(upbeat music) >> Welcome back to AWS storage day. This is the Cubes continuous coverage. My name is Dave Vellante, and we're going to talk about file storage. 80% of the world's data is in unstructured storage. And most of that is in file format. Devs want infrastructure as code. They want to be able to provision and manage storage through an API, and they want that cloud agility. They want to be able to scale up, scale down, pay by the drink. And the big news of storage day was really the partnership, deep partnership between AWS and NetApp. And with me to talk about that as Ed Naim, who's the general manager of Amazon FSX and Anthony Lye, executive vice president and GM of public cloud at NetApp. Two Cube alums. Great to see you guys again. Thanks for coming on. >> Thanks for having us. >> So Ed, let me start with you. You launched FSX 2018 at re-invent. How has it being used today? >> Well, we've talked about MSX on the Cube before Dave, but let me start by recapping that FSX makes it easy to, to launch and run fully managed feature rich high performance file storage in the cloud. And we built MSX from the ground up really to have the reliability, the scalability you were talking about. The simplicity to support, a really wide range of workloads and applications. And with FSX customers choose the file system that powers their file storage with full access to the file systems feature sets, the performance profiles and the data management capabilities. And so since reinvent 2018, when we launched this service, we've offered two file system choices for customers. So the first was a Windows file server, and that's really storage built on top of Windows server designed as a really simple solution for Windows applications that require shared storage. And then Lustre, which is an open source file system that's the world's most popular high-performance file system. And the Amazon FSX model has really resonated strongly with customers for a few reasons. So first, for customers who currently managed network attached storage or NAS on premises, it's such an easy path to move their applications and their application data to the cloud. FSX works and feels like the NAZA appliances that they're used to, but added to all of that are the benefits of a fully managed cloud service. And second, for builders developing modern new apps, it helps them deliver fast, consistent experiences for Windows and Linux in a simple and an agile way. And then third, for research scientists, its storage performance and its capabilities for dealing with data at scale really make it a no-brainer storage solution. And so as a result, the service is being used for a pretty wide spectrum of applications and workloads across industries. So I'll give you a couple of examples. So there's this class of what we call common enterprise IT use cases. So think of things like end user file shares the corporate IT applications, content management systems, highly available database deployments. And then there's a variety of common line of business and vertical workloads that are running on FSX as well. So financial services, there's a lot of modeling and analytics, workloads, life sciences, a lot of genomics analysis, media and entertainment rendering and transcoding and visual effects, automotive. We have a lot of electronic control units, simulations, and object detection, semiconductor, a lot of EDA, electronic design automation. And then oil and gas, seismic data processing, pretty common workload in FSX. And then there's a class of, of really ultra high performance workloads that are running on FSX as well. Think of things like big data analytics. So SAS grid is a, is a common application. A lot of machine learning model training, and then a lot of what people would consider traditional or classic high performance computing or HPC. >> Great. Thank you for that. Just quick follow-up if I may, and I want to bring Anthony into the conversation. So why NetApp? This is not a Barney deal, this was not elbow grease going into a Barney deal. You know, I love you. You love me. We do a press release. But, but why NetApp? Why ONTAP? Why now? (momentary silence) Ed, that was to you. >> Was that a question for Anthony? >> No, for you Ed. And then I want to bring Anthony in. >> Oh, Sure. Sorry. Okay. Sure. Yeah, I mean it, uh, Dave, it really stemmed from both companies realizing a combined offering would be highly valuable to and impactful for customers. In reality, we started collaborating in Amazon and NetApp on the service probably about two years ago. And we really had a joint vision that we wanted to provide AWS customers with the full power of ONTAP. The complete ONTAP with every capability and with ONTAP's full performance, but fully managed an offer as a full-blown AWS native service. So what that would mean is that customers get all of ONTAP's benefits along with the simplicity and the agility, the scalability, the security, and the reliability of an AWS service. >> Great. Thank you. So Anthony, I have watched NetApp reinvent itself started in workstations, saw you go into the enterprise, I saw you lean into virtualization, you told me at least two years, it might've been three years ago, Dave, we are going all in on the cloud. We're going to lead this next, next chapter. And so, I want you to bring in your perspective. You're re-inventing NetApp yet again, you know, what are your thoughts? >> Well, you know, NetApp and AWS have had a very long relationship. I think it probably dates now about nine years. And what we really wanted to do in NetApp was give the most important constituent of all an experience that helped them progress their business. So ONTAP, you know, the industry's leading shared storage platform, we wanted to make sure that in AWS, it was as good as it was on premise. We love the idea of giving customers this wonderful concept of symmetry. You know, ONTAP runs the biggest applications in the largest enterprises on the planet. And we wanted to give not just those customers an opportunity to embrace the Amazon cloud, but we wanted to also extend the capabilities of ONTAP through FSX to a new customer audience. Maybe those smaller companies that didn't really purchase on premise infrastructure, people that were born in the cloud. And of course, this gives us a great opportunity to present a fully managed ONTAP within the FSX platform, to a lot of non NetApp customers, to our competitors customers, Dave, that frankly, haven't done the same as we've done. And I think we are the benefactors of it, and we're in turn passing that innovation, that, that transformation onto the, to the customers and the partners. >> You know, one is the, the key aspect here is that it's a managed service. I don't think that could be, you know, overstated. And the other is that the cloud nativeness of this Anthony, you mentioned here, our marketplace is great, but this is some serious engineering going on here. So Ed maybe, maybe start with the perspective of a managed service. I mean, what does that mean? The whole ball of wax? >> Yeah. I mean, what it means to a customer is they go into the AWS console or they go to the AWS SDK or the, the AWS CLI and they are easily able to provision a resource provision, a file system, and it automatically will get built for them. And if there's nothing that they need to do at that point, they get an endpoint that they have access to the file system from and that's it. We handle patching, we handle all of the provisioning, we handle any hardware replacements that might need to happen along the way. Everything is fully managed. So the customer really can focus not on managing their file system, but on doing all of the other things that they, that they want to do and that they need to do. >> So. So Anthony, in a way you're disrupting yourself, which is kind of what you told me a couple of years ago. You're not afraid to do that because if we don't do it, somebody else is going to do it because you're, you're used to the old days, you're selling a box and you say, we'll see you next time, you know, three or four years. So from, from your customer's standpoint, what's their reaction to this notion of a managed service and what does it mean to NetApp? >> Well, so I think the most important thing it does is it gives them investment protection. The wonderful thing about what we've built with Amazon in the FSX profile is it's a complete ONTAP. And so one ONTAP cluster on premise can immediately see and connect to an ONTAP environment under FSX. We can then establish various different connectivities. We can use snap mirror technologies for disaster recovery. We can use efficient data transfer for things like dev test and backup. Of course, the wonderful thing that we've done, that we've gone beyond, above and beyond, what anybody else has done is we want to make sure that the actual primary application itself, one that was sort of built using NAS built in an on-premise environment an SAP and Oracle, et cetera, as Ed said, that we can move those over and have the confidence to run the application with no changes on an Amazon environment. So, so what we've really done, I think for customers, the NetApp customers, the non NetApp customers, is we've given them an enterprise grade shared storage platform that's as good in an Amazon cloud as it was in an on-premise data center. And that's something that's very unique to us. >> Can we talk a little bit more about those, those use cases? You know, both, both of you. What are you seeing as some of the more interesting ones that you can share? Ed, maybe you can start. >> Yeah, happy to. The customer discussions that we've, we've been in have really highlighted four cases, four use cases the customers are telling us they'll use a service for. So maybe I'll cover two and maybe Anthony can cover the other two. So, the first is application migrations. And customers are increasingly looking to move their applications to AWS. And a lot of those are applications work with file storage today. And so we're talking about applications like SAP. We're talking about relational databases like SQL server and Oracle. We're talking about vertical applications like Epic and the healthcare space. As another example, lots of media entertainment, rendering, and transcoding, and visual effects workload. workflows require Windows, Linux, and Mac iOS access to the same set of data. And what application administrators really want is they want the easy button. They want fully featured file storage that has the same capabilities, the same performance that their applications are used to. Has extremely high availability and durability, and it can easily enable them to meet compliance and security needs with a robust set of data protection and security capabilities. And I'll give you an example, Accenture, for example, has told us that a key obstacle their clients face when migrating to the cloud is potentially re-architecting their applications to adopt new technologies. And they expect that Amazon FSX for NetApp ONTAP will significantly accelerate their customers migrations to the cloud. Then a second one is storage migrations. So storage admins are increasingly looking to extend their on-premise storage to the cloud. And why they want to do that is they want to be more agile and they want to be responsive to growing data sets and growing workload needs. They want to last to capacity. They want the ability to spin up and spin down. They want easy disaster recovery across geographically isolated regions. They want the ability to change performance levels at any time. So all of this goodness that they get from the cloud is what they want. And more and more of them also are looking to make their company's data accessible to cloud services for analytics and processing. So services like ECS and EKS and workspaces and App Stream and VMware cloud and SageMaker and orchestration services like parallel cluster and AWS batch. But at the same time, they want all these cloud benefits, but at the same time, they have established data management workflows, and they build processes and they've built automation, leveraging APIs and capabilities of on-prem NAS appliances. It's really tough for them to just start from scratch with that stuff. So this offering provides them the best of both worlds. They get the benefits of the cloud with the NAS data management capabilities that they're used to. >> Right. >> Ed: So Anthony, maybe, do you want to talk about the other two? >> Well, so, you know, first and foremost, you heard from Ed earlier on the, the, the FSX sort of construct and how successful it's been. And one of the real reasons it's been so successful is, it takes advantage of all of the latest storage technologies, compute technologies, networking technologies. What's great is all of that's hidden from the user. What FSX does is it delivers a service. And what that means for an ONTAP customer is you're going to have ONTAP with an SLA and an SLM. You're going to have hundreds of thousands of IOPS available to you and sub-millisecond latencies. What's also really important is the design for FSX and app ONTAP was really to provide consistency on the NetApp API and to provide full access to ONTAP from the Amazon console, the Amazon SDK, or the Amazon CLI. So in this case, you've got this wonderful benefit of all of the, sort of the 29 years of innovation of NetApp combined with all the innovation AWS, all presented consistently to a customer. What Ed said, which I'm particularly excited about, is customers will see this just as they see any other AWS service. So if they want to use ONTAP in combination with some incremental compute resources, maybe with their own encryption keys, maybe with directory services, they may want to use it with other services like SageMaker. All of those things are immediately exposed to Amazon FSX for the app ONTAP. We do some really intelligent things just in the storage layer. So, for example, we do intelligent tiering. So the customer is constantly getting the, sort of the best TCO. So what that means is we're using Amazon's S3 storage as a tiered service, so that we can back off code data off of the primary file system to give the customer the optimal capacity, the optimal throughput, while maintaining the integrity of the file system. It's the same with backup. It's the same with disaster recovery, whether we're operating in a hybrid AWS cloud, or we're operating in an AWS region or across regions. >> Well, thank you. I think this, this announcement is a big deal for a number of reasons. First of all, it's the largest market. Like you said, you're the gold standard. I'll give you that, Anthony, because you guys earned it. And so it's a large market, but you always had to make previously, you have to make trade-offs. Either I could do file in the cloud, but I didn't get the rich functionality that, you know, NetApp's mature stack brings, or, you know, you could have wrapped your stack in Kubernete's container and thrown it into the cloud and hosted it there. But now that it's a managed service and presumably you're underneath, you're taking advantage. As I say, my inference is there's some serious engineering going on here. You're taking advantage of some of the cloud native capabilities. Yeah, maybe it's the different, you know, ECE two types, but also being able to bring in, we're, we're entering a new data era with machine intelligence and other capabilities that we really didn't have access to last decade. So I want to, I want to close with, you know, give you guys the last word. Maybe each of you could give me your thoughts on how you see this partnership of, for the, in the future. Particularly from a customer standpoint. Ed, maybe you could start. And then Anthony, you can bring us home. >> Yeah, well, Anthony and I and our teams have gotten to know each other really well in, in ideating around what this experience will be and then building the product. And, and we have this, this common vision that it is something that's going to really move the needle for customers. Providing the full ONTAP experience with the power of a, of a native AWS service. So we're really excited. We're, we're in this for the long haul together. We have, we've partnered on everything from engineering, to product management, to support. Like the, the full thing. This is a co-owned effort, a joint effort backed by both companies. And we have, I think a pretty remarkable product on day one, one that I think is going to delight customers. And we have a really rich roadmap that we're going to be building together over, over the years. So I'm excited about getting this in customer's hands. >> Great, thank you. Anthony, bring us home. >> Well, you know, it's one of those sorts of rare chances where you get to do something with Amazon that no one's ever done. You know, we're sort of sitting on the inside, we are a peer of theirs, and we're able to develop at very high speeds in combination with them to release continuously to the customer base. So what you're going to see here is rapid innovation. You're going to see a whole host of new services. Services that NetApp develops, services that Amazon develops. And then the whole ecosystem is going to have access to this, whether they're historically built on the NetApp APIs or increasingly built on the AWS APIs. I think you're going to see orchestrations. I think you're going to see the capabilities expand the overall opportunity for AWS to bring enterprise applications over. For me personally, Dave, you know, I've demonstrated yet again to the NetApp customer base, how much we care about them and their future. Selfishly, you know, I'm looking forward to telling the story to my competitors, customer base, because they haven't done it. So, you know, I think we've been bold. I think we've been committed as you said, three and a half years ago, I promised you that we were going to do everything we possibly could. You know, people always say, you know, what's, what's the real benefit of this. And at the end of the day, customers and partners will be the real winners. This, this innovation, this sort of, as a service I think is going to expand our market, allow our customers to do more with Amazon than they could before. It's one of those rare cases, Dave, where I think one plus one equals about seven, really. >> I love the vision and excited to see the execution Ed and Anthony, thanks so much for coming back in the Cube. Congratulations on getting to this point and good luck. >> Anthony and Ed: Thank you. >> All right. And thank you for watching everybody. This is Dave Vellante for the Cube's continuous coverage of AWS storage day. Keep it right there. (upbeat music)

live from Las Vegas it's the cube covering AWS reinvent 2018 brought to you by Amazon Web Services Intel and their ecosystem partners okay welcome back and we're live here in Las Vegas day three last interview of the day three days of wall-to-wall coverage two sets here at AWS reinvent 2018 our sixth year we've been at every reinvent except for the first one and it's been great to watch the rise I'm Jeff we're with Dean Volante we're here with Andy Jesse the CEO of AWS started this as it working backwards document years ago twelve years ago 12 half year zine years ago was when the document was written and we've launched 12 and a half years ago great to see you thanks for spending time I know you're super busy congratulations we met last week you couldn't really talk about it but boy there was so much more payload in the announcements than they were before are you happy with the results certainly three our keynote was taxing what's good impression when the keynote was over but ya know we're thrilled with it and most importantly the reason we're thrilled is because our customers are thrilled I think they just couldn't believe how much we delivered this week you know well over 100 capabilities and they were super excited about you know the storage announced was the thing is when you have millions of customers any announcement you make is going to be popular with thousands of customers so some people walked up to me and said oh I know it's not sexy but I love the storage announcements I needed the file systems I wanted that glacier deep archive some customers love the database releases with lots of customers that were excited about the machine learning piece and you know the another unsexy one where the enterprise abstractions just to make it so much easier for that type of builder who wants more prescriptive guidance to be able to get started quicker and then you know people are pretty excited that outpost too so it has you a question I'll talk Amazon speak now what what areas of the show do you feel you raise the bar this year on what was that what would you point to bar raising moments announcements well you know I think each year one of the things I like about reinvent and that we work hard on is we'd like to have we don't really want it to be a corporate event we wanted to be quirky and we want it to be authentic and we want you know we want our community to fit to have fun here while they also learn so you know Midnight Madness is for instance something we do every you know we've done the last couple years and we try radically different things and so I thought that Tatanka eating contest raised the bar is again this year was the second year in a row that we said again as political World Records and you know I thought I really liked Peter De Santis --is and Myrna Vogel's keynotes on Monday and today respectively I thought they both were fantastic and you know keep raising the bar are you over a year and you know so they're you know we're hoping I too will be something that people feel like raise the bar year over year what the house band synchronicity was quite good too you know yeah I tell you that that fan is terrific and you know and I think that again all those things I mentioned are part of what we you know think makes the event fun and quirky and different but the most important thing by far is the learning of the education and then our customers excited about not just the platform but we launched so many things do they feel like it helps them do their job better well while we're on the raising bar we've got a prop here this is the the deep racer deep the deep racer machine learning it's a toy for testing and the question comes up how old do you have to be to use this and I said hey if your kid can code machine learning good for them but talk about this because this is kind of interesting because it's fun but where'd this come from you know it came from last year when we release sage maker and we were making machine learning so much easier for everyday developers of scientists we said what can we do to give people hands-on experience because you learn things better if you actually try it and so we tried to help developers get more experience to computer vision by having a deep lens you know video camera and that was wildly popular and so as we were thinking about this year making reinforcement learning available as easily as we are in sage maker which we think is a huge potential game-changer grant Forsman learning the team kept thinking about it's great but nobody knows enforcement learning and nobody has experienced with it how can we give them experience what are ways they can get hands-on experience and that's how the deep racer car came up which is really making it simple where they can just give us a reward function with a line of Python strip and then Sage Maker will automatically train an RL algorithm and then they get to play it to the car and then race against one another and when we watched how competitive it was getting inside our own house on these RL infused cars racing each other we figured other people might find a compelling as well and I couldn't believe how many people participate yesterday yeah and then I don't know if you saw it three burners right before burners keynote the finals were really exciting to like the fact that there were some imperfections were actually made it more compelling to watch and so we had a racer Cup coming up - I met play 19 competitive yes that's going to happen yeah today was the accelerated version of the first ever deep racer League championship Cup but next year will be a full season at our 20 AWS summits the top winners in the in the deep racers you see bracer League races at each of those summits plus the top 10 vote getters in points from those summits will come here and compete for the championship Cup now you and I talked about a new persona last week when we met but now the announcements pretty clear now why this points to a whole new persona developer you got eSports on the twitch side booming heat sports is changing the game and in the whole digital sports category robotics space you got a satellite announcement this is a genre changed in digital culture and you see the AI stuff and machine learning how does the web services stack play in this new world where AI is now a service it's a whole nother paradigm shift what's your thoughts on all that well you know I mean all those areas that were continuing to expand into our areas that our customers are asking us to help them with and where there are huge opportunities for customers but where it's hard I mean if you look at space as an example if you've to interact with a satellite it's it's expensive to have to have all those satellites set up you know and those drown ground antennas set up and then you have to program them and then and you actually have to pay this fixed price instead of on-demand customers so why can't you give us access those satellites the way we consume AWS and then if you can have the ground antennas where when the data comes down from the satellite it's basically on the same premises as your AWS region so we can store the data and process the data analyze it and take action that is very compelling so that that just felt like a natural fit you know and the same thing with robotics I think that robotics is one of the most underrated areas of Technology I think robots will do all kinds of things for us at work and in a home and the tools out there to make it easy to build robotic applications and to do the simulation to deploy them and then have them work with the rest of your applications and infrastructure have been pretty primitive and so robot maker is I agree with you I think you look at the younger generation too even at the high school elementary level people are gravitating towards robotics robotics clubs are booming that maker culture goes through a whole nother level with robotic congratulation you know it's funny we had the youngest person to ever pass the AWS certification exam is a kid named Karthik nine years old passed and he was here this week actually and I got a chance to meet with him today and I said well after the certification what are you doing he said well I'm building a robot you know I'm feeling Ruben he said now with your launch of deep racer I want to try and find a way to to have the deep racer car be the eyes and the camera and the reinforcement learning for my robot nine years old yes it's gonna be a different generation with what they build John and I were talking this morning Andy at our open about you're making it harder for the critics used to be self-service only it criticized your open source contributions the hybrid strategy your turn a tick in the box is on all those outpost was I think surprised a lot of people it didn't so much surprise us that you were moving in that direction but I wonder if you could sort of talk about some of those key initiatives I know it's customer driven but wow the the TAM expansion the the customer value that you're bringing it's like a whole new era that you're entering yeah you know everything we build is you guys know we talk about all the time it's just it's driven by what customers want and so we just started over the last six months you know and really by virtue of having this partnership with VMware where we have a lot of enterprise engagement as they're moving to the cloud using VMware cloud and AWS we had a bunch of customers say it's really great I'm moving most my application of the cloud but there's some that aren't moving for a while because they got to be close to selling on-premises and I want to use AWS for this I don't want a different environment can you just find a way to put some services like compute and storage on-premises and hardware but I want to actually use the same control plan I'm going to use for the rest of AWS and I wanted to easily connect with the rest of my applications in AWS and we had you know we didn't like as you and I talked about a week or two ago we just have not like the model that's been out there so far to do this because it's you know the control plane is different the api's are different the tools are different the hardware is different the functionality is different and customers don't like it's why it's not getting much traction and we didn't want to pursue it if we didn't think it was going to be useful but we had this concept we were working on with a couple customers where they wanted compute and storage on-premises but they wanted to have that connect with all the other applications in the AWS cloud and so we have this idea that maybe this local set of compute and storage would be like a far zone from an availability zone they were using and we started thinking about that and we thought there was much more generalized idea which became outposts and so the thing that I think people are gonna love about that is for the applications that can't move easily because they need to be close slang on-premises you get AWS like real AWS compute real AWS Storage Analytics database sage maker will be in there as well but it's the same api's same control playing the same tools the same hardware we use in our data centers and it will easily connect through the same control plane to the rest of AWS the rest of the services and the rest of their applications there so and it provides a platform for a whole host of new services down I mean every customer meeting I've had in the last we made the announcement people are excited about I want to ask you guys are talking about all the innovation and new areas and we're seeing an expansion of the AWS distinct brand and things like TV advertising statcast I wonder what's behind that can you address that yeah it's a good question I mean there's kind of two different types of I'll call it TV advert Swartz we're doing one is straight-up advertising one is less so which is you know the one that less so is that a number of the sports leagues are really interested in and actually pretty sophisticated in using cloud computing and analytics and machine learning if you look at Major League Baseball now NFL and Formula One and they want to make the user experience and the viewer experience so much better and so they're building on top of AWS and then we like the ability of helping them showcase the capabilities that they're you know both the customer experience and the ml and AI capabilities then there's just a straight-up advertising them that we've been trying we tried a little bit of it last q4 and you know it's always very difficult to quantitatively measure tvf but we have a lot of ways that we try to triangulate that and we were really surprised and what looked like the positive numbers we saw for both TV as well as the outdoor media and things like in the airports and things like that and so we decided we would try it again this q4 and you know I think I would call us right now still experimenting yeah and it's very much kind of what Amazon does which is we try different things to see what resonates the see Whitefield says so so far so good and we expect to keep experimenting I I think that's a good call because the brand lift is probably there I'll see impressions get reach vehicle but you guys are in a rising tide market we're hearing co-creation VMware co-creating deep meaningful partnerships you always talk about that so it's kind of this success model of innovation to reimagine the satellite Lockheed Martin a partnership this seems to be a new way to do business in this rising tide how are you guys getting the word out education people want to know more this is a big kind of movement yeah well you know I think that if you looked at the first several years of AWS I was always surprised when I would go see enterprises and they would have no idea that Amazon was doing anything in the cloud even though we had the only cloud offering at the time so I think if you compare where we were a few years ago to today there's you know gigantic awareness relatively speaking but I still think that there are so many majority of workloads still live on premises I mean we have a twenty seven billion dollar revenue run rate business it's growing forty six percent year-over-year and yet we're still at the early stages of the meet of enterprise of public sector adoption in the u.s. you go outside the US where there twelve to thirty six months behind depending on the country in the industry and sometimes it feels like you know like Groundhog's Day well you guys are doing regions out there Italy as was announced yeah you're expanding very fast globally can you talk about that real quick yeah it's it's a you know we've had customers from 192 countries using AWS for many many years but they've been using AWS in regions outside of their country usually because there are a lot of workloads that could stand that latency and where the data doesn't have to be on natural soil but increasingly if you want to help customers get done what they want to and serve the broader array of their applications you have to have regions in their country both so that they have lower latency to their end users and because the data sovereignty laws which are getting really more rigid rather than more flexible let me ask you a question about competition you you said I can't members on the cube or in person there's no compression reach out gorilla for experience and time elastic economies with scale when you have copycat people trying to copy Amazon how do you talk about some of those things that are those diseconomies of scale what are the points that customers should look at when they say okay I got someone else is talking cloud Amazon's got years of experience ahead of the competition more services what do you talk about what do you point to you it's not about slimming the competition but what is the diseconomy of scale to try to match the trajectory of Amazon yeah it's it's a bunch of things you know first of all it's operational performance you know a lot of the hardest lessons you learn and operating of scale only happen when you get to that level of scale and you know there's some events that we see sometimes elsewhere we look at that and then we read the post-mortem we say oh yeah 2011 you know we remember they went through that I don't wish it on anybody but when you have a business at several times larger than the next or providers combined you just said a different level of scale and you've learned lessons earlier I also think that the reason that we continue to have both so much more functionality and innovate at a faster clip and seem to get capabilities that customers want is because we have so many more customers than anybody else you know a lot of times and this is happening all week to where customers will say to me I can't believe that you knew that I wanted that and I always say it's because you told us yeah it's not like we're Nostradamus you've told us that and so when you have so many more customers and when they feel free to give you feedback and when you've built good mechanisms like we have to get that feedback from the field to the product builders it means there's this real flywheel of getting you know getting more customers leads to more feedback leads to more features leads to better functionality where there's a network effect from being on the platform with all those other customers and all those industries I wonder if you could add some color to a premise that we've put forth on your edge strategy so what you guys you know we do a lot of these shows and a lot of the IOT and edge strategies that we've seen from traditional IT players what you call the old guard have fallen flat in our opinion because it's a top-down approach it reminds us of the Windows Phone it just didn't work and it's not going to work as their operations technologies people we see what you've announced here as a Bottoms Up approach you developing an application platform to build secure and manage apps for those folks right at the edge I wonder if you could add some color to that and some thoughts on your edge strategy yeah I mean again for us if we don't have some top-down strategy that you know that I think is grandiose it's just what customers want and so we have so many customers who have all these devices at the edge and all these assets at the edge and they said to us well the first problem I have I want to get this data into the cloud and then I want to do analytics item we say ok well how can we help they say well the first thing is I don't even know how to translate this data from the device protocol to just being able to operate in the cloud so that's the first problem we go solve well then people say ok now I can get it in but I actually I need security like you know if you look at the amount of security options for these edge devices it's a new field you know let that dine attack that took a lot of the internet down a couple years ago came from you know a device on the edge and so that's why you know we built you know a security capability and people say well okay now you've made it so I can run devices but if I'm gonna run thousands of devices I need a way to manage all those devices of scale and we build telling to manage two devices and people say well ok it's great that I can do it and device is big enough that have a CPU but what about when they don't have a CPU you know they have just a microcontroller and that's why we built the our toss piece and you know the list kind of keeps going people so this is great now that I get all this data in the cloud I can take all these analytics actions but on my device sometimes I don't want to make the round trip to the cloud so can you give me a way to use the same programming model and and pick which triggers I want to take action with cloud versus those that want to take on the device itself which was what green grass was so all of those pieces is not some kind of top-down master plan as much as we know that customers have all these devices the edge that they want to use that data analyze that data take action on that data and send it back in multiple ways and you have you have the cloud platform to give them the services to make the tools the right tools for the right job yeah that's the main team yeah so I got to ask you about one of the big controversies that we don't think that's that controversial but the chips that you announced new Amazon Web Services front microprocessors the chips yeah do two of them talk about them and Intel's also a partner a lot of people are talking about this in the press yeah Intel Amazon chips well that annapurna acquisition is Norton they bear fruit was 2015 I think yeah early it really the annapurna team is fantastic and they've added a huge amount of value to AWS and Amazon as a whole you know the first thing I would say is that Intel is a very deep partner of AWS and will be for a long time I mean that that's not changing and we've been a long thought that they were gonna be lots of different processors out there and and different ones that did different things at different price points and so like a lot of other companies we've been interested in arm for a long time and for a while it wasn't mature enough and the technology is matured and we found a way in in building our own ARM chip with graviton where we think we can allow customers to run a lot of their scale out generalize were close but up to 45 percent less expensively and so when you find a value proposition that compelling for customers you need to do it and you know as I mentioned in the keynote yesterday when we were talking about inference we feel like a lot of the world has been solvent for training and not solvent as much for inference yet and we've made training so much easier with the things that we've built in AWS over the last couple years but inferences where most of the cost is gonna be and so elastic inference we think it you know will allow people to be much more efficient in how they use them for use and how they spend money but when you've got the type of workloads at scale and productions that use whole GPUs or that need that low latency where you need it on the hardware of a chip that's optimized for inference they is faster that's more cost effective that's high throughput we can get hundreds of tops on it and thousands to you ban them together he's gonna totally change the game for imprison and so that was something that wasn't easy for us to find elsewhere and when we have team fortunately they could build it and it's the combination of the elastic service of inference with the chip that makes the difference it specialism there so it's not like I mean you can use each on their own and we expect they'll be a bunch of customers who will use each on their own but there will be an opportunity to use those in combination that will be very powerful it comes down to really deeply understanding the customer problem again at night training versus inference and everybody talks about the training right the the technical challenge you got a child is the internet and tells gonna make a lot of money as it stands expanding market banding so they'll get their share the chips get taped out their con a couple year to three year life cycles and everything starts anew every time somebody's building a new chip so I think it's actually great for customers of all sorts that there's multiple processors that are possible but we will have a deep relationship with Intel forever I think so I want to talk about one of the cool demos you did on stage not a lot you did customer did f1 that was a super cool I love that imagery because it said an analogy of high performance competitive racing that can be applied to this play sports anything and the level of accuracy that they need in the real time time series kind of encapsulates a lot of the cloud value talk about the f1 analytic thing are you guys gonna sponsor these events there's a relationship there give us what the picture of what's going on there you have a deep relationship with Formula One where they're using our platform to to do their all their digital properties as well as their analytics and machine learning and it was super cool to see Ross demo the way that they're changing the user experience for for viewers and you know it's it's it's an amazing sport you know it's not watched as much maybe in the US but outside the US that is the motorsport and the way that they're changing the experience the way that they're able to assess what's happening with drivers and with cars and then predict what's actually happening and make the viewer feel like they're actually either in the cockpit or actually in the pit itself with it with the crew is it's really exciting and it's non err to be a partner so you do some events they'll get the cube they're these these big time again there's a tech angle now and everything it's a plug for you to be at the they have one event cloud demócrata you're hitting now new industries I mean this is the thing right I mean it's disrupting every industry I mean what aren't you disrupting I mean what areas do you see that yet aren't coming online to the cloud I don't see industry segments at this point that aren't moving to the cloud I would have told you 18 to 24 months ago that I felt like financial services was moving a lot more slowly than then I thought they should or you know probably healthcare also was a little bit slower but both of those industry segments are moving very aggressively well it's taking longer they're high-risk industries and the digital transformation has it occurred fast enough but it's coming and there's regulatory pieces that they legitimately have to sort through and you know we have just if you look at financial services as an example we have a pretty significant team that does nothing but work with our partners to help them with the regulatory bodies because what we find is when we go with a customer to a regulator and show them a real use case and then how it will be done in a DOP is the regulator says oh well that's more secure that you do on-premises and so it's just an education process and you know I think that's been helpful in it and I'll get final questions for you what have you observed here at reinvent Houston glad people talking so you get a lot of feedback actually to clopped two-part question because I was asked the final final question so I'll just get it out front what are people missing of all the announcements you've had a lot of signal in there a lot of a lot of announcements what are what is something that you've observed that you think should be amplified that people might have not overlooked but like you feel like it's more important to sign the light on we'll start with that one well you know it's a little hard for me to tell this moment just because there have been so many in such a short amount of time and and if we just look a little bit at the coverage it seems and if I take just as inputs they comments and and the questions from customers it's been pretty broadly understood and people are pretty excited and as I said different segments have kind of their favorite areas but I feel like people are pretty excited by the breadth of capabilities you know I think that if I pick two in particular I would say that people are still in the machine learning space people are blown away by how much we provided are all three layers of the stack I think people are still getting their heads around which layer of the stack am I gonna participate at you know I mean the one that probably has the most potential for most companies is that middle layer because most companies have gobs of data and there are jewels in that data and if you can enable their developers their everyday developers to be able to build models and get at the predictive value and add value that has huge impact for companies moving forward but most modern companies with technology functions will use all three layers of the stack and so just getting their arms around which layers of the stack they should take advantage of first and having the personnel to be able to do it and we're making that much easier with things like sage maker and then you know I think if you look at the blockchain space I think that that is just one of those spaces that has a huge amount of buzz people talk a lot about it exactly sure sometimes what they're gonna do but but I also think that a lot of people said to us that breaking those into those two real customer jobs to be done and then having a great solution that does each of those jobs really well is not only something that AWS does all the time that makes it easier for them but it also made it easier for a lot of them to understand that a lot of customers said to us you know that qld be that ledger database with a single trust of central authority for my supply chain that's what I need for my supply chain I don't need all the complexity of a blockchain framework and then there were a lot of other people said oh yeah that is what I want I wanted to decentralize trust between peers but I just needed a way easier way to manage hyper ledger fabric and etherium so I think those are two that people like are so interested and still figuring out how to use as expansively as I think they hope they will Andy thanks so much for your time and I want to just say watching you guys in the past six years has been a fun journey together but watching the execution you guys have done an amazing job of keeping your eye on the ball and being humble but being proud and loud at the same time so congratulations and you know guns blaring in 2019 what's your top pray all right besides listening to the customers what's your top 20 19 we know you listen to cut oh my gosh we have so many things that we're doing in 2019 but you know we have a lot of delivery in front and in front of us I mean as much as we launched 140 unique things over the last six to eight business days and yet I tell you to stay tuned the rest of 2018 we have more coming and then in nineteen you'll you should expect to see more few capabilities more database capabilities more machine learning capabilities more analytics capability look a lot I could spend all night John we don't need it we don't need a post reinvent post you know traumatic announcements syndrome because just to digest it all yeah it's a lot of work looking forward to seeing how enterprises continue to make to to kind of manage their hybrid approach as they're as they're making this trend transition from on-premises to the cloud how many continue to jump on to VMware cloud an AWS how many jump onto outpost so I think that that transition and helping customers do that easily is something on here of course we'll be commentating and pontificating on that for the next year thanks for your time I really should have me and I appreciate that you guys come at regular pay our pleasure okay winding down that's the last interview here wall to wall covers two cents 110 interviews in the books we'll have 500 video assets total blog post on Sylvia angle calm that's reinvent closing down 2018 thanks for watching [Music]

live from Las Vegas it's the cube covering AWS reinvent 2018 brought to you by Amazon Web Services Intel and their ecosystem partners welcome back to Las Vegas everybody I'm Dave Villeneuve my co-host David Flair you want to the cube the leader in live tech coverage this is our third day of coverage at AWS reinvent 2018 our sixth year covering this event that keeps getting bigger and bigger Dave at 53,000 people amazing place is still jam we still barely have our voices 18 Cockroft is here he's a vice president of cloud architecture and strategy very well known in the industry q Balam thanks so much for coming back on thank you yeah it's the I've been to all of the reinvents we've been far as the customer and then we've been off of one but we watched remotely and hung on every word you know back when there wasn't a lot of information about a DMS now it's like too much information to process it's gonna take us months to sort through it all but at any rate it's it's a phenomenal opportunity for us to to learn to share to inspire folks and you do with some great work talk a little bit about you know some of the fun stuff you're working on and in your current role yeah I have a few different things I do one is one part of my role as I go around the world giving keynotes AWS summits but mostly I call it doing one of Ogle's impressions his deck and I get to presented around the world so we have to digest all of this stuff into a 90-minute deck that we can take to around the world that's a you know what do you leave out there's some it's it's harder and harder every year so that's a lot of fun but the team that I run for AWS I mean recruiting and running is around open-source right and we do we sponsor various events we members of various foundations we make contributions to projects and have been helping that by hiring people from the open-source communities into AWS to help help some of the edge over service teams with their launches of open-source related projects so what I've got what's been happening this year is had like a hundred blog posts related to open source lots of tweets lots of activity lots of events like ask on all things open in coupe car so be there in a couple of weeks exciting to you guys probably again but this week there are a few of the launches where we got quite deeply involved we did a blog posts on the open source blog most at the same time as Jeff fires okay here's the service and here's the open source part of it this is how you contribute and this is what's going on so we've had some fun with that so but it was it two years ago when we first met you've just been on the job for about a month about that particular time and you laid out what you wanted to do in terms of from your previous experience about how you wanted to turn AWS into a an open-source contributor how would you rate yourself in two years I think we've made some good progress really made me a AWS was making contributions to open source but had nobody talking about it and nobody know it was nobody's job to go out and explain what we were doing so that what part of the problem two years ago it was actually more happening so most people knew about but we were just not telling the story and it said it wasn't coming across well and the culture and the culture I mean it was spotty like some parts of AWS were doing a lot of open source other parts we're kind of not really seeing it as a priority so by talking a lot more about it we kind of get a more uniform acceptance across AWC huge organized just there but Amazon as a whole we are actually telling that story the story a much broader story than just AWS and be able to bring that and get everyone go oh this i see everyone doing it so i should be doing that so it helps create the the the leadership for more teams to follow and what we've seen in with you know really the first year building the team the last year kind of getting the content flowing and getting the processes kind of working to get all the all of the different events and blog posts and out the outbound part grips getting increasing number of contributions and launches so now Corrado was a few weeks ago so it you need us launch but that was that was an example that was it's a lot a lot happened from my team from Aaron Gupta my team his a Java champion he used to be at Sun he was a worked at Red Hat on J bar so he's like he knows everybody in Java has great credibility across the Java community and he said we should launch this product in Belgium at like midnight or so you know West Coast time and let's fly in James Gosling and like to a secret like get him on stage without anyone knowing he's gonna do it and do the introduction so it's like this totally crazy idea and it came off beautifully and we even had the the you know the Oracle Java people saying nice things about it the contributions to open JDK just just a really nice example of figuring it out all that get everybody on board get everything done right and then say here's something that matters to the community that we can contribute it'll show up on the rooftop complete thanks the star power thing but mincing James to do it was a right around a lot of credit for that that particular launch but you know this is the kind of people I have on my team and we're like we're pulling them in and pointing them at okay can you help this team figure out how to take this open-source project to market now I mean that was a major contribution to the open-source community and it was just in time wasn't it but another slight view would might be that you and Oracle should have been working this out until not leaving it until the last minute but I mean we were doing this work anyway right okay we're effectively self-supporting our own version of Java or internally we were getting better performance and better sooner bug fixes on open JDK so it made a decision to just move to the open JDK dream and we were just unhooking our internal use of the of the other the other options we have home mix you know a very large organization along for you acquire lots of different versions and flavors of Java you notice this one language so we like clean it up let's get JDK 8 and 10 we're self supporting it and then we announce to our cave will support our Amazon Linux version right and the final step was like the customers were saying please just like supportive on my laptop and anywhere else I need it and the thing we didn't announce then we didn't make a big thing out and arm support we didn't we kind of it was in there by default we didn't talk about it because the ARM chips came out this week so hey and part of it was also have exactly the same version of Java now on all of the Amazon Linux is even the the Intel AMD and arm so that helps the compatibility for people kind of going well it's a different processor architectures ties together so it was all part of the thinking if you didn't want to tip your hand on the announcement this young is right ok so I think sometimes a AWS is misunderstood partly from its own doing I mean you just mentioned you contribute a lot to open-source but you never talked about it generally when AWS doesn't have something to say they don't say a lot about it so others are left to you know make the narrative you come on you've now got an open-source agenda can you just sort of summarize what that motivation is and what the objectives are well we have you know lots of different pieces of this but you have service teams saying I'm gonna launch this product and there's an open source component to it can you help and sometimes that means I hire someone in my team to specialize in that area sometimes it's just our consulting with the team we may know connecting them to the open-source community so that's one piece of it is having that if you think about CN CF in particular cloud native computing foundation that's got lots of projects if you think about the AWS service teams no one team really owns the scope of CN CF but my team has that ownership for CN CF as a whole we have the board seat position and we say ok we have the serval as people over here we've got some entertaining things over here there's some Linux kernel virtualization bits here we can reach out to lots of different teams across AWS but act as a central point where you have something about open-source you want to talk about with with AWS or Amazon even as a whole you can come to us and we'll find the right people and we'll help you make those connections so part of it is acting as an on-ramp for the sort of buffer between the internal the external concerns of the communities there's somewhere to go and partly just getting contributions out there and what we could gain criticized for not making enough contributions well we've been making more and we're making more and we'll just keep making more contributions until people give credit for it and that's that's the if you're like what's the strategy contribute more and then tell people point at it and hope the people like what we did and take the input no it's the customer driven thing right we're gonna do what our customers ask us to do and their customer community focus on the things we want to do and we've been contributing to spinnaker the the Netflix OSS project we made some serious contributions to that in the this year firecracker myths which talk about that a bit and the Robo maker that those are all areas where we've been working with firecracker is particularly interesting isn't it I mean that's a major contribution of improving the performance and capability of those micro VMs yeah can you talk about that a little bit yeah it's the baby it's interesting because it's a piece of software pretty much no one will ever see your use it's the thing you run on the bare metal but lets you run your container Dee that lets you run your container on top right well it's deep down in the guts of the system there's this piece of code but we we kind of there's a few reasons we're using it particularly in production now with its supporting some of our production use of Fargate and lambda there in the middle it's not a hundred centraal out but there's a good chunk of the capacity running on it and that's where it turns out to be useful and just to cook how long we have to get into this but if you think about a customer running a lambda function we would put create a VM with that lambda function in it if they wanted a second lambda function we put it alongside that one no the customer comes and we start a new VM for them and we start a lambda function in that VMs take a while to start up so you have cancer pre-made some sitting there waiting but these are big VMs and we're putting lots of little functions in them what what firecracker lets you do is start a separate micro VM for every function and safely put all of the customers on one machine so you start packing them in it's a much more efficient way to run your capacity our utilization of those machines supporting lambda is vastly higher than having a machine with a bunch of empty space in it that we're trying to weight running for running for the customer so it's that efficiency is the thing and then the speed of starting a VM it's a very it's a very cut-down VM so it's 125 milliseconds with just to start the VM which is incredibly fast when you think hey give me a VM on ec2 it's you know they're in kinda like 30 seconds to a few minutes like I get 12 terabyte VM takes a little while to boot up but you don't have to pay for it till it finished including my good things about these huge machines right how about Robo maker can you talk a little bit about that and it's important so a rubber makers interesting on the open source blog which we posted on Slate on Sunday night early on Monday morning I did an interview with Brian Goerke who's the founder of the open robotics foundation and what we've done there is it's kind of an extension of sage maker if you think about that being AI if you've got these eight where I can deploy an AI model what is the AI model I want to do it wants to read something from the real world and modified the real word so it's a read from a camera or at some of the sensor and then control motors and servos and that's what Robo maker does it wraps the intelligence you can build with sage maker with the robotic operating system that has actually a library of actuators and a library of algorithms control algorithms you've got little brain in the middle and you've got a new robot that does something and we had the the Robo racer low racing car to which where all of these things come together to make an old toy race car that we can drive around tracks which is a whole other topic we get into but what interviewed Brian on what is the history of Rose the robotic operating system where did it come from you know what is the hard thing about running in it turns out the hard thing with Rose wasn't building the robots it was simulating the robots and the simulators quite a CPU intensive job it's graphics intensive you got this virtual world you're running and VR worlds are quite intensive and getting that installed and running was the hard part so what what what robot maker is is that as the service it's this simulator is called gazebo just a funny name so gazebo as a service is the actual service that effectively were charging for with a free tier so you can play with it and then we charge you for the sort of simulation units like how much computing time you're using when the rest of it is all you know cloud9 for the front end and deployment of fleets of data to fleets the robots and updating them and managing them but they're interesting thing is this is getting into like the people that the field of the first robotic thing is high schools high school robotic competitions they're interested yeah universities are interested in a university solar so we kind of it's not just for commercial production robots it's the whole training thing we're getting into STEM education if kids like playing with robots it's like Center and we're pulling all this in so now you can go home and take these like the latest most advanced AI algorithms that used to have to be doing a PhD at Stanford to be playing with and play with your kid you know over Christmas and see what you can come up with really simplifying the whole software development side of that when you look at the Dean came in competitions we're just awesome yeah all the kids they could have gravitate to the hardware cuz they can touch the software was really hard and and and this is gonna I think take a new level is particularly enough and it's all open source yeah you can go yes oh you've got this robot there no no I pointed them somebody who's complaining that we'd done it and no it was some proprietary robot thingy with the toy cars and I pointed them at the github URL it's that you can go build this thing it's all open source you can put anything else you want on it but the robot cars robot has rolls on it the robotic operating system H maker Robo maker all combined together and they're off running races and having all having fun now you guys are both Formula one fans yeah and you guys have been having some you know profile of Formula One folks here you got the little the mini vehicle riff on that really open source but I have another like thing I'm doing on the site it turns out the over the last year or so we started looking for opportunities to do sports sponsorship with a particular focus on Europe and the rest of the world we had a few US sports where they I don't know something with balls I like I like sports with wheels so about the middle of last year like this June we announced the deal with Formula One which is a multi-part deal part of the deal was just take them to the cloud that they have some data centers stuff they were running at a space and their data center is like no they wanted to do a technology refresh so for all the reasons that everyone else is moving to cloud we moved the sports core infrastructure to cloud over some number of years right so that's a process for starting and part of that is the archive of all Formula One races it's a treasure trove like 67 years of archive of everything they've got all the videos were digitizing it we're gonna figure out what to do what you know we've got to process it to label everything anyway so that's one thing and then we went turned up it we all turned up at Silverstone in the UK at that race it was the week after the announcement and that race we have a do as logos turning up on the screen because another piece was sponsorship so we start sponsoring the core video feed that Formula One uses to the world and that's 500 million fans watch Formula One so now 500 million fans for the next few years they're going to see a dope race logos on screen around the analytical insights of what is going on in the sport the odd rear tires are overheating you went round a corner this fast here's the pit stop strategy so we brand advertising associate with a high-technology sport and analytical insights and that's why we did that deal and they get all of our technology AI a lot of help helping them migrate and then the third thing we did that I got involved with was I'd already done a few CIO summits at Formula One races along the way so I was kind of like trying to poke my way into this thing that was happening I'm not involved in sponsorship set up right so hang on if you've done that thing yet and then them so we decided to do some executive events around Formula one so we'll pick a few races we'll have some you know corporate hospitality like things but when you put a bunch of senior executives together for a few days they share they solve each other's problems and you just get out of the way and they know the people that have solved one problem will share it with the other so it's a really it's like a tiny reinvent right here everyone is sharing if you sit next to someone what problem have you sold you can find stuff out so this is a concentrated version of that and we retired it in Monza earlier this year went great amazing I mean it's fun and it you know next to the business so it finally was like can we get someone on the car on Reba okay who's in Abu Dhabi on Saturday can we get them on Sunday night for the launch for the robot slut no this is like top guy in Formula One got here from Abu Dhabi if by Wednesday morning I'm just happy that they got here yeah that was that was a huge tire cube team we've watched your career you've been somebody who you know shares his knowledge and done some great work so thank you so much for coming back in the cube like that congratulations on all your great work Andy Jesse's coming up next we're excited about that keeper right to everybody we'll be back with our next guest Andy Jesse CEO of AWS right - this short break [Music]

live from Las Vegas it's the cube covering AWS reinvent 2018 brought to you by Amazon Web Services Intel and their ecosystem partners welcome back everyone to the cubes live coverage of AWS reinvent here at the Venetian in Las Vegas I'm your host Rebecca night along with my co-host Dave Volante Rebecca we work together this week and I'm excited for our next guest he is an esteemed cube alum Harish Venkat vice president global sales enablement and marketing at Veritas technologies welcome back to the Q thank you very much thank you see you Gary good to see you David so you've been to this is not your first rodeo you know many AWS reinvents what are you hearing what what are you hearing on the ground from your customers what trends are you seeing what most excites you yeah first of all that's great to be part of reinvent you know love the buzz here it's very electrifying and we're very happy about our partnership with AWS and we're very happy about the sponsorship for reinvent as well if there are any skeptics out there who's still thinking cloud is still a fashion statement they really need to reassess their statement because proud is in full effect for both computer and storage the other trend that I'm seeing is globalization is in full effect ideas are flowing swiftly and freely through the borders and then when you think about technology technology is very exciting the global GDP is what about 79 trillion IT spend about four trillion but it's interesting to see the four trillion sort of fueling the growth for the 79 trillion I also think AI machine learning deep learning all of this is going to reshape not only the software industry but I think it's going to reshape the way we live our lives and the last thing I'll say is data hands down as the new currency for enterprise right exactly we keep hearing this data is the new oil data is the it is the currency it's even more valuable I got our take on this okay so I can take a quarter oil and/or a gallon oil I can put it in my house or I can put it in my car I can't do both with that same resource data it doesn't follow the laws of scarcity I can use that same data from multiple use cases so by premises it's more valuable than oil what do you think I think the versatility of data is not the same as oil oil has very limited purpose and I think it's important and we are all dependent on it but data is so meaningful the amount of insights you can get it provides you a competitive edge in the industry it is unbeatable so yeah oil not say mono reefs I've had the pleasure of doing a couple of Veritas solution days yes I did Veritas vision last year you guys have broken that up into multiple cities this year I did New York and Chicago just at ease with the last 30 to 45 days yeah had some great conversations with customers some Veritas execs the conversation was obviously heavy kool-aid injection of Veritas technology your roadmap your vision really really detailed stuff obviously a cloud was a piece of that the conversations here I'm sure a much more cloud oriented now can you talk about the discussions that you're having the focus that you have on cloud generally in AWS specifically yeah sure look I mean data is growing year over year and and customers are still trying to figure out how to manage the data how am I going to work out the economics of this by leveraging cloud and this is not an easy equation to solve by no means and this is where Veritas and cloud service providers like AWS are really taking the market leadership role and then figuring out how do we leverage the entire data landscape if you will so before you even think of cloud the first thing you want to know is where does my data reside and what type of data do I have so Veritas is able to provide that visibility of data classification of data we provide immense amount of deduplication ratio which helps with the economics of this ratio this equation so I think we provide an end to solution from visibility classification deduplication even helping new application and data to the cloud and the partnership with AWS is really enabling customers to solve that conundrum that you're talking so I want to double click on this you know so as a as a as a person who understands backup and recovery deeply as a working for a company that's that's their business and of course you're extending beyond backup and I understand that but you know snapshots replication that's not backup in recovery so when I see something like outpost outpost is this on Prem infrastructure appliance that AWS is bringing as part of its hybrid strategy I want to know how is that gonna be protected now of course they'll talk about the way in which they protect it but a company like yours has a different philosophy your recovery is everything the whole data management approach how do you guys think about data management and data protection you know beyond snapshots or beyond just replication can you explain that yeah so I think the best way to explain that would be to talk about a customer use case great and while several customers come to mind I want to talk about see IMC I think it's a perfect embodiment of all the business use cases that we've been discussing so far ok see IMC is China International Marine container and they've been in business since 1980 you know employ about 51,000 based out of Shenzhen in in in China and they started their digital transformation in 2017 and what they're trying to do is really achieve three things one move all of their business application to the cloud starting with their strategic ERP in this case it was s AP and s AP Hana and the other thing is because they've been around since 1980s a lot of their processes are outdated it's very manual and they had a lot of dependency on tape as part of their backup and recovery so they want to modernize but they want to modernize that piece of it and then the last thing is they wanted a state-of-the-art disaster recovery which is also required by the local compliance laws in China where it doesn't matter where your business application is running they needed a copy of data on Prem so they evaluated all the different vendors market and clearly they chose Veritas as well as AWS to solve that business problem why why did they choose you guys yeah so you know obviously Veritas is number one in data protection 15 years in a row we got more than 50 thousand customers 96 percent of Fortune 100 trust their data with us but more importantly I think it's the partnership with AWS that really helped solve this problem and let me tell you how they did it I think that's important so the first thing they did is they launched an instance of net backup in AWS you know gone are the days where you're completely dependent on purpose-built appliance people are switching over to virtual appliance and they were able to do that by the partnership with Veritas and AWS so an instance in AWS leveraging s3 for the immediate server two days after the data they moved on s3 data over to s3 ia and eventually to glacier you know obviously Andy Jessee has been talking quite a bit in terms of increased throughput from s3 to glacier which is going to help this cause and then when you when you think about how customers are dealing with the transition to the cloud not everyone's ever going to move there all of their application to the cloud it's going to be a journey with time but what that creates in a customer environment is you got critical data in the cloud critical data on prem and they're looking at one data protection solution for both on prem and cloud and this is where Veritas net back really comes and that backup really comes in well I want to ask a little bit about that journey because as you said they don't have everything in the cloud so how has Veritas and any available AWS this sort of three-way partnership how are you how does that work I mean our user hand-holding them are you is it a co-creative process can you can you riff on that a little bit yeah sure so you know just like any of their lines we start off with the technical alliance we want to make sure that whatever use case that we're going to the market and all of those use cases are really coming from customers we understand customer challenges we work with different companies and cloud service providers in this case AWS to make sure that the solution that we take to the market is complete there's absolutely no hiccups we got professional services to help them to mitigate the risk factors and to considerations that most customers are thinking about one is costs another one is performance and thanks to net backup a IR or auto image replicator you know we are able to take a 2/3 of the network bandwidth out so you can achieve all of that performance with one third the network we got incredible deduplication ratio the storage cost as a result as 50 times less than what you would get and so back to the to consideration factor performance and cost we're able to do that in collaboration with AWS so I wonder we could talk about multi cloud or poly cloud as we sometimes call it so you can infer from listening to AWS that it really is better off having a one cloud strategy but as we know oh you say you talk to customers there's no one customer cloud strategy the customers are made up of there's like the government there's multiple constituencies in the company and shadow IT and so there's multi clouds you don't care whether it's one cloud a moment about you're there to protect it but I'm interested in what years you're seeing so what are you seeing and how are you because we we know it's not more than it's more than just one it's not just on Prem in one cloud how are you approaching that problem talk about customers and what their kind of roadmap looks like in their strategic plans and where you fit yeah so back to your point I don't think we'll ever see just one cloud the dependency on just one cloud is not happening we're seeing multiple clouds we're seeing hybrid clouds obviously you know Azure stack is coming up with their own version and so is AWS and in a customer's environment you are seeing that now there's also talks about are we going to see cloud to cloud movement cloud to cloud disaster recovery I am not seeing that at all I think the economics of cloud to cloud move over our failover is just too expensive so I think we're still seeing physical to cloud cloud back to physical and then one physical to another cloud I don't see a whole lot of cloud movement so where Veritas really comes in as our ability to provide that disaster recovery both from physical to physical protect your data in the same assured way on Prem as well as the cloud allowing you to leverage the cloud as a disaster recovery mechanism in fact I was having breakfast with Bell media this morning and they have two sides in Canada that they're using disaster recovery and they're wanting to leverage cloud and he's super excited about net backup eight one two cloud catalyst you know ability to leverage cloud as the disaster recovery and with our VRP was just Veritas resiliency platform to achieve that so a culmination of all of that hopefully answers their question absolutely and I think that's right on you had referenced earlier in your commentary Harish that you see some major changes coming for the software industry and we were we were talking to Jerry Chen the other day from Greylock in a really sharp former VMware now he's you know VC so he sees a lot of stuff and he put forth the premise that everything's changing in software development as a software company I wonder if you could you could comment that Amazon is essentially giving all these this tooling to create new software apps but as a software player how do you guys look at that how are you modernizing you know your platform and what do you see is the outcome yeah so you know it's interesting you talked about VSD in New York obviously and I spoke about it and when I talked about two things over there which was really ease of use and simplicity and and that's really where the customers are gravitating we have to make sure that any platform in the software industry has the 3.click to value mantra built in you can't be having the green screens anymore so Veritas has taken the same approach we're really looking at ease of use and simplicity and three clicks to value so that's a big trend you know I talked about AI and machine learning and deep learning you know gone are the days where everyone is reacting to something now it's all predictive analytics how do I garner more information so we're building AI and machine learning into our platform where if there's an outage we're going to tell you beforehand some of the reasons before or beforehand into some of the reasons behind it and that way you can address it and not be a subject to a reactive catastrophe so I think those are two big things that I'm seeing in the software-defined storage and the second thing is just an overall ecosystem right so it's not just about standalone value but how do you collaborate with the rest of the software providers to build a bigger and better solutions as an example our relationship with AWS is speaking very highly of that we're solving bigger and better problems as a result of this we just announced our alliance with pure storage with their data hub architecture we're able to do you know data protection with IOT s which is again another trend in the marketplace where we can share protect and collaborate with pure data as well well let's talk with the edge in terms of data protection for the edge how'd how does the edge IOT how does that affect customers data protection strategies and what's Veritas is angle there yeah so you know I mentioned this in in Microsoft ignite because Satya had mentioned this in his keynote saying that the edge computing there's a lot of proliferation around that and it's not just a compute fact because a lot of data has been generated in that too so how do you make sense of all of that data how do you which ones do you protect which ones do discard so Veritas has that solution which allows you to sift through all of that data figure out which one's important classify that and then help you provide data protection for the edge computing I'm thinking about yesterday's keynote with Andy Jesse a dizzying number of announcements of new products and services new innovations and it's and this is really de rigueur at an AWS reinvent is this is this pace sustainable I mean this this constant innovation I mean is that sustainable what are you you know it's interesting you asked me that question because it's the same concept of is Moore's lot going to be sustainable right so far we're seeing that it is and as a result you're seeing all these madness around innovation you know driverless cars and you know journey to the another planet in a I and and ml and full effect and all of this is going to reshape our future so far I'm not seeing any signs of slowing down as long as Moore's law is going to keep up with its multiplier effect I think we'll see better better lifestyle and more and more innovation just the amount of patents that we're seeing with new startups it's just off the charts so I'm a big proponent of innovation and I think this will this will continue going on well I think if I could comment I think Moore's Law in many ways was was one-dimensional I mean you had the doubling of you know performance every 18 months whatever it is now you have this multi-dimensional innovation combination Moore's Law fine but you've got data you've got machine intelligence applied to that data and you've got the cloud at scale so this you have this combinatorial effect that has multiplicative effects on innovation so that our argument is the curve is actually bending you know into a nonlinear and it's mind-boggling there's big pace of innovation you certainly see that here from from Amazon it seems to be accelerating and it's it's underscored by the number of announcements that this company is making others trying to keep pace them forcing their customers to keep pace it's him it actually feels like it's it's speeding up not decelerating without a doubt and I think it depends on the type of company you're talking about if you're a startup company you know and have any of the legacy things that you're talking about you're spending all of your IT spent on innovation you look at a classy IT spend equation 85% of it just to keep the lights on and less than 10% on innovation I think that is mind-boggling to me and that's why some of these new startups are constantly challenging you know fortune 500 companies whose lifespan used to be 65 years but now at 16 years and it's constantly getting down because of this effect as well and I think that's a great point if if you're stuck in that 85% technical debt world and you don't allocate enough for innovation yeah it's it's going to be problematic and so what we see is customers looking at it as a portfolio we got run the business we have grow the business we have transformed the business we're going to deliberately allocate cash to each of those and hopefully bet on the right things yeah not a doubt I mean look at the at the end of it as a result of all these different phenomenons that we're talking about it is good for consumers because they're looking at more and more options better technology and those sort of fierce competition is always good for everyone as consumers as well as enterprise great well Harish thank you so much for coming on the cables my pleasure I'm Rebekah night for DES Volante we will have more of the cubes the live coverage of AWS re-invent coming up in just a little bit [Music]

live from Las Vegas it's the cube covering AWS reinvent 2018 brought to you by Amazon Web Services Intel and their ecosystem partners everyone welcome back to the cube day two of three days of wall-to-wall coverage here in Las Vegas for AWS Amazon Web Services reinvent 2018 start sixth year covering I was only meeting to all the reinvents except for the original one I'm John for a mykos David Lunz we got two sets here and set one we got another set over there's so much content set upstairs total of four sets here covering all the video covers and right now we're coming off the keynote with Andy Jesse full of action packed analysis Dave a pretty amazing set of keynotes they had so many announcements here at ABS they had to basically start releasing them they did media alerts before the show midnight madness just a lot of front-end releases that would be notable releases for any other other conference they're letting out early Andy Jesse only has two hours on stage he's giving the keynote finishing up huge amounts of news announcements Dave so you know you went to the analyst session I met with any Jesse last Monday night for the preview we've been following Amazon a lot of the stuff that we've been saying for the past multiple years is actually happening our original predictions and impact of a toes of business on the IT landscape is happened and happening and now new areas that they're focused on that extends their a leadership both technology and the business and on the business model side continue to come on they well yesterday launched as a preview satellites as a service you actually stand up some satellites which is the power of the IOT has so many implications so many things to talk about through the course of today a lot of interviews we're gonna have again day two let's analyze Andy's keynote and the company what's your take their business is strong their lead a lot of analysts are fooled by the numbers you're not we've been watching it huge number of lead in the cloud I think the first thing I want to say is I go to Silicon angle calm I read you're both of your pieces that are up there your piece on Forbes this is a preview and then the the number of announcements here is just overwhelming last two days at the analyst event they gave us previews of sixty-two announcements and that's only a partial list of the announcement 62 that they took us through it was like rapid-fire kool-aid injection unbelievable so silicon Hangul comm is covering as much of that as physically possible any chassis made a big point this morning and at the private analyst meeting of talking about the context of the cloud market he's very sensitive to people misinterpreting growth there are 26 27 billion dollar business exclusively focused on infrastructure as a service and they're totally transparent about the size of that business everybody else throws in SAS I mean you've made this point a bunch of times and all these other things they mix in hosting and you really can't tell what's what despite that Amazon is by far the leader infrastructure as a service with over 50% of the marketplace now they're only growing at 46% but there are 26 27 billion-dollar run rate business growing at 46% so you see sometimes like Microsoft growing it whatever 70% but they're much much smaller so the absolute number in terms of revenue growth is much much higher for Amazon so that's sort of point number one the thing that Jesse doesn't talk about is the profitability of the business they're transparent about it in their financials Amazon has 28 percent operating margins now just to put that in the context software companies like Oracle have 37 percent operating margins Microsoft 32 percent AWS I just mentioned 28 percent Cisco 25 percent VMware as a software companies with 22 percent operating margins IBM 15 percent Dell eight point seven percent HPE seven percent this underscores the power of the AWS model at scale where they're driving the marginal cost of new services and deploying new services down to zero and it just keeps getting stronger and stronger and stronger and as a great point as a flywheel effect totally Amazon like but it's a great point ago we've been saying it for a long time the competitive advantage is scale and speed and jessee's now adopting that into his rhetoric into his into his narrative totally true and the other thing to point out on that margin and the profitability is that they're plowing it back in so what what you have at scale I wrote this in my Forbes post and in space at all in Silicon angle transcripts are my my exclusive interview with Andy is that not only are they profitable so they have software like margins for what is what is a hardware business basically in the cloud the stack and in Iraq on their own servers they're making their own chips as they start getting the scale up Dave they are getting a competitive advantage I'm following the profitability back in to launch new services so as the trajectory and I kind of tease this out in my Forbes article I wrote which is as you have a trajectory of growth they're building on that trajectory and the competition is trying to copy Amazon and you can't you can't get the trajectory value by trying to meet Amazon's current trajectory that's called diseconomies of scale I teach you that in business school this economies of scales it's the unsub optimized execution model where you run you don't have the learning experience that you don't have the scale Amazon has that trajectory and as people try to match them they will lose and they're at risk of losing because the risk so the only play for the competition in my opinion like Google like Microsoft like others is to change the goalposts they got to change the playing field on Amazon this is the number one thing that the industry is looking at Amazon is making the market they continue to make the market as market makers that's gonna attract an ecosystem that's gonna attract value and and more companies the only competitive strike that I think one could make is to change the playing field they got to change the game on Amazon that is extremely difficult to do when you're operating at scale you got the profitability numbers you talked about so again that is the new bar and as Amazon I'm we've said this every year ever and every year they've done it they've doubled their aurora customers on the database lied every year they introduced more services last year they in 2018 they'll have introduced significantly new services and the number of eighteen hundred plus okay the year before is like fourteen hundred next year we're probably higher by introducing new services faster that keeps the pace and that's what's hard to copy it's hard for competition to try to match that and as they try to match it they have the diseconomies of scale this is a major advantage this is going to give Amazon customers a comfort because they know that that's that scale becomes more stable products becomes stable the flywheel kicks in and as data gets into the cloud it gets sticky so there's no real lock in spec you can move every in and out of Amazon all you want but why would you because the benefits of being in Amazon far outweigh benefits of actually doing anything else so again the lock-in spec doesn't exist anymore from a technology feature standpoint it's a lock in spec on business model oh it's better well and I want to add something some color to what you said about the the new services and the pace of innovation their services of substance and we know this because our developers you know they talked to us about Amazon Andy Jesse told the story about one of his his executives that was on a plane leaving Seattle he didn't mention Microsoft but clearly he was talking about Microsoft that somebody's laptop was up the PowerPoint presentation it said their strategies explicitly said just announce what Amazon announces don't worry about the functionality and and what so what Amazon what Microsoft is doing presumably it was Microsoft is basically saying check the box freeze the market we have that too so to your point competitors cannot compete with Amazon on pace of innovation no way what they have to do is in the case of Microsoft they have to rely on their software estate in the case of Google you know they've got their innovations ok fine but nobody can match Amazon head-to-head don't just lose every time I like Google's position I love I love Google's got the technology power but you're exactly right that competitive strategy of checking the boxes is an old way of competing and I think what's interesting is the competition has not yet woke up to the fact that the game has already changed on them look at the public sector work that Teresa Collins done the CIA deal really made Amazon a business model because people said hey the CIA could do it we could do it that's been that's come up in all my conversations across all Amazon executives but what's happening now the DoD isn't the only soul source or that's Oracle's business they try to compete I'm checking the boxes but because it's so easy to use the cloud and Andy talked about this as keynote is that you can't fake it till you make it hey you can't you got it you have the surge it's gotta be up and running so it's very easy to do a bake off so you know that it's so that whole way of competing of checking the boxes over the only way to compete is have value and that is a new flywheel that's what's happening right now and that's key so so let me set it up so when you get to reinvent I mean I'm so psyched to be here with you John it's been a while but but try that you try to absorb all the innovation so you so try to boil it down you got to look at it it to simplify it two dimensions one is the data exploiting data better use out of data and the other is developers and developer tools and making it simpler for developers their announcements the 60-plus announcement that they made I break them down into five categories storage and database services compute networking and security third is ease of use and abstractions making things simpler fourth is machine learning and developer tools and the fifth is these new growth frontiers like you mentioned satellite as a service and some other things like in hybrid that we're going to talk about so the announcements kind of fit into that framework but let's maybe highlight some of the announcement a lot of time at least just run down the announcements real quick to meet the main main ones at the place he started the bottom of the stack and move it has moved up storage deep glacier FX Windows file systems lustre for high-performance workloads the new persona developer he call it the Builder the right tool for the right job this is a constant refrain he's been saying control tower blueprints and guardrails template based approach to stand up new use cases for compliance all the kind of detailed manual things that they're automating signal from the noise I love that phrase he put on this put on the big screen that's our motto here it's looking angle security hub lake formation instant data lakes he kind of was pooh-poohing data Lake which I love them like oh shit it'll is just one piece of freedom around databases so one storage was a huge part of the innovation and they're expanding that front and compute and storage it's gonna be critical the database war is definitely happening open engines Aurora doubling customers DynamoDB runtime capacity on demand sensors and time series dais they have timestream block chaining address that straight up look at weekly we'd love blockchain if the customers wanted we're gonna look at and understand it then announce that they announced the quantum ledger database ql DB amazon manage blockchain service so you want etherium or hyper ledger got it and then he moved on to Mitch from databases to machine learning this is where sage maker comes in so you got s3 and ec2 that the pillars you got Aurora that's the key product and then sage making the other key product at the top of stack sets the tone for all these abstractions the machine learning trends tensorflow if you want to use it no problem we'll optimize it Amazon inference engine so elastic inferences blatant see they got a chip inference chip in inferential inferential so you put it the chip and the elasticity service together you have a powerful combination that comes out of the Annapurna acquisition from 2015 building and tuning and managing machine learning apps is gonna be a control area they're gonna add value on and the insights coming from this and marketplace capability so and then on and on and finally the Amazon on premise stack which is gonna be called outpost is the final nail of the coffin behind the strategy because think about it you're gonna put Amazon on premise with a hardware device that's gonna connect with the cloud with all the innovation and this is what amy jazzy talked about we're not just a software company we're hardware we're networking we're compute we're storage and we're software abstractions we're gonna bring that and put it in a device so we're gonna basically create a Amazon Cloud in a box search solution on premise to allow people to manage those Layton sees where network traffic is there this is not just a software only he's not gonna let people run their databases on their clouds it's the Amazon footprints I wanna make a comment about that I came in to reinvent with the with the statement that Amazon actually is winning in hybrid now they used to not talk about hybrid as you well know how can I make that statement when they don't really deliberately go after hybrid well the reason I made the statements cuz the entire ecosystem is connecting to Amazon s3 targets Direct Connect you've seen Amazon do things like snowball and VPC so now what Amazon is doing without post is they're putting the exact same hardware that Amazon uses in its data centers allowing customers to put that in their data centers the identical configuration control plane hardware etc that move is going to really even further extend yeah Amazon's lead and hybrid yeah and we're gonna have eme Jesse on Thursday day of coverage here we have Teresa Carlson on Andy Jessie all the topics David gave McCann you name all the AIG folks coming on as well we're gonna get into all this and extract the signal from all this signal out here of course RTS on VMware I forgot it the other way so there's so much this noise omus iot there IOT strategy is bottoms up and very very impressive gonna have Jerry Chen come on former VMware cloud guy now great little cray lakh venture capital partners over there he's gonna come on and analyze what's the only announcements we're gonna continue to tease out the announcement of course but a silicon angle comm check out all the news it's a tsunami of content coming out of reinvent totally game-changing days we're gonna wrap it up here we're gonna do more analysis so you'll see a bunch of videos on on our YouTube channel and stay tuned watching all week here for live coverage I'm chef Devaux want a stay with us we'll be right back [Music]

>> Live from Las Vegas, it's theCUBE covering AWS Reinvent 2018. Brought to you by Amazon Web Services, Intel and their ecosystem partners. >> And welcome to Las Vegas, we're in the Sands now for AWS re:Invent day one, here for all three days, Tuesday, Wednesday, Thursday, exclusive CUBE coverage here. I'm John Walls with Justin Warner and John Ferrier. Gentlemen, good to see you, it's been a while since we had the band together so it's good to be back. >> Well we can reinvent, everyone is going to run the marathon, it's a hard hitting show, it's the wall-to-wall coverage. Started with what they call Midnight Madness kind of played off March Madness. Sunday at midnight kicks off the show, they have a party that goes well into the evening, to get the launches out there. >> I don't want to ask where you were at that time. >> I was actually coming home from Phoenix, from a family trip but I'll be coming this year but this even, wall-to-wall coverage, here at The Cube, three days of live broadcast. It really kicked off yesterday, there's evening events, 52 000 people, it is packed, it feels like you're walking through Disneyland on the busiest day, really is crazy. A ton of networking, a lot of customers. This is Amazon's biggest show, it's really awesome and it's a great way to see the formation of the industry. So it really is the industry Super Bowl event as Dave (mumbles) says and watching how people form, how their posture is, what their messaging is and our job, we're going to split through that this week, we're going to extract from the messaging and the conversations, get the story, get to the truth, shortcut to the data and should be fun. >> Well, let's talk about the head coach here in AWS. You've had a chance to sit down with him recently. We'll hear the key note tomorrow morning but just give you a little sneak peak of what you think is coming from Mr Jassy and what do you think the message is that he wants to deliver? >> Well, we've been covering Amazon since its founding, or our founding eight years ago and seven years they started reInvent, eight years ago, we are seven years, this is our seventh year at reInvent. So we get to know Jassy So he invites me every year for a one-on-one. This year, I did it at his house. He's got a sport bar in his basement. Tricked out sports bar, great football game was on, Chiefs against the Chargers, we watched that, two and a half hours I spent with him really kind of getting a feel for what's on his mind. How he's thinking about the business because a lot of, he's having a lot of pinch-me moments where certainly they're winning, they're blowing away field in my opinion in cloud computing. I think there's really not even a close second place although Microsoft's got the chops, they're doing their gaming, Google's got the tech and they're repositioning, you know, how does he feel? He's humble as they come and he's got the management discipline, but he was really kind of saying to me, hey, great leaders are listening to customers and he was walking back his position on hybrid cloud because clearly they're going to make some big announcements here around hybrid cloud but I got insight into his mind and he's not done and these guys are not celebrating in the end zone, they're not high fiving each other, they've got a lot of work to do and still, people are not using the cloud like they really are in their mind. I think things like Lambda and the announcements we'll be expecting to see here today is going to set the stage for a new set of apps and I think there's going to be a renaissance of software development, they recognize it, they recognize that the competition's hotter, they recognize that they got to get better and raise the bar and that's what they're doing. They have a cadens to their management style that I think is historic in this era of leadership and the likes of all the Uber scandals, Facebook, the scandals of the management team of Facebook. No one trusts corporate America. Amazon's got this execution style that kind of reminds me back in the old days, Intel had or an HP back in the day. They actually kick ass as a management team. They're focused, they're not celebrating and they're clearly guns glaring. SO they're doing the work. I still think that they see the world as still competitive, there are things out there that I think scares them, although he didn't say CNCF directly but there's things out there forming that could dis-intermediate the greatness of AWS and that's just natural competition and his philosophy, Justin is, bring it on. >> Well, I was just in China funnily enough for CNCF Cube, CNCF club native con, Cube con. The first one that they held in China and it was amazing to see what the Chinese are actually doing. So we ear a lot over here in Europe and over here in the Western world. There's a lot of conversation about Amazon and Google and Microsoft, but you never hear the words Tencent or Alibaba, they don't come up a lot and yet what Alibaba and Tencent are doing over there is amazing so I think if we're thinking about the competition in a global sense, then certainly Amazon needs to be right onto of their game because yeah, we might have some stumbles from Google as we've seen and Microsoft, still a little bit behind the plan but if you look at globally and see what's happening over there in China, there's a lot that they should be worried about. >> Well, give me a such as. When you talk about Alibaba doing things that maybe aren't happening here, for example. >> There was some amazing stuff around our AI machine learning that they were doing around grid management of renewable energy and distribution around the entire country of China. So there are things that are possible in China that are not quite as easy to do over here in the West. It's a lot easier when you have one person in charge of all of the things and they can say, we're going to go and do that. It's a little bit more, there's a lot more negotiation required over this side. >> And you think too about China as the mobile penetration is higher there and they're very data centered. You look at the United States, even in the IT world. Dell, HP's, the Oracle's of the world, the old IT guard essentially had that data but now you got data on phones, with this proximity, you've got edge of the network. The data is going to live in a lot of places and in our legacy infrastructure and IT in North America, Dell doesn't have anything to do with my phone or HP, that's just service so the old way of storing data and where data lives and how data's being used is radically changing. >> Yeah, there's a lot of stuff happening at the edge. We have some presentations on wind farms. So you have compute lives in wind farms and they're actually sampling the air and finding out what the weather patterns are like, feeding that back into central systems and they're having to design systems that are able to be deployed, the same thing, cookie cutter all over the country, distributed around the place where you've got latency and communication issues, where you've got power distribution issues. So you have to think about the way you're deploying these infrastructure, completely differently than if you centralize in one cloud or even in a data center or you're running it yourself. So they're actually thinking about things in a layered sense. So it's not just one size fits all, it's actually we need sides, multiple different sizes to fit lots of different things. >> And what, I mean John you got off the phone with 5G on the horizon. I can only imagine the exponential explosion we're going to see in data coming in from sensors and IoT, you talk about edge and faster, more, where's all that going? >> So I got a little reporter's notebook here from my meeting with Jassy and also connecting the dots what's going to be announced. There's going to be an announcement today around 11 o'clock this morning around maybe Jassy announcing new connectivity option and what you're seeing is that Amazon recognizing that IoT at the edge, Internet of Things is sensors as wind farms so this IoT is about power and connectivity. Without power and connectivity, IoT doesn't really exist. SO these new kinds of internet infrastructure data devices that need computer, you got to have power, you got to have connectivity and they might not have the worst power on a safe phone, although this is a, plenty of power on there. You want to take advantage of bigger data sets. You've got to go back to the cloud. So the cloud is becoming the brain and that's what Andy Jassy said to me, he said the cloud is going to be the brains and the edge can be, use some processing, we're going to send compute there if we need it. We don't want to move data around because latency will kill. So we're expecting Amazon to announce new services around connectivity where you can stand up things like satellites as a service and that's what's going to be announced at 11 o'clock. I just got that out there so we'll see if that's confirmed or not. (John Walls laughs) Two hours early if you watch this, don't tweet this, I'll get in trouble. >> Is that cat out of the bag. I think yeah, go ahead. >> Well you know, it's a brief guess, I heard some rumbles in the hallway but we'll see what the details are but this is a new kind of progressive thinking, this is what I love about AWS and Jassy, they're not afraid to use their scale and power to push new capabilities, not just extract ranch from customers and by standing up connectivity, this is a weak link in the equation of IoT. There's a lot of things that need power and connectivity and if you have good processing power and compute at the edge, that's going to happen. So Andy's philosophy and Amazon's philosophy is consistent with Wikibon research and most analysts have discussed in this strand that you want to move compute to the edge, not move data back to the cloud. This is fundamentally the shift that's going on with services like Lambda, you can power up things in hundreds of milliseconds versus an instance of ten seconds. This is changing the software development paradigm. This is a tailwind, this is going to power new work loads so you see Amazon recognizing this, increasing power compute to the edge, offering connectivity ops where there isn't any. Making things faster with compute and then moving up the stack. This is going to be a big part of this show. We're expecting to see if Amazon is going to move up the stack. Aurora, Sagemaker and levels of services that they're going to allow developers, new kind of software development where truly the dream of (mumbles) of not knowing anything about the infrastructure could be realized. >> That is a pretty big shift for Amazon 'cause they've always been talking about themselves as undifferentiated heavy lifting as one of their analysts told me it some years ago. That was their idea, was that we're just going to be the utility service that is the one true way that you should use it and it will be ubiquitous in the same way that you have power as a utility, you rent it and you just use it and you build other things on top of that. So it's interesting that we're now starting to see that Amazon themselves are building things on top of what they've already created in the same way that S3 was build on top of EC2, so now we're seeing this layering effect of we built the underlying technologies and now we're going to start putting extra value technologies on top of that and that's where to start to see things like as a services, serverless Lambda being built on top of all this underlying stuff. We're going to start seeing some really interesting stuff coming form Amazon. >> I'd like to hear from you guys, you've talked about what you think AWS is going to talk about. What do you want them to talk about. What do you want to hear form them this week, whether it's a challenge they have to take on or whether it's about the competitive landscape what is it between the two of you that's you'd like to hear them address. >> I would like to hear their position on the software development paradigm around moving between clouds. I know they don't like the word multi-cloud, hybrid cloud's the word that they choose. They don't actually use the word multi-cloud, hybrid cloud is their word. They see the world in a very specific way which I don't disagree with. On premises with clouds, operations and seamless consistency around both, how that works and what is means for the customer is what I want to know. WHat's the switching cost involved, what's the benefit to customers, it's going to be a lock inspect. I want to hear about some of the migration stories, I want to hear them talk about migrations. I don't think migration to the cloud has been successful for Amazon as they had hoped. I think when you look at what's going on in the enterprise, legacy workloads that run payroll around mainframes, they're going to stay there and no-one's moving that to the cloud 'cause why would I want to rewrite that. So this is the interesting thing. So I want to hear them talk about how they're going to handle a workload that's on premises, that's legacy, that's part of a production mission critical application and how that's going to work with new services via APIs. Stable data, things of that nature. I want to hear how they're going to handle containers and Kubernetes, 'cause this is going to be the key linchpin between moving data and services via APIs and web services, this is the holy grail. They can address that in a clear way, I would be happy and I expect them to see them do things like put a VM container around containers. A lot of competitive strategy going on, so I'm trying to look for the chess moves on the board. Kubernetes and containers is a big one. >> The customer, in terms of helping customers, I would actually like to see, I think similarly, see Amazon relax we are the one true way message that they've been hammering pretty hard for a long, long time. If you do cloud, it has to be us and we're really the only the cloud that exist. That's caused a lot of issues inside particularly enterprise customers who have, as you say, they've got legacy applications, or we'd like to call them heritage applications. They work, they've been debugged, they're sold applications. Rewriting those adds a lot of risk and a lot of IT projects found, more than 50% of them fail. SO if you're going to say, oh you have to completely rewrite everything and take it all to serverless, if you're going to do anything cloud, that adds a huge amount of risk onto the IT portfolio. So for an enterprise, or anyone who's actually been a successful company already, not the new startups, I'd say yes, brand new, you can start green, field's awesome, but if you have any kind of successful company already, you need to have a migration part. You need to understand it's appropriate to put these things, net news should start in cloud, great. What about the stuff that we've already got that's debugged, how do I get that to talk to cloud and how do I not end up with a bifurcated organization where I've got this legacy stuff that sits in the cupboard which no-one want to touch and play with and I have everyone doing all the new shiny stuff over here and then I end up killing my business because I have no migration part. >> And one final thing and then we got to go wrap up and get started for the day. I want to see more on the net new work loads because I think that is going to be a key part. The application developers are going to be where the power source is. New breeded developer, classic IT experts emerging, changing to devops and kind of a new community, open source community kind of personas them all evolving. So development, of our environment changing with developer persona, IT experts are changing to devops and the role of open source communities, I want to see more of that. At the end of the day, I want to see how Amazon thinks and how their customers are working with their data. Because if they have that Heritage app or legacy or an edge or wherever, the data is going to be a critical design component for the next generation. So that's what I'm looking for, what's going on with the data and trying to survive the slew of announcements. >> Big data, big topics and we have 40 000 of our best friends here to share their knowledge with you. Well, we're not going to have all of them, but we're going to have a lot. Wall-to-wall coverage here, AWS re:Invent kicks off in just a few moments, you are watching The Cube live from Las Vegas. 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>> From the Aria resort in Las Vegas. It's the Cube! (upbeat music) Covering AWS Marketplace. Brought to you by Amazon Web Services. Hey, welcome back everybody. Jeff Frick here with the Cube. We're at AWS Reinvent 2018. I don't know how many people are here, 60 000, 70 000, your guess is as good as mine. I'm sure we'll get an official number shortly. We're kicking things of here. Three days of coverage. Monday, Tuesday, Wednesday, Thursday, that's four days. We're at the AWS Marketplace and Service Catalog Experience here at the Aria. We're excited to be kicking stuff of with Rajeev Dutt. He is making AI that makes AI. We're going to get into it. He is the CEO president and co-founder of DimensionalMechanics. Rajeev, great to see you. >> It's great to meet ya. >> How many Reinvents have you been to? >> This would actually be my second. >> You're second? >> My second. Yeah, it's like- it's- I always feel really energized after coming here. It's like- last year was like heavy AI centered. >> Right, right. >> It was just really all these sessions in AI was really exciting. >> Let's get in to it for the folks that aren't familiar with DimensionalMechanics. What are you guys all about? >> So DimensionalMechanics is about lowering the bar for entry like to most people. So that's kind of our first focus. Our second focus is to make sure that deployment strategies allow you to deploy across any end device. So it's basically intended to be a complete end-to-end capability. >> Around AI? >> Around AI. >> The Artificial Intelligence. >> The Artificial Intelligence. >> Yeah, yeah, yeah. >> Most important part. >> Okay. >> Yeah, so, it's about reducing the bar for entry for Artificial Intelligence so that anybody without even a machine learning background can build very sophisticated models on our platform. In sometimes as little as 14 lines of code. It's just incredibly easy. We've had high school students use us, we've had university professors, who have nothing to do with AI, use us without any problems. And, really the way we do that is that we have an AI that we call the Oracle. We are all Matrix fans. (Jeff laughs) And so what this- the Oracle does is it has a vast knowledge base, has a lot of additional machine learning components and things like that. That essentially allow it adapt and learn based on the kind of problem you're trying to solve. So, every time it solves the same problem, it gets better and better at what it's doing. >> So, so, um... Is it, is it libraries, is it pre-configured, are there specific type of application that it works better on? What's kind of your go to market? >> So basically, think about AI studio as a full server application. So it, what you essentially do- we created our own language called the NeoPulse Modeling language. And the NeoPulse Modeling language, think about it as sort of the SQL for Artificial Intelligence. It does a lot of very complicated things in just a couple of lines. So essentially what you do is you compile it on the machine so when you write the NML code, the NeoPulse Modeling language code. You compile it on the machine, it looks at your data which is sitting in a bucket. It starts training the model. Once the model is ready, you can export the model as a PIM object, so Portable Inference Model object which is one of our creations. And that allows you then to deploy it on to any end target as long as it's running on runtime. And on runtime can be basically sitting in the cloud or on a device. Sometimes we're also looking at right down to FPGA kind of device levels as well. So, extremely low power devices as well as cloud computing, but gives you that flexibility, but it also, which is really important, it makes AI accessible. So anybody without like any background in it- My wife is a radiologist and she's actually looking at using it for her own internal usage... >> And how much do you have to learn? You have to learn the NeoPulse language, right? >> The NML language is really easy to learn. So we had a high school student who spent about a week learning it and so a week later she was ready to start coding and she has built her first models using that. And the way it does that is that you actually, we have a keyword auto inside NML which is context aware, and so when the compiler sees auto it goes out to the Oracle and says hey, I've seen- this person needs help building an architecture or figuring out what function to use or what hyperparameters to use and so on and so on. And the Oracle will come back and say hey, use this architecture, use these hyperparameters, use these settings or functions or these optimizations in your model and... >> So is that doin' that when I'm setting up the model in the first place to give me directions or is looking at the model once I've spun it a couple times and saying wait, this looks like one of these, maybe you should do some of this. >> So what it will look at is your data. So it will actually look in to your data, the type of data, how much data you have, the kind of problem you're trying to solve, how many, for example, if it's a classification problem, how many classes you have, and all of that basically determines the kind of model that it will use. You can also specify the level of complexity that you're interested in, like, are you interested in a very simple model, a complex model, is over fitting a risk at all It will determine all these things behind the scenes >> Right, right. >> based on the kind of problem that you're trying to solve. And the first time it solves it, it will give you a pretty good answer. It's usually very good, but then the second time you solve it or a third time you solve it, it gets better and better and better, because it's able to learn from its mistakes. So, and eventually it gets really good at its job so. >> But it's still, but it's a still a model that I built for that application. You're not drawing kind of pre-configured models down from the Oracle. >> No no, you're basically training it from scratch. >> Right. >> It's entirely intended for custom models. So companies that are- have highly customized data, like radiology or for example, looking at wind stress patterns like in polarized light and stuff like that. So things that are not normally covered by the standard image recognition and so, using things like transfer learning or fine tuning doesn't help in this particular case because if you've trained a model in dogs and cats then like, training it to recognize stress patterns, is just not- >> It's not going to work. >> It's not going to work. >> So you got to prepare for your interviews, looking through your website. You list a really dramatic example of where using your guys technology was like, I don't know, a tenth of the price >> Yes, yeah. >> And I think one month versus six. >> Yeah. >> I wonder if you could share some couple examples that, you know, people are putting this to use. >> Okay, so, we have actually a few. So one of them is with a company. They're focused on kind of a resume matching, so we built them- they were initially quoted by another company at around 450 000 and they were warned that they would not be able to exceed 40% accuracy given the data that they had. We managed to get to about 83/84% accuracy for about under 10 000. So that was like a huge huge reduction. Then the second one was just recently, another company had been spending quite a bit of time and resources on building out a technology to measure heart rate. We were able to look at that and produce, instead of spending like their 20 000 a month or so, we could bring it down to 4000 in total. So these are the kind of sort dramatic reductions in cost that our platform can offer. Stanford University, another great example. These are physicians that we're working with. None of them have any engineering background like, for them, Linux is in itself- That was the hardest thing for them to do was to get used to Linux and so once they start building on our platform it was like they actually built a model that was good enough that they were able to publish at the RSNA, which is like one of the biggest radiology conferences in the world. In this case it was for Pet CT, which is a three-dimensional model because there's a three-dimensional image if you will >> Okay. >> of the human body and so was able to determine whether somebody had a tumor or not and I think they mananged to get, with a very limited data set, about 74/75% accuracy and this was actually at Stanford, so it's a pretty, pretty big name. >> Right. So, Rajeev we're here at AWS Marketplace Experience. You're still a relatively small company. I think you said you had a good size C round, gettin' ready to go out and get a decent A round. >> Right. >> What does it mean to work with a company like Amazon? I mean, as a small company, just to get, just to get an approved vendor set up at Stanford, probably not an easy thing, right. There's all kinds of legal Ts and Cs. >> Exactly. >> As a startup their always worried about whether you're going to be around tomorrow. >> Exactly. >> So your part doin' AWS, so how's that been workin' with AWS and the Marketplace . >> Well firstly, it's definitely given us the Amazon backing in a way, so when people see you're on AWS, they see that connected to you, that automatically gives them a little bit more confidence. >> They vetted you so you must be good. >> Exactly, exactly. And the second is that it gives access to a market that we otherwise wouldn't have had like, if I'm thinking about like producing software that you have to download on our website, that's a very very limited market. You have to attract people to your website and so on and so on. Now it's like we're on the Amazon- there's a machine learning hub on AWS. We're on that, so which means that when people search for machine learning, our name does come up. >> Right, right >> It means it's very easy to launch. You don't have to worry about setting up a machine, worrying about how to configure it. Everything is done automatically, makes life really easy. >> Right. >> On top of that, the AWS team has been- the Marketplace team has been really extremely helpful connecting us with end customers. So very often they will refer people to us. In fact, one of our largest customers came through an AWS referral, so for us it's been nothing but a win-win. >> Right. What about the potential downside? Not to rain on the parade but the old joke used to be if you're a start-up makin' widgets, you know, you just got your first order with Walmart the good news. Bad news is you just got your first order with Walmart. That's opening up a huge global distribution opportunity, I mean in theory, you know, say you got a 1000 customers tomorrow, that might be a little bit of a challenge. >> Yeah, so we actually are starting to hit that. So, we- so our version two was really our go to market version and- which came out earlier this year, and so we've been trying to like wrap up the sales on that side and literally in the last three months. It's like I have not been home for six weeks now because I've been in the far East and traveling and, it' like- because of this heavy customer interaction at this point. So we have a very good story to tell the investors now, like, this has also helped with the investments rounds that we're actually looking at. So we have a very good story to tell the investors that you know, our like invoice list and so on is huge at this point so we need help now. It's actually more about raising, like building up a team now than it is about can we get orders. >> Right. It's really delivering more than sales. >> Exactly. >> I see what you're saying. And so we need to build up a delivery team, we need to- I mean, it's fairly intuitive, but at the same time it's a new technology which means, as with any platform, you're building up a team of evangelist, support individuals and so on. And there's going to be a marketing component as well, so we haven't really driven marketing that much. AWS has been great in kind of doing some of that for us, but we need to of course very actively go out and market. We haven't had that capacity yet. >> All right. We look forward to watching the story unfold and thanks for spending a few minutes with us. >> My pleasure. Thanks, thank you very much. All right, he's Rajeev Dutt, I'm Jeff. Thank you for watching the Cube. We're at the AWS Marketplace and Service Catalog Experience at the Aria, come on by. Thanks for watching. (upbeat music)

>> From the ARIA Resort in Las Vegas, it's theCube. Covering AWS Marketplace. Brought to you by Amazon Web Services. >> Hey, welcome back everybody. Jeff Frick here with theCube. We are at AWS Reinvent 2018. We got to get a number, I don't know how many people are here, but Vegas is packed. I think it's in six different venues tonight. We're at the ARIA at the hub with the AWS Marketplace & Service Catalog Experience, kicking everything off. We're excited to be joined by cube alumni. Last we saw him, I think it was in San Francisco Summit 2017. Carl Krupitzer, the CEO of ThingLogix. Carl, great to see you. >> Thank you it's great to be here. >> So I think you were saying before we turned the cameras on, you came early days. This whole piece here was not even as big a the room we're in. >> Right well we were part of the service launch for IoT, and that was just a few years ago, and it's exponentially bigger. Yeah. Just the expo, this is not even the expo floor right? And this is bigger than what we had originally. So excited to see it grow. >> So IoT keeps growing, growing, growing. That's all we hear about. In Industrial IoT, we did the Industrial IoT launch with GE back in better days. For them, huge opportunity. Really seeing a lot of momentum. What are some of the observations you're seeing actually out in marketplace? >> You know it's interesting. When we first started with the IoT service offering for AWS, there was a lot of proof of concepts going on, a lot of people kind of hacking their way through understanding what IoT is and how it could impact their business. And I think we've gotten to the point now where we're seeing more production roll-outs with very considerate business drivers behind it. >> Right. I think it's funny you're talking about doing some research for this, and you guys are really specific. I love it. It's not Greenfield projects you know? Have specific design objectives, have specific KPIs, have specific kind of ideas about what the functionality you want before you just kind of jump into IoT space with two feet. >> Right. Yeah we strongly discourage companies from just jumping in with both feet just because right? It's an expensive undertaking IoT, and it has the potential to really change your business for the better if you do it well. >> So where are you seeing the most uptake? Or maybe that surprises you the most in these early days? Kind of industry wise? >> We see a lot of creative use cases starting to come up. Kind of that secondary use of data, and one of the things that we've-- we kind of describe our customers having a life cycle of IoT right? They come in to solve a specific problem with us, which is usually a scalability, or a go to market issue. And then very quickly, they kind of get to the art of the possible. What can we do next? And we see a lot of companies really getting creative with the way they do things. From charging with-- using our FID tags in sub-Saharan Africa for water to solar power and things like that. It's interesting to see companies that didn't exist a few years ago, and couldn't have existed a few years ago, really kind of getting a lot of traction now. >> Right. It's funny we did an interview with Zebra Sports a few years ago actually now. And they're the one that's old RFID technology that put the pads in the shoulder pads for all the NFL players. They're on the refs, they're in the balls. It is such a cool way to apply on old technology to a new application and then really open up this completely different kind of consumer experience in watching sports. When you've got all this additional data about how fast are they running and what's their acceleration. And I think they had one example where they showed a guy in an interception. They had the little line tracker. Before he'd gotten all the way back in, it was a pick six. It's unbelievable now with this data. >> Our Middle Eastern group is actually doing a pilot right now for camel racing. So we're doing telemetry attached to the camels that are running around the tracks. We're getting speed and heart rate and those sorts of things. So it's everywhere right? >> I love it. Camel racing. So we're here at the AWS Marketplace Experience. So tell us a little bit about how's it working with AWS. How's the the marketplace fit within your entire kind of go to market strategy? >> Well so for us, the marketplace is really key to our go to market strategy right? I mean we're a small company and we-- our sales team is really kind of focused on helping customers solve problems and the marketplace really offers us the ability to not have to deal with a lot of the infrastructure things of servicing a customer right? They can go there, they can self sign up, they can implement the platform, our technology platform on their own and then billing is taken off of our plate. So it's not something that we have to have a bunch of resources dedicated to. >> Is there still a big services component though, that you still have to come in to help them as you say kind of define nice projects and good KPI's and kind of good places to start? Or do they often times on the marketplace purchase just go off to the races on their own? >> So it's a combination. If companies are looking to solve a specific problem with an IoT platform like Foundry, it's definitely a self implementable thing and it's becoming more and more self implementable. Foundry really deploys into a customers account using Cloud formation, and Cloud formation templates allow us to kind of create these customized solutions that can then be deployed. So it's-- we're getting a combination of both. >> Yeah, and I would imagine it's taken you into all kinds of markets that you just don't-- you just don't have the manpower to cover when you have a distribution partner at EWS. >> Yeah it's made things a lot faster for us to be able to spin up vertical solutions or specific offerings for a particular large customer. Marketplace can take care of all of the infrastructure on that. >> Alright so what are you looking for here at Reinvent 2018? You've been coming to these things for awhile. I know Andy's tweeting out, his keynote is ready to have the chicken wing contest I think, last night at midnight. Too late for me, I didn't make it. (laughs) >> For us I mean, some of the more exciting things that are out there are the emergence of server-less right? You see server-less, all of those AWS services really taking off. >> Right. >> But there's also the Sumarian, the ARVR's really kind of exploding. So for us it's really about, this is a great place for us to see the direction that AWS is heading and then make sure that our offering, and our technology is layered on top of that appropriately. >> And what are you hearing from your customers about Edge? All the talk about Edge and there's some fudd I think going about how does Edge work with Cloud and to me it's like two completely separate technology applications, but then you know what you're trying to accomplish. As kind of the buzzwords, Edge gets beyond the buzz and actually starts to be implemented, what do you kind of seeing and how's that working together with some of the services that Amazon's got? >> I mean Edge architecture's are an important component to a solution. Especially solutions that require real time data processing and decision making at the shop floor or whatever you have. AWS has taken very big strides toward creating service offerings and products down at the Edge that interface well with the Cloud. So for us, our perspective on it is that the Edge is really a reflection of the business logic and the processes and things that we define and build for a customer. Because ultimately those Edge processes have to feed the enterprise processes, which is what we really focus on right? How do we get machine data into enterprise systems? So Edge technology for us is definitely a consideration and when we build our select technology solutions, we look at Edge as a component in that architecture and we try to meet the needs of the customers specific use case when it comes to Edge. >> Right. Yeah it's not killing the Cloud. Who said that? - Right. >> So silly. >> Yeah it can't kill it. >> It's not slowing down this thing. >> Right. Alright Carl well thanks for taking a few minutes and have great Reinvent. >> Yeah thank you. - [Jeff] Hydrate. >> Thanks for your time. Definitely. - They say hydrate. Alright he's Carl, I'm Jeff. You're watching theCube. We're at AWS Marketplace inservice catalog experience. We're at the Aria in the quads. Stop on by. Thanks for watching we'll see you next time.