from the silicon angle media office in Boston Massachusetts it's the queue now here's your host Stu minimun hi I'm Stu minimun and welcome to a special cube conversation here in our Boston area studio the one constant that we know for customers is change and how they manage their data there are applications in this ever-changing world is something that is always interesting to dig into and helping me with this conversation first time guests on the program Joe DeAngelo who is a distinguished engineer and national practice lead of availability solutions with Veritas is here with me Joe thanks so much for joining us it's - thanks for having me yours is great all right so first before we get into it give us a little bit about you know your background what you work on how long you been with Veritas sure so I've been with Veritas for nine years in various different roles I was a product manager when I joined the company since then I joined the field sales technical or technical field sales organization working as an advocate with some of our more strategic customers sort of like the liaison back to the product team before that I was a consultant sort of as a implementing these technologies from Veritas and of course it was a customer - so always had sort of that round out that full full spectrum of experience with love that we can draw on some of your experience as a customer right let's start there if we will now you're working with a lot of customers and the space you're working on the availability solutions I kind of teed it up with we know that there's change happening you know when I talk about customers in their cloud journey it is an ever moving thing it's not a one-way thing there's data centers there's cloud there's edge there's all of these environments and what you know figuring out what application what application goes where and how that's changing over time is there's a real challenge for customers these days is it not it absolutely is and really one of the sort of the foundational tenants of the availability solutions at Veritas is that we give customers the ability to sort of decouple their applications from all of that sort of chaos that's in the in their infrastructure whether it's in the cloud whether it's hyper-converged physical virtual different storage technologies they can run their application where they need to run it when they need to run it and be to know that it'll be performance yeah well we know from Veritas as legacy I remember seeing the billboards and the t-shirts there are no hardware agenda so you understand Veritas has always been a software share company when you look at that kind of wave of you know software-defined storage and the like help us understand you know today here's 2020 we're living in the future you know what that means for you know customers data is customers application what the availability solution in the product lines that you work yeah I mean that's that's a terrific question well what it means is you have a myriad of choices you have to decide on so it's not just the individual application but really the the composition of those apps and the relationships they have with other different other applications you mentioned software-defined storage I mean we cut our teeth on software-defined storage back when that wasn't even a term you know thirty years ago all right I like to think that it's almost in our DNA that you know taking and virtualizing storage is one of the first things we did as a technology today we we've taken that same sort of approach to commoditizing most of the infrastructure so that it doesn't matter what operating system it doesn't matter what storage vendor you use doesn't matter what cloud provider you use our technology gives you the luxury or I like to say breathing room in many cases to make those decisions so that they can align with your business outcomes more effectively all right so Joe the the product we're going to be talking a bit about is info scale for people that aren't familiar you know what is info scale how does it fit in this ever-changing landscape you mentioned you know cloud and operating systems and hypervisors and everything so help us tee up we're in for a scale fits sure thing so info scale is really a moniker if nothing else on top of our storage foundation veritos volume manager Veritas file system veritas cluster server technologies and those have been industry staples for decades right being able to address the needs of the most critical applications and so most stringent and high demanding workloads be at the top financial institutions health care providers etc the the technology itself really addresses resiliency and availability from sort of three areas we'd like to think that you can provide the ability to keep your services online with our with our high availability and disaster recovery solutions but we also wanna make sure that those applications and those data sets that you're using the technology with making sure that they're performing right because an underperforming application is just as detrimental to availability as would be a simply going offline and we also want to give you the ability to migrate workloads and move those applications among different technologies so that's really where the the focus of impost scalable it ok so you know Joe when you have customers that are trying to figure out ok I'm taking an application do I take that from my data center do I move that to the cloud I'm building a new application where do I do that how does in fel scale fit into that discussion and how is the discussion of info scale fit with the infrastructure discussion that they are having yeah absolutely so inevitably what the choice a lot of the customers I have conversations with struggle with just what's the first step to get to the cloud and many of them are locked into a proprietary solution or some technology that doesn't really have an analogue or some sort of equivalency in the cloud with info scale what we allowed them to do is actually replicate that data anywhere they want to go because you said we don't have a hardware agenda it doesn't matter what the storage underneath the covers might be so we can go from physical storage on Prem into the public cloud across any variety of different tiers of storage that exists there and this works at not just the from a data set standpoint but the applications as well so if you've got something as critical as a database a relational database that's Oracle them as a sequel database whatever may be you can very easily replicate those and move those workloads into the public cloud for purposes of migrations or disaster recovery with truth be told of the exact same thing you know migrations just a one-way ticket a dr is a roundtrip ticket but the technology is exactly the same so that's how you're able to achieve those goals ok we talked about application in general you mentioned some specific is there you know you know a compatibility list or you know what sorts of classes of applications how do I know if my application today is something that fits under this certainly so we have a catalogue of agents that we support what we call our bundled agents or agent framework and it it's a list of roughly over 500 different infrastructure components applications and services that we monitor and protect for the purposes of again for disaster recovery and migration capabilities pretty much all the enterprise applications the most prolific workloads that are in the in the industry today so are your databases or middleware to your application servers those are all included but we also have the ability to very easily introduce custom applications so a customer can take and say they may have written something homegrown and it has any number of different components to it if you could tell me how to start it how to stop it how to monitor it we can put it into info skill okay Joe I think we paint a pretty good picture of what info scale is maybe if you have a customer example that might help us understand a little bit about kind of the use cases and commonly why they're using it now that work well I can I have a little bit of an anecdote that I like to tell a story about a customer a state agency that was a big info scale user just happened to be on Windows and we've gotten through a deployment and everything was looking great and they were able to move all of their their their applications in this particular these Windows applications all in it being particularly info scale being replicated and having both high availability as well as disaster recovery and everything was looking great I finished the project on a Friday afternoon and bye-bye Sunday morning I was getting frantic phone calls from the people that I was working with at the time I was actually a consultant and they're asking me what what happened what's going on why what's what's what's the issue here I go I left the customer just fine on Friday there were no issues at all and they said you need to reach out to your team there and see what's going on so we're getting some phone calls that there's some problems like okay so I got on the phone and I spoke to my contact there and he said oh no nothing's wrong with the environment but we might have some issues with who's gonna be maintaining it come Monday morning and I go why it was well I think half the team well pretty much all the team's gonna be calling in rich Monday morning and I go what are you talking about goes the entire IT staff hit the Mega Millions jackpot so the this is the entire staff this was the DBAs the network admins the manager the managers manager all had the Mega Man jackpot so needless to say they weren't too concerned about coming into work on Monday morning but this poor person that was left he was holding the bag he said we already reached out to support your guys are on the call we're confident knowing that you know that that veritas is going to be there to help us through this transitional period because we've got this consistent layer so I used that example because it's a fantastic story but too it addresses the fact that disasters come in many different flavors and many different you know they can produce and manifest in many different ways and your people that to me that that's always your most critical asset and when those suffer that you know this technology is there really helped address me well Joe I like that example rather than I think going forward rather than saying well what happens if one of your critical staff gets hit by a bus yeah what if your entire support team you know it did happen all right what would you say are some of the kind of misconceptions that but maybe people don't understand if they're that they haven't look closely at in post-game lately yeah great question so I think some of the misconceptions about it is that it's tied to a very specific sort of heritage big iron unix only workloads admittedly we cut our teeth in that space right whether it's going back in the days of the original Sun OS and some of the the big iron systems we gained a lot of traction a lot of you know we earned our stripes in that space but in reality that that space is shrunk tremendously over the last you know 10 or 15 years for a variety of reasons and I think there's still some misconception that that info scale or veritas you know volume management file system only is relevant in that space and truth be told nothing could be further from nothing to be further from the truth because if you go back to what I comment I made earlier about this idea of commoditizing that infrastructure we can help customers transition throughout all those different sort of points of inflection so if going from the big iron to go into the more commodity commoditized you know x86 hardware going from physical to virtual going from virtual to the cloud going from virtual to hyper-converged and even back in some cases we have the capabilities and the wherewithal to be able to help customers do those kinds of transitions yeah I've been in the industry long enough I remember a lot of those UNIX migrations you know whether it going over to Windows whether I'm going over the Linux what would you say are some of the similarities some of the differences from what we did in those environments compared to what's often a cloud discussion today yeah so truth be told is that we we we tend to not reinvent the wheel at Veritas we look and say okay what are some of the really you know tremendously powerful tools and capabilities that we have how do we apply those to new platforms you take the cloud for example one of the things that we've always prided ourselves on is giving customers again that breathing room to make a decision and say I'm gonna move to a new platform so I can literally take a worker that was running on UNIX and I can move it over to Linux well that same model now can be applied where I can take that legacy work load running in Solaris I can move that directly into the public cloud and that's something that turns a lot of heads because I asked a lot of customers I know would it be compelling if I had a means for you to be able to take that legacy Solaris environment or that UNIX workload and I can write it directly into say ec2 in AWS and they're all there it's it's they're incredulous they're thinking no this can't happen there's no way you can do this and I said yes it can because we look at the cloud is another platform and we want to be able to have customers take full advantage of it exploit it but at the same time not be fearful that they won't have a way to move data in and out yeah oh it's Veritas helping with some of the the management pieces when you talk about going through those migrations it's one thing about what platform I live on but how do I manage that environment what skills that do I need yeah how are you working hand-in-hand with your customers on that well the great thing about it is is that there is a there's a sense of parity between what we do on Prem and what you do in the public cloud when you're using info scale because again we consume cloud resources just like they were any other platform so whether you were going from physical to virtual virtual to hyper converts or into the public cloud the same operations the same configurations the same the same scripts the same user interface all the things all of the the the machinery and the tooling that's around those applications can can can be consistent and in many cases that is it is invaluable because a lot of customers while they want to adopt the public cloud they don't want to have to redefine their operational paradigm they want to be able to take those workloads and I want to just be able to scoop them up and say put me in the public cloud I don't want to change everything around it because I don't have the bandwidth to do that to take on a whole new react of texture using the cloud that's that's basically starting your IT from from zero and building only backup and they don't have the time or the money or the resources to make that happen so looking for that consistency looking for that parity between the on-prem the public cloud all right what are some of the features that are most resonating with your customers well I would say first and foremost the the the fact that that our core technology around volume management helps you to virtualize storage all the capabilities you have there the fact that our file system can transition between different different Indians rate going from UNIX to Linux going from from Solaris to Red Hat and so on that gives you that flexibility our Hardware agnostic replication with volume replicator giving you the ability to not only provide dr over any geographic distance but also the ability to migrate between those platforms so being able to take and replicate data that's on a UNIX system today into the public cloud running Linux so that's with volume replicator we also have capabilities that allow you to utilize local storage in the sense that and treat it like it's shared storage some of the challenges with the public cloud are around some of the restrictive storage architectures so you take like a an availability zone inside of AWS all that storage is only available inside of at that particular availability zone if you want to move an application over to the other node you can't share storage between those availability zones we didn't focus Caleb you can and you can basically address some of those gaps or shoot through some of those blind spots yeah how was your team helping your customers keep up with all those changes you know we look at the public cloud there there's always new instances there's new zones there's it's it's a constant reinvention happening and day out yeah absolutely so a couple of things were happening first and foremost we're in the marketplace we have CF T's we've got you know a.m. eyes for that product so that you can further info scale so you can spin those up much more quickly working to get in the same thing for the azure marketplace we integrate with a lot of the automation and orchestration tools that are in the market today the ansible is the Puppets the chef's making sure that what I call the time to value for our technology is as short as possible so that you get out of the business of becoming you know a very tossed admin but focusing more on your on your business and what Veritas can do to help you improve that yeah it's interesting stuff a lot of automation going on in this space you know it's a very different world for your customers you know is is there some that you need to kind of react eight customers as do you know what Veritas is doing today versus what they might yeah there's there's a we're we're not your father's Veritas kind of mentality that we try to promote and I think you you've seen over the last 12 to 18 months that our our messaging our corporate strategy in general has had a tremendous sort of resurgence of info scale being a big part of that because recognize that when you talk about Veritas as a whole with our API strategy of availability protection and insights availability of your services in your data are critical to your success as an enterprise not just from an IT perspective and it's where info scale really plays sort of the the sort of the critical role in achieving that any other what sort of outcomes do you do your customers find once they've rolled these solutions out well I think operationally that there is a significant reduction in the overhead needed to make some of the more complex and and and really challenging operations you know cookie cutter I had a customer just last week you know this might sound like a little bit of you know self-promotion but he said storage foundation is the single greatest software-defined storage technology that's ever been written and because they are able to achieve a migration on a scale that they never would have been able to achieve without without a technology like this and of course I know there's no way to vet that statement but you're just going to if the customer is gonna has said it we will take them on there he did it it was I took pause I'm like wow I was like can I quote you on that he was just like yes you may Joe what else what other features underneath or kind of lesser-known things from info scale do you want to make sure customers know about oh yeah I mean listen there there are so many incredible capabilities that are included with info scale I would say that most important is that you know we can do things like transparently tear storage between on-prem and the public cloud and that can be something as granular as and as an Oracle database or something is you know general-purpose is just a shared you know NFS file system we have intelligent caching mechanisms to accelerate performance of workloads that again address the issues of performance on Prem as well as the public cloud we can help you transition your applications we have a migration wizard framework inside of our dashboard our info scale operations manager that allows you to on you know on the fly establish all of the necessary relationships between the different different clusters to be able to move applications from from from UNIX to the Linux move it from physical to virtual to go from a virtual and a hyper-converged we identify all those pieces and you know I said in an on-demand fashion build all the components for you we have you know a number of different you know what's most common talk about today is ransomware right this idea that how do we insulate our data from the from the threats of ransomware you can do so many different off host snapshot recovery method methodologies with info scale right creating an air gap between your data and secondary data sets that you can recover instantly from but has that enough gap so that that something that would corrupt the primary data set would not infiltrate your secondary copies so I mean there's just so many cool things that it can do it's just the use cases are just pretty you know innumerable yeah so last question Joe is a let's go up level a little bit you talk about you know the application portfolios really changing for a lot of customers lift relational databases we talked about you know virtual and physical and and cloud environments ever changing so when customers think about Veritas how should they when and how should they be thinking about Veritas well especially from from the from an availability standpoint it's really about abstracting your applications from the underlying infrastructure providing a resilient and performant storage layer to achieve really the the goals of your business not just the goals of your IT because at the end of the day we want to make sure that there is a direct line of sight between what you're trying to do is an enterprise what you're trying to do as a business be it a financial service institution healthcare provider doesn't matter what the industry is and that that the investments you make an IT can directly contribute to that and with Veritas we really help customers to make that a reality and we do it tactically with the idea of protecting your applications and ensuring that you have resilient services and we do it strategically by giving a platform to be able to host any number of different applications across all different operating systems and technologies so DeAngelo thank you so much for all the updates really a pleasure all right be sure to check out the cube net for all of the interviews we have go hit the search you can find past interviews we've done with Veritas as well as all the shows that we'll be at at 2020 and beyond I'm Stu minimun and thank you for watching the Q

(chill electronic music) >> Hello everyone, welcome to theCUBE's presentation of the AWS Startups Showcase, AI and machine learning, the top startups building generative AI on AWS. This is the season three, episode one of the ongoing series covering the exciting startups from the AWS ecosystem, talk about AI and machine learning. Can't believe it's three years and season one. I'm your host, John Furrier. Got a great guest today, we're joined by Joseph Nelson, the co-founder and CEO of Roboflow, doing some cutting edge stuff around computer vision and really at the front end of this massive wave coming around, large language models, computer vision. The next gen AI is here, and it's just getting started. We haven't even scratched a service. Thanks for joining us today. >> Thanks for having me. >> So you got to love the large language model, foundation models, really educating the mainstream world. ChatGPT has got everyone in the frenzy. This is educating the world around this next gen AI capabilities, enterprise, image and video data, all a big part of it. I mean the edge of the network, Mobile World Conference is happening right now, this month, and it's just ending up, it's just continue to explode. Video is huge. So take us through the company, do a quick explanation of what you guys are doing, when you were founded. Talk about what the company's mission is, and what's your North Star, why do you exist? >> Yeah, Roboflow exists to really kind of make the world programmable. I like to say make the world be read and write access. And our North Star is enabling developers, predominantly, to build that future. If you look around, anything that you see will have software related to it, and can kind of be turned into software. The limiting reactant though, is how to enable computers and machines to understand things as well as people can. And in a lot of ways, computer vision is that missing element that enables anything that you see to become software. So in the virtue of, if software is eating the world, computer vision kind of makes the aperture infinitely wide. It's something that I kind of like, the way I like to frame it. And the capabilities are there, the open source models are there, the amount of data is there, the computer capabilities are only improving annually, but there's a pretty big dearth of tooling, and an early but promising sign of the explosion of use cases, models, and data sets that companies, developers, hobbyists alike will need to bring these capabilities to bear. So Roboflow is in the game of building the community around that capability, building the use cases that allow developers and enterprises to use computer vision, and providing the tooling for companies and developers to be able to add computer vision, create better data sets, and deploy to production, quickly, easily, safely, invaluably. >> You know, Joseph, the word in production is actually real now. You're seeing a lot more people doing in production activities. That's a real hot one and usually it's slower, but it's gone faster, and I think that's going to be more the same. And I think the parallel between what we're seeing on the large language models coming into computer vision, and as you mentioned, video's data, right? I mean we're doing video right now, we're transcribing it into a transcript, linking up to your linguistics, times and the timestamp, I mean everything's data and that really kind of feeds. So this connection between what we're seeing, the large language and computer vision are coming together kind of cousins, brothers. I mean, how would you compare, how would you explain to someone, because everyone's like on this wave of watching people bang out their homework assignments, and you know, write some hacks on code with some of the open AI technologies, there is a corollary directly related to to the vision side. Can you explain? >> Yeah, the rise of large language models are showing what's possible, especially with text, and I think increasingly will get multimodal as the images and video become ingested. Though there's kind of this still core missing element of basically like understanding. So the rise of large language models kind of create this new area of generative AI, and generative AI in the context of computer vision is a lot of, you know, creating video and image assets and content. There's also this whole surface area to understanding what's already created. Basically digitizing physical, real world things. I mean the Metaverse can't be built if we don't know how to mirror or create or identify the objects that we want to interact with in our everyday lives. And where computer vision comes to play in, especially what we've seen at Roboflow is, you know, a little over a hundred thousand developers now have built with our tools. That's to the tune of a hundred million labeled open source images, over 10,000 pre-trained models. And they've kind of showcased to us all of the ways that computer vision is impacting and bringing the world to life. And these are things that, you know, even before large language models and generative AI, you had pretty impressive capabilities, and when you add the two together, it actually unlocks these kind of new capabilities. So for example, you know, one of our users actually powers the broadcast feeds at Wimbledon. So here we're talking about video, we're streaming, we're doing things live, we've got folks that are cropping and making sure we look good, and audio/visual all plugged in correctly. When you broadcast Wimbledon, you'll notice that the camera controllers need to do things like track the ball, which is moving at extremely high speeds and zoom crop, pan tilt, as well as determine if the ball bounced in or out. The very controversial but critical key to a lot of tennis matches. And a lot of that has been historically done with the trained, but fallible human eye and computer vision is, you know, well suited for this task to say, how do we track, pan, tilt, zoom, and see, track the tennis ball in real time, run at 30 plus frames per second, and do it all on the edge. And those are capabilities that, you know, were kind of like science fiction, maybe even a decade ago, and certainly five years ago. Now the interesting thing, is that with the advent of of generative AI, you can start to do things like create your own training data sets, or kind of create logic around once you have this visual input. And teams at Tesla have actually been speaking about, of course the autopilot team's focused on doing vision tasks, but they've combined large language models to add reasoning and logic. So given that you see, let's say the tennis ball, what do you want to do? And being able to combine the capabilities of what LLM's represent, which is really a lot of basically, core human reasoning and logic, with computer vision for the inputs of what's possible, creates these new capabilities, let alone multimodality, which I'm sure we'll talk more about. >> Yeah, and it's really, I mean it's almost intoxicating. It's amazing that this is so capable because the cloud scales here, you got the edge developing, you can decouple compute power, and let Moore's law and all the new silicone and the processors and the GPUs do their thing, and you got open source booming. You're kind of getting at this next segment I wanted to get into, which is the, how people should be thinking about these advances of the computer vision. So this is now a next wave, it's here. I mean I'd love to have that for baseball because I'm always like, "Oh, it should have been a strike." I'm sure that's going to be coming soon, but what is the computer vision capable of doing today? I guess that's my first question. You hit some of it, unpack that a little bit. What does general AI mean in computer vision? What's the new thing? Because there are old technology's been around, proprietary, bolted onto hardware, but hardware advances at a different pace, but now you got new capabilities, generative AI for vision, what does that mean? >> Yeah, so computer vision, you know, at its core is basically enabling machines, computers, to understand, process, and act on visual data as effective or more effective than people can. Traditionally this has been, you know, task types like classification, which you know, identifying if a given image belongs in a certain category of goods on maybe a retail site, is the shoes or is it clothing? Or object detection, which is, you know, creating bounding boxes, which allows you to do things like count how many things are present, or maybe measure the speed of something, or trigger an alert when something becomes visible in frame that wasn't previously visible in frame, or instant segmentation where you're creating pixel wise segmentations for both instance and semantic segmentation, where you often see these kind of beautiful visuals of the polygon surrounding objects that you see. Then you have key point detection, which is where you see, you know, athletes, and each of their joints are kind of outlined is another more traditional type problem in signal processing and computer vision. With generative AI, you kind of get a whole new class of problem types that are opened up. So in a lot of ways I think about generative AI in computer vision as some of the, you know, problems that you aimed to tackle, might still be better suited for one of the previous task types we were discussing. Some of those problem types may be better suited for using a generative technique, and some are problem types that just previously wouldn't have been possible absent generative AI. And so if you make that kind of Venn diagram in your head, you can think about, okay, you know, visual question answering is a task type where if I give you an image and I say, you know, "How many people are in this image?" We could either build an object detection model that might count all those people, or maybe a visual question answering system would sufficiently answer this type of problem. Let alone generative AI being able to create new training data for old systems. And that's something that we've seen be an increasingly prominent use case for our users, as much as things that we advise our customers and the community writ large to take advantage of. So ultimately those are kind of the traditional task types. I can give you some insight, maybe, into how I think about what's possible today, or five years or ten years as you sort go back. >> Yes, definitely. Let's get into that vision. >> So I kind of think about the types of use cases in terms of what's possible. If you just imagine a very simple bell curve, your normal distribution, for the longest time, the types of things that are in the center of that bell curve are identifying objects that are very common or common objects in context. Microsoft published the COCO Dataset in 2014 of common objects and contexts, of hundreds of thousands of images of chairs, forks, food, person, these sorts of things. And you know, the challenge of the day had always been, how do you identify just those 80 objects? So if we think about the bell curve, that'd be maybe the like dead center of the curve, where there's a lot of those objects present, and it's a very common thing that needs to be identified. But it's a very, very, very small sliver of the distribution. Now if you go out to the way long tail, let's go like deep into the tail of this imagined visual normal distribution, you're going to have a problem like one of our customers, Rivian, in tandem with AWS, is tackling, to do visual quality assurance and manufacturing in production processes. Now only Rivian knows what a Rivian is supposed to look like. Only they know the imagery of what their goods that are going to be produced are. And then between those long tails of proprietary data of highly specific things that need to be understood, in the center of the curve, you have a whole kind of messy middle, type of problems I like to say. The way I think about computer vision advancing, is it's basically you have larger and larger and more capable models that eat from the center out, right? So if you have a model that, you know, understands the 80 classes in COCO, well, pretty soon you have advances like Clip, which was trained on 400 million image text pairs, and has a greater understanding of a wider array of objects than just 80 classes in context. And over time you'll get more and more of these larger models that kind of eat outwards from that center of the distribution. And so the question becomes for companies, when can you rely on maybe a model that just already exists? How do you use your data to get what may be capable off the shelf, so to speak, into something that is usable for you? Or, if you're in those long tails and you have proprietary data, how do you take advantage of the greatest asset you have, which is observed visual information that you want to put to work for your customers, and you're kind of living in the long tails, and you need to adapt state of the art for your capabilities. So my mental model for like how computer vision advances is you have that bell curve, and you have increasingly powerful models that eat outward. And multimodality has a role to play in that, larger models have a role to play in that, more compute, more data generally has a role to play in that. But it will be a messy and I think long condition. >> Well, the thing I want to get, first of all, it's great, great mental model, I appreciate that, 'cause I think that makes a lot of sense. The question is, it seems now more than ever, with the scale and compute that's available, that not only can you eat out to the middle in your example, but there's other models you can integrate with. In the past there was siloed, static, almost bespoke. Now you're looking at larger models eating into the bell curve, as you said, but also integrating in with other stuff. So this seems to be part of that interaction. How does, first of all, is that really happening? Is that true? And then two, what does that mean for companies who want to take advantage of this? Because the old model was operational, you know? I have my cameras, they're watching stuff, whatever, and like now you're in this more of a, distributed computing, computer science mindset, not, you know, put the camera on the wall kind of- I'm oversimplifying, but you know what I'm saying. What's your take on that? >> Well, to the first point of, how are these advances happening? What I was kind of describing was, you know, almost uni-dimensional in that you have like, you're only thinking about vision, but the rise of generative techniques and multi-modality, like Clip is a multi-modal model, it has 400 million image text pairs. That will advance the generalizability at a faster rate than just treating everything as only vision. And that's kind of where LLMs and vision will intersect in a really nice and powerful way. Now in terms of like companies, how should they be thinking about taking advantage of these trends? The biggest thing that, and I think it's different, obviously, on the size of business, if you're an enterprise versus a startup. The biggest thing that I think if you're an enterprise, and you have an established scaled business model that is working for your customers, the question becomes, how do you take advantage of that established data moat, potentially, resource moats, and certainly, of course, establish a way of providing value to an end user. So for example, one of our customers, Walmart, has the advantage of one of the largest inventory and stock of any company in the world. And they also of course have substantial visual data, both from like their online catalogs, or understanding what's in stock or out of stock, or understanding, you know, the quality of things that they're going from the start of their supply chain to making it inside stores, for delivery of fulfillments. All these are are visual challenges. Now they already have a substantial trove of useful imagery to understand and teach and train large models to understand each of the individual SKUs and products that are in their stores. And so if I'm a Walmart, what I'm thinking is, how do I make sure that my petabytes of visual information is utilized in a way where I capture the proprietary benefit of the models that I can train to do tasks like, what item was this? Or maybe I'm going to create AmazonGo-like technology, or maybe I'm going to build like delivery robots, or I want to automatically know what's in and out of stock from visual input fees that I have across my in-store traffic. And that becomes the question and flavor of the day for enterprises. I've got this large amount of data, I've got an established way that I can provide more value to my own customers. How do I ensure I take advantage of the data advantage I'm already sitting on? If you're a startup, I think it's a pretty different question, and I'm happy to talk about. >> Yeah, what's startup angle on this? Because you know, they're going to want to take advantage. It's like cloud startups, cloud native startups, they were born in the cloud, they never had an IT department. So if you're a startup, is there a similar role here? And if I'm a computer vision startup, what's that mean? So can you share your your take on that, because there'll be a lot of people starting up from this. >> So the startup on the opposite advantage and disadvantage, right? Like a startup doesn't have an proven way of delivering repeatable value in the same way that a scaled enterprise does. But it does have the nimbleness to identify and take advantage of techniques that you can start from a blank slate. And I think the thing that startups need to be wary of in the generative AI enlarged language model, in multimodal world, is building what I like to call, kind of like sandcastles. A sandcastle is maybe a business model or a capability that's built on top of an assumption that is going to be pretty quickly wiped away by improving underlying model technology. So almost like if you imagine like the ocean, the waves are coming in, and they're going to wipe away your progress. You don't want to be in the position of building sandcastle business where, you don't want to bet on the fact that models aren't going to get good enough to solve the task type that you might be solving. In other words, don't take a screenshot of what's capable today. Assume that what's capable today is only going to continue to become possible. And so for a startup, what you can do, that like enterprises are quite comparatively less good at, is embedding these capabilities deeply within your products and delivering maybe a vertical based experience, where AI kind of exists in the background. >> Yeah. >> And we might not think of companies as, you know, even AI companies, it's just so embedded in the experience they provide, but that's like the vertical application example of taking AI and making it be immediately usable. Or, of course there's tons of picks and shovels businesses to be built like Roboflow, where you're enabling these enterprises to take advantage of something that they have, whether that's their data sets, their computes, or their intellect. >> Okay, so if I hear that right, by the way, I love, that's horizontally scalable, that's the large language models, go up and build them the apps, hence your developer focus. I'm sure that's probably the reason that the tsunami of developer's action. So you're saying picks and shovels tools, don't try to replicate the platform of what could be the platform. Oh, go to a VC, I'm going to build a platform. No, no, no, no, those are going to get wiped away by the large language models. Is there one large language model that will rule the world, or do you see many coming? >> Yeah, so to be clear, I think there will be useful platforms. I just think a lot of people think that they're building, let's say, you know, if we put this in the cloud context, you're building a specific type of EC2 instance. Well, it turns out that Amazon can offer that type of EC2 instance, and immediately distribute it to all of their customers. So you don't want to be in the position of just providing something that actually ends up looking like a feature, which in the context of AI, might be like a small incremental improvement on the model. If that's all you're doing, you're a sandcastle business. Now there's a lot of platform businesses that need to be built that enable businesses to get to value and do things like, how do I monitor my models? How do I create better models with my given data sets? How do I ensure that my models are doing what I want them to do? How do I find the right models to use? There's all these sorts of platform wide problems that certainly exist for businesses. I just think a lot of startups that I'm seeing right now are making the mistake of assuming the advances we're seeing are not going to accelerate or even get better. >> So if I'm a customer, if I'm a company, say I'm a startup or an enterprise, either one, same question. And I want to stand up, and I have developers working on stuff, I want to start standing up an environment to start doing stuff. Is that a service provider? Is that a managed service? Is that you guys? So how do you guys fit into your customers leaning in? Is it just for developers? Are you targeting with a specific like managed service? What's the product consumption? How do you talk to customers when they come to you? >> The thing that we do is enable, we give developers superpowers to build automated inventory tracking, self-checkout systems, identify if this image is malignant cancer or benign cancer, ensure that these products that I've produced are correct. Make sure that that the defect that might exist on this electric vehicle makes its way back for review. All these sorts of problems are immediately able to be solved and tackled. In terms of the managed services element, we have solutions as integrators that will often build on top of our tools, or we'll have companies that look to us for guidance, but ultimately the company is in control of developing and building and creating these capabilities in house. I really think the distinction is maybe less around managed service and tool, and more around ownership in the era of AI. So for example, if I'm using a managed service, in that managed service, part of their benefit is that they are learning across their customer sets, then it's a very different relationship than using a managed service where I'm developing some amount of proprietary advantages for my data sets. And I think that's a really important thing that companies are becoming attuned to, just the value of the data that they have. And so that's what we do. We tell companies that you have this proprietary, immense treasure trove of data, use that to your advantage, and think about us more like a set of tools that enable you to get value from that capability. You know, the HashiCorp's and GitLab's of the world have proven like what these businesses look like at scale. >> And you're targeting developers. When you go into a company, do you target developers with freemium, is there a paid service? Talk about the business model real quick. >> Sure, yeah. The tools are free to use and get started. When someone signs up for Roboflow, they may elect to make their work open source, in which case we're able to provide even more generous usage limits to basically move the computer vision community forward. If you elect to make your data private, you can use our hosted data set managing, data set training, model deployment, annotation tooling up to some limits. And then usually when someone validates that what they're doing gets them value, they purchase a subscription license to be able to scale up those capabilities. So like most developer centric products, it's free to get started, free to prove, free to poke around, develop what you think is possible. And then once you're getting to value, then we're able to capture the commercial upside in the value that's being provided. >> Love the business model. It's right in line with where the market is. There's kind of no standards bodies these days. The developers are the ones who are deciding kind of what the standards are by their adoption. I think making that easy for developers to get value as the model open sources continuing to grow, you can see more of that. Great perspective Joseph, thanks for sharing that. Put a plug in for the company. What are you guys doing right now? Where are you in your growth? What are you looking for? How should people engage? Give the quick commercial for the company. >> So as I mentioned, Roboflow is I think one of the largest, if not the largest collections of computer vision models and data sets that are open source, available on the web today, and have a private set of tools that over half the Fortune 100 now rely on those tools. So we're at the stage now where we know people want what we're working on, and we're continuing to drive that type of adoption. So companies that are looking to make better models, improve their data sets, train and deploy, often will get a lot of value from our tools, and certainly reach out to talk. I'm sure there's a lot of talented engineers that are tuning in too, we're aggressively hiring. So if you are interested in being a part of making the world programmable, and being at the ground floor of the company that's creating these capabilities to be writ large, we'd love to hear from you. >> Amazing, Joseph, thanks so much for coming on and being part of the AWS Startup Showcase. Man, if I was in my twenties, I'd be knocking on your door, because it's the hottest trend right now, it's super exciting. Generative AI is just the beginning of massive sea change. Congratulations on all your success, and we'll be following you guys. Thanks for spending the time, really appreciate it. >> Thanks for having me. >> Okay, this is season three, episode one of the ongoing series covering the exciting startups from the AWS ecosystem, talking about the hottest things in tech. I'm John Furrier, your host. Thanks for watching. (chill electronic music)

(gentle music) >> Hello everyone. Welcome to this CUBE conversation here in Palo Alto, California. I'm John Furrier, host of theCUBE. We got a great remote guest coming in. Joseph Nelson, co-founder and CEO of RoboFlow hot startup in AI, computer vision. Really interesting topic in this wave of AI next gen hitting. Joseph, thanks for coming on this CUBE conversation. >> Thanks for having me. >> Yeah, I love the startup tsunami that's happening here in this wave. RoboFlow, you're in the middle of it. Exciting opportunities, you guys are in the cutting edge. I think computer vision's been talked about more as just as much as the large language models and these foundational models are merging. You're in the middle of it. What's it like right now as a startup and growing in this new wave hitting? >> It's kind of funny, it's, you know, I kind of describe it like sometimes you're in a garden of gnomes. It's like we feel like we've got this giant headstart with hundreds of thousands of people building with computer vision, training their own models, but that's a fraction of what it's going to be in six months, 12 months, 24 months. So, as you described it, a wave is a good way to think about it. And the wave is still building before it gets to its full size. So it's a ton of fun. >> Yeah, I think it's one of the most exciting areas in computer science. I wish I was in my twenties again, because I would be all over this. It's the intersection, there's so many disciplines, right? It's not just tech computer science, it's computer science, it's systems, it's software, it's data. There's so much aperture of things going on around your world. So, I mean, you got to be batting all the students away kind of trying to get hired in there, probably. I can only imagine you're hiring regiment. I'll ask that later, but first talk about what the company is that you're doing. How it's positioned, what's the market you're going after, and what's the origination story? How did you guys get here? How did you just say, hey, want to do this? What was the origination story? What do you do and how did you start the company? >> Yeah, yeah. I'll give you the what we do today and then I'll shift into the origin. RoboFlow builds tools for making the world programmable. Like anything that you see should be read write access if you think about it with a programmer's mind or legible. And computer vision is a technology that enables software to be added to these real world objects that we see. And so any sort of interface, any sort of object, any sort of scene, we can interact with it, we can make it more efficient, we can make it more entertaining by adding the ability for the tools that we use and the software that we write to understand those objects. And at RoboFlow, we've empowered a little over a hundred thousand developers, including those in half the Fortune 100 so far in that mission. Whether that's Walmart understanding the retail in their stores, Cardinal Health understanding the ways that they're helping their patients, or even electric vehicle manufacturers ensuring that they're making the right stuff at the right time. As you mentioned, it's early. Like I think maybe computer vision has touched one, maybe 2% of the whole economy and it'll be like everything in a very short period of time. And so we're focused on enabling that transformation. I think it's it, as far as I think about it, I've been fortunate to start companies before, start, sell these sorts of things. This is the last company I ever wanted to start and I think it will be, should we do it right, the world's largest in riding the wave of bringing together the disparate pieces of that technology. >> What was the motivating point of the formation? Was it, you know, you guys were hanging around? Was there some catalyst? What was the moment where it all kind of came together for you? >> You know what's funny is my co-founder, Brad and I, we were making computer vision apps for making board games more fun to play. So in 2017, Apple released AR kit, augmented reality kit for building augmented reality applications. And Brad and I are both sort of like hacker persona types. We feel like we don't really understand the technology until we build something with it and so we decided that we should make an app that if you point your phone at a Sudoku puzzle, it understands the state of the board and then it kind of magically fills in that experience with all the digits in real time, which totally ruins the game of Sudoku to be clear. But it also just creates this like aha moment of like, oh wow, like the ability for our pocket devices to understand and see the world as good or better than we can is possible. And so, you know, we actually did that as I mentioned in 2017, and the app went viral. It was, you know, top of some subreddits, top of Injure, Reddit, the hacker community as well as Product Hunt really liked it. So it actually won Product Hunt AR app of the year, which was the same year that the Tesla model three won the product of the year. So we joked that we share an award with Elon our shared (indistinct) But frankly, so that was 2017. RoboFlow wasn't incorporated as a business until 2019. And so, you know, when we made Magic Sudoku, I was running a different company at the time, Brad was running a different company at the time, and we kind of just put it out there and were excited by how many people liked it. And we assumed that other curious developers would see this inevitable future of, oh wow, you know. This is much more than just a pedestrian point your phone at a board game. This is everything can be seen and understood and rewritten in a different way. Things like, you know, maybe your fridge. Knowing what ingredients you have and suggesting recipes or auto ordering for you, or we were talking about some retail use cases of automated checkout. Like anything can be seen and observed and we presume that that would kick off a Cambrian explosion of applications. It didn't. So you fast forward to 2019, we said, well we might as well be the guys to start to tackle this sort of problem. And because of our success with board games before, we returned to making more board game solving applications. So we made one that solves Boggle, you know, the four by four word game, we made one that solves chess, you point your phone at a chess board and it understands the state of the board and then can make move recommendations. And each additional board game that we added, we realized that the tooling was really immature. The process of collecting images, knowing which images are actually going to be useful for improving model performance, training those models, deploying those models. And if we really wanted to make the world programmable, developers waiting for us to make an app for their thing of interest is a lot less efficient, less impactful than taking our tool chain and releasing that externally. And so, that's what RoboFlow became. RoboFlow became the internal tools that we used to make these game changing applications readily available. And as you know, when you give developers new tools, they create new billion dollar industries, let alone all sorts of fun hobbyist projects along the way. >> I love that story. Curious, inventive, little radical. Let's break the rules, see how we can push the envelope on the board games. That's how companies get started. It's a great story. I got to ask you, okay, what happens next? Now, okay, you realize this new tooling, but this is like how companies get built. Like they solve their own problem that they had 'cause they realized there's one, but then there has to be a market for it. So you actually guys knew that this was coming around the corner. So okay, you got your hacker mentality, you did that thing, you got the award and now you're like, okay, wow. Were you guys conscious of the wave coming? Was it one of those things where you said, look, if we do this, we solve our own problem, this will be big for everybody. Did you have that moment? Was that in 2019 or was that more of like, it kind of was obvious to you guys? >> Absolutely. I mean Brad puts this pretty effectively where he describes how we lived through the initial internet revolution, but we were kind of too young to really recognize and comprehend what was happening at the time. And then mobile happened and we were working on different companies that were not in the mobile space. And computer vision feels like the wave that we've caught. Like, this is a technology and capability that rewrites how we interact with the world, how everyone will interact with the world. And so we feel we've been kind of lucky this time, right place, right time of every enterprise will have the ability to improve their operations with computer vision. And so we've been very cognizant of the fact that computer vision is one of those groundbreaking technologies that every company will have as a part of their products and services and offerings, and we can provide the tooling to accelerate that future. >> Yeah, and the developer angle, by the way, I love that because I think, you know, as we've been saying in theCUBE all the time, developer's the new defacto standard bodies because what they adopt is pure, you know, meritocracy. And they pick the best. If it's sell service and it's good and it's got open source community around it, its all in. And they'll vote. They'll vote with their code and that is clear. Now I got to ask you, as you look at the market, we were just having this conversation on theCUBE in Barcelona at recent Mobile World Congress, now called MWC, around 5G versus wifi. And the debate was specifically computer vision, like facial recognition. We were talking about how the Cleveland Browns were using facial recognition for people coming into the stadium they were using it for ships in international ports. So the question was 5G versus wifi. My question is what infrastructure or what are the areas that need to be in place to make computer vision work? If you have developers building apps, apps got to run on stuff. So how do you sort that out in your mind? What's your reaction to that? >> A lot of the times when we see applications that need to run in real time and on video, they'll actually run at the edge without internet. And so a lot of our users will actually take their models and run it in a fully offline environment. Now to act on that information, you'll often need to have internet signal at some point 'cause you'll need to know how many people were in the stadium or what shipping crates are in my port at this point in time. You'll need to relay that information somewhere else, which will require connectivity. But actually using the model and creating the insights at the edge does not require internet. I mean we have users that deploy models on underwater submarines just as much as in outer space actually. And those are not very friendly environments to internet, let alone 5g. And so what you do is you use an edge device, like an Nvidia Jetson is common, mobile devices are common. Intel has some strong edge devices, the Movidius family of chips for example. And you use that compute that runs completely offline in real time to process those signals. Now again, what you do with those signals may require connectivity and that becomes a question of the problem you're solving of how soon you need to relay that information to another place. >> So, that's an architectural issue on the infrastructure. If you're a tactical edge war fighter for instance, you might want to have highly available and maybe high availability. I mean, these are words that mean something. You got storage, but it's not at the edge in real time. But you can trickle it back and pull it down. That's management. So that's more of a business by business decision or environment, right? >> That's right, that's right. Yeah. So I mean we can talk through some specifics. So for example, the RoboFlow actually powers the broadcaster that does the tennis ball tracking at Wimbledon. That runs completely at the edge in real time in, you know, technically to track the tennis ball and point the camera, you actually don't need internet. Now they do have internet of course to do the broadcasting and relay the signal and feeds and these sorts of things. And so that's a case where you have both edge deployment of running the model and high availability act on that model. We have other instances where customers will run their models on drones and the drone will go and do a flight and it'll say, you know, this many residential homes are in this given area, or this many cargo containers are in this given shipping yard. Or maybe we saw these environmental considerations of soil erosion along this riverbank. The model in that case can run on the drone during flight without internet, but then you only need internet once the drone lands and you're going to act on that information because for example, if you're doing like a study of soil erosion, you don't need to be real time. You just need to be able to process and make use of that information once the drone finishes its flight. >> Well I can imagine a zillion use cases. I heard of a use case interview at a company that does computer vision to help people see if anyone's jumping the fence on their company. Like, they know what a body looks like climbing a fence and they can spot it. Pretty easy use case compared to probably some of the other things, but this is the horizontal use cases, its so many use cases. So how do you guys talk to the marketplace when you say, hey, we have generative AI for commuter vision. You might know language models that's completely different animal because vision's like the world, right? So you got a lot more to do. What's the difference? How do you explain that to customers? What can I build and what's their reaction? >> Because we're such a developer centric company, developers are usually creative and show you the ways that they want to take advantage of new technologies. I mean, we've had people use things for identifying conveyor belt debris, doing gas leak detection, measuring the size of fish, airplane maintenance. We even had someone that like a hobby use case where they did like a specific sushi identifier. I dunno if you know this, but there's a specific type of whitefish that if you grew up in the western hemisphere and you eat it in the eastern hemisphere, you get very sick. And so there was someone that made an app that tells you if you happen to have that fish in the sushi that you're eating. But security camera analysis, transportation flows, plant disease detection, really, you know, smarter cities. We have people that are doing curb management identifying, and a lot of these use cases, the fantastic thing about building tools for developers is they're a creative bunch and they have these ideas that if you and I sat down for 15 minutes and said, let's guess every way computer vision can be used, we would need weeks to list all the example use cases. >> We'd miss everything. >> And we'd miss. And so having the community show us the ways that they're using computer vision is impactful. Now that said, there are of course commercial industries that have discovered the value and been able to be out of the gate. And that's where we have the Fortune 100 customers, like we do. Like the retail customers in the Walmart sector, healthcare providers like Medtronic, or vehicle manufacturers like Rivian who all have very difficult either supply chain, quality assurance, in stock, out of stock, anti-theft protection considerations that require successfully making sense of the real world. >> Let me ask you a question. This is maybe a little bit in the weeds, but it's more developer focused. What are some of the developer profiles that you're seeing right now in terms of low-hanging fruit applications? And can you talk about the academic impact? Because I imagine if I was in school right now, I'd be all over it. Are you seeing Master's thesis' being worked on with some of your stuff? Is the uptake in both areas of younger pre-graduates? And then inside the workforce, What are some of the devs like? Can you share just either what their makeup is, what they work on, give a little insight into the devs you're working with. >> Leading developers that want to be on state-of-the-art technology build with RoboFlow because they know they can use the best in class open source. They know that they can get the most out of their data. They know that they can deploy extremely quickly. That's true among students as you mentioned, just as much as as industries. So we welcome students and I mean, we have research grants that will regularly support for people to publish. I mean we actually have a channel inside our internal slack where every day, more student publications that cite building with RoboFlow pop up. And so, that helps inspire some of the use cases. Now what's interesting is that the use case is relatively, you know, useful or applicable for the business or the student. In other words, if a student does a thesis on how to do, we'll say like shingle damage detection from satellite imagery and they're just doing that as a master's thesis, in fact most insurance businesses would be interested in that sort of application. So, that's kind of how we see uptick and adoption both among researchers who want to be on the cutting edge and publish, both with RoboFlow and making use of open source tools in tandem with the tool that we provide, just as much as industry. And you know, I'm a big believer in the philosophy that kind of like what the hackers are doing nights and weekends, the Fortune 500 are doing in a pretty short order period of time and we're experiencing that transition. Computer vision used to be, you know, kind of like a PhD, multi-year investment endeavor. And now with some of the tooling that we're working on in open source technologies and the compute that's available, these science fiction ideas are possible in an afternoon. And so you have this idea of maybe doing asset management or the aerial observation of your shingles or things like this. You have a few hundred images and you can de-risk whether that's possible for your business today. So there's pretty broad-based adoption among both researchers that want to be on the state of the art, as much as companies that want to reduce the time to value. >> You know, Joseph, you guys and your partner have got a great front row seat, ground floor, presented creation wave here. I'm seeing a pattern emerging from all my conversations on theCUBE with founders that are successful, like yourselves, that there's two kind of real things going on. You got the enterprises grabbing the products and retrofitting into their legacy and rebuilding their business. And then you have startups coming out of the woodwork. Young, seeing greenfield or pick a specific niche or focus and making that the signature lever to move the market. >> That's right. >> So can you share your thoughts on the startup scene, other founders out there and talk about that? And then I have a couple questions for like the enterprises, the old school, the existing legacy. Little slower, but the startups are moving fast. What are some of the things you're seeing as startups are emerging in this field? >> I think you make a great point that independent of RoboFlow, very successful, especially developer focused businesses, kind of have three customer types. You have the startups and maybe like series A, series B startups that you're building a product as fast as you can to keep up with them, and they're really moving just as fast as as you are and pulling the product out at you for things that they need. The second segment that you have might be, call it SMB but not enterprise, who are able to purchase and aren't, you know, as fast of moving, but are stable and getting value and able to get to production. And then the third type is enterprise, and that's where you have typically larger contract value sizes, slower moving in terms of adoption and feedback for your product. And I think what you see is that successful companies balance having those three customer personas because you have the small startups, small fast moving upstarts that are discerning buyers who know the market and elect to build on tooling that is best in class. And so you basically kind of pass the smell test of companies who are quite discerning in their purchases, plus are moving so quick they're pulling their product out of you. Concurrently, you have a product that's enterprise ready to service the scalability, availability, and trust of enterprise buyers. And that's ultimately where a lot of companies will see tremendous commercial success. I mean I remember seeing the Twilio IPO, Uber being like a full 20% of their revenue, right? And so there's this very common pattern where you have the ability to find some of those upstarts that you make bets on, like the next Ubers of the world, the smaller companies that continue to get developed with the product and then the enterprise whom allows you to really fund the commercial success of the business, and validate the size of the opportunity in market that's being creative. >> It's interesting, there's so many things happening there. It's like, in a way it's a new category, but it's not a new category. It becomes a new category because of the capabilities, right? So, it's really interesting, 'cause that's what you're talking about is a category, creating. >> I think developer tools. So people often talk about B to B and B to C businesses. I think developer tools are in some ways a third way. I mean ultimately they're B to B, you're selling to other businesses and that's where your revenue's coming from. However, you look kind of like a B to C company in the ways that you measure product adoption and kind of go to market. In other words, you know, we're often tracking the leading indicators of commercial success in the form of usage, adoption, retention. Really consumer app, traditionally based metrics of how to know you're building the right stuff, and that's what product led growth companies do. And then you ultimately have commercial traction in a B to B way. And I think that that actually kind of looks like a third thing, right? Like you can do these sort of funny zany marketing examples that you might see historically from consumer businesses, but yet you ultimately make your money from the enterprise who has these de-risked high value problems you can solve for them. And I selfishly think that that's the best of both worlds because I don't have to be like Evan Spiegel, guessing the next consumer trend or maybe creating the next consumer trend and catching lightning in a bottle over and over again on the consumer side. But I still get to have fun in our marketing and make sort of fun, like we're launching the world's largest game of rock paper scissors being played with computer vision, right? Like that's sort of like a fun thing you can do, but then you can concurrently have the commercial validation and customers telling you the things that they need to be built for them next to solve commercial pain points for them. So I really do think that you're right by calling this a new category and it really is the best of both worlds. >> It's a great call out, it's a great call out. In fact, I always juggle with the VC. I'm like, it's so easy. Your job is so easy to pick the winners. What are you talking about its so easy? I go, just watch what the developers jump on. And it's not about who started, it could be someone in the dorm room to the boardroom person. You don't know because that B to C, the C, it's B to D you know? You know it's developer 'cause that's a human right? That's a consumer of the tool which influences the business that never was there before. So I think this direct business model evolution, whether it's media going direct or going direct to the developers rather than going to a gatekeeper, this is the reality. >> That's right. >> Well I got to ask you while we got some time left to describe, I want to get into this topic of multi-modality, okay? And can you describe what that means in computer vision? And what's the state of the growth of that portion of this piece? >> Multi modality refers to using multiple traditionally siloed problem types, meaning text, image, video, audio. So you could treat an audio problem as only processing audio signal. That is not multimodal, but you could use the audio signal at the same time as a video feed. Now you're talking about multi modality. In computer vision, multi modality is predominantly happening with images and text. And one of the biggest releases in this space is actually two years old now, was clip, contrastive language image pre-training, which took 400 million image text pairs and basically instead of previously when you do classification, you basically map every single image to a single class, right? Like here's a bunch of images of chairs, here's a bunch of images of dogs. What clip did is used, you can think about it like, the class for an image being the Instagram caption for the image. So it's not one single thing. And by training on understanding the corpora, you basically see which words, which concepts are associated with which pixels. And this opens up the aperture for the types of problems and generalizability of models. So what does this mean? This means that you can get to value more quickly from an existing trained model, or at least validate that what you want to tackle with a computer vision, you can get there more quickly. It also opens up the, I mean. Clip has been the bedrock of some of the generative image techniques that have come to bear, just as much as some of the LLMs. And increasingly we're going to see more and more of multi modality being a theme simply because at its core, you're including more context into what you're trying to understand about the world. I mean, in its most basic sense, you could ask yourself, if I have an image, can I know more about that image with just the pixels? Or if I have the image and the sound of when that image was captured or it had someone describe what they see in that image when the image was captured, which one's going to be able to get you more signal? And so multi modality helps expand the ability for us to understand signal processing. >> Awesome. And can you just real quick, define clip for the folks that don't know what that means? >> Yeah. Clip is a model architecture, it's an acronym for contrastive language image pre-training and like, you know, model architectures that have come before it captures the almost like, models are kind of like brands. So I guess it's a brand of a model where you've done these 400 million image text pairs to match up which visual concepts are associated with which text concepts. And there have been new releases of clip, just at bigger sizes of bigger encoding's, of longer strings of texture, or larger image windows. But it's been a really exciting advancement that OpenAI released in January, 2021. >> All right, well great stuff. We got a couple minutes left. Just I want to get into more of a company-specific question around culture. All startups have, you know, some sort of cultural vibe. You know, Intel has Moore's law doubles every whatever, six months. What's your culture like at RoboFlow? I mean, if you had to describe that culture, obviously love the hacking story, you and your partner with the games going number one on Product Hunt next to Elon and Tesla and then hey, we should start a company two years later. That's kind of like a curious, inventing, building, hard charging, but laid back. That's my take. How would you describe the culture? >> I think that you're right. The culture that we have is one of shipping, making things. So every week each team shares what they did for our customers on a weekly basis. And we have such a strong emphasis on being better week over week that those sorts of things compound. So one big emphasis in our culture is getting things done, shipping, doing things for our customers. The second is we're an incredibly transparent place to work. For example, how we think about giving decisions, where we're progressing against our goals, what problems are biggest and most important for the company is all open information for those that are inside the company to know and progress against. The third thing that I'd use to describe our culture is one that thrives with autonomy. So RoboFlow has a number of individuals who have founded companies before, some of which have sold their businesses for a hundred million plus upon exit. And the way that we've been able to attract talent like that is because the problems that we're tackling are so immense, yet individuals are able to charge at it with the way that they think is best. And this is what pairs well with transparency. If you have a strong sense of what the company's goals are, how we're progressing against it, and you have this ownership mentality of what can I do to change or drive progress against that given outcome, then you create a really healthy pairing of, okay cool, here's where the company's progressing. Here's where things are going really well, here's the places that we most need to improve and work on. And if you're inside that company as someone who has a preponderance to be a self-starter and even a history of building entire functions or companies yourself, then you're going to be a place where you can really thrive. You have the inputs of the things where we need to work on to progress the company's goals. And you have the background of someone that is just necessarily a fast moving and ambitious type of individual. So I think the best way to describe it is a transparent place with autonomy and an emphasis on getting things done. >> Getting shit done as they say. Getting stuff done. Great stuff. Hey, final question. Put a plug out there for the company. What are you going to hire? What's your pipeline look like for people? What jobs are open? I'm sure you got hiring all around. Give a quick plug for the company what you're looking for. >> I appreciate you asking. Basically you're either building the product or helping customers be successful with the product. So in the building product category, we have platform engineering roles, machine learning engineering roles, and we're solving some of the hardest and most impactful problems of bringing such a groundbreaking technology to the masses. And so it's a great place to be where you can kind of be your own user as an engineer. And then if you're enabling people to be successful with the products, I mean you're working in a place where there's already such a strong community around it and you can help shape, foster, cultivate, activate, and drive commercial success in that community. So those are roles that tend themselves to being those that build the product for developer advocacy, those that are account executives that are enabling our customers to realize commercial success, and even hybrid roles like we call it field engineering, where you are a technical resource to drive success within customer accounts. And so all this is listed on roboflow.com/careers. And one thing that I actually kind of want to mention John that's kind of novel about the thing that's working at RoboFlow. So there's been a lot of discussion around remote companies and there's been a lot of discussion around in-person companies and do you need to be in the office? And one thing that we've kind of recognized is you can actually chart a third way. You can create a third way which we call satellite, which basically means people can work from where they most like to work and there's clusters of people, regular onsite's. And at RoboFlow everyone gets, for example, $2,500 a year that they can use to spend on visiting coworkers. And so what's sort of organically happened is team numbers have started to pull together these resources and rent out like, lavish Airbnbs for like a week and then everyone kind of like descends in and works together for a week and makes and creates things. And we call this lighthouses because you know, a lighthouse kind of brings ships into harbor and we have an emphasis on shipping. >> Yeah, quality people that are creative and doers and builders. You give 'em some cash and let the self-governing begin, you know? And like, creativity goes through the roof. It's a great story. I think that sums up the culture right there, Joseph. Thanks for sharing that and thanks for this great conversation. I really appreciate it and it's very inspiring. Thanks for coming on. >> Yeah, thanks for having me, John. >> Joseph Nelson, co-founder and CEO of RoboFlow. Hot company, great culture in the right place in a hot area, computer vision. This is going to explode in value. The edge is exploding. More use cases, more development, and developers are driving the change. Check out RoboFlow. This is theCUBE. I'm John Furrier, your host. Thanks for watching. (gentle music)

(upbeat music) >> Good morning everybody. Welcome back to Las Vegas. This is day four of theCUBE's wall-to-wall coverage of our Super Bowl, aka AWS re:Invent 2022. I'm here with my co-host, Paul Gillin. My name is Dave Vellante. Sanjay Poonen is in the house, CEO and president of Cohesity. He's sitting in as our guest market watcher, market analyst, you know, deep expertise, new to the job at Cohesity. He was kind enough to sit in, and help us break down what's happening at re:Invent. But Paul, first thing, this morning we heard from Werner Vogels. He was basically given a masterclass on system design. It reminded me of mainframes years ago. When we used to, you know, bury through those IBM blue books and red books. You remember those Sanjay? That's how we- learned back then. >> Oh God, I remember those, Yeah. >> But it made me think, wow, now you know IBM's more of a systems design, nobody talks about IBM anymore. Everybody talks about Amazon. So you wonder, 20 years from now, you know what it's going to be. But >> Well- >> Werner's amazing. >> He pulled out a 24 year old document. >> Yup. >> That he had written early in Amazon's evolution about synchronous design or about essentially distributed architectures that turned out to be prophetic. >> His big thing was nature is asynchronous. So systems are asynchronous. Synchronous is an illusion. It's an abstraction. It's kind of interesting. But, you know- >> Yeah, I mean I've had synonyms for things. Timeless architecture. Werner's an absolute legend. I mean, when you think about folks who've had, you know, impact on technology, you think of people like Jony Ive in design. >> Dave: Yeah. >> You got to think about people like Werner in architecture and just the fact that Andy and the team have been able to keep him engaged that long... I pay attention to his keynote. Peter DeSantis has obviously been very, very influential. And then of course, you know, Adam did a good job, you know, watching from, you know, having watched since I was at the first AWS re:Invent conference, at time was President SAP and there was only a thousand people at this event, okay? Andy had me on stage. I think I was one of the first guest of any tech company in 2011. And to see now this become like, it's a mecca. It's a mother of all IT events, and watch sort of even the transition from Andy to Adam is very special. I got to catch some of Ruba's keynote. So while there's some new people in the mix here, this has become a force of nature. And the last time I was here was 2019, before Covid, watched the last two ones online. But it feels like, I don't know 'about what you guys think, it feels like it's back to 2019 levels. >> I was here in 2019. I feel like this was bigger than 2019 but some people have said that it's about the same. >> I think it was 60,000 versus 50,000. >> Yes. So close. >> It was a little bigger in 2019. But it feels like it's more active. >> And then last year, Sanjay, you weren't here but it was 25,000, which was amazing 'cause it was right in that little space between Omicron, before Omicron hit. But you know, let me ask you a question and this is really more of a question about Amazon's maturity and I know you've been following them since early days. But the way I get the question, number one question I get from people is how is Amazon AWS going to be different under Adam than it was under Andy? What do you think? >> I mean, Adam's not new because he was here before. In some senses he knows the Amazon culture from prior, when he was running sales and marketing prior. But then he took the time off and came back. I mean, this will always be, I think, somewhat Andy's baby, right? Because he was the... I, you know, sent him a text, "You should be really proud of what you accomplished", but you know, I think he also, I asked him when I saw him a few weeks ago "Are you going to come to re:Invent?" And he says, "No, I want to leave this to be Adam's show." And Adam's going to have a slightly different view. His keynotes are probably half the time. It's a little bit more vision. There was a lot more customer stories at the beginning of it. Taking you back to the inspirational pieces of it. I think you're going to see them probably pulling up the stack and not just focused in infrastructure. Many of their platform services are evolved. Many of their, even application services. I'm surprised when I talk to customers. Like Amazon Connect, their sort of call center type technologies, an app layer. It's getting a lot. I mean, I've talked to a couple of Fortune 500 companies that are moving off Ayer to Connect. I mean, it's happening and I did not know that. So it's, you know, I think as they move up the stack, the platform's gotten more... The data centric stack has gotten, and you know, in the area we're working with Cohesity, security, data protection, they're an investor in our company. So this is an important, you know, both... I think tech player and a partner for many companies like us. >> I wonder the, you know, the marketplace... there's been a big push on the marketplace by all the cloud companies last couple of years. Do you see that disrupting the way softwares, enterprise software is sold? >> Oh, for sure. I mean, you have to be a ostrich with your head in the sand to not see this wave happening. I mean, what's it? $150 billion worth of revenue. Even though the growth rates dipped a little bit the last quarter or so, it's still aggregatively between Amazon and Azure and Google, you know, 30% growth. And I think we're still in the second or third inning off a grand 1 trillion or 2 trillion of IT, shifting not all of it to the cloud, but significantly faster. So if you add up all of the big things of the on-premise world, they're, you know, they got to a certain size, their growth is stable, but stalling. These guys are growing significantly faster. And then if you add on top of them, platform companies the data companies, Snowflake, MongoDB, Databricks, you know, Datadog, and then apps companies on top of that. I think the move to the Cloud is inevitable. In SaaS companies, I don't know why you would ever implement a CRM solution on-prem. It's all gone to the Cloud. >> Oh, it is. >> That happened 15 years ago. I mean, begin within three, five years of the advent of Salesforce. And the same thing in HR. Why would you deploy a HR solution now? You've got Workday, you've got, you know, others that are so some of those apps markets are are just never coming back to an on-prem capability. >> Sanjay, I want to ask you, you built a reputation for being able to, you know, forecast accurately, hit your plan, you know, you hit your numbers, you're awesome operator. Even though you have a, you know, technology degree, which you know, that's a two-tool star, multi-tool star. But I call it the slingshot economy. This is like, I mean I've seen probably more downturns than anybody in here, you know, given... Well maybe, maybe- >> Maybe me. >> You and I both. I've never seen anything like this, where where visibility is so unpredictable. The economy is sling-shotting. It's like, oh, hurry up, go Covid, go, go go build, build, build supply, then pull back. And now going forward, now pulling back. Slootman said, you know, on the call, "Hey the guide, is the guide." He said, "we put it out there, We do our best to hit it." But you had CrowdStrike had issues you know, mid-market, ServiceNow. I saw McDermott on the other day on the, on the TV. I just want to pay, you know, buy from the guy. He's so (indistinct) >> But mixed, mixed results, Salesforce, you know, Octa now pre-announcing, hey, they're going to be, or announcing, you know, better visibility, forward guide. Elastic kind of got hit really hard. HPE and Dell actually doing really well in the enterprise. >> Yep. >> 'Course Dell getting killed in the client. But so what are you seeing out there? How, as an executive, do you deal with such poor visibility? >> I think, listen, what the last two or three years have taught us is, you know, with the supply chain crisis, with the surge that people thought you may need of, you know, spending potentially in the pandemic, you have to start off with your tech platform being 10 x better than everybody else. And differentiate, differentiate. 'Cause in a crowded market, but even in a market that's getting tougher, if you're not differentiating constantly through technology innovation, you're going to get left behind. So you named a few places, they're all technology innovators, but even if some of them are having challenges, and then I think you're constantly asking yourselves, how do you move from being a point product to a platform with more and more services where you're getting, you know, many of them moving really fast. In the case of Roe, I like him a lot. He's probably one of the most savvy operators, also that I respect. He calls these speedboats, and you know, his core platform started off with the firewall network security. But he's built now a very credible cloud security, cloud AI security business. And I think that's how you need to be thinking as a tech executive. I mean, if you got core, your core beachhead 10 x better than everybody else. And as you move to adjacencies in these new platforms, have you got now speedboats that are getting to a point where they are competitive advantage? Then as you think of the go-to-market perspective, it really depends on where you are as a company. For a company like our size, we need partners a lot more. Because if we're going to, you know, stand on the shoulders of giants like Isaac Newton said, "I see clearly because I stand on the shoulders giants." I need to really go and cultivate Amazon so they become our lead partner in cloud. And then appropriately Microsoft and Google where I need to. And security. Part of what we announced last week was, last month, yeah, last couple of weeks ago, was the data security alliance with the biggest security players. What was I trying to do with that? First time ever done in my industry was get Palo Alto, CrowdStrike, Wallace, Tenable, CyberArk, Splunk, all to build an alliance with me so I could stand on their shoulders with them helping me. If you're a bigger company, you're constantly asking yourself "how do you make sure you're getting your, like Amazon, their top hundred customers spending more with that?" So I think the the playbook evolves, and I'm watching some of these best companies through this time navigate through this. And I think leadership is going to be tested in enormously interesting ways. >> I'll say. I mean, Snowflake is really interesting because they... 67% growth, which is, I mean, that's best in class for a company that's $2 billion. And, but their guide was still, you know, pretty aggressive. You know, so it's like, do you, you know, when it when it's good times you go, "hey, we can we can guide conservatively and know we can beat it." But when you're not certain, you can't dial down too far 'cause your investors start to bail on you. It's a really tricky- >> But Dave, I think listen, at the end of the day, I mean every CEO should not be worried about the short term up and down in the stock price. You're building a long-term multi-billion dollar company. In the case of Frank, he has, I think I shot to a $10 billion, you know, analytics data warehousing data management company on the back of that platform, because he's eyeing the market that, not just Teradata occupies today, but now Oracle occupies or other databases, right? So his tam as it grows bigger, you're going to have some of these things, but that market's big. I think same with Palo Alto. I mean Datadog's another company, 75% growth. >> Yeah. >> At 20% margins, like almost rule of 95. >> Amazing. >> When they're going after, not just the observability market, they're eating up the sim market, security analytics, the APM market. So I think, you know, that's, you look at these case studies of companies who are going from point product to platforms and are steadily able to grow into new tams. You know, to me that's very inspiring. >> I get it. >> Sanjay: That's what I seek to do at our com. >> I get that it's a marathon, but you know, when you're at VMware, weren't you looking at the stock price every day just out of curiosity? I mean listen, you weren't micromanaging it. >> You do, but at the end of the day, and you certainly look at the days of earnings and so on so forth. >> Yeah. >> Because you want to create shareholder value. >> Yeah. >> I'm not saying that you should not but I think in obsession with that, you know, in a short term, >> Going to kill ya. >> Makes you, you know, sort of myopically focused on what may not be the right thing in the long term. Now in the long arc of time, if you're not creating shareholder value... Look at what happened to Steve Bomber. You needed Satya to come in to change things and he's created a lot of value. >> Dave: Yeah, big time. >> But I think in the short term, my comments were really on the quarter to quarter, but over a four a 12 quarter, if companies are growing and creating profitable growth, they're going to get the valuation they deserve. >> Dave: Yeah. >> Do you the... I want to ask you about something Arvind Krishna said in the previous IBM earnings call, that IT is deflationary and therefore it is resistant to the macroeconomic headwinds. So IT spending should actually thrive in a deflation, in a adverse economic climate. Do you think that's true? >> Not all forms of IT. I pay very close attention to surveys from, whether it's the industry analysts or the Morgan Stanleys, or Goldman Sachs. The financial analysts. And I think there's a gluc in certain sectors that will get pulled back. Traditional view is when the economies are growing people spend on the top line, front office stuff, sales, marketing. If you go and look at just the cloud 100 companies, which are the hottest private companies, and maybe with the public market companies, there's way too many companies focused on sales and marketing. Way too many. I think during a downsizing and recession, that's going to probably shrink some, because they were all built for the 2009 to 2021 era, where it was all about the top line. Okay, maybe there's now a proposition for companies who are focused on cost optimization, supply chain visibility. Security's been intangible, that I think is going to continue to an investment. So I tell, listen, if you are a tech investor or if you're an operator, pay attention to CIO priorities. And right now, in our business at Cohesity, part of the reason we've embraced things like ransomware protection, there is a big focus on security. And you know, by intelligently being a management and a security company around data, I do believe we'll continue to be extremely relevant to CIO budgets. There's a ransomware, 20 ransomware attempts every second. So things of that kind make you relevant in a bank. You have to stay relevant to a buying pattern or else you lose momentum. >> But I think what's happening now is actually IT spending's pretty good. I mean, I track this stuff pretty closely. It's just that expectations were so high and now you're seeing earnings estimates come down and so, okay, and then you, yeah, you've got the, you know the inflationary factors and your discounted cash flows but the market's actually pretty good. >> Yeah. >> You know, relative to other downturns that if this is not a... We're not actually not in a downturn. >> Yeah. >> Not yet anyway. It may be. >> There's a valuation there. >> You have to prepare. >> Not sales. >> Yeah, that's right. >> When I was on CNBC, I said "listen, it's a little bit like that story of Joseph. Seven years of feast, seven years of famine." You have to prepare for potentially your worst. And if it's not the worst, you're in good shape. So will it be a recession 2023? Maybe. You know, high interest rates, inflation, war in Russia, Ukraine, maybe things do get bad. But if you belt tightening, if you're focused in operational excellence, if it's not a recession, you're pleasantly surprised. If it is one, you're prepared for it. >> All right. I'm going to put you in the spot and ask you for predictions. Expert analysis on the World Cup. What do you think? Give us the breakdown. (group laughs) >> As my... I wish India was in the World Cup, but you can't get enough Indians at all to play soccer well enough, but we're not, >> You play cricket, though. >> I'm a US man first. I would love to see one of Brazil, or Argentina. And as a Messi person, I don't know if you'll get that, but it would be really special for Messi to lead, to end his career like Maradonna winning a World Cup. I don't know if that'll happen. I'm probably going to go one of the Latin American countries, if the US doesn't make it far enough. But first loyalty to the US team, and then after one of the Latin American countries. >> And you think one of the Latin American countries is best bet to win or? >> I don't know. It's hard to tell. They're all... What happens now at this stage >> So close, right? >> is anybody could win. >> Yeah. You just have lots of shots of gold. I'm a big soccer fan. It could, I mean, I don't know if the US is favored to win, but if they get far enough, you get to the finals, anybody could win. >> I think they get Netherlands next, right? >> That's tough. >> Really tough. >> But... The European teams are good too, but I would like to see US go far enough, and then I'd like to see Latin America with team one of Argentina, or Brazil. That's my prediction. >> I know you're a big Cricket fan. Are you able to follow Cricket the way you like? >> At god unearthly times the night because they're in Australia, right? >> Oh yeah. >> Yeah. >> I watched the T-20 World Cup, select games of it. Yeah, you know, I'm not rapidly following every single game but the World Cup games, I catch you. >> Yeah, it's good. >> It's good. I mean, I love every sport. American football, soccer. >> That's great. >> You get into basketball now, I mean, I hope the Warriors come back strong. Hey, how about the Warriors Celtics? What do we think? We do it again? >> Well- >> This year. >> I'll tell you what- >> As a Boston Celtics- >> I would love that. I actually still, I have to pay off some folks from Palo Alto office with some bets still. We are seeing unprecedented NBA performance this year. >> Yeah. >> It's amazing. You look at the stats, it's like nothing. I know it's early. Like nothing we've ever seen before. So it's exciting. >> Well, always a pleasure talking to you guys. >> Great to have you on. >> Thanks for having me. >> Thank you. Love the expert analysis. >> Sanjay Poonen. Dave Vellante. Keep it right there. re:Invent 2022, day four. We're winding up in Las Vegas. We'll be right back. You're watching theCUBE, the leader in enterprise and emerging tech coverage. (lighthearted soft music)

(light corporate music) >> Welcome back, everyone, to VMware Explore 22. I'm John Furrier, host of theCUBE with Dave Vellante. Our 12th year covering VMware's User Conference, formerly known as VMworld, now rebranded as VMware Explore. Two great cube alumnus coming down the cube. Ricky Cooper, SVP, Worldwide Partner Commercials VMware, great to see you. Thanks for coming on. >> Thank you. >> We just had a great chat- >> Good to see you again. >> With the Discovery and, of course, Joseph George, vice president of Compute Industry Alliances. Great to have you on. Great to see you. >> Great to see you, John. >> So guys this year is very curious in VMware. A lot goin' on, the name change, the event. Big, big move. Bold move. And then they changed the name of the event. Then Broadcom buys them. A lot of speculation, but at the end of the day, this conference kind of, people were wondering what would be the barometer of the event. We're reporting this morning on the keynote analysis. Very good mojo in the keynote. Very transparent about the Broadcom relationship. The expo floor last night was buzzing. >> Mhm. >> I mean, this is not a show that's lookin' like it's going to be, ya' know, going down. >> Yeah. >> This is clearly a wave. We're calling it Super Cloud. Multi-Cloud's their theme. Clearly the cloud's happenin'. We not to date ourselves, but 2013 we were discussing on theCUBE- >> We talked about that. Yeah. Yeah. >> Discover about DevOps infrastructure as code- >> Mhm. >> We're full realization now of that. >> Yep. >> This is where we're at. You guys had a great partnership with VMware and HPE. Talk about where you guys see this coming together because customers are refactoring. They are lookin' at Cloud Native. The whole Broadcom visibility to the VMware customer bases activated them. They're here and they're leaning in. >> Yeah. >> What's going on? >> Yeah. Absolutely. We're seeing a renewed interest now as customers are looking at their entire infrastructure, bottoms up, all the way up the stack, and the notion of a hybrid cloud, where you've got some visibility and control of your data and your infrastructure and your applications, customers want to live in that sort of a cloud environment and so we're seeing a renewed interest. A lot of conversations we're having with customers now, a lot of customers committing to that model where they have applications and workloads running at the Edge, in their data center, and in the public cloud in a lot of cases, but having that mobility, having that control, being able to have security in their own, you know, in their control. There's a lot that you can do there and, obviously, partnering with VMware. We've been partners for so long. >> 20 years about. Yeah. Yeah. >> Yeah. At least 20 years, back when they invented stuff, they were inventing way- >> Yeah. Yeah. Yeah. >> VMware's got a very technical culture, but Ricky, I got to say that, you know, we commented earlier when Raghu was on, the CEO, now CEO, I mean, legendary product. I sent the trajectory to VMware. Everyone knows that. VMware, I can't know whether to tell it was VMware or HP, HP before HPE, coined hybrid- >> Yeah. >> 'Cause you guys were both on. I can't recall, Dave, which company coined it first, but it was either one of you guys. Nobody else was there. >> It was the partnership. >> Yes. I- (cross talking) >> They had a big thing with Pat Gelsinger. Dave, remember when he said, you know, he got in my grill on theCUBE live? But now you see- >> But if you focus on that Multi-Cloud aspect, right? So you've got a situation where our customers are looking at Multi-Cloud and they're looking at it not just as a flash in the pan. This is here for five years, 10 years, 20 years. Okay. So what does that mean then to our partners and to our distributors? You're seeing a whole seed change. You're seeing partners now looking at this. So, look at the OEMs, you know, the ones that have historically been vSphere customers are now saying, they're coming in droves saying, okay, what is the next step? Well, how can I be a Multi-Cloud partner with you? >> Yep. Right. >> How can I look at other aspects that we're driving here together? So, you know, GreenLake is a great example. We keep going back to GreenLake and we are partaking in GreenLake at the moment. The real big thing for us is going to be, right, let's make sure that we've got the agreements in place that support this SaaS and subscription motion going forward and then the sky's the limit for us. >> You're pluggin' that right into GreenLake, right? >> Well, here's why. Here's why. So customers are loving the fact that they can go to a public cloud and they can get an SLA. They come to a, you know, an On-Premise. You've got the hardware, you've got the software, you've got the, you know, the guys on board to maintain this through its life cycle. >> Right. I mean, this is complicated stuff. >> Yeah. >> Now we've got a situation where you can say, hey, we can get an SLA On-Premise. >> Yeah. And I think what you're seeing is it's very analogous to having a financial advisor just manage your portfolio. You're taking care of just submitting money. That's really a lot of what the customers have done with the public cloud, but now, a lot of these customers are getting savvy and they have been working with VMware Technologies and HPE for so long. They've got expertise. They know how they want their workloads architected. Now, we've given them a model where they can leverage the Cloud platform to be able to do this, whether it's On-Premise, The Edge, or in the public cloud, leveraging HPE GreenLake and VMware. >> Is it predominantly or exclusively a managed service or do you find some customers saying, hey, we want to manage ourself? How, what are you seeing is the mix there? >> It is not predominantly managed services right now. We're actually, as we are growing, last time we talked to HPE Discover we talked about a whole bunch of new services that we've added to our catalog. It's growing by leaps and bounds. A lot of folks are definitely interested in the pay as you go, obviously, the financial model, but are now getting exposed to all the other management that can happen. There are managed services capabilities, but actually running it as a service with your systems On-Prem is a phenomenal idea for all these customers and they're opening their eyes to some new ways to service their customers better. >> And another phenomenon we're seeing there is where partners, such as HPA, using other partners for various areas of their services implementation as well. So that's another phenomenon, you know? You're seeing the resale motion now going into a lot more of the services motion. >> It's interesting too, you know, I mean, the digital modernization that's goin' on. The transformation, whatever you want to call it, is complicated. >> Yeah. >> That's clear. One of the things I liked about the keynote today was the concept of cloud chaos. >> Yeah. >> Because we've been saying, you know, quoting Andy Grove at Intel, "Let chaos rain and rain in the chaos." >> Mhm. >> And when you have inflection points, complexity, which is the chaos, needs to be solved and whoever solves it kicks the inflection point, that's up into the right. So- >> Prime idea right here. Yeah. >> So GreenLake is- >> Well, also look at the distribution model and how that's changed. A couple of points on a deal. Now they're saying, "I'll be your aggregator. I'll take the strain and I'll give you scale." You know? "I'll give you VMware Scale for all, you know, for all of the various different partners, et cetera." >> Yeah. So let's break this down because this is, I think, a key point. So complexity is good, but the old model in the Enterprise market was- >> Sure. >> You solve complexity with more complexity. >> Yeah. >> And everybody wins. Oh, yeah! We're locked in! That's not what the market wants. They want some self-service. They want, as a service, they want easy. Developer first security data ops, DevOps, is already in the cycle, so they're going to want simpler. >> Yeah. >> Easier. Faster. >> And this is kind of why I'll say, for the big announcement today here at VMware Explore, around the VMware vSphere Distributed Services Engine, Project Monterey- >> Yeah. >> That we've talked about for so long, HPE and VMware and AMD, with the Pensando DPU, actually work together to engineer a solution for exactly that. The capabilities are fairly straightforward in terms of the technologies, but actually doing the work to do integration, joint engineering, make sure that this is simple and easy and able to be running HPE GreenLake, that's- >> That's invested in Pensando, right? >> We are. >> We're all investors. Yeah. >> What's the benefit of that? What's, that's a great point you made. What's the value to the customer, bottom line? That deep co-engineering, co-partnering, what does it deliver that others don't do? >> Yeah. Well, I think one example would be, you know, a lot of vendors can say we support it. >> Yep. >> That's great. That's actually a really good move, supporting it. It can be resold. That's another great move. I'm not mechanically inclined to where I would go build my own car. I'll go to a dealership and actually buy one that I can press the button and I can start it and I can do what I need to do with my car and that's really what this does is the engineering work that's gone on between our two companies and AMD Pensando, as well as the business work to make that simple and easy, that transaction to work, and then to be able to make it available as a service, is really what made, it's, that's why it's such a winner winner with our- >> But it's also a lower cost out of the box. >> Yep. >> Right. >> So you get in whatever. Let's call it 20%. Okay? But there's, it's nuanced because you're also on a new technology curve- >> Right. >> And you're able to absorb modern apps, like, you know, we use that term as a bromide, but when I say modern apps, I mean data-rich apps, you know, things that are more AI-driven not the conventional, not that people aren't doing, you know, SAP and CRM, they are, but there's a whole slew of new apps that are coming in that, you know, traditional architectures aren't well-suited to handle from a price performance standpoint. This changes that doesn't it? >> Well, you think also of, you know, going to the next stage, which is to go to market between the two organizations that before. At the moment, you know, HPE's running off doing various different things. We were running off to it again, it's that chaos that you're talking about. In cloud chaos, you got to go to market chaos. >> Yeah. >> But by simplifying four or five things, what are we going to do really well together? How do we embed those in GreenLake- >> Mhm. >> And be known in the marketplace for these solutions? Then you get a, you know, an organization that's really behind the go to market. You can help with sales activation the enablement, you know, and then we benefit from the scale of HPE. >> Yeah. >> What are those solutions I mean? Is it just, is it I.S.? Is it, you know, compute storage? >> Yeah. >> Is it, you know, specific, you know, SAP? Is it VDI? What are you seeing out there? >> So right now, for this specific technology, we're educating our customers on what that could be and, at its core, this solution allows customers to take services that normally and traditionally run on the compute system and run on a DPU now with Project Monterey, and this is now allowing customers to think about, okay, where are their use cases. So I'm, rather than going and, say, use it for this, we're allowing our customers to explore and say, okay, here's where it makes sense. Where do I have workloads that are using a lot of compute cycles on services at the compute level that could be somewhere else like networking as a great example, right? And allowing more of those compute cycles to be available. So where there are performance requirements for an application, where there is timely response that's needed for, you know, for results to be able to take action on, to be able to get insight from data really quick, those are places where we're starting to see those services moving onto something like a DPU and that's where this makes a whole lot more sense. >> Okay. So, to get this right, you got the hybrid cloud, right? >> [Ricky And Joseph] Yes. >> You got GreenLake and you got the distributed engine. What's that called the- >> For, it's HPE ProLiant- >> ProLiant with- >> The VMware- >> With vSphere. >> That's the compute- >> Distributed. >> Okay. So does the customer, how do you guys implement that with the customer? All three at the same time or they mix and match? What's that? How does that work? >> All three of those components. Yeah. So the beauty of the HP ProLiant with VMware vSphere-distributed services engine- >> Mhm. >> Also known as Project Monterey for those that are keeping notes at home- >> Mhm. >> It's, again, already pre-engineered. So we've already worked through all the mechanics of how you would have to do this. So it's not something you have to go figure out how you build, get deployment, you know, work through those details. That's already done. It is available through HPE GreenLake. So you can go and actually get it as a service in partnership with our customer, our friends here at VMware, and because, if you're familiar and comfortable with all the things that HP ProLiant has done from a security perspective, from a reliability perspective, trusted supply chain, all those sorts of things, you're getting all of that with this particular (indistinct). >> Sumit Dhawan had a great quote on theCUBE just an hour or so ago. He said you have to be early to be first. >> Yeah. (laughing) >> I love that quote. Okay. So you were- >> I fought the urge. >> You were first. You were probably a little early, but do you have a lead? I know you're going to say yes, okay. Let's just- >> Okay. >> Let's just assume that. >> Okay. Yeah. >> Relative to the competition, how do you know? How do you determine that? >> If we have a lead or not? >> Yeah. If you lead. If you're the best. >> We go to the source of the truth which is our customers. >> And what do they tell you? What do you look at and say, okay, now, I mean, when you have that honest conversation and say, okay, we are, we're first, we're early. We're keeping our lead. What are the things that you- >> I'll say it this way. I'll say it this way. We've been in a lot of businesses where there, where we do compete head-to-head in a lot of places. >> Mhm. >> And we know how that sales process normally works. We're seeing a different motion from our customers. When we talk about HPE GreenLake, there's not a lot of back and forth on, okay, well, let me go shop around. It is HP Green. Let's talk about how we actually build this solution. >> And I can tell you, from a VMware perspective, our customers are asking us for this the other way around. So that's a great sign is that, hey, we need to see this partnership come together in GreenLake. >> Yeah. >> It's the old adage that Amazon used to coin and Andy Jassy, you know, they do the undifferentiated heavy lifting. >> [Ricky And Joseph] Yeah. >> A lot of that's now Cloud operations. >> Mhm. >> Underneath it is infrastructure's code to the developer. >> That's right. >> That's at scale. >> That's right. >> And so you got a lot of heavy lifting being done with GreenLake- >> Right. >> Which is why there's no objections probably. >> Right. >> What's the choice? What are you going to shop? >> Yeah. >> There's nothing to shop around. >> Yeah, exactly. And then we've got, you know, that is really icing on the cake that we've, you know, that we've been building for quite some time and there is an understanding in the market that what we do with our infrastructure is hardened from a reliability and quality perspective. Like, times are tough right now. Supply chain issues, all that stuff. We've talked, all talked about it, but at HPE, we don't skimp on quality. We're going to spend the dollars and time on making sure we got reliability and security built in. It's really important to us. >> We had a great use case. The storage team, they were provisioning with containers. >> Yes. >> Storage is a service instantly we're seeing with you guys with VMware. Your customers' bringing in a lot of that into the mix as well. I got to ask 'cause every event we talk about AI and machine learning- >> Mhm. >> Automation and DevOps are now infiltrating in with the CICD pipeline. Security and data become a big conversation. >> [Ricky And Joseph] Agreed. >> Okay. So how do you guys look at that? Okay. You sold me on Green. Like, I've been a big fan from day one. Now, it's got maturity on it. I know it's going to get a lot more headroom to do. There's still a lot of work to do, but directionally it's pretty accurate, you know? It's going to be a success. There's still concern about security, the data layer. That's agnostic of environment, private cloud, hybrid, public, and Edge. So that's important and security- >> Great. >> Has got a huge service area. >> Yeah. >> These are on working progress. >> Yeah. Yeah. >> How do you guys view those? >> I think you've just hit the net on the head. I mean, I was in the press and journalist meetings yesterday and our answer was exactly the same. There is still so much work that can be done here and, you know, I don't think anybody is really emerging as a true leader. It's just a continuation of, you know, tryin' to get that right because it is what is the most important thing to our customers. >> Right. >> And the industry is really sort of catching up to that. >> And, you know, when you start talking about privacy and when you, it's not just about company information. It's about individuals' information. It's about, you know, information that, if exposed, actually could have real impact on people. >> Mhm. >> So it's more than just an I.T. problem. It is actually, and from HPE's perspective, security starts from when we're picking our suppliers for our components. Like, there are processes that we put into our entire trusted supply chain from the factory on the way up. I liken it to my golf swing. My golf swing. I slice right like you wouldn't believe. (John laughing) But when I go to the golf pros, they start me back at the mechanics, the foundational pieces. Here's where the problems are and start workin' on that. So my view is, our view is, if your infrastructure is not secure, you're goin' to have troubles with security as you go further up. >> Stay in the sandbox. >> Yeah. >> Yeah. So to speak, you know, they're driving range on the golf analogy there. I love that. Talk about supply chain security real quick because you mentioned supply chain on the hardware side. You're seeing a lot of open source and supply chain in software, trusted software. >> Yep. >> How does GreenLake look at that? How do you guys view that piece of it? That's an important part. >> Yeah. Security is one of the key pillars that we're actually driving as a company right now. As I said, it's important to our customers as they're making purchasing decisions and we're looking at it from the infrastructure all the way up to the actual service itself and that's the beauty of having something like HPE GreenLake. We don't have to pick, is the infrastructure or the middle where, or the top of stack application- >> It's (indistinct), right? >> It's all of it. >> Yeah. >> It's all of it. That matters. >> Quick question on the ecosystem posture. So- >> Sure. >> I remember when HP was, you know, one company and then the GSIs were a little weird with HP because of EDS, you know? You had data protector so we weren't really chatting up Veeam at the time, right? And as soon as the split happened, ecosystem exploded. Now you have a situation where you, Broadcom, is acquiring VMware. You guys, big Broadcom customer. Has your attitude changed or has it not because, oh, we meet with the customers already. Well, you've always said that, but have you have leaned in more? I mean, culturally, is HPE now saying, hmm, now we have some real opportunities to partner in new ways that we don't have to sleep with one eye open, maybe. (John laughing) >> So first of all, VMware and HPE, we've got a variety of different partners. We always have. >> Mhm. >> Well before any Broadcom announcement came along. >> Yeah, sure. >> We've been working with a variety of partners. >> And that hasn't changed. >> And that hasn't changed. And, if your question is, has our posture toward VMware changed at all, the answer's absolutely not. We believe in what VMware is doing. We believe in what our customers are doing with VMware and we're going to continue to work with VMware and partner with the (indistinct). >> And of course, you know, we had to spin out ourselves in November of last year, which I worked on, you know, the whole Dell thing. >> Yeah. We still had the same chairman. >> Yeah. There- (Dave chuckling) >> Yeah, but since then, I think what's really become very apparent and not, it's not just with HPE, but with many of our partners, many of the OEM partners, the opportunity in front of us is vast and we need to rely on each other to help us as, you know, solve the customer problems that are out there. So there's a willingness to overlook some things that, in the past, may have been, you know, barriers. >> But it's important to note also that it's not that we have not had history- >> Yeah. >> Right? Over, we've got over 200,000 customers join- >> Hundreds of millions of dollars of business- >> 100,000, over 10,000, or 100,000 channel partners that we all have in common. >> Yeah. Yeah. >> Yep. >> There's numerous- >> And independent of the whole Broadcom overhang there. >> Yeah. >> There's the ecosystem floor. >> Yeah. >> The expo floor. >> Right. >> I mean, it's vibrant. I mean, there's clearly a wave coming, Ricky. We talked about this briefly at HPE Discover. I want to get an update from your perspectives, both of you, if you don't mind weighing in on this. Clearly, the wave, we're calling it the Super Cloud, 'cause it's not just Multi-Cloud. It's completely different looking successes- >> Smart Cloud. >> It's not just vendors. It's also the customers turning into clouds themselves. You look at Goldman Sachs and- >> Yep. >> You know, I think every vertical will have its own power law of Cloud players in the future. We believe that to be true. We're still testing that assumption, but it's trending in when you got OPEX- >> [Ricky And Joseph] Right. >> Has to go to in-fund statement- >> Yeah. >> CapEx goes too. Thanks for the Cloud. All that's good, but there's a wave coming- >> Yeah. >> And we're trying to identify it. What do you guys see as this wave 'cause beyond Multi-Cloud and the obvious nature of that will end up happening as a state and what happens beyond that interoperability piece, that's a whole other story, and that's what everyone's fighting for, but everyone out in that ecosystem, it's a big wave coming. They've got their surfboards. They're ready to go. So what do you guys see? What is the next wave that everyone's jacked up about here? >> Well, I think that the Multi-Cloud is obviously at the epicenter. You know, if you look at the results that are coming in, a lot of our customers, this is what's leading the discussion and now we're in a position where, you know, we've brought many companies over the last few years. They're starting to come to fruition. They're starting to play a role in, you know, how we're moving forward. >> Yeah. >> Some of those are a bit more applicable to the commercial space. We're finding commercial customers that never bought from us before. Never. Hundreds and hundreds are coming through our partner networks every single quarter, you know? So brand new to VMware. The trick then is how do you nurture them? How do you encourage them? >> So new logos are comin' in. >> New logos are coming in all the time, all the time, from, you know, from across the ecosystem. It's not just the OEMs. It's all the way back- >> So the ecosystem's back of VMware. >> Unbelievably. So what are we doing to help that? There's two big things that we've announced in the recent weeks is that Partner Connect 2.0. When I talked to you about Multi-Cloud and what the (indistinct), you know, the customers are doing, you see that trend. Four, five different separate clouds that we've got here. The next piece is that they're changing their business models with the partners. Their services is becoming more and more apparent, et cetera, you know? And the use of other partners to do other services, deployment, or this stuff is becoming prevalent. Then you've got the distributors that I talked about with their, you know, their, then you route to market, then you route to business. So how do you encapsulate all of that and ensure your rewarding partners on all aspects of that? Whether it's deployment, whether it's test and depth, it's a points-based system we've put in place now- >> It's a big pie that's developing. The market's getting bigger. >> It's getting so much bigger. And then you help- >> I know you agree, obviously, with that. >> Yeah. Absolutely. In fact, I think for a long time we were asking the question of, is it going to be there or is it going to be here? Which was the wrong question. (indistinct cross talking) Now it's everything. >> Yeah. >> And what I think that, what we're seeing in the ecosystem, is that people are finding the spots that, where they're going to play. Am I going to be on the Edge? >> Yeah. >> Am I going to be on Analytics Play? Am I going to be, you know, Cloud Transition Play? There's a lot of players are now emerging and saying, we're- >> Yeah. >> We're, we now have a place, a part to play. And having that industry view not just of, you know, a commercial customer at that level, but the two of us are lookin' at Teleco, are looking at financial services, at healthcare, at manufacturing. How do these new ecosystem players fit into the- >> (indistinct) lifting. Everyone can see their position there. >> Right. >> We're now being asked for simplicity and talk to me about partner profitability. >> Yes. >> How do I know where to focus my efforts? Am I spread too thin? And, you know, that's, and my advice that the partner ecosystem out there is, hey, let's pick out spots together. Let's really go to, and then strategic solutions that we were talking about is a good example of that. >> Yeah. >> Sounds like composability to me, but not to go back- (laughing) Guys, thanks for comin' on. I think there's a big market there. I think the fog is lifted. People seeing their spot. There's value there. Value creation equals reward. >> Yeah. >> Simplicity. Ease of use. This is the new normal. Great job. Thanks for coming on and sharing. (cross talking) Okay. Back to live coverage after this short break with more day one coverage here from the blue set here in Moscone. (light corporate music)

(bright intro music) >> Welcome back everyone to VMware Explore '22. I'm John Furrier, host of the key with David Lante, our 12th year covering VMware's user conference, formerly known as VM-World now rebranded as VMware Explore. You got two great Cube alumni coming on the Cube. Ricky Cooper, SVP worldwide partner commercial VMware. Great to see you, thanks for coming on. >> Thank you. >> We just had a great chat-- >> Good to see you again. >> At HPE discover. And of course, Joseph George, Vice President of Compute Industry Alliances. Great to have you on. Great to see you. >> Great to see you, John. >> So guys, this year is very curious, VMware, a lot going on. The name change of the event. Big move, Bold move. And then they changed the name of the event. Then Broadcom buys them. A lot of speculation, but at the end of the day, this conference... Kind of people were wondering what would be the barometer of the event. We were reporting this morning on the keynote analysis. Very good mojo in the keynote. Very transparent about the Broadcom relationship. The expo floor last night was buzzing. I mean, this is not a show that's looking like it's going to be, you know, going down. This is clearly a wave. We're calling it super cloud, multi-cloud's their theme. Clearly the cloud's happening. Not to date ourselves, but 2013 we were discussing on the-- >> We talked about that, yeah. >> HPE Discover about DevOps infrastructure as code. We're full realization now of that. This is where we're at. You guys had a great partnership with VMware and HPE. Talk about where you guys see this coming together because the customers are refactoring, they are looking at cloud native, the whole Broadcom visibility to the VMware customer bases activated them. They're here and they're leaning in. What's going on? >> Yeah absolutely, we're seeing a renewed interest now as customers are looking at their entire infrastructure, bottoms up all the way up the stack and the notion of a hybrid cloud, where you've got some visibility and control of your data and your infrastructure and applications. Customers want to live in that sort of a cloud environment. And so we're seeing a renewed interest, a lot of conversations we're having with customers now, a lot of customers committing to that model, where they have applications and workloads running at the edge in their data center and in the public cloud in a lot of cases. But having that mobility, having that control, being able to have security in their own control. There's a lot that you can do there. And obviously partnering with VMware. We've been partners for so long. >> 20 years, at least. >> At least 20 years. Back when they invented stuff. They were inventing way-- >> VMware's got a very technical culture, but Ricky, I got to say that we commented earlier when Ragu was on the CEO now CEO, I mean legendary product guy, set the trajectory to VMware, everyone knows that. I can't know whether it was VMware or HP, HP before HPE coined Hybrid. Cause you guys were both on, I can't recall Dave, which company coined it first, but it was either one of you guys. Nobody else was there. >> It was the partnership. (men chuckle) >> Hybrid Cloud I had a big thing with Pat Gelsinger, Dave. Remember when he said he got in my grill on theCube, live, but now you see. >> You focus on that multi-cloud aspect. So you've got a situation where our customers are looking at multi-cloud and they're looking at it, not just as a flash in the pan. This is here for five years, 10 years, 20 years. Okay. So what does that mean then to our partners and to our distributors, you're seeing a whole seed change. You're seeing partners now looking at this. So look at the OEMs, the ones that have historically been vSphere customers and now saying they're coming in, drove saying, okay, what is the next step? Well, how can I be a multi-cloud partner with you? How can I look at other aspects that we're driving here together? So GreenLake is a great example. We keep going back to GreenLake and we are partaking in GreenLake at the moment. The real big thing for us is going to be right. Let's make sure that we've got the agreements in place that support this Sasson subscription motion going forward. And then the sky's the limit for us. >> You're plugging that right into. >> Well, here's why, here's why, so customers are loving the fact that they can go to a public cloud and they can get an SLA. They come to an on-premise, you've got the hardware, you've got the software, you've got the guys on board to maintain this through its life cycle. I mean, this is complicated stuff. Now we've got a situation where you can say, Hey, we can get an SLA on premise. >> And I think what you're seeing is it's very analogous to having a financial advisor, just manage your portfolio. You're taking care of just submitting money. That's really a lot of what a lot of the customers have done with the public cloud. But now a lot of these customers are getting savvy. They have been working with VMware technologies and HPE for so long. they've got expertise. They know how they want their workloads architected. Now we've given them a model where they can leverage the cloud platform to be able to do this, whether it's on premise, the edge or in the public cloud, leveraging HPE GreenLake and VMware. >> Is it predominantly or exclusively a managed service or do you find some customers saying, hey, we want to manage ourself. What are you seeing is the mix there? >> It is not predominantly managed services right now. We're actually, as we are growing last time we talked at HPE discover. We talked about a whole bunch of new services that we've added to our catalog. It's growing by leaps and bounds. A lot of folks are definitely interested in the pay as you go, obviously the financial model, but are now getting exposed to all the other management that can happen. There are managed services capabilities, but actually running it as a service with your systems on-prem is a phenomenal idea for all these customers. And they're opening their eyes to some new ways to service their customers better. >> And another phenomenon we're seeing there is where partners such as HPA, using other partners for various areas of the services implementation as well. So that's another phenomenon. You're seeing the resale motion now going into a lot more of the services motion. >> It's interesting too. I mean the digital modernization that's going on, the transformation whatever you want to call it, is complicated, that's clear. One of the things I liked about the keynote today was the concept of cloud chaos, because we've been saying quoting Andy Grove, Next Intel, let chaos rain and rain in the chaos. And when you have inflection points, complexity, which is the chaos, needs to be solved and whoever solves it and kicks the inflection point, that's up and to the right. >> So prime idea right here. So. >> GreenLake is, well. >> Also look at the distribution model and how that's changed a couple of points on a deal. Now they're saying I'll be your aggregator. I'll take the strain and I'll give you scale. I'll give you VMware scale for all of the various different partners, et cetera. >> Yeah. So let's break this down because this is, I think a key point. So complexity is good, but the old model in the enterprise market was, you solve complexity with more complexity and everybody wins. Oh yeah, we're locked in. That's not what the market wants. They want self- service, they want as a service, they want easy, developer first security data ops. DevOps is already in the cycle. So they're going to want simpler, easier, faster. >> And this is kind of why I I'll say for the big announcement today here at VMware Explorer around the VMware vSphere distributed services engine, project Monterey that we've talked about for so long, HPE and VMware and AMD with the Pensando DPU actually work together to engineer a solution for exactly that. The capabilities are fairly straightforward in terms of the technologies, but actually doing the work to do integration, joint engineering, make sure that this is simple and easy and able to be running HPE GreenLake. >> We invested in Pensando right, we are investors. >> What's the benefit of that. That's a great point. You made what's the value to the customer bottom line, that deep, co-engineering, co-partnering, what is it deliver that others don't do? >> Yeah. Well, I think one example would be a lot of vendors can say we support it. >> Yep. That's great. That's actually a really good move, supporting it. It can be resold. That's another great move. I'm not mechanically inclined to where I would go build my own car. I'll go to a dealership and actually buy one that I can press the button and I can start it and I can do what I need to do with my car. And that's really what this does is the engineering work that's gone on between our two companies and AMD Pensando as well as the business work to make that simple and easy that transaction to work. And then to be able to make it available as a service is really what made, that's why it's such a winner here... >> But, it's also a lower cost out of the box. Yes. So you get in whatever it's called a 20%. Okay. But there's nuance because you're also on a new technology curve and you're able to absorb modern apps. We use that term as a promo, but when I say modern apps, I mean data, rich apps, things that are more AI driven. Not the conventional, not that people aren't doing, you know, SAP and CRM, they are. But, there's a whole slew of new apps that are coming in that traditional architectures aren't well suited to handle from a price performance standpoint. This changes that doesn't it? >> Well, you think also of going to the next stage, which is the go to market between the two organizations that before at the moment, HPE is running off doing various different things. We were running off to. Again, that chaos that you're talking about in cloud chaos, you got to go to market chaos, but by simplifying four or five things, what are we going to do really well together? How do we embed those in GreenLake and be known in the marketplace for these solutions? Then you get an organization that's really behind the go to market. You can help with sales, activation, the enablement. And then we benefit from the scale of HPE. >> Yeah. What are those solutions, I mean... Is it just, is it IS? Is it compute storage? Is it specific SAP? Is it VDI? What are you seeing out there? >> So right now for this specific technology, we're educating our customers on what that could be. And at its core, this solution allows customers to take services that normally and traditionally run on the compute system and run on a DPU now with project Monterey. And this is now allowing customers to think about where are their use cases. So I'm rather than going and say, use it for this. We're allowing our customers to explore and say, okay, here's where it makes sense. Where do I have workloads that are using a lot of compute cycles on services at the compute level? That could be somewhere else like networking as a great example, and allowing more of those compute cycles to be available. So where there are performance requirements for an application where there are timely response that's needed for results to be able to take action on, to be able to get insight from data really quick. Those are places where we're starting to see the services moving onto something like a DPU. And that's where this makes a whole lot more sense. >> Okay, so to get this right? You got the hybrid cloud, right? You got GreenLake and you got the distributed engine. What's that called? >> It's HPE Proliant Proliant with the VMware, VSphere. >> VSphere. That's the compute distributed. Okay. So does the customer, how do you guys implement that with the customer all three at the same time or they mix and match? How's that work? >> All three of those components. So the beauty of the HP Proliant with VMware vSphere distributed services engine also now is project Monterey for those that are keeping notes at home. Again already pre-engineered so we've already worked through all the mechanics of how you would have to do this. So it's not something you have to go figure out how you build, get deployment, work through those details. That's already done. It is available through HPE GreenLake. So you can go and actually get it as a service in partnership with our customer, our friends here at VMware. And because if you're familiar and comfortable with all the things that HP Proliant has done from a security perspective, from a reliability perspective, trusted supply chain, all those sorts of things, you're getting all of that with this particular solution. >> Sumit Dhawan had a great quote on theCube just a hour or so ago. He said you have to be early to be first. Love that quote. Okay. So you were first, you were probably a little early, but do you have a lead? I know you're going to say yes. Okay. Let's just assume that okay. Relative to the competition, how do you know? How do you determine that? >> If we have a lead or not? >> Yeah, if you lead, if you're the best. >> We go to the source of the truth, which is our customers. >> And what do they tell you? What do you look at and say, okay, now, I mean, when you have that honest conversation and say, okay, we are, we're first, we're early, we're keeping our lead. What are the things that you look at, as indicators? >> I'll say it this way. We've been in a lot of businesses where we do compete head-to-head in a lot of places and we know how that sales process normally works. We're seeing a different motion from our customers. When we talk about HPE GreenLake, there's not a lot of back and forth on, okay, well let me go shop around. It is HP GreenLake, let's talk about how we actually build this solution. >> And I can tell you from a VMware perspective, our customers are asking us for this the other way around. So that's a great sign. Is that, Hey, we need to see this partnership come together in GreenLake. >> Yeah. Okay. So you would concur with that? >> Absolutely. So third party validation. >> From Switzerland. Yeah. >> Bring it with you over here. >> We're talking about this earlier on, I mean, of course with I mentioned earlier on there's some contractual things that you've got to get in place as you are going through this migration into Sasson subscription, et cetera. And so we are working as hard as we can to make sure, Hey, let's really get this contract in place as quickly as possible, it's what the customers are asking us. >> We've been talking about this for years, you know, see containers being so popular. Now, Kubernetes becoming that layer of bringing people to bringing things together. It's the old adage that Amazon used to coin and Andy Jassy, they do the undifferentiated, heavy lifting. A lot of that's now that's now cloud operations. Underneath is infrastructure's code to the developer, right. That's at scale. >> That's right. >> And so you got a lot of heavy lifting being done with GreenLake. Which is why there's no objections probably. >> Right absolutely. >> What's the choice. What do you even shop? >> Yeah. There's nothing to shop around. >> Yeah, exactly. And then we've, that is really icing on the cake that we've, we've been building for quite some time. There is an understanding in the market that what we do with our infrastructure is hardened from a reliability and quality perspective. Times are tough right now, supply chain issues, all that stuff, we've talked about it. But at HPE, we don't skimp on quality. We're going to spend the dollars and time on making sure we got reliability and security built in. It's really important to us. >> We get a great use case, the storage team, they were provisioning with containers. Storage is a service, instantly. We're seeing with you guys with VMware, your customers bringing in a lot of that into the mix as well. I got to ask. Cause every event we talk about AI and machine learning, automation and DevOps are now infiltrating in with the Ci/CD pipeline security and data become a big conversation. >> Agreed. >> Okay. So how do you guys look at that? Okay. You sold me on green. I've been a big fan from day one. Now it's got maturity on it. I know it's going to get a lot more headroom to do there. It's still a lot of work to do, but directionally it's pretty accurate. It's going to be going to be success. There's still concerns about security, the data layer. That's agnostic of environment, private cloud hybrid, public and edge. So that's important and security has got a huge service area. These are a work in progress. How do you guys view those? >> I think you've just hit the nail on the head. I mean, I was in the press and journalist meetings yesterday and our answer was exactly the same. There is still so much work that can be done here. And I don't think anybody is really emerging as a true leader. It's just a continuation of trying to get that right. Because it is what is the most important thing to our customers. And the industry is really sort of catching up to that. >> And when you start talking about privacy and when you... It's not just about company information, it's about individuals information. It's about information that if exposed actually could have real impact on people. So it's more than just an IT problem. It is actually, and from HP's perspective, security starts from when we're picking our suppliers for our components. There are processes that we put into our entire trusted supply chain from the factory on the way up. I liken it to my golf swing, my golf swinging. I slice, right lik you wouldn't believe. But when I go to the golf pros, they start me back at the mechanics, the foundational pieces, here's where the problems are and start working on that. So my view is our view is if your infrastructure is not secure, you're going to have troubles with security as you go further up. >> Stay in the sandbox, so to speak, they're driving range on the golf analogy there. I love that. Talk about supply chain security real quick. Because you mentioned supply chain on the hardware side, you're seeing a lot of open source and supply chain in software trusted software. How does GreenLake look at that? How do you guys view that piece of it? That's an important part. >> Yeah, security is one of the key pillars that we're actually driving as a company right now. As I said, it's important to our customers as they're making purchasing decisions. And we're looking at it from the infrastructure all the way up to the actual service itself. And that's the beauty of having something like HP GreenLake, we don't have to pick is the infrastructure or the middle where, or the top of stack application, we can look at all of it. Yeah. It's all of it. That matters. >> Question on the ecosystem posture, so, I remember when HP was one company and then the GSIs were a little weird with HP because of EDS, you know, had data protector. So we weren't really chatting up Veeam at the time. And as soon as the split happened, ecosystem exploded. Now you have a situation where your Broadcom is acquiring VMware. You guys big Broadcom customer, has your attitude changed or has it not because, oh, we meet where the customers are. You've always said that, but have you have leaned in more? I mean, culturally is HPE, HPE now saying, hmm, now we have some real opportunities to partner in new ways that we don't have to sleep with one eye open, maybe. >> So I would some first of all, VMware and HPE, we've got a variety of different partners, we always have. If well, before any Broadcom announcement came along. We've been working with a variety of partners and that hasn't changed and that hasn't changed. And if your question is, has our posture toward VMware changed that all the answers absolutely not. We believe in what VMware is doing. We believe in what our customers are doing with VMware, and we're going to continue to work with VMware and partner with you. >> And of course we had to spin out ourselves in November of last year, which I worked on the whole Dell, whole Dell piece. >> But, you still had the same chairman. >> But since then, I think what's really become very apparent. And it's not just with HPE, but with many of our partners, many of the OEM partners, the opportunity in front of us is vast. And we need to rely on each other to help us solve the customer problems that are out there. So there's a willingness to overlook some things that in the past may have been barriers. >> But it's important to note also that it's not that we have not had history, right? Over... We've got over 200,000 customers join. >> Hundreds of millions of dollars of business. >> 100,000, over 10,000 or a 100,000 channel partners that we have in common. Numerous , numerous... >> And independent of the whole Broadcom overhang there, there's the ecosystem floor. Yeah, the expo floor. I mean, it's vibrant. I mean, there's clearly a wave coming. Ricky, we talked about this briefly at HPE Discover. I want to get an update from your perspective, both of you, if you don't mind weighing in on this, clearly the wave we calling it super cloud. Cause it's not just, multi-cloud completely different looking successes, >> Smart Cloud. >> It's not just vendors. It's also the customers turning into clouds themselves. You look at Goldman Sachs. I think every vertical will have its own power law of cloud players in the future. We believe that to be true. We're still testing that assumption, but it's trending in when you got OPEX has to go to in fund statement. CapEx goes to thanks for the cloud. All that's good, but there's a wave coming and we're trying to identify it. What do you guys see as this wave cause beyond multi-cloud and the obvious nature of that will end up happening as a state and what happens beyond that interoperability piece? That's a whole nother story and that's what everyone's fighting for. But everyone out in that ecosystem, it's a big wave coming. They got their surfboards. They're ready to go. So what do you guys see? What is the next wave that everyone's jacked up about here? >> Well, I think the multi-cloud is obviously at the epicenter. If you look at the results that are coming in, a lot of our customers, this is what's leading the discussion. And now we're in a position where we've brought many companies over the last few years, they're starting to come to fruition. They're starting to play a role in how we're moving forward. Some of those are a bit more applicable to the commercial space. We're finding commercial customers are never bought from us before never hundreds and hundreds are coming through our partner networks every single quarter. So brand new to VMware, the trick then is how do you nurture them? How do you encourage them? >> So new logos are coming in? >> New logos are coming in all the time, all the time from across the ecosystem. It's not just the OEMs, it's all the way back. >> So the ecosystem's back for VMware. >> Unbelievably. So what are we doing to help that? There's two big things that we've announced in the recent weeks is that partner connect 2.0. When I talk to you about multi-cloud and multicardt the customers are doing, you see that trend. Four, five different separate clouds that we've got here. The next piece is that they're changing their business models with the partners. Their services is becoming more and more apparent, etc. And the use of other partners to do other services deployment or this stuff is becoming prevalent. Then you've got the distributors that I talked about were there. Then you route to market, then you route to business. So how do you encapsulate all of that and ensure your rewarding partners on all aspects of that? Whether it's deployment, whether it's test and debt, it's a points based system we've put in place now. >> It's a big pie. That's developing the market's getting bigger. >> It's getting so much bigger and then help. >> You agree obviously with that. >> Yeah, absolutely, in fact, I think for a long time we were asking the question of, is it going to be there or is it going to be here? Which was the wrong question now it's everything. Yes. And what I think that what we're seeing in the ecosystem is people are finding the spots where they're going play. Am I going to be on the edge? Am I going to be an analytics play? Am I going to be a cloud transition play? A lot of players are now emerging and saying, we now have a place, a part to play. And having that industry view, not just of a commercial customer at that level, but the two of us are looking at Telco, are looking at financial services, at healthcare, at manufacturing. How do these new ecosystem players fit into it? >> ... is lifting, everyone can see their position there. >> We're now being asked for simplicity and talk to me about partner profitability. How do I know where to focus my efforts? Am I've spread too thin? And my advice that a partner ecosystem out there is, Hey, let's pick out spots together. Let's really go to, and then strategic solutions that we were talking about is good example of that. >> Sounds like composability to me, but not to go back guys. Thanks for coming on. I think there's a big market there. I think the fog is lifted, people seeing their spot there's value there. Value creation equals reward. Yeah. Simplicity, ease of use. This is the new normal great job. Thanks for coming on sharing. Okay. Back live coverage after this short break with more day one coverage here from the blue set here in Moscone.

>>Hey, everyone. Welcome to the AWS partner, showcase women in tech. I'm Lisa Martin from the cube. And today we're gonna be looking into the exciting evolution of women in the tech industry. I'm going to be joined by Danielle GShock, the ISP PSA director at AWS. And we have the privilege of speaking with some wicked smart women from Teradata NetApp. JFI a 10th revolution group, company and honeycomb.io. We're gonna look at some of the challenges and biases that women face in the tech industry, especially in leadership roles. We're also gonna be exploring how are these tech companies addressing diversity, equity and inclusion across their organizations? How can we get more young girls into stem earlier in their careers? So many questions. So let's go ahead and get started. This is the AWS partner showcase women in tech. Hey, everyone. Welcome to the AWS partner showcase. This is season one, episode three. And I'm your host, Lisa Martin. I've got two great guests here with me to talk about women in tech. Hillary Ashton joins us the chief product officer at Terry data. And Danielle Greshaw is back with us, the ISV PSA director at AWS ladies. It's great to have you on the program talking through such an important topic, Hillary, let's go ahead and start with you. Give us a little bit of an intro into you, your background, and a little bit about Teradata. >>Yeah, absolutely. So I'm Hillary Ashton. I head up the products organization. So that's our engineering product management office of the CTO team. Um, at Teradata I've been with Terra data for just about three years and really have spent the last several decades. If I can say that in the data and analytics space, um, I spent time, uh, really focused on the value of, of analytics at scale, and I'm super excited to be here at Teradata. I'm also a mom of two teenage boys. And so as we talk about women in tech, I think there's, um, uh, lots of different dimensions and angles of that. Um, at Teradata, we are partnered very deeply with AWS and happy to talk a little bit more about that, um, throughout this discussion as well. >>Excellent. A busy mom of two teen boys. My goodness. I don't know how you do it. Let's now look, Atter data's views of diversity, equity and inclusion. It's a, the, it's a topic that's important to everyone, but give us a snapshot into some of the initiatives that Terra data has there. >>Yeah, I have to say, I am super proud to be working at Teradata. We have gone through, uh, a series of transformations, but I think it starts with culture and we are deeply committed to diversity, equity and inclusion. It's really more than just a statement here. It's just how we live our lives. Um, and we use, uh, data to back that up. Um, in fact, we were named one of the world's most ethical companies for the 13th year in a row. Um, and all of our executive leadership team has taken an oath around D E and I that's available on LinkedIn as well. So, um, in fact, our leadership team reporting into the CEO is just about 50 50, um, men and women, which is the first time I've worked in a company where that has been the case. And I think as individuals, we can probably appreciate what a huge difference that makes in terms of not just being a representative, but truly being on a, on a diverse and equitable, uh, team. And I think it really, uh, improves the behaviors that we can bring, um, to our office. >>There's so much value in that. It's I impressive to see about a 50 50 at the leadership level. That's not something that we see very often. Tell me how you, Hillary, how did you get into tech? Were you an engineering person by computer science, or did you have more of a zigzaggy path to where you are now? >>I'm gonna pick door number two and say more zigzaggy. Um, I started off thinking, um, that I started off as a political science major or a government major. Um, and I was probably destined to go into, um, the law field, but actually took a summer course at Harvard. I did not go to Harvard, but I took a summer course there and learned a lot about multimedia and some programming. And that really set me on a trajectory of how, um, data and analytics can truly provide value and, and outcomes to our customers. Um, and I have been living that life ever since. Um, I graduated from college, so, um, I was very excited and privileged in my early career to, uh, work in a company where I found after my first year that I was managing, um, uh, kids, people who had graduated from Harvard business school and from MIT Sloan school. Um, and that was super crazy, cuz I did not go to either of those schools, but I sort of have always had a natural knack for how do you take technology and, and the really cool things that technology can do, but because I'm not a programmer by training, I'm really focused on the value that I'm able to help, um, organizations really extract value, um, from the technology that we can create, which I think is fantastic. >>I think there's so much value in having a zigzag path into tech. You bring Danielle, you and I have talked about this many times you bring such breadth and such a wide perspective. That really is such a value. Add to teams. Danielle, talk to us from AWS's perspective about what can be done to encourage more young women to get and under and underrepresented groups as well, to get into stem and stay. >>Yeah, and this is definitely a challenge as we're trying to grow our organization and kind of shift the numbers. And the reality is, especially with the more senior folks in our organization, unless you bring folks with a zigzag path, the likelihood is you won't be able to change the numbers that you have. Um, but for me, it's really been about, uh, looking at that, uh, the folks who are just graduating college, maybe in other roles where they are adjacent to technology and to try to spark their interest and show that yes, they can do it because oftentimes it's really about believing in themselves and, and realizing that we need folks with all sorts of different perspectives to kind of come in, to be able to help really, um, provide both products and services and solutions for all types of people inside of technology, which requires all sorts of perspectives. >>Yeah, the diverse perspectives. There's so much value and there's a lot of data that demonstrates how much value revenue impact organizations can make by having diversity, especially at the leadership level. Hillary, let's go back to you. We talked about your career path. You talked about some of the importance of the focus on de and I at Tarana, but what are, what do you think can be done to encourage, to sorry, to recruit more young women and under groups into tech, any, any carrot there that you think are really important that we need to be dangling more of? >>Yeah, absolutely. And I'll build on what Danielle just said. I think the, um, bringing in diverse understandings, um, of, of customer outcomes, I mean, I, the we've really moved from technology for technology's sake and I know AWS and entirety to have had a lot of conversations on how do we drive customer outcomes that are differentiated in the market and really being customer centric and technology is wonderful. You can do wonderful things with it. You can do not so wonderful things with it as well, but unless you're really focused on the outcomes and what customers are seeking, um, technology is not hugely valuable. And so I think bringing in people who understand, um, voice of customer who understand those outcomes, and those are not necessarily the, the, the folks who are PhD in mathematics or statistics, um, those can be people who understand a day in the life of a data scientist or a day in the life of a citizen data scientist. And so really working to bridge the high impact technology with the practical kind of usability, usefulness of data and analytics in our cases, I think is something that we need more of in tech and sort of demystifying tech and freeing technology so that everybody can use it and having a really wide range of people who understand not just the bits and bites and, and how to program, but also the value in outcomes that technology through data and analytics can drive. >>Yeah. You know, we often talk about the hard skills, but this, their soft skills are equally, if not more important that even just being curious, being willing to ask questions, being not afraid to be vulnerable, being able to show those sides of your personality. I think those are important for, for young women and underrepresented groups to understand that those are just as important as some of the harder technical skills that can be taught. >>That's right. >>What do you think about from a bias perspective, Hillary, what have you seen in the tech industry and how do you think we can leverage culture as you talked about to help dial down some of the biases that are going on? >>Yeah. I mean, I think first of all, and, and there's some interesting data out there that says that 90% of the population, which includes a lot of women have some inherent bias in their day, day behaviors when it comes to to women in particular. But I'm sure that that is true across all kinds of, of, um, diverse and underrepresented folks in, in the world. And so I think acknowledging that we have bias and actually really learning how, what that can look like, how that can show up. We might be sitting here and thinking, oh, of course I don't have any bias. And then you realize that, um, as you, as you learn more about, um, different types of bias, that actually you do need to kind of, um, account for that and change behaviors. And so I think learning is sort of a fundamental, um, uh, grounding for all of us to really know what bias looks like, know how it shows up in each of us. >>Um, if we're leaders know how it shows up in our teams and make sure that we are constantly getting better, we're, we're not gonna be perfect anytime soon. But I think being on a path to improvement to overcoming bias, um, is really, is really critical. And part of that is really starting the dialogue, having the conversations, holding ourselves and each other accountable, um, when things aren't going in, in a, in a Coptic way and being able to talk openly about that, that felt, um, like maybe there was some bias in that interaction and how do we, um, how do we make good on that? How do we change our, our behavior? Fundamentally of course, data and analytics can have some bias in it as well. And so I think as we look at the, the technology aspect of bias, um, looking at at ethical AI, I think is a, a really important, uh, additional area. And I'm sure we could spend another 20 minutes talking about that, but I, I would be remiss if I didn't talk more about sort of the bias, um, and the over the opportunity to overcome bias in data and analytics as well. >>Yeah. The opportunity to overcome it is definitely there you bring up a couple of really good points, Hillary. It, it starts with awareness. We need to be aware that there are inherent biases in data in thought. And also to your other point, hold people accountable ourselves, our teammates, that's critical to being able to, to dial that back down, Daniel, I wanna get your perspective on, on your view of women in leadership roles. Do you think that we have good representation or we still have work to do in there? >>I definitely think in both technical and product roles, we definitely have some work to do. And, you know, when I think about, um, our partnership with Teradata, part of the reason why it's so important is, you know, Teradata solution is really the brains of a lot of companies. Um, you know, the what, how, what they differentiate on how they figure out insights into their business. And it's, it's all about the product itself and the data and the same is true at AWS. And, you know, we really could do some work to have some more women in these technical roles, as well as in the product, shaping the products. Uh, just for all the reasons that we just kind of talked about over the last 10 minutes, um, in order to, you know, move bias out of our, um, out of our solutions and also to just build better products and have, uh, better, you know, outcomes for customers. So I think there's a bit of work to do still. >>I agree. There's definitely a bit of work to do, and it's all about delivering those better outcomes for customers at the end of the day, we need to figure out what the right ways are of doing that and working together in a community. Um, we've had obviously a lot had changed in the last couple of years, Hillary, what's your, what have you seen in terms of the impact that the pandemic has had on this status of women in tech? Has it been a pro is silver lining the opposite? What are you seeing? >>Yeah, I mean, certainly there's data out there that tells us factually that it has been, um, very difficult for women during COVID 19. Um, women have, uh, dropped out of the workforce for a wide range of, of reasons. Um, and, and that I think is going to set us back all of us, the, the Royal us or the Royal we back, um, years and years. Um, and, and it's very unfortunate because I think we we're at a time when we're making great progress and now to see COVID, um, setting us back in, in such a powerful way. I think there's work to be done to understand how do we bring people back into the workforce. Um, how do we do that? Understanding work life balance, better understanding virtual and remote, working better. I think in the technology sector, um, we've really embraced, um, hybrid virtual work and are, are empowering people to bring their whole selves to work. >>And I think if anything, these, these zoom calls have, um, both for the men and the women on my team. In fact, I would say much more. So for the men on my team, I'm seeing, I was seeing more kids in the background, more kind of split childcare duties, more ability to start talking about, um, other responsibilities that maybe they had, uh, especially in the early days of COVID where maybe daycares were shut down. And, um, you had, you know, maybe a parent was sick. And so we saw quite a lot of, um, people bringing their whole selves to the office, which I think was, was really wonderful. Um, uh, even our CEO saw some of that. And I think, um, that that really changes the dialogue, right? It changes it to maybe scheduling meetings at a time when, um, people can do it after daycare drop off. >>Um, and really allowing that both for men and for women makes it better for, for women overall. So I would like to think that this hybrid working, um, environment and that this, um, uh, whole view into somebody's life that COVID has really provided for probably for white collar workers, if I'm being honest for, um, people who are in a, at a better point of privilege, they don't necessarily have to go into the office every day. I would like to think that tech can lead the way in, um, you know, coming out of the, the old COVID. I don't know if we have a new COVID coming, but the old COVID and really leading the way for women and for people, um, to transform how we do work, um, leveraging data and analytics, but also, um, overcoming some of the, the disparities that exist for women in particular in the workforce. >>Yeah, I think there's, there's like we say, there's a lot of opportunity there and I like your point of hopefully tech can be that guiding light that shows us this can be done. We're all humans at the end of the day. And ultimately if we're able to have some sort of work life balance, everything benefits, our work or more productive, higher performing teams impacts customers, right? There's so much value that can be gleaned from, from that hybrid model and embracing for humans. We need to be able to, to work when we can, we've learned that you don't have to be, you know, in an office 24, 7 commuting, crazy hours flying all around the world. We can get a lot of things done in a ways that fit people's lives rather than taking command over it. Wanna get your advice, Hillary, if you were to talk to your younger self, what would be some of the key pieces of advice you would say? And Danielle and I have talked about this before, and sometimes we, we would both agree on like, ask more questions. Don't be afraid to raise your hand, but what advice would you give your younger self and that younger generation in terms of being inspired to get into tech >>Oh, inspired and being in tech? You know, I think looking at technology as, in some ways, I feel like we do a disservice to, um, inclusion when we talk about stem, cuz I think stem can be kind of daunting. It can be a little scary for people for younger people. When I, when I go and talk to folks at schools, I think stem is like, oh, all the super smart kids are over there. They're all like maybe they're all men. And so, um, it's, it's a little, uh, intimidating. Um, and stem is actually, you know, especially for, um, people joining the workforce today. It's actually how you've been living your life since you were born. I mean, you know, stem inside and out because you walk around with a phone and you know how to get your internet working and like that is technology right. >>Fundamentally. And so demystifying stem as something that is around how we, um, actually make our, our lives useful and, and, and how we can change outcomes. Um, through technology I think is maybe a different lens to put on it. So, and there's absolutely for, for hard sciences, there's absolutely a, a great place in the world for folks who wanna pursue that and men and women can do that. So I, I don't want to be, um, uh, setting the wrong expectations, but I, I think stem is, is very holistic in, um, in the change that's happening globally for us today across economies, across global warming, across all kinds of impactful issues. And so I think everybody who's interested in, in some of that world change can participate in stem. It just may be through a different, through a different lens than how we classically talk about stem. >>So I think there's great opportunity to demystify stem. I think also, um, what I would tell my younger self is choose your bosses wisely. And that sounds really funny. That sounds like inside out almost, but I think choose the person that you're gonna work for in your first five to seven years. And it might be more than one person, but be, be selective, maybe be a little less selective about the exact company or the exact title. I think picking somebody that, you know, we talk about mentors and we talk about sponsors and those are important. Um, but the person you're gonna spend in your early career, a lot of your day with a lot, who's gonna influence a lot of the outcomes for you. That is the person that you, I think want to be more selective about, um, because that person can set you up for success and give you opportunities and set you on course to be, um, a standout or that person can hold you back. >>And that person can put you in the corner and not invite you to the meetings and not give you those opportunities. And so we're in an economy today where you actually can, um, be a little bit picky about who you go and work for. And I would encourage my younger self. I actually, I just lucked out actually, but I think that, um, my first boss really set me, um, up for success, gave me a lot of feedback and coaching. Um, and some of it was really hard to hear, but it really set me up for, for, um, the, the path that I've been on ever since. So it, that would be my advice. >>I love that advice. I it's brilliant. I didn't think it choose your bosses wisely. Isn't something that we primarily think about. I think a lot of people think about the big name companies that they wanna go after and put on a resume, but you bring up a great point. And Danielle and I have talked about this with other guests about mentors and sponsors. I think that is brilliant advice and also more work to do to demystify stem. But luckily we have great family leaders like the two of you helping us to do that. Ladies, I wanna thank you so much for joining me on the program today and talking through what you're seeing in de and I, what your companies are doing and the opportunities that we have to move the needle. Appreciate your time. >>Thank you so much. Great to see you, Danielle. Thank you Lisa, to see you. >>My pleasure for my guests. I'm Lisa Martin. You're watching the AWS partner showcase season one, episode three. Hey everyone. Welcome to the AWS partner showcase. This is season one, episode three, with a focus on women in tech. I'm your host, Lisa Martin. I've got two guests here with me, Sue Peretti, the EVP of global AWS strategic alliances at Jefferson Frank, a 10th revolution group company, and Danielle brushoff. One of our cube alumni joins us ISV PSA director, ladies. It's great to have you on the program talking about a, a topic that is near and dear to my heart at women in tech. >>Thank you, Lisa. >>So let's go ahead and start with you. Give the audience an understanding of Jefferson Frank, what does the company do and about the partnership with AWS? >>Sure. Um, so let's just start, uh, Jefferson Frank is a 10th revolution group company. And if you look at it, it's really talent as a service. So Jefferson Frank provides talent solutions all over the world for AWS clients, partners and users, et cetera. And we have a sister company called revelent, which is a talent creation company within the AWS ecosystem. So we create talent and put it out in the ecosystem. Usually underrepresented groups over half of them are women. And then we also have, uh, a company called rubra, which is a delivery model around AWS technology. So all three companies fall under the 10th revolution group organization. >>Got it. Danielle, talk to me a little bit about from AWS's perspective and the focus on hiring more women in technology and about the partnership. >>Yes. I mean, this has definitely been a focus ever since I joined eight years ago, but also just especially in the last few years we've grown exponentially and our customer base has changed. You know, we wanna have, uh, an organization interacting with them that reflects our customers, right. And, uh, we know that we need to keep pace with that even with our growth. And so we've very much focused on early career talent, um, bringing more women and underrepresented minorities into the organization, sponsoring those folks, promoting them, uh, giving them paths to growth, to grow inside of the organization. I'm an example of that. Of course I benefit benefited from it, but also I try to bring that into my organization as well. And it's super important. >>Tell me a little bit about how you benefited from that, Danielle. >>Um, I just think that, um, you know, I I've been able to get, you know, a seat at the table. I think that, um, I feel as though I have folks supporting me, uh, very deeply and wanna see me succeed. And also they put me forth as, um, you know, a, represent a representative, uh, to bring more women into the organization as well. And I think, um, they give me a platform, uh, in order to do that, um, like this, um, but also many other, uh, spots as well. Um, and I'm happy to do it because I feel that, you know, if you always wanna feel that you're making a difference in your job, and that is definitely a place where I get that time and space in order to be that representative to, um, bring more, more women into benefiting from having careers in technology, which there's a lot of value there, >>A lot of value. Absolutely. So back over to you, what are some of the trends that you are seeing from a gender diversity perspective in tech? We know the, the numbers of women in technical positions, uh, right. There's so much data out there that shows when girls start dropping up, but what are some of the trends that you are seeing? >>So it's, that's a really interesting question. And, and Lisa, I had a whole bunch of data points that I wanted to share with you, but just two weeks ago, uh, I was in San Francisco with AWS at the, at the summit. And we were talking about this. We were talking about how we can collectively together attract more women, not only to, uh, AWS, not only to technology, but to the AWS ecosystem in particular. And it was fascinating because I was talking about, uh, the challenges that women have and how hard to believe, but about 5% of women who were in the ecosystem have left in the past few years, which was really, really, uh, something that shocked everyone when we, when we were talking about it, because all of the things that we've been asking for, for instance, uh, working from home, um, better pay, uh, more flexibility, uh, better maternity leave seems like those things are happening. >>So we're getting what we want, but people are leaving. And it seemed like the feedback that we got was that a lot of women still felt very underrepresented. The number one thing was that they, they couldn't be, you can't be what you can't see. So because they, we feel collectively women, uh, people who identify as women just don't see enough women in leadership, they don't see enough mentors. Um, I think I've had great mentors, but, but just not enough. I'm lucky enough to have a pres a president of our company, the president of our company, Zoe Morris is a woman and she does lead by example. So I'm very lucky for that. And Jefferson, Frank really quickly, we put out a hiring a salary and hiring guide a career and hiring guide every year and the data points. And that's about 65 pages long. No one else does it. Uh, it gives an abundance of information around, uh, everything about the AWS ecosystem that a hiring manager might need to know. But there is what, what I thought was really unbelievable was that only 7% of the people that responded to it were women. So my goal, uh, being that we have such a very big global platform is to get more women to respond to that survey so we can get as much information and take action. So >>Absolutely 7%. So a long way to go there. Danielle, talk to me about AWS's focus on women in tech. I was watching, um, Sue, I saw that you shared on LinkedIn, the Ted talk that the CEO and founder of girls and co did. And one of the things that she said was that there was a, a survey that HP did some years back that showed that, um, 60%, that, that men will apply for jobs if they only meet 60% of the list of requirements. Whereas with females, it's far, far less, we've all been in that imposter syndrome, um, conundrum before. But Danielle, talk to us about AWS, a specific focus here to get these numbers up. >>I think it speaks to what Susan was talking about, how, you know, I think we're approaching it top and bottom, right? We're looking out at what are the, who are the women who are currently in technical positions and how can we make AWS an attractive place for them to work? And that's all a lot of the changes that we've had around maternity leave and, and those types of things, but then also, um, more flexible working, uh, can, you know, uh, arrangements, but then also, um, early, how can we actually impact early, um, career women and actually women who are still in school. Um, and our training and certification team is doing amazing things to get, um, more girls exposed to AWS, to technology, um, and make it a less intimidating place and have them look at employees from AWS and say like, oh, I can see myself in those people. >>Um, and kind of actually growing the viable pool of candidates. I think, you know, we're, we're limited with the viable pool of candidates, um, when you're talking about mid to late career. Um, but how can we, you know, help retrain women who are coming back into the workplace after, you know, having a child and how can we help with military women who want to, uh, or underrepresented minorities who wanna move into AWS, we have a great military program, but then also just that early high school, uh, career, you know, getting them in, in that trajectory. >>Sue, is that something that Jefferson Frank is also able to help with is, you know, getting those younger girls before they start to feel there's something wrong with me. I don't get this. Talk to us about how Jefferson Frank can help really drive up that in those younger girls. >>Uh, let me tell you one other thing to refer back to that summit that we did, uh, we had breakout sessions and that was one of the topics. What can cuz that's the goal, right? To make sure that, that there are ways to attract them. That's the goal? So some of the things that we talked about was mentoring programs, uh, from a very young age, some people said high school, but then we said even earlier, goes back to you. Can't be what you can't see. So, uh, getting mentoring programs, uh, established, uh, we also talked about some of the great ideas was being careful of how we speak to women using the right language to attract them. And some, there was a teachable moment for, for me there actually, it was really wonderful because, um, an African American woman said to me, Sue and I, I was talking about how you can't be what you can't see. >>And what she said was Sue, it's really different. Um, for me as an African American woman, uh, or she identified, uh, as nonbinary, but she was relating to African American women. She said, your white woman, your journey was very different than my journey. And I thought, this is how we're going to learn. I wasn't offended by her calling me out at all. It was a teachable moment. And I thought I understood that, but those are the things that we need to educate people on those, those moments where we think we're, we're saying and doing the right thing, but we really need to get that bias out there. So here at Jefferson, Frank, we're, we're trying really hard to get that careers and hiring guide out there. It's on our website to get more women, uh, to talk to it, but to make suggestions in partnership with AWS around how we can do this mentoring, we have a mentor me program. We go around the country and do things like this. We, we try to get the education out there in partnership with AWS. Uh, we have a, a women's group, a women's leadership group, uh, so much that, that we do, and we try to do it in partnership with AWS. >>Danielle, can you comment on the impact that AWS has made so far, um, regarding some of the trends and, and gender diversity that Sue was talking about? What's the impact that's been made so far with this partnership? >>Well, I mean, I think just being able to get more of the data and have awareness of leaders, uh, on how <laugh>, you know, it used to be a, a couple years back, I would feel like sometimes the, um, uh, solving to bring more women into the organization was kind of something that folks thought, oh, this is Danielle is gonna solve this. You know? And I think a lot of folks now realize, oh, this is something that we all need to solve for. And a lot of my colleagues who maybe a couple years ago, didn't have any awareness or didn't even have the tools to do what they needed to do in order to improve the statistics on their, or in their organizations. Now actually have those tools and are able to kind of work with, um, work with companies like Susan's work with Jefferson Frank in order to actually get the data and actually make good decisions and feel as though, you know, they, they often, these are not lived experiences for these folks, so they don't know what they don't know. And by providing data and providing awareness and providing tooling and then setting goals, I think all of those things have really turned, uh, things around in a very positive way. >>And so you bring up a great point about from a diversity perspective, what is Jefferson Frank doing to, to get those data points up, to get more women of, of all well, really underrepresented minorities to, to be able to provide that feedback so that you can, can have the data and gleamy insights from it to help companies like AWS on their strategic objectives. >>Right? So as I, when I go back to that higher that, uh, careers in hiring guide, that is my focus today, really because the more data that we have, I mean, the, and the data takes, uh, you know, we need people to participate in order to, to accurately, uh, get a hold of that data. So that's why we're asking, uh, we're taking the initiative to really expand our focus. We are a global organization with a very, very massive database all over the world, but if people don't take action, then we can't get the right. The, the, the data will not be as accurate as we'd like it to be. Therefore take better action. So what we're doing is we're asking people all over the, all over the world to participate on our website, Jefferson frank.com, the se the high, uh, in the survey. So we can learn as much as we can. >>7% is such a, you know, Danielle and I we're, we've got to partner on this just to sort of get that message out there, get more data so we can execute, uh, some of the other things that we're doing. We're, we're partnering in. As I mentioned, more of these events, uh, we're, we're doing around the summits, we're gonna be having more ed and I events and collecting more information from women. Um, like I said, internally, we do practice what we preach and we have our own programs that are, that are out there that are within our own company where the women who are talking to candidates and clients every single day are trying to get that message out there. So if I'm speaking to a client or one of our internal people are speaking to a client or a candidate, they're telling them, listen, you know, we really are trying to get these numbers up. >>We wanna attract as many people as we can. Would you mind going to this, uh, hiring guide and offering your own information? So we've gotta get that 7% up. We've gotta keep talking. We've gotta keep, uh, getting programs out there. One other thing I wanted to Danielle's point, she mentioned, uh, women in leadership, the number that we gathered was only 9% of women in leadership within the AWS ecosystem. We've gotta get that number up, uh, as well because, um, you know, I know for me, when I see people like Danielle or, or her peers, it inspires me. And I feel like, you know, I just wanna give back, make sure I send the elevator back to the first floor and bring more women in to this amazing ecosystem. >>Absolutely. That's not that metaphor I do too, but we, but to your point to get that those numbers up, not just at AWS, but everywhere else we need, it's a help me help use situation. So ladies underrepresented minorities, if you're watching go to the Jefferson Frank website, take the survey, help provide the data so that the woman here that are doing this amazing work, have it to help make decisions and have more of females and leadership roles or underrepresented minorities. So we can be what we can see. Ladies, thank you so much for joining me today and sharing what you guys are doing together to partner on this important. Cause >>Thank you for having me, Leah, Lisa, >>Thank you. My pleasure for my guests. I'm Lisa Martin. You're watching the cubes coverage of the AWS partner showcase. Thanks for your time. Hey everyone. Welcome to the AWS partner showcase season one, episode three women in tech. I'm your host, Lisa Martin. We've got two female rock stars here with me next. Stephanie Curry joins us the worldwide head of sales and go to market strategy for AWS at NetApp and Danielle GShock is back one of our QM ISV PSA director at AWS. Looking forward to a great conversation, ladies, about a great topic, Stephanie, let's go ahead and start with you. Give us an overview of your story, how you got into tech and what inspired you. >>Thanks so much, Lisa and Danielle. It's great to be on this show with you. Um, thank you for that. Uh, my name's Stephanie cur, as Lisa mentioned, I'm the worldwide head of sales for, uh, AWS at NetApp and run a global team of sales people that sell all things AWS, um, going back 25 years now, uh, when I first started my career in tech, it was kind of by accident. Um, I come from a different background. I have a business background and a technical background from school, um, but had been in a different career and I had an opportunity to try something new. Um, I had an ally really that reached out to me and said, Hey, you'd be great for this role. And I thought, I'd take a chance. I was curious. Um, and, uh, it, it turned out to be a 25 year career, um, that I'm really, really excited about and, and, um, really thankful for that person, for introducing me to the, to the industry >>25 years in counting. I'm sure Danielle, we've talked about your background before. So what I wanna focus on with you is the importance of diversity for high performance. I know what a machine AWS is, and Stephanie'll come back to you with the same question, but talk about that, Danielle, from your perspective, that importance, um, for diversity to drive the performance. >>Yeah. Yeah. I truly believe that, you know, in order to have high performing teams, that you have to have people from all different types of backgrounds and experiences. And we do find that oftentimes being, you know, field facing, if we're not reflecting our customers and connecting with them deeply, um, on, on the levels that they're at, we, we end up missing them. And so for us, it's very important to bring people of lots of different technical backgrounds experiences. And of course, both men, women, and underrepresented minorities and put that forth to our customers, um, in order to make that connection and to end up with better outcomes. So >>Definitely it's all about outcomes, Stephanie, your perspective and NetApp's perspective on diversity for creating highly performant teams and organizations. >>I really aligned with Danielle on the comment she made. And in addition to that, you know, just from building teams in my, um, career know, we've had three times as many women on my team since we started a year ago and our results are really showing in that as well. Um, we find the teams are stronger, they're more collaborative and to Danielle's point really reflective, not only our partners, but our customers themselves. So this really creates connections, which are really, really important to scale our businesses and, and really, uh, meet the customer where they're at as well. So huge proponent of that ourselves, and really finding that we have to be intentional in our hiring and intentional in how we attract diversity to our teams. >>So Stephanie let's stay with you. So a three X increase in women on the team in a year, especially the kind of last year that we've had is really incredible. I, I like your, I, your thoughts on there needs to be a, there needs to be focus and, and thought in how teams are hired. Let's talk about attracting and retaining those women now, especially in sales roles, we all know the number, the percentages of women in technical roles, but what are some of the things that, that you do Stephanie, that NetApp does to attract and retain women in those sales roles? >>The, the attracting part's really interesting. And we find that, you know, you, you read the stats and I'd say in my experience, they're also true in the fact that, um, a lot of women would look at a job description and say, I can't do a hundred percent of that, that, so I'm not even going to apply with the women that we've attracted to our team. We've actually intentionally reached out and targeted those people in a good way, um, to say, Hey, we think you've got what it takes. Some of the feedback I've got from those women are, gosh, I didn't think I could ever get this role. I didn't think I had the skills to do that. And they've been hired and they are doing a phenomenal job. In addition to that, I think a lot of the feedback I've got from these hires are, Hey, it's an aggressive sales is aggressive. Sales is competitive. It's not an environment that I think I can be successful in. And what we're showing them is bring those softer skills around collaboration, around connection, around building teams. And they do, they do bring a lot of that to the team. Then they see others like them there and they know they can be successful cuz they see others like them on the team, >>The whole concept of we can't be what we can't see, but we can be what we can't see is so important. You said a couple things, Stephanie, that really stuck with me. And one of them was an interview on the Cub I was doing, I think a couple weeks ago, um, about women in tech. And the stat that we talked about was that women will apply will not apply for a job unless they meet 100% of the skills and the requirements that it's listed, but men will, if they only meet 60. And I, that just shocked me that I thought, you know, I, I can understand that imposter syndrome is real. It's a huge challenge, but the softer skills, as you mentioned, especially in the last two years, plus the ability to communicate, the ability to collaborate are incredibly important to, to drive that performance of any team of any business. >>Absolutely. >>Danielle, talk to me about your perspective and AWS as well for attracting and retaining talent. And, and, and particularly in some of those challenging roles like sales that as Stephanie said, can be known as aggressive. >>Yeah, for sure. I mean, my team is focused on the technical aspect of the field and we definitely have an uphill battle for sure. Um, two things we are focused on first and foremost is looking at early career women and that how we, how can we bring them into this role, whether in they're in support functions, uh, cl like answering the phone for support calls, et cetera, and how, how can we bring them into this organization, which is a bit more strategic, more proactive. Um, and then the other thing that as far as retention goes, you know, sometimes there will be women who they're on a team and there are no other women on that team. And, and for me, it's about building community inside of AWS and being part of, you know, we have women on solution architecture organizations. We have, uh, you know, I just personally connect people as well and to like, oh, you should meet this person. Oh, you should talk to that person. Because again, sometimes they can't see someone on their team like them and they just need to feel anchored, especially as we've all been, you know, kind of stuck at home, um, during the pandemic, just being able to make those connections with women like them has been super important and just being a, a long tenured Amazonian. Um, that's definitely one thing I'm able to, to bring to the table as well. >>That's so important and impactful and spreads across organizations in a good way. Daniel let's stick with you. Let's talk about some of the allies that you've had sponsors, mentors that have really made a difference. And I said that in past tense, but I also mean in present tense, who are some of those folks now that really inspire you? >>Yeah. I mean, I definitely would say that one of my mentors and someone who, uh, ha has been a sponsor of my career has, uh, Matt YK, who is one of our control tower GMs. He has really sponsored my career and definitely been a supporter of mine and pushed me in positive ways, which has been super helpful. And then other of my business partners, you know, Sabina Joseph, who's a cube alum as well. She definitely has been, was a fabulous partner to work with. Um, and you know, between the two of us for a period of time, we definitely felt like we could, you know, conquer the world. It's very great to go in with a, with another strong woman, um, you know, and, and get things done, um, inside of an organization like AWS. >>Absolutely. And S I've, I've agreed here several times. So Stephanie, same question for you. You talked a little bit about your kind of, one of your, uh, original early allies in the tech industry, but talk to me about allies sponsors, mentors who have, and continue to make a difference in your life. >>Yeah. And, you know, I think it's a great differentiation as well, right? Because I think that mentors teach us sponsors show us the way and allies make room for us at the table. And that is really, really key difference. I think also as women leaders, we need to make room for others at the table too, and not forget those softer skills that we bring to the table. Some of the things that Danielle mentioned as well about making those connections for others, right. And making room for them at the table. Um, some of my allies, a lot of them are men. Brian ABI was my first mentor. Uh, he actually is in the distribution, was in distribution, uh, with advent tech data no longer there. Um, Corey Hutchinson, who's now at Hashi Corp. He's also another ally of mine and remains an ally of mine, even though we're not at the same company any longer. Um, so a lot of these people transcend careers and transcend, um, um, different positions that I've held as well and make room for us. And I think that's just really critical when we're looking for allies and when allies are looking for us, >>I love how you described allies, mentors and sponsors Stephanie. And the difference. I didn't understand the difference between a mentor and a sponsor until a couple of years ago. Do you talk with some of those younger females on your team so that when they come into the organization and maybe they're fresh outta college, or maybe they've transitioned into tech so that they can also learn from you and understand the importance and the difference between the allies and the sponsors and the mentors? >>Absolutely. And I think that's really interesting because I do take, uh, an extra, uh, approach an extra time to really reach out to the women that have joined the team. One. I wanna make sure they stay right. I don't want them feeling, Hey, I'm alone here and I need to, I need to go do something else. Um, and they are located around the world, on my team. They're also different age groups, so early in career, as well as more senior people and really reaching out, making sure they know that I'm there. But also as Danielle had mentioned, connecting them to other people in the community that they can reach out to for those same opportunities and making room for them >>Make room at the table. It's so important. And it can, you never know what a massive difference and impact you can make on someone's life. And I, and I bet there's probably a lot of mentors and sponsors and allies of mine that would be surprised to know, uh, the massive influence they've had Daniel back over. Let's talk about some of the techniques that you employ, that AWS employees to make the work environment, a great place for women to really thrive and, and be retained as Stephanie was saying. Of course that's so important. >>Yeah. I mean, definitely I think that the community building, as well as we have a bit more programmatic mentorship, um, we're trying to get to the point of having a more programmatic sponsorship as well. Um, but I think just making sure that, um, you know, both everything from, uh, recruit to onboard to ever boarding that, uh, they they're the women who come into the organization, whether it's they're coming in on the software engineering side or the field side or the sales side that they feel as that they have someone, uh, working with them to help them drive their career. Those are the key things that were, I think from an organizational perspective are happening across the board. Um, for me personally, when I run my organization, I'm really trying to make sure that people feel that they can come to me at any time open door policy, make sure that they're surfacing any times in which they are feeling excluded or anything like that, any challenges, whether it be with a customer, a partner or with a colleague. Um, and then also of course, just making sure that I'm being a good sponsor, uh, to, to people on my team. Um, that is key. You can talk about it, but you have to start with yourself as well. >>That's a great point. You you've got to, to start with yourself and really reflect on that. Mm-hmm <affirmative> and look, am I, am I embodying what it is that I need? And not that I know they need that focused, thoughtful intention on that is so importants, let's talk about some of the techniques that you use that NetApp uses to make the work environment a great place for those women are marginalized, um, communities to really thrive. >>Yeah. And I appreciate it and much like Danielle, uh, and much like AWS, we have some of those more structured programs, right around sponsorship and around mentorship. Um, probably some growth there, opportunities for allies, because I think that's more of a newer concept in really an informal structure around the allies, but something that we're growing into at NetApp, um, on my team personally, I think, um, leading by example's really key. And unfortunately, a lot of the, um, life stuffs still lands on the women, whether we like it or not. Uh, I have a very, uh, active husband in our household, but I still carry when it push comes to shove it's on me. Um, and I wanna make sure that my team knows it's okay to take some time and do the things you need to do with your family. Um, I'm I show up as myself authentically and I encourage them to do the same. >>So it's okay to say, Hey, I need to take a personal day. I need to focus on some stuff that's happening in my personal life this week now, obviously to make sure your job's covered, but just allowing some of that softer vulnerability to come into the team as well, so that others, um, men and women can feel they can do the same thing. And that it's okay to say, I need to balance my life and I need to do some other things alongside. Um, so it's the formal programs, making sure people have awareness on them. Um, I think it's also softly calling people out on biases and saying, Hey, I'm not sure if you know, this landed that way, but I just wanted to make you aware. And usually the feedback is, oh my gosh, I didn't know. And could you coach me on something that I could do better next time? So all of this is driven through our NetApp formal programs, but then it's also how you manifest it on the teams that we're leading. >>Absolutely. And sometimes having that mirror to reflect into can be really eye-opening and, and allow you to, to see things in a completely different light, which is great. Um, you both talked about, um, kind of being what you, uh, can see, and, and I know both companies are upset customer obsessed in a good way. Talk to me a little bit, Danielle, go back over to you about the AWS NetApp partnership. Um, some of that maybe alignment on, on performance on obviously you guys are very well aligned, uh, in terms of that, but also it sounds like you're quite aligned on diversity and inclusion. >>Well, we definitely do. We have the best partnerships with companies in which we have these value alignments. So I think that is a positive thing, of course, but just from a, from a partnership perspective, you know, from my five now plus years of being a part of the APN, this is, you know, one of the most significant years with our launch of FSX for NetApp. Um, with that, uh, key key service, which we're making available natively on AWS. I, I can't think of a better Testament to the, to the, um, partnership than that. And that's doing incredibly well and it really resonates with our customers. And of course it started with customers and their need for NetApp. Uh, so, you know, that is a reflection, I think, of the success that we're having together. >>And Stephanie talk to, uh, about the partnership from your perspective, NetApp, AWS, what you guys are doing together, cultural alignment, but also your alignment on really bringing diversity into drive performance. >>Yeah, I think it's a, a great question. And I have to say it's just been a phenomenal year. Our relationship has, uh, started before our first party service with FSX N but definitely just, um, uh, the trajectory, um, between the two companies since the announcement about nine months ago has just taken off to a, a new level. Um, we feel like an extended part of the family. We worked together seamlessly. A lot of the people in my team often say we feel like Amazonians. Um, and we're really part of this transformation at NetApp from being that storage hardware company into being an ISV and a cloud company. And we could not do this without the partnership with AWS and without the, uh, first party service of Fs XM that we've recently released. Um, I think that those joint values that Danielle referred to are critical to our success, um, starting with customer obsession and always making sure that we are doing the right thing for the customer. >>We coach our team teams all the time on if you are doing the right thing for the customers, you cannot do anything wrong. Just always put the customer at the, in the center of your decisions. And I think that there is, um, a lot of best practice sharing and collaboration as we go through this change. And I think a lot of it is led by the diverse backgrounds that are on the team, um, female, male, um, race and so forth, and just to really, uh, have different perspectives and different experiences about how we approach this change. Um, so we definitely feel like a part of the family. Uh, we are absolutely loving, uh, working with the AWS team and our team knows that we are the right place, the right time with the right people. >>I love that last question for each of you. And I wanna stick with you Stephanie advice to your younger self, think back five years. What advice would you seen what you've accomplished and maybe the thet route that you've taken along the way, what would you advise your youngest Stephanie self. >>Uh, I would say keep being curious, right? Keep being curious, keep asking questions. And sometimes when you get a no, it's not a bad thing, it just means not right now and find out why and, and try to get feedback as to why maybe that wasn't the right opportunity for you. But, you know, just go for what you want. Continue to be curious, continue to ask questions and find a support network of people around you that wanna help you because they are there and they, they wanna see you be successful too. So never be shy about that stuff. >><laugh> absolutely. And I always say failure does not have to be an, a bad F word. A no can be the beginning of something. Amazing. Danielle, same question for you. Thinking back to when you first started in your career, what advice would you give your younger self? >>Yeah, I think the advice I'd give my younger self would be, don't be afraid to put yourself out there. Um, it's certainly, you know, coming from an engineering background, maybe you wanna stay behind the scenes, not, not do a presentation, not do a public speaking event, those types of things, but back to what the community really needs, this thing. Um, you know, I genuinely now, uh, took me a while to realize it, but I realized I needed to put myself out there in order to, um, you know, allow younger women to see what they could be. So that would be the advice I would give. Don't be afraid to put yourself out there. >>Absolutely. That advice that you both gave are, is so fantastic, so important and so applicable to everybody. Um, don't be afraid to put yourself out there, ask questions. Don't be afraid of a, no, that it's all gonna happen at some point or many points along the way. That can also be good. So thank you ladies. You inspired me. I appreciate you sharing what AWS and NetApp are doing together to strengthen diversity, to strengthen performance and the advice that you both shared for your younger selves was brilliant. Thank you. >>Thank you. >>Thank you >>For my guests. I'm Lisa Martin. You're watching the AWS partner showcase. See you next time. Hey everyone. Welcome to the AWS partner showcase season one, episode three women in tech. I'm your host, Lisa Martin. I've got two female rock stars joining me. Next Vero Reynolds is here engineering manager, telemetry at honeycomb, and one of our cube alumni, Danielle Ock ISV PSA director at AWS. Join us as well. Ladies. It's great to have you talking about a very important topic today. >>Thanks for having us. >>Yeah, thanks for having me. Appreciate it. >>Of course, Vera, let's go ahead and start with you. Tell me about your background and tech. You're coming up on your 10th anniversary. Happy anniversary. >>Thank you. That's right. I can't believe it's been 10 years. Um, but yeah, I started in tech in 2012. Um, I was an engineer for most of that time. Uh, and just recently as a March, switched to engineering management here at honeycomb and, um, you know, throughout my career, I was very much interested in all the things, right. And it was a big FOMO as far as trying a few different, um, companies and products. And I've done things from web development to mobile to platforms. Um, it would be apt to call me a generalist. Um, and in the more recent years I was sort of gravitating more towards developer tool space. And for me that, uh, came in the form of cloud Foundry circle CI and now honeycomb. Um, I actually had my eye on honeycomb for a while before joining, I came across a blog post by charity majors. >>Who's one of our founders and she was actually talking about management and how to pursue that and whether or not it's right, uh, for your career. And so I was like, who is this person? I really like her, uh, found the company. They were pretty small at the time. So I was sort of keeping my eye on them. And then when the time came around for me to look again, I did a little bit more digging, uh, found a lot of talks about the product. And on the one hand they really spoke to me as the solution. They talked about developers owning their coding production and answering questions about what is happening, what are your users seeing? And I felt that pain, I got what they were trying to do. And also on the other hand, every talk I saw at the time was from, uh, an amazing woman <laugh>, which I haven't seen before. Uh, so I came across charity majors again, Christine Y our other founder, and then Liz Jones, who's our principal developer advocate. And that really sealed the deal for me as far as wanting to work here. >>Yeah. Honeycomb is interesting. This is a female founded company. You're two leaders. You mentioned that you like the technology, but you were also attracted because you saw females in the leadership position. Talk to me a little bit about what that's like working for a female led organization at honeycomb. >>Yeah. You know, historically, um, we have tried not to over index on that because there was this, uh, maybe fear awareness of, um, it taking away from our legitimacy as an engineering organization, from our success as a company. Um, but I'm seeing that, uh, rhetoric shift recently because we believe that with great responsibility, uh, with great power comes great responsibility, and we're trying to be more intentional as far as using that attribute of our company. Um, so I would say that for me, it was, um, a choice between a few offers, right. And that was a selling point for sure, because again, I've never experienced it and I've really seen how much they walk that walk. Um, even me being here and me moving into management, I think were both, um, ways in which they really put a lot of trust and support in me. And so, um, I it's been a great ride. >>Excellent. Sounds like it. Before we bring Danielle in to talk about the partnership. I do wanna have you there talk to the audience a little bit about honeycomb, what technology it's delivering and what are its differentiators. >>Yeah, absolutely. Um, so honeycomb is an observability tool, uh, that enables engineers to answer questions about the code that runs in production. And, um, we work with a number of various customers. Some of them are Vanguards, slack. Hello, fresh, just to name a couple, if you're not familiar with observability tooling, it's akin to traditional application performance monitoring, but we believe that observability is succeeding APM because, uh, APM tools were built at the time of monoliths and they just weren't designed to help us answer questions about complex distributed systems that we work with today, where things can go wrong anywhere in that chain. And you can't predict what you're gonna need to ask ahead of time. So some of the ways that we are different is our ability to store and query really rich data, which we believe is the key to understanding those complex systems. >>What I mean by rich data is, um, something that has a lot of attributes. So for example, when an error happens, knowing who it happened to, which user ID, which, um, I don't know, region, they were in, um, what, what, what they were doing at the time and what was happening at the rest of your system. And our ingest engine is really fast. You can do it in as little as three seconds and we call data like this. I said, kind of rich data, contextual data. We refer it as having high ality and high dimensionality, which are big words. But at the end of the day, what that means is we can store and we can query the data. We can do it really fast. And to give you an example of how that looks for our customers, let's say you have a developer team who are using comb to understand and observe their system. >>And they get a report that a user is experiencing a slowdown or something's wrong. They can go into comb and figure out that this only happens to users who are using a particular language pack with their app. And they operated their app last week, that it only happens when they are trying to upload a file. And so it's this level of granularity and being able to zoom in and out, um, under your data that allows you to understand what's happening, especially when you have an incident going on, right. Or your really important high profile customer is telling you that something's wrong. And we can do that. Even if everything else in your other tools looks fine, right? All of your dashboards are okay. You're not actually getting paged on it, but your customers are telling you that something's wrong. Uh, and we believe that's where we shine in helping you there. >>Excellent. It sounds like that's where you really shine that real time visibility is so critical these days. Danielle, Danielle, wanna bring you into the conversation. Talk to us a little bit about the honeycomb partnership from the AWS lens. >>Yeah. So excuse me, observability is obviously a very important, uh, segment in the cloud space, very important to AWS, um, because a lot of all of our customers, uh, as they build their systems distributed, they need to be able to see where, where things are happening in the complex systems that they're building. And so honeycomb is a, is an advanced technology partner. Um, they've been working with us for quite some time and they have a, uh, their solution is listed on the marketplace. Um, definitely something that we see a lot of demand with our customers and they have many integrations, uh, which, you know, we've seen is key to success. Um, being able to work seamlessly with the rest of the services inside of the AWS platform. And I know that they've done some, some great things with people who are trying to develop games on top of AWS, uh, things in that area as well. And so, uh, very important partner in the observa observability market that we have >>Back to you, let's kind of unpack the partnership, the significance that honeycomb ha is getting from being partners with an organization as potent and pivotal as AWS. >>Yeah, absolutely. Um, I know this predates me to some extent, but I know for a long time, AWS and honeycomb has really pushed the envelope together. And, um, I think it's a beneficial relationship for both ends. There's kind of two ways of looking at it. On the one side, there is our own infrastructure. So honeycomb runs on AWS and actually one of our critical workloads that supports that fast query engine that I mentioned uses Lambda. And it does so in a pretty Orthodox way. So we've had a longstanding conversation with the AWS team as far as drawing outside those lines and kind of figuring out how to use this technology in a way that works for us and hopefully will work for other customers of theirs as well. Um, that also allows us to ask for early access for certain features when they become available. >>And then that way we can be sort of the Guinea pigs and try things out, um, in a way that migrates our system and optimizes our own performance, but also allows again, other customers of AWS to follow in that path. And then the other side of that partnership is really supporting our customers who are both honeycomb users and AWS users, because it's, as you imagine, quite a big overlap, and there are certain ways in which we can allow our customers to more easily get their data from AWS to honeycomb. So for example, last year we built a tool, um, based on the new Lambda extension capability that allowed our users who run their applications in Lambdas to get that telemetry data out of their applications and into honeycomb. And it man was win, win. >>Excellent. So I'm hearing a lot of synergies from a technology perspective, you're sticking with you, and then Danielle will bring you in, let's talk about how honeycomb supports D and I across its organization. And how is that synergistic with AWS's approach? Yeah, >>Yeah, absolutely. So I sort of alluded to that hesitancy to over index on the women led aspect of ourselves. Um, but again, a lot of things are shifting, we're growing a lot. And so we are recognizing that we need to be more intentional with our DEI initiatives, and we also notice that we can do better and we should do better. And to that, and we're doing a few things differently, um, that are pretty recent initiatives. We are partnering with organizations that help us target specific communities that are underrepresented in tech. Um, some examples would be after tech hu Latinas in tech among, um, a number of others. And another initiative is DEI head start. That's something that is an internal, um, practice that we started that includes reaching out to underrepresented applicants before any new job for honeycomb becomes live. So before we posted to LinkedIn, before it's even live on our job speech, and the idea there is to kind of balance our pipeline of applicants, which the hope is will lead to more diverse hires in the long term. >>That's a great focus there. Danielle, I know we've talked about this before, but for the audience, in terms of the context of the honeycomb partnership, the focus at AWS for D E and I is really significant, unpack that a little bit for us. >>Well, let me just bring it back to just how we think about it, um, with the companies that we work with, but also in, in terms of, you know, what we want to be able to do, excuse me, it's very important for us to, you know, build products that reflect, uh, the customers that we have. And I think, you know, working with, uh, a company like honeycomb that is looking to differentiate in a space, um, by, by bringing in, you know, the experiences of many different types of people I genuinely believe. And I'm sure Vera also believes that by having those diverse perspectives, that we're able to then build better products for our customers. Um, and you know, it's one of, one of our leadership principles, uh, is, is rooted in this. I write a lot, it asks for us to seek out diverse perspectives. Uh, and you can't really do that if everybody kind of looks the same and thinks the same and has the same background. So I think that is where our de and I, um, you know, I thought process is rooted and, you know, companies like honeycomb that give customers choice and differentiate and help them, um, to do what they need to do in their unique, um, environments is super important. So >>The, the importance of thought diversity cannot be underscored enough. It's something that is, can be pivotal to organizations. And it's very nice to hear that that's so fundamental to both companies, Barry, I wanna go back to you for a second. You, I think you mentioned this, the DEI head start program, that's an internal program at honeycomb. Can you shed a little bit of light on that? >>Yeah, that's right. And I actually am in the process of hiring a first engineer for my team. So I'm learning a lot of these things firsthand, um, and how it works is we try to make sure to pre-load our pipeline of applicants for any new job opening we have with diverse candidates to the best of our abilities, and that can involve partnering with the organizations that I mentioned or reaching out to our internal network, um, and make sure that we give those applicants a head start, so to speak. >>Excellent. I like that. Danielle, before we close, I wanna get a little bit of, of your background. We've got various background in tag, she's celebrating her 10th anniversary. Give me a, a short kind of description of the journey that you've navigated through being a female in technology. >>Yeah, thanks so much. I really appreciate, uh, being able to share this. So I started as a software engineer, uh, back actually in the late nineties, uh, during the, the first.com bubble and, uh, have, have spent quite a long time actually as an individual contributor, um, probably working in software engineering teams up through 2014 at a minimum until I joined AWS, uh, as a customer facing solutions architect. Um, I do think spending a lot of time, hands on definitely helped me with some of the imposter syndrome, um, issues that folks suffer from not to say I don't at all, but it, it certainly helped with that. And I've been leading teams at AWS since 2015. Um, so it's really been a great ride. Um, and like I said, I'm very happy to see all of our engineering teams change, uh, as far as their composition. And I'm, I'm grateful to be part of it. >>It's pretty great to be able to witness that composition change for the better last question for each of you. And we're almost out of time and Danielle, I'm gonna stick with you. What's your advice, your recommendations for women who either are thinking about getting into tech or those who may be in tech, maybe they're in individual positions and they're not sure if they should apply for that senior leadership position. What do you advise them to do? >>I mean, definitely for the individual contributors, tech tech is a great career, uh, direction, um, and you will always be able to find women like you, you have to maybe just work a little bit harder, uh, to join, have community, uh, in that. But then as a leader, um, representation is very important and we can bring more women into tech by having more leaders. So that's my, you just have to take the lead, >>Take the lead, love that there. Same question for you. What's your advice and recommendations for those maybe future female leaders in tech? >>Yeah, absolutely. Um, Danielle mentioned imposter syndrome and I think we all struggle with it from time to time, no matter how many years it's been. And I think for me, for me, the advice would be if you're starting out, don't be afraid to ask, uh, questions and don't be afraid to kind of show a little bit of ignorance because we've all been there. And I think it's on all of us to remember what it's like to not know how things work. And on the flip side of that, if you are a more senior IC or, uh, in a leadership role, also being able to model just saying, I don't know how this works and going and figuring out answers together because that was a really powerful shift for me early in my career is just to feel like I can say that I don't know something. >>I totally agree. I've been in that same situation where just ask the question because you I'm guaranteed, there's a million outta people in the room that probably has the, have the same question and because of imposter syndrome, don't wanna admit, I don't understand that. Can we back up, but I agree with you. I think that is, um, one of the best things. Raise your hand, ask a question, ladies. Thank you so much for joining me talking about honeycomb and AWS, what you're doing together from a technology perspective and the focus efforts that each company has on D E and I, we appreciate your insights. Thank you so much for having us great talking to you. My pleasure, likewise for my guests, I'm Lisa Martin. You're watching the AWS partner showcase women in check. Welcome to the AWS partner showcase I'm Lisa Martin, your host. This is season one, episode three, and this is a great episode that focuses on women in tech. I'm pleased to be joined by Danielle Shaw, the ISV PSA director at AWS, and the sponsor of this fantastic program. Danielle, it's great to see you and talk about such an important topic. >>Yes. And I will tell you, all of these interviews have just been a blast for me to do. And I feel like there has been a lot of gold that we can glean from all of the, um, stories that we heard on these interviews and good advice that I myself would not have necessarily thought of. So >>I agree. And we're gonna get to set, cuz advice is one of the, the main things that our audience is gonna hear. We have Hillary Ashton, you'll see from TETA there, Reynolds joins us from honeycomb, Stephanie Curry from NetApp and Sue Paris from Jefferson Frank. And the topics that we dig into are first and foremost, diversity equity and inclusion. That is a topic that is incredibly important to every organization. And some of the things Danielle that our audiences shared were really interesting to me. One of the things that I saw from a thematic perspective over and over was that like D Reynolds was talking about the importance of companies and hiring managers and how they need to be intentional with de and I initiatives. And that intention was a, a, a common thing that we heard. I'm curious what your thoughts are about that, that we heard about being intentional working intentionally to deliver a more holistic pool of candidates where de I is concerned. What are your, what were some of the things that stuck out to you? >>Absolutely. I think each one of us is working inside of organizations where in the last, you know, five to 10 years, there's been a, you know, a strong push in this direction, mostly because we've really seen, um, first and foremost, by being intentional, that you can change the, uh, the way your organization looks. Um, but also just that, you know, without being intentional, um, there was just a lot of, you know, outcomes and situations that maybe weren't great for, um, you know, a healthy, um, and productive environment, uh, working environment. And so, you know, a lot of these companies have made a big investments and put forth big initiatives that I think all of us are involved in. And so we're really excited to get out here and talk about it and talk about, especially as these are all partnerships that we have, how, you know, these align with our values. So >>Yeah, that, that value alignment mm-hmm <affirmative> that you bring up is another thing that we heard consistently with each of the partners, there's a cultural alignment, there's a customer obsession alignment that they have with AWS. There's a D E and I alignment that they have. And I, I think everybody also kind of agreed Stephanie Curry talked about, you know, it's really important, um, for diversity on it, on, on impacting performance, highly performant teams are teams that are more diverse. I think we heard that kind of echoed throughout the women that we talked to in >>This. Absolutely. And I absolutely, and I definitely even feel that, uh, with their studies out there that tell you that you make better products, if you have all of the right input and you're getting all many different perspectives, but not just that, but I can, I can personally see it in the performing teams, not just my team, but also, you know, the teams that I work alongside. Um, arguably some of the other business folks have done a really great job of bringing more women into their organization, bringing more underrepresented minorities. Tech is a little bit behind, but we're trying really hard to bring that forward as well to in technical roles. Um, but you can just see the difference in the outcomes. Uh, at least I personally can just in the adjacent teams of mine. >>That's awesome. We talked also quite a bit during this episode about attracting women and underrepresented, um, groups and retaining them. That retention piece is really key. What were some of the things that stuck out to you that, um, you know, some of the guests talked about in terms of retention? >>Yeah. I think especially, uh, speaking with Hillary and hearing how, uh, Teradata is thinking about different ways to make hybrid work work for everybody. I think that is definitely when I talk to women interested in joining AWS, oftentimes that might be one of the first, uh, concerns that they have. Like, am I going to be able to, you know, go pick my kid up at four o'clock at the bus, or am I going to be able to, you know, be at my kids' conf you know, conference or even just, you know, have enough work life balance that I can, um, you know, do the things that I wanna do outside of work, uh, beyond children and family. So these are all very important, um, and questions that especially women come and ask, but also, um, you know, it kind of is a, is a bellwether for, is this gonna be a company that allows me to bring my whole self to work? And then I'm also gonna be able to have that balance that I need need. So I think that was something that is, uh, changing a lot. And many people are thinking about work a lot differently. >>Absolutely. The pandemic not only changed how we think about work, you know, initially it was, do I work from home or do I live at work? And that was legitimately a challenge that all of us faced for a long time period, but we're seeing the hybrid model. We're seeing more companies be open to embracing that and allowing people to have more of that balance, which at the end of the day, it's so much better for product development for the customers, as you talked about there's, it's a win-win. >>Absolutely. And, you know, definitely the first few months of it was very hard to find that separation to be able to put up boundaries. Um, but I think at least I personally have been able to find the way to do it. And I hope that, you know, everyone is getting that space to be able to put those boundaries up to effectively have a harmonious, you know, work life where you can still be at home most of the time, but also, um, you know, have that cutoff point of the day or at least have that separate space that you can feel that you're able to separate the two. >>Yeah, absolutely. And a lot of that from a work life balance perspective leads into one of the next topics that we covered in detail with, and that's mentors and sponsors the differences between them recommendations from, uh, the women on the panel about how to combat imposter syndrome, but also how to leverage mentors and sponsors throughout your career. One of the things that, that Hillary said that I thought was fantastic, advice were mentors and sponsors are concerned is, is be selective in picking your bosses. We often see people, especially younger folks, not necessarily younger folks. I shouldn't say that that are attracted to a company it's brand maybe, and think more about that than they do the boss or bosses that can help guide them along the way. But I thought that was really poignant advice that Hillary provided something that I'm gonna take into consideration myself. >>Yeah. And I honestly hadn't thought about that, but as I reflect through my own career, I can see how I've had particular managers who have had a major impact on helping me, um, with my career. But, you know, if you don't have the ability to do that, or maybe that's not a luxury that you have, I think even if you're able to, you know, find a mentor for a period of time or, um, you know, just, just enable for you to be able to get from say a point a to point B just for a temporary period. Um, just so you can grow into your next role, have a, have a particular outcome that you wanna drive, have a particular goal in mind find that person who's been there and done that and can really help you get through. If you don't have the luxury of picking your manager mentor, who can help you get to the next step. >>Exactly. That, that I thought that advice was brilliant and something that I hadn't really considered either. We also talked with several of the women about imposter syndrome. You know, that's something that everybody, I think, regardless of gender of your background, everybody feels that at some point. So I think one of the nice things that we do in this episode is sort of identify, yes, imposter syndrome is real. This is, this is how it happened to me. This is I navigated around or got over it. I think there's some great advice there for the audience to glean as well about how to dial down the imposter syndrome that they might be feeling. >>Absolutely. And I think the key there is just acknowledging it. Um, but also just hearing all the different techniques on, on how folks have dealt with it because everybody does, um, you know, even some of the smartest, most confident men I've, I've met in, uh, industry still talk to me about how they have it and I'm shocked by it oftentimes, but, um, it is very common and hopefully we, we talk about some good techniques to, to deal with that. >>I think we do, you know, one of the things that when we were asking the, our audience, our guests about advice, what would they tell their younger selves? What would they tell young women or underrepresented groups in terms of becoming interested in stem and in tech and everybody sort of agreed on me, don't be afraid to raise your hand and ask questions. Um, show vulnerabilities, not just as the employee, but even from a leadership perspective, show that as a leader, I, I don't have all the answers. There are questions that I have. I think that goes a long way to reducing the imposter syndrome that most of us have faced at some point in our lives. And that's just, don't be afraid to ask questions. You never know, oh, how can people have the same question sitting in the room? >>Well, and also, you know, for folks who've been in industry for 20, 25 years, I think we can just say that, you know, it's a, it's a marathon, it's not a sprint and you're always going to, um, have new things to learn and you can spend, you know, back to, we talked about the zing and zagging through careers, um, where, you know, we'll have different experiences. Um, all of that kind of comes through just, you know, being curious and wanting to continue to learn. So yes, asking questions and being vulnerable and being able to say, I don't know all the answers, but I wanna learn is a key thing, uh, especially culturally at AWS, but I'm sure with all of these companies as well, >>Definitely I think it sounded like it was really ingrained in their culture. And another thing too, that we also talked about is the word, no, doesn't always mean a dead end. It can often mean not right now or may, maybe this isn't the right opportunity at this time. I think that's another important thing that the audience is gonna learn is that, you know, failure is not necessarily a bad F word. If you turn it into opportunity, no isn't necessarily the end of the road. It can be an opener to a different door. And I, I thought that was a really positive message that our guests, um, had to share with the, the audience. >>Yeah, totally. I can, I can say I had a, a mentor of mine, um, a very, uh, strong woman who told me, you know, your career is going to have lots of ebbs and flows and that's natural. And you know that when you say that, not right now, um, that's a perfect example of maybe there's an ebb where it might not be the right time for you now, but something to consider in the future. But also don't be afraid to say yes, when you can. <laugh> >>Exactly. Danielle, it's been a pleasure filming this episode with you and the great female leaders that we have on. I'm excited for the audience to be able to learn from Hillary Vera, Stephanie Sue, and you so much valuable content in here. We hope you enjoy this partner showcase season one, episode three, Danielle, thanks so much for helping >>Us with it's been a blast. I really appreciate it >>All audience. We wanna enjoy this. Enjoy the episode.

>>Okay, welcome back everyone. This is the Cube's coverage of S reinve rein Mars. I said reinvent all my VES months away. Re Mars machine learning, automation, robotics, and space. I'm John feer, host of the cube, an exciting guest here, bringing on special guest more robot robots are welcome on the cube. We're gonna have that segment here. Mike Dooley co-founder and CEO of Labrador systems. Mike, welcome to the cube. Thanks. >>Coming on. Thank, thank you so much. Yeah. Labrador systems. We're a company is developing a new type of assistive robot for people in the home. And you know, our mission is really to help people live independently. And so we're about to show a robot that's it looks like my, what used to be in a warehouse or other places, but it's being designed to be both robust enough to operate in real world settings, help people that may be aging and using a Walker wheelchair. A cane could have early onset health conditions like Parkinson's and things like that. So >>Let me, let me set this up first, before you get into the, the demo, because I think here at re Mars, one of the things that's coming outta the show besides the cool vibe, right? Is that materials handling? Isn't the only thing you've seen with robotics. Yeah. You're seeing a lot more life industrial impact. And this is an example of one of that, isn't >>It? Yeah. We just actually got an award. It's a Joseph EGL Bergo was the first person to actually put robots in factories and automation. And in doing that, um, he set up grant for robots going beyond that, to help people live in it. So we're the first recipient of that. But yeah, I think that robots, they're not the, what you think about with Rosie yet. We're the wrong way from that, but they're, they can do really meaningful things. >>And before we get the demo, your mission hearing, what you're gonna show here is a lot of hard work and we know how hard it is. What's the mission. What's the vision. >>The mission is to help people live more independently on their own terms. Uh, we're, there's, it's an innate part of the human condition that at some point in our lives, it becomes more difficult to move ourselves or move things around it. And that is a huge impact on our independence. So when we're putting this robot in pilots, we're helping people try to regain degrees of independence, be more active deal with whatever situation they want, but under their terms and have, have control over their life. >>Okay, well, let's get into it. May I offer you a glass of water? Well, you >>Know, I have a robot that just happens to be really good at delivering things, including water. Um, we just actually pulled these out of our refrigerator on our last demo. So why don't we bring over the retriever? And so we're gonna command it to come on in. So this is a Labrador retriever. These robots have been in homes. This robot itself has been in homes, helping people do activities like this. It's able to sort of go from place to place it automatically navigates itself. Uh, just like we've been called a self-driving shelf, um, as an example, but it's meant to be very friendly, can come to a position like this could be by my armchair and it would automatically park. And then I could do something like I can pick up, okay, I want some water and maybe I want to drink it out of a cup and I can do this. And if I have a cough or something else, cough drops. My phone, all sorts of things can be in there. Um, so the purpose of the retriever is really to be this extra pair of hands, to keep things close by and move things. And it can automatically adjust to any hide or position. And if I, even if I block it like a safety, it, it >>Stops. And someone who say disabled or can't move is recovering or has some as aging or whatever the case is. This comes to them. It's autonomous in it sense. Is that that what works or yeah. Is it guided? How does >>It, it works on a series of bus stops. So the in robotics, we call those way points. But when we're talking to people, the bus stops are the places you want it to go. You have a bus stop by the front door, your kitchen sink, the refrigerator, your armchair, the laundry machine, you won't closet it. <laugh>. And with that simple metaphor, we, we train the robot in a couple hours. We create all these routes, just like a subway map. And then the robot is autonomous. So I can hit a button. I can hit my cell phone, or I can say Alexa ass lab, one to come to the kitchen. The robot will autonomously navigate through everything, go around the pets park itself. And it raises and lowers to bring things with and reach. So I'm sitting and it might lower itself down. So I can just comfortably get something at the kitchen. I, it could just go right to the level of the countertop. So it's very easy for someone that has an issue to move things with with limited, uh, challenges. >>And this really illustrates to this show again. Yeah. Talk about the impact here. Cause we're at a historic moment in robotics. >>We are. Yeah. >>What's your reaction to that? Tell your, share your vision >>On that. I've been in robotics for 25 years. Um, and I started, I actually started working actually at Lego and launching Lego Mindstorms, the end of the nineties. So I have like CEO just last night again, they gush over like you did that. Yeah. <laugh> and again, I'm pretty old school. And so we've my career. If I've been working through from toys onto like robotic floor cleaners, the algorithms that are on Roomba today came from the startup that we were all part of. We're, we're moving things to be bigger and bigger and have a bigger >>Impact. What's it feel like? I mean, cuz I mean I can see the experience and by the way, it's hardcore robotics communities out there, but now it's still mainstream. It's opening up the aperture of robotics. Yeah. It's the prime time is right now and it's an inflection point. >>Well, and it's also a point where we desperately need it. So we have incredible work for shortages <laugh> and it's not that we're, these robots are not to take people jobs away it's to do the work that people don't want to do and try to make, you know, free them up for things that are more important. Yeah. In senior care, that's the high touch we want caregivers to be helping people get outta their bed, help them safely move from place to place things that robots aren't at yet. Yeah. But for getting the garbage, for getting a drink or giving the person the freedom to say, do I wanna ask my caregiver or my spouse to do that? Or do I wanna do it myself? And so robots can be incredibly liberating experience if they're, if they're done in the right way and they're done well, >>It's a choice. It actually comes down to choice. I remember this argument way back when, oh, ATM's gonna kill the bank teller. In fact more bank tellers emerged. Right. And so there's choices come out there and, but there's still more advances to do. What is you, what do you see as milestones for the industry as you start to seeing better handling better voice activation cameras on board. I noticed some cameras in there. Yeah. So we're starting to see the, some of the smaller, faster, cheaper >>It's it's especially yeah. Faster. Cheaper is what we're after. So can we redo? So like the gyros that are on this type of robot used to be like in the tens of thousands of dollars 20 or 30 years ago. And, and then when you started seeing Roomba and the floor cleaners come out, those started what happened was basically the gyro on here that what's happening in consumer electronics, the ability for the iPhone to play, you know, the game in turn and, and do portrait and landscape. That actually is what enables all these robots that clean your floors to do very tight angles. What we're doing is this migration of consumer electronics then gets robbed and, and adopted over in that. So it's really about it's I, it's not that you're gonna see things radically change. It's just that you're gonna see more and more applications get more sophisticated and become more affordable. Our target is to bring this for a few hundred dollars a month into people's homes. Yeah. Yeah. Um, and make that economy work for as many people as >>Possible. Yeah. Mike, what a great, great illustration of great point there now on your history looking forward. Okay. Smaller Fest are cheaper. Yeah. You're gonna see a human aspect. So technology's kind of getting out of the way now you got a lot in the cloud, you got machine learning, big thing here. There's a human creative side now gonna be a big part of this. Yeah. Can you talk about like how you see that unfolding? Because again, younger people gonna come in, you got a lot more things pre-built I just saw a swaping on stage saying, oh, we, we write subroutines automatically the machine learning like, oh my God, that's so cool. Like, so more is coming for, to, for builders, right. To build what's the playbook gonna look like? How do you see the human aspect, creative crafting building? >>I, I it's, you know, it's a hard Fu future to predict. I think the issue is that humans are always gonna have to be more clever than the AI <laugh>, you know, I, I can't say that enough is that AI can solve some things and it can get smarter and smarter. You task that over and then let's work on the things that can't do. And I think that's intellectually challenging. Like, and I, and I think we have a long way to go, uh, to sort of keep on pushing that forward. So the whole mission is people get to do more interesting things with their life, more dynamic. Think about what the machines should be working on. Yeah. And then move on to the next things. >>Well, a lot of good healthcare implications. Yeah. Uh, senior living people who are themselves, >>All those are place. Yeah. >>Now that you have, um, this kind of almost a perfect storm of innovation coming, and I just think it's gonna be the beginning. You're gonna see a lot of young people come in. Yeah. And a lot of people in school now going down to the elementary school level yeah. Are really immersed in robotics. They're born with it. And certainly as they get older, what kind of disciplines do you see coming into robot? I used to be pretty clear. Yeah. Right. Nerdy, builder, builder. Now it's like what? I got Mac and rice. My code. >>Yeah. My, my co-founder and CEO has a good example. Anybody we interview, we say we really like it. If you think of yourself as an astronaut, going on to a space mission. And, and it's really appropriate being here at R Mars is that normally the astronaut has one specialty, but they have to know enough of the other skills to be able to help out. In case of an emergency robotics is so complex. There's so there's mechanical, there's electrical, there's software, they're perceptual, there's user interface, all of those Fs together. So when we're trying to do a demo and something goes wrong, I can't say why. I only do mechanical. Yeah. You got it. You really have to have a system. So I think if any system architects, people that if you're gonna, if, if you're gonna be, if mechanical is your thing, you better learn a little bit electrical and software. Yeah. If software is your thing, you better not just write code because you need to understand where you're >>Your back. Well, the old days you have to know for trend to run any instrumentation in the old days. So same kind of vibe. So what does that impact on the teamwork side? Because now I can imagine, okay, you got some general purpose knowledge, so math, science, all the disciplines, but the specialties there, I love that right now. Teamwork. Yeah. Because you, you know, I could be a generalism at some point. There's another component I'm gonna need to call my teammate for. >>Yeah. Yeah. And you have to have, yeah. So it, yeah, we're a small team, so it's a little bit easier right now, but even the technology. So like there's a, what, this is, this runs on Linux and that runs on Ross, which is a robotics operating system. The modules are, are the, are sorry, the modules, I mean redundant there, but the, the part that makes the robot go, okay, I'm gonna command it to go here. It's gonna go around it, see an obstacle. This module kicks in, even the elements become module. So that's part of how teams work is that, and, and Amazon has a rule around that is that everything has to have an API. Yeah. I have to be able to express my work and the way that somebody else can come in and talk to it in a very easy way. So you're also going away from like, sort of like the hidden code that only I touch you can't have ownership of that. You have to let your team understand how it works and let them control it and edit it. Well, >>Super exciting. Dan, first of all, great to bring robots on the cube set. Thanks to your team here. Doing that. Yeah. Um, talk about the company. Um, put a plug in, what are you guys doing? Sure. Raising money, getting more staff, more sales. We're give, give a commercial. >>Yeah. So we, we closed the seed round. So we've been around it's actually five years next month. Um, did pre-seed and then we closed the seed round that we announced back at CS. So we debuted the retriever for the first time we had it under wraps. We had it in people's homes for a year before we did that. Um, I, Amazon was one of our early investors and they actually co-led on this last round, along with our friends at iRobot. So yeah. Uh, so we've raised that we're right in the next phase of deploying this, especially going more into senior living now that that's opening up with COVID coming down and looking at helping these workforce issues where there's that crisis. So we'll be raising later this year. So we're starting to sort of do the preview for series a. We're starting to take those pre-orders for robots and for Lois. And then our goal is we're and we're actually already at the factory. So we've been converting this, these there's a version of this robot underway right now at the factory that will probably have engineering units at the end of this year. Yeah. Goal is for, uh, full production with all the supply chain issues for second half of, of next >>Year. Yeah. Well, congratulations. It's a great product. And I gotta ask you what's on the roadmap, how you see this product unfolding. What's the wishlist look like if you had all the dough in the world, what would you do next? What would you be putting on there? Sure. If you had the magic wand what's happening, >>It's a couple variables. I think it's scale. So it's driving the, this whole thing is designed to go down in cost, which improves basically accessibility. More people can afford it. The health system, Medicare, those sorts of folks. See it one. So basically get us into reduction and get us into volume is one part, I think the other ones is adding layers. I, what we, when we see our presentation and the speech we're doing tomorrow, we see this as a force multiplier for a lot of other things in healthcare. So if I bring the blood pressure cuff, like we have on the retrieval, I can be a physical reminder to take your medication, to take the, my, my readings, or we are just con having a conversation with some of our friends of Amazon is bringing an echo show to you when you want to have a conversation and take it away. >>When you don't think about that metaphor of how do I wanna live my life and what do I have control over? And then on top of it, the sensors on the robot, they're pretty sophisticated. So in my case, my mom is still around she's 91, but now in a hospital beded wheelchair could, we've seen her walking differently early, early on, and using things like Intel, real sense and, and computer vision and AI to detect things and just say to her, don't even tell anybody else, we're noticing this. Do you wanna share this with your doctor? Yeah. That's the world. I think that what we're trying to do is lay this out as version 1.0, so that when folks like us are around, it'll something like decades from now, life is so much more better for the options and choices we have. It's >>Really interesting. You know, I liked, um, kind of the theme here. There's a lot of day to day problems that people like to solve. And then there's like the new industrial problems that are emerging that are opportunities. And then there's the save the world kind of vibe. <laugh>, there's help people make things positive, right. You know, solve the climate problems, help people. And so we're kind of at this new era and it's beyond just like sustainability and, you know, bias. That's all gotta get done a new tipping point around the human aspect of >>Things. And you do it economically. I think sometimes you think that, okay, well, you're just doing this cuz you're, you're socially motivated and doesn't, you don't care how many you sell it to just so you can accomplish it. It's their link. The, the cheaper that we can make this, the more people you can impact. I think you're talking about the kids today is the work we did at Lego. In the end of the nineties, you made a, a robotics kit for 200 bucks and millions of kids. Yeah. Did that. And >>Grape pie. I mean, you had accessories to it. Make a developer friendly. >>Yeah, no, exactly. And we're getting all those requests. So I think that's the thing is like, get a new platform, learn what it's like to have this sort of capability and then let the market drive. It, let the people sort of the folks who are gonna be using it that are in a wheelchair, are dealing with Parkinson's or Ms, or other issues. What can we add to that ecosystem? So you it's, it's all about being very human centric in that. Yeah. And making the other parts of the economy make it work for them, make it so that the health system, they get an ROI on this so that, Hey, this is a good thing to put into people's homes. >>And well, I think you have the nice, attractive value proposition to investors. Obviously robotics is super cool and really relevant. Cool, cool. And relevant to me always is nice to have that. So check that, then you got the economics on price, pressure, prove the price down lower. Yeah. Open up the Tams of the market. Right. Make it more viable economically. >>Yeah, definitely. And then, and what we're having, what's driving us that wasn't around seven when we started this about four and a half years ago. Uh, my joke and I don't mean to offend them, but after doing pitching the vision of this in six months, don't be, >>Don't be afraid. We're do we, >>My, my joke. And I'm sort to see more bold about is that VCs don't think they're gonna get old. They're just gonna get rich. And so the idea is that they didn't see themselves in this position and we not Gloo and doom, you can work out, you can be active, but we're living older, longer. We are it's. My mom is born in the depression. She's been in a wheelchair for five years. She might be around for a good, another 10 or 15. And that's wonderful for her, but her need for care is really high. >>Yeah. And the pressure on the family too, there's always, there's always collateral damage on all these impacts. >>There's 53 million unpaid family caregivers in the us. Yeah. Just in the time that we've grown, been doing this, it's grown 4% a year and it's a complicated thing. And it's, it's not just the pressure on you to help your mom or dad or whoever. It's the frustration on their face when they have to always ask for that help. So it's, it's twofold. It's give them some freedom back so they can make a choice. Like my classic example is my mom wants tea. My dad's trying to watch the game. He, she asks for it. It's not hot enough. Sends it back. And that's a currency. Yeah, yeah. That she's losing and, and it's frustration as opposed to give her a choice to say, I'm gonna do this on my own. And I that's just, >>You wanna bring the computer out, do a FaceTime with the family, send it back. Or you mentioned the Alexa there's so many use cases. Oh >>No. We talked about, uh, we talked about putting like a, a device with a CA with a screen on it so she could chat and see pictures. And it says, I don't want to have this in my bedroom. That's my private space. Yeah. But if we could have the robot, bring it in when it's appropriate and take it on go the retriever that's that's >>The whole go fetch what I need right now. That's and then go lie down. Yeah. >>That's what I, I called >>Labrador. Doesn't lie down >>Actually. But well, it lowers down, it lowers down about 25 inches. That's about lying. >>Down's super exciting. And congratulations. I know, um, how passionate you are. It's obvious. Yeah. And being in the business so long, so many accomplishment you had. Yeah. But now is a whole new Dawn. A new era here. >>Yeah. Oh yeah. No, I, we just, it was real. It was on impromptu. It wasn't scheduled. There's a, a post circle on LinkedIn where all the robots got together. <laugh> you know, and they were seeing to hang out. No, and you're seeing stuff that wasn't possible. You look at this and you go, well, what's the big thing. It's a box on wheels. It's like, it wasn't possible to navigate something around the complexity of a home 10 years ago for the price we're doing. Yeah. It wasn't possible to wa have things that walk or spot that can go through construction sites. I, I think people don't realize it's it. It really is changing. And then we're, I think every five years you're gonna be seeing this more bold deployment of these things hitting our lives. It's >>It's super cool. And that's why this show's so popular. It's not obvious to mainstream, but you look at the confluence of all those forces coming together. Yeah. It's just a wonderful thing. Thanks for coming on. Appreciate >>It really, really appreciate you for this >>Time. Great success. Great demo. Mike, do cofounder, the CEO of Labrador systems. Check him out. They have the retriever, uh, future of robotics here. It's all impact all life on the planet. And more space. Two is to keep coverage here at re Mars, stay tuned for more live coverage. After this short break.

>>Hey everyone. Welcome to the AWS partner showcase season one, episode three women in tech. I'm your host. Lisa Martin. We've got two female rock stars here with me next. Stephanie Curry joins us the worldwide head of sales and go to market strategy for AWS at NetApp and Danielle GShock is back one of our QM ISV PSA director at AWS. Looking forward to a great conversation, ladies, about a great topic, Stephanie, let's go ahead and start with you. Give us an overview of your story, how you got into tech and what inspired you. >>Thanks so much, Lisa and Danielle. It's great to be on this show with you. Thank you for that. My name's Stephanie curs. Lisa mentioned I'm the worldwide head of sales for AWS at NetApp and run a global team of sales people that sell all things AWS going back 25 years now, when I first started my career in tech, it was kind of by accident. I'd come from a different background. I have a business background and a technical background from school, but had been in a different career. And I had an opportunity to try something new. I had an ally really that reached out to me and said, Hey, you'd be great for this role. And I thought, I'd take a chance. I was curious. And it, it turned out to be a 25 year career that I'm really, really excited about and, and really thankful for that person for introducing me to the, to the industry >>25 years in counting. I'm sure Danielle, we've talked about your background before. So what I wanna focus on with you is the importance of diversity for high performance. I know what a machine AWS is, and Stephanie, I'll come back to you with the same question, but talk about that, Danielle, from your perspective, that importance for diversity to drive the performance. >>Yeah. I truly believe that, you know, in order to have high performing teams, that you have to have people from all different types of backgrounds and experiences. And we do find that oftentimes being, you know, field facing, if we're not reflecting our customers and connecting with them deeply on, on the levels that they're at, we, we end up missing them. And so for us, it's very important to bring people of lots of different technical backgrounds experiences. And of course, both men, women, and underrepresented minorities, and put that forth to our customers in order to make that connection and to end up with better outcomes. So >>Definitely it's all about outcomes, Stephanie, your perspective and NetApp's perspective on diversity for creating highly performing teams and organizations. >>I really aligned with Danielle on the comment she made. And in addition to that, you know, just from building teams in my career note, we've had three times as many women on my team since we started a year ago and our results are really showing in that as well. We find the teams are stronger, they're more collaborative and to Danielle's point really not only our partners, but our customers themselves. So this really creates connections, which are really, really important to scale our businesses and, and really meet the customer where they're at as well. So huge proponent of that ourselves, and really finding that we have to be intentional in our hiring and intentional in how we attract diversity to our teams. >>So Stephanie let's stay with you. So a three X increase in women on the team in a year, especially the kind of last year that we've had is really incredible. I, I like your, I, your thoughts on there needs to be a, there needs to be focus and, and thought in how teams are hired. Let's talk about attracting and retaining those women now, especially in sales roles, we all know the number, the percentages of women in technical roles, but what are some of the things that, that you do Stephanie, that NetApp does to attract and retain women in those sales roles? >>The, the attracting part's really interesting. And we find that, you know, you, you read the stats and I'd say in my experience, they're also true in the fact that a lot of women would look at a job description and say, I can't do a hundred percent of that. So I'm not even going to apply with the women that we've attracted to our team. We've actually intentionally reached out and targeted those people in a good way to say, Hey, we think you've got what it takes. Some of the feedback I've got from those women are, gosh, I didn't think I could ever get this role. I didn't think I had the skills to do that. And they've been hired and they are doing a phenomenal job. In addition to that, I think a lot of the feedback I've got from these hires are, Hey, it's an aggressive sales is aggressive. Sales is competitive. It's not an environment that I think I can be successful in. And what we show them is bring those softer skills around collaboration, around connection, around building teams. And they do, they do bring a lot of that to the team. Then they see others like them there and they know they can be successful cuz they see others like them on the team. >>The whole concept of we can't be what we can't see, but we can be what we can see is so important. You said a couple things, Stephanie, that really stuck with me. And one of 'em was an, an interview on the cube I was doing, I think a couple weeks ago about women in tech. And the stat that we talked about was that women will apply will not apply for a job unless they meet 100% of the skills and the requirements that it's listed, but men will, if they only meet 60. And I, that just shocked me that I thought, you know, I, I can understand that imposter syndrome is real. It's a huge challenge, but the softer skills, as you mentioned, especially in the last two years, plus the ability to communicate, the ability to collaborate are incredibly important to, to drive that performance of, of any team of any business. >>Absolutely. >>Danielle, talk to me about your perspective in AWS as well for attracting and retaining talent and, and, and particularly in some of those challenging roles like sales that as Stephanie said, can be known as aggressive. >>Yeah, for sure. I mean, my team is focused on the technical aspect of the field and we definitely have an uphill battle for sure. Two things we are focused on first and foremost is looking at early career women and that how we, how can we bring them into this role, whether in they're in support functions, cl like answering the phone for support calls, et cetera, and how, how can we bring them into this organization, which is a bit more strategic, more proactive. And then the other thing that as far as retention goes, you know, sometimes there will be women who they're on a team and there are no other women on that team. And, and for me, it's about building community inside of AWS and being part of, you know, we have women at solution architecture organizations. We have, you know, I just personally connect people as well and feel like, oh, you should meet this person. Oh, you should talk to that person. Because again, sometimes they can't see someone on their team like them and they just need to feel anchored, especially as we've all been, you know, kind of stuck at home during the pandemic, just being able to make those connections with women like them has been super important and just being a long tenure Amazonian, that's definitely one thing I'm able to, to bring to the table as well. >>That's so important and impactful and spreads across organizations in a good way. Daniel let's stick with you. Let's talk about some of the allies that you've had sponsors, mentors that have really made a difference. And I said that in past tense, but I also mean in present tense, who are some of those folks now that really inspire you? >>Yeah. I mean, I definitely would say that one of my mentors and someone who ha has been a sponsor of my career has Matt ion, who is one of our control tower GMs. He has really sponsored my career and definitely been a supporter of mine and pushed me in positive ways, which has been super helpful. And then other of my business partners, you know, Sabina Joseph who's cube alum as well. She definitely has been, was a fabulous partner to work with. And, you know, between the two of us for a period of time, we definitely felt like we could, you know, conquer the world. It's very great to go in with a, with another strong woman, you know, and, and get things done inside of an organization like AWS. >>Absolutely. And know S I've had, I've been agreed here several times. So Stephanie, same question for you. You talked a little bit about your kind of, one of your original early allies in the tech industry, but talk to me about allies sponsors, mentors who have, and continue to make a difference in your life. >>Yeah. And, you know, I think it's a great differentiation as well, right? Because I think that mentors teach us sponsors show us the way and allies make room for us at the table. And that is really key difference. I thinks also as women leaders, we need to make room for others at the table too, and not forget those softer skills that we bring to the table. Some of the things that Danielle mentioned as well about making those connections for others, right. And making room for them at the table. Some of my allies, a lot of them are men. Brian ABI was my first mentor. He actually is in the distribution, was in distribution with advent tech data no longer there, Cory Hutchinson, who's now at Hashi Corp. He's also another ally of mine and remains an ally of mine, even though we're not at the same company any longer. So a lot of these people transcend careers and transcend different positions that I've held as well and make room for us. And I think that's just really critical when we're looking for allies. And when allies are looking for us, >>I love how you described allies, mentors and sponsors Stephanie. And the difference, I didn't understand the difference between a mentor and a sponsor until a couple of years ago. Do you talk with some of those younger females on your team so that when they come into the organization and maybe they're fresh outta college, or maybe they've transitioned into tech so that they can also learn from you and understand the importance and the difference between the allies and the sponsors and the mentors? >>Absolutely. And I think that's really interesting because I do take an extra approach and extra time to really reach out to the women that have joined the team. One, I wanna make sure they stay right. I don't want them feeling, Hey, I'm alone here and I need to, I need to go do something else. And they are located around the world, on my team. They're also different age groups. So early in career, as well as more senior people and really reaching out, making sure they know that I'm there. But also as Danielle had mentioned, connecting them to other people in the community that they can reach out to for those same opportunities and making room for them >>Make room at the table. It's so important. And it can, you never know what a massive difference and impact you can make on someone's life. And I, and I bet there's probably a lot of mentors and sponsors and allies of mine that would be surprised to know the massive influence they've had Danielle back. Let's talk about some of the techniques that you employ that AWS employs to make the work environment, a great place for women to really thrive and, and be retained as Stephanie was saying. Of course that's so important. >>Yeah. I mean, definitely I think that the community building, as well as we have a bit more programmatic mentorship, we're trying to get to the point of having a more programmatic sponsorship as well. But I think just making sure that, you know, both E everything from recruit to onboard to ever boarding that they they're the women who come into the organization, whether it's they're coming in on the software engineering side or the field side or the sales side that they feel as though they have someone working with them to help them drive their career. Those are the key things that were, I think from an organizational perspective are happening across the board. For me personally, when I run my organization, I'm really trying to make sure that people feel that they can to me at any time open door policy, make sure that they're surfacing any times in which they are feeling excluded or anything like that, any challenges, whether it be with a customer, a partner, or with a colleague. And then also of course, just making sure that I'm being a good sponsor to, to people on my team. That is key. You can talk about it, but you have to start with yourself as well. >>That's a great point. You you've got to, to start with yourself and really reflect on that and, and look, am I, am I embodying what it is that I need? And not that I know they need that focused, thoughtful intention on that is so importants, let's talk about some of the techniques that you use that NetApp uses to make the work environment, a great place for those women are marginalized communities to really thrive. >>Yeah. And I appreciate it. And it much like Danielle and much like AWS, we have some of those more structured programs, right around sponsorship and around mentorship, probably some growth there, opportunities for allies, because I think that's more of a newer concept in really an informal structure around the allies, but something that we're growing into at NetApp on my team personally, I think leading by example is really key. And unfortunately, a lot of the life stuff still lands on the women, whether we like it or not, I have a very active husband in our household, but I still carry when it push comes to shove it's on me. And I wanna make sure that my team knows it's okay to take some time and do the things you need to do with your family. I'm I show up as myself authentically and I encourage them to do the same. >>So it's okay to say, Hey, I need to take a personal day. I need to focus on some stuff that's happening in my personal life this week. Now obviously make sure your job' covered, but just allowing some of that softer vulnerability to come into the team as well, so that others, men and women can feel they can do the same thing. And that it's okay to say, I need to balance my life and I need to do some other things alongside. So it's the formal programs, making sure people have awareness on them. I think it's also softly calling people out on biases and saying, Hey, I'm not sure if you know, this landed that way, but I just wanted to make you aware. And usually the feedback is, oh my gosh, I didn't know. And could you coach me on something that I could do better next time? So all of this is driven through our NetApp formal programs, but then it's also how you manifest it on the teams that we're leading. >>Absolutely. And sometimes having that mirror to reflect into can be really eye-opening and, and allow you to, to see things in a completely different light, which is great. You both talked about kind of being what you can see. And, and I know both companies are obsess customer obsessed in a good way. Talk to me a little bit, Danielle, go back over to you about the AWS NetApp partnership. Some of the maybe alignment on, on performance on obviously you guys are very well aligned in terms of that, but also it sounds like you're quite aligned on diversity and inclusion. >>Well, we definitely do. We have the best partnerships with companies in which we have these value alignments. So I think that is a positive thing, of course, but just from a, from a partnership perspective, you know, from my five now plus years of being a part of the APN, this is, you know, one of the most significant years with our launch of FSX for NetApp, with that key key service, which we're making available natively on AWS. I, I can't think of a better Testament to the, to the partnership than that. And that's doing incredibly well and it really resonates with our customers. And of course it started with customers and their need for NetApp. So, you know, that is a reflection, I think, of the success that we're having together. >>And Stephanie talk to about the partnership from your perspective, NetApp, AWS, what you guys are doing together, cultural alignment, but also your alignment on really bringing diversity into drive performance. >>Yeah, I think it's a, a great question. And I have to say it's just been a phenomenal year. Our relationship has started before our first party service with FSX N but definitely just the trajectory between the two companies since the announcement about nine months ago has just taken off to a, a new level. We feel like an extended part of the family. We worked together seamlessly. A lot of the people on my team often say we feel like Amazonians, and we're really part of this transformation at NetApp from being that storage hardware company, into being an ISV and a cloud company. And we could not do this without the partnership with AWS and without the first party service of Fs XM that we've recently released. I think that those joint values that Danielle referred to are critical to our success, starting with customer obsession and always making sure that we are doing the right thing for the customer. >>We coach our team teams all the time on if you are doing the right thing for the customers, you cannot do anything wrong. Just always put the customer at the dis in the center of your decisions. And I think that there is a lot of best practice sharing and collaboration as we go through this change. And I think a lot of it is led by the diverse backgrounds that are on the team, female, male race, and so forth, and just to really have different perspectives and different experiences about how we approach this change. So we definitely feel like we're part of the family. We are absolutely loving working with the AWS team and our team knows that we are the right place, the right time with the right people. >>I love that last question for each of you. And I wanna stick with you Stephanie advice to your younger self, think back 25 years. What advice would you seen what you've accomplished and maybe the, the turns and, and serendipitous route that you've taken along the way, what would you advise your younger Stephanie self? >>I would say keep being curious, right? Keep being curious, keep asking questions. And sometimes when you get a no, it's not a bad thing, it just means not right now and find out why and, and try to get feedback as to why maybe that wasn't the right opportunity for you, but, you know, just go for what you want. Continue to be curious, continue to ask questions and find a support network of people around you that wanna help you because they are there and they are, they wanna see you be successful too. So never be shy about that stuff. >>Absolutely. And I always say failure does not have to be a bad F word. A no can be the beginning of something. Amazing. Danielle, same question for you. Thinking back to when you first started in your career, what advice would you give your younger self? >>Yeah, I think the advice I'd give my younger self would be, don't be afraid to put yourself out there. It's certainly, you know, coming from an engineering background, maybe you wanna stay behind the scenes, not, not do a presentation, not do a public speaking event, those types of things, but back to what the community really needs. This thing, you know, I genuinely now took me a while to realize it, but I realized I needed to put myself out there in order to, you know, allow younger women to see what they could be. So that would be the advice I would give. Don't be afraid to put yourself out there. >>Absolutely. That advice that you both gave are, is so fantastic, so important and so applicable to everybody. Don't be afraid to put yourself out there, ask questions. Don't be afraid of a, no, that it's all gonna happen at some point or many points along the way. That can also be good. So thank you ladies. You inspired me. I appreciate you sharing what AWS and NetApp are doing together to strengthen diversity, to strengthen performance and the advice that you both shared for your younger was brilliant. Thank you. >>Thank you. >>Thank you >>For my guests. I'm Lisa Martin. You're watching the AWS partner showcase. See you next time.

>>Hello and welcome to the AWS partners showcase season one, episode two. I'm your host of the cube John ferry. We're here with two great guests who John Kumar, CEO of and Sabina Joseph, the general manager of AWS. Welcome to the show. Welcome to welcome to the cube, >>John. Good to see you >>Again. Great to see both of you both cube. Alumna's great to see how the businesses is going, going very well. Cloud scale, continuing to dominate Columbia is doing extremely well. Tell us more about what's going on in Columbia. What's your mission? What kinds of use cases are you seeing? Napa John, that's helping you guys keep your growth trajectory and solve your customer problems. >>Yeah. Firstly, thank you, John. Thank you, Sabina. Great to be here is a backup as a service platform. That's built natively on AWS for AWS, and we do support other use cases beyond AWS. But our primary mission is to basically deliver, you know, a ransomware data protection solution, you know, on AWS for AWS customers. Right? So if we think about it, you know, one of the things that's, you know, typically holding back any company to put mission critical workloads on a fantastic platform, a public cloud platform like AWS is to make sure that the data is protected in the event of any attack. And it's also done with extreme amount of simplicity, right? So that nobody is doing the heavy lift of doing backup themselves, right? So that's what really drew me or provides. It's a service. It's a turnkey service that provides, you know, data protection on AWS, whatever. >>Well, you're a frequent cube alumni. We're always talking about the importance of that, but I want to ask you this year more than ever, you're seeing it at the center of the conversation built in from day one, you're seeing a lot more threats, certainly mentioned ransomware and more there's more and more online attacks that's impacting this particular area more than ever before. Can you comment on what your focus has been this year around that? >>Yeah, I see it. If you think about tumor's evolution, our primary mission has been to go and protect every data source, but guess what? Right with more and more move to the public cloud and you look just AWS is journey and that pioneer in public cloud going from, you know, whatever 3 billion in revenues, 10 years ago to north of 70 billion run rate today, there's so much of data that is in the public cloud and the, and the most important thing that customers need is they want to free themselves from going and protecting this data themselves. Right? And, and there's a lot of scale in these environments, right? If you look at customers running hundreds of thousands of AWS accounts across every region on AWS, and if you give them that kind of flexibility and that kind of scale, what they want is give me a turnkey solution that just allows me to go and protect all of these workloads running across all of these regions in a service that takes the data out of my accounts separately in an air gap fashion, right. And that's really what we basically provide. And that's what we focused on over the last 12 months. Right? So if you look at what we have done is we've gone after every important service on AWS TC to EBS RDS, S3, dynamo, sequel databases, and other databases running on top of BC too. So now that becomes the comprehensive set of things that somebody needs to use to really deliver an application on top of the public cloud. And that's where we want for, >>And the growth has been there and the results on Amazon because of the refactoring has been huge. Can you share any examples of some successes that you've had with, with the AWS refactoring and all that good stuff going on? >>Yeah. I mean, I think that what we have seen is, you know, customers that basically told us that before you guys existed, we had to go and build these things ourselves, right. Again, you know, they had all the, the, the blocks to go and do it themselves, but it was so much of a heavy lift to go and do it themselves. And again, they didn't want to be in a, you know, in that business. So, so what we have done essentially for, and we have, you know, we have some joint customers at a pretty massive scale that basically have said that, okay, let me just use your solution to protect my critical assets. Like, you know, things, you know, sitting in S3 and really, you know, we'll use gloomy as a, as a >>Yeah, I think that's a great example of the refactoring Sabina. Gotta, I gotta ask you, you obviously you're at the center of this. You have your hand on the wheel of the partnerships and all the innovators out there. The growth of AWS just has been spectacular because there's value being created. Again, companies are refactoring their business on the cloud and you're at the center of it. So talk about the partnership with Clooney. Can you tell us how it all started and where it's going? >>Yeah, thanks for having me here, John, and good to see you again, Fujian, if I'm not mistaken for John, we met each other at the San Francisco summit, the AWS San Francisco summit, actually I believe it was in 2016 or 2017. You can correct me if I'm wrong here, but yes, I think so. It was, it was in the 8% a month of April. I still remember it. And that's when, you know, you kind of mentioned to me about and this modern backup as a service solution that you were creating, you're still in stealth mode. So you couldn't talk a lot about it. And B started to engage deeply on the partnership, right from 2017. And initially we were kind of focused around helping Colombia build a solution using our well-architected review. And then as soon as we all came out of stealth mode, we started to engage more deeply around deeper integrations and also on go to market activities. >>As you know, AWS has a very prescriptive approach to our partnerships. So we started to work with around the five pillars of security, reliability, cost optimization, performance, and operational excellence to really help them tune the solution on AWS. And we also started to engage with our service teams and I have to thank Paul John and his team here. They really embraced those deeper and broader integrations, many services that Pooja mentioned, but also specifically want to mention S3 EBS. And our Columbia was also a launch partner for AWS outpost when AWS in fact, launched outpost. So I want to kind of commend CLU, CLU MEO, and the entire team kind of embracing this technology and innovation and this modern backup as a service approach. And also also embracing how we want to focus on the five key pillars that I mentioned. >>And that's a great example of success when you ride the wave, which I talk about the ACLU, Colombia trends in the data protection, because one of the things that you pointed out earlier is the ransomware. Okay. That's a big one, right? That's a big, hot area. How, how is the cloud, first of all, how is that going? And then how has the cloud equation changed the ransomware defense and protection piece of it? >>Yeah. Now I just, I wonder I had a little bit on what Sabina mentioned before I answered the question, John, if you don't mind. Sure. I think that collaboration is where is the reason why we are here today, right? Like if you think about it, like we were the first design partners to go and build, you know, the EBS direct API, right. And we work closely with the EBS teams, not just for the API, but the cost structure of it. How would somebody like us use it? So we are at the bleeding edge of some of these services that we are using and that has enabled us, you know, to be where we are today. So again, thank you very much to be enough for this fantastic partnership. And again, there's so much to go and do to really go and nail this in a, in a, in a, in a great way on, on the public cloud. >>So now coming back to your question, John, you know, fundamentally, if you see right, you know, what happened is when, when, when customers move to the public cloud, you know, right there, you know, the ease of use with which, you know, AWS provides these services, right? And the consumption of these services actually drives some amazing behavior, right? Where people actually want to go and build, build, build, and build. But then it comes a time where somebody comes in and says, okay, you know, are you compliant? Right. You know, do you have the right compliance in place? You have all these accounts that you have, but what is running in each of these accounts, you have visibility in those accounts. And are these accounts that the data in these accounts is this gap, right? This is getting air gap in the same region, or does it need to be across regions? >>Right. You know, I'm in the east, do I need to, you know, have an air gap in the west and so on and so forth. Right? So all of these, you know, confluence of all these things come in and by the, all these problems existed in on-premise world, they get translated in, in the public cloud, where do I need to replicate my data, doing it to back it up? Do I need air gapped in a, like an on-prem world? You had a data domain of plans, which was separate from your primary storage for a reason, same similar something similar now needs to happen here for compliance reasons and for ransomware reason. So a lot of parallels here is just that here we are, it almost feels like, you know, as they say, right, the more things changed. The more they remain the same. That's what it is in the public cloud again. >>Well, that's a good point. I mean, let's take that example of on premises versus the cloud. Also, the clouds got more scale too, by the way. So now you've got regions, this is a common problem that customers are having, you can build your own and, or use solutions, but if you don't get ahead of it, the compliance question can bite you in the, you know what, because you then got to go back and retrofit everything. So, so that's kind of what I hear a lot on my end is like, okay, I want to be compliant from day one. I want to have an answer when asked, I don't want to have to go to old techniques that don't fit the cloud. That comes up a lot. What's your answer to that? >>Yeah, no, no. We were pretty much right. I think it's like, you know, when it, when it comes to compliance and all of these things, you know, people at the end of the day are looking for that same foundation of, of things. The same questions are asked for an encryption. You know, you know, I is my data where it needs to be when it needs to be right. What is my recovery point? Objective? What is my recovery time objective? All of these things basically come together. And now, as you said, it's just the scale that you're dealing is, is extremely different in the cloud and the, and the services, right? The easier it is that, you know, it is to use these services. And especially what AWS does, it makes it so easy. So compelling that same ease of use needs to get translated with a SAS service, like what we are doing with data protection, right? That that ease of use is very important. You have to preserve that sanctity >>Sabina. Let's get back to you. You mentioned earlier about the design partner, that benefits for Colombia. Now let's take it to the next level. As customers really realize they have a problem, they need solutions and you're on the AWS side. So you gotta have the answers for the customers. You've got to put people together, make things work. There's a variety of things that you guys offer. What are some of the different facets of the ISV or the partner programs that you offer to partners like Clooney, you know, that they can benefit from? >>Absolutely John, we believe in a win-win approach to the partnerships because that's what makes partnerships durable over time. We're always striving to do better here. And we continue to broaden our investments. As you know, John, the AWS management team, right from Adam Phillipsky, our CEO down firmly believe that partners are critical to our success, our longterm success, and as partners like CLU MEO work to lean in with us with more investment resources, our technology innovation. We also ensure that we are doing our part by providing value back to Cleo about a few years ago, as you might recall, right. We really did a lot of investment in our sales team on the AWS side. Well, one of the tanks me and also our partners observed is while we were making investments in the AWS sales team, I don't think we were doing a great job at helping our partners with reaching out to those customers. >>What we call as co-sale and partners gave us feedback on this. We are very partner and customer feedback driven, and we introduced in fact, a new role called the ISP success manager, ISS, who are basically embedded in our field. And they work with partners to help them close opportunities. And also net new opportunities are we've also in 2020. I believe that re-invent, we launched the ISB accelerate program whereby we offer incentives to the AWS field team to work with our partners to close existing opportunities and also bring in net new opportunities. So all of this has led to closer collaboration in the field between both our field teams, Muir's field team and our field team, but also accelerated mutual customer wins. I'm not saying that we are doing everything great. We still have a long ways to go. And we are constantly getting feedback from cluneal and also some of our other key partners, and we'll continue to get better at it. But I think the role of the ISV success manager and also the ISP accelerate program has been key to bringing in cold cell success. >>Well, John, what's your take on, is this a good partnership for you? I mean, see, the wave of Vegas has got the growth numbers. You mentioned that, but from a partnership standpoint, you're closing business, they got scale. Is it working? How do you organize your company to take advantage of these benefits? Can you share your thoughts? >>Absolutely not. We have embraced the ecosystem wholeheartedly 100%, but if you think about it, what we have done is look at our offering on AWS marketplace. There's an example, right? We are the only company I would say in our domain, obviously that routes our entire business through AWS marketplace. Whether obviously we get a lot of organic benefit from AWS marketplace, people go and search for a solution and from your shows up, and obviously they go and onboard self onboard themselves, and guess what? We let them self onboard themselves. And we rely on AWS's billing automatically. So you don't need to talk to us. You can just get billed automatically in your AWS bill and you get your data protection solution. Or if you directly reached out to us, guess what we do. We actually route you through AWS marketplace. All the onboarding is just to one place and it's a fantastic experience. >>So we have gone like all in, on that experience and completely like, you know, internalized that that's the right way to do things. And of course, thanks to, you know, Sabina's team and the marketplace team to create that platform so that we could actually plug it into it. But that's the kind of benefits that we have that we have, you know, taken advantage of a DWI. That's one example, another example that Sabina mentioned, right, which is the whole ACE program. We put a ton of registrations on AIS and with all the wins that we get on AWS, they could broadcast it to the sellers. So that creates its own vicious cycle in terms of more coming into the pipeline and more closing in. So, so these are just two small examples, but there's other examples that we look at our recent press release, where AWS, you know, when we, when we launched yesterday data protection and backup, the GM of AWSs three supported us in the press release. So there's things like that, that it's a, it's a fantastic collaboration. That's working really well for our joint customers. Sorry. >>And tell us something about the partnership between 80 of us, including, you know, that people might not be aware of some of the things that Poojan said that they're different out there that, that are, co-selling go marketing, that you guys offer people you guys work together on. >>Yeah. The, the ISV accelerate program that was created, it was really created with partners like Klunier in mind, our SAS partners. I think that that is something very, very unique between our partnership and, you know, I, I want to double click on what Poojan said, which is riding their opportunities through marketplace, right? All of their opportunities. That is something pretty unique. They understand the richness of the platform and also how customers are procuring software today in this world. And they've embraced that. And we really appreciate that. And I want to say, you know, another thing about Qumulo is they're all in on AWS, which is another unique thing. There are not a lot of, I would say all in partnerships in my world and I manage infrastructure, business apps, applications, and industry partnerships from the Americas globally. And all of those things are very, very unique in our partnership, which has led to success. Right. We started very, very early stage when Columbia was in stealth mode in 2017 and look where we've come today. And it's really kudos to Paul, John and his entire team for believing in the partnership for leaning in with us and for placing that trust with us. >>Awesome. Pooja, any final words you'd like to share for folks out there about the conversation and what's going on in Columbia? >>Yeah, no, absolutely. You know, as I said, I think we have been fortunate to be very early adopters of all these technologies and go and really build what a true cloud native solution has to be. Right. And, and again, right, you know, this is what customers are really looking for. And people are looking for, you know, at least on the data protection side, you know, ransomware air gap solution, people are looking for a solution natively built on the cloud because that's the only way a solution can deliver something at the scale and the cost structure that is needed to have, you know, a data protection solution in the public cloud. So, so this has been just a fantastic thing end to end, you know, for us overall. And we really look forward to, you know, going, you know, doing much more with AWS as we essentially go and scale, >>I have to ask, but before we, before we go, cause you're the CEO of the company and founder having all that backend infrastructure from Amazon, just on the resources, great. It creates a market for your product, but also the sales piece, you know, they got the marketplace, you mentioned, that's a big expense that you don't have to carry, you know, and you get revenue and top line. I mean, that's an impact for startups out there and growing companies. That's a pretty big deal. What's your, what's your advice to folks out there who are trying to think about the buy versus use the leverage of the, of the marketplace, which is, which is at large scale, because as a CEO, you're, you've got to make these decisions. What's your opinion on that? >>It's not, it's not as, as easy as I make it sound to do your own part. You know, AWS is, is, is, is huge, right? It's huge. And so we have to do our part to educate everybody within the, you know, even the AWS seller base to make sure that they internalize the fact that this is the right solution for the customers, for our joint customers, right? So we have to do that all day long. So there's no running away the no shortcut to everything, but obviously AWS does its part to make it very, as easy as possible, but there's a lot of heavy lifting we still have to do. And I think that'll only become easier and easier over the next few years >>And Sabina your takeout at AVS. You've got a great job. You were with all the hot growth companies. This is the big wave we're on right now with the cloud next generation clouds here, a lot of opportunities. >>Absolutely. And it's, and it's thanks to Pooja and, and partners like Lumeo that really understand what it takes to build a cloud native solution because it's part of it is building. And part of it is the co-selling go-to-market engine and embracing both of that is critical to success. >>Well, thank you both for coming on this journey here on the cube, as part of the showcase, push on. Great to see you to being a great to see you as well. And thanks for sharing that insight. Appreciate it. >>Thank you very much. >>Okay. AWS partners showcase speeding innovation with AWS. I'm John Ford, your host of the cube. Thanks for watching.

(upbeat music) >> Hello everyone, welcome to the special CUBE presentation of the AWS Partner Showcase season one, episode two. I'm John Furrier, your host of theCUBE. We've got two great guest here. Douglas Ko, Director of product marketing at Cohesity and Sabina Joseph General Manager of AWS, Amazon Web Services. Welcome to the show. >> Thank you for having us. >> Great to see you Sabina and Douglas. Great to see you, congratulations at Cohesity. Loved the shirt, got the colors wearing there on Cohesity, Always good I can't miss your booth at the shows, can't wait to get back in person, but thanks for coming in remotely. I got to say it's super excited to chat with you, appreciate it. >> Yeah, pleasure to be here. >> What are the trends you're seeing in the market when it comes to ransomware threats right now. You guys are in the middle of it right now more than ever. I was hearing more and more about security, cloud scale, cloud refactoring. You guys are in the middle of it. What's the latest trends in ransomware? >> Yeah, I have to say John, it's a pleasure to be here but on the other hand, when you asked me about ransomware, right? The data and the statistics are pretty sobering right now. If we look at what just happened in 2020 to 2021, we saw a tenfold increase in a ransomware attacks. We also saw the prediction of a ransomware attack happening every 11 seconds meaning by the time I finished this sentence there's going to be another company falling victim to ransomware. And it's also expected by 2031 that the global impact of ransomware across businesses will be over $260 billion, right? So, that's huge. And even at Cohesisity, right, what we saw, we did our own survey, and this one actually directly to end users and consumers. And what we found was over 70% of them would reconsider doing business with a company that paid a ransom. So all these things are pretty alarming and pretty big problems that we face today in our industry. >> Yeah, there's so many dimensions to it. I mean, you guys at Cohesity have been doing a while. It's being baked in from day one, security in the cloud and backup recovery, all that is kind of all in one thing now. So to protect against ransomware and other threats is huge Sabina, I got to ask you Amazon's view of ransomware is serious. You guys take it very seriously. What's the posture and specifically, what is AWS doing to protect customers from this threat? >> Yeah, so as Doug mentioned, right, there's no industry that's immune to ransomware attacks. And just as so we all level set, right? What it means is somebody taking control over and locking your data as an individual or as a company, and then demanding a ransom for it, right? According to the NIST, the National Institute of Standards and Technology cybersecurity framework, there are basically five main functions which are needed in order to plan and manage these kind of cybersecurity ransomware attacks. They go across identifying what do you need to protect, actually implementing the things that you need in order to protect yourself, detecting things if there is an attack that's going on, then also responding, how do you get out of this attack? And then bringing things, recovery, right? Bringing things back to where they were before the attack. As we all know, AWS takes security very seriously. We want to make sure that our customer's data is always protected. We have a number of native security solutions, but we are also looking to see how we can work with partners. And this is in fact when in the fall of 2019, the Cohesity CEO, Mohit Aron, myself and a couple of us, we met and we brainstorm, what could we do something that is differentiated in the market? When we built this data management as a service native solution on top of AWS, it's a first of a kind solution, John. It doesn't exist anywhere else in the market, even to even today. And we really focused on using the well architected review, the five pillars of security, reliability, operational excellence, performance, and cost optimization. And we built this differentiated solution together, and it was launched in April, 2020. And then of course from a customer viewpoint, they should use a comprehensive set of solutions. And going back to that security, that cyber security framework that I mentioned, the Cohesity data management as a service solution really falls into that recovery, that last area that I mentioned and solution actually provides, granular management of data, protection of data. Customers can spin up things very quickly and really scale their solution across the globe. And ensure that there is compliance, no matter how many times we do data changes, ads and so on across the world. >> Yeah, Sabina, that's a great point about that because a lot of the ransomware actually got bad actors, but also customers can misconfigure things. They don't follow the best practice. So having that native solutions are super important. So that's a great call out. Douglas, I got to go back to you because you're on the Cohesity side and a the partner of AWS. They have all these best practices that for the good actors, got to pay attention to the best practices and the bad actors also trying to get in creates a two, challenge an opportunity. So how do organizations protect their data against these attacks? And also how do they maintain their best practices? Because that's half the battle too, is the best practices to make sure you're following the guidelines on AWS side, as well as protecting the attacks. What's your thoughts? >> Yeah, absolutely. First and foremost, right? As an organization, you need to understand how ransomware operates and how it's evolved over the years. And when you first look at it, Sabina already mentioned it, they started with consumers, small businesses, attacking their data, right? And some of these, consumers or businesses didn't have any backup. So the first step is just to make sure your data is backed up, but then the criminals kind of went up market, right? They understood that big organizations had big pocket and purses. So they went after them and the larger organizations do have backup and recovery solutions in place. So the criminals knew that they had to go deeper, right? And what they did was they went after the backup systems themselves and went to attack, delete, tamper with those backup systems and make it difficult or impossible to recover. And that really highlighted some solutions is out there that had some vulnerabilities with their data immutability and capabilities around WORM. And those are areas we suggest customers look at, that have immutability and WORM. And more recently again, given the way attacks have happened now is really to add another layer of defense and protection. And that includes, traditionally what we used to call, the 3-2-1 rule. And that basically means, three copies of data on two different sets of media with one piece of that data offsite, right? And in today's world and the cloud, right? That's a great opportunity to kind of modernize your environment. I wish that was all that ransomware guys we're doing right now and the criminals were doing, but unfortunately that's not the case. And what we've seen is over the past two years specifically, we've seen a huge increase in what you would call data theft or data exfiltration. And that essentially is them taking that data, a specific sense of the data and they're threatening to expose it to the dark web or selling it to the highest bidder. So in this situation it's honestly very difficult to manage. And the biggest thing you could do is obviously harden your security systems, but also you need a good understanding about your data, right? Where all that sensitive information is, who has access to it and what are the potential risks of that data being exposed. So that takes another step in terms of leveraging a bunch of technologies to help with that problem set. >> What can businesses do from an architectural standpoint and platform standpoint that you guys see there's key guiding principles around how their mindset should be? What's the examples of other approaches- >> Yeah. >> Approach here? >> No, I think they are both us at Cohesity and I'll speak for Sabina, AWS, we believe in a platform approach. And the reason for that is this a very complicated problem and the more tools and more things you have in there, you add risk of complexity, even potential new attack surfaces that the criminals can go after. So we believe the architecture approach should kind of have some key elements. One is around data resiliency, right? And that again comes from things like data encryption, your own data is encrypted by your own keys, that the data is immutable and has that, right, want to read many or WORM capabilities, so the bad guys can't temper with your data, right? That's just step one. Step two is really understanding and having the right access controls within your environment, right? And that means having multi factor authentication, quorum, meaning having two keys for the closet before you can actually have access to it. But it's got to go beyond there as well too. We got to leverage some newer technologies like AI and machine learning. And that can help you with detection and analysis of both where all your sensitive information is, right? As well as understanding potential anomalies that could signify attack or threat in progress. So, those are all key elements. And the last one of course is I think it takes a village, right? To fight the ransomware war. So we know we can't do it alone so, that's why we partner with people like AWS. That's why we also partner with other people in the security space to ensure you really have a full ecosystem support to manage all those things around that framework. >> That's awesome. Before I get to Sabina, I want to get into the relationship real quick, but I want to come back and highlight what you said about the data management as a service. This is a joint collaboration. This is some of the innovation that Cohesity and AWS are bringing to the market to combat ransomware. Can you elaborate more on that piece 'cause this is important. It's a collaboration that we're going to gather. So it's a partner and you guys were going to take us through what that means for the customer and to you guys. I mean, that's a compelling offering. >> So when we start to work with partners, right? we want to make sure that we are solving a customer problem. That's the whole working backwards from a customer. We are adding something more that the customer could not do. That's why when either my team or me, we start to either work on a new partnership or a new solution, it's always focused on, okay, is this solution enabling our customer to do something that they couldn't do before? And this approach has really helped us, John, in enabling majority of the fortune 500 companies and 90% of the fortune 100 companies use partner solutions successfully. But it's not just focused on innovation and technology, it's also focused on the business side. How are we helping partners grow their business? And we've been scaling our field teams, our AWS sales teams globally. But what we realized is through partner feedback, in fact, that we were not doing a great job in helping our partners close those opportunities and also bring net new opportunities. So in our field, we actually introduced a new role called the ISV Success Manager, ISMs that are embedded in our field to help partners either close existing opportunities, but also bring net new opportunities to them. And then at re:Invent 2020, we also launched the ISB accelerate program, which enables our field teams, the AWS field teams to get incentive to work with our partners. Cohesity, of course, participates in all of these programs and has access to all of these resources. And they've done a great job in leveraging and bringing our field teams together, which has resulted in hundreds of wins for this data management as a service solution that was launched. >> So you're bringing customers to Cohesity. >> Absolutely. >> Okay, I got to get the side. So they're helping you, how's this relationship going? Could you talk about the relationship on the customer side? How's that going? Douglas, what's your take on that? >> Yeah, absolutely. I mean, it's going great. That's why we chose to partner with AWS and to be quite honest, as Sabina mentioned, we really only launched data management and service back in 2020, late 2020. And at that time we launched with just one service then, right, when we first launched with backup as a service. Now about 15 months later, right? We're on the brink of launching four services that are running on AWS cloud. So, without the level of support, both from a go to market standpoint that Sabina mentioned as well as the engineering and the available technology services that are on the AWS Cloud, right? There's no way we would've been able to spin up new services in such a short period of time. >> Is that Fort Knox and Data Govern, those are the services you're talking about Or is that- >> Yeah, so let me walk you through it. Yeah, so we have Cohesity DataProtect, which is our backup as a service solution. And that helps customers back their data to the cloud, on-prem, SaaS, cloud data like AWS, all in a single service and allows you to recover from ransomware, right? But a couple months ago we also announced a couple new services that you're alluding to John. And that is around Fort Knox and DataGovern. And basically Fort Knox, it is basically our SaaS solution for data isolation to a vaulted copy in the AWS cloud. And the goal of that is to really make it very simple for customers, not only to provide data immutability, but also that extra layer of protection by moving that data offsite and keeping it secure and vaulted away from cyber criminals and ransomware. And what we're doing is simplifying the whole process that normally is manual, right? You either do it manually with tapes or you'll manually replicate data to another data center or even to the cloud, but we're providing it as a service model, basically providing a modern 3-2-1 approach, right? For the cloud era. So, that's what's cool about Fort Knox, DataGovern, right? That's also a new service that we announced a few months ago and that really provides data governance and user behavior analytics services that leverages a lot that AI machine learning that everybody's so excited about. But really the application of that is to automate the discovery of sensitive data. So that could be your credit card numbers, healthcare records, a personal information of customers. So understanding where all that data is, is very important because that's the data that the criminals are going to go after and hold you host. So that's kind of step one. And then step two is again, leveraging machine learning, actually looking at how users are accessing and managing that data is also super important because that's going to help you identify potential anomalies, such as people sharing that data externally, which could be a threat. It could be in improper vault permissions, or other suspicious behaviors that could potentially signify data exfiltration or ransomware attack in progress. >> That's some great innovation. You got the data resiliency, of course, the control mechanism, but the AI piece machine learning is awesome. So congratulations on that innovation. Sabina, I'm listening to conversation and hear you talk. And it reminds me of our chat at re:Invent. And the whole theme of the conference was about the innovation and rapid innovations and how companies are refactoring with the cloud and this NextGen kind of journey. This is a fundamental pillar of AWS's rapid innovation concept with your partners. And I won't say it's new, but it's highly accelerated. How are you guys helping partners be with this rapid innovation, 'cause you're seeing benefits can come faster now, Agile is here. What are some of the programs that you're doing? How are you helping customers take advantage of the rapid innovation with the secret sauce of AWS? >> Yeah, so we have a number of leadership principles, John, and one of them, of course, is customer obsession. We are very focused on making sure we are developing things that our customers need. And we look for these very same qualities when we work with partners such as Cohesity. We want to make sure that it's a win-win approach for both sides because that's what will make the partnership durable over time. And this John, our leadership team at AWS, right from our CEO down believes that partners are critical to our success and as partners lean in, we lean in further. And that's why we signed the strategic collaboration agreement with Cohesity in April, 2020, where data management as a service solution was launch as part of that agreement. And for us, we've launched this solution now and as Doug said, what are the next things we could be doing, right? And just to go back a little bit when Cohesity was developing this solution with us, they used a number of our programs. Especially on the technical side, they used our SaaS factory program, which really helped them build this differentiated solution, especially focused around security compliance and cost optimizing the solution. Now that we've launched this solution, just like Doug mentioned, we are now focused on leveraging other services like security, AIML, and also our analytic services. And the reason for that is Cohesity, as we all know, protects, manages this data for the customer, but we want to make sure that the customer is extracting value from this data. That is why we continue to look, what can we do to continue to differentiate this solution in this market. >> That's awesome. You guys did a great job. I got to say, as it gets more scale, there's more needs for this rapid, I won't say prototyping, but rapid innovation and the Cohesity side does was you guys have been always on point on the back and recovery and now with security and the new modern application development, you guys are in the front row seats of all the action. So, I'll give you the final worry what's going on at Cohesity, give an update on what you guys are doing. What's it like over there these days? How's life give a quick plug for Cohesity. >> Yeah, Cohesity is doing great, right? We're always adding folks to the team, on our team, we have a few open racks open both on the marketing side, as well as the technology advocacy side. And of course, some of our other departments too, and engineering and sales and also our partner teams as well, working with AWS partners such as that. So, in our mind, the data delusion and growth is not going to slow down, right? So in this case, I think all tides raises all the boats here and we're glad to be innovative leader in this space and really looking to be really, the new wave of NextGen data management providers out there that leverages things like AI that leverages cybersecurity at the core and has an ecosystem of partners that we're working with, like AWS, that we're building out to help customers better manage their data. >> It's all great. Data is in the mid center of the value proposition. Sabina, great to see you again, thanks for sharing. And Douglas, great to see you too. Thanks for sharing this experience here in theCUBE. >> Thanks, John. >> Okay, this is theCUBE's AWS Partner Showcase special presentation, speeding innovation with AWS. I'm John Furrier your host of theCUBE. Thanks for watching. (upbeat music)

>>Hello, everyone. Welcome to the cubes presentation of the AWS partner showcase. This is season one, episode two. I'm your host, John furry with the cube. I'm joined by two cube alumni as Andy Langston, SVP and GM at Veem and Sabina Joseph, the general manager of technology partners at AWS. We're here talking about speeding the innovation with AWS. Welcome to the show. >>Ready to meet you >>And good to see you, Andy again. >>Great to have you guys back on. I hope you guys are doing well. Great to see both of you Veem. Obviously we've been covering you guys for a long time. You got your VIMANA event coming up in person, which is great. Congrats on the continued success of the company and the product you guys have always been all in on AWS. We've been covering for many, many years. Andy, what's the innovation going on now at Veem? Lots of lots happening, lots going on. What's the new innovation. >>Well, I think, you know, clearly people are in, you know, when we talk to people they're interested in, in ransomware, so ransomware protection, we they're interested in a hybrid cloud hybrid. Um, you know, AWS in particular, we get a lot of interest there. Um, clearly modern data protection, uh, what we're doing in office 365, people are looking at all those things >>And what's the, the platform, uh, approach that you guys have with AWS. You guys have a broad range. It's not just the classic. I call it the green classic solution. That's also a good product. What's some of the new platform advantages you guys got going on with the cloud native with AWS. >>Well, you know, look we are, our strategy is to protect as many AWS services as possible, you know, and, and, you know, from the ECE to EBS, S3, RDS, uh, VMC, and many of the services that they're coming out with. And in many times they come to us and say, Hey, you know, these are important to us. We'd like you to, to support these. So clearly we're, um, we're focused on those, uh, Kubernetes workloads is, is a newer set of workloads on AWS. That we're a very interested, we made an acquisition and have a product called, uh, Kasten that we've been investing in and working with AWS with their, uh, uh, EKS anywhere. So very excited. >>Great. So being on the partnership, you guys, it's growing a lot's going on. Can you tell us more about how Veeam and abs AWS are jointly helping customers? >>Yeah. As, um, as both of, you know, right. Data is exploding. And, uh, that means, you know, we have to keep backing up this data and finding new ways to back up this data because people are stepping away from the traditional backup methods, tape libraries, secondary storage sites and things like that. And they're backing up data into the cloud. And we AWS offers a number of different storage services, data transfer methods and networking solutions, which provide unmatched your ability, reliability, security. And of course, uh, AWS and Veem have been partnering together enough for quite a number of years and the cost effective. And so you mentioned that Veem has on AWS really enables customers to have offsite storage solutions, providing that physical separation between their on premises, primary data, and also utilizing the pay as you go cloud economics. So we have a great collaboration and, you know, beam has a great solution on AWS and they're constantly innovating and providing capabilities for our customers. Just like Andy said, providing as many capabilities for our services to back up, >>Andy, the volume of data I'll say is always the story. Every year, the volume is tsunami of data. It's getting worse it's every day. Um, and as you got more cloud scale, you guys have been doing a lot integration. You guys always have, you have demanding customers, you have a lot of customers actually. So as you leverage Amazon for data protection, the security conversation is front and center these days. Can you give us an update on how you guys are doing, uh, the data protection security in the cloud with AWS? That's, that's, um, that's hot with your customers, >>You know, it's a great, it's a great comment. You know, you've talked about a lot of customers. Veem has over 400,000 customers now it's, it's truly extraordinary when you think about the size and scope and scale. And if you think, uh, my belief is a majority, almost all of them will tear up two and move their data up into the cloud at some point in our, in the next few years. And so we've just, I think we've described the surface and we're moving hack, you know, hundreds of petabytes or more per year up to the cloud at the same time when I make customer executive calls. It's kind of interesting. A lot of times you think they're going to want to talk about backup and disaster recovery. They want to talk about security. And when this first started happening, I thought, Hey, why don't you talk to your security vendor now? >>And what I realized was that data protection is front and center because of the, we just, we just published a study where a number jumped out at me, 71% of the thousands of people that responded said that they had already been a victim of, or had had a ransomware attack. It's a staggering number. And, um, so, you know, when we look at our relationship with Amazon and we look at the integration we've done around what we call cloud during that's moving, are moving data up to object storage. AWS has a capability called immutable data sets. And so that allows you affords you some great protection against ransomware as an example. And that's one of the areas that we're investing in very heavily. And by the way, our mutual customers are backing up and restoring with Veem and we're doing it on AWS and, and, uh, the data volumes are exploding, I think, because of that. Yeah. >>You know, it's interesting. And you made me have a throwback for, you know, 10 years ago, we used to talk about backup and recovery. And you know, the big thing back then was, was the conversation was don't think of backup as a, as a last minute thing, think of it at the front end, it was always kind of an afterthought and a, of the it decision makers. And you mentioned that security comment about call your security vendor. It's almost the scripts has flipped backup and recovery is the security solution. And so it's not, it's not an afterthought. This is 10 years ago. It was the primary message. It's the primary thought. So when you talk about automated tiering, that's kind of a networking thing. It's like, policy-based hearing. I mean, I mean, if you go back 10 years and we're talking, policy-based hearing, you were like, what? So this is a really different dynamic. And I want you guys to comment because this is the, this is the market right now. This is with the flip, the script has flipped. >>Yeah. Sabina. What do you, what, what do you from y'all's perspective kind of in, in your technology, partnerships, storage vendors, Veem security, what, what do you w what do you see? >>Well, I think that there is an interplay here because I think customers are looking at various ways, right? When I look at those five cybersecurity framework, right? First is identifying what you need to protect, protecting it. And then that's a very important step of, out of those five steps is recovery, right? How do you get your business back to normal? But you cannot do that if you are not protecting and backing up your data. And that's where our partnership comes in. Right? So I believe that all of those five stages in the NIST cybersecurity framework kind of go together and be in place nicely into the very critical phase of recovery. Would you agree, Andy? >>I would. You know, and, and I look at, um, you know, when you're doing a recovery and your gut, your secure backups and AWS, it's, it's like your last line of defense, you know, beam and AWS deliver a mutable backups and has three tiers through S3 object lock integration. And I think that's, that's pretty much, you know, even if a ransomware attack is successful, we can, we can ensure that the backup data hadn't been changed and encrypted or deleted. And, uh, that's pretty exciting, you know, for customers and prospects, they're really worried about this. And I think the teamwork and the, the, the partnership between the two companies to build a solution like this is pretty awesome. >>Yeah. Let me, let me just double, double click on that for a second. You mentioned it got a lot of customers. Ransomware does not discriminate with the size of the company. It could be, it could be a hospital school. It could be a big company. Ransomware is bad, and we see that, and it's a great conversation. And how do you take that solution out to the customers? You got hundreds of thousands of customers. So Sabine, I guess the question is, how is this 80 of us in Veem work together? There's this channel first concept you guys are talking about, tell us about how you guys work together, because there's millions of customers who want this, and you guys actually have hundreds of thousands of customers that Veem, how do you get the customers to leverage that, the relationship and what can you bring to them? >>Yeah, I'll give you like four numbers, right? So AWS has millions of customers and we have, um, hundred thousand partners across 150 countries. Now Veem has, as Andy mentioned, right, has over 400,000 customers and 35,000 partners worldwide. So somewhere in these four numbers, we all intersect both of us intersect both on those customers and also on those partners. And one of the initiatives that my team is heavily focused on is triangulating between the partners that Veeam has. We have, and also our technology partnership. And how can we provide value to our customers by bringing together these partners together with AWS Veeam and Veeam is a V it's a hundred percent channel driven business, and they know how to do this. That is why we are heavily partnered with them to see what we can do for our customers through our mutual partner. >>And he wants you to weigh in here, you know, the channel business, it's gotta be easy, it's got to add value. And I got to wrap services around it. That's what partners love. Well, how does this work? How does that work? >>Well, I, I think to extend beyond what, what did take, what Sabina had said is, you know, we have kind of been subsetted. Our partners are the ones that, that do business with AWS and, and which is a exploding number of partners. And so they have a relationship database. We have a relationship at S and we have this solution set that have, are of interest to our customers through these partners. And AWS has customers through these partners. And so a lot of times we'll share, um, information and customers, uh, information on, around, um, how we can kind of go to these customers who are both AWS customers and Veem customers and market, this joint solution protect them from ransomware. >>And how's it been going so far? What's your, what's your assessment? >>It's been fantastic. I think the, I think one of the, the, the real proof points is that we've moved, uh, over a half a petabyte of data, you know, uh, recently up into their cloud. And, uh, you know, that says that people not only are using the solution, but they're, uh, they're actually delivering on it. >>Well, why got you here, Andy, I want to ask you for the, all the people watching the customers, what's the biggest change that's happening in this market right now. Again, I love this shift that we're seeing backup and recovery. Isn't a point solution anymore. It's the solution it's baked in, and everyone's talking about this, it's integrated in, it's not, it's, it's totally front and center. What's the big change that customers should be thinking about now as they move forward. And, uh, obviously ransomware is still front and center. That's not going away anytime soon. What's the big thing to focus on for customers? >>Well, I think, you know, I always say, you know, listen to the customer and focus on what their specific needs are, right? You can assume, obviously in the business war and everybody, everybody has a backup solution. And, uh, so you're not trying to create a market there, but like I said, you know, people are very focused on security. They're focused on cost, they're focus on skillset or lack of skill sets, right? I mean, we have a shortage of skills in the industry. So we try to make our products easy to use. We try to work with our partners, putting AWS to deliver the best solution we can for our customers. And, uh, you know, I think we have the broadest invest, you know, ransomware protection, uh, and recovery in the storage space. And so we're very focused on that, leveraging all of our technologies across the platforms, physical, virtual Kubernetes, uh, type environments. >>And you have this and you get the beam on event coming up and that's going to be good in person. Right. That's a confirmed, >>It's a, it's a, it's a hybrid yet. In-person and virtual. >>Awesome. Great to see you guys in person. So being a, for the folks, watching the Amazon partnerships, as you guys scale up these, these partnerships and take it the next level, what's your, what's your closing comment. Yes. >>Yeah. I also want to say, write something that I should mention, right. We miss also invested in AWS marketplace. So it's not just the direct consulting partners and the partners that I mentioned, the a hundred thousand and 35,000, right. They, customers can also purchase beam on AWS marketplace through consulting partner, private offers. And that's why Viva's embraced many of these aspects to try to help our customers and continue to grow that 400,000 customer base, which is a pretty phenomenal number. >>Yeah. I've always been impressed with beam's customer base and they've got a very loyal base as well. I point that out and give props to the VM team. Andy closing comments for you, the V natives relationship, how would you summarize that? >>I'd say it's fantastic. You know, years ago it started as just a normal technology partnership. You know, now we're an advanced technology partner with storage competency, numerous programs like APN, uh, customer engagement. We're a marketplace seller. And I would say that it's not only that, but, but customers can take advantages of their, um, EDP with AWS to purchase on the marketplace and get credits against that. And our partners can as well. That's a, that's a very important thing because we're seeing more and more interest in that today. Uh, we're a public sector partner with them. We're an ISV accelerate SAS revenue recognition program. We're, we're, uh, I think we're checking a lot of boxes, but really taking advantage of it. The last thing I would say is, uh, I've known Sabina for quite a few years now. And I think it's the people relationships in the two companies that make this work. >>We have a lot of people, a lot smarter than me on the, on the speeds and feeds here. But at the end of the day, um, Sabina has a team of people that work with us on a, on a, almost a daily basis to solve customer problems. Right. We get people calling in all the time. How do I make Veem work on AWS? How do I get AWS solutions to work with theme? And our job is to make it as easy as possible because we both believe, uh, that customers, they say customer first. I always say, customer always are always right, but, but, but, but you know, at the end of the day, that's what makes this >>Yeah. Customer is always right. Customer obsession, working backwards from the customer fucking customer first Sabina. This is really interesting. This is a good point. I just come quick, go back to you real quick. This integration of relationships and also cloud technology integration is a big theme this year, post re-invent. Your thoughts >>Absolutely means, um, uh, to be candid. Uh, one of the goals that me and my team take is how do we bring technology partners together to add more value to our customers in end to end solutions, along with technology partners and consulting partners. So that is a huge focus for us because we need to do that in order to scale, not just for each other, but also for our customers and bring that, bring together meaningful, comprehensive end to end solutions. >>That's awesome. Andy, great to see you. We'll see at Veem on as well, coming up for the Veem show and your conference. You've been conference hybrid conference in person and virtual and digital to be in a great to see you again. Thanks for sharing all the great updates. And this is the season two. It's all about the data and the innovations with AWS. I'm John for your host of the cube season one episode, two of the AWS partner showcase. Thanks for watching.

>>Hey guys, welcome back to the cubes. Continuous coverage day, one of AWS and re-invent live that's right live in Las Vegas. I'm Lisa Martin. Pleased to be here. We are running actually one of the industry's most important hybrid tech events with AWS this year, and it's huge ecosystem of partners. We have two lives dots, two remote studios over 100 guests on the program. We'll be talking about the next decade in cloud innovation. I'm pleased to welcome back one of our alumni and a new guest to the program. Savina Joyce Sabina, Joseph GM of technology partners at AWS joins me as well as Scott Owen, the VP of business development and global channels at air slate, guys. Welcome to the program. Thank you for having us. It's a great to be here. Live happy. Fantastic. Let's go ahead and give the audience an overview of your roles. Sabina. We'll start with you. And then Scott will go to you. >>Great to see you again, Lisa general manager for technology partnerships globally out of the Americas, and we also help partners out of EMEA and APAC grow their business in the Americas. >>Awesome. Scott goes, I'd give, give us an overview of air slate and then your role. You will. >>You bet. Uh, so, uh, air slate, we have two offerings on the AWS marketplace or e-signature offering, which is sign now and then our no-code workflow automation, which we're really excited to bring on the marketplace. I lead our business development, uh, in channels organization for the company global partnership with AWS. Uh, we're very excited about it. >>Talk to me about some of the challenges that the tools that you just mentioned, what challenges are those solving for customers in any industry? So, >>Oh, the biggest challenges right now, obviously we are in a COVID environment and, and companies are trying to drive automation optimization, especially for remote workers to today. And so part of our solutions is obviously solving that in a very, very big way on a global basis as well. >>What are some of the key trends that you're seeing? We've seen so much flux on change in the last 20 months, but what are some of the key trends, especially as it relates to workforce productivity with those work from anywhere environments still persisting, >>It's still persisting. And I'd say the challenge is we're in a hybrid mode where you have both, you know, coming to the office, not coming to the office, but still very remote, just a last week's announcement of a new variant, for example, forcing everybody back out of the office, back into a remote environment. So flexibility, uh, around supporting that hybrid workforce is key. >>And of course here we are at a hybrid event. There are people here at a lot of them in person, but there's also a lot of content that's going on virtually for those folks that weren't quite comfortable coming back to an in-person event. But let's talk about savings about how AWS has been helping joint customers with air slate through the pandemic over the last 20 months as we saw this scatter. And now this work from this hybrid kind of work environment. Yeah. So, >>So I, Scott mentioned, right, that customers are really looking for business solutions. I did have some rapidly increased the last 20 months. We are really, we've been really working together to help both workers and businesses adapt to this remote environment. And customers are looking for simple and cost effective solutions anywhere from, you know, improving and automating their business workflows with e-signature solutions, all the way to complex processes with no code capabilities and air slate does a great job of providing these solutions for our customers. >>Some of the things from a business automation perspective that are critical these days is anything contactless talking about. E-signatures for example, it's, that's really became table stakes in the last 20 months. It's not talk to me about how you would from a biz-dev lens. Describe the partnership that air slate has with AWS. >>Yeah. For our company, it is the most strategic partnership that we have and it's all the way from our board level to our executive leadership team all the way through, throughout our organization end to end it's our most strategic partnership. >>And the things that we know and love about AWS that we've talked about with Sabina is their customer first focus, their customer obsession from a cultural perspective, is there alignment there with air Slate's culture, >>A hundred percent. And one of the cool things about the AWS partner program, which we're in a high echelon period, is the focus on the customer. The customer can reduce their EDP commit by buying solutions like ourselves on the AWS marketplace, as well as the AWS account executives are also paid and incented to sell our solution as well. So it's a one plus one equals three scenario. >>That's a good scenario. One plus one plus three. So be it, talk to me about the evolution. How long have you guys been partnering with air slate? And talk to me about the evolution of the partnership. >>Yeah. We've been working together for a few years now, but I would say the last 15 months, we've really accelerated that partnership again because of customer need and really built out high velocity Cosell motions. We made available to our slate, our partnership resources, both from commercial and public sector to scale the sales motion. As Scott mentioned, they're available in marketplace and they're also part of our ISV accelerate program, which means that our sales teams are incented to work with air slate, to close opportunities. And the key is all of this has led to 250% increase in customer wins year to date as compared to 2020. So that really speaks volumes with the partnership and the need that we are solving for our customers. >>Amazing, amazing growth, 250% in, in a year's period during a pandemic, that's massive, but we saw the acceleration of cloud adoption of digital transformation and this dependence on SAS and cloud for our business lives, our daily lives, our consumer lives. That was really absolutely critical. So Scott, from your perspective, what are some of the key aspects of the AWS relationship that you think really contribute to that success and that big metric that we just met? >>Yeah, absolutely. Well, the metric is driven by the partner programs. When you have a customer that can buy on the marketplace, reduce their EDP commit. You've got account executives that are incented to resell us, but for us, we have really great leadership support around the globe. We've created joint KPIs of which we all have stacked hands on and said, here's the KPIs we want to deliver as a joint partnership. And we're delivering those, which is creating these results as well. Can you share >>Some of those KPIs even at a high level? >>Yes. A lot of them are what, uh, opportunities in our renewal base can we bring into the ado, uh, UWS, uh, ecosystem, if you will. Um, as well as in nearly every deal that we're in, we're asking, is this an AWS customer? Is it a Greenfield opportunity for AWS and bring in the associated teams together to close that opportunity, >>Scott, about some of the business outcomes, the benefits that your joint customers are achieving, leveraging the power of this partnership? >>Absolutely well there's enormous cost savings in the solutions that we bring to the table creates the optimization that we talked about, that they need. It's also driving that digital transformation, any company, any size in order to survive has to move digitally into this new space. And we believe that the two offerings we bring to the marketplace can solve that for them. >>That's one of the things that we saw, there's definitely some silver linings that have come out of the last 20 I'm losing count 22 months, something like that. And nothing like that, right. A time to value is absolutely critical. Let's talk about now go to market Sydney and going back over to you, how does AWS support partners like air slate, um, and taking the solutions to market? You talked about the marketplace, but talk to me about that from a strategic perspective. Yes. >>So one of the things we are very focused on is creating business automation solutions, especially for industry verticals across automotive, telecommunications, healthcare, life sciences, and air slate really has solutions that help address all of the horizontal use cases and the vertical use cases, which means then we can focus our demand generation activities and actually help both our direct sales team and also our channel partners really, really scale. So again, it's kudos to Scott and the air slate team in order to be able to really scale this partnership, but most importantly help our customers through these really tough times in the past 20 months. >>And it's, uh, uh, you mentioned that with the Omicron Darion variant being announced just in the last week, of course, these challenging times persist in this uncertainty persists to it's important to have partnerships, but I also imagine Scott from your, from your perspective, being able to show transparency to the customers that you're really one team, you know, with AWS, with your channel partners. Talk to me a little bit about that. What does customers actually see and feel >>While we're excited, especially around the ecosystem piece is for example, in the last few months, we've been able to activate 35 of AWS's largest channel partners, uh, due to the fact that we are in this hand, stacked KPI go to market together. And so the ecosystem of AWS, it's the trusted partner of almost every customer. And we are trying to advantage ourselves with that trusted relationship, bringing a set of solutions that helps drive the customer's outcome. >>You mentioned an important word there, Scott, that trust that is critical for every company that is becoming a data company. If they haven't become a data company by now, they're probably not going to be around much longer. Talk to me about from a trust perspective, what that means for your customers to be able to adopt these solutions, automate their businesses, allow their folks to work from anywhere and have that trust and this solid partnership and technology. >>Well, and that's the benefit of the AWS partnership. When you think of security, reliability, our entire offering basis completely on the AWS infrastructure. So we bring that trust of you can trust that the technology that it's sitting on, you can trust that it's secure, that's reliable, and we're bringing a set of solutions that drives those customer outcomes, which is cost savings, optimizations, et cetera. That combination is a win-win out there. >>And that outcome spaced focus is critical. What are some of the things Scott that folks can learn at air Slate's booth this week at reinvent for those folks that are here in person and those folks that are attending virtually >>Great question. I love that question first and foremost, both offerings are on the AWS marketplace, but we're the only e-signature offering on the marketplace. And we're the only end to end workflow automation offering on the marketplace as well. So again, uh, important to note we're on that AWS marketplace, AEs from AWS can take advantage of that end. Customers can take advantage of that. Uh, and we take advantage of it just to the, our great go to market partnership. >>We're going to mark great, good to market partnership, but also I'm hearing a pretty significant differentiator being the only ones in the marketplace with those. Talk to me about how that, I mean, one, one more question. How does that facilitate like customer conversations? I imagine that's a huge differential >>Here's is a significant different traitor to us obviously, but again, it's the power of one. Plus one equals three in the partnership, we brought a set of solutions that the customer needs. We do it on the AWS marketplace and AWS infrastructure that we sit on that creates that trust factor that you mentioned. >>I have to add, right? That air slate and team, when they saw that they were the first right, they embraced that and they broke ground and they listed on marketplace and that's paying off for them. >>Very smart. Well guys, congratulations on your joint success. Your go to market strategy seems brilliant, and we look forward to hearing many more successful years from airside and AWS together. Thank you for your insights. Thank you. Thank you. Thank you. Pleasure. You were great for my guests. I'm Lisa Martin. You're watching the cube live from AWS. Reinvent the leader in global alive tech coverage.

>>Welcome back to the cubes. Continuous live coverage of AWS reinvent 2021 live from Las Vegas. It's I'm Lisa Martin. And it's so great to say that we are doing with AWS and its massive ecosystem of partners. One of the most important hybrid tech events of the year. We've two sets over a hundred guests to remote studios, lots going on. I've got an alumni back with me and a new guest. Please. Welcome back. Sabina. Jo said the GM of technology partners at AWS and Neil Fowler joins her is the GM of micro-focus AMC. And you're going to tell me what AMC stands for >>Application modernization and >>Connectivity. I love it. Awesome guys. It's great. It's great to see you again in person. Thank you for having us. It's great to have the buzz. I know it's gonna be a little bit hard to hear, but great to have. AWS has done a phenomenal job of getting everyone in here safely. I want to give them kudos to that. So being to talk to me with, it's been a while since I've seen you in person, but talk to me about your current role at AWS. What's going on? >>Yeah, so I'm the general manager for technology partnerships globally out of the Americas. We also help partners out of EMEA and APAC grow in the Americas. And one of the great examples of a successful partnership is micro-focus with their solutions across application modernization security, database services, mainframes. >>And so from your perspective, through your lens, how do you think they're performing as a partner? Yes. >>So, um, first of all, kudos to Neil and the entire micro-focus team. They have done a great job leaning in with a cloud first strategy with SAS solutions on AWS and these solutions help customers across application modernization, application, delivery, security, cyber resiliency, database services, and also it performance management. And we've been working with them now for a few years. And in fact, today we have actually 400 customer wins together regulations and then also eight digit annual recurring revenue. They have six active listings in marketplace and all of this is really helping customers move their workloads and modernize their workloads into AWS. >>We've seen that such an acceleration nail in the digital transformation cloud adoption. The pandemic has really been a forcing function for that. There are some silver linings, but talk to me about some of the things that you've seen at micro-focus the last 20 months or so. And how have you helped those 400 customers, you know, getting to that big ARR, how are you helping them with that acceleration? >>Well, I think as you're saying that there's lots of changes in the last 12 to 18 months, some of it brought on by the pandemic and the change in business in business to having to respond, deliver solutions more quickly to the market, as well as remote working. So optimizing and the economic environment of costs, but being there to be more dynamic, it really has caused businesses to have to do something different than just to be able to survive and serve their customers better. That was a >>Big thing that we saw in the very beginning. It was not survival mode. And then of course it wasn't too long when we started seeing those survivors really start to thrive. And you started seeing who were going to be the winners of tomorrow. Cause the thing is every company, these days is a data company. If it's not, it's going to be passed up by competitor, that's right there in the rear view mirror. >>For sure. And so we've got, you know, organizations, so running mainframes, you know, older applications, legacy applications, modernization, where are most industries in terms of adopting that, the mindset, first of all, that they need to change? Well, I think across the whole industry, I mean, it doesn't matter whether it's retail. I mean, if you think about airlines with when the, when the pandemic hit business went down to, unless they've got that elastic nature of flashy to respond to it, but everyone had to bring in new services, new offerings very quickly. So the ability to be able to innovate in their environments and bring more solutions to their customers in a really fast way, you know, they couldn't just sit there and work with what they had. They had to move forward just to be able to stay in the business, but also be able to reduce the costs out of what they're trying to do. So running and transforming at the same time. >>Absolutely. And so how can organizations integrate existing core applications with new technologies to really be able to thrive in today's dynamic market? >>We look at modernization overall. We think of it in sort of three different ways with application process and infrastructure. So with a move to cloud, that's the infrastructure modernization they've immediately got far more access to more scalable dynamic elastic, compute resources, as well as all the technology platforms they have around. And then if you look at the application size and that's where the Microfocus platform comes in, we can help customers actually move those applications forward in terms of making them available through API APIs, maybe as a journey to microservices and cloud native. But once that core business logic and that data is available, it can be integrated into artificial intelligence machine learning and actually rained out the whole solution. So the final part of that from the process modernization, if you, as they're developing these applications with new tools, new ranges, in terms of where they can deploy on the AWS platform, they can automate the build deployment and operations so that all those existing applications and they were running on to contemporary platform with full access to the technologies that were available. >>That's fantastic and so necessary for businesses in any industry. So can you talk about some of the different business units of micro-focus? Are there any ones in particular that you want to call out? >>Yeah, so we work with them across all of their business units, but some of them that come to my mind is of course, Neil and team are doing a great job with application modernization and connectivity, really helping customers modernize the applications. And as customers are modernizing the applications, their cyber resiliency business unit is helping customers secure those applications. And then they also have their it operations management bridge product listed in marketplace. And then just since September are verdict a business unit launch Vertica accelerator on AWS. So I think they have a very holistic story to help customers >>On AWS. Talk to me a little bit, Neil, about cyber resiliency. We have seen such a dramatic change in cybersecurity in the threat landscape the last 20 months. I think I saw a stat recently that ransomware was up almost 11 X in the first half of 2021. Every, every day that companies had had a company, that data is gotta be secure. It's no longer a nice to have. That is a core requirement. How are you helping customers achieve that cyber? >>Well, the thing is, I mean, as you say, across the whole spectrum from cyber, from, from the identity access management through data encryption, through data protection, it's not, it's not a nice to actually say it's not a nice to have Kate take capability. You really have to have an integrated solution to be able to manage access control it, and also generating the events in terms of being able to, if anyone tries to get into the systems and log it because, you know, before, by the time you've discovered something it's too late, so you really need a combined solution for multi-factor authentication to really take it to that next level. >>Absolutely. Right. Once you've detected it, it's too late. And I mean, with ransomware as a service, cyber criminals are getting so much more sophisticated and also more brazen. There's so much money in it that the security front is, is I think even more interesting now than it's ever been. Talk to me about some joint customers and how you've helped them together with AWS with micro-focus achieve some of those key outcomes that you were talking about earlier. Well, I think >>Obviously with AWS as a platform has quite over a technology solutions going in, what we often find with our customers is a lots of, um, they're coming from an existing on-prem solution. So they need that hybrid model. So as part of taking that forward, been able to have that integrated solution that allows them to work both on-prem and as part of the cloud, most of it all being hooked up now, even that from even down to the, uh, as they're developing the applications now to do static code analysis, to help those applications be more secure with things like 40 pound demand, as well as integrating internet security platform for multifactor. So I think as you know, it's a combination of Brunel to bridge between all the different technologies, but have one single view of mail to protect the whole real estate, multiple layers for both external and internal threat. So that's, that's the other thing you also need to take into and can be able to protect all, all layers multi-layered approach. >>Absolutely. But you're right. The internal threats is something that we don't talk about as much, but that is obviously a substantial problem for organizations and most, if not any industries to be, to talk to me a little bit about, let's kind of get into the, the responsibilities that you have a little bit more in there. You've got responsibility for multiple solutions segments at AWS. You told me before we went live, you have 50 meetings this week. My goodness. And since day one, it taught all good. It's fun, fun. It is. Talk to me about AWS approach to partnering. What does it look like? What are some of the things that you think are really critical components? Yeah. >>So as you may have heard, we always start with the, at Amazon and AWS, we start with the customer. We work backwards when we are relaunching our products, our programs or services, you really go and ask the customers, what do you want us to develop? Where do you want us to focus the resources? It takes a lot of discipline to do that, but it's something that where we really want to walk the talk and we use the same approach with our partners when we started to work with micro-focus, we really kind of want to make sure that what we are working on together is what customers want, because we firmly believe that once you lay that foundation of that solution, you can scale your business a lot more quicker. Your story is a lot more simple and the customers are going to find a lot of value in what you are doing together. So it's really all about the customer for us. It is >>Absolutely critical, right? That's the whole point that the whole reason that we're here now, talk to me a little bit about maybe some cultural alignment with AWS, that customer first customer obsession. It sounds like at Microfocus, very similar. >>Absolutely. I mean, the way that we always think about how we're building our products, it's all around customer centric innovation. So that aspect of trying to make sure that we can solve what the business, understanding what the customers are trying to do to then help develop, to deliver solutions that meet that and that combination of a, the way that we look at it from that infrastructure modernization and the range of technologies that are available and that relentless focus on making customer successful is so key. But we have to make sure that that collaboration works together to make sure that the solutions align and we're helping customers get there together >>In your customer conversations. I imagine they've changed quite a bit during the pandemic with so many things being escalated to the C-suite to the board. How have your, how important is that cultural alignment between AWS and Microfocus from your customer's perspective? Is it something that comes up fairly often? Well, >>It's, it's a, I think it, when you actually get a mismatching culture, it's more obvious. So don't think that necessarily people are looking for it to say, I need organizations, but if you're not thinking the same way, you're not behaving the same way and actually partnering. I think that partnering part of it is really important because you're both working together to come up with that desired outcome. So I think it's more, more obvious when it isn't a good match as opposed to what it looking for that particular site. But I think that's a really key aspect in the sense of working together to help that customer be successful. >>Right? That's a great point that you bring up, but it's probably more obvious when it isn't working than when it's beautifully aligned, falling into place and really focused on that customer. So what are some of the things that attendees can, can feel and see and learn at the micro-focus booth at this year's reinvent nail, >>As well as obviously the key Roundup application modernization, where we're looking at the mainframe modernization on the site, we've got the full range of the Microsoft booth in terms of cyber resilience, as well as our, uh, item, my top, uh, it operations management or ADM portfolios. So we've got a lot of technologies which we can learn about in the booth interactive as well as all by experts to understand how we can do all these things and work together as part of the AWS platform to be able to deliver those solutions. >>Excellent. I'm sure there will be plethora of, of knowledge shared at the booth there. Last question, Neil, for you, talk to me about the vision going forward with the partnership. What are some of the things that you're looking forward to as we end 2021 and go into hopefully what is a better year, 2022? >>You know, one of the key things, you know, especially range, no one might, my passionate areas is helping our customers really look in terms of building the platform of the future. We can help solve their customer the problems today, but we're really trying to create that innovation platform to going through. So again, that combination of the technologies that we can bring to help our customers and the breadth and the investment that AWS continue making in the platform, those two combinations really helps us help our customers, not just solve today's problems, who really move into the forward to be the platform for innovation for the next decade. >>And that's really critical that that future ready state that is so undefined most of the time, I mean, none of us saw the pandemic coming, all right. That was a complete shock, but to be able to partner together, to help your customers really set up the foundation to be innovative as things happen that we can't even predict is really critical. So congratulations on your 400 customer wins your eight digit ARR. That's fantastic. Yes, we thank you so much for joining us on the queue, talking about the Microfocus AWS partnership and all of the successes that you guys have had. Great job. And I hope that you have cough drops and a lot of water this week. Sabina. I hope you do too guys. Thanks for joining me. Pleasure for my is I'm Lisa Martin. You're watching the cube, the global leader in live tech coverage.

>>Hello and welcome back to the cube in person at an event AWS reinvent 2021. We're here live with two sets. Also virtual we've watched the cube on the site. Virtual sits a hybrid event. I'm John for your host of the cube. We're here for three days. Wall-to-wall covered chicken off day one. All about software. ISV is also the value of the cloud. We've got two great guests, John Grosse and senior vice president, chief revenue officer Prisma, cloud of Palo Alto networks. Welcome to the cube. >>Thank you for having me excited to be here. >>Three to Joseph's general manager technology partners from AWS. Thanks for coming on again. Good to see you. So obviously the story here at re-invent is Adam Lesley, new CEO taking over Andy Jassy, uh, tomorrow's a big keynote. We're expecting to hear that the cloud is kind of going next gen. The next gen cloud is here. It's about applications, modern applications and true infrastructure as code security is code data as code essentially, applications are now the number one priority. This is a big thing. This is part of the movement of the cloud. So I got to get your guys' perspectives. Where are we in that movement? What are customers doing as they migrate to the cloud? It's not just lift and shift. They're like, okay, I got to rearchitect my business. Big things are happening. What do you guys see? >>Well, I think there's a couple of big drivers at the highest level, right? Some customers are thinking about migrating their it estate to the cloud. They want to take cost out. They want to drive agility. They want to drive a better user experience and you have other customers that want to innovate, right? They want to drive innovation that leverage the cloud for innovation and increase their speed of execution. And as they look at that opportunity, they're having to rethink dev ops and which is making them also think more about DevSecOps and how are they going to accelerate that cloud application life cycle so they can take advantage of microservices. And in addition to that, as we look back on the last two years, as we were talking about before we came on the air and this unfortunate pandemic era that will maybe refer to it, as many customers have been thinking about their supply chains, you know, what am I going to do with my supply chain? How do I really take problems out of that supply chain? So I can continue to serve my customers in my markets. And it's also made them think about different ways to approach their customers. How do they reach their customers? And then how do they fulfill bill and continue to nurture those customer relationships? So I think it goes to the big drivers >>And the, and the security aspect is so huge. You guys have Palo Alto networks? No, that's just give us a perspective and reaction to that. As people digitize their business, you get security built in from day one. This is the number one thing we talk about on the cube bit, baking it in from day one, whether they say shifting left, whatever sure. It's your business, you're now digital. Yeah. >>What are the things that we think we bring to CEO's and CIS is into boards is really three different ways to get started with cloud native security. With Prisma cloud, you can start at the simplest of terms with posture management. I just want to inventory my assets and know what I have out there and make sure those are secure. I want to be compliant. We want to deliver on compliance and governance for my board, my leadership team, others are thinking about workload protection, Kubernetes, serverless containers. What am I going to do with those critical workloads that I'm now moving to the cloud? And then to your point, big push area is shifting security left. I've got to build security in right from the start of that application development life cycle change the way I think about CIC D and delivering those applications securely in the cloud and doing a fast now time to market on applications is critical for customers. And they've got to think about building security. And so they don't have to rework those apps and build security and later. >>So let's talk about what you guys have been doing with customers during the pandemic and how they're going to come out of it with a growth strategy. We had some great talks on our cube program around how the software development life cycle is changing, how modern applications are being built. And I'll see Amazon, you guys enable people to make money on top of Amazon because you make money too. But how are you guys helping customers? What's the big thing that come out of the pandemic. >>Yeah, so, well, the pandemic has been unfortunate for all of humanity, but through this, we have really seen customers accelerating their journey into AWS and security is top of mind for them as customers continue to digitize their software, they are really looking for solutions from Palo Alto networks on AWS. And what they're looking for is something very simple and cost-effective which Palo Alto has provided because of our long-term partnership. And as John mentioned, right due to the pandemic and many other factors around it, there have been many constraints placed on the supply chain, but the economies of scale with AWS has really helped partners and customers address many of these constraints. So we have seen a tremendous movement into AWS the last 20 months. >>And how, how has the partnership for Palo Alto networks been for you guys? Because I wrote in my article, I just posted last night around the preview of this event in my interview that has Leschi is that cloud is enabling the partners Amazon's cloud is enabling partners to do more than be a point solution. And that we're talking about a platform, not tools. I mean, this tools tools are great, but this notion of super clouds are developing where partners are leveraging more than just hosting, right? >>What's your partnerships always start and end with customers. So one of the things we're most excited about from a first of a cloud perspective is we now have over 800 calmly customers that are utilizing Prisma cloud is secure workloads and to secure their security posture management and shift security left using Prisma cloud on AWS. And the other, a couple of big ingredients that we've had together is really multi-dimensional partnership that makes that all possible, right? We're an advanced technology partner. We have a number of programs that we run together, and we've also been a part of a handful of product launches and innovation launches that we're super excited about, like what we've done with guard duty, like what we've also done with auto provisioning using control tower. So multi-dimensional partnership, which is always the best we think starts with customers. And then from there, what we've done is we've taken a really intentional programmatic approach as we think about innovation programs and go to market together. Yeah. >>Follow up on the, you know, mind, you guys have been very successful at Palo Alto networks as your customer base, the more, more sophisticated and smarter around cloud, you got to add more value and be responsive. What is the big trend in your customer base? You see with cloud? Are they obviously keeping stuff on, on premises for certain things, obviously security reasons, but also data's got to open up. So now you have a more of a bigger data aperture. >>Absolutely. Absolutely. And what's happening is what should happen, which is customers are asking us to do more and innovate faster. And so, you know, we're really excited about our recent launch at Prisma cloud 3.0 where it really expanded the platform. Uh, we're now bringing an adoption adviser, which is going to simplify the experience for our mutual customers so that they can more readily adopt CSPs CWPP and extend their utilization of the platform. At the same time, we've made a number of announcements about adding more value into our infrastructure as code approach, you know, shifting security left. So very excited about that. And, and so I think that, you know, what we're finding is that we're needing to listen to customers and quickly build and deliver, uh, innovation in the cloud is they're all trying to your point new use cases and stretching their needs for cloud security. >>I got to say one of my observations of the past two and a half years, even coming into the pandemic was security clearly being baked in from the beginning, but the pandemic really exposed those who were ready for it. Yeah. And that, and that's a big point. And now it's like dev sec ops, no one argues about it anymore. Right. It is what it is. Right. That's a huge difference from just five years ago. >>Absolutely true. Absolutely true. And now, you know, as you're seeing, you know, partnering with AWS customers are delivering actually their end product in the cloud. Right. And that is the most critical relationship is their customer's customer. And they've got to make sure that it absolutely is a secure user experience because now we're talking about customers, identity payment information, we're talking about critical customer relationship management now all in the cloud. And it has to be secured end to end. So very exciting opportunities. >>I mean, uh, you're under a lot of pressure. Now you have a lot of these big partners doing big business. They have big customers. I know they do. Palo Alto has a lot of great customers. How do you support them? What are you guys doing to continue to nurture and support your customers? >>Yeah. Customers is the key word there, John. So we provide value to Palo Alto and other partners to a number of different ways. But one approach that we take is called a well-architected review. It's a process which looks at the software solutions through pillars of security, reliability, performance, cost optimization, and operational excellence. And the reason for that is we want to make sure that the foundation for customers is laid in the best way possible. Because once you have that foundation laid, you can really, really build and scale your business. And so that is one of the ways we continue to provide value and Palo Alto we've taken the well-architected review through all of their solutions, bought the ones existing and the ones in the future. >>I got to say, I've noticed you guys have been using the word primitives a lot. Now it's foundational services. Um, because what we're talking about here is foundation. And a lot of the trends we're seeing from your customers, both is they want to refactor their business value in the cloud, the modern application trend, isn't just apps is about business model innovation in the software itself. So it's asking the infrastructure to be code, ask you to be programmable security with automation, all that AI, this is a trend. Do you guys agree with that? Yeah, >>I absolutely. I do. And I think what you're seeing now from customer's point of view is they need to build security into that application lifecycle mental model. They have to have an end-to-end vision of how they're going to deliver those, those applications at speed and do it, you know, utilizing cloud native architecture so that they can have microservices that deliver value in they're more flexible. And that's part of the power. I think of AWS and Palo Alto networks. First of all, cloud is we're enabling customers to innovate at speed shift left with security, build security into those apps, take rework out, deliver applications faster, which obviously drives more value to them. >>Yeah. I'd love to get your thoughts on something, John, if you don't mind, while you're here, we were talking about for reinvented around major inflection points and every major inflection point in the history of the tech industry, whenever there's a change of how people develop applications, speed and performance was super important. Critical. How do you guys see that? Cause you guys are on the front lines with security performance matters. Now whether it's in the cloud or in transit, what's your >>Absolutely absolutely. You know, it was really interesting in customer conversations. Even some of the customer conversations I've had today, every customer now starts a conversation with some element of cloud security, security, posture management, workload protection, identity data, but they all are coming back now to shifting left with security. It's part of every single conversation. Yes. I was primarily leaders into posture management. Oh, by the way, absolutely got to dive into how I'm going to shift left and build security in. And so that speed of development now I think is going to be a key competitive differentiator for customers. They're going to have to become experts at delivering on that entire application pipeline. >>But your reaction to that speeds and feeds >>Well, it is, I believe it's really important. And um, we're trying to do everything that we can help partners like Palo Alto network with our processes. And most importantly, scaling the business, which I'm sure we'll talk about shortly, how we work together to really get those 800 customers >>Talking about that. Cause you have the advanced technology partnership program. Talk about what you guys do there. >>Yeah. So first of all, I want to thank John and the entire Palo Alto team for building such an excellent partnership across build co-sale and co-market. And as an advanced technology partner, Palo Alto is part of four different competencies, security containers, DevOps networking. And the reason why these competencies are so crucial is because you're able to list your validated solutions with public customer references by use case in each of these competencies, which I think John, you would agree enables them, asked to do focus, demand generation activities through dev days, blog posts, webinars, account mapping, which of course generates those opportunities together. And Palo Alto is also part of our ISB accelerate program. So our sales team is in incented in order to work with Palo Alto and help them close opportunities. And then also you are on AWS marketplace, which enables you to do free trials and enabling you to really scale across the globe. And then we are also helping Palo Alto across the globe with resources, including public sector to help them scale their business. >>The whole selling thing is interesting as the chief revenue officer, it's like, oh yeah, I love that. Um, this is a big deal. Talk about that further. I know the marketplace is where people are buying, but it's a joint sales, Amazon salespeople sell for you, right? >>Cosa, we call it co-sale whereby we can share opportunities with each other. And when we do share those opportunities, the sales teams are engaging together to understand, Hey, what's going on at the customer? What are the pain points? What are the use cases, value proposition, and then going in together to the customer to win the deal. And then continuing that relationship beyond to continue to grow net new revenue, >>Not too shabby, is it, oh yeah. Get more feet on the street. So to speak and virtual, >>There you go. It works on both dimensions and to all the points you made. I mean, we have some terrific mechanisms we use together, you know, like immersion days, dev days where we're able to work with customers, deliver well-architected visions for our customers together. And when we were both designed in, it's obviously a great, it's a great win for the customer enables us to scale. >>I think it's a cutting and not everyone gets these services to, you have to be a certain lay level to get the joint selling. >>That is correct. That's an advanced technology partner and also as part of ISB accelerate, which is our very focused Cosell program. Awesome. >>Well, thanks so much for coming on the cube. Really appreciate. Congratulations on a great partnership. Uh, two great brands. Congratulations, final minute. Just what's your expectation. As we come out of this pandemic, what do you see customers doing? What's the one thing that all customers are preparing for coming out of the pandemic? What do you guys see? >>Well, I think now customers are preparing for acceleration in all of their routes to market. Right now they're having to anticipate their return to some of the normal routes to market that they've for some time now have been trying to reinvent around and trying to drive primarily digital, go to market. Now I think we're going to see growth on every dimension with our customers, because they're going to need to return to some kind of normal with their supply chains, delivering through brick and mortar and their traditional delivery models on top of driving hyper growth that they're already enjoying through their digital go-to-market. >>That's great insight. So, you know, your, your thoughts on companies coming out of the pandemic, looking for a growth strategy, what's the, >>Well, I think they're going to prepare in order to address this pandemic in the future, Some calamity of some way. Right. But I do think that what I'm observing personally, especially segments that have been slower to adopt because they wanted evidence. The pandemic has really increased that whether that's vaccine research or treatment research, it has really accelerated that. So I agree with John B going to >>See it all across the board. I mean, one thing I'd say just support those two awesome insights is that the pandemic expose what works and what doesn't work. Right. You can't hide the ball anymore. You know, if, if software's being used, it's successful. If not, as self-aware right. You can't hide the ball cloud. If it's not working, you know what right away. Yeah. Thanks so much for coming on the Cape. Really appreciate it. Thank you very much. Okay. Cube coverage here at reinvent live 2021. I'm John for your host of the cube. Stay with us wall to wall coverage for the next four days here in the queue.

(upbeat music) >> Announcer: From around the globe. It's theCUBE, with digital coverage of AWS reinvent 2020, sponsored by Intel, AWS and our community partners. >> Welcome to theCUBE's coverage of AWS reinvent 2020, the virtual edition. I'm Lisa Martin. I have a couple of guests joining me next to talk about AWS and Druva. From Druva, Chris White is here, the chief revenue officer. Hey Chris, nice to have you on the program. >> Excellent, thanks Lisa. Excited to be here. >> And from AWS Sabina Joseph joins us. She is the general manager of the Americas technology partners. Sabina, welcome. >> Thank you, Lisa. >> So looking forward to talking to you guys unfortunately, we can't be together in a very loud space in Las Vegas, so this will have to do but I'm excited to be able to talk to you guys today. So Chris, we're going to start with you, Druva and AWS have a longstanding partnership. Talk to us about that and some of the evolution that's going on there. >> Absolutely, yeah. we certainly have, we had a great long-term partnership. I'm excited to talk to everybody about it today and be here with Sabina and you Lisa as well. So, we actually re architect our entire environment on AWS, 100% on AWS back in 2013. That enables us to not only innovate back in 2013, but continue to innovate today and in the future, right. It gives us flexibility on a 100% platform to bring that to our customers, to our partners, and to the market out there, right? In doing so, we're delivering on data protection, disaster recovery, e-discovery, and ransomware protection, right? All of that's being leveraged on the AWS platform as I said, and that allows uniqueness from a standpoint of resiliency, protection, flexibility, and really future-proofing the environment, not only today, but in the future. And over this time AWS has been an outstanding partner for Druva. >> Excellent Chris, thank you. Sabina, you lead the America's technology partners as we mentioned, Druva is an AWS advanced technology partner. Talk to us from through AWS lens on the Druva AWS partnership and from your perspective as well. >> Sure, Lisa. So I've had the privilege of working with Druva since 2014 and it has been an amazing journey over the last six and a half years. You know, overall, when we work with partners on technical solutions, we have to talk in a better architect, their solution for AWS, but also take their feedback on our features and capabilities that our mutual customers want to see. So for example, Druva has actually provided feedback to AWS on performance, usability, enhancements, security, posture and suggestions on additional features and functionality that we could have on AWS snowball edge, AWS dynamoDB and other services in fact. And in the same way, we provide feedback to Druva, we provide recommendations and it really is a unique process of exposing our partners to AWS best practices. When customers use Druva, they are benefiting from the AWS recommended best practices for data durability, security and compliance. And our engineering teams work very closely together. We collaborate, we have regular meetings, and that really sets the foundation for a very strong solution for our mutual customers. >> So it sounds very symbiotic. And as you talked about that engineering collaboration and the collaboration across all levels. So now let's talk about some of the things that you're helping customers to do as we are all navigating a very different environment this year. Chris, talk to us about how Druva is helping customers navigate some of those big challenges you talked about ransomware for example, this massive pivot to remote workforce. Chris (mumbles) got going on there. >> Yeah, absolutely. So the, one of the things that we've seen consistently, right, it's been customers are looking for simplicity. Customers are looking for cost-effective solutions, and then you couple that with the ability to do that all on a single platform, that's what the combination of Druva and AWS does together, right? And as you mentioned, Lisa, you've got work from home. That's increased right with the unfortunate events going across the globe over the last almost 12 months now, nine months now. Increased ransomware that threats, right? The bad actors tend to take advantage of these situations unfortunately, and you've got to be working with partners like AWS like Druva, coming together, to build that barrier against the bad actors out there. So, right. We've got double layer of protection based on the partnership with AWS. And then if you look at the rising concerns around governance, right? The complexity of government, if you look at Japan adding some increased complexity to governance, you look at what's going on across, but across the globe across the pond with GDPR, number of different areas around compliance and governance that allows us to better report upon that. We built the right solution to support the migration of these customers. And everything I just talked about is just accelerated the need for folks to migrate to the cloud, migrate to AWS, migrate to leveraging, through the solutions. And there's no better time to partner with Druva and AWS, just because of that. >> Something we're all talking about. And every key segment we're doing, this acceleration of digital transformation and customers really having to make quick decisions and pivot their businesses over and over again to get from survival to thriving mode. Sabina talk to us about how Druva and AWS align on key customer use cases especially in these turbulent times. >> Yeah, so, for us as you said Lisa, right. When we start working with partners, we really focus on making sure that we are aligned on those customer use cases. And from the very first discussions, we want to ensure that feedback mechanisms are in place to help us understand and improve the services and the solutions. Chris has, he mentioned migrations, right? And we have customers who are migrating their applications to AWS and really want to move the data into the cloud. And you know what? This is not a simple problem because there's large amounts of data. And the customer has limited bandwidth Druva of course as they have always been, is an early adopter of AWS snowball edge and has worked closely with us to provide a solution where customers can just order a snowball edge directly from AWS. It gets shipped to them, they turn it on, they connect it to the network, and just start backing up their data to the snowball edge. And then once they are done, they can just pack it up, ship it back. And then all of this data gets loaded into the Druva solution on AWS. And then you also, those customers who are running applications locally on AWS Outposts, Druva was once again, an early adopter. In fact, last reinvent, they actually tested out AWS Outposts and they were one of the first launch partners. Once again, further expanding the data protection options they provide to our mutual customers. >> Well, as that landscape changes so dramatically it's imperative that customers have data center workloads, AWS workloads, cloud workloads, endpoints, protected especially as people scattered, right, in the last few months. And also, as we talked about the ransomware rise, Chris, I saw on Druva's website, one ransomware attack every 11 seconds. And so, now you've got to be able to help customers recover and have that resiliency, right. Cause it's not about, are we going to get hit? It's a matter of when, how does Druva help facilitate that resiliency? >> Yeah, now that's a great point Lisa. and as you look at our joint customer base, we've got thousands of joint customers together and we continue to see positive business impact because of that. And it's to your point, it's not if it's when you get hit and it's ultimately you've got to be prepared to recover in order to do that. And based on the security levels that we jointly have, based on our architecture and also the benefits of the architecture within AWS, we've got a double layer of defense up there that most companies just can't offer today. So, if we look at that from an example standpoint, right, transitioning offer specific use case of ransomware but really look at a cast media companies, right? One of the largest media companies out there across the globe, 400 radio stations, 800 TV stations, over a hundred thousand podcasts, over 4,000 or 5,000 streams happening on an annual basis, very active and candidly very public, which freaks the target. They really came to us for three key things, right? And they looked for reduced complexity, really reducing their workload internally from a backup and recovery standpoint, really to simplify that backup environment. And they started with Druva, really focused on the end points. How do we protect and manage the end points from a data protection standpoint, ultimately, the cost savings that they saw, the efficiency they saw, they ended up moving on and doing key workloads, right? So data protection, data center workloads that they were backing up and protecting. This all came from a great partnership and relationship from AWS as well. And as we continued to simplify that environment, it allowed them to expand their partnership with AWS. So not only was it a win for the customer, we helped solve those business problems for them. Ultimately, they got a (mumbles) benefit from both Druva and AWS and that partnership. So, we continue to see that partnership accelerate and evolve to go really look at the entire platform and where we can help them, in addition to AWS services that they're offering. >> And that was... It sounds like them going to cloud data production, was that an acceleration of their cloud strategy that they then had to accelerate even further during the last nine months, Chris? >> Yeah, well, the good news for cast is that at least from a backup and recovery standpoint, they've been ahead of the curve, right? They were one of those customers that was proactive, in driving on their cloud journey, and proactive and driving beyond the work from home. It did change the dynamics on how they work and how they act from a work from home standpoint, but they were already set up. So then they didn't really skip a beat as they continue to drive that. But overall, to your point, Lisa, we've seen an increase and acceleration and companies really moving towards the cloud, right. Which is why that migration strategy, joint migration strategy, that Sabina talked about is so important because it really has accelerated. And in some companies, this has become the safety net for them, in some ways their DR Strategy, to shift to the cloud, that maybe they weren't looking to do until maybe 2022 or 2023, it's all been accelerated. >> Everything's, but we have like whiplash on the acceleration going on. >> Sabina, talk to us about some of those joint successes through AWS's lens, a couple of customers, you're going to talk about the University of Manchester, and the Queensland Brain Institute, dig into those for us. >> Yeah, absolutely. So, I thank Chris sharing those stories there. So the two that kind of come into my mind is a University of Manchester. They have nearly 7,000 academic staff and researchers and they're, part of their digital transformation strategy was adopting VMware cloud on AWS. And the University actually chose Druva, to back up 160 plus virtual machine images, because Druva provided a simple and secure cloud-based backup solution. And in fact, saved them 50% of their data protection costs. Another one is Queensland Brain Institute, which has over 400 researchers who really worked on brain diseases and really finding therapeutic solutions for these brain diseases. As you can imagine, this research generates terabytes critical data that they not only needed protected, but they also wanted to collaborate and get access to this data continuously. They chose Druva and now using Druva solution, they can back up over 1200 plus research papers, residing on their devices, providing global and also reliable access 24 by seven. And I do want to mention, Lisa, right? The pandemic has changed all of humanity as we know it, right? Until we can all find a solution to this. And we've also together had to work to adjust what can we do to work effectively together? We've actually together with Druva shifted all of our day-to-day activities, 200% virtual. And we, but despite all of that, we've maintained regular cadence for our review business and technical roadmap updates and other regular activities. And if I may mention this, right, last month we AWS actually launched the digital workplace competency, clearly enabling customers to find specialized solutions around remote work and secure remote work and Druva, even though we are all in this virtual environment today, Druva was one of the launch partners for this competency. And it was a great fit given the solution that they have to enable the remote work environments securely, and also providing an end-to-end digital workplace in the cloud. >> That's absolutely critical because that's been one of the biggest challenges I think that we've all been through as well as, you know trying to go, do I live at work or do I work from home? I'm not sure some of the days, but being able to have that continuity and you know, your customers being able to access their data at 24 by seven, as you said, because there's no point in mapping up your data, if you can't recover it but being able to allow the continuation of the relationship that you have. I want to move on now to some of the announcements. Chris, you mentioned actually Sabina you did, when you were talking about the University of Manchester, the VMware ready certification Chris, Druva just announced a couple of things there. Talk to us about that. >> Thank you. Yeah, Lisa you're right. There's been a ton of great announcements over the past several months and throughout this entire fiscal year. To be in this touch base on a couple of them around the AWS digital workplace, we absolutely have certification on AWS around VMware cloud, both on AWS and Dell EMC, through AWS. In addition to continuing to drive innovation because of this unique partnership around powerful security encryption and overall security benefits across the board. So that includes AWS gov cloud. That includes HIPAA compliance, includes FedRAMP, as well as SOC two type two, certifications as well and protection there. So we're going to continue to drive that innovation. We just recently announced as well that we now have data protection for Kubernetes, 100% cloud offering, right? One of the most active and growing workloads around data, around orchestration platform, right? So, doing that with AWS, some of my opening comments back when we built this 100% AWS, that allows us to continue to innovate and be nimble and meet the needs of customers. So whether that be VMware workloads NAS workloads, new workloads, like Kubernetes we're always going to be well positioned to address those, not only over time, but on the front end. And as these emerging technologies come out the nimbleness of our joint partnership just continues to be demonstrated there. >> And Sabina, I know that AWS has a working backwards approach. Talk to me about how you use that to accomplish all of the things that Chris and you both described over the last six, seven plus years. >> Yes, so the working backwards process we use it internally when we build our own services, but we also worked through it with our partners, right? It's about putting the customers first, aligning on those use cases. And it all goes back to our Amazon leadership principle on customer obsession, focusing on the customer experience, making sure that we have mechanisms in place, to have feedback from the customers and operate that into our services solutions and also with our partners. Well, one of the nice things about Druva since I've been working with them since 2014 is their focus on customer obsession. Through this process, we've developed great relationship, Druva, together with our service team, building solutions that deliver value by providing a full Saas service for customers, who want to protect their data, not only in AWS, but also in a hybrid architecture model on premises. And this is really critical to us cause our customers want us to work with Druva, to solve the pain points, creating a completely maybe a new customer experience, right. That makes them happy. And ultimately what we have found together with Druva, is I think Chris would agree with this, is that when we focus on our mutual customers, it leads to a very longterm successful partnership as we have today with Druva. >> It sounds like you talked about that feedback loop in the beginning from customers, but it sounds like that's really intertwined the entire relationship. And certainly from what you guys described in terms of the evolution, the customer successes, and all of the things that have been announced recently, a lot of stuff going on. So we'll let you guys get back to work. We appreciate your time, Chris. Thank you for joining me today. For Chris white and Sabina Joseph, I'm Lisa Martin and you're watching theCUBE. (soft music fades)

>> Announcer: From around the globe, it's theCUBE with digital coverage of AWS re:Invent 2020, sponsored by Intel, AWS and our community partners. >> Hello everyone, this is Dave Vellante and welcome to theCUBES Wall-To-Wall coverage of AWS re:Invent 2020 virtual reinvented our coverage over three weeks over cloud. We're looking into the next decade of innovation. And with me are two great guests, Chris Wiborg is the Vice President of Product Marketing at Cohesity and Sabina Joseph is the General Manager for Americas Technology for Partners AWS. Folks, thanks for coming to theCUBE. Great to see you. >> Great to be here today. Thanks for having us. >> You're very welcome. It's great to see you and Chris, before we get into the partnership, I want to ask kind of what you've seen in the market, with the increased focus on data, digital business, obviously the last nine months, people have really shifted their priorities. How have you seen customers responding? >> Yeah, it's sort of strange to say this at a time. It's really hard for all of us dealing with a global pandemic, but the market has picked up in many ways and perhaps that's not surprising given a lot of folks have started to shift things to more virtual way of working and the data hasn't slowed down. And so with that we've also seen a little bit of a shift and this is part of the reason behind the announcement we're making of trying to accelerate for many organizations projects that had originally been planned to put in a data center to moving more towards the cloud. Part of this as a CapEx to OpEX shift. But I think it also in some cases all is under this umbrella of digital transformation, where they're trying to accelerate new ways of doing things while in some cases, people can't even get into data centers in some cases anymore. And so how can you do that more remotely? How can you go to a model to loot more Self-Help? And all that leads up to part of what we're going to be talking about today. So the market has been very busy because again, data growth hasn't slowed down. I think the one thing that I'd add to that is you'd see an uptake in terms of focus and interest in some of the things that we do because of all the ransomware attacks that are out there. That's another piece of it. >> I want to get into the announcement as well, but I mean, you're right, Chris, it's a very hexy, it's tough as it is for the climate. It's a good time to be in tech. It's even better if you're in cloud. So Sabina, I wonder if you'd had... I think you must have a lot of people in the ecosystem really wanting to work with you. >> We do, I think with the proliferation of data. And data across many different silos I think the key is, how do we provide customers more value from this data, that way they can make it optimal for their business. So, yes, we do have a lot of different partners wanting to work. >> Okay, so we're all busy. I feel like we've never worked so hard in our lives, but so Cohesity and AWS, you've announced a strategic collaboration. Tell me more about it. Why did you choose to collaborate together Chris, other than AWS is the number one cloud platform. What were some of the other factors that we should be focused on? >> I think it's the Sabina, please do chime in here as well. I think the big portion of it, Dave has to do with this shared vision that we have around. Really what we believe is the next chapter in data management. And so how do we make it simple for organizations to not only protect and secure and manage their data, but also get more value out of it and derive more value from that data, which is kind of what Sabina was hinting at. And a lot of the reasons that we think this is such a good match, given all the varying services Amazon has, that you can build off, given what Cohesity does. So Sabina, I know you going to start with customers. You always interviewed enough Amazon, and it was only us to know that's really the starting point, the prison from which you looked, but so from that prison, from your perspective, what's the collaboration? Why the collaboration? What does it bring for customers? >> So, you know, I've the saying here. I think there was a lot of alignment, both in terms of culture and working backwards from customers, customers session. And really kind of understand, what can we do right into the Intelligent Data Management Solution to enterprise and mid-sized customers and provide simplicity, flexibility, and reduced total cost of ownership. And that's where Cohesity and AWS, we really shared that vision. I would say over the last couple of years, Cohesity of course, has been a partner of AWS for quite some time now. And then when we started to talk to each other, we understood that these were some of the things we wanted to not just address, but also provide an opportunity for customers. So that's why we collaborated in this unique way to bring forward a Data Management as a service solution for our customers. >> All right, Chris, I really want to dig into this a little bit more because I've talked to a number of CEOs that have said, boy, our business resilience strategy was way to focused on DRA maybe too much focus on backup. We're now a digital business, because every business, so you're out of business, if you're not a digital business overnight. And so this notion of data management and data management as a service, what problems are you really focused on solving there? >> I think two things, Dave and let's go back to a Cohesity after solving as a company. And that's the problem with what we call mass data fragmentation, where you have data stored in many different locations, prem, cloud, edge, et cetera, typically in many different pieces of infrastructure. So there's a lot of silos going on there, and it's really hard to get your hands around the entirety of what you have. And first of all, make sure it is protected. And there's some compliance implications to that and so on. And then also again, how can you not only protected, but do more with it and get better transparency and more value out of that data that today might be dark, might be opaque because a, do you know where it is? And b, even if you do, what more can you do with it? And so that's kind of the first problem we're setting out to solve. And why as we look at moving to doing what we're doing with AWS, providing an alternate consumption option is also really important, we think. So some people have staff and skills to roll their own, to do their selves and cohesively we'll continue to support those customers, obviously, as we do today. But what we also want to provide a new option for those that want to make that shift from CapEx to OpEX, and more from a management of their environment doing it themselves to having somebody else manage it for them, and really reducing that cost and overhead associated with running your own data center effectively. And so bringing valuable Cohesity leaders to the cloud is the second piece of that, where we want to make sure we carry that bigger vision along where we're not just doing one thing, we're doing multiple things. And so Data Management in our sense is not just about backup, although that's the first thing you'll see. We're also going to tackle that dr problem, you raised as well. If you look closely a couple of weeks ago, we made an announcement around what we're doing with a product we call Site Continuity on the on-prem world, guess what that's going to come real soon to AWS. And then beyond that files and objects, test data management and as we'll get to a little bit later more when we start leveraging the value and the power of some of the advanced services, AWS hasn't been to the table for things like compliance and so on. >> Great, thank you for that. And so Sabina, I mean, we run on AWS, we're small, but still we go into the console and there's this buffet of services and we have a lot of options. So, I wonder if you could talk about customer choice, your philosophy around that, why that's important, how you're providing different deployment models. And the example I would use is why is backup as a service? Not enough, why do we need to go beyond that? >> First of all, thank you very much for being our customer. >> Welcome. >> And I think the key behind this solution that Cohesity is building on top of AWS is to really provide one platform and one user interface. Yes, backup as a service is the first service that we will start with and we are starting with, but I think we all realize that customers do many different things, but get data. They do disaster recovery, they have file services, Dev and test, and then the value add services, which we'll talk about in a bit around analytics compliance, machine learning and so on. So those are all the different value, at least we want to provide the date with that data. In addition of course, backup as a service disaster recovery, as a service file services and so on. Well the backup services comprehensive that we are launching with and provide some rich protection across all of this data, but at the end of the day, it's customer's choice whether they want to manage your own data and infrastructure or Cohesity kind of manage this across the infrastructure for them both in a hybrid model and in a cloud model. And we have many customers kind of wanting to look at both options because they had both environments. I don't know Chris, if you want to talk about Dolby a little bit, but I can certainly get into it. I don't know if you want to get a little bit into Dolby and how they're using it. >> Yeah, that's a great example, actually Sabina. So, I think Dave, Sabina is suggesting, one of our early design partners on this was Dolby and they're an existing Cohesity customer. Today they're very happy what we're doing on-prem. And so I asked them why would you be interested in managing data also in the cloud? And his answer was, well, "look for me, it's really all about the self-help option. "I have a lot of clients, I do well centrality, "I have a lot of clients in my organization, "but I want to point to do their own thing "and not have to directly manage them. "This is going to be the perfect option for them. "They can just go sign up, connect and protect "to get started. All right, Step one." >> I talked to another customer who commented well in this sort of hybrid configuration that Sabina suggests the stuff that they have on-prem today. They'll probably protect on-prem, but workloads like let's say Microsoft 365, mailboxes or something like that, it's in the cloud. Why would they back haul that into their data center? Why not just protect it there in the cloud itself? It just seems to make sense. And then we also have customers we're talking to that, there are large distributed organizations where maybe the stuff that's in the branch office, the remote office, they want to backup to the cloud because of land back, haul costs and so on. It's easier to do it that way. And then the central stuff is still central. So we going to give as Sabina said, customers that choice. You can do cloud only if you want to, you can do prem only with us, or you can do both. And we expect a lot of customers loaded up in a third bucket and that sort of hybrid scenario and let them choose why they do it and use that combination. The great thing is when you go to Cohesity Helio's, that's going to be the control center, if you will, for both things on-prem and also in this new DevOps offering in cloud. So one experience from a manageability standpoint, that's just the only thing I'd add to Sabina's answer about what's great about this and why you want to do more than just one thing. Well, if you sort of solve this problem of infrastructure silos and in your traditional data center, and now you're bringing in the cloud, why we create silos and best of breed things all over again, don't you want to consolidate some of that for ease of use and lower cost of ownership as well. And so that's one of the things we think we're going to bring to the table. It's pretty unique versus letting customers pick and choose, five or 10 different solutions and trying to merge those together. We think we've got a better way. >> Got it. So then let's come back to some of the comments you were making about added value. So what the customers really do with data, with data management as a service and AWS that maybe they couldn't do before. >> So the way I look at it, Cohesity and AWS are custodians of this data, on behalf of the customer, ultimately it is their data, but we want to unlock the value from this data versus having it being in different silos, different locations and so on. So the vision that we have, which we are on the road right now, in terms of unlocking this data is to really add additional services, maybe compliance as a service, analytics as a service, machine learning as a service. So let's just kind of walk through these three things, So if you think about compliance as a service, using Amazon Macie, which uses machine learning to really kind of discover, classify and protect sensitive data. And if you think about analytics as a service, using AWS Glue to run ETL on this data, Amazon Athena to run sequel queries and then potentially create data warehouse using Amazon Redshift. Then if you really start thinking about other machine learning services, right across the AWS machine learning stack, if you look at it at a high level, customers could use Amazon text tracks, Amazon transcribe to extract value from the Metadata to allow deeper business specific content that they need for their different solutions they have to end customers. For example, another logical use case could be Amazon comprehend medical using that to kind of distract extract medical information from this data. And then finally customers can also use Amazon SageMaker to build advanced machine learning models, to really start deriving even additional value and gain business insights from this data. So those are kind of the things we have in our mind, in terms of compliance to service, machine learning as the service, analytics as a service. And then of course, I want to bring in Chris here to talk a little bit about what they plan to do with their MarketPlace, the Cohesity Marketplace. >> Yeah, no, I think, it's a great Sabina. So we've always had this concept at Cohesity, Dave, of being able to do more with your data. And you've seen express so far in our marketplace, which is still going to be there. We just think plugging some of the additional services that Sabina mentioned. When you have a center of gravity for your data in the cloud is going to make that concept even more powerful. And so day one, when we GA just right now, actually during re:Invent you going to be able to do it yourself. You'll have data backed up into the cloud. For example, you can apply those services if you have the skill to do that. But over time, working in conjunction with Amazon, the goal is to be able to make those services something that you would just go in again to Helios and say, for example, turn on the compliance service. And behind the scenes we're invoking and it was on Macie doing all right thing with all the data under management like Cohesity already. And so you just get them to report back out if that's what you're aiming to do. And so we going to try and make this as simple and easy to use as possible, leveraging the power of all the great things that Amazon has does through the API that they have combined with what we do in an engineering effort that we'll be driving with our guidance, to really give a great value, add customers far beyond the insurance policy you get with backup and being able to do more with that data and add value to your organization. >> And that's okay. So you've announced at re:Invent GA of Cohesity dataprotect how should customers think about getting started? >> Well, they can get started today, since we're an LGA I just go to www.queasy.com and I have the ability to go ahead there and actually join in on a free trial and to get started. And if they decided to convert them, then they can go from there. So risk-free gone in, check it out. We welcome feedback as always from our customers and then stay tuned because right around the corner after we're done with one offer as part of the bigger DevOps umbrella, you'll see disaster recovery and additional services, really the whole value of the Cohesity platform over time delivered through AWS. >> As a service bring it on guys, Sabina and Chris, thanks so much, really appreciate you coming on and thank you for watching everyone. Keep it right there with digging deep into AWS and the re:Invent ecosystem. You're watching theCUBE. (upbeat music)

>>Hello. My name is Isaac twang and I am on the faculty at MIT in electrical engineering and computer science and in physics. And it is a pleasure for me to be presenting at today's NTT research symposium of 2020 to share a little bit with you about programmable quantum simulators theory and practice the simulation of physical systems as described by their Hamiltonian. It's a fundamental problem which Richard Fineman identified early on as one of the most promising applications of a hypothetical quantum computer. The real world around us, especially at the molecular level is described by Hamiltonians, which captured the interaction of electrons and nuclei. What we desire to understand from Hamiltonian simulation is properties of complex molecules, such as this iron molded to them. Cofactor an important catalyst. We desire there are ground States, reaction rates, reaction dynamics, and other chemical properties, among many things for a molecule of N Adams, a classical simulation must scale exponentially within, but for a quantum simulation, there is a potential for this simulation to scale polynomials instead. >>And this would be a significant advantage if realizable. So where are we today in realizing such a quantum advantage today? I would like to share with you a story about two things in this quest first, a theoretical optimal quantum simulation, awkward them, which achieves the best possible runtime for generic Hamiltonian. Second, let me share with you experimental results from a quantum simulation implemented using available quantum computing hardware today with a hardware efficient model that goes beyond what is utilized by today's algorithms. I will begin with the theoretically optimal quantum simulation uncle rhythm in principle. The goal of quantum simulation is to take a time independent Hamiltonian age and solve Schrodinger's equation has given here. This problem is as hard as the hardest quantum computation. It is known as being BQ P complete a simplification, which is physically reasonable and important in practice is to assume that the Hamiltonian is a sum over terms which are local. >>For example, due to allow to structure these local terms, typically do not commute, but their locality means that each term is reasonably small, therefore, as was first shown by Seth Lloyd in 1996, one way to compute the time evolution that is the exponentiation of H with time is to use the lead product formula, which involves a successive approximation by repetitive small time steps. The cost of this charterization procedure is a number of elementary steps, which scales quadratically with the time desired and inverse with the error desired for the simulation output here then is the number of local terms in the Hamiltonian. And T is the desired simulation time where Epsilon is the desired simulation error. Today. We know that for special systems and higher or expansions of this formula, a better result can be obtained such as scaling as N squared, but as synthetically linear in time, this however is for a special case, the latest Hamiltonians and it would be desirable to scale generally with time T for a order T time simulation. >>So how could such an optimal quantum simulation be constructed? An important ingredient is to transform the quantum simulation into a quantum walk. This was done over 12 years ago, Andrew trials showing that for sparse Hamiltonians with around de non-zero entries per row, such as shown in this graphic here, one can do a quantum walk very much like a classical walk, but in a superposition of right and left shown here in this quantum circuit, where the H stands for a hazard market in this particular circuit, the head Mar turns the zero into a superposition of zero and one, which then activate the left. And the right walk in superposition to graph of the walk is defined by the Hamiltonian age. And in doing so Childs and collaborators were able to show the walk, produces a unitary transform, which goes as E to the minus arc co-sign of H times time. >>So this comes close, but it still has this transcendental function of age, instead of just simply age. This can be fixed with some effort, which results in an algorithm, which scales approximately as towel log one over Epsilon with how is proportional to the sparsity of the Hamiltonian and the simulation time. But again, the scaling here is a multiplicative product rather than an additive one, an interesting insight into the dynamics of a cubit. The simplest component of a quantum computer provides a way to improve upon this single cubits evolve as rotations in a sphere. For example, here is shown a rotation operator, which rotates around the axis fi in the X, Y plane by angle theta. If one, the result of this rotation as a projection along the Z axis, the result is a co-sign squared function. That is well-known as a Ravi oscillation. On the other hand, if a cubit is rotated around multiple angles in the X Y plane, say around the fee equals zero fee equals 1.5 and fee equals zero access again, then the resulting response function looks like a flat top. >>And in fact, generalizing this to five or more pulses gives not just flattered hops, but in fact, arbitrary functions such as the Chevy chef polynomial shown here, which gets transplants like bullying or, and majority functions remarkably. If one does rotations by angle theta about D different angles in the X Y plane, the result is a response function, which is a polynomial of order T in co-sign furthermore, as captured by this theorem, given a nearly arbitrary degree polynomial there exists angles fi such that one can achieve the desired polynomial. This is the result that derives from the Remez exchange algorithm used in classical discreet time signal processing. So how does this relate to quantum simulation? Well recall that a quantum walk essentially embeds a Hamiltonian insight, the unitary transform of a quantum circuit, this embedding generalize might be called and it involves the use of a cubit acting as a projector to control the application of H if we generalize the quantum walk to include a rotation about access fee in the X Y plane, it turns out that one obtains a polynomial transform of H itself. >>And this it's the same as the polynomial in the quantum signal processing theorem. This is a remarkable result known as the quantum synchrony value transformed theorem from contrast Julian and Nathan weep published last year. This provides a quantum simulation auger them using quantum signal processing. For example, can start with the quantum walk result and then apply quantum signal processing to undo the arc co-sign transformation and therefore obtain the ideal expected Hamiltonian evolution E to the minus I H T the resulting algorithm costs a number of elementary steps, which scales as just the sum of the evolution time and the log of one over the error desired this saturates, the known lower bound, and thus is the optimal quantum simulation algorithm. This table from a recent review article summarizes a comparison of the query complexities of the known major quantum simulation algorithms showing that the cubitus station and quantum sequel processing algorithm is indeed optimal. >>Of course, this optimality is a theoretical result. What does one do in practice? Let me now share with you the story of a hardware efficient realization of a quantum simulation on actual hardware. The promise of quantum computation traditionally rests on a circuit model, such as the one we just used with quantum circuits, acting on cubits in contrast, consider a real physical problem from quantum chemistry, finding the structure of a molecule. The starting point is the point Oppenheimer separation of the electronic and vibrational States. For example, to connect it, nuclei, share a vibrational mode, the potential energy of this nonlinear spring, maybe model as a harmonic oscillator since the spring's energy is determined by the electronic structure. When the molecule becomes electronically excited, this vibrational mode changes one obtains, a different frequency and different equilibrium positions for the nuclei. This corresponds to a change in the spring, constant as well as a displacement of the nuclear positions. >>And we may write down a full Hamiltonian for this system. The interesting quantum chemistry question is known as the Frank Condon problem. What is the probability of transition between the original ground state and a given vibrational state in the excited state spectrum of the molecule, the Frank content factor, which gives this transition probability is foundational to quantum chemistry and a very hard and generic question to answer, which may be amiable to solution on a quantum computer in particular and natural quantum computer to use might be one which already has harmonic oscillators rather than one, which has just cubits. This has provided any Sonic quantum processors, such as the superconducting cubits system shown here. This processor has both cubits as embodied by the Joseph's injunctions shown here, and a harmonic oscillator as embodied by the resonant mode of the transmission cavity. Given here more over the output of this planar superconducting circuit can be connected to three dimensional cavities instead of using cubit Gates. >>One may perform direct transformations on the bull's Arctic state using for example, beam splitters, phase shifters, displacement, and squeezing operators, and the harmonic oscillator, and may be initialized and manipulated directly. The availability of the cubit allows photon number resolve counting for simulating a tri atomic two mode, Frank Condon factor problem. This superconducting cubits system with 3d cavities was to resonators cavity a and cavity B represent the breathing and wiggling modes of a Triumeq molecule. As depicted here. The coupling of these moles was mediated by a superconducting cubit and read out was accomplished by two additional superconducting cubits, coupled to each one of the cavities due to the superconducting resonators used each one of the cavities had a, a long coherence time while resonator States could be prepared and measured using these strong coupling of cubits to the cavity. And Posana quantum operations could be realized by modulating the coupling cubit in between the two cavities, the cavities are holes drilled into pure aluminum, kept superconducting by millikelvin scale. >>Temperatures microfiber, KT chips with superconducting cubits are inserted into ports to couple via a antenna to the microwave cavities. Each of the cavities has a quality factor so high that the coherence times can reach milliseconds. A coupling cubit chip is inserted into the port in between the cavities and the readout and preparation cubit chips are inserted into ports on the sides. For sake of brevity, I will skip the experimental details and present just the results shown here is the fibrotic spectrum obtained for a water molecule using the Pulsonix superconducting processor. This is a typical Frank content spectrum giving the intensity of lions versus frequency in wave number where the solid line depicts the theoretically expected result and the purple and red dots show two sets of experimental data. One taken quickly and another taken with exhaustive statistics. In both cases, the experimental results have good agreement with the theoretical expectations. >>The programmability of this system is demonstrated by showing how it can easily calculate the Frank Condon spectrum for a wide variety of molecules. Here's another one, the ozone and ion. Again, we see that the experimental data shown in points agrees well with the theoretical expectation shown as a solid line. Let me emphasize that this quantum simulation result was obtained not by using a quantum computer with cubits, but rather one with resonators, one resonator representing each one of the modes of vibration in this trial, atomic molecule. This approach represents a far more efficient utilization of hardware resources compared with the standard cubit model because of the natural match of the resonators with the physical system being simulated in comparison, if cubit Gates had been utilized to perform the same simulation on the order of a thousand cubit Gates would have been required compared with the order of 10 operations, which were performed for this post Sonic realization. >>As in topically, the Cupid motto would have required significantly more operations because of the need to retire each one of the harmonic oscillators into some max Hilbert space size compared with the optimal quantum simulation auger rhythms shown in the first half of this talk, we see that there is a significant gap between available quantum computing hardware can perform and what optimal quantum simulations demand in terms of the number of Gates required for a simulation. Nevertheless, many of the techniques that are used for optimal quantum simulation algorithms may become useful, especially if they are adapted to available hardware, moving for the future, holds some interesting challenges for this field. Real physical systems are not cubits, rather they are composed from bolt-ons and from yawns and from yawns need global anti-Semitism nation. This is a huge challenge for electronic structure calculation in molecules, real physical systems also have symmetries, but current quantum simulation algorithms are largely governed by a theorem, which says that the number of times steps required is proportional to the simulation time. Desired. Finally, real physical systems are not purely quantum or purely classical, but rather have many messy quantum classical boundaries. In fact, perhaps the most important systems to simulate are really open quantum systems. And these dynamics are described by a mixture of quantum and classical evolution and the desired results are often thermal and statistical properties. >>I hope this presentation of the theory and practice of quantum simulation has been interesting and worthwhile. Thank you.