>>mhm. >>With me now are Manish Agarwal, senior director of product management for Hyper Flex at Cisco at Flash for all number four. Love that on Twitter And Deron Williams, the director of business development and sales for Cisco Mister Hyper flex at Mr Hyper Flex on Twitter. Thanks, guys. Hey, we're going to talk about some news and and hyper flex and what role it plays in accelerating the hybrid cloud journey. Gentlemen, welcome to the Cube. Good to see you. >>Thanks, David. >>Thanks. Hi, >>Daryn. Let's start with you. So for hybrid cloud you gotta have on Prem Connection. Right? So you've got to have basically a private cloud. What are your thoughts on that? >>Yeah, we agree. You can't, but you can't have a hybrid cloud without that private element. And you've got to have a strong foundation in terms of how you set up the whole benefit of the cloud model you're building in terms of what you want to try and get back from the cloud, you need a strong foundation. I'm conversions provides that we see more and more customers requiring a private cloud, and they're building with hyper convergence in particular hyper flex no to make all that work. They need a good, strong Cloud operations model to be able to connect both the private and the public. And that's where we look at insight. We've got solution around that. To be able to connect that around a Saas offering that looks around simplified operations, gives them optimisation and also automation to bring both private and public together in that hybrid world. >>Darren, let's stay with you for a minute when you talk to your customers. What are they thinking these days, when it comes to implementing hyper converged infrastructure in both the the enterprise and and at the edge? What are they trying to achieve? >>So there's many things they're trying to achieve? Probably the most brutal honesty is they're trying to save money. That's probably the quickest answer, but I think they're trying to look at in terms of simplicity. How can they remove layers of components they've had before in their infrastructure? We see obviously collapsing of storage into hyper conversions and storage networking, and we've got customers that have saved 80% worth of savings by doing that, a collapse into hyper conversion infrastructure away from their three tier infrastructure. Also about scalability. They don't know the end game, so they're looking about how they can size for what they know now and how they can grow that with hyper conversions. Very easy is one of the major factors and benefits of hyper conversions. They also obviously need performance and consistent performance. They don't want to compromise performance around their virtual machines when they want to run multiple workloads. They need that consistency all the way through. And then probably one of the biggest ones is that around. The simplicity model is the management layer ease of management to make it easier for their operations that we've got customers that have told us they've saved 50% of costs in their operations model, deploying out flex also around the time savings. They make massive time savings which they can reinvest in their infrastructure and their operations teams in being able to innovate and go forward. And then I think that we one of the biggest pieces we've seen as people move away from three tier architecture is the deployment elements, and the ease of deployment gets easy with hyper converged, especially with edge edges of major key use case for us and what I want. What our customers want to do is get the benefit of the data centre at the edge without a big investment. They don't compromise in performance, and they want that simplicity in both management employment. And we've seen analysts recommendations around what their readers are telling them in terms of how management deployments key for it, operations teams and how much they're actually saving by deploying edge and taking the burden away when they deployed hyper conversions. As I said, the savings elements to keep it and again, not always, but obviously those are his studies around about public Cloud being quite expensive at times over time for the wrong workloads. So by bringing them back, people can make savings. We again have customers that have made 50% savings over three years compared to their public cloud usage. So I'd say that's the key things that customers looking for >>Great. Thank you for that, Darrin minutes. We have some hard news. You've been working a lot on evolving the hyper flex line. What's the big news that you've just announced? >>Yeah, Thanks. Leave. So there are several things that we are announcing today. the first one is a new offer, um, called hyper Flex Express. This is, you know, Cisco Inter site lead and Cisco and decide managed it Hyper flex configurations that we feel are the fastest part to hybrid cloud. The second is we're expanding our server portfolio by adding support for HX on AM Iraq, U. C s and Iraq. And the third is a new capability that we're introducing that we're calling local contemporaries witness. And let me take a minute to explain what this is. This is a very nifty capability to optimise for forage environments. So, you know, this leverages the Ciscos ubiquitous presence. Uh, the networking, um, you know, products that we have in the environments worldwide. So the smallest hyper flex configuration that we have is, uh it do not configuration, which is primarily used in edge environment. Think of a, you know, a back home in a department store or a oil rig. Or it might even be a smaller data centre, uh, somewhere, uh, on the globe. For these two not configurations. There is always a need for a third entity that, you know, industry term for that is either a witness or an arbitrator. Uh, we had that for hyper flex as well. The problem that customers faces where you host this witness it cannot be on the cluster because it's the job of the witnesses to when the when the infrastructure is going down, it basically breaks, um, sort of upgrade rates. Which note gets to survive, so it needs to be outside of the cluster. But finding infrastructure, uh, to actually host this is a problem, especially in the edge environments where these are resource constrained environment. So what we've done is we've taken that witness. We've converted it into a container reform factor and then qualified a very large a slew of Cisco networking products that we have right from S. R. S R. Texas catalyst, industrial routers, even even a raspberry pi that can host host this witness, eliminating the need for you to find yet another piece of infrastructure or doing any, um, you know, care and feeding of that infrastructure. You can host it on something that already exists in the environment. So those are the three things that we're announcing today. >>So I want to ask you about hyper Flex Express. You know, obviously the whole demand and supply chain is out of whack. Everybody's global supply chain issues are in the news. Everybody's dealing with it. Can you expand on that? A little bit more Can can hyper flex express help customers respond to some of these issues. >>Yeah, indeed. The, uh, you know, the primary motivation for hyper Flex Express was indeed, uh, an idea that, you know, one of the folks around my team had, which was to build a set of hyper flex configurations that are, you know, would have a shorter lead time. But as we were brainstorming, we were actually able to tag on multiple other things and make sure that, you know, there is in it for something in it for customers, for sales as well as our partners. So, for example, you know, for customers, we've been able to dramatically simplify the configuration and the instal for hyper flex express. These are still hypertext configurations, and you would, at the end of it, get a hyper flex cluster. But the part to that cluster is much much simplifying. Second is that we've added in flexibility where you can now deploy these, uh, these are data centre configurations But you can deploy these with or without fabric interconnects, meaning you can deploy it with your existing top of rack. Um, we've also, you know, already attract attractive price point for these. And of course, you know these will have better lead times because we made sure that, you know, we are using components that are that we have clear line of sight from a supply perspective for partner and sales. This is represents a high velocity sales motion, a faster turnaround time, Uh, and a frictionless sales motion for our distributors. Uh, this is actually a settled, risky, friendly configurations, which they would find very easy to stalk and with a quick turnaround time, this would be very attractive for the deceased as well. >>It's interesting many. So I'm looking at some fresh survey data. More than 70% of the customers that were surveyed this GTR survey again mentioned at the top. More than 70% said they had difficulty procuring, uh, server hardware and networking was also a huge problem. So so that's encouraging. What about Manisha AMG that's new for hyper flex? What's that going to give customers that they couldn't get before? >>Yeah, so you know, in the short time that we've had UCS am direct support, we've had several record breaking benchmark results that we've published. So it's a it's a It's a powerful platform with a lot of performance in it and hyper flex. Uh, you know, the differentiator that we've had from Day one is that it is. It has the industry leading storage performance. So with this, we're going to get the fastest compute together with the fastest storage and this we are hoping that will basically unlock, you know, a unprecedented level of performance and efficiency, but also unlock several new workloads that were previously locked out from the hyper converged experience. >>Yeah, cool. Uh, so, Darren, can >>you can you give us >>an idea as to how hyper flexes is doing in the field? >>Sure, Absolutely So both me and my initial been involved right from the start and before it was called Hyper Flex, and we've had a great journey, and it's very excited to see where we're taking where we've been with the technology. So we have over 5000 customers worldwide, and we're currently growing faster year over year than the market. The majority of our customers are repeat buyers, which is always a good sign in terms of coming back when they approved the technology and are comfortable with technology. They repeat by for expanding capacity, putting more workloads on. They're using different use cases on there. And from an energy perspective, more numbers of science so really good. Endorsement the technology. We get used across all verticals or segments, um, to house mission critical applications as well as the traditional virtual server infrastructures. Uh, and we are the lifeblood of our customers around those mission critical customers think one example, and I apologise for the worldwide audience. But this resonates with the American audiences the Super Bowl. So the sofa like stadium that housed the Super Bowl actually has Cisco hyper Flex running all the management services through from the entire stadium for digital signage. Four K video distribution, and it's complete completely cashless. So if that were to break during Super Bowl, that would have been a big, uh, news article, but it was run perfectly. We in the design of the solution, we're able to collapse down nearly 200 servers into a few notes across a few racks and have 100 120 virtual machines running the whole stadium without missing a heartbeat. And that is mission critical for you to run Super Bowl and not be on the front of the press afterwards for the wrong reasons. That's a win for us. So we really are really happy with High Flex where it's going, what it's doing. And some of the use cases were getting involved in very, very excited. >>Come on, Darren. It's Super Bowl NFL. That's a That's international now. And, you know, the NFL >>NFL. It's >>invading London. Of course I see the picture of the real football over your shoulder, But last question for many is give us a little roadmap. What's the future hold for hyper flex? >>Yeah, so you know, as Darren said, both Darren and I have been involved the type of flicks since the beginning, Uh, but I think the best is yet to come. There are three main pillars for for hyper Flex. One is in. The site is central to our strategy. It provides a lot of customer benefit from a single pane of glass management. But we're going to take this beyond the Lifecycle management, which is for hyper flex, which is integrated in winter side today and element management. We're going to take it beyond that and start delivering customer value on the dimensions of a job. Because Interstate really provides us an ideal platform to gather starts from all the clusters across the globe. Do AML and do some predictive analysis with that and return it back as, uh, you know, customer valued, um, actionable insights. So that is one. The second is you'll see us expand the hyper flex portfolio. Go beyond you see us to third party server platforms, and newer, you see a server platforms as well. But the highlight there is one that I'm really really excited about and think that there is a lot of potential in terms of the number of customers we can help is a checks on X CDs. Experience is another thing that we're able to, uh you know, uh, announcing a bunch of capabilities on in this particular launch. But a check sonic series. We'll have that by the end of this calendar year, and that should unlock with the flexibility of X series of hosting a multitude of workloads and the simplicity of hyper flex. We're hoping that would bring a lot of benefits to new workloads, that we're locked out previously. And then the last thing is hyper flex leader platform. This is the heart of the offering today, Uh, and you'll see the hyper flex data platform itself. It's a distributed architecture, unique distributed architecture primarily where we get our, you know, record breaking performance from you'll see it get faster, more scalable, more resilient. And we'll optimise it for, you know, containerised workloads, meaning it will get granular containerised container granular management capabilities and optimised for public. So those are some things that were the team is busy working on, and we should see that come to fruition. I'm hoping that we'll be back at this forum and maybe before the end of the year and talking about some of these new capabilities. >>That's great. Thank you very much for that. Okay, guys, we got to leave it there and you know many She was talking about the HX on X Series. That's huge. Customers are gonna love that, and it's a great transition because in a moment I'll be back with Vikas Ratna and Jim Leach and we're gonna dig into X series. Some real serious engineering went into this platform, and we're gonna explore what it all means. You're watching simplifying hybrid cloud on the cube, your leader in enterprise tech coverage.

>>live from Denver, Colorado. It's the Q covering com vault. Go 2019. Brought to you by combo. >>Welcome to the Cube. Lisa Martin with student A man we're covering Day one of convo go 19 from Colorado. Stew and I are pleased to welcome to the Cube one of combo longtime customers from AstraZeneca. We have Scott 100 global infrastructure surfaces. Director. Hey, Scott. >>Good afternoon. >>Good afternoon. Welcome to the Cube. AstraZeneca is a name that probably a lot of folks know in the bio medical pharmaceutical space. But for those that don't give us an overview of AstraZeneca. What you guys are what you d'oh! >>Obviously we're we're, ah, bio pharmaceutical company with global presence way be used. The primary care takes off. Medicines be sale throughout the world. So everything from Kearney care to tiu oncology onda also are massive. That diabetes franchise, as well as other core core therapies that are used by our patients, were like, >>All right, So, Scott, maybe bring us inside. What is data mean to your organization? >>And it means loss. Lots of things taxes and cut through our organization from go boat framed in that next molecules to discover them bleeding edge medicines for our patients all the way to have our sales People commercial use data to identify the patients for further rate kid as well and ofcourse, backoffice tree I t enabling functions like each HR and finances. Well, therefore, is this apartment for business >>you've got Global infrastructure service could just lay out a little bit what that entails and how data fits into the picture, what's in your purview and what you have to work with other groups on. >>So my idea looks after architecture, designing governance and for cyber security infrastructure, savage seas, AstraZeneca. So So we be like after within either on premise within their own try our own data centers are in the public load as well. So as you can imagine, their movement on Deron realms and that can environment is pivotal to the coming been successful go forward >>when every time we, you know, you talk about data being the life blood of an organization or the new oil when we're talking about a patient information and the information that could be used to find the next, you know, cure for a particular disease, this it's this is literally life and death data on the ability to have access to it, but also to make sure that it's protected and secure table stakes. Right, so talk to us about when you came on board, he said. Around six years ago, before we went live knowing how critical data is toe AstraZeneca's business, What was the data strategy like a few years ago? >>It was pretty convoluted six years ago when am I fought during the actual Danica over largely exhaust to various companies? So their strategy basically that have one. We don't really have much of a strategy for looking after our deal with five or six different backup products, but then the cinnamon on lane their storage products is now. So over the last 56 years, can stealing that down to one key data storage provider in the APP and also for backup from the store combo. We do still have some leg. It's a very fast environments, but they're being decommissioned. That moved over combo. I speak >>from a what can I t. An initial initiative perspective. A few years ago, six years ago, we didn't have a date, a strategy. What was some of the you know from the top, down from the C suite down, maybe from the board down saying, Hey, guys, we have to get our hands around. I mean, this is before GDP are But in terms of the opportunities that I provided the company, where did that initiative come from? And a new year old come about now. But you guys want a couple of different routes, Talk to us a little bit about that initiative and the initial directions to where you are now. >>Yes, O. R. Xia Old Smalley obviously had a vision for how the country is going to progress. Set sail in his tenure on a massive pile that was understanding with our data waas how it was used on but most importantly have it was protected as well. And so that kind of drove the insertion from likes of HCL Congress and emphasis into looking after our own environment. You can, after our own idea for choosing strategies as well, so that organically company could grow based on best directions for using that there that we could meet from what we had the radio through collaboration with other bio farmers is a game just for the greater good of fame than that. That next medical molecules to help proficient. All right, >>Scott, have you been toe the combo Cho shows before? >>Second thing second time. Tell us a >>little >>bit about you know what brings you to the show? A lot of announcements here. Anything jump out so far? >>Yeah, it is interesting to see some of the new collaborations are Sorry. Party sees it comes I'll be making over the last little well Hedvig acquisition looks looks breaks on the metallic venture that, doomed for public sass is, well, looks like equals x, a n and ammunition and came environments that convo play on. So I think things to very good moves. >>So you're leveraging Public Cloud. How does Khan Vault fit into that? You're to be used babies >>convoked for for M backing up on restoring and our public load environments. Whether we need a B s robotics, start watching in the jury's there with You're in the club zero stack as well. And then we're in the process of bringing on lane production environments and Google Cloud Platform zone. So having that one back up in the store strategies pivotal Isabella's enabling us to move our day off using visibility solution to get calm. Boulders now, which is very powerful, is >>one of the things I noticed when I watched the video that combo has done with you. And they actually shared a quote from you during the keynote before Actually, before everyone walked. It is, you said this constant evolution that come about is delivering was one of the things that that you really like. From a business perspective, Combo has done a lot of evolving in the last nine months with the new leadership. It's too. And you were talking about some of the new technology, some of the new announcements from that evolutionary perspective and what you guys like about it. What are you seeing in terms of them going forward? Are you saying hey, there really listening? They're looking at use cases like ours, learning from it to not only make the technology is better, but to expand their portfolio. >>I mean, for a lot of it's based in the constant evolution of the FBI's that convo used for access and videos need parts. Technology will be backing up of the M two, backing up kubernetes containers and using that in the Secret Service's environment is Val to Tolliver's to ensure that whatever it comes to get from Lourdes cannot feel like several. It's computing environments that don't understand what what they put watch. So we can either reuse it, destroy, are used different manner, so that for us, that's great. Because obviously for our own C A c d pay planes, they're all FBI driven on to be able to use a convert production. The same kind of fashion is >>so, Scott, do you keep up on the quarterly cadence that combo doing and is there anything, uh, kind of either on the road map for things that you're asking for that would make your environment even better? >>And we're kind of used the 90 day cadences for ourselves to ensure that our own strategies are kept in check and we could take advantage off in your aunties are coming not only from convo but for other parts of our the infrastructure really be now for our only storage or a video. Various other providers that be used for insurance are dead as a decibel and used in a proper fashion. I >>want to get into a little bit of the use case, I knew that you had a number of different competing backup solutions in place. Did you start from a data started perspective, like within one division or one part of the company to maybe pilot, because you ended up with a whole bunch of different software solutions in there. Now you standardize on combo, walk us through that process, those decisions and what you're getting by having this now single pane of less >>some of the populated back up in the store sprawl was caused by individual parts of his had been able to do a little thing having little ineighty budget. So give it up. Some parts of business want to use a backup from Veritas or the emcee products that were in play at the time when we source between IBM and HDL chores each pdp for a pre media centers. So I decided another another backup restore productive in the mix. So for us, it just became untenable when we started insourcing, you know, to build a support team support organization to work after that many technologies was pretty difficult hands by way to go for 11 stop strategy. >>You said in the video. That combo had a pretty significantly higher success rate compared to some of the other solutions, so that must have made it a no brainer. >>So our backup critical applications is 99.8% successful to stay on, and that's that. That's what come won't get themselves. So that was a great comfort on the series. Is more and more of our applications move over on the convo platform, then have ah more wrong deeds approached, You know, backup success, but success in the store and say the things as well as Bella's, you know, using the analytics on a more timely fashion again for for drug and manufacturing research. >>So I know that you guys looked at our sorry spoke with a number of combat customers before you made this decision. And now here you are, on the other side of the coin, talking to a lot of combo customers. What advice would you give companies in any industry who in almost 2020 may not have a really robust data strategy? Your recommendations >>should look it over, not just our backup in the store solution. You know, the could base, which has put together for involves very powerful from the beta index. Ease with information going through construe the product to you can use out for things like D. R H A and also immigration off records. Two different defense centers are different parts of public low dreamer, you know, And the new new vision that I have for the analytics is very powerful as well. Forget the name of this tour today that someone that, you know, maybe we've started to use ourselves in a big way. We've got a little science team within my operation, which is made in that they are not coming, that they're more efficient manner. Feed that into our. Praised the architecture so that they could take advantage of what? Worried they got their own confines and makes out with what they need to do for for new discoveries. >>Scott, thank you for joining. Stewing me on the cube today, sharing with us what you're doing at AstraZeneca and looking forward to hearing the next molecule that discovers some great breakthrough. >>Thank you. >>First to Minutemen. I'm Lisa Martin. You're watching the cue from combo go 19

>> 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?