 Hi everybody, my name is Dave Vellante and welcome to the special CUBE community event. You know, customers are on a digital journey. They're trying to transform themselves into a digital business. What's the difference between a business and a digital business? Well, we think it's the way in which they use data. So we're here with a company in Finidad who's all about using data at multi-pedabyte scale. We have news, we have announcements, we're going to drill down with subject matter experts and we're going to start with Brian Carmody who's the chief technology officer of Infinidad. Brian, it's good to see you again. Good to see you too, Dave. And I can't believe it's been a year. It has been a year. And since we last sat down, if you had to summarize, Brian, the last 12 months in one word, what would it be? How about two words, insane growth. Insane growth, okay. Yes. Talk about that. Yeah, so as of this morning at least, Infinidad has a hair over 4.6 exabytes of customer data under management, which is just insanely cool. And I'm not sure if I counted all of the zeros properly, but it looks like it's around 180 trillion IO's served to happy customers so far as of this morning. So mind-boggling numbers. So let me ask you a question. Are these, is this growth coming from sort of traditional workloads? Is it new workloads? Is it a mix? Oh, that's a great question. So, you know, early in the Infinidad ramp, our early traction was with, you know, core banking and transaction processing applications. It was all about consolidation and, you know, replacing rows of V-maxes with a single floor tile of Infinibox. But in the past year, virtually all of our growth has been an expansion outside of that core. And it's a movement into greenfield applications. So basically, obviously, you know, our customers are going into hardcore digital transformation. And this kind of changes the types of workloads that we're looking at and that we're supporting. But it also changes the value proposition. Consolidation and stuff like that is all about the bottom line. It's about making storage more efficient. But once we get into the digital transformation in these greenfield applications, which is where most of our new growth is, it's actually all about using your digital infrastructure as a revenue-generating machine for opening up new markets, new opportunities, new applications, et cetera. So when people talk about cloud-native, that would be an example, using cloud-native tool chains, that's what's happening on your systems. Is that correct? Yeah, absolutely. And I can give you some examples. Recently, I spent a day with a group of engineers that are working with autonomous vehicle sensor data. So this is telemetry coming off of self-driving cars. And they're working with these ridiculously large, like multi-petabyte data sets. And the purpose of this system is to make the vehicles more smarter and more resistance to collisions and ultimately more safe. A little bit before that, me and a bunch of other people from the team spent a day with another partner. They're also working with sensor data, but they're doing biometrics off of wearables. So they've perfected an algorithm that can in real time detect a heart attack from your pulse. And will immediately dispatch an ambulance to your geolocation of where hopefully your arm is still connected to your body. And immediately send your electronic medical health records to that nearest hospital. And only then do you get a video call on your phone from a doctor who says, hey, are you sitting down? You're gonna be fine. You're having a heart attack. And an ambulance is gonna be there in two minutes. And the whole purpose of this is just to shave precious minutes off of that critical period of getting a person who's having a heart attack to get them the medical care they need. I'd say that's a non-traditional workload and the impact is saving lives. That's awesome. Now, let's talk a little bit about sort of your journey. Our friends at Gartner, they do these magic quadrants. A lot of people don't like them. I happen to think they're quite useful as a guidepost. You guys have always been strong on the sort of vision and you've been executing. Where are you today in that quadrant? Yeah, so it's an extreme honor. We, Gartner, elevated us into the leaders quadrant last year. So customers take that very, very seriously and the ability to execute access is, what Gartner says, it's, are you influencing the market? And are you causing the incumbents to change their strategies? And with our disruptive pricing, with our reliability guarantees, our SLAs and stuff like that, Gartner felt like we met the criteria and it's just, it's a huge honor. And we absolutely have our customers to thank for that because the magic quadrant isn't about what you tell Gartner, it's about what your customers tell Gartner. So we're very thankful for that. And I know the peer insight, you guys have done very well on that also. I want you to talk about the team. You're growing and to grow, you got to bring on good people. You've added some folks, talk about that a little bit. Yeah, yeah. Well, speaking of Gartner, we got Stan Zafos who recently joined. He's going to be running product marketing for us, working with Doc. So, you know, he's a legend in the industry. So we're delighted to have him on board. Also, Stiney came over from Pure to join us as our field CTO, another legend who needs no introduction. So really, really happy about that. But also it's not just, those are guys that customers see, but we're also experiencing this on the engineering side. So we, for example, we recently were very amused to realize that there are now more EMC fellows working at Infinidat, if you count Moshe, more EMC fellows working at Infinidat than working at Dell EMC, which is just a humorous kind of funny thing. So, as the business has grown and has gotten momentum, you know, just like we're continuously amazed by the creativity and the things our customers are doing with data, every day I am continuously amazed and humbled by the caliber of people that I get to work with every day. So we're really, really happy about that. All right, well thank you for the recap of the past year. Let's get into sort of some of the announcements today. And I want to talk about vision. So you have this Infinidat elastic data fabric. I'm interested in what that is, but I'm also frankly even more interested in why. What's the why behind that? Sure, sure. So elastic data fabric is Infinidat's roadmap and our shared vision with customers for the future of enterprise storage. And the why is because customers demanded it. If we kind of look at, you know, kind of what's happening in the industry and the way that real customers are dealing with data right now, they have some of their data and some of their workloads are running in across public cloud. Some of them are in managed service providers, some of them are SASSs and then they have on-premises storage arrays. And elastic data fabric is Infinidat solution that glues all of that together. It turns it into a single platform that spans on-premises, Kolo, Infinidat-powered managed service providers, Google, Amazon and Azure, and it glues it into a single platform for running workloads. So, you know, over the course of these presentations, we're gonna drill down into some of the enabling technologies that make this possible, but the net net is that it is a brand new next generation data plane for, let's say for example, within a customer data center. It allows customers to cluster multiple infinite boxes together into what we call availability zones and then manage that as a single entity. And that scales from a petabyte up to an exabyte of capacity per data center. And typically a customer would have one availability zone per data center and then one availability zone that can span multiple clouds. So, that's the data plane. The control plane is the ability to manage all of this no matter where the data lives, no matter where the workload is or needs to be and to manage it with a single pane of glass. And those are the kind of pieces of enabling technology that we're gonna unpack in the technical sessions. Two questions on that. Sure. So, you have the data plane and the control plane. If I want to plug in to some other control plane, a VMware control plane, for instance, your API based architecture allows me to do that, is that? Oh yeah, it's application aware. So, for instance, if you're running a VMware environment or if you're running a Kubernetes environment, it seamlessly integrates into that and you manage it from a single API endpoint and it's elastic, it scales up and down and it's infinite and immortal. And probably the biggest problem that this solves for customers is it makes data migrations obsolete. It gives us the ability to decouple the data lifecycle from the hardware refresh lifecycle which is a game changer for customers. I think you just answered my second question, which what makes this unique and that's at least one aspect of it. Yeah, I mean that's the data migrations are the bane of customers existence. And the larger the customer is, the more filer and erase sprawl they have, the more of a data migration headache they have. So, when we kicked this project off five years ago, our call to action, the first, the kernel of an idea that became elastic data fabric was find a way to make it so that the next generation of infrastructure engineers that are graduated from college right now will never know what a data migration is, to make it a story that old men in our industry talk about. Well, that's huge because it is the bane of customers existence. It's very expensive, minimum $50,000 per migration in many, many months. Brian, thanks so much for kicking this off. We have a lot of ground to cover and so we're going to get into it now. We're going to get into the news. We're going to double click on some of the technologies and architectures. We're going to hear from customers and then it's your turn. We're going to jump into the crowd chat and hear from you. So keep it right there. We'll be right back right after this short break. We're back with Dr. Rico, the CMO of Infinity. We're going to talk about agility and manageability. Good to see you, doc. Good to see you again, Dave. All right, let's start in reverse order. Let's start with the manageability. What's your story there? Sure, I'm happy to do that. Dave, we get great feedback from our customers on how simple and easy our systems are to manage. We have products like Infinimetrix, which give them a lot of insights into the system. We have APIs, very simple and easy to use. But our customers keep asking for more insights into their environment, leveraging the analytics that we already do. Now, you've also heard just now about our elastic data fabric, which is our vision, Infinidat's vision for the data center, not just of today, but into the future. And our first instantiation of that vision and answering those customer responses is a new cloud-based platform, initially to provide some better monitoring and analytics, but then your window into data migrations, auto provisioning, storage availability zones, and really your whole customer experience with Infinidat. So my understanding is this is a SaaS solution? Is that correct? It is, it's a secure multi-site solution. So in other words, all of your Infinidat systems, wherever they are around the world, all visible through a single pane of glass. But the cloud-based system gives us a lot of great power too. It gives us the agility to provide faster development and rapid enhancement based on feedback and feature requests. It also then provides you customizable dashboards in your system, dashboards that we can create very rapidly, giving you advisors and insights into a variety of different things. And we have lots of customers who are already engaged in using this. So I'm interested in this, advisors and insights. My understanding is you guys got a data lake in the back end, you're mining that data, performing analytics on it. What kinds of benefits do customers get out of that? Well, they can search into things like abandoned volumes within their system, tracking the growth of their storage environment, configuration errors like asymmetric sports and paths or even just performance behaviors like abnormal latencies are banned with patterns. So we say abandoned volumes. Talking about like reclaiming wasted space. Absolutely. To be able to reuse it. I mean, people in the old days have done that as a log structure file and they had to do it for performance, but you're doing it to give back money to the customers, is that right? It's exactly right. You know, customers very often get requests from business units to spin up additional volume sets for whether it be a test environment or some special application that they're running for some period of time. And then when they do, when they spin down the environment, they sometimes leave the data set there thinking that they might need it again and then not do this in future. And then it just sort of dies on the vine. It sits there taking up space and it's never used again. So we can give them insights into when the last time things were accessed, how often it's accessed, what the IO patterns are, how many copies there might be with snapshots and things like that. You mentioned strong customer feedback. Everybody says they get great customer feedback but you've been with a lot of companies. How is this different? And what specifically is that feedback? Yeah, the analytics and insights are very unique. This is exactly what customers have been asking for from other vendors. Nobody does it. You know, we're hearing such great stories about the impact on their costs like the capacity utilization, reclaiming all that abandon capacity and being able to put new workloads and grow their environment without having to pay any additional costs is exciting to them. Identifying correcting configuration issues, getting ahead of performance problems before they occur. Our customers are already saving time and money by leveraging this in our environment. All right, let's pivot to agility. You got Flex, what's your story there? What is Flex? Well, Dave, you know, imagine a world if you will, if you didn't have to worry about hardware anymore, right? It sounds like a science fiction story, but it's not. Sounds like cloud. It sounds like cloud. And people have been migrating to the cloud. And in the public cloud environment, we have a solution that we talked to about a year ago called Nutrix Cloud, providing a sovereign based storage solution so that you can get the resilience and the performance of Infinibox or Infiniguard in your system today. But people want that experience on-premises. So for the on-premise experience, we're announcing Infinibox Flex and Infiniguard Flex, an environment where you don't have to worry about the hardware. You manage your data, we'll manage the hardware. And you get to pay for what you use as you need it. You can scale up and down. We'll guarantee the availability, 100% availability. And with this environment, you get free hardware for life. Okay, a lot of questions. So this sounds like you're on-prem cloud, right? You're bringing that cloud experience to the data wherever it lives. You say I can scale up and scale down. How does that work? You're over provisioning or, and you're not charging me for what I don't use? Can you give us some details then? Well, just like with an Infinibox, we're going to try to provide the customer with the Infinibox that they need, not just for today, but for tomorrow. We're going to work with the customer to look into the future and try to determine what are their performance requirements and capacity requirements over time. The customer will have the ability to manage the data configuration and the allocation of the storage and add or remove storage as they need it. As they need it, as they scale up and we'll build them based on a daily average, just like the cloud experience. And as they reduce, same thing, it will adjust the daily average and it'll get billed accordingly. So I'll write the customer, make some minimum commitment. Yes. And then if they go over that, you'll charge them for it. If they don't, then you won't charge them for it. Is that correct? If they go over it, we'll charge them for the period that they go over. If they continue to use it forever, we'll charge them that. If they reduce it back, then we'll charge them the reduced amount. So that gives them the flexibility there and the agility. Okay, 100% availability. What's behind that? We have a seven nines reliability metric that we managed to on a day-to-day basis. We have customers who've been running systems for years without any noticeable downtime. And when you have seven nines, that's 3.16 seconds of availability per year, right? The life cycle of an IO timeout is much longer than that. So effectively from the customer's application perspective, it's 100% available. We're willing to put our money where our mouth is. So if you experience downtime that's caused by our system at any time during that monthly period, you get the next month for free, for the entire capacity. Okay, so that's a guarantee that you're making. That's a guarantee. Okay, read the fine print, but it sounds like the fine print is just what you said. It's pretty straightforward. Free hardware for life, free like a puppy? No, free like in free. Free meaning you're paying for the service. We're providing the capacity for you to put your data and every three years, we will refresh that entire system with new hardware. And as the minimum is three years, if you prefer because of your business practices to change that cycle, we'll work with you to find the time that makes the most sense. So I can do four years or five years if I want to. You can do four years or five years. You can do three years and three months and you'll get the latest and greatest hardware. We'll also, by the way, provide the data migration services which is part of this cloud vision. So you're not going to have to do any of the work. You're not going to have to pay for additional capital expense so that you have two sets of hardware on the floor for six months to a year while you do migration and work it in your schedules. We'll do that entire thing transparently for you in your environment and completely non-disruptive to you. So you guys are all about petabyte scale, hard enterprise problems. This isn't a mom and pop sort of small business solution. Where do you see this playing? Obviously, service providers are going to eat this stuff up or give us some... Yeah, you know, service providers is a great opportunity for this. It's also a wonderful opportunity for Infiniverse. But any large-scale environment, this should be a shoe-in. And you know what? Even if you're in a small-scale environment that has a need where you want to maintain that environment on-premises, you're small-scale, you want to take advantage of your data more, you know you're going to grow your environment, but you're not quite sure how you're going to do it or you have these sporadic workloads. Perhaps, you know, in the finance industry, you know, we're in tax season right now. Taxes just ended, you know, half a month ago, right? There are plenty of businesses who need additional capacity for maybe four months of the year. So they can scale up for those four months and then scale back down. Okay, give us the bottom line on the customer impact. So the customer impact is really all about greater agility, the ability to provide that capacity in a flexible model without big impact. To their overall budget over the course of the year. All right, Doc, thank you very much. Appreciate your time and the insight. It's my pleasure, Dave. All right, let's hear from the customer and we'll be right back right after this short break. Michael Gray is here. He's the Chief Technology Officer of Boston-based Thrive. Michael, good to see you. Thanks for coming on. Hey, glad to be here. So tell us about Thrive. What are you guys all about? You know, Thrive started almost 20 years ago as a traditional managed service provider, but really in the past four to five years, transformed into a next-generation managed service provider. Primarily now we're focusing on cybersecurity, cloud hosting, and public cloud hosting as well as disaster recovery. To me, and this is something that's primary to Thrive's focus is application enablement. We're an application enablement company. So if your application is best run in Azure, then we want to put it there. A lot of times we'll find that just due to business problems or legacy technologies, we have to build private clouds or even for security reasons. We want to build private cloud, or purely just because we're running into a lot of public cloud refugees. You know, they didn't realize a lot of the maybe incidental fees along the way actually climbed up to be a fairly big budget number. So, you know, we want to really look at people's applications and enable them to be highly high performance, but also highly secure. So I'm curious as to when you brought in Infinidat, what the business impact was economically. There's other sort of non TCO factors that I want to explore. So was it the labor cost that got reduced? Did you redeploy those resources? Was it actually the hardware? First and foremost, and you know, this is going back many years, but and I think I would say this is true for any data center cloud provider. The minute the phone rings and someone says my storage is slow, we're losing money, okay? Because we've had to pick up the phone and someone needs to address that. We have eliminated all storage performance help desk issues. It's now one thing I don't need to think about anymore. We have, we know that we can rely on our performance and we know we don't need to worry about that on a day to day basis. And that is not in question. Now the other thing is really as we started to expand our Infinidat footprint geographically, we suddenly started to realize not only do we have this great foundation built, but we can leverage and invest when we made to do things that we couldn't do before. Maybe we could do them, but they required another piece of technology. Maybe we could do them or they required some more licensing, something like that. But really when we started this standardization, we did it for operational efficiency reasons and then suddenly realized that we had other opportunities here and I have to hand it to Infinidat. They're actually the ones that helped us craft this story. Not only is this just a solid foundation, but it's something you can build on top of. Has that been your experience if it's sort of reduced or eliminated traditional storage bottlenecks? Oh, absolutely. And you know, I mentioned before that this is, storage performance is now becoming afterthought to me. You know, and a little bit the way we look at our storage platform is we, from a performance standpoint, not a capacity standpoint, we can throw whatever we want at the Infinidat and sort of the running joke internally is it will just smile and say, is that all you got? Do you mean like mixed workloads or you don't have to sort of tune each array for a particular workload? Yeah, yeah, and you know, I can imagine as someone that might be listening to what I'm saying, well, hey, come on, you know, they can't really be that good. And I'm telling you from seeing it day to day, again, you can just throw the workloads at it and it will do what it says it does. You don't see that every day. Now, as far as capacity goes, you know, there's this capacity on demand model which, you know, we're a huge fan of. They also have some other models, the flex model, which is very useful for budgeting purposes. What I will tell you is you have to sacrifice at least one floor tile for an Infinidat. It's very off-putting at first on day one. And I remember my reaction, but again, as I was saying earlier, when you start peeling back the pieces of the technology and why these things are and the different flexibility on the financial side, you realize this actually isn't a downside, it's an upside. We're going to talk performance with Craig Hebert, who's vice president in Infinidat. He focuses on strategic accounts. Craig, thanks for coming on. Thanks for having me. All right, so let's talk performance. Everybody talks about performance. They have their benchmarking. Everybody's throwing flash at the problem. You guys, you use flash, but you didn't hop on that all flash bandwagon. Why and how are you different? It's a great question. We get a lot with our customers. So we innovated. We spent over five years looking at the big picture, what the box would need today. What it would need in the future. And how would we arrive there by doing it economically? And so as you said, we use a small amount of flash that's a small percentage, two, three, four percent of the total box. But we do it by having a foundation that nobody else has. Instead of throwing hardware at the solution, we have some special mechanisms that nobody else has. We have a try, where it's a multi-value structure that allows us to dynamically trace and track all the IOs that come into the box. We ship intelligence. Everybody else ships dumb blocks of data. And so their only course of action to adopt new strategies is to bolt on the latest and greatest media. I've had a lot of experience at other companies where they have tried to shoehorn in new techniques, whether it be a NAS blade into an existing storage box or whether it be thin provisioning after the fact. And things that are done sort of like after the design is done never pan out very well. And the beauty with Infinibox is that all our protocols work the same way. I SCSI NAS block it. It is all structured the same way. And that makes performance equal over all those protocols. And it makes it all so easy to manage via the same API structure. So you're claiming that you can get equivalent or better performance with a combination of flash and spinning disk than your competitors who are all flash. Can you kind of add some color to that? Absolutely. So we use DRAM. All of our writes are ingested into the box through DRAM. We have 130 micro-second latency, which is actually the lowest speed that fiber channel can attain. And so we're able to do things very, very quickly. It's 800 times faster than NAND, which is what our competitors are using. We have no RAID structure on the SSD at all. So as things flow out of DRAM and go on to the SSD, our SSD is faster than everybody else's, even though we use the same. So there's a mechanism there that we optimize. We write in large sequential blocks to the SSD. So the wear rate isn't the same as what our competitors are using. So everything we do is with an optimization, both for the present data and also the recall. And one of the things that culminates in a massive success for us, how we have those three tiers of data, but how we're able to outperform all flash arrays, is that we do something, we hold data in cache for a massive amount of time. The average write latency in something like a VMAX is about 13 seconds, the maximum is 28. We hold things for an astounding five minutes. And what that allows us to do is put profiles around thing and remove randomness. Randomness is something that's plagued data storage vendors for years, whether it's random writes or random reads. If you can remove that randomness, then you can write out to what are the slowest spinning disks out there, the near-line SAS drives, but they're the fastest disks for sequential read. So if everything you write out is sequential, you can use the lowest cost disks, the near-line SAS disks, and maximize the performance. And it's that technology, it's that those patterns, 138 pounds, that allow us to do all of these steps in the process, which augment our ability to serve the customer's data at a vastly reduced price. So your secret sauce is architecture intelligence, as you call it, and then you're able to provide lower cost media. And of course, if flash were lower cost, you'd be able to use that. There's no reason that you couldn't. Is that correct? We could, but we wouldn't gain anything from it. A lot of customers say to us, why aren't you using more flash? Why don't you build an all-flash array? Why don't you use MVME? And we are actually the next version of the software worship MVME capable as well as storage class memory. Why we don't do it is because we don't need it. Customers have often said to us, why don't you use 16 gig fiber channel or 32? And we haven't made that move because we don't move bottlenecks. We give customers a solution, which is an end-to-end appliance. And so when we refresh the software stack, and we change the config with that, we make sure that the fiber channel is upgraded, we make sure that the throughput, the infinite band, everything comes with an uplift. So there's not just one single area of bottleneck. We could use more SSD, but it would just be more money and we wouldn't be able to give you any more performance than we are today. So you have some hard news today. Tell us about that. Yeah, I will. So we are a software company. And going back to the gem one, I was here on day one when we started selling in the United States. When the first box was released, it was 300,000 IELTS. Moshe said he wanted a million IELTS without changing the platform. We got up to about 900,000. That's a massive increase by just software tweaks. And so what we do is once the product has gone through its second year, we go back and we optimize and we reevaluate, which is what we did in the fall of 2018. And we were able to give a 30% uplift to our existing customers just with software tweaks in that area. So now we move to another config where we will introduce the 16, the 32 gig fiber channel cards, MVME over fabric and storage class memory and all those things that are up and coming. But we don't need to utilize those until the price point drops. Right now, if we did that, we'd just be like everybody else and we'd be driving up the price point. We're making the box ready to adapt those when the price point becomes accessible to our customers. Okay, last question. You spent a lot of time with strategic accounts, financial services, healthcare, insurance. What are some of the most pressing problems that you're hearing from them that you guys are helping them solve? That's a great question. So we see people with sprawl managing many, many arrays. One of our competitors, for instance, for Splunk, they'll give you one array with one interface for the hot indexes, another mid-tier array with another interface for the warm indexes. Yeah, and then they'll give you a bunch of cold now storage on the back end with another disparate interface. All three of them are managed separately and you can't even control them from the same API. So what customers like about us, and just Splunk is just one example, so we come in with one 19 inch array in one rack. The hot indexes are handled by the DRAM, the warm indexes are handled by the SSD and the cold data's right there on the Neo Ancestris. So they see from us this powerful all-encompassing solution that's better, faster, and cheaper. We sell on real, not effective. And so when encryption and things like this get turned on, the price point doesn't go up with infinite customers. They already know what they're buying. Everything else is just cream and it's massive for economical reasons as well as technological reasons. Excellent, Craig, thank you. Thanks so much for having me. Okay, keep it right there, everybody. We'll be right back, right after this short break. We're back with Ken Steinhardt, who's a field CTO in Infinidat. Ken, good to see you again. Great to see you, Dave. It's been a long while. It sure has. Thanks for coming back on theCUBE here. So you have the customer perspective. You work with a lot of customers. You've been a customer. Availability, high availability, obviously important, especially in the context of storage. What's Infinidat's story there? Well, high availability's been a cornerstone for Infinidat, obviously, from the beginning, and it's really driven some pretty amazing things, not the least of which has been seven nines of availability proven by the product. What's new and different now is we are extending that with the ability to do active, active clustering, and it's the real deal. We're talking about the ability to have the exact same volume now at synchronous distances, presenting itself to both sites as if it were just a single volume. Now, this is technology that's based upon the existing synchronous replication and Infinisnap technology that Infinidat has already had, and this is gonna provide always on continuous operation, even able to be resilient against site failures, component failures, storage failures, server failures, whatever, to be able to provide true zero RPO and true zero RTO at distance. And it's able to provide the ability to provide consistency also by using a very lightweight witness, which presents itself as a third, completely separate fault domain, to be able to see both sites to ensure the integrity of information while being able to read and write simultaneously two sites to what logically looks like one single volume. This is gonna be supported with all the major cluster software and server environments, and it's incredibly easy to deploy. So that's really the first point associated with this. So let me follow up on that. So a lot of people talk about active, active, a lot of companies. How is this specifically different? It's different in that it is going to be able to now change the economics first and foremost. Up until now, typically people have had to trade off between RPO, RTO, and cost. And usually you can get two of the three to be positive, but not all three. It's sort of like if you buy a car. RPO equates to the quality of the solution, RTO equates to the speed or time, cost is cost. If you buy a car, if it's good and it's fast, it won't be cheap. If it's good and it's cheap, it won't be fast. And if it's fast and it's cheap, it won't be good. So we're able to break that paradigm for the first time here, and we're going to be able to now take the economics of multi-site disaster tolerant cluster type solutions and do it at costs that are probably comparable to what most people would do for just a single site implementation. And your secret sauce there is the architecture, it's the software behind it. Oh, well, it's actually, it's a key point. The software is standard and included and it's all about the software. This is an extension of the existing synchronous replication technology that Infinidat has had. Standard and included, no additional costs, no separate quirky gateways or anything, being able to now have one single volume logically presented to two different sites in real time, continuously for high availability. So what's the customer impact? The customer impact is continuous operation at economics that are comparable to what single site solutions have typically look like. And that's just going to be huge. We see this as possibly bringing multi-site disaster tolerance and active, active clustering to people that have never been able to afford it or didn't think they could afford it previously. That really brings us to the third part of this. The last piece is that when you take an architecture such as Infinidat with Infinibox that has been able to demonstrate seven nines of availability and now you can couple that across at distance, in synchronous distances to two data centers or two completely different sites, we are now able to offer a 100% uptime guarantee, something that statistically hasn't really been particularly practical in the past for a vendor to talk about, but we're now able to do it because of the technology that this architecture affords our customers. So guarantee as in when I read the fine print, what does it say? Obviously we'll give the opportunity for our customers to read the fine print, but basically it's saying that we're going to stand behind this product relative to its ability to deliver for them. And obviously this is something customers we think are going to be very, very excited about. Kent, thanks so much for coming on theCUBE. Appreciate it. Pleasure is mine, Dave is always. Great to see you. Great to see you. Okay, thank you for watching Keeper right there. We'll be right back right after this short break. Okay, we're back for the wrap up with Brian Carmody. Brian, let's geek out a little bit. You guys are technologists. Let's start with the software tech that we heard about today. What are the takeaways? Sure, so there's a huge amount of content in here and software is most of it. So we have first is R5. This is the latest software release for Infinibox. It improves performance and improves availability with Active Active, and it introduces non-disruptive data mobility, which is a game changer for customers for manageability and agility. Also as part of that, we have the availability of Infiniverse, which is our cloud-based analytics and monitoring platform for Infinidad products. But it's also the next generation control plan that we're building. And when we talk about a roadmap, it's gonna grow into a lot more than it is today. So it's a very strategic product for us. But yeah, that's the net net on software. Okay, so but the software has to run on some underlying hardware. So what are the innovations there? Yeah, so I'm not sure about called innovations. I mean, in our model, hardware is boring and commoditized and really all the important stuff happens in software. But we have listened, customers have asked us for and we are delivering 16 gigabit fiber channel as a standard option. And we're also giving a option for 32 gig fiber channel and for 25 gig ethernet, 25 gig ethernet, which is again, things that customers are asking for and we've delivered. And also while we're on the topic of protocols and stuff like that, we're also demonstrating our NVME over fabrics implementation, which is deployed with select customers right now. It is the world's fastest NVME over fabrics implementation. It is a round trip latency of 52 microseconds, which is half the time round trip for us is half the time that it takes a Dan Flash cell to recall its data, forgetting about the software stack of the round trip. That's gonna be available in the future for all of our customers, general availability via a software only update. That's incredible. All right, so net out what that means for the roadmap. Oh sure, so basically with our roadmap is we're laying out a very ambitious vision for the next 18 months of how to give customers ultimately what they are screaming for, which is help us evolve our on-premises storage from old school storage arrays and turn them into elastic data center scale clouds in my own data centers and then come up and then give us an easy seamless way to integrate that into our public cloud and our off-premises technologies. And that's where we're gonna be starting today and taking us out for the next 18 months. Well, we covered a lot of ground today. Pretty remarkable. Congratulations on the announcements. We covered all the abilities, even performance ability. I'll throw that one in there. So thank you for that. Final word. The final word is probably just a message to our customers to say thank you and for trusting us with your data. We take that covenant very seriously and we hope that you, with all of this work that we've done that you feel we're delivering on us, delivering on our promise of value to help them enable competitive advantage and do it at multi-petabyte scale. Great. All right. Thank you, Brian. And thank you. Now it's your turn. Hop into the crowd chat. We've got some questions for you. You can ask questions of the experts that are on the call. Thanks everybody for watching. This is Dave Vellante, signing out from theCUBE.