when you're and the flashlight business unit first came up with the construct of a rapid restore. I mean, admittedly, I was sitting in the corner. I'm just saying there's no way. There's no way that a customer would look to pay a premium for Flash for their backup. And then you meet the customers and it's just one after the other. And there's these stories around. We had to stop production. We couldn't get the AARP back online. Right Way couldn't take transactions because the processing database of the purchasing database was off line and you're just sitting there going. These are really world right issues that impact revenue for organizations. And so we are going through an evolution about rethinking around data protection and what it means into in today's day and age. >> It's security. Such top of mind carry today on the CEO's mind and data protection is part of that. Backup is a key part of that. You think about Ransomware, right? You guys get solutions there. I mean, it all fits together. It's not these sort of bespoke, you know, ideas anymore. It's really one big mosaic so that people can drive their digital transformations. I mean, that's really what they care about. >> I think the themes, old slogan, it just works right. It continues to evolve and that you talked about backup not working in the first place, right? So we have our core fundamental foundations. That theme has right is that it will trust that the customer will know that it will be online. We have the shortest r p o r t o is right in the marketplace, and then you take that and the's enterprise class features again. That's why marrying it with Piers route to market and there go to market strategy is having the success we're having in the marketplace. >> You're hearing a lot from customers. Flash Flash MacLeod. This is There is a very strong need for this. Some of the things that were announced today terms up some more firsts that piers delivering to the market. What are some of the things that you guys were? You maybe Carrie. We'll start with you from themes partnership perspective like a flash Teresi, for example, or starting to be able to deliver. I saw Blake smiles, uh, be ableto bring the cost down so that customers could look at putting a spectrum of workloads, even backups on flash. What is themes? Reaction? Well, smiles. I tend to >> do with Lisa, but I mean, to be honest with you. We sit back and love everything that piers doing from innovation. And so if they're going to come out with a broader set of target solutions for secondary storage, then we're going to be there partner there as we are with flashlights. So we're sitting back and loving the innovation that they're bringing to the market place and to their customers. >> I saw that Cheshire cat grin von >> s o for the audience who may be missed. We had a number of product announcements this morning taking the flash ray from a single product line into a portfolio going to that two year zero workload with the direct memory cache acceleration powered by Intel's often products as we go into a chair to economic space but still keeping all the Tier one features and availability we not flash or a C, which is leveraging QSC is a storage medium. Uh, while we have a design, do expand our tam and find new workloads. We have not looked at backup for the flash rate. See, at this point the flash, the flash, the cloud powered by the data hub in the rapid restore is going strong, so you want to kind of keep the team focused on that? And we've got other markets that we have yet to penetrate that have been more price sensitive where we think the flash racy is a better alignment. Now again, maybe over time I'll be found wrong and we'll change our tune. But you know, I'll give an example. Go back to Ransomware. Ransomware is a top three question in terms of any storage conversation. When you deal with a financial institution today to the point where not only are they asking about, what are you doing in your products? What are you doing across your partner ecosystem? Some of the modern proof of concepts required it to go through a ransomware recovery procedure because you know these financial institutions, they're worried about getting not just locked out, but locked out on your H a sight because you just replicated the ransomware over. So this this ability have immutable, immutable image to bill to bring it back online fast a rapid restored somewhere. You could see what these technologies start to line up in a comprehensive solution for the customers, and so flash racy is great. It has nowhere. The band with a flash blade. So we're gonna try to keep those a separate products in different markets at the time. But at least for time being, >> thanks for clarifying >> that cloud. I gotta ask the quad cloud question. It's interesting you guys have both embraced. Cloud is you're seeing it. In the old days, I was saying, I think I'm saying Charlie again. Executives were like, No, don't do that. It's gonna kill us. But now it's okay. It's not a zero sum game. That trend is your friend. You gotta embrace it. How are you making cloud each of you a tailwind versus the You know what all the analysts expect ahead, What else gets going? Zero sum game is going to steal from a to B. >> Well, I mean, Dave, you can imagine from my vantage point, it's easy to say that we're looking at Cloud is just, you know, expanding the TAM, expanding the ecosystem features we have today at the archive here. The success we're having with both Microsoft Azure and eight of us are phenomenal. Growing 40% month over month, right, the adoption with all the new innovations that Danny and Antonio have talked on the show that were coming out with envy. 10 are only gonna amplify that. But it all starts back with our partners ships today that we have one private clouds and as customers are looking to evolve to the cloud So we work with our partners like peer to ensure that we're working with them today. And as customers want to embrace the cloud they can. But predominantly, those primary workloads are still remaining on Prem and they're looking on how they're going to support the cloud. And we're doing that today and we'll be doing that. Maura's we go forward >> block storage announcement you guys made today was quite interesting way now spinning up East End shoes and s threes And what >> So this morning we announced general availability for pure Claude Block store on AWS and plans, as we are currently in beta and development for other clouds. But the folks today is this AWS and you pair Claude Block store, which is basically the software of a flash ray architect for the hardware inside of a W s so that you have the same functionality and service that you have on Prem and you pair that with pure is a service, which is our op X moderate could pay as you consume and the flexibility of sign a 12 month contracts. You want 90% on Prem today in 10% of cloud two months from now, you want it 50 50 like used the utility model to consume wherever you want, so you can meet the requirements of your infrastructure, whether it's on Prem in the cloud or some hybrid combination. >> But the interesting thing to me was your doing a lot of the heavy lifting for the customers with regard to the architecture. What you architect in the club that I wonder. Is there an opportunity to do something like that with backup? Or is that just, you know, not economical, deep, deep archive, things like that? I mean, >> I'm pretty sure we're told not to make any news right now because >> stay tuned. I've already said >> too much, so I'm probably a >> good thing. We're live >> in big trouble. >> Wow, guys. So the 1st 10 years of pure, tremendous amount of innovation is, Charlie said, an overnight success in 10 years, so much more coming down. We've already heard about a tremendous amount of innovation and evolution today. So we can't wait to have you guys back on to the next event in here. Get our neck braces on for the whiplash of news that's gonna be coming at us. All right. We are like your day Volante. I'm Lester Martin. Go pats. >> You're sorry. And Bruce. Carrie and I were crazy >> sports fans. Let's just be very PC. Go, everybody. Everybody gets participation. Trophies just coming anyway. You're watching the Cube. Lisa Martin for day, Volante. Thanks for watching.