>> Live from San Francisco, it's theCUBE, covering Google Cloud Next '19. Brought you you by Google Cloud and its ecosystem partners. >> Welcome back to theCUBE coverage here live in San Francisco for Google Cloud Next 2019, I'm John Furrier, my co-host Dave Vellante is also here, doing interviews out, getting stories and reporting them. Got two great guests Pravin Pillai who's the Global Head of Industry Solutions for Retail at Google Cloud and Rickard Söderberg who is the Digital Workspace Manager at GANT, thanks for coming on theCUBE apreciate it! >> Thank you for having us. >> So we have been talking about, talk about security you know the devices now can have a key inside the Android device. We're a big G Suite user, productivity's really important but the IT world has changed, so how is that all coming together what's the big story? >> Retail's an incredibly important sector for us and G Suite is a very important product suite for retailers we're seeing a lot of adoption of G Suite from different kinds of retailers around the world, they're coming to us to solve some very specific challenges they face, they want to reduce or eliminate the information silos they have in their organization, they want to be able to foster an improved communication and collaboration within the organization, and they want to get rid innovation processes they have in the organization so, we're very excited to see the adoption that we have with retailers coming onto G Suite. >> And the retail obviously there's a lot of dynamics going, it's very data driven, huge opportunity. What's your story, what's your relationship with Google? You guys a customer, what's your implementation? >> Well we have been using G Suite for quite some time, we have been using it since 2010 I think, from the beginning it was more of a consumer product back then when we started using it. Today it's really enterprise friendly and we can use it in all aspects of our business, especially out to retail as well. >> It's interesting to see how the cloud is kind of changing shape of G Suite like there's the connected sheets it's interesting you now have big query on the back end, turn that basic interface into a full on global scale data warehouse, this is kind of the story here this week, is to get more power to the edge, whether it's retail or, and not compromise any of the productivity suite. >> Absolutely, there's so much data in the retail organization today and with G Suite we're able to bring access to that data and insights right down to every single worker within the organization, whether they're in the headquarters or whether they're in the store. For example a store associate now has access to insights about the consumer that they can use to proactively service that consumer a lot better than they could have in the past, and that's where G Suite is starting to shine now for retailers. >> So retail obviously is an industry with a heavy disruption scenario. You mentioned some of the challenges, data silos and you want to put data at the heart of your organization so how are you competing in retail today, specifically at GANT and then how is Google helping you transform and be the disruptor verses the disruptee. >> Well one of the things that works well for us is just the speed at which we can set up new markets because we use as much cloud as we do, so we can set up a new market in minimum time just by, they only need internet access and that's it, so it gives us an edge in that sense. >> Tell the audience more about GANT and in context. >> So GANT has quite a heritage it's an old company, it was formed in 1949 on the American East Coast actually in New Haven, Connecticut. And we moved the business to Sweden, Stockholm where I'm from in the 80s. We used to be one of the biggest shirt makers in the 50s and 60s and there's a lot of innovation in the GANT shirts. Like the locker loop do you know about that? Yeah that's a GANT. >> Oh no kidding, I didn't know that, oh thank you! >> Alright. >> I'm looking at the site now and I'm looking at some good stuff. >> So retail's an incredibly important industry for us and Google Cloud, and you touched on this retail's going through so much transformation and disruption right now, and what we're seeing is retailers are really striving to transform the entire business across all parts of the retail value chain, and we believe that technology and cloud computing is a big part of that transformation journey, which is why we're very excited to launch Google Cloud for retail, which is a suite of solutions that addresses specific business challenges retailers face and this is actually a collection of solutions that are both built by Google Cloud, like vision product search, recommendations AI, and also from our ecosystem of technology and SI partners, solutions like intelligent inventory, targeted digital marketing or demand forecasting, so we're very excited to bring technology to our retail consumers and help them in their transformation journey. >> Well it's great that you've got across to me and Rickard I will ask you kind of a work question, what do you do on a day to day basis, what is your job function 'cause IT's certainly changing, the workforce is going digital, the innovation certainly on your product side that you sell clothing, but you've got to run it all, what's your role? What do you do on a day to day basis? >> What I try to do is like optimize collaboration between us, between the main company and the subsidiary companies and all the, out to the retail and the stores, to get people just to move as fast as possible because that's, GANT's motto is never stop learning, and that's something that we try to live by from day to day, and that's a big part of it is collaboration and speed, that's our main issues. >> What's the core problem that you're trying to solve, what's the challenge, opportunity that you're going after, just more human to human inventory, what are some of the core challenges that you're trying to solve and turn them into opportunities? >> Well the, lets see, just getting people on board so from the new way of thinking when it comes to technology and not be stuck in old ways, but we can tryna foster every continuous change from an IT perspective, so instead of doing big releases and new technology we're always trying to just keep it flowing and doing changes all the time and that's something that our users are very used to, working in that way, which is, yeah. >> I mean data is critical in this whole equation, and it's, eluding to earlier, a lot of successful companies these days, Google being one of them puts data at the core. 1949 you were putting data at the core, it might have been a manufacturing plant or >> (laughs) Bunch of hearts. >> And conceptually we can see okay, we can draw the picture of putting data at the core and putting people around it, but what does that mean from a practical standpoint, how are you using data at GANT, and again I'm interested in how Google is helping, and if you could be specific in the context of G Suite that would be helpful as well. >> Well we are using data from the very beginning of the process because our end product is a very analog product it's a shirt, but the first step from the design department and all the data surrounding sciences, collars and everything so it is data from the beginning to sales figures in the end, definitely, we try to yeah. >> Yeah absolutely. >> If you could talk about the challenges around cloud and the opportunities, the challenges customers have in retail, as Dave mentioned data is killer, opportunity, but also could be a double edged sword, it could actually cut you the other way if you're not managing the data 'cause the user experience is number one, so you have to have access to data you've got to have discovery mechanisms in place and know when the right data to mix with the right data, knowing which profiles to look at, all kinds of things going on that's really data driven, what have you found in the industry to be a correct direction or best practice for retail because, the difference between getting it right and wrong could be literally one data point. >> Absolutely. Yeah data's hugely important and I think capturing the right data in your ecosystem is the starting point. So we talked about machine learning and AI all the time but really that starts with the foundation of strong data sets so one of the things we work with retailers on every time we have relationships and partnerships is lets identify the challenges you want to solve for and lets figure what data you have in your ecosystem that we need to bring together to set the stage for solving their problem right, so whether if it's things like demand forecasting, you need to start with capturing inventory information in real time first, so maybe supply chain has some level of tracking of your inventory but then lets look in store, how do we capture real time inventory flow within this store, there's lots of new technologies to help you do that now, and we build that data set with the retailer, and then we take them to the next step of infusing machine learning and other capabilities. >> Machine learning's only as good as the data, bad data in is bad machine learning, bad AIs so >> Exactly. >> So getting data right at the beginning, verses going in and cleaning it later is a huge issue. >> Incredibly important and it's something that retailers have to focus on and make that a priority to capture the right data, the right clean data as you said. >> So the big theme this week that we've been talking about is old way, new way, and you're seeing all kinds of old techniques whether it's perimeter based security or data warehouses, now moving to a whole new modern era and you guys are kind of leading the charge there so if you guys could comment about what you think the biggest misconception is for people not understanding this new way, using data, using a lot of big scale applications in the cloud, having micro services and cloud native techniques, a whole new way of building apps, whole new way of workspace collaboration is changing, what is the big misunderstanding that people from the old side world aren't getting, before they move over? >> Yeah, one of the common misconceptions that we see is that, they believe it's all or nothing. You don't have to take everything at once, there's a journey that you can map for yourself based on where your organization is in the maturity curve and the understanding and capabilities that we have from our technology perspective so what we work with our customers on is really identifying where are they at and what is important to them, and how can we craft a journey that's specific to their business to take advantage of cloud and the technology that we have and the solutions that we have, and it may be different for everybody but that's what we're here for, we work with them closely to do that. >> Rickard any comment on your end, on misconceptions people might have that haven't moved yet over to the new way? (laughs) >> Well everyone has the legacy applications and legacy systems but I think that now it's pretty obvious that everything should move into the cloud for security reasons and just practical reasons I think that's the way to go. >> Paint a picture for us, I like this journey concept, it's a good metaphor, and we had Amy Lokey on yesterday, we were talking kind of the future of work and I almost envisaged okay I want to work faster, smarter, I want more collaborative, I want to be secure, that's kind of the frontline worker, what you're talking about Pravin is a whole back end data model as well, intergrating that with the front end, so and then maybe there's some specific things in retail, in specific use cases so, I'm interested if you could paint a picture of sort of the vision of the digital workplace that you're building and that journey that you're on, what's that look like? >> Well less local servers is one big thing and just flexibility in how you work and how you can access on any device, that's the very important thing for us always you should be able to work on the move and as I said, be able to set up a new market super quick, you can do online training via Hangouts for example, and we can meet people digitally instead of traveling that's a big thing for us. We recently just set up a new office in Hong Kong and I didn't even go to Hong Kong for that, we just made that they have a good internet connection and that's it and they are up and running. >> Anything you could add to that? >> Absolutely, you know, we talk about G speed adoption, some of the common use cases that Rickard talked about already about just enabling better communication and collaboration is one thing, but then think of the next step of the journey right, if they're centralizing their data on Google cloud, so data like inventory data, both from their supply chain but also from in store captures now they can use that data and plug it into some sort of a clientele application that's integrated with G Suite where the store associate has a very quick understanding of what real time inventory they have as the customer comes in and asks for something, they're able to very quickly respond to that customer without having to go back and check in the back of the store or on the shelf, because that information is available to them right on their finger tips. With a combination of G Suite, but also the data that's flowing into G Suite. >> As a customer of Google what's your impression of Google Next this year, what's your impression? >> I think it's amazing, it was a lot bigger than I thought it would be, this is still overwhelming to take in. It's really interesting I've met a lot of interesting people and had a lot of good talks with people around here and a lot of good information from potential customers or partners to us. >> Contents on message with the enterprise digital transformation but real meaty deep dive sessions, experts around. >> Yeah there's a lot of good stuff here. >> Pravin your thoughts on the show? >> It's incredible every time I come to, this is my fourth Google Next and every time I come here it's just incredible to see the passion that we see from the attendees and it's growing so tremendously every single year, and we can't be more excited to have all these customers here sharing and learning from each other. >> In your opinion what's the most important story that people should pay attention to coming out of Google Cloud Next, what's the high order bid? What's your opinion? >> I'll be biased, it's our focus on industries. Thomas talked about it quite a bit, we're very much focused on key industries and trying to solve challenges faced by our customers in those industries, and we're bringing solutions to market that addresses the biggest focus they have for their business. >> Rickard shopping's important these days even for men and women, what's some shopping tips that we can share? Inside information from the data. >> Even for men that's beautiful. (laughing) I love to shop. >> I'll never go wrong with a white-- >> Never wear a tie on stage I told Dave. >> I've got my pink tie on today! >> You'll never go wrong with a white buttoned down oxford shirt that's my only tip. >> And some chinos maybe, chinos are hot. >> We have a lot of those. >> Alright. Rickard thanks for coming on, thanks for sharing your story, >> Thank you very much. >> Pravin thanks for coming on. >> Thank you for having us. >> CUBE coverage here. We're talking it all, clothing, CUBE, data all here in theCUBE, we're on the ground floor, I'm John Furrier, Dave Vellante, more CUBE coverage after this short break. (bright electronic music jingle)

(light orchestral music) >> Hello, everyone, and welcome to the Cube Conversation here at the Palo Alto studios for theCUBE. I'm John Furrier, the co-founder of SiliconANGLE Media. We're here for some news analysis with Peter Smails, the CMO of Datos.IO D-a-t-o-s dot I-O. Hot new start up with some news. Peter was just here for a thought leader segment with Chris Cummings talking about the industry breakdown. But the news is hot, prior to re:Invent which you will be at? >> Absolutely. >> RecoverX is the product. 2.5, it's a release. So, you've got a point release on your core product. >> Correct. >> Welcome to this conversation. >> Thanks for having me. Yeah, we're excited to share the news. Big day for us. >> All right, so let's get into the hard news. You guys are announcing a point release of the latest product which is your core flagship, RecoverX. >> Correct. >> Love the name. Love the branding of the X in there. It reminds me of the iPhone, so makes me wanna buy one. But you know ... >> We can make that happen, John. >> You guys are the X Factor. So, we've been pretty bullish on what you guys are doing. Obviously, like the positioning. It's cloud. You're taking advantage of the growth in the cloud. What is this new product release? Why? What's the big deal? What's in it for the customer? >> So, I'll start with the news, and then we'll take a small step back and sort of talk about why exactly we're doing what we're doing. So, RecoverX 2.5 is the latest in our flagship RecoverX line. It's a cloud data management platform. And the market that we're going after and the market we're disrupting is the traditional data management space. The proliferation of modern applications-- >> John: Which includes which companies? >> So, the Veritas' of the world, the Commvault's of the world, the Dell EMC's of the world. Anybody that was in the traditional-- >> 20-year-old architected data backup and recovery software. >> You stole my fun fact. (laughs) But very fair point which is that the average age approximately of the leading backup and recovery software products is approximately 20 years. So, a lot's changed in the last 20 years, not the least of which has been this proliferation of modern applications, okay? Which are geo-distributed microservices oriented and the rapid proliferation of multicloud. That disrupts that traditional notion of data management specifically backup and recovery. That's what we're going after with RecoverX. RecoverX 2.5 is the most recent version. News on three fronts. One is on our advanced recovery, and we can double-click into those. But it's essentially all about giving you more data awareness, more granularity to what data you wanna recover and where you wanna put it, which becomes very important in the multicloud world. Number two is what we call data center aware backup and recovery. That's all about supporting geo-distributed application environments, which again, is the new normal in the cloud. And then number three is around enterprise hardening, specifically around security. So, it's all about us increased flexibility and new capabilities for the multicloud environment and continue to enterprise-harden the product. >> Okay, so you guys say significant upgrade. >> Peter: Yep. >> I wanna just look at that. I'm also pretty critical, and you know how I feel on this so don't take it personal, multicloud is not a real deal yet. It's in statement of value that customers are saying-- It's coming! But cloud is here today, regular cloud. So, multicloud ... Well, what is multicloud actually mean? I mean, I can have multiple clouds but I'm not actually moving workloads across clouds, yet. >> I disagree. >> Okay. >> I actually disagree. We have multiple customers. >> All right, debunk that. >> I will debunk that. Number one use case for RecoverX is backup and recovery. But with a twist of the fact that it's for these modern applications running these geo-distributed environments. Which means it's not about backing up my data center, it's about, I need to make a copy of my data but I wanna back it up in the cloud. I'm running my application natively in the cloud, so I want a backup in the cloud. I'm running my application in the cloud but I actually wanna backup from the cloud back to my private cloud. So, that in lies a backup and recovery, and operation recovery use case that involves multicloud. That's number one. Number two use case for RecoverX is what we talk about on data mobility. >> So, you have a different definition of multicloud. >> Sorry, what was your-- Our definition of multicloud is fundamentally a customer using multiple clouds, whether it be a private on-prem GCP, AWS, Oracle, any mix and match. >> I buy that. I buy that. Where I was getting critical of was a workload. >> Okay. >> I have a workload and I'm running it on Amazon. It's been architected for Amazon. Then I also wanna run that same workload on Azure and Google. >> Okay. >> Or Oracle or somewhere else. >> Yep. >> I have to re-engineer it (laughs) to move, and I can't share the data. So, to me what multicloud means, I can run it anywhere. My app anywhere. Backup is a little bit different. You're saying the cloud environments can be multiple environments for your solution. >> That is correct. >> So, you're looking at it from the other perspective. >> Correct. The way we define ourselves is application-centric data management. And what that essentially means is we don't care what the underlying infrastructure is. So, if you look at traditional backup and recovery products they're LUN-based. So, I'm going to backup my storage LUN. Or they're VM-based. And a lot of big companies made a lot of money doing that. The problem is they are no LUN's and VM's in hybrid cloud or multicloud environment. The only thing that's consistent across application, across cloud-environments is the data and the applications that are running. Where we focus is we're 100% application-centric. So, we integrate at the database level. The database is the foundation of any application you create. We integrate there, which makes us agnostic to the underlying infrastructure. We run, just as examples, we have customers running next generation applications on-prem. We have customers running next generation applications on AWS in GCP. Any permutation of the above, and to your point about back to the multicloud we've got organizations doing backup with us but then we also have organizations using us to take copies of their backup data and put them on whatever clouds they want for things like test and refresh. Or performance testing or business analytics. Whatever you might wanna do. >> So, you're pretty flexible. I like that. So, we talked before on other segments, and certainly even this morning about modern stacks. >> Yeah. >> Modern applications. This is the big to-do item for all CXOs and CIOs. I need a modern infrastructure. I need modern applications. I need modern developers. I need modern everything. Hyper, micro, ultra. >> Whatever buzz word you use. >> But you guys in this announcement have a couple key things I wanna just get more explanation on. One, advanced recovery, backup anywhere, recover anywhere, and you said enterprise-grade security is the third thing. >> Yep. >> So, let's just break them down one at a time. Advanced recovery for Datos 2.5, RecoverX 2.5. >> Yep. >> What is advanced recovery? >> It's very specifically about providing high levels of granularity for recovering your data, on two fronts. So, the use case is, again, backup. I need to recover data. But I don't wanna necessarily recover everything. I wanna get smarter about the data I wanna recover. Or it could be for non-operational use cases, which is I wanna spin up a copy of data to run test dev or to do performance testing on. What advanced recovery specifically means is number one, we've introduced the notion of queryble recovery. And what that means is that I can say things like star dot John star. And the results returning from that, because we're application-centric, and we integrated the database, we give you visibility to that. I wanna see everything star dot John star. Or I wanna recover data from a very specific row, in a very specific column. Or I want to mask data that I do not wanna be recovered and I don't want people to see. The implications of that are think about that from a performance standpoint. Now, I only recover the data I need. So, I'm very, very high levels of granularity based upon a query. So, I'm fast from an RTO standpoint. The second part of it is for non-operational requirements I only move the data that is select to that data set. And number three is it helps you with things like GDPR compliance and PII compliance because you can mask data. So, that's query-based recovery. That's number one. The second piece of advanced recovery is what we call incremental recovery. That is granular recovery based upon a time stamp. So, you can get within individual points in time. So, you can get to a very high level of granularity based upon time. So, it's all about visibility. It's your data and getting very granular in a smart way to what you wanna recover. So, if I kind of hear what you're saying, what you're saying is essentially you built in the operational effectiveness of being effective operationally. You know, time to backup recovery, all that good RTO stuff. Restoring stuff operationally >> Peter: Very quickly. >> very fast. >> Peter: In a smart way. >> So, there's a speed game there which is table stakes. But you're real value here is all these compliance nightmares that are coming down the pike, GDPR and others. There's gonna be more. >> Peter: Absolutely. I mean, it could be HIPPA, it could be GDPR, anything that involves-- >> Policy. >> Policies. Anything that requires, we're completely policy-driven. And you can create a policy to mask certain data based upon the criteria you wanna put in. So, it's all about-- >> So you're the best of performance, and you got some tunability. >> And it's all about being data aware. It's all about being data aware. So, that's what advanced recovery is. >> Okay, backup anywhere, recover anywhere. What does that mean? >> So, what that means is the old world of backup and recovery was I had a database running in my data center. And I would say database please take a snapshot of yourself so I can make a copy. The new world of cloud is that these microservices-based modern applications typically run, they're by definition distributed, And in many cases they run distributed across they're geo-distributed. So, what data center aware backup and recovery is, use a perfect example. We have a customer. They're running their eCommerce. So, leading online restaurant reservations company. They're running their eCommerce application on-prem, interestingly enough, but it's based on Cassandra distributed database. Excuse me, MongoDB. Sorry. They're running geo-distributed, sharded MongoDB clusters. Anybody in the traditional backup and recovery their head would explode when you say that. In the modern application world, that's a completely normal use case. They have a data center in the U.S. They have a data center in the U.K. What they want is they wanna be able to do local backup and recovery while maintaining complete global consistency of their data. So again, it's about recovery time ultimately but it's also being data aware and focusing only on the data that you need to backup and recovery. So, it's about performance but then it's also about compliance. It's about governance. That's what data center aware backup is. >> And that's a global phenomenon people are having with the GO. >> Absolutely. Yeah, you could be within country. It could be any number of different things that drive that. We can do it because we're data aware-- >> And that creates complexity for the customer. You guys can take that complexity away >> Correct. >> From the whole global, regional where the data can sit. >> Correct. I'd say two things actually. To give the customers credit, the customers building these apps or actually getting a lot smarter about what they're data is and where they're data is. >> So they expect this feature? >> Oh, absolutely. Absolutely. I wouldn't call it table stakes cause we're the only kids on the block that can do it. But this is in direct response to our customers that are building these new apps. I wanna get into some of the environmental and customer drivers in a second. I wanna nail the last segment down. Cause I wanna unpack the whole why is this trend happening? What's the gestation period? What's the main enabler for you? But okay, final point on the significant announcements. My favorite topic enterprise-grade security. What the hell does that mean? First of all, from your standpoint the industry's trying to solve the same thing. Enterprise-grade security, what are you guys providing in this? >> Number one, it's basically security protocol. So, TLS and SSL. This is weed stuff. TLS, SSL, so secure protocol support. It's integration with LDAP. So, if organizations are running, primarily if they're running on-prem and they're running in an LDAP environment, we're support there. And then we've got Kerberos support for Kerberos authentication. So, it's all about just checking the boxes around the different security >> So, this is like in between >> and transport protocol. >> the toes, the details around compliance, identity management. >> Peter: Bingo. >> I mean we just had Centrify's CyberConnect conference, and you're seeing a lot of focus on identity. >> Absolutely. And the reason that that's sort of from a market standpoint the reason that these are very important now is because the applications that we're supporting these are not science experiments. These are eCommerce applications. These are core business applications that mainstream enterprises are running, and they need to be protected and they're bringing the true, classic enterprise security, authentication, authorization requirements to the table. >> Are you guys aligning with those features? Or is there anything significant in that section? >> From an enterprise security standpoint? It's primarily about we provide the support, so we integrate with all of those environments and we can check the boxes. Oh, absolutely TLS. Absolutely, we've got that box checked because-- >> So, you're not competing with other cybersecurity? >> No, this is purely we need to do this. This is part of our enterprise-- >> This is where you partner. >> Peter: Well, no. For these things it's literally just us providing the protocol support. So, LDAP's a good example. We support LDAP. So, we show up and if somebody's using my data management-- >> But you look at the other security solutions as a way to integrate with? >> Yeah. >> Not so much-- >> Absolutely, no. This has nothing to do with the competition. It's just supporting ... I mean Google has their own protocol, you know, security protocols, so we support those. So, does Amazon. >> I really don't want to go into the customer benefits. We'll let the folks go to the Datos website, d-a-t-o-s dot i-o is the website, if you wanna check out all their customer references. I don't wanna kind of drill on that. I kind of wanna really end this segment on the real core issue for me is reading the tea leaves. You guys are different. You're now kind of seeing some traction and some growth. You're a new kind of animal in the zoo, if you will. (Peter laughs) You've got a relevant product. Why is it happening now? And I'm trying to get to understanding Cloud Oss is enabling a lot of stuff. You guys are an effect of that, a data point of what the cloud is enabled as a venture. Everything that you're doing, the value you create is the function of the cloud. >> Yes. >> And how data is moving. Where's this coming from? Is it just recently? Is it a gestation period of a few years? Where did this come from? You mentioned some comparisons like Oracle. >> So, I'll answer that in sort of, we like to use history as our guide. So, I'll answer that both in macro terms, and then I'll answer it in micro terms. From a macro term standpoint, this is being driven by the proliferation of new data sources. It's the easiest way to look at it. So, if you let history be your guide. There was about a seven to eight year proliferation or gap between proliferation of Oracle as the primary traditional relational database data source and the advent of Veritas who really defined themselves as the defacto standard for traditional on-prem data center relational data management. You look at that same model, you'll look at the proliferation of VMware. In the late 90s, about a seven to eight year gestation with the rapid adoption of Veeam. You know the early days a lot of folks laughed at Veeam, like, "Who's gonna backup VMs? People aren't gonna use VMs in the enterprise. Now, you looked at Veeam, great company. They've done some really tremendous things carving out much more than a niche providing backup and recovery and availability in a VM-based environment. The exact same thing is happening now. If you go back six to seven years from now, you had the early adoption of the MongoDBs, the Cassandras, the Couches. More recently you've got a much faster acceleration around the DynamoDBs and the cloud databases. We're riding that same wave to support that. >> This is a side effect of the enabling of the growth of cloud. >> Yes. >> So, similar to what you did in VMware with VMs and database for Oracle you guys are taking it to the next level. >> These new data sources are completely driven by the fact that the cloud is enabling this completely distributed, far more agile, far more dynamic, far less expensive application deployment model, and a new way of providing data management is required. That's what we do. >> Yeah, I mean it's a function of maturity, one. As Jeff Rickard, General Manager of theCube, always says, when the industry moves to it's next point of failure, in this case failure is problem and you solve. So, the headaches that come from the awesomeness of the growth. >> Absolutely. And to answer that micro-wise briefly. So, that was the macro. The micro is the proliferation of, the movement from monolithic apps to microservices-based app, it's happening. And the cloud is what's enabling them. The move from traditional on-prem to hybrid cloud is absolutely happening. That's by definition the cloud. The third piece which is cloud-centric is the world's moving from a scale up world to an elastic-compute, elastic storage model. We call that the modern IT stack. Traditional backup and recovery, traditional data management doesn't work in the new modern IT stack. That's the market we're planning. That's the market we're disrupting is all that traditional stuff moving to the modern IT stack. >> Okay, Datos IO announcing a 2.5 release of RecoverX, their flagship product, their start up growing out of Los Gatos. Peter Smails here, the CMO. Where ya gonna be next? What's going on-- I know we're gonna see you re:Invent in a week in a half. >> Absolutely. So, we've got two stops. Well, actually the next stop on the tour is re:Invent. So, absolutely looking forward to being back on theCUBE at re:Invent. >> And the company feels good about those things are good. You've got good money in the bank. You're growing. >> We feel fantastic. It's fascinating to watch as things develop. The conversations we have now versus even six months ago. It's sort of the tipping point of people get it. You sort of explain, "Oh, yeah it's data management from modern applications. Are you deploying modern applications?" Absolutely. >> Share one example to end this segment on what you hear over and over again from customers that illuminates what you guys are about as a company, the DNA, the value preposition, and their impact on results and value for customers. >> So, I'll use a case study as an example. You know, we're the world's largest home improvement retailers. Old way, was they ran their multi-billion dollar eCommerce infrastructure. Running on IBM Db2 database. Running in their on-prem data center. They've moved their world. They're now running, they've re-architected their application. It's now completely microservices-based running on Cassandra, deployed 100% in Google cloud platform. And they did that because they wanted to be more agile. They wanted to be more flexible. It's a far more cost effective deployment model. They are all in on the cloud. And they needed a next generation backup and recovery data protection, data management solution which is exactly what we do. So, that's the value. Backup's not a new problem. People need to protect data and they need to be able to take better advantage of the data. >> All right, so here's the final, final question. I'm a customer watching this video. Bottom line maybe, I'm kind of hearing all this stuff. When do I call you? What are the signals? What are the little smoke signals I see in my organization burning? When do I need to call you guys, Datos? >> You should call Datos IO anytime, if you're doing anything with development of modern applications, number one. If you're doing anything with hybrid cloud you should call us. Because you're gonna need to reevaluate your overall data management strategy it's that simple. >> All right, Peter Smails, the CMO of Datos, one of the hot companies here in Silicon Valley, out of Los Gatos, California. Of course, we're in Palo Alto at theCube Studios. I'm John Furrier. This is theCUBE conversation. Thanks for watching. (upbeat techno music)