>>from around the globe. It's the Cube with digital coverage of VM World 2020 brought to you by VM Ware and its ecosystem partners. Hello and welcome to the Cubes coverage of VMRO 2020 Virtual this The Cube Virtual I'm John for your host, covering all the action for VM World not in person. This year it's virtual, so we're bringing you the virtual interviews remotely. We've got two great guest here. Marc Lemire, senior vice president general manager of the Cloud Services business unit at VM Ware and David Brown is the vice president for two at AWS Amazon Web services. Both Cube alumni's great to see you guys remotely Thanks. Coming on eso i first vm worlds not face to face. Usually it's great event reinvents Also gonna be virtual again. It's, you know, we're gonna get the content out there, but people still gotta know the news is gonna know what's going on. Um, I remember three years ago, I interviewed Pat Kelsey and Andy Jassy in San Francisco on the big announcement of AWS and VM Ware Uh, vm ware on a W s. Really? Since then, what a great partnership Not only has VM where have cleaned up their clarity around cloud. But the business performance mark has been phenomenal. Congratulations. All the data that we're reporting shows customers are leaning into it heavily Great adoption and super happy success. A US congratulations as well for great partnership. Mark three years, Uh, with the industry defining partnership. Ah, lot of people were skeptical. We're on the right side of history, I gotta say, we called >>it. That's right. It's an update. Yeah, No, look, we're super excited. Like you said, It's the third year anniversary of this game changing partnership and look, the relationship could not be stronger right across engineering the product teams to go to market teams really getting stronger and deeper every day. And at the end of the day, you know, of course, what it's about is innovating on behalf of our customers, delivering compelling new capabilities that allow them thio, migrate and modernize. And, you know, look, we're just really pleased with the partnership, right? And I think, as a result of that depth of joint engineering, building and delivering the service together, you know, we're proud to be able to say that it addresses are preferred public cloud partner for the Starbase workloads. >>You know, I remember at the time David talking to Terry Wise Ah, native West Side and Andy, of course on Ragu the architect for this vision of the partnership. And this changed how vm Ware has been doing partnerships on. I want to talk about that because I think that's a great use case of what I call the new cloud native reality that everyone's living in. But before we get there, Mark, there's some news tied around AWS and VM. Where could you take a minute to, uh, share the news around what's going on with VM World 10 0 You got connect. You got all kinds of enhancements. Just the update on the news. >>Yeah, sure. So you know, we continue Thio, listen closely to our customers and continue to deliver them new value, new capabilities and a few things we're gonna highlight at being world. The first is we've heard from many customers, you know, they love the ability to rapidly migrate their visa service workloads to the AWS Cloud and VMC on AWS is really a game changer. From that perspective on dso that continues to be really, really compelling use case for many customers. But what they've also said to us is, Look, it's not just about migrating to the cloud. It's also about migrating and then modernizing. And so, together with AWS, we have really brought together the richest set of tools for our customers to enable them to modernize those applications. Of course, we've talked about before. Customers have access to the full rich set of AWS services on Ben within VM or called on AWS. We're now announcing support for native kubernetes capabilities within VM Ware Cloud in eight of us taking advantage of the VM Ware Tansy Communities, good service. So we're really excited about bringing that that service in particular to our joint customers and then three other kind of key innovation that we're going to be talking about is around networking, right? And as our customer environments get larger and larger and they're looking to create a fairly sophisticated apologies between their on Prem Data Center between multiple VMC and AWS instances and between perhaps multiple native aws vpc s, we've done a lot of work together to really simplify the way that customers can connect all those environments together. Onda, maybe Dave wants toe talk a little about that. >>It did chime in. What's What's the news on your end to? What's the relationship and an update from the Amazon side for VM World? >>Yeah, absolutely. I mean, the partnership has just been incredible working with being where Right, Right? Right from four years ago, when we first started with the idea of what could be a W s and beyond where do together. I think we've seen really deep engineering engagement, but also leadership engagement on support from leadership on both sides was really set. Set us up for the partnership that we have today, which has been phenomenal. You know, Mark was just talking about the transit connect feature that beyond whereas adopting and what you really seen, there is years of innovation on the networking side of the sea to where we've really understood deeply what customers need from a network. Understood the fact that they're trying to recreate some of those large networked apologies that they're doing on premise on, then trying to support them in a cloud way of supporting them in a cloud about, like, way. And so, you know, transit gateways to service under the hood that we released about two years ago. It reinvent. And so what we've been doing with being where he's working out. What is Transit Gateway mean within the VM Ware environment? And so really bringing customers that that rich connectivity that they need? You know, whether it's between the BBC's between the VM Ware environments, even back to on Prem or between regions on DSO. That's what transit connect now on being where it's gonna be utilizing and bringing to customers we're pretty excited about. You know what that means for our customers? >>You know, one of the trends I see coming out all the announcements. David, I want to get your thoughts on it because we talked briefly a few months ago, uh, for your summit virtual. But I want you to kind of put it in context of VM Ware because you're seeing virtualization of physical things. You know, Nick's with Project Monterey and all that stuff with within video and software. You see to you guys have seen this vision not just compute, but you talk about networking. You know, you have the really the first time this convergence of physical own software virtual and This is not new to you guys. I know this is the premise of Amazon Cloud. First, you have the building blocks as three NBC too. But now a slew of other services. But this trend is gonna continue. Certainly with covert and work at home, there's mawr need firm or compute more different kinds of compute. You got the physical layer from the network of the devices. This isn't gonna go away. I mean, I would just need some interviews about Space Force, and they're talking about software to find, um, devices you can't do break fix in the space. So you know all this is gonna be done with software and this idea of the physical virtual coming together I mean, I know I love the Virtual Cube were not in person, which we were. But this virtualization trend around the hardware this is this'll is all about the sea, but the sea spinning for years. How does that relate >>to be inward customer? So, I mean, I think the VM ware customers experience which realization right long before ec2 was around as well. When being we're back in the day with being workstation, uh, it's it's kind of central to what they've been able to do, you know, being able to virtualized environments, being able to stand up environments ready very quickly on a physical machine is what the English board for the customer, Easy to started in a similar place. You know, the strength of the C two is being able to get a B m in a few minutes. Andi, you know, we've just grown the what we can support in a virtualized world. So you think about where we started with very simple machines, you know, today is supporting things like HPC and and advanced. You know, accelerators like GP use. And if p g A s and so we've already pushed the virtual world now, interestingly enough, you know, Vienna is obviously doing the same thing with their hyper visor. You know, many, many happy customers there. The really interesting thing it was through the innovation that we were doing on the easy to side to work out. How do we really get the most out of virtualization? Historically, virtualization is being played with things like jitter and just performance. You couldn't really get the network performance there with CPU would stall and those are sort of the old issues. The cloud in the innovation we've been doing is largely gotten rid of those. And so it's actually almost the the the ability to remove the virtualization from easy to. That really was the ingredient that enabled us to allow VM Ware to run on this. And so that's where it all started. Back in late 2016 we started to work with my team saying, You know, we've actually built the ability through our nitro system, um, to not require our virtualization layer. And then we could replace that virtualization with the VM Ware virtualization layer and that that set us up for what we have today, right? That that made VM ware on AWS a reality that gave the VM Ware customer you know, the full VM ware virtualization support, which is what the applications have been. Both Paul, that's what they've really come. Thio love. I don't want to change all of that when they moved to the cloud and so being able to move those workloads to the cloud for being where you know on on AWS and and get the benefit of great hardware design together with the great opera visor from being where obviously, it's a virtual the end of the day with a lot of innovation that we need to make him that >>mark. I wanna get your thoughts on this because I remember when we again years ago when we covered it again on the right side of history of the prediction, we said It's gonna be a great thing, afraid of us. And the end where some of the other commentary was at that time was Oh, my God. VM was lost at the capitulated Amazon is gonna suck all the thousands and thousands of VM where customers into the cloud and they're gonna eat him up in Vienna. Where is gonna be sitting there? Uh, you know, inside of the road. Okay. Not the case. Your business performance has been exceptional. Okay? The customers have been resonating with the offering. It's been a win win. Can you talk about the business momentum and how this continues to go? Because again, everyone got it wrong on that side. This has been exactly how you guys had heated up. I mean, a little bit here, and they're not exactly, But from a business perspective, it hit the mark. What's your thoughts? >>Yeah. No. Look, we've been incredibly pleased that the customer adoption that we've seen for the service, um, in fact, you know, the total workload count on the service has increased by over 140% versus this time last year, right? So clearly, customers are adopting the service at a large scale on growing rapidly. But I think you sort of feel that killed that back a little bit, right? It's It's really driven by three use cases and the value that we're able to deliver the customers right? And so if you're a customer, that's gotta be severe based workload in your own data center, and you want to move to the AWS Cloud. You know the fastest, lowest cost lowest Chris Way to move that workload is using VM Ware Cloud on AWS, right? And so it's that use case. It's powering a lot of that consumption. Another interesting use case that Xdrive in a lot of demand and that we continue to invest and expand is disaster recovery, right? So there's some customers that still want to run some more clothes in their own data centers, but they'd like to build leverage the public cloud as a target for disaster recovery. And you think about it you're talking about, you know, Cloud delivered as a service and the elasticity and all of those benefits. Those really playoff strongly in the d r use case where you Onley really want to spend up that capacity in the scenario where you actually need it, right in the case of a natural disaster. And so VM were recently acquired a company called Atrium and we're using that technology to enable a new service we call VM Ware. Cloud D are on top of the VMC on AWS offering, and this is a really powerful capability because it allows our customers to significantly reduce the cost of disaster recovery by taking advantage of AWS is low cost s three storage, combined with some unique capabilities in the day trip service that allows us to store the V M. D. K. Is very cost effectively on the next three storage. And then, in the case of a disaster, we can spin up those hosts. You know, they've talked about the nitro host. I've been spin up those bare metal host with the being more hyper visor on it and automatically restart those workloads without requiring any. VM conversion is because, of course, it's all all these fear based, right? So you know, it's so we're really pleased with the business performance, but you know, sort of behind that, of course, is the value that we can deliver to our joint customers together. >>You know, the integration thing is interesting again. I think the success is that there's a partnership at the highest levels and trickles down into engineering. David, talk about what's next for AWS because, you know, after cloud, you've got cloud native integrations. They're gonna be needed across more partners and more customers. Um, but they don't wanna do the heavy lifting, right? So So if I'm a customer like, hey, you know what? I just want Mawr Cloud scale. I want more cloud capabilities, but I don't want to do all this integration. How does how does Amazon view that conversation? Because again, that's one of the things that every interview, every reinvent every time I talk to Andy and the team. It's undifferentiated, heavy lifting what our customers asking for free from from you guys. VM, where customers and What's the What's your thoughts on this? What do you guys thinking about right now? >>Absolutely. I think market head on a couple of key points there as well or at the customer in this case, off. I have a workload today that I run in my data center or running a cola facility, whatever it might be. And I run it for many years, Um, in many cases working with customers in industries like healthcare and finance. You know, where they've actually had these thes applications qualified or certified? I'm to actually one on that hardware. And so, you know, requiring them to move to a different hyper visor is obviously a ready they'd lift and may slow down the ultimate migration to the cloud. Um And so having vm ware cloud on AWS and the ability to say to those customers, you know, just bring your application and you'll workload and and honestly the benefit of the entire ecosystem that VM Ware provides and come and enjoy that on AWS and burst into aws eso that's just been enormously beneficial for our in customer, For AWS is probably aware. I think that's the thing that really makes the partnership incredibly strong. And from there, you know, these customers can pivot. And so one of the things that we've been doing together with Vienna, where is ongoing innovation? Right. So we recently just launched, um, support for our I three n uh storage instance type, which offers up to 50% discount storage per gig with VM ware. And there's a lot that went into that behind the scenes to make sure that that instance type is perfectly tuned for what VM were needed for their end customer. We're very excited to get that out. There are many, many customers so excited about the benefit that that brings to them, right? So they're getting all the benefit of AWS innovation while they keep the benefits that they've been enjoying on the VM Ware side. Um, and you know, that speaks to the largest sort of approach that AWS has taken in in several industries across several industries. Right being where, I think is probably the best example of that. But if you look at many other areas like our networking products, customers will often come to us and say, you know, I love using a certain type of load balance. So I love using this firewall. Um, you know, within my environment. And we have great partnerships of all those companies to say if your customer, while joint customer, wants to use whatever appliance, whatever application, you know, we have a full market place full of thousands of applications that are all certified to run on us. We want to make sure we can meet those customers where they are and simplify the immigration story for them as much as we can. >>All right, So I gotta put you guys on the spot. Mark will start with you, but you can't get the same answer. Um, to the same question. The question is, what are the customers most happy with with the partnership from a feature perspective? What's the one? What? What would you say, Mark, um is the big Ah ha. This really is amazing. I'm so happy because of this feature capability. >>Yeah, yeah, I mean, a little bit back to the discussion we're having before, but I think you know the killer use case Really for the service today is that cloud migration use case I was talking about before. And if you think about what it might have taken them previously. Right? Uh, you know, expensive time consuming. Um, you know, it requires changes to their environment. In some cases, with with VM or cloud on AWS, we could take the cloud migration that would previously been taken them perhaps years, millions or tens of millions of dollars. And we can shrink that down toe literally months, right. We have some customers like m i t. That migrated hundreds of applications literally over a weekend. Right. And we're able to do that because it's the same core enterprise Class V, and where capabilities of the customers already optimized their application to run on in their own data centers that now we've enabled on AWS as a cloud service so that that cloud migration use case kind of combined with the fact that we're, um that were delivered to them as a service in the AWS cloud. I think is, uh, you know, one of the one of the use cases that a lot of customers find extremely attractive. >>Alright, David, your turn from an M. A w s perspective. What are people happy with you for on this partnership? What praises? Are you getting some your way When someone says, Hey, man, this partners has been great. Amazon really is awesome for this. What would you say to that? >>Eso, you know, watch book about the migration I was going to choose sort of, You know, once they're in aws, um, the benefits of the power brakes writes the ability to scale on the mind. E think one of the great things about the record in AWS that VM Ware did is already built it as a cloud native service. And so, you know, the customers are able to provision additional capacity very easily. We have that capacity available on AWS, and so they're able to meet any sort of unexpected demand of scale. Um, and then together with the breadth of services that we have on a diverse is Well, you know, you and we've we thought very carefully about how being were customer would want to consume those and to make sure that the whole system set up to allow that to happen. And so allowing them to to broaden what they're using over time, is there. Engineers and teams find other services that allow them to innovate faster and, you know, bold more interesting applications so that it integrates incredibly well between AWS and VMware and customers benefit from that. >>I wanna ask you guys, um, or in the industry side, um, to comment on cloud native, um, mainly because one we cover it into it's kind of important trend. Um, recently, snowflake went public with the largest i p on the history of the of Wall Street, and it's an enterprise company. Okay, Um, and I was using that as an example because actually being where was the second most popular, uh, Hypo happens to be another enterprise company if and I was commenting on this, and I want to get your reaction to it And that is, is that if you look at the mega trend that's going on now, of all the things people talk about, it's the cloud native That's the most interesting, because this is all the value. If you look at the modern applications all the way down to the networking, everything in between. It's all about cloud native, And it's not just about cloud public cloud. It's not about It's an operating model when we talk about that. But Cloud native is the big wave that people are on. And if you're on it, your modern. This is not just hand waving. It's legit. I mean, you're seeing benefits of it. You're seeing speed, time to value all the things that people talk about, it, the events. Could you guys comment on why Cloud native is so important today and why customers and developers should be really thinking through what that is for them. Um, David will start with you. >>Absolutely. So for us part native really means, you know, have you built your application in a way that takes advantage of the benefits of the cloud? And so are you able to scare the application horizontally? Are you able, Thio? You know, building away That's redundant Across multiple data centers. Are you able to utilize services that are provided by, you know, aws, the cloud provider Thio to not have your teams build that And so what it ultimately means is you're able to spend more time focused on on building stuff that really matters. You know, if your application So you mentioned Snowflake, you know there are a great AWS customer work very closely with them and and they're able Thio, have us around a lot of the infrastructure, all the infrastructure for them in the power. And they can really focus on building an absolutely incredible data, whereas in solution for their end customer and we innovate very closely with them. And so that's really what it means, you know. And I think organizations that have gotten themselves there ready get a lot of benefit. They're able to innovate faster. They're able Thio deliver more to the end customer. You know, we spent a lot of time with companies that you wouldn't say a cloud native today and as a cloud provider, azi exciting as it is to support the cloud native customer, it's also incredibly important that we find a way to support the company. That's on a journey towards adopting the cloud, right? They've got a long history. Maybe they've been around for many, many, many years. Andi, I've got a large application stack that they need to move. And so that's where our migration programs really support customers. You need to bring non card native applications and then we're able to work with them over time to make them, you know, more cloud native and get a lot of those benefits. And so it's a journey that I think many of companies on. Some started there, and some have a way to get their differently. Has a lot of benefit. >>Isn't Snowflake really in Just a example of value creation? I mean, it's not about that. They're on Amazon. You're happy about that. But it shows that you don't have to go a certain way. If you create value, speed, scale speaks for itself. So that's just that could be an enterprise. That could be startup. That could be the Cube. It could be anybody, right? I mean, don't you see it that way? >>Absolutely. Absolutely. I mean, they had a great use case that a customer need. It's in a really interesting area, obviously dealing with big data. And so I think you know, there's there's really no limit there, >>Mark. You guys are in the modern app. That's what you're hearing. It's one of the things that people gonna wanna come out of co vid. They're gonna wanna have a growth strategy. Cloud native. Why is it important? And what's your take on this? What's your reaction to the cloud native being the big wave? >>Yeah, I mean, I think. I think Dave said it. You know very well. I mean, when I talked to customers, you know, regardless of where they are in that journey, they all have some form of digital transformation agenda. Right? And at the end of the day, they wanna deliver better services to their end customers because they know that's what different is going to differentiate them. Or they want a better empower their employees, right? And as part of trying to deliver that value to their customers, their employees, you know, they want to focus their time and energy on the things that really differentiate them. Right? And, you know, for many of them that that means, you know, they don't wanna have to worry about, you know, upgrading some infrastructure software, right? That's not that's not delivering value to their to their customers. And so, you know, I think as they go down that journey, you know, we're really pleased to be ableto partner. What they did you ask to be able to create these, uh, you know, these powerful platforms together between VM ware and AWS that really deliver a lot of value to customers and allow them to focus on what's important their business, right? And, you know, by bringing together those enterprise class VM, or capabilities that hundreds of thousands of customers trust for their most mission critical workloads. Combining that with eyes, they have talked about the possibility of agility, the scalability of the dust cloud and then sort of, you know, not just those existing workloads, but also enabling a rich set of new services those customers can take advantage of to modernize. You know, whether it's VM Ware services like I talked about before with our native kubernetes capability built into BMC or whether it's the you know, hundreds and growing portfolio abated bus services, you know, giving them all, giving them the power of that full toolkit as a service so they can focus on building value on top. I mean, that's e think, really they want an equation. But that's why so many customers are moving down that path together with us. >>Well, congratulations. I want to say to you because David Lynch has been digging into the buyer behavior data, looking at the what the budget projections gonna be and VM ware on AWS has been strongly performing, and it's doing really well. Congratulations. And David. Great to have you back on. And you got reinvent less than 60 days away. Can you give us a little taste, teaser and taste of what you got going on? I know you can't reveal, but what kind of generally we're gonna be seeing at reinvent, uh, with E c two and your team >>absolutely reinvents a little different this year. It's It's obviously virtual on, so we're pretty excited about that. We think it will bring a new flavor. And so there's a lot of planning going on both in terms of product delivery. It was a It was a great time of year for us as we finish up a lot about big releases aimed at reinvent, then obviously working on content and presentations. And so, you know, a lot of interesting stuff for customers to think about is that >>they're not revealing anything. You just you know. Okay, you're gonna have some announcements. I'm sure you see two. That's a big announcements. Exactly. Hiding the ball, as they say. David Brown, vice president of Easy to it. Amazon Web services. AWS, Markle, Omar s v P. And GM. A cloud Service business unit at VM Ware. Um, great partnership. Congratulations. We'll be following it. Thanks for coming. I appreciate it. Thank >>you very much. >>Okay, I'm John. For with the Cube. We're here in Palo Alto. Remote for the Cube. Virtual for VM World 2020. Virtual couldn't be face to face. We're doing our best with our cube virtual to get you the content. Thanks for watching.

>>Here you are new. Welcome back to the cubes. Continuing coverage of AWS reinvent 2021 live from Las Vegas. Lisa Martin, with John farrier, John, we have two live sets. There's a dueling set right across from us two remote studios over 100 guests on the cube at AWS reinvent 2021. Been great. We've had great conversations. We're talking about the next generation of cloud innovation and we're pleased to welcome one of our alumni back to the program. Lisa Bernays here, the CEO and co-founder of D L Z P group. Lisa. Welcome. >>Hi, thank you. I appreciate the opportunity to be here with you and John. It's a great opportunity >>And John's lucky he gets to lease us for the price of London. One second. Talk to me about da DLDP. This is a woman and minority owned company. Congratulations. That's awesome. But talk to us about your organization and then we'll kind of dig into your partnership with AWS. >>Sure. So DLC P group, we found it in 2012. Um, and for us, we were at the time we were just looking for a way to offer a value added service to our customers. We wanted to always make sure that we were giving them the best quality, but what I also wanted to do is I wanted to create an environment for my employees, where they felt valued, and we kind of built these core values back then about respect, flat hierarchy, um, team, team learning, mentorship, and we incorporated, so everybody can do this remotely from around the world. So we've always made sure that our employees and customers are getting the best value. >>Well, what kind of customers, what target market, what kind of customers do you guys work with? >>Well, we've actually made sure that we're diverse. We make sure that we have 50% in public sector and 50% in private sector, but it's been very, very interesting journey for us because once we started one sec, like we started with cities and then a number of cities started contacting us to do more business. So it's always been this hurdle to make sure we're diverse enough to make sure we offer the best solutions. >>And you jumped in with AWS back in 2012 when most folks were still to your point. I saw your interview earlier this summer, thinking about Amazon as a bookstore, why a debit? What did you see as the opportunity back in 2012 with them? >>Well, when we first heard about AWS, my first thought is, well, it's amazon.com. What is AWS? And then once we started talking to them, we saw the capabilities and the potential there. We saw what it could do. So we partnered with them to actually have the first working PeopleSoft customer on AWS. So that's a large ERP application and that helped build the foundation to prove what could actually run on the cloud. And since then, we've been able to prove so much more about the technology and what AWS is accomplishing. >>Was it a hard sell back in the day? >>It was a little bit hard, but it was interesting because we were speaking with one of our customers they're on premise and they're like, well, you know, we're going to have to re do a whole data center. We're talking about millions of dollars. We don't really have the budget to redo this. And that's when we're like, well, we have this great partnership with Amazon. We think this would be the perfect opportunity to let you try the cloud and see how successful it was. >>At least I want to point out you got your, one of the Pathfinders that Adams Leschi pointed out because back in 2012, getting PeopleSoft onto the cloud, which is really big effort, but that's what everyone's doing now. I just saw the news here. SAP is running their application on graviton too, right? So you start to see and public sector during the pandemic, we saw a ton of connect. So you were really on this whole ERP. ERP is our big applications. It's not small, but now it's, everyone's kind of going that way. What's the current, uh, you feel how you feel about that one? And what's the current update relative to the kind of projects you got going on? >>Well, we've, we've evolved quite a bit. I mean, PeopleSoft is always going to be in our DNA. A lot of my employees are ex or Oracle employees. They have developed a lot of the foundations for PeopleSoft, but since then, like we've worked with serverless technology when that was released a number of years ago, we, we asked our team, okay, AWS just talked about Lambda, serverless technology, go figure out what is the best solution. We ended up running ours, our website serverless. We were one of the first. And from that, we brought our website costs down from hundreds of dollars to pennies a month. So it's a huge savings. And then we started, um, about two years ago, we spoke with our utility company. Um, there were saying how with machine learning, they were only going to be able to get a 75% accuracy for their wind turbines. And we said, well, let us take a shot at it. We have some great solutions on AWS that we think might work. We were able to redo their algorithm using AWS cloud native tools, open source data to get a 97 to 99% accuracy on a daily basis. And that saves them millions of dollars each day. >>Don's right. And as Adam was saying with some of the folks, customers, he was highlighting on main stage the other day, you are a Pathfinder. How did you get the confidence? Especially as a female minority owned business. I'd love to just get maybe for some of those younger viewers out there. How did you get the confidence to, you know what? I think we can do this. >>I think for me, I, I, I don't like to take no for an answer. There's always a solution. So we're always looking at technology, seeing how we can use it to get a better answer. >>What do you think about reinvent this year? A lot of goodies here every year, there's always new creative juices flowing because it's a learning conference, but it's also feels like a futuristic kind of conference. What's your take this year? >>I don't know if you happen to attend midnight madness when they were talking about robotics and the future with that. I mean, we've been talking about that for a number of years of what could be created with robotics. Like even my son back in middle school was talking about creating a robot Butler. He just, everybody knows what the future is. And it's so great that we finally have the foundation in technology to be able to create these >>Well, if you're someone that doesn't like to say, no, does your son actually have a robot Butler these >>Days? He's still working on it. >>That's a good answer to say, Hey, sorry, your mom's not going to be there to get the robot. The latency thing. This is the robot. First of all, we'd love the robotics, I think is huge. We just had George on who's the fraught PM for ECE to edge and late, the wavelength stuff looks really promising for the robotics stuff. Super exciting. >>Yes. We can't wait to start playing with it more. I mean, it's something that our team has been dabbling. We spent probably about 30% of our time on R and D. So we're looking at the future and what we can invent next because >>You guys can affect such dramatic changes for customers. You talked about that wind turbine customer going from 75% accuracy to 97, 90 8%. Where are your customer conversations? Cause that's, is, are they at the C level with showing organizations that dramatic reduction in costs and workforce productivity increased that they can get? >>We talk with everyone it's it could be the solution architect. It could be an intern. It could, and we're just sharing our ideas with them. And we also talk with the C level. Um, it's just, it's everybody is interested in and they have different, different ideas that they want to share. So with the solution architect, we can share with them the code and how we're going to architect it. While the C level, we just pointed out black and white, this is your cost. Now this is what your cost is going to be. And everybody is happy. They, they jump on board with it. >>Lisa, you mentioned 30% R and D by the way, it's awesome. By the way, that's well above most averages, what are you working on? Because I totally think companies should have a big R and D play around budget, get a sandbox, going get some tinkering. Cause you never know where the real discoveries we had. David Brown who runs NC to nitro, came out of a card on the network. So you'd never know where the next innovation comes from. What's the, what are you guys doing for R and D? What's the fun projects are what endeavors. >>So there's two of them. One is actually a product, which is a little bit out of our comfort zone, but we're, we're, we're looking to develop something that will be able to help, um, NASA. So that's the goal where, you know, we've been working on it since they released their ma their mission to Mars projection. So it's something that we're very passionate about, but then we're also building a software. Uh, we've been working on it for about three years now and we actually have two customers prototyping it. So we're hoping to be able to launch it to the public within the next year. >>You mentioned NASA and I just about jumped out of my chair. That was my first job out of grad school was really the space program. Can you tell us a little bit more about what you're helping them do? I love how forward-thinking that they are, obviously they always have been, but tell me a little bit more about that. >>So I can't share too much because it's one of those things is a common sense thing. Once you think about a little bit more, it's kind of like why didn't anybody never think about this? So we're using new technology and old technology together to combine the solution. >>Ooh, I can't wait to learn more. Talk to us about these. Think big for small business TB SB program at AWS. How long have you guys been a part of that and what is it enabling? What is it going to enable you to do in 2022? So >>The think big for small business program was the brainchild is Sandy Carter. And I am always, always going to be grateful to her. Um, I met with her in 2019. I shared her journey, our journey with her about how we started out being a premier partner and then over time, because there's so many other partners, we were downgraded. And because just because we're a small business, and even if I had every employee, even my admin staff certified, we would never have enough employees to be to the next level, even though we had the customers, the references. So she listened to us and other small businesses and created the program. And it's been a great opportunity for us because we're, we're gaining access to capital, you know, funding for opportunities. We're getting resources for training. So it, for us, it's been a huge advantage. >>It sounds like a part of that AWS flywheel that we always talk about. John Sandy Carter being one of our famous Cuba alumni. She was just on yesterday with you. Okay. >>And there's so many opportunities for all businesses because you can, you can tackle these problems. You don't have to be a large partner. You can have specialty in AI works really well in these specialized environments. And even technically single-threaded multithreaded applications, which is a technical CS term is actually better to have a single threaded. If you have too many cores, it's actually bad technically. So the world's changing like big time on how technology. So I'm a huge fan of the program. And I think like it's just one of those things where people can get it from cloud and be successful. >>Yes. And that's the goal. I mean, there is so much opportunity in the cloud and we bring interns on all the time, just so they can learn. And what, what resonated with me the most was we brought a high school senior in, he goes, I was with you guys for three months. I learned more in three months, I did four years of high school. And he's like, you set me up for the future. >>Oh my gosh. If there's not validation for you doing in that statement alone. My goodness. Well, you know, some of the things that, that are so many exciting announcements that have come out of this reinvent, so great to be back in person one. Um, but also, you know, being able to help AWS customers become data companies. Because as we were been talking about the last couple of days, every company has to be a data company. You gotta figure it out. If you're, if you haven't by now, there's a competitor right back here, who's ready to take your spot. Talk to us about what excites you about enabling companies to become data companies as we head into 2020. >>Well, for us, everybody has so much data nowadays. You know, I mean even think about cell phones, how much data is stored in that. So each device has so much information, but what do you do with it? So it's great because a lot of these companies are trying to figure out what, how can we use this data to prove that improve the experience for our customers? So that's where we've been coming in and showing them, okay, well, you can take that data. You look at Lisa and John cell phone. You see that they, they love to look up where they're going to go on their next vacation. You can start creating algorithms to make sure that they get the best experience one for the next vacation to make sure it's not a won't Rob the bank. >>Awesome. And going on vacation tomorrow. So I'll be, I'll be expecting some help from you on that. It's been great to have you on the program. Yeah. Congratulations on the success, the partnership, and where can folks go if if young or old years are watching and are interested in working with you, it's the website where they, where can they go to learn more >>Information? So they can go to D L Z P group.com >>DLZ P group.com. Awesome. Lisa, thanks so much for coming back on the program. Great >>To see you. Thank you so much. All >>Right. For John furrier, I'm Lisa Martin and you're watching the cube, the global leader in live tech coverage.

(bright music) >> Welcome back everyone to theCUBE's coverage of AWS re:Invent 2021 in person. So a live event, physical in-person, also virtual hybrid. So a lot of great action online, check out the website. All the videos are there on theCUBE, as well as what's going on all of the actions on site and theCUBE's here. I'm John Furrier, your host with Dave Vellante, my cohost. Finally, we've got David Brown, VP of Elastic Compute Cloud. EC2, the bread and butter. Our favorite part of Amazon. David, great to have you back on theCUBE in person. >> John, it's great to be back. It's the first time I'd been on theCUBE in person as well. A lot of virtual events with you guys, but it's amazing to be back at re:Invent. >> We're so excited for you. I know, Matt Garman and I've talked in the past. We've talked in the past. EC2 is just an amazing product. It's always been the core block of AWS. More and more action happening and developers are now getting more action and there's well, we wrote a big piece about it. What's going on? The Silicon's really paying off. You've got to also general purpose Intel and AMD, and you've got the custom silicon, all working together. What's the new update? Give us a scoop. >> Well, John, it's actually 15 years of EC2 this year and I've been lucky to be on that team for 14 years and so incredible to see the growth. It's been an amazing journey. The thing that's really driven us, two things. One is supporting new workloads. And so what are the workloads that customers have available out there trying to do on the cloud that we don't support and launch new instance types. And that's the first thing. The second one is price performance. How do we give customers more performance at a continuously decreasing price year-over-year? And that's just driven innovation across EC2 over the years with things like Graviton. All of our inferential chips are custom silicon, but also instance types with the latest Intel Ice Lake CPU's, latest Milan. We just announced the AMD Milan instance. It's just constantly innovation across the ever-increasing list of instances. So super exciting. >> So instances become the new thing. Provision an instance, spin up an instance. Instance becomes, and you can get instances, flavors, almost like flavors, right? >> David: Yeah. >> Take us through the difference between an instance and then the EC2 itself. >> That's correct, yeah. So we actually have, by end of the year, right now we have over 475 different instances available to you whether it's GPU accelerators, high-performance computing instances, memory optimized, just enormous number. We'll actually hit 500 by the end of the year, but that is it. I mean, customers are looking for different types of machines and those are the instances. >> So the Custom Silicon, it's one of the most interesting developments. We've written about it. AWS secret weapon is one of them. I wonder if you could take us back to the decision points and the journey. The Annapurna acquisition, you started working with them as a partner, then you said, all right, let's just buy the company. >> David: Yeah. >> And then now, you're seeing the acceleration, your time to tapeout is way, way compressed. Maybe what was the catalyst and maybe we can get into where it's going. >> Yeah, absolutely. Super interesting story 'cause it actually starts all the way back in 2008. In 2008, EC2 had actually been around for just a little under two years. And if you remember back then, everybody was like, will virtualize and hypervisors, specialization would never really get you the same performances, what they were calling bare metal back then. Everybody's looking at the cloud. And so we took a look at that. And I mean, network latencies, in some cases with hypervisors were as high as 200 or 300 milliseconds. And it was a number of real challenges. And so we knew that we would have to change the way that virtualization works and get into hardware. And so in 2010, 2011, we started to look at how could I offload my network processing, my IO processing to additional hardware. And that's what we delivered our first Nitro card in 2012 and 2013. We actually offloaded all of the processing of network to a Nitro card. And that Nitro card actually had a Annapurna arm chip on it. Our Nitro 1 chip. >> For the offload? >> The offload card, yeah. And so that's when my team started to code for Arm. We started to work on our Linux works for Arm. We actually had to write our own operating system initially 'cause there weren't any operating systems available we could use. And so that's what we started this journey. And over the years, when we saw how well it worked for networking, we said, let's do it for storage as well. And then we said, Hey, we could actually improve security significantly. And by 2017, we'd actually offloaded 100% of everything we did on that server to our offload cards Leaving a 100% of the server available for customers. And we're still actually the only cloud provider that does that today. >> Just to interject, in the data center today, probably 30% of the general purpose cores are used for offloads. You're saying 0% in the cloud. >> On our nitro instances, so every instance we've launched since 2017, our C5. We use 0% of that central core. And you can actually see that in our instance types. If you look at our largest instance type, you can see that we're giving you 96 cores and we're giving you, and our largest instance, 24 terabytes of memory. We're not giving you 23.6 terabytes 'cause we need some. It's all given to you as the customer. >> So much more efficient, >> Much, much more efficient, much better, better price performance as well. But then ultimately those Nitro chips, we went through Nitro 1, Nitro 2, Nitro 3, Nitro 4. We said, Hey, could we build a general purpose server chip? Could we actually bring Arm into the cloud? And in 2018, we launched the A1 instance, which was our Graviton1 instance. And what we didn't tell people at the time is that it was actually the same chip we were using on our network card. So essentially, it was a network card that we were giving to you as a server. But what it did is it sparked the ecosystem. That's why we put it out there. And I remember before launch, some was saying, is this just going to be a university project? Are we going to see people from big universities using Arm in the cloud? Was it really going to take off? And the response was amazing. The ecosystem just grew. We had customers move to it and immediately begin to see improvements. And we knew that a year later, Graviton2 was going to come out. And Graviton2 was just an amazing chip. It continues to see incredible adoption, 40% price performance improvement over other instances. >> So this is worth calling out because I think that example of the network card, I mean, innovation can come from anywhere. This is what Jassy always would say is do the experiments. Think about the impact of what's going on here. You're focused on a mission. Let's get that processing of the lowest cost, pick up some workloads. So you're constantly tinkering with tuning the engine. New discovery comes in. Nitro is born. The chip comes in. But I think the fundamental thing, and I want to get your reaction to this 'cause we've put this out there on our post on Sunday. And I said, in every inflection point, I'm old enough, my birthday was yesterday. I'm old enough to know that. >> David: I saw that. >> I'm old enough to know that in the eighties, the client server shifts. Every inflection point where development changed, the methodology, the mindset or platforms change, all the apps went to the better platform. Who wants to run their application on a slower platform? And so, and those inflects. So now that's happening now, I believe. So you got better performance and I'm imagining that the app developers are coding for it. Take us through how you see that because okay, you're offering up great performance for workloads. Now it's cloud workloads. That's almost all apps. Can you comment on that? >> Well, it has been really interesting to see. I mean, as I said, we were unsure who was going to use it when we initially launched and the adoption has been amazing. Initially, obviously it's always, a lot of the startups, a lot of the more agile companies that can move a lot faster, typically a little bit smaller. They started experimenting, but the data got out there. That 40% price performance was a reality. And not only for specific workloads, it was broadly successful across a number of workloads. And so we actually just had SAP who obviously is an enormous enterprise, supporting enterprises all over the world, announced that they are going to be moving the S/4 HANA Cloud to run on Graviton2. It's just phenomenal. And we've seen enterprises of that scale and game developers, every single vertical looking to move to Graviton2 and get that 40% price performance. >> Now we have to, as analysts, we have to say, okay, how did you get to that 40%? And you have to make some assumptions obviously. And it feels like you still have some dry powder when you looked at Graviton2. I think you were running, I don't know, it's speculated anyway. I don't know if you guys, it's your data, two and a half, 2.5 gigahertz. >> David: Yeah. >> I don't know if we can share what's going on with Graviton3, but my point is you had some dry powder and now with Graviton3, quite a range of performance, 'cause it really depends on the workload. >> David: That's right. >> Maybe you could give some insight as to that. What can you share about how you tuned Graviton3? >> When we look at benchmarking, we don't want to be trying to find that benchmark that's highly tuned and then put out something that is, Hey, this is the absolute best we can get it to and that's 40%. So that 40% is actually just on average. So we just went and ran real world workloads. And we saw some that were 55%. We saw some that were 25. It depends on what it was, but on average, it was around the 35, 45%, and we said 40%. And the great thing about that is customers come back and say, Hey, we saw 40% in this workload. It wasn't that I had to tune it. And so with Graviton3, launching this week. Available in our C7g instance, we said 25%. And that is just a very standard benchmark in what we're seeing. And as we start to see more customer workloads, I think it's going to be incredible to see what that range looks like. Graviton2 for single-threaded applications, it didn't give you that much of a performance. That's what we meant by cloud applications, generally, multi-threaded. In Graviton3, that's no longer the case. So we've had some customers report up to 80% performance improvements of Graviton2 to Graviton3 when the application was more of a single-threaded application. So we started to see. (group chattering) >> You have to keep going, the time to market is compressing. So you have that, go ahead, sorry. >> No, no, I always want to add one thing on the difference between single and multi-threaded applications. A lot of legacy, you're single threaded. So this is kind of an interesting thing. So the mainframe, migration stuff, you start to see that. Is that where that comes in the whole? >> Well, a lot of the legacy apps, but also even some of the new apps, like single threading like video transcoding, for example, is all done on a single core. It's very difficult. I mean, almost impossible to do that multi-threaded way. A lot of the crypto algorithms as well, encryption and cryptography is often single core. So with Graviton3, we've seen a significant performance boost for video encoding, cryptographic algorithms, that sort of thing, which really impacts even the most modern applications. >> So that's an interesting point because now single threaded is where the vertical use cases come in. It's not like more general purpose OS kind of things. >> Yeah, and Graviton has already been very broad. I think we're just knocking down the last few verticals where maybe it didn't support it and now it absolutely does. >> And if an ISV then ports, like an SAP's ports to Graviton, then the customer doesn't see any, I mean, they're going to see the performance difference, but they don't have to think about it. >> David: Yeah. >> They just say, I choose that instance and I'm going to get better price performance. >> Exactly, so we've seen that from our ISVs. We've also been doing that with our AWS services. So services like EMR, RDS, Elastic Cache, it will be moving and making Graviton2 available for customers, which means the customer doesn't have to do the migration at all. It's all done for them. They just pick the instance and get the price performance benefits, and so yeah. >> I think, oh, no, that was serverless. Sorry. >> Well, Lambda actually just did launch on Graviton2. And I think they were talking about a 35% price performance improvement. >> Who was that? >> Lambda, a couple of months ago. >> So what does an ISV have to do to port to Graviton. >> It's relatively straightforward, and this is actually one of the things that has slowed customers down is the, wow, that must be a big migration. And that ecosystem that I spoke about is the important part. And today, with all the Linux operating systems being available for Arm running on Graviton2, with all of the container runtimes being available, and then slowly open source applications in ISV is being available. It's actually really, really easy. And we just ran the Graviton2 four-day challenge. And we did that because we actually had an enterprise migrate one of the largest production applications in just four days. Now, I probably wouldn't recommend that to most enterprises that we see is a little too fast, but they could actually do that. >> But just from a numbers standpoint, that's insanely amazing. I mean, when you think about four days. >> Yeah. >> And when we talked on virtually last year, this year, I can't remember now. You said, we'll just try it. >> David: That's right. >> And see what happens, so I presume a lot of people have tried it. >> Well, that's my advice. It's the unknown, it's the what will it take? So take a single engineer, tell them and give them a time. Say you have one week, get this running on Graviton2, and I think the results are pretty amazing, very surprised. >> We were one of the first, if not the first to say that Arm is going to be dominant in the enterprise. We know it's dominant in the Edge. And when you look at the performance curves and the time to tape out, it's just astounding. And I don't know if people appreciate that relative to the traditional Moore's law curve. I mean, it's a style. And then when you combine the power of the CPU, the GPU, the NPU, kind of what Apple does in the iPhone, it blows away the historical performance curves. And you're on that curve. >> That's right. >> I wonder if you could sort of explain that. >> So with Graviton, we're optimizing just across every single part of AWS. So one of the nice things is we actually own that end-to-end. So when it starts with the early design of Graviton2 and Graviton3, and we obviously working on other chips right now. We're actually using the cloud to do all of the electronic design automation. So we're able to test with AWS how that Graviton3 chip is going to work long before we've even started taping it out. And so those workloads are running on high-frequency CPU's on Graviton. Actually we're using Graviton to build Graviton now in the cloud. The other thing we're doing is we're making sure that the Annapurna team that's building those CPUs is deeply engaged with my team and we're going to ultimately go and build those instances so that when that chip arrives from tapeout. I'm not waiting nine months or two years, like would normally be the case, but I actually had an instance up and running within a week or two on somebody's desk studying to do the integration. And that's something we've optimized significantly to get done. And so it allows us to get that iteration time. It also allows us to be very, very accurate with our tapeouts. We're not having to go back with Graviton. They're all A1 chips. We're not having to go back and do multiple runs of these things because we can do so much validation and performance testing in the cloud ahead of time. >> This is the epiphany of the Arm model. >> It really is. >> It's a standard. When you send it to the fab, they know what's going to work. You hit volume and it's just no fab. >> Well, this is a great thread. We'll stay on this 'cause Adam told us when we met with them for re:Invent that they're seeing a lot more visibility into use cases at the scale. So the scale gives you an advantage on what instances might work. >> And makes the economics works. >> Makes the economics work, hence the timing, the shrinking time to market, not there, but also for the apps. Talk about the scale advantage you guys have. >> Absolutely. I mean, the scale advantage of AWS plays out in a number of ways for our customers. The first thing is being able to deliver highly optimized hardware. So we don't just look at the Graviton3 CPU, you were speaking about the core count and the frequency and Peter spoke about a lot of that in his keynote yesterday. But we look at how does the Graviton3 CPU work with the rest of the instance. What is the right balance between the CPU and memory? The CPU and the Hydro. What's the performance and the drive? We just launched the Nitro SSD, which is now we've actually building our own custom SSDs for Nitro getting better performance, being able to do updates, better security, making it more cloudy. We're just saying, we've been challenged with the SSD in the parts. The other place that scales really helping is in capacity. Being able to make sure that we can absorb things like the COVID spike, or the stuff you see in the financial industry with just enormous demand for compute. We can do that because of our scale. We are able to scale. And the final area is actually in quality because I have such an enormous fleet. I'm actually able to drive down AFR. So annual failure rates, are we well below what the mathematical theoretical tenant or possibility is? So if you look at what's put on that actual sticker on the box that says you should be able to get a full percent AFR. At scale and with focus, we're actually able to get that down to significantly below what the mathematical entitlement was actually be. >> Yeah, it's incredible. I've got a great, and this is the advantage, and that's why I believe anyone who's writing applications that has includes a database, data transfer, any kind of execution of code will use the stack. >> Why would they? Really, why? We've seen this, like you said before, whether it was PC, then the fastest Pentium or somebody. >> Why would you want your app to run slower? >> Unix box, right? ISVS want it to run as fast and as cheaply as possible. Now power plays into it as well. >> Yeah, well, we do have, I agree with what you're saying. We do have a number of customers that are still looking to run on x86, but obviously customers that want windows. Windows isn't available for Arm and so that's a challenge. They'll continue to do that. And you know the way we do look at it is most law kind of died out on us in 2002, 2003. And what I'm hoping is, not necessarily bringing wars a little back, but then we say, let's not accept the 10%, 15% improvement year-over-year. There's absolutely more we can all be doing. And so I'm excited to see where the x86 world's going and they doing a lot of great stuff. Intel Ice Lakes looking amazing. Milan is really great to have an AWS as well. >> Well, I'm thinking it's fair point 'cause we certainly look what Pat's doing it at Intel and he's remaking the company. I've said he's going to follow on the Arm playbook in my mind a little bit, and which is the right thing to do. So competition is a good thing. >> David: Absolutely. >> We're excited for you and a great to see Graviton and you guys have this kind of inflection point. We've been tracking for a while, but now the world's starting to see it. So congratulations to your team. >> David: Thank you. >> Just a couple of things. You guys have some news on instances. Talk about the deprecation issue and how you guys are keeping instances alive real quick. >> Yeah, we're super customer obsessed at Amazon. And so that really drives us. And one of the worst things for us to do is to have to tell a customer that we no longer supporting a service. We recently actually just deprecated the ECG classic network. I'm not sure if you saw that and that's actually off the 10 years of continuing to support it. And the only reason we did it is we have a tiny percentage of customers still using that from back in 2012. But one of the challenges is obviously instance hardware eventually will ultimately time out and fail and have hardware issues as it gets older and older. And so we didn't want to be in a place, in EC2, where we would have to constantly go to customers and say that M1 small, that C3, whatever you were running, it's no longer supported, please move. That's just a text that customers shouldn't have to do. And if they still getting value out of an older instance, let them keep using it. So we actually just announced at re:Invent, in my keynote on Tuesday, the longevity support for EC2 instances, which means we will never come back to you again and ask you to please get off an instance, because we can actually emulate all those instances on our Nitro system. And so all of these instances are starting to migrate to Nitro. You're getting all the benefits of Nitro for now some of our older zen instances, but also you don't have to worry about that work. That's just not something you need to do to get off in all the instance. >> That's great. That's a great test service. Stay on as long as you want. When you're ready to move, move. Okay, final question for you. I know we've got time, I want to get this in. The global network, you guys are known for AWS cloud WAN serve. Gives you updates on what's going on with that. >> So Werner just announced that in his keynote and over the last two to three years or so, we've seen a lot of customers starting to use the AWS backbone, which is extensive. I mean, you've seen the slides in Werner's keynote. It really does span the world. I think it's probably one of the largest networks out there. Customers starting to use that for actually their branch office communication. So instead of going and provisioning the own international MPLS networks and that sort of thing, they say, let me onboard to AWS with VPN or direct connect, and I can actually run the AWS backbone around the world. Now doing that actually has some complexity. You got to think about transit gateways. You got to think about those inter-region peering. And AWS cloud when takes all of that complexity away, you essentially create a cloud WAN, connecting to it to VPN or direct connect, and you can even go and actually set up network segments. So essentially VLANs for different parts of the organization. So super excited to get out that out of there. >> So the ease of use is the key there. >> Massively easy to use. and we have 26 SD-WAN partners. We even partnering with folks like Verizon and Swisscom in Switzerland to telco to actually allow them to use it for their customers as well. >> We'll probably use your service someday when we have a global rollout date. >> Let's do that, CUBE Global. And then the other was the M1 EC2 instance, which got a lot of applause. >> David: Absolutely. >> M1, I think it was based on A15. >> Yeah, that's for Mac. We've got to be careful 'cause M1 is our first instance as well. >> Yeah right, it's a little confusion there. >> So it's a Mac. The EC2 Mac is with M1 silicon from Apple, which super excited to put out there. >> Awesome. >> David Brown, great to see you in person. Congratulations to you and the team and all the work you guys have done over the years. And now that people starting to realize the cloud platform, the compute just gets better and better. It's a key part of the system. >> Thanks John, it's great to be here. >> Thanks for sharing. >> The SiliconANGLE is here. We're talking about custom silicon here on AWS. I'm John Furrier with Dave Vellante. You're watching theCUBE. The global leader in tech coverage. We'll be right back with more covers from re:Invent after this break. (bright music)

>> Announcer: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCUBE Conversation. >> Everyone welcome back to our CUBE virtual coverage of AWS Summit Online, also a virtual event. I'm John Fourier, host of theCUBE. We're here in our studios in Palo Alto with our quarantine crew, for the past two and a half months, continuing to keep theCUBE rolling, keeping the lights on, talking to everyone that's out there, also covering the top events. AWS Summit, theCUBE can't be there, the event's not happening. We're happening virtually. Got a great guest here, Herain Oberoi, Director of product marketing, database analytics blockchain, he understands data, understands infrastructure. Great to see you again, thanks for coming on. Virtual CUBE! >> Thanks for having us, and this is a cool way to do it. >> Yeah, you know, now there's no excuse when I hit you up on LinkedIn, we're going to do a video. Lot more to do. Anyway, all seriousness. It's a tough time. At-scale problems are here, we're seeing more and more things going on at the Summit here, Kendra general availability, general availability of the ultra warm for Amazon elastic search on a non-augmented AI, a lot of the GAs are coming from reinvents, so a lot of the cadence of AWS, are happening now. You're involved in the elastic search, the ultra warm. This kind of gets to the role of data, warm data, cold data, hot data. This is a big part of the machine learning. Can you give it set up for why this is getting so popular, what's the big deal here? >> Absolutely, yeah. So I'll start off by just setting some context on elastic search itself, and why it's gotten so popular more recently. So, you know, we talk about data, and having to grow exponentially over a long period of time, and it's because, you know, so many people are now building apps in the cloud using Microsoft's architectures and the amount of log data that's being generated by these applications is being used to monitor and assess the operational performance of these systems, and so a lot of customers are moving to elastic search service, because it allows customers to collect and analyze and visualize all of this unstructured and semi-structured log data, this machine-generated log data, in order to look at how the applications are doing. And so, elastic search service is sort of the fully-managed cloud version of the plastic search, that allows customers to run elastic search in a fully-managed way, which means I'm not spending time doing configuration and setup, or, you know, figuring out scalability for my clusters, I can focus more on actually analyzing the data itself. So that's kind of just a little bit of what elastic search is, and so what's been going on, is as customers have been using elastic search, the amount of data that they want to be able to analyze is increasing, and so one of the one of the challenges is that elastic search, the file format itself is really optimized for search so it makes it really quick and interactive. But it's not optimized for storage, and so it's somewhat inefficient for storage and so what customers end up doing, is they want store months of operational data, it's actually hundreds of terabytes, and so what happens is it becomes expensive, and customers either start to store that in archives, or they don't store it at all. And so, if you store in our archives now, you've got DevOps engineers and no security experts that have to spend days to restore that data from the archive like an ordnance, to sort of search and analyze that data. And so what ultra warm does, is it's a new high-performance, low-cost, warm storage, or elastic search service. And this allows customers to store up to three petabytes of data, at about a tenth of the cost of existing options. And so, it gives customers the ability to now store months of data for interactive analysis than they could before. >> That's a great description, thanks for sharing that. I think one of the things that I've been seeing is a trend kind of old guard mentality was "hey here's some storage, "you're going to pay for it "oh let's do some tearing, and pay for that," and then that's cool, but then as you get more and more data, when you said the log file's an unstructured data, you need to use that not only to store it, but you use it in the applications. the data is actually part of the user experience, right, so, I think that's where I see it now. What you're saying is that in the old model, or even the cloud model was getting costly, because they were storing the data, cause they needed low latency. So, is warm implying lower latency, faster access to data, as well? So I get the pricing thing, so it's the lower cost, we'll get to that in a second, but is it a speed issue around access to data? >> Yeah, so ultra warm, so that gives you the best of both. So it's like I said, you know, it's optimized for search, so you can get that fast interactive query and visualization of the data, but it's not optimized for storage. so with ultra warm, you now have a warm storage sphere that's sort of optimized for both, you can actually still get that interactive query and visualization capability that you would expect from elastic search, but you can do it at lower cost, in a much larger amount of data. >> What are you talking about in terms of order magnitude here? Give us a taste for the warm cost structure, versus the alternative. >> Yeah, so it's roughly about 80% lower than warm tier storage from other in a managed elastic search services and you'll get about 50% faster query execution. And so, that's enough for customers to be able to get that interactivity they want from that elastic search experience that they're looking for. >> That's pretty significant numbers there, that just comes from the Amazon architecture, Nitro. What's the secret sauce on all this? >> So ultra warm, effectively it's a distributed cache and it's a distributed cache for more frequently accessed data. So what it does is, it uses these advanced placement techniques to determine specifically which blocks of data are going to be accessed less frequently, and it moves those outside of the cache into S3, that's low cost storage, and then for the more frequently accessed blocks, it'll keep that in the cache, you can get that interactivity, so it's effectively doing really really smart caching, on really large volumes of data, directly inside an elastic search service itself. >> And the value for me as the customer, is what, I've got acts better integration, for data intelligence into the app is it a machine-learning? I mean, it's a multitude problem. >> You can now do operational analytics and log analytics on a longer period of time than you would at a much, much lower cost and so if I'm a firm that's doing analysis of my security logs, and I'm only able to do it cost-effectively, by looking at my security logs for the past week, I can now cost-effectively do that same analysis by looking at the security logs for the past month, and that might actually give me the ability to identify new trends and new patterns, that I wouldn't have seen. >> So more usable actual data, for the same price it was before, just in a scale, so more scale for data, making it usable with the application. >> Yeah, more scale, at lower cost. >> More scale. (laughing) It sounds like the Amazon formula. All right, so what's the most important thing to take away from this? Cost structure, scale, anything else that we should know about around ultra warm for elastic search? >> Yeah, I mean the biggest thing it's how your analysis changes, you can now go from storing just kind of a few days, maybe weeks, worth of operational data, to months of operational data, at really low cost. And so, without the warm now, you can now use elastic search, so this, for a broader set of use cases as well. >> Talk about the impact in Europe, I'm going to put it put you on the spot here, for a second, around this new reality right, we're in an at-scale crisis. You guys in Amazon are under a lot of pressure to deliver, I talked with the folks from the EC2 group, Matt Garmin came on as well, David Brown, you guys deliver in massive capacity with compute, I got to imagine, there's going to be a data opportunity to kind of have more data lakes, I saw the Kendra news general availability, augmented AI, so data will be killer here, feature for the future. This has to be more ubiquitous, in terms of capability. What's your vision on this, post-pandemic, and how do companies reset and reinvent, to take advantage of that, so that their outcomes are on the up slope, post-pandemic, when it's still going to be a quasi-work at home, more teams are going to be distributed, it's a virtualization model, and media, and life, I mean, we're going to be virtualized. >> Yeah, I think you know, like everything we do, when you think about roadmap, it all starts and stems from working backwards, from what our customers are looking for. And given the environment now, more than ever, moving to the cloud is helping customers you know, lower cost, be more agile, scale up, scale down, more effectively. And so, it's actually accelerating the need for customers to start to use a lot of data analytics services in the cloud, as well. And as customers continue to look at ways to analyze the applications, and how they're running, and how to scale the applications, they're going to use a lot of our data and analytics services as well. And so, continuing to find ways to give customers better performance, better service and applying at lower cost, will continue to be what we focus on, and we're certainly having those conversations with customers today. >> And what's your advice to app developers out there, and developers who are really going to be in the front lines. The workloads are going to look differently, they're going to have more video, more data, there's going to be more cloud native, more micro-services, as you pointed out. So, how should developers leverage and build great products? What's your best practice? >> I again I think for developers, just like for us, building great product starts with working backwards, from the customer. It's really listening to what are the customer paying points that you're solving, how are you going to solve it in a way that's unique and different, better than how it's been solved today, and then being able to run that in an operationally efficient way, that's going to provide a high quality of service, in terms of performance, in terms of availability, and in terms of cost. All of those things continue to hold true. And, you know, our job is to give developers the tools that they need to help them to do that. >> Well, what else is new with you? How you you doing out there, you got cabin fever yet? I mean you got all the tools with Amazon, everyone kind of seems like they're in okay mood, how are you doing? >> Yeah, no, we're doing good. you know I'm here with my family, I have two kids who are doing some version of remote schooling, so juggling time with the kids and balancing that with commitments at work. But, you know, here at Amazon, we're kind of very focused on continuing to help customers as they go through this challenging time, and so, I think, getting the teams aligned on, you know, what can we do to help, and getting our teams involved in finding new ways to give customers what they need is the ongoing focus. And, you know, we recently released a data leak that's got a lot of information around the whole Covid-19 data sets that are publicly available, and we're trying to see customers use that, in particular around the public health space, to do analysis on that data as well. >> A lot of AWS goodness, you guys are doing a lot of tech for good there, congratulations. Thanks for coming on and sharing the insights, stay safe, everyone's got cabin fever. Certainly if you've got kids, I have four, you know how hard it is. So stay safe and we'll see you soon, and we'll be remote from now. CUBE Virtual here with AWS Summit 2020, online virtual. I'm John Fourier, thanks for watching. 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