>> And I'm here at Dell's Presence at MWC with vice president of marketing for telecom and Edge Computing, Aaron Chaisson. Aaron, how's it going? >> Doing great. How's it going today, Dave? >> It's going pretty well. Pretty excited about what you've got going here and I'm looking forward to getting the tour. You ready to take a closer look? >> Ready to do it. Let's go take a look! For us in the telecom ecosystem, it's really all about how we bring together the different players that are innovating across the industry to drive value for our CSP customers. So, it starts really, for us, at the ecosystem layer, bringing partners, bringing telecommunication providers, bringing (stutters) a bunch of different technologies together to innovate together to drive new value. So Paul, take us a little bit through what we're doing to- to develop and bring in these partnerships and develop our ecosystem. >> Uh, sure. Thank you Aaron. Uh, you know, one of the things that we've been focusing on, you know, Dell is really working with many players in the open telecom ecosystem. Network equipment providers, independent software vendors, and the communication service providers. And, you know, through our lines of business or open telecom ecosystem labs, what we want to do is bring 'em together into a community with the goal of really being able to accelerate open innovation and, uh, open solutions into the market. And that's what this community is really about, is being able to, you know, have those communications, develop those collaborations whether it's through, you know, sharing information online, having webinars dedicated to sharing Dell information, whether it's our next generation hardware portfolio we announced here at the show, our use case directory, our- how we're dealing with new service opportunities, but as well as the community to share, too, which I think is an exciting way for us to be able to, you know- what is the knowledge thing? As well as activities at other events that we have coming up. So really the key thing I think about, the- the open telecom ecosystem community, it's collaboration and accelerating the open industry forward. >> So- So Aaron, if I'm hearing this correctly you're saying that you can't just say, "Hey, we're open", and throw a bunch of parts in a box and have it work? >> No, we've got to work together to integrate these pieces to be able to deliver value, and, you know, we opened up a- (stutters) in our open ecosystem labs, we started a- a self-certification process a couple of months back. We've already had 13 partners go through that, we've got 16 more in the pipeline. Everything you see in this entire booth has been innovated and worked with partnerships from Intel to Microsoft to, uh, to (stutters) Wind River and Red Hat and others. You go all the way around the booth, everything here has partnerships at its core. And why don't we go to the next section here where we're going to be showing how we're pulling that all together in our open ecosystems labs to drive that innovation? >> So Aaron, you talked about the kinds of validation and testing that goes on, so that you can prove out an open stack to deliver the same kinds of reliability and performance and availability that we expect from a wireless network. But in the opens- in the open world, uh, what are we looking at here? >> Yeah absolutely. So one of the- one of the challenges to a very big, broad open ecosystem is the complexity of integrating, deploying, and managing these, especially at telecom scale. You're not talking about thousands of servers in one site, you're talking about one server in thousands of sites. So how do you deploy that predictable stack and then also manage that at scale? I'm going to show you two places where we're talkin' about that. So, this is actually representing an area that we've been innovating in recently around creating an integrated infrastructure and virtualization stack for the telecom industry. We've been doing this for years in IT with VxBlocks and VxRails and others. Here what you see is we got, uh, Dell hardware infrastructure, we've got, uh, an open platform for virtualization providers, in this case we've created an infrastructure block for Red Hat to be able to supply an infrastructure for core operations and Packet Cores for telecoms. On the other side of this, you can actually see what we're doing with Wind River to drive innovation around RAN and being able to simplify RAN- vRAN and O-RAN deployments. >> What does that virtualization look like? Are we talking about, uh, traditional virtual machines with OSs, or is this containerized cloud native? What does it look like? >> Yeah, it's actually both, so it can support, uh, virtual, uh-uh, software as well as containerized software, so we leverage the (indistinct) distributions for these to be able to deploy, you know, cloud native applications, be able to modernize how they're deploying these applications across the telecom network. So in this case with Red Hat, uh, (stutters) leveraging OpenShift in order to support containerized apps in your Packet Core environments. >> So what are- what are some of the kinds of things that you can do once you have infrastructure like this deployed? >> Yeah, I mean by- by partnering broadly across the ecosystem with VMware, with Red Hat, uh, with- with Wind River and with others, it gives them the ability to be able to deploy the right virtualization software in their network for the types of applications they're deploying. They might want to use Red Hat in their core, they may want to use Wind River in their RAM, they may want to use, uh, Microsoft or VMware for their- for their Edge workloads, and we allow them to be able to deploy all those, but centrally manage those with a common user interface and a common set of APIs. >> Okay, well I'm dying to understand the link between this and the Lego city that the viewers can't see, yet, but it's behind me. Let's take a look. >> So let's take a look at the Lego city that shows how we not deploy just one of these, but dozens or hundreds of these at scale across a cityscape. >> So Aaron, I know we're not in Copenhagen. What's all the Lego about? >> Yeah, so the Lego city here is to show- and, uh, really there's multiple points of Presence across an entire Metro area that we want to be able to manage if we're a telecom provider. We just talked about one infrastructure block. What if I wanted to deploy dozens of these across the city to be able to manage my network, to be able to manage, uh, uh- to be able to deploy private mobility potentially out into a customer enterprise environment, and be able to manage all of these, uh, very simply and easily from a common interface? >> So it's interesting. Now I think I understand why you are VP of marketing for both telecom and Edge. Just heard- just heard a lot about Edge and I can imagine a lot of internet of things, things, hooked up at that Edge. >> Yeah, so why don't we actually go over to another area? We're actually going to show you how one small microbrewery (stutters) in one of our cities nearby, uh, (stutters) my hometown in Massachusetts is actually using this technology to go from more of an analyzed- analog world to digitizing their business to be able to brew better beer. >> So Aaron, you bring me to a brewery. What do we have- what do we have going on here? >> Yeah, so, actually (stutters) about- about a year ago or so, I- I was able to get my team to come together finally after COVID to be able to meet each other and have a nice team event. One of those nights, we went out to dinner at a- at a brewery called "Exhibit 'A'" in Massachusetts, and they actually gave us a tour of their facilities and showed us how they actually go through the process of brewing beer. What we saw as we were going through it, interestingly, was that everything was analog. They literally had people with pen and paper walking around checking time and temperature and the process of brewing the beer, and they weren't asking for help, but we actually saw an opportunity where what we're doing to help businesses digitize what they're doing in their manufacturing floor can actually help them optimize how they build whatever product they're building, in this case it was beer. >> Hey Warren, good to meet you! What do we have goin' on? >> Yeah, it's all right. So yeah, basically what we did is we took some of their assets in the, uh, brewery that were completely manually monitored. People were literally walking around the floor with clipboards, writing down values. And we censorized the asset, in this case fermentation tanks and we measured the, uh, pressure and the temperature, which in fermentation are very key to monitor those, because if they get out of range the entire batch of beer can go bad or you don't get the consistency from batch to batch if you don't tightly monitor those. So we censorized the fermentation tank, brought that into an industrial I/O network, and then brought that into a Dell gateway which is connected 5G up to the cloud, which then that data comes to a tablet or a phone, which they, rather than being out on the floor and monitor it, can look at this data remotely at any time. >> So I'm not sure the exact date, the first time we have evidence of beer being brewed by humanity... >> Yep. >> But I know it's thousands of years ago. So it's taken that long to get to the point where someone had to come along, namely Dell, to actually digitally transform the beer business. Is this sort of proof that if you can digitally transform this, you can digitally transform anything? >> Absolutely. You name it, anything that's being manufactured, sold, uh, uh, taken care of, (stutters) any business out there that's looking to be able to be modernize and deliver better service to their customers can benefit from technologies like this. >> So we've taken a look at the ecosystem, the way that you validate architectures, we've seen an example of that kind of open architecture. Now we've seen a real world use case. Do you want to take a look a little deeper under the covers and see what's powering all of this? >> We just this week announced a new line of servers that power Edge and RAN use cases, and I want to introduce Mike to kind of take us through what we've been working on and really what the power of what this providing. >> Hey Mike, welcome to theCube. >> Oh, glad- glad to be here. So, what I'd really like to talk about are the three new XR series servers that we just announced last week and we're showing here at Mobile World Congress. They are all short depth, ruggedized, uh, very environmentally tolerant, and able to withstand, you know, high temperatures, high humidities, and really be deployed to places where traditional data center servers just can't handle, you know, due to one fact or another, whether it's depth or the temperature. And so, the first one I'd like to show you is the XR7620. This is, uh, 450 millimeters deep, it's designed for, uh, high levels of acceleration so it can support up to 2-300 watt, uh, GPUs. But what I really want to show you over here, especially for Mobile World Congress, is our new XR8000. The XR8000 is based on Intel's latest Sapphire Rapids technology, and this is- happens to be one of the first, uh, EE boost processors that is out, and basically what it is (stutters) an embedded accelerator that makes, uh, the- the processing of vRAN loads very, uh, very efficient. And so they're actually projecting a, uh, 3x improvement, uh, of processing per watt over the previous generation of processors. This particular unit is also sledded. It's very much like, uh, today's traditional baseband unit, so it's something that is designed for low TCO and easy maintenance in the field. This is the frew. When anything fails, you'll pull one out, you pop a new one in, it comes back into service, and the- the, uh, you know, your radio is- is, uh, minimally disrupted. >> Yeah, would you describe this as quantitative and qualitative in terms of the kinds of performance gains that these underlying units are delivering to us? I mean, this really kind of changes the game, doesn't it? It's not just about more, is it about different also in terms of what we can do? >> Well we are (stutters) to his point, we are able to bring in new accelerator technologies. Not only are we doing it with the Intel, uh, uh, uh, of the vRAN boost technologies, but also (stutters) we can bring it, too, but there's another booth here where we're actually working with our own accelerator cards and other accelerator cards from our partners across the industry to be able to deliver the price and performance capabilities required by a vRAN or an O-RAN deployment in the network. So it's not- it's not just the chip technology, it's the integration and the innovation we're doing with others, as well as, of course, the unique power cooling capabilities that Dell provides in our servers that really makes these the most efficient way of being able to power a network. >> Any final thoughts recapping the whole picture here? >> Yeah, I mean I would just say if anybody's, uh, i- is still here in Mobile World Congress, wants to come and learn what we're doing, I only showed you a small section of the demos we've got here. We've got 13 demos across on 8th floor here. Uh, for those of you who want to talk to us (stutters) and have meetings with us, we've got 13 meeting rooms back there, over 500 costumer partner meetings this week, we've got some whisper suites for those of you who want to come and talk to us but we're innovating on going forward. So, you know, there's a lot that we're doing, we're really excited, there's a ton of passion at this event, and, uh, we're really excited about where the industry is going and our role in it. >> 'Preciate the tour, Aaron. Thanks Mike. >> Mike: Thank you! >> Well, for theCube... Again, Dave Nicholson here. Thanks for joining us on this tour of Dell's Presence here at MWC 2023.

foreign welcome back to re invent 2022 we're wrapping up four days well one evening and three solid days wall-to-wall of cube coverage I'm Dave vellante John furrier's birthday is today he's on a plane to London to go see his nephew get married his his great Sister Janet awesome family the furriers uh spanning the globe and uh and John I know you wanted to be here you're watching in Newark or you were waiting to uh to get in the plane so all the best to you happy birthday one year the Amazon PR people brought a cake out to celebrate John's birthday because he's always here at AWS re invented his birthday so I'm really pleased to have two really special guests uh former Cube host Cube Alum great wikibon contributor Stu miniman now with red hat still good to see you again great to be here Dave yeah I was here for that cake uh the twitterverse uh was uh really helping to celebrate John's birthday today and uh you know always great to be here with you and then with this you know Awesome event this week and friend of the cube of many time Cube often Cube contributor as here's a cube analyst this week as his own consultancy sarbj johal great to see you thanks for coming on good to see you Dave uh great to see you stu I'm always happy to participate in these discussions and um I enjoy the discussion every time so this is kind of cool because you know usually the last day is a getaway day and this is a getaway day but this place is still packed I mean it's I mean yeah it's definitely lighter you can at least walk and not get slammed but I subjit I'm going to start with you I I wanted to have you as the the tail end here because cause you participated in the analyst sessions you've been watching this event from from the first moment and now you've got four days of the Kool-Aid injection but you're also talking to customers developers Partners the ecosystem where do you want to go what's your big takeaways I think big takeaways that Amazon sort of innovation machine is chugging along they are I was listening to some of the accessions and when I was back to my room at nine so they're filling the holes in some areas but in some areas they're moving forward there's a lot to fix still it doesn't seem like that it seems like we are done with the cloud or The Innovation is done now we are building at the millisecond level so where do you go next there's a lot of room to grow on the storage side on the network side uh the improvements we need and and also making sure that the software which is you know which fits the hardware like there's a specialized software um sorry specialized hardware for certain software you know so there was a lot of talk around that and I attended some of those sessions where I asked the questions around like we have a specialized database for each kind of workload specialized processes processors for each kind of workload yeah the graviton section and actually the the one interesting before I forget that the arbitration was I asked that like why there are so many so many databases and IRS for the egress costs and all that stuff can you are you guys thinking about reducing that you know um the answer was no egress cost is not a big big sort of uh um show stopper for many of the customers but but the from all that sort of little discussion with with the folks sitting who build these products over there was that the plethora of choice is given to the customers to to make them feel that there's no vendor lock-in so if you are using some open source you know um soft software it can be on the you know platform side or can be database side you have database site you have that option at AWS so this is a lot there because I always thought that that AWS is the mother of all lock-ins but it's got an ecosystem and we're going to talk about exactly we'll talk about Stu what's working within AWS when you talk to customers and where are the challenges yeah I I got a comment on open source Dave of course there because I mean look we criticized to Amazon for years about their lack of contribution they've gotten better they're doing more in open source but is Amazon the mother of all lock-ins many times absolutely there's certain people inside Amazon I'm saying you know many of us talk Cloud native they're like well let's do Amazon native which means you're like full stack is things from Amazon and do things the way that we want to do things and you know I talk to a lot of customers they use more than one Cloud Dave and therefore certain things absolutely I want to Leverage The Innovation that Amazon has brought I do think we're past building all the main building blocks in many ways we are like in day two yes Amazon is fanatically customer focused and will always stay that way but you know there wasn't anything that jumped out at me last year or this year that was like Wow new category whole new way of thinking about something we're in a vocals last year Dave said you know we have over 200 services and if we listen to you the customer we'd have over two thousand his session this week actually got some great buzz from my friends in the serverless ecosystem they love some of the things tying together we're using data the next flywheel that we're going to see for the next 10 years Amazon's at the center of the cloud ecosystem in the IT world so you know there's a lot of good things here and to your point Dave the ecosystem one of the things I always look at is you know was there a booth that they're all going to be crying in their beer after Amazon made an announcement there was not a tech vendor that I saw this week that was like oh gosh there was an announcement and all of a sudden our business is gone where I did hear some rumbling is Amazon might be the next GSI to really move forward and we've seen all the gsis pushing really deep into supporting Cloud bringing workloads to the cloud and there's a little bit of rumbling as to that balance between what Amazon will do and their uh their go to market so a couple things so I think I think we all agree that a lot of the the announcements here today were taping seams right I call it and as it relates to the mother of all lock-in the reason why I say that it's it's obviously very much a pejorative compare Oracle company you know really well with Amazon's lock-in for Amazon's lock-in is about bringing this ecosystem together so that you actually have Choice Within the the house so you don't have to leave you know there's a there's a lot to eat at the table yeah you look at oracle's ecosystem it's like yeah you know oracle is oracle's ecosystem so so that is how I think they do lock in customers by incenting them not to leave because there's so much Choice Dave I agree with you a thousand I mean I'm here I'm a I'm a good partner of AWS and all of the partners here want to be successful with Amazon and Amazon is open to that it's not our way or get out which Oracle tries how much do you extract from the overall I.T budget you know are you a YouTube where you give the people that help you create a large sum of the money YouTube hasn't been all that profitable Amazon I think is doing a good balance of the ecosystem makes money you know we used to talk Dave about you know how much dollars does VMware make versus there um I think you know Amazon is a much bigger you know VMware 2.0 we used to think talk about all the time that VMware for every dollar spent on VMware licenses 15 or or 12 or 20 were spent in the ecosystem I would think the ratio is even higher here sarbji and an Oracle I would say it's I don't know yeah actually 1 to 0.5 maybe I don't know but I want to pick on your discussion about the the ecosystem the the partner ecosystem is so it's it's robust strong because it's wider I was I was not saying that there's no lock-in with with Amazon right AWS there's lock-in there's lock-in with everything there's lock-in with open source as well but but the point is that they're they're the the circle is so big you don't feel like locked in but they're playing smart as well they're bringing in the software the the platforms from the open source they're picking up those packages and saying we'll bring it in and cater that to you through AWS make it better perform better and also throw in their custom chips on top of that hey this MySQL runs better here so like what do you do I said oh Oracle because it's oracle's product if you will right so they are I think think they're filing or not slenders from their go to market strategy from their engineering and they listen to they're listening to customers like very closely and that has sort of side effects as well listening to customers creates a sprawl of services they have so many services and I criticized them last year for calling everything a new service I said don't call it a new service it's a feature of a existing service sure a lot of features a lot of features this is egress our egress costs a real problem or is it just the the on-prem guys picking at the the scab I mean what do you hear from customers so I mean Dave you know I I look at what Corey Quinn talks about all the time and Amazon charges on that are more expensive than any other Cloud the cloud providers and partly because Amazon is you know probably not a word they'd use they are dominant when it comes to the infrastructure space and therefore they do want to make it a little bit harder to do that they can get away with it um because um yeah you know we've seen some of the cloud providers have special Partnerships where you can actually you know leave and you're not going to be charged and Amazon they've been a little bit more flexible but absolutely I've heard customers say that they wish some good tunning and tongue-in-cheek stuff what else you got we lay it on us so do our players okay this year I think the focus was on the upside it's shifting gradually this was more focused on offside there were less talk of of developers from the main stage from from all sort of quadrants if you will from all Keynotes right so even Werner this morning he had a little bit for he was talking about he he was talking he he's job is to Rally up the builders right yeah so he talks about the go build right AWS pipes I thought was kind of cool then I said like I'm making glue easier I thought that was good you know I know some folks don't use that I I couldn't attend the whole session but but I heard in between right so it is really adopt or die you know I am Cloud Pro for last you know 10 years and I think it's the best model for a technology consumption right um because of economies of scale but more importantly because of division of labor because of specialization because you can't afford to hire the best security people the best you know the arm chip designers uh you can't you know there's one actually I came up with a bumper sticker you guys talked about bumper sticker I came up with that like last couple of weeks The Innovation favorite scale they have scale they have Innovation so that's where the Innovation is and it's it's not there again they actually say the market sets the price Market you as a customer don't set the price the vendor doesn't set the price Market sets the price so if somebody's complaining about their margins or egress and all that I think that's BS um yeah I I have a few more notes on the the partner if you you concur yeah Dave you know with just coming back to some of this commentary about like can Amazon actually enable something we used to call like Community clouds uh your companies like you know Goldman and NASDAQ and the like where Industries will actually be able to share data uh and you know expand the usage and you know Amazon's going to help drive that API economy forward some so it's good to see those things because you know we all know you know all of us are smarter than just any uh single company together so again some of that's open source but some of that is you know I think Amazon is is you know allowing Innovation to thrive I think the word you're looking for is super cloud there well yeah I mean it it's uh Dave if you want to go there with the super cloud because you know there's a metaphor for exactly what you described NASDAQ Goldman Sachs we you know and and you know a number of other companies that are few weeks at the Berkeley Sky Computing paper yeah you know that's a former supercloud Dave Linthicum calls it metacloud I'm not really careful I mean you know I go back to the the challenge we've been you know working at for a decade is the distributed architecture you know if you talk about AI architectures you know what lives in the cloud what lives at the edge where do we train things where do we do inferences um locations should matter a lot less Amazon you know I I didn't hear a lot about it this show but when they came out with like local zones and oh my gosh out you know all the things that Amazon is building to push out to the edge and also enabling that technology and software and the partner ecosystem helps expand that and Pull It in it's no longer you know Dave it was Hotel California all of the data eventually is going to end up in the public cloud and lock it in it's like I don't think that's going to be the case we know that there will be so much data out at the edge Amazon absolutely is super important um there some of those examples we're giving it's not necessarily multi-cloud but there's collaboration happening like in the healthcare world you know universities and hospitals can all share what they're doing uh regardless of you know where they live well Stephen Armstrong in the analyst session did say that you know we're going to talk about multi-cloud we're not going to lead with it necessarily but we are going to actually talk about it and that's different to your points too than in the fullness of time all the data will be in the cloud that's a new narrative but go ahead yeah actually Amazon is a leader in the cloud so if they push the cloud even if they don't say AWS or Amazon with it they benefit from it right and and the narrative is that way there's the proof is there right so again Innovation favorite scale there are chips which are being made for high scale their software being tweaked for high scale you as a Bank of America or for the Chrysler as a typical Enterprise you cannot afford to do those things in-house what cloud providers can I'm not saying just AWS Google cloud is there Azure guys are there and few others who are behind them and and you guys are there as well so IBM has IBM by the way congratulations to your red hat I know but IBM won the award um right you know very good partner and yeah but yeah people are dragging their feet people usually do on the change and they are in denial denial they they drag their feet and they came in IBM director feed the cave Den Dell drag their feed the cave in yeah you mean by Dragon vs cloud deniers cloud deniers right so server Huggers I call them but they they actually are sitting in Amazon Cloud Marketplace everybody is buying stuff from there the marketplace is the new model OKAY Amazon created the marketplace for b2c they are leading the marketplace of B2B as well on the technology side and other people are copying it so there are multiple marketplaces now so now actually it's like if you're in in a mobile app development there are two main platforms Android and Apple you first write the application for Apple right then for Android hex same here as a technology provider as and I I and and I actually you put your stuff to AWS first then you go anywhere else yeah they are later yeah the Enterprise app store is what we've wanted for a long time the question is is Amazon alone the Enterprise app store or are they partner of a of a larger portfolio because there's a lot of SAS companies out there uh that that play into yeah what we need well and this is what you're talking about the future but I just want to make a point about the past you talking about dragging their feet because the Cube's been following this and Stu you remember this in 2013 IBM actually you know got in a big fight with with Amazon over the CIA deal you know and it all became public judge wheeler eviscerated you know IBM and it ended up IBM ended up buying you know soft layer and then we know what happened there and it Joe Tucci thought the cloud was Mosey right so it's just amazing to see we have booksellers you know VMware called them books I wasn't not all of them are like talking about how great Partnerships they are it's amazing like you said sub GC and IBM uh with the the GSI you know Partnership of the year but what you guys were just talking about was the future and that's what I wanted to get to is because you know Amazon's been leading the way I I was listening to Werner this morning and that just reminded me of back in the days when we used to listen to IBM educate us give us a master class on system design and decoupled systems and and IO and everything else now Amazon is you know the master educator and it got me thinking how long will that last you know will they go the way of you know the other you know incumbents will they be disrupted or will they you know keep innovating maybe it's going to take 10 or 20 years I don't know yeah I mean Dave you actually you did some research I believe it was a year or so ago yeah but what will stop Amazon and the one thing that worries me a little bit um is the two Pizza teams when you have over 202 Pizza teams the amount of things that each one of those groups needs to take care of was more than any human could take care of people burn out they run out of people how many amazonians only last two or three years and then leave because it is tough I bumped into plenty of friends of mine that have been you know six ten years at Amazon and love it but it is a tough culture and they are driving werner's keynote I thought did look to from a product standpoint you could say tape over some of the seams some of those solutions to bring Beyond just a single product and bring them together and leverage data so there are some signs that they might be able to get past some of those limitations but I still worry structurally culturally there could be some challenges for Amazon to keep the momentum going especially with the global economic impact that we are likely to see in the next year bring us home I think the future side like we could talk about the vendors all day right to serve the community out there I think we should talk about how what's the future of technology consumption from the consumer side so from the supplier side just a quick note I think the only danger AWS has has that that you know Fred's going after them you know too big you know like we will break you up and that can cause some disruption there other than that I think they they have some more steam to go for a few more years at least before we start thinking about like oh this thing is falling apart or anything like that so they have a lot more they have momentum and it's continuing so okay from the I think game is on retail by the way is going to get disrupted before AWS yeah go ahead from the buyer's side I think um the the future of the sort of Technology consumption is based on the paper uh use and they actually are turning all their services to uh they are sort of becoming serverless behind the scenes right all analytics service they had one service left they they did that this year so every service is serverless so that means you pay exactly for the amount you use the compute the iops the the storage so all these three layers of course Network we talked about the egress stuff and that's a problem there because of the network design mainly because Google has a flatter design and they have lower cost so so they are actually squeezing the their their designing this their services in a way that you don't waste any resources as a buyer so for example very simple example when early earlier In This Cloud you will get a VM right in Cloud that's how we started so and you can get 20 use 20 percent of the VM 80 is getting wasted that's not happening now that that has been reduced to the most extent so now your VM grows as you grow the usage and if you go higher than the tier you picked they will charge you otherwise they will not charge you extra so that's why there's still a lot of instances like many different types you have to pick one I think the future is that those instances will go away the the instance will be formed for you on the fly so that is the future serverless all right give us bumper sticker Stu and then Serb G I'll give you my quick one and then we'll wrap yeah so just Dave to play off of sharp G and to wrap it up you actually wrote about it on your preview post for here uh serverless we're talking about how developers think about things um and you know Amazon in many ways you know is the new default server uh you know for the cloud um and containerization fits into the whole serverless Paradigm uh it's the space that I live in uh you know every day here and you know I was happy to see the last few years serverless and containers there's a blurring a line and you know subject we're still going to see VMS for a long time yeah yeah we will see that so give us give us your book Instagram my number six is innovation favorite scale that's my bumper sticker and and Amazon has that but also I I want everybody else to like the viewers to take a look at the the Google Cloud as well as well as IBM with others like maybe you have a better price to Performance there for certain workloads and by the way one vendor cannot do it alone we know that for sure the market is so big there's a lot of room for uh Red Hats of the world and and and Microsoft's the world to innovate so keep an eye on them they we need the competition actually and that's why competition Will Keep Us to a place where Market sets the price one vendor doesn't so the only only danger is if if AWS is a monopoly then I will be worried I think ecosystems are the Hallmark of a great Cloud company and Amazon's got the the biggest and baddest ecosystem and I think the other thing to watch for is Industries building on top of the cloud you mentioned the Goldman Sachs NASDAQ Capital One and Warner media these all these industries are building their own clouds and that's where the real money is going to be made in the latter half of the 2020s all right we're a wrap this is Dave Valente I want to first of all thank thanks to our great sponsors AWS for for having us here this is our 10th year at the cube AMD you know sponsoring as well the the the cube here Accenture sponsor to third set upstairs upstairs on the fifth floor all the ecosystem partners that came on the cube this week and supported our mission for free content our content is always free we try to give more to the community and we we take back so go to thecube.net and you'll see all these videos go to siliconangle com for all the news wikibon.com I publish weekly a breaking analysis series I want to thank our amazing crew here you guys we have probably 30 35 people unbelievable our awesome last session John Walls uh Paul Gillen Lisa Martin Savannah Peterson John Furrier who's on a plane we appreciate Andrew and Leonard in our ear and all of our our crew Palo Alto Boston and across the country thank you so much really appreciate it all right we are a wrap AWS re invent 2022 we'll see you in two weeks we'll see you two weeks at Palo Alto ignite back here in Vegas thanks for watching thecube the leader in Enterprise and emerging Tech coverage [Music]

(upbeat music) >> Hello, fellow cloud nerds and welcome back to AWS re:Invent here in a beautiful sin city. We are theCUBE. My name is Savannah Peterson, joined by my dear colleague and co-host Paul Gillon. Paul, last segment. >> Good thing too. >> Of our first re:Invent. >> A good thing too 'cause I think you're going to lose your voice after this one. >> We are right on the line. (laughter) You can literally hear it struggling to come out right now. But that doesn't mean that the conversation we're going to have is not just as important as our first or our middle interview. Very excited to have Ganesh from Uptycs with us today. Ganesh, welcome to the show. >> Savannah and Paul, thank you for having me here. >> It's a pleasure. I can tell from your smile and your energy. You're like us, you've been having a great time. How has the show been for you so far? >> Tremendous. Two reasons. One, we've had great parties since Monday night. >> Yes. Love that. >> The turnout has been fantastic. >> You know, honestly you're the first guest to bring up the party side of this. But it is such, and obviously there's a self-indulgence component of that. But beyond the hedonism. It is a big part of the networking in the community. And I love that you had a whiskey tasting. Paul and I will definitely be at the next one that you have. In case folks aren't familiar. Give us the Uptycs pitch. >> So we are a Boston based venture. What we provide is cloud infrastructure security. I know if you raise your hand. >> Hot topic. >> Yeah, hot topic obviously in given where we are. But we have a unique way of providing visibility into workloads from inside the workload. As well as by connecting to the AWS control plane. We cover the entire Gartner acronym soup, they call it as CNAP. Which is cloud native application protection platform. That's what we do. >> Now you provide cloud infrastructure security. I thought the cloud providers did that. >> Cloud providers, they provide elements of it because they can only provide visibility from outside in. And if you were to take AWS as an example they give you only at an account level. If you want to do things at an organization where you might have a thousand accounts. You're left to fend to yourself. If you want to span other cloud service providers at the same time. Then you're left to fend to yourself. That's why technologies like us exist. Who can not only span across accounts but go across cloud and get visibility into your workload. >> Now we know that the leading cause of data loss in the cloud or breaches if you'll call them, is misconfiguration. Is that something that you address as well? >> Yes. If you were to look at the majority of the breaches they're due to two reasons. One, due to arguably what you can call as vulnerabilities, misconfigurations, and compliance related issues. Or the second part, things related to like behavioral nature. Which are due to threats. Which then result in like some kind of data loss. But misconfiguration is a top issue and it's called a cloud security posture management. Where once you scope and assess what's the extent of misconfigurations. Maybe there's a chance that you go quickly remediate it. >> So how do you address that? >> Oh, yeah. >> How does that work? So if you were to look at AWS and if you were to think of it as orchestration plane for your workload and services. They provide a API. And this API allows you to get visibility into what's your configuration looking like. And it also allows you to like figure out on an ongoing basis. If there are any changes to your configurations. And usually when you start with a baseline of configuration and as a passage of time. Is where misconfigurations come into play. By understanding the full stream of how it's been configured and how changes are occurring. You get the chance to like go remediate any kind of misconfigure and hence vulnerabilities from that. >> That was a great question Paul. And I'm sure, I mean people want to do that. 23 billion was invested in cybersecurity in 2021 alone, casual dollar amount. I can imagine cybersecurity is a top priority for all of your customers. Probably most of the people on the show floor. How quickly does that mean your team has to scale and adapt given how smart attacks and various things are getting on the dark side of things? >> Great question. The biggest bigger problem than what we are solving for scale is the shortage of people. There's the shortage of people who actually know. >> I was curious about that. Yeah. >> So a shortage of people who understand how to configure it. Let alone people who can secure it like with technology like ours, right? So if you go in that pecking order of pull. It's people and organizations like us exist. Such that at scale you can identify these changes. And help enable those people to quickly scope and assess what's wrong. And potentially help them remediate before it really goes out of control. (metal clinking) >> This is the so-called XDR part of your business, right? >> Yes. So there are two parts. One is around the notion of auditing and compliance and getting visibility. Like the first question that you asked around misconfiguration. And that's one part what we do from the control plane of the cloud. The second part is more behavioral in nature. It results from having visibility into the actual workload. For example, if there's been a misconfiguration. If it's been exploited. You then want to reduce the type well time to figure out like. What really is happening in case there's something potentially nefarious and malicious activity going on. That's the part where XDR (metal clinking) or CWPP comes into play where it's basically called as detection and response of cloud workload protection. >> And how is, it's a fairly new concept, XDR. How is the market taking to it? How popular is this with the customer? >> XDR is extremely popular. So much so that thanks to Gartner and other top analysts. It's become like a catchall for a whole bunch of things. So it's popularity is incredibly on the rise. However, there are elements of XDR the last two part detection and response. Which are like very crucial. X could stand for whatever it is it's extended version. As applied to cloud there's a bunch of things you can do as applied to like laptops. There's a bunch of things it can do. Where we fit into the equation is. Especially from a AWS or a cloud-centric perspective. If the crown jewels of software are developed on a laptop. And the journey of the software is from the laptop to the cloud. That's the arc that we protect. That's where we provide the visibility. >> Mm. >> Wow, that's impressive. So I imagine you get to see quite a few different trends. Working with different customers across the market. What do you think is coming next? How are you and your brilliant team adapting for an ever-changing space? (nails tapping) >> That's a great question. And this is what we are seeing especially with some of our large barrier customers. There's a notion of what's emerging what's called a security as infrastructure. >> Mm. >> Unlike security traditionally being like an operational spend. There's a notion investing in that. Look, if you're going to be procuring technology from AWS as infrastructure. What else will you do to secure it? And that's the notion that that's really taking off. >> Nice. >> You are an advocate of what you call shift up the shift up approach to security. I haven't heard that term before. What is shift? >> Me either. >> I sure have heard of shift left and shift right? >> Yes. >> But what is shift up? >> Great question. So for us, given the breadth of what's possible. And the scale at which one needs to do things. The traditional approach has been shift left where you try to get into like the developer side of laptops. Which is what we do. But if you were to look at it from the perspective that the scale at which these changes occur. And for you to figure out if there is anything malicious in there. You then need to look across it using observability techniques. Which means that you take a step up and look across the complete spectrum. From where the software is developed to where it's deployed. And that's what we call as shift up security. Taking it up like one level notch and looking at it using a telemetry driven approach. >> Yeah, go for it. >> So telemetry driven. So do you integrate with the observability platforms that your customers are using? >> Yeah, so we've taken a lot of cues and IP from observability techniques. Which are traditionally applied to like numerical approaches to figuring out if things are changing. Because there's a number which tells you. And we've applied that to like state related changes. We use similar approach, but we don't look at numbers. We look at what's changing and then the rate of change. And what's actually changing allows us to figure out if there's something malicious. And the only way you can do it at scale by getting the telemetry and not doing it on the actual workload. >> I'm curious, I'm taking, this is maybe your own thought leadership moment. But I as we adapt to nefarious things. Love your use of the word nefarious. Despite folks investing in cybersecurity. I mean the VCs are obviously funding all these startups. But not, but beyond that it is a, it's a huge priority. Breaches still happen. >> Yes. >> And they still happen all the time. They happen every day, every second. There's probably multiple breaches happen. I'm sure there are multiple breaches happening right now. Do you think we'll get to a point where things are truly secure and these breaches don't continue to happen? >> I'd love to say that (crowd cheering) the short answer is no. >> Right? (laughing) >> And this is where there are two schools of thought. You can always try to figure out is there a lead up? With a high degree of conviction that you can say there's something malicious? The second part is you figure out like once you've been breached. How do you reduce the time by like figuring out your dwell time and like meantime to know. >> Nice. So we have a bit of a challenge. I'm going to put his in the middle of this segment. >> Oh, okay. >> I feel like spicing it up for our last one. >> All right. >> I'm feeling a little zesty. >> All right. >> We've been giving everyone a challenge. This is your 30 seconds of thought leadership. Your hot take on the most important theme for, for you coming out of the show and looking towards 2023. >> For us, the most important thing coming out of the show is that you need to get visibility across your cloud from two perspectives. One is from your workload. Second, in terms of protecting your identity. You need to protect your workload. And you need to protect your identity. And then you need to protect the rest of the services. Right? So identity is probably the next perimeter in conjunction with the workload. And that is the most important theme. And we see it consistent in our customer conversations out here. >> Now when you say identity are you referring to down to the individual user level? >> At a cloud level, when you have both bots as well as humans interacting with cloud and you know bringing up workloads and bringing them down. The potential things which can go wrong due to like automated accounts. You know, going haywire. Is really high. And if some privileges are leaked which are meant only for automation. Get into the hands of people they could do inflict a lot of damage, right? So understanding the implications of IAM in the realm of cloud is extremely important. >> Is this, I thought zero trust was supposed to solve for that. How, where does zero trust fall short? >> So zero trust is a bigger thing. It could be in the context of someone trying to access services from their laptop. To like a, you know email exchange or something internal >> Hm. >> on the internet. In a similar way, when you use AWS as a provider. You've got like a role and then you've got like privileges associated with the role. When your identity is asserted. We need to make sure that it's actually indeed you. >> Mm. >> And there's a bunch of analytics that we do today. Allow us to like get that visibility. >> Talk about the internal culture. I'm going to let you get a little recruiting sound bite. >> Yes. >> Out of this interview. What, how big is the team? What's the vibe like? Where are you all based? >> So we are based in Boston. These days we are globally distributed. We've got R and D centers in Boston. We've got in two places in India. And we've got a distributed workforce across the US. Since pre-pandemic to now we've like increased four X or five X from around 60 employees to 300 plus. And it's a very. >> Nicely done. >> We have a very strong ethos and it's very straightforward. We are very engineering product driven when it comes to innovation. Engineering driven when it comes to productivity. But we are borderline maniacal about customer experience. And that's what resulted in our success today. >> Something that you have in common with AWS. >> I would arguably say so, yes. (laughter) Thank you for identifying that. I didn't think of it that way. But now that you put it, yes. >> Yeah, I think. One of the things that I've loved about the whole show. And I am curious if you felt this way too. So much community first, customer first, behavior here. >> Yeah. >> Has that been your take as well? >> Yes, very much so. And that's reflected in the good fortune of our customer engagement. And if you were to look at our. Where has our growth come from? Despite the prevalent macroeconomic conditions. All our large customers have doubled on us because of the experience we provide. >> Ganesh, it has been absolutely fantastic having you on theCUBE. Thank you so much for joining us today. >> Yes, thank you. And if I may say one last thing? >> Of course you can. >> As, a venture, we've put together a new program. Especially for AWS Re:Invent. And it allows people to experience everything that Uptycs has to offer up to a thousand endpoints for a dollar. It's called as the Uptyc Secret menu. >> Woo. >> Go to Uptycsecretmenu.com and you'd be available to avail that until the end of the year. >> I'm signing up right now. >> I know. I was going to say, I feel like that's the best deal of reinvent. That's fantastic Ganesh. >> Yes. >> Well again, thank you so much. We look forward to our next conversation. Can't wait to see how many employees you have then. As a result of this wonderful recruitment video that we've just. >> We hope to nominally double. Thank you for having me here. (laughter) >> Absolutely. And thank all of you for tuning into our over 100 interviews here at AWS re:Invent. We are in Las Vegas, Nevada. Signing off for the last time with Paul Gillon. I'm Savannah Peterson. You're watching theCUBE, the leader in high tech coverage. (upbeat music fading) (upbeat music fading)

(gentle music) >> Good afternoon, cloud community and welcome back to fabulous Las Vegas, Nevada. We are at AWS re:Invent. It's our fourth day, it's in the afternoon. We've got two more segments left. This is a serious marathon, but it's so exciting, it's kept my brain super curious. I'm Savannah Peterson, joined by Paul Gillan today. Paul- >> Hello Savannah. >> Are you as excited about how much we've learned this week as I am? >> I am. It's just taking, my mind is just bursting with all the new information I've absorbed over the last three days. Amazing talking to all these smart people. >> It has really been so cool. >> And learning about all the permutations that we to think about cloud but there are so many businesses that have been built around the cloud, around making the cloud easier to use, supporting cloud as our next guest can talk about, that there's this whole ecosystem element that we don't hear about so much, but it's very much the foundation of the people who are here. >> Speaking of ecosystem, our next guest, please welcome Garrett to the show. Runs Ecosystem for Console Connect. How you doing Eric? >> I'm doing very well. >> Savannah: Garrett, sorry. Excuse me. >> No worries. >> Few names on the show today. >> Garrett: I'm sure. >> I do know your name, my mouth just doesn't want to, just doesn't want to participate today. Have you had a great show so far? >> It's been fantastic. You know, the AWS re:Invent show has always been a fantastic event, so. >> You're a veteran. You're also a CUBE alumni, which is great. >> Yes. Thank you for having me back. Thank you for your time. I most appreciated it. >> Yeah. We love having you. It's going to be great. We'll, we'll try and do even better each time we have you on the show. So just in case those listening are unfamiliar with Console Connect, give us the pitch. >> Okay, so Console Connect is our software defined interconnect platform. We also provide what we call network as a service. This allows our customers and partners to take advantage of our global private network on a pay as you go basis. Scalable and flexible. When you're not using the service, you can turn it off. So you only pay as you go. >> What a novel idea. >> Yes, yes. In the past you would have to have a year or multi-year contract. So we're making our services match cloud offerings around the world. The platform itself is in more than a thousand data centers all around the globe. >> Savannah: Just a couple. >> Yes, just a few. We have about 45 terabits of network behind it. It's all on our private network, so none of it's accessible via the public internet and we have a meeting place which allows our existing customers and partners to reach out across the platform and share services. So one customer needs to subscribe to another customer services, they can do so right across the platform on a pay as to go basis. So it's been very exciting for us. It's been very fast, it seems to me, for the past five or six years that we've had the service. >> At what point in their cloud journey do customers typically realize they need a service like yours? If the bandwidth they're getting, their native bandwidth they're getting is insufficient. >> Yeah, and I think that's a great question. I think the customers themselves have seen a serious disconnect between their direct connections to the cloud service providers where the cloud service providers are billing by the minute. And a traditional telecommunications connection is built by the year or multi years and then you really lose control over your cloud connection when you forget about it, right? Because service is always up. The connection's always up. >> Yeah. >> And a lot of individuals in a company may have access to the cloud, that cloud service, provider service. And next thing you know, you have a runaway group of services that are running that you're paying for and you don't really realize it 'cause the connection's up, you've already paid the connection the cloud service is up, you've already paid for it. >> So how do businesses get better control over that spend or how do you help them? >> Yeah, so how we help them is our service is able to be turned off when it's not in use. So in the event that you don't need the service over a weekend or over a month, you can just turn it off and you're not paying for that. >> It sounds so simple but it actually is kind of revolutionary in the industry which is why I keep coming back to it. It's great. So we've heard a lot about hybrid cloud, multicloud. How is this increasing the complexity for customers? >> Well I think the complexity for customers has increased due to the fact that you have a multicloud requirement or you have multiple teams accessing your cloud service provider and there's no one really managing it from a central perspective. >> Savannah: They can definitely get siloed really easy. >> Yeah, and then it runs away from you and the next thing you know, you start to look at the monthly bills. But generally that happens on an annual basis. If any companies like mine, you're doing your annual reconciliation of your bills and that's when you notice something's not right. >> Yeah, definitely. I can actually see a Slack message I got once, multiple times probably. Is anyone using this service? Why does it cost us that? That's exactly what you're talking about. >> Do you integrate with the Amazon Management Console or is it a separate service? >> It's, our service is a separate service. We are APId in with AWS. You do have a single console from our platform to manage your connections to the cloud. And then once you are connected in, you would still need to use the AWS console to manage your service. They're very, let's just say no one is offering a remote console third party console yet for AWS or any other cloud service for that matter. >> How about for hybrid cloud is obviously the way, you know, the way the industry is going. How do you enable companies to manage their hybrid cloud environments more intelligently? >> Yeah, and that's another great question. We allow that, you know, we're a global company. We have global access around the world. It includes not only traditional telecommunication services but also includes satellite service as well as 5G and LTE capability to the platform. So in the event that someone is in a hyper cloud situation, they have a lot of capability to enable their services. >> You talked about network as a service, and I, we haven't had a chance to dig into it. So tell me a little bit more. How does, how can this help reduce egress charges? How, are people excited when they hear network as a service? Where are we off at on that hype curve? >> Yeah, I think it's low on the excitement scale. >> Savannah: Yeah. >> You know, network has become somewhat of a commodity in the world, like electricity or water, you know, for the most of the world. And so network as a service, what it has enabled is it has enabled the customers more control over what they're doing. 'Cause in the past, you would need weeks, if not months to get services installed. And then if you needed to make a change to that service to increase it or decrease it in accordance to your requirements, that might take a couple of days at the soonest and you know, the Console Connect platform now changed that down to a few minutes. So within a few minutes, you can enable services, turn it up, turn it down, scale up, scale down. >> Savannah: Talk about time to value. >> There's no equipment installation required? >> No, it is our private network and so there must be a direct connection to it. It's not available over the public internet. Generally, a customer will connect to us via a cross connect at a data center or they can bring in a local loop. Or our existing customers, we just flip a little switch, so to speak, software wise, and we give them access to the platform from their existing services. >> Do you work with co-location interconnects as well? >> Exactly, yes. And in fact, you can purchase those services across our platform with a lot of the co-location service providers. >> So if I'm already using a co-lo, I can deploy your service directly from that co-lo. >> Yes. Yes. >> That's very convenient. >> That is very convenient. (laughs) >> You also mentioned the ability interconnect between customers. So your customers can actually connect to each other and conduct transactions or integrate their applications. Talk about how that works. >> Yeah, so for instance, let's say you are a customer that's taking advantage of our platform and you find your network is under a DDoS attack. You can go into our meeting place, connect to one of our cloud service providers who specializes in DDoS mitigation, spin up a connection to them within a few minutes, and immediately, you can start taking care of your DDoS problem. And once it's taken care of, you turn it down. Now those types of services that are subscription based are via API into our platform so we can settle the bill for our customer on behalf of that service provider or the service provider themselves can bill that customer depending on how they want to set it up. So it's very flexible. >> It's really clever, too. I mean, especially in an instance like you just mentioned in that example, that's a moment of panic and high stress and high tension. The last thing you want to be thinking about is what's the right service provider? How quickly can I get this up and running? If I can just couple clicks, couple lines of code perhaps, or even just through the portal, be able to do it, it's pretty powerful. You mentioned that Console Connect, and I want to talk about this 'cause it's clear you care about the user experience, the community and Console Connect came out of LinkedIn DNA and you mentioned there's a social component to the platform as well. Can you tell me a little bit more about that? >> Yes, thank you for that. Yeah, so you can, as a customer or a partner, you can market directly to others on the platform using our meeting place. And you have the ability to reach out directly to people across the platform, send them a message. You have the ability to post articles, blog in one of our sections. And then the other one, you can actually go in and see all the latest activity in the platform. You can see who's the newest companies to join Console Connect. >> Savannah: Oh wow, cool. >> How do I reach out to them? And then that gives you the ability to begin either marketing across the platform or direct marketing to someone or directly just reach out and connect with them and say hey, we want to set a bilateral partnership with you. You know, how do we do that? So it's very flexible. >> Savannah: Yeah. >> Can I connect my systems to others? So if I want to plug into their eCommerce system so I can fulfill orders taken through their eCommerce system, can I enable that kind of connection? >> Oh, we're not there yet. It is coming, but we're just not there yet. >> What are the complexities? >> A lot of that is a trust issue. >> Yeah. >> You know, when you're dealing with across the globe, there are regulations in every location that must be adhered to. A lot of that is security and privacy related. And we must make sure that we are adhering to all the local regulations wherever we are. >> So it's not the technology, it's a problem, really. It's the- >> It's a regulatory issue, yeah. So the technology is there and I would say that the rest is following, it's just, it's slow when you're dealing with permits and with compliance. >> I also want to ask you, our notes here mention egress charges, which are a niggling pain point for a lot of customers. They have to pay to get their data of the cloud. How do you help with that problem? >> So how we help with this is first, we get a discount from our partners, our cloud partners, including AWS, and we pass that on to the customers. The other way is you have a full visibility of which connections you have live into those partners and you can manage that much easier through the single, I would say view. Of all of your connections. >> Savannah: Yeah. >> You can see all of your cloud connections right in the one view. And then you can do a little more digging and say are we using these, you know? Because a lot of times, you have projects that spin up and then someone forgets to spin them back down. So this helps give you that single view. But again, we get the discount that we are happy to pass on as well. >> Which is a win-win for everyone. I've using a tab analogy all show, we all we want it in one place, one tab, not all the tabs. >> Yes. I think network management and service management in any enterprise or partnership company is a real drain on resources. >> Oh yeah. And it's a waste of money. >> Garrett: Yeah. And if you're not managing correctly, yeah, you get the thing on the money. >> Are you an alternative to the direct connect services from the major cloud providers or are you a compliment to them? >> We're not competing with them, we're partnered. And so we don't see ourselves as an alternative. A lot of times, our customers come to us and they want to direct connect in a location where perhaps AWS isn't. >> Paul: Doesn't have a point of presence. >> Exactly. Right. We give them that flexibility of, yes you can directly connect here. And then the other approach that we like to take is we like to give our customers the choice of not only data center, but also region. So a lot of times egress charges are can be calculated across regions as well and that can really add up for our customer. Whereas if you have multiple egress locations, you're not transferring data across a region on the AWS platform or another cloud service platform. You can egress at that location and then take it across your own network or take it across our network and then your egress charges will be more reasonable. >> That's, it's convenient. Smart! You're making people's jobs optimized and easier as well as their stack and all the tools that they're using. It's fantastic. All right Garrett, we've got a new challenge here on theCUBE at re:Invent. >> Garrett: All right. >> It's probably different from the last time you were on theCUBE. We're looking for your 30 second hot take, your thought leadership moment. What's the biggest theme coming out of the show or for you as we look into 2023? >> Well, for in 30 seconds- >> Savannah: Yeah, casual, right? >> No pressure. >> Savannah: No big deal. >> No, so with Console Connect, you know, we are around the globe. I know that a lot of companies at AWS are, some are regional, some are global. And we have the ability to cover both. We can do either regional or global or a hybrid of those. We also have a hybrid approach on different types of services. And so the flexibility, scalability, reliability, and the lowered cost of egress with Console Connect is a win all around. You can't lose with it. >> I love it. You're meeting customers where they are. Garrett, it was fantastic to have you back on theCUBE. We look forward to your third cameo. >> Thank you very much. I appreciate your time. Thank you for having Console Connect on. >> Hey, absolutely. We look forward to continuing to watch and hopefully tell that story as well. And thank all of you for tuning in to day four of AWS's re:Invent coverage in Las Vegas, Nevada. I'm starting to forget my own name. I am with Paul Gilland. I'm Savannah Peterson. This is theCUBE. We are the leading source for high tech coverage. (gentle music)

>>Hey everyone. Welcome back to Las Vegas. It's the Cube live at AWS Reinvent 2022. This is our fourth day of coverage. Lisa Martin here with Paul Gillen. Paul, we started Monday night, we filmed and streamed for about three hours. We have had shammed pack days, Tuesday, Wednesday, Thursday. What's your takeaway? >>We're routed final turn as we, as we head into the home stretch. Yeah. This is as it has been since the beginning, this show with a lot of energy. I'm amazed for the fourth day of a conference, how many people are still here I am too. And how, and how active they are and how full the sessions are. Huge. Proud for the keynote this morning. You don't see that at most of the day four conferences. Everyone's on their way home. So, so people come here to learn and they're, and they're still >>Learning. They are still learning. And we're gonna help continue that learning path. We have an alumni back with us, Toron joins us, the CPO and co-founder of Dremeo. Tomer, it's great to have you back on the program. >>Yeah, thanks for, for having me here. And thanks for keeping the, the best session for the fourth day. >>Yeah, you're right. I like that. That's a good mojo to come into this interview with Tomer. So last year, last time I saw you was a year ago here in Vegas at Reinvent 21. We talked about the growth of data lakes and the data lake houses. We talked about the need for open data architectures as opposed to data warehouses. And the headline of the Silicon Angle's article on the interview we did with you was, Dremio Predicts 2022 will be the year open data architectures replace the data warehouse. We're almost done with 2022. Has that prediction come true? >>Yeah, I think, I think we're seeing almost every company out there, certainly in the enterprise, adopting data lake, data lakehouse technology, embracing open source kind of file and table formats. And, and so I think that's definitely happening. Of course, nothing goes away. So, you know, data warehouses don't go away in, in a year and actually don't go away ever. We still have mainframes around, but certainly the trends are, are all pointing in that direction. >>Describe the data lakehouse for anybody who may not be really familiar with that and, and what it's, what it really means for organizations. >>Yeah. I think you could think of the data lakehouse as the evolution of the data lake, right? And so, you know, for, for, you know, the last decade we've had kind of these two options, data lakes and data warehouses and, you know, warehouses, you know, having good SQL support, but, and good performance. But you had to spend a lot of time and effort getting data into the warehouse. You got locked into them, very, very expensive. That's a big problem now. And data lakes, you know, more open, more scalable, but had all sorts of kind of limitations. And what we've done now as an industry with the Lake House, and especially with, you know, technologies like Apache Iceberg, is we've unlocked all the capabilities of the warehouse directly on object storage like s3. So you can insert and update and delete individual records. You can do transactions, you can do all the things you could do with a, a database directly in kind of open formats without getting locked in at a much lower cost. >>But you're still dealing with semi-structured data as opposed to structured data. And there's, there's work that has to be done to get that into a usable form. That's where Drio excels. What, what has been happening in that area to, to make, I mean, is it formats like j s o that are, are enabling this to happen? How, how we advancing the cause of making semi-structured data usable? Yeah, >>Well, I think first of all, you know, I think that's all changed. I think that was maybe true for the original data lakes, but now with the Lake house, you know, our bread and butter is actually structured data. It's all, it's all tables with the schema. And, you know, you can, you know, create table insert records. You know, it's, it's, it's really everything you can do with a data warehouse you can now do in the lakehouse. Now, that's not to say that there aren't like very advanced capabilities when it comes to, you know, j s O and nested data and kind of sparse data. You know, we excel in that as well. But we're really seeing kind of the lakehouse take over the, the bread and butter data warehouse use cases. >>You mentioned open a minute ago. Talk about why it's, why open is important and the value that it can deliver for customers. >>Yeah, well, I think if you look back in time and you see all the challenges that companies have had with kind of traditional data architectures, right? The, the, the, a lot of that comes from the, the, the problems with data warehouses. The fact that they are, you know, they're very expensive. The data is, you have to ingest it into the data warehouse in order to query it. And then it's almost impossible to get off of these systems, right? It takes an enormous effort, tremendous cost to get off of them. And so you're kinda locked in and that's a big problem, right? You also, you're dependent on that one data warehouse vendor, right? You can only do things with that data that the warehouse vendor supports. And if you contrast that to data lakehouse and open architectures where the data is stored in entirely open formats. >>So things like par files and Apache iceberg tables, that means you can use any engine on that data. You can use s SQL Query Engine, you can use Spark, you can use flin. You know, there's a dozen different engines that you can use on that, both at the same time. But also in the future, if you ever wanted to try something new that comes out, some new open source innovation, some new startup, you just take it and point out the same data. So that data's now at the core, at the center of the architecture as opposed to some, you know, vendors logo. Yeah. >>Amazon seems to be bought into the Lakehouse concept. It has big announcements on day two about eliminating the ETL stage between RDS and Redshift. Do you see the cloud vendors as pushing this concept forward? >>Yeah, a hundred percent. I mean, I'm, I'm Amazon's a great, great partner of ours. We work with, you know, probably 10 different teams there. Everything from, you know, the S3 team, the, the glue team, the click site team, you know, everything in between. And, you know, their embracement of the, the, the lake house architecture, the fact that they adopted Iceberg as their primary table format. I think that's exciting as an industry. We're all coming together around standard, standard ways to represent data so that at the end of the day, companies have this benefit of being able to, you know, have their own data in their own S3 account in open formats and be able to use all these different engines without losing any of the functionality that they need, right? The ability to do all these interactions with data that maybe in the past you would have to move the data into a database or, or warehouse in order to do, you just don't have to do that anymore. Speaking >>Of functionality, talk about what's new this year with drio since we've seen you last. >>Yeah, there's a lot of, a lot of new things with, with Drio. So yeah, we now have full Apache iceberg support, you know, with DML commands, you can do inserts, updates, deletes, you know, copy into all, all that kind of stuff is now, you know, fully supported native part of the platform. We, we now offer kind of two flavors of dr. We have, you know, Dr. Cloud, which is our SaaS version fully hosted. You sign up with your Google or, you know, Azure account and, and, and you're up in, you're up and running in, in, in a minute. And then dral software, which you can self host usually in the cloud, but even, even even outside of the cloud. And then we're also very excited about this new idea of data as code. And so we've introduced a new product that's now in preview called Dr. >>Arctic. And the idea there is to bring the concepts of GI or GitHub to the world of data. So things like being able to create a branch and work in isolation. If you're a data scientist, you wanna experiment on your own without impacting other people, or you're a data engineer and you're ingesting data, you want to transform it and test it before you expose it to others. You can do that in a branch. So all these ideas that, you know, we take for granted now in the world of source code and software development, we're bringing to the world of data with Jamar. And when you think about data mesh, a lot of people talking about data mesh now and wanting to kind of take advantage of, of those concepts and ideas, you know, thinking of data as a product. Well, when you think about data as a product, we think you have to manage it like code, right? You have to, and that's why we call it data as code, right? The, all those reasons that we use things like GI have to build products, you know, if we wanna think of data as a product, we need all those capabilities also with data. You know, also the ability to go back in time. The ability to undo mistakes, to see who changed my data and when did they change that table. All of those are, are part of this, this new catalog that we've created. >>Are you talk about data as a product that's sort of intrinsic to the data mesh concept. Are you, what's your opinion of data mesh? Is the, is the world ready for that radically different approach to data ownership? >>You know, we are now in dozens of, dozens of our customers that are using drio for to implement enterprise-wide kind of data mesh solutions. And at the end of the day, I think it's just, you know, what most people would consider common sense, right? In a large organization, it is very hard for a centralized single team to understand every piece of data, to manage all the data themselves, to, you know, make sure the quality is correct to make it accessible. And so what data mesh is first and foremost about is being able to kind of federate the, or distribute the, the ownership of data, the governance of the data still has to happen, right? And so that is, I think at the heart of the data mesh, but thinking of data as kind of allowing different teams, different domains to own their own data to really manage it like a product with all the best practices that that we have with that super important. >>So we we're doing a lot with data mesh, you know, the way that cloud has multiple projects and the way that Jamar allows you to have multiple catalogs and different groups can kind of interact and share data among each other. You know, the fact that we can connect to all these different data sources, even outside your data lake, you know, with Redshift, Oracle SQL Server, you know, all the different databases that are out there and join across different databases in addition to your data lake, that that's all stuff that companies want with their data mesh. >>What are some of your favorite customer stories that where you've really helped them accelerate that data mesh and drive business value from it so that more people in the organization kind of access to data so they can really make those data driven decisions that everybody wants to make? >>I mean, there's, there's so many of them, but, you know, one of the largest tech companies in the world creating a, a data mesh where you have all the different departments in the company that, you know, they, they, they were a big data warehouse user and it kinda hit the wall, right? The costs were so high and the ability for people to kind of use it for just experimentation, to try new things out to collaborate, they couldn't do it because it was so prohibitively expensive and difficult to use. And so what they said, well, we need a platform that different people can, they can collaborate, they can ex, they can experiment with the data, they can share data with others. And so at a big organization like that, the, their ability to kind of have a centralized platform but allow different groups to manage their own data, you know, several of the largest banks in the world are, are also doing data meshes with Dr you know, one of them has over over a dozen different business units that are using, using Dremio and that ability to have thousands of people on a platform and to be able to collaborate and share among each other that, that's super important to these >>Guys. Can you contrast your approach to the market, the snowflakes? Cause they have some of those same concepts. >>Snowflake's >>A very closed system at the end of the day, right? Closed and very expensive. Right? I think they, if I remember seeing, you know, a quarter ago in, in, in one of their earnings reports that the average customer spends 70% more every year, right? Well that's not sustainable. If you think about that in a decade, that's your cost is gonna increase 200 x, most companies not gonna be able to swallow that, right? So companies need, first of all, they need more cost efficient solutions that are, you know, just more approachable, right? And the second thing is, you know, you know, we talked about the open data architecture. I think most companies now realize that the, if you want to build a platform for the future, you need to have the data and open formats and not be locked into one vendor, right? And so that's kind of another important aspect beyond that's ability to connect to all your data, even outside the lake to your different databases, no sequel databases, relational databases, and drs semantic layer where we can accelerate queries. And so typically what you have, what happens with data warehouses and other data lake query engines is that because you can't get the performance that you want, you end up creating lots and lots of copies of data. You, for every use case, you're creating a, you know, a pre-joy copy of that data, a pre aggregated version of that data. And you know, then you have to redirect all your data. >>You've got a >>Governance problem, individual things. It's expensive. It's expensive, it's hard to secure that cuz permissions don't travel with the data. So you have all sorts of problems with that, right? And so what we've done because of our semantic layer that makes it easy to kind of expose data in a logical way. And then our query acceleration technology, which we call reflections, which transparently accelerates queries and gives you subsecond response times without data copies and also without extracts into the BI tools. Cause if you start doing bi extracts or imports, again, you have lots of copies of data in the organization, all sorts of refresh problems, security problems, it's, it's a nightmare, right? And that just collapsing all those copies and having a, a simple solution where data's stored in open formats and we can give you fast access to any of that data that's very different from what you get with like a snowflake or, or any of these other >>Companies. Right. That, that's a great explanation. I wanna ask you, early this year you announced that your Dr. Cloud service would be a free forever, the basic DR. Cloud service. How has that offer gone over? What's been the uptake on that offer? >>Yeah, it, I mean it is, and thousands of people have signed up and, and it's, I think it's a great service. It's, you know, it's very, very simple. People can go on the website, try it out. We now have a test drive as well. If, if you want to get started with just some sample public sample data sets and like a tutorial, we've made that increasingly easy as well. But yeah, we continue to, you know, take that approach of, you know, making it, you know, making it easy, democratizing these kind of cloud data platforms and, and kinda lowering the barriers to >>Adoption. How, how effective has it been in driving sales of the enterprise version? >>Yeah, a lot of, a lot of, a lot of business with, you know, that, that we do like when it comes to, to selling is, you know, folks that, you know, have educated themselves, right? They've started off, they've followed some tutorials. I think generally developers, they prefer the first interaction to be with a product, not with a salesperson. And so that's, that's basically the reason we did that. >>Before we ask you the last question, I wanna just, can you give us a speak peek into the product roadmap as we enter 2023? What can you share with us that we should be paying attention to where Drum is concerned? >>Yeah. You know, actually a couple, couple days ago here at the conference, we, we had a press release with all sorts of new capabilities that we, we we just released. And there's a lot more for, for the coming year. You know, we will shortly be releasing a variety of different performance enhancements. So we'll be in the next quarter or two. We'll be, you know, probably twice as fast just in terms of rock qu speed, you know, that's in addition to our reflections and our career acceleration, you know, support for all the major clouds is coming. You know, just a lot of capabilities in Inre that make it easier and easier to use the platform. >>Awesome. Tomer, thank you so much for joining us. My last question to you is, if you had a billboard in your desired location and it was going to really just be like a mic drop about why customers should be looking at Drio, what would that billboard say? >>Well, DRIO is the easy and open data lake house and, you know, open architectures. It's just a lot, a lot better, a lot more f a lot more future proof, a lot easier and a lot just a much safer choice for the future for, for companies. And so hard to argue with those people to take a look. Exactly. That wasn't the best. That wasn't the best, you know, billboards. >>Okay. I think it's a great billboard. Awesome. And thank you so much for joining Poly Me on the program, sharing with us what's new, what some of the exciting things are that are coming down the pipe. Quite soon we're gonna be keeping our eye Ono. >>Awesome. Always happy to be here. >>Thank you. Right. For our guest and for Paul Gillin, I'm Lisa Martin. You're watching The Cube, the leader in live and emerging tech coverage.

(upbeat music) (air whooshing) >> Good afternoon, cloud nerds, and welcome back to beautiful Las Vegas, Nevada. We are at AWS re:invent day four. Afternoon of day four here on theCUBE. I'm Savannah Peterson, joined by my fabulous cohost, Paul Gillin. Paul, you look sharp today. How you doing? >> Oh, you're just as fabulous, Savannah. You always look sharp. >> I appreciate that. They pay you enough to keep me buttered up over here at- (Paul laughing) It's wonderful. >> You're holding up well. >> Yeah, thank you. I am excited about our next conversation. Two fabulous gentlemen. Please welcome Sam and Monty, welcome to the show. >> Thank you. >> And it was great. Of the PR 2%, the most interesting man alive. (Paul and Savannah laughing) >> In person. Yeah, yeah. >> In the flesh. Our favorite guests so far. So how's the show been for you guys? >> Sam: It's been phenomenal. >> Just spending a lot of time with customers and partners and AWS. It's been great. It's been great. >> It is great. It's really about the community. It feels good to be back. >> Monty: Eating good food, getting my steps in above goals. >> I feel like the balance is good. We walk enough of these convention centers that you can enjoy the libations and the delicious food that's in Las Vegas and still not go home feeling like a cow. It is awesome. It's a win-win. >> To Sam's point though, meeting with customers, meeting with other technology providers that we may be able to partner with. And most importantly, in my role especially, meeting with all of our AWS key stakeholders in the partnership. So yeah, it's been great. >> Everyone's here. It's just different having a conversation in person. Even like us right now. So just in case folks aren't familiar, tell me about Talend. >> Yeah. Well, Talend is a data integration company. We've been around for a while. We have tons of different ways to get data from point A to point B, lots of different sources, lots of different connectors, and it's all about creating accessibility to that data. And then on top of that, we also have a number of solutions around governance, data health, data quality, data observability, which I think is really taking off. And so that's kind of how we're changing the business here. >> Casual change, data and governance. I don't know if anyone's talking about that at all on the snow floor. >> Been on big topic here. We've had a lot of conversations with the customers about that. >> So governance, what new dynamics has the cloud introduced into data governance? >> Well, I think historically, customers have been able to have their data on-prem. They put it into things like data lakes. And now having the flexibility to be able to bring that data to the clouds, it opens up a lot of doors, but it also opens up a lot of risks. So if you think about the chief data officer role, where you have, okay, I want to be able to bring my data to the users. I want to be able to do that at scale, operationally. But at the same time you have a tension then between the governance and the rules that really restrict the way that you can do that. Very strong tension between those two things. >> It really is a delicate balance. And especially as people are trying to accelerate and streamline their cloud projects, a lot to consider. How do you all help them do that? Monty, let's go to you. >> Yeah, we keep saying data, data, what is it really? It's ones and zeros. In this day and age, everything we see, we touch, we do, we either use data, or we create data, and then that... >> Savannah: We are data quite literally. >> We literally are data. And so then what you end up with is all these disparate data silos and different applications with different data, and how do you bring all that together? And that's where customers really struggle. And what we do is we bring it all together, and we make it actionable for the customer. We make it very simple for them to take the data, use it for the outcomes that they're looking for in their business initiatives. >> Expand on that. What do you mean make it actionable? Do you tag it? Do you organize it in some way? What's different about your approach? >> I mean, it's a really flexible platform. And I think we're part of a broader ecosystem. Even internally, we are a data driven company. Coming into the company in April, I was able to come in and get this realtime view of like, "Hey, here's where our teams are." And it's all in front of me in a Tableau dashboard that's populated from Talend integration, bringing data out of our different systems, different systems like Workday where we're giving offers out to people. And so everything from managing headcount to where our AWS spend is, all of that stuff. >> Now, we've heard a lot of talk about data and in fact the keynote yesterday that was focused mainly on data and getting data out of silos. How do you play with AWS in that role? Because AWS has other data integration partners. >> Sam: For sure. >> What's different about your relationship? Yeah. >> Go ahead. >> Yeah, we've had a strong relationship with AWS for many years now. We've got more than 80 connectors into the different AWS services. So we're not new to the AWS game. We align with the sales teams, we align with the partner teams, and then of course, we align with all the different business units and verticals so that we can enact that co-sell motion together with AWS. >> Sam: Yeah. And I think from our product standpoint, again, just being a hyper flexible platform, being able to put, again, any different type of source of data, to any type of different destination, so things like Redshift, being able to bring data into those cloud data warehouses is really how we do that. And then I think we have between bringing data from A to B, we're also able to do that along a number of different dimensions. Whether that's just like, "Hey, we just need to do this once a day to batch, all the way down to event driven things, streaming and the like. >> That customization must be really valuable for your customers as well. So one of the big themes of the show has been cost reduction. Obviously with the economic times as we're potentially dipping our toes into as well, is just in general, always wanting to increase margins. How do you help customers cut cost? >> Well, it's cost cutting, but it's also speed to market. The faster you can get a product to market, the faster you can help your customers. Let's say healthcare life sciences, pharmaceutical companies, patient outcomes. >> Great and timely example there. >> Patient outcomes, how do they get drugs to market quicker? Well, AstraZeneca leveraged our platform along with AWS. And they even said >> Cool. >> for every dollar that they spend on data initiatives, they get $40 back. That's a billion dollars >> Wow. >> savings by getting a drug to market one month faster. >> Everybody wins. >> How do you accelerate that process? >> Well, by giving them the right data, taking all the massive data that I mentioned, siloed in everywhere, and making it so that the data scientists can take all of this data and make use of it, makes sense of it, and move their drug production along much quicker. >> Yeah. And I think there's other things too like being very flexible in the way that it's deployed. Again, I think like you have this historical story of like, it takes forever for data to get updated, to get put together. >> Savannah: I need it now. And in context. >> And I think where we're coming from is almost more of a developer focus where your jobs are able to be deployed in any way you want. If you want to containerize those, you want to scale them, you need to schedule them that way. We plug into a lot of different ecosystems. I think that's a differentiation as well. >> I want to hang out on this one just for a second 'cause it's such a great customer success story and so powerful. I mean, in VC land, if you can take a dollar and make two, they'll give you a 10x valuation, 40. That is so compelling. I mean, do you think other customers could expect that kind of savings? A billion dollars is nothing to laugh at especially when we're talking about developing a vaccine. Yeah, go for it, Sam. >> It really depends on the use case. I think what we're trying to do is being able to say, "Hey, it's not just about cost cutting, but it's about tailoring the offerings." We have other customers like major fast food vendors. They have mobile apps and when you pull up that mobile app and you're going to do a delivery, they want to be able to have a customized offering. And it's not like mass market, 20% off. It's like, they want to have a very tailored offer to that customer or to that person that's pulling open that app. And so we're able to help them architect and bring that data together so that it's immediately available and reliable to be able to give those promotions. >> We had ARP on the show yesterday. We're talking about 50 million subscribers and how they customize each one of their experiences. We all want it to be about us. We don't want that generic at... Yeah, go for it, Paul. >> Oh, okay. >> Yeah. >> Well, I don't want to break break the rhythm here, but one area where you have differentiated, about two years ago you introduced something called the trust score. >> Sam: Yeah. >> Can you explain what that is and how that has resonated with your customers? >> Yeah, let's talk about this. >> Yeah, the thing about the trust score is, how many times have you gotten a set of data? And you look at it and you say, "Where did you get this data? Something doesn't look right here." And with the trust score, what we're able to do is quantify and value the different attributes of the data. Whether it's how much this is being used. We can profile the data, and we have a trust score that runs over time where you can actually then look at each of these data sets. You can look at aggregates of data sets to then say... If you're the data engineer, you can say, "Oh my, something has gone wrong with this particular dataset." Go in, quickly pull up the data. You can see if some third party integration has polluted your data source. I mean, this happens all the time. And I think if you sort of compare this to the engineering world, you're always looking to solve those problems sooner, earlier in the chain. You don't want your consumer calling you saying, "Hey, I've got a problem with the data, or I've got a problem- >> You don't want them to know there was ever a problem in theory. >> Yeah, the trust score helps those data engineers and those people that are taking care of the data address those problems sooner. >> How much data does somebody need to be able to get to the point where they can have a trust score? If you know what I'm trying to say. How do we train that? >> I mean, it can be all the way from just like a single data source that's getting updated, all the way to very large complex ones. That's where we've introduced this hierarchy of data sets. So it's not just like, "Hey, you've got a billion data sources here and here are the trust scores." But it's like, you can actually architect this to say like, "Okay, well, I have these data sets that belong to finance." And then finance will actually get, "Here's the trust score for these data sets that they rely on." >> What causes datasets to become untrustworthy? >> Yeah. Yeah. I mean, it happens all the time. >> A of different things, right? >> In my history, in the different companies that I've been at, on the product side, we have seen different integrations that maybe somebody changes something. In upstream, some of those integrations can actually be quite brittle. And as a consumer of that data, it's not necessarily your fault, but that data ends up getting put into your production database. All of a sudden your data engineering team is spending two days unwinding those transactions, fixing the data that's in there. And all the while, that bad data that's in your production system, is causing a problem for somebody that is ultimately relying on that. >> Is that usually a governance problem? >> I think governance is probably a separate set of constraints. This is sort of the tension between wanting to get all of the data available to your consumers versus wanting to have the quality around it as well. >> It's tough balance. And I think that it's really interesting. Everybody wants great data, and you could be making decisions that affect people's wellness, quite frankly. >> For sure. >> Very dramatically if you're ill-informed. So that's very exciting. >> To your point, we are all data. So if the data is bad, we're not going to get the outcomes that we want ultimately, >> I know. We certainly want the best outcomes for ourselves. >> We track that data health for its entire life cycle throughout the process. >> That's cool. And that probably increases your confidence in the trust score as well 'cause you're looking at so much data all the time. You got a smart thing going on over here. I like it. I like it a lot. >> We believe in it and so does AWS because they are a strong partner of ours, and so do customers. I think we mentioned we've had some phenomenal customer conversations along with- >> What a success story and case study. I want to dust your shoulders off right now if I wasn't tethered in. That's super impressive. So what's next for you all? >> Yeah, so I think we're going to continue down this path of data health and data governance. Again, I kind of talked about the... you're talking about data health being this differentiator on top of just moving the data around and being really good at that. I think you're also going to have different things around country level or state level governance, literal laws that you need to comply with. And so like- >> Savannah: CCPA- >> I mean, a long list- >> Oodles. Yeah. Yeah, yeah, yeah. >> I think we're going to be doing some interesting things there. We are continuing to proliferate the sources of data that we connect to. We're always looking for the latest and greatest things to put the data into. I think you're going to see some interesting things come out of that too. >> And we continue to grow our relationship with AWS, our already strong relationship. So you can procure Talend products to the AWS marketplace. We just announced Redshift serverless support for Talend. >> All their age. >> Which sounds amazing, but because we've been doing this for so long with AWS, dirty little secret, that was easy for us to do because we're already doing all this stuff. So we made the announcement and everyone was like, "Congratulations." Like, "Thanks." >> Look at you all. Full of the humble brags. I love it. >> Talend has gone through some twists and turns over the last couple of years. Company went private, was purchased by Thoma Bravo about a year and a half ago. At that time, your CEO said that it was a chance to really refocus the company on some core strategic initiatives and move forward. Both of you joined obviously after that happened. But what did you see about sort of the new Talend that attracted you, made you want to come over here? >> For sure. Yeah. I think, when I got a chance to talk to the board and talk to Chris, our chair, we talked about there being the growth thesis behind it. So I think Thoma been a great partner to Talend. I think we're able to do some things internally that would be I think, fairly challenging for companies that are in the public markets right now. I think especially, just a lot of pressure on different prices and the cost capital and all of that. >> Right now. >> That was a really casual way of stating that. But yeah, just a little pressure. >> Little bit of pressure. And who knows? Who knows how long that's going to last, right? But I think we've got a great board in place. They've been very strong strategic partner for us talking about all the different ways that we can grow. I think it's been a good partner for us- >> One of the strengths of Thoma's strategy is synergy between the companies they've acquired. >> Oh, for sure. >> They've acquired about 40 software companies. Are you seeing synergy? You talk to those other companies a lot? >> Yeah, so I have an operating partner. I talk with him on a weekly, sometimes daily basis. If we have questions or like, "Hey, what are you seeing in this space?" We can get plugged in to advisors very quickly. I think it's been a very helpful thing where... otherwise, you're relying on your personal network or things like that. >> This is why Monty was saying it was easy for you guys to go serverless. >> And we keep talking about trust, but in this case, Thoma Bravo really trusts our senior leadership team to make the right decisions that Sam and I are here making as we move forward. It's a great relationship. >> Sam: A good team. >> It sounds like it. All the love. I can feel the love even from you guys talking about it, it's genuine. You're not just getting paid to show this. That's fantastic. >> Are we getting paid for this or... >> Yeah. (Savannah giggling) (Paul laughing) I mean, some folks in the audience are probably going to want your autograph after this, although you get that a lot- >> Pictures are available after- >> Yeah, selfies are 10 bucks. That's how I get my boos budget. So last question for you. We have a challenge here on the theCUBE re:invent. We're looking for your 32nd hot take. Think of it as your thought leadership sizzle reel. Biggest takeaway, key themes from the show or looking forward into 2023? Sam, you're ready to rock, go. >> Yeah, totally. >> I think you're going to continue to hear the tension between being able to bring the data to the masses versus the simplicity and being able to do that in a way that is compliant with all the different laws, and then clean data. It's like a lot of different challenges that arise when you do this at scale. And so I think if you look at the things that AWS is announcing, I think you look at any sort of vendor in the data space are announcing, you see them sort of coming around to that set of ideas. Gives me a lot of confidence in the direction that we're going that we're doing the right stuff and we're meeting customers and prospects and partners, and everybody is like... We kind of get into this conversation and I'll say, "Yeah, that's it. We want to get involved in that." >> You can really feel the momentum. Yeah, it's true. It's great. What about you, Monty? >> I mean, I don't need 30 seconds. I mentioned it. >> Great. >> Between Talend and AWS, we're aligned from the sales teams to the product teams, the partner teams and the alliances. We're just moving forward and growing this relationship. >> I love it. That was perfect. And on that note, Sam, Monty, thank you so much for joining us. >> Yeah, thanks for having us. >> I'm sure your careers are going to continue to be rad at Talend and I can't wait to continue the conversation. >> Sam: Yeah, it's a great team. >> Yeah, clearly. I mean, look at you two. If you're any representation of the culture over there, they're doing something great. (Monty laughing) I thank all of you for tuning in to our nearly... Well, shoot. I think now over 100 interviews at AWS Reinvent in Sin City. We are hanging out here. Paul and I've got a couple more for you. So we hope to see you tuning in with Paul Gillin. I'm Savannah Peterson. You're watching theCUBE, the leader in high tech coverage. (upbeat music)

(lively music) >> Good afternoon cloud community and welcome back to beautiful Las Vegas, Nevada. We are here at AWS re:Invent, day four of our wall to wall coverage. It is day four in the afternoon and we are holding strong. I'm Savannah Peterson, joined by my fabulous co-host Paul Gillen. Paul, how you doing? >> I'm doing well, fine Savannah. You? >> You look great. >> We're in the home stretch here. >> Yeah, (laughs) we are. >> You still look fresh as a daisy. I don't know how you do it. >> (laughs) You're too kind. You're too kind, but I'm vain enough to take that compliment. I'm very excited about the conversation that we're going to have up next. We get to get a little DevRel and we got a little swagger on the stage. Welcome, Austin. How you doing? >> Hey, great to be here. Thanks for having me. >> Savannah: Yeah, it's our pleasure. How's the show been for you so far? >> Busy, exciting. Feels a lot like, you know it used to be right? >> Yeah, I know. A little reminiscent of the before times. >> Well, before times. >> Before we dig into the technical stuff, you're the most intriguingly dressed person we've had on the show this week. >> Austin: I feel extremely underdressed. >> Well, and we were talking about developer fancy. Talk to me a little bit about your approach to fashion. Wasn't expecting to lead with this, but I like this but I like this actually. >> No, it's actually good with my PR. You're going to love it. My approach, here's the thing, I give free advice all the time about developer relations, about things that work, have worked, and don't work in community and all that stuff. I love talking about that. Someone came up to me and said, "Where do you get your fashion tips from? What's the secret Discord server that I need to go on?" I'm like, "I will never tell." >> Oh, okay. >> This is an actual trait secret. >> Top secret. Wow! Talk about. >> If someone else starts wearing the hat, then everyone's going to be like, "There's so many white guys." Look, I'm a white guy with a beard that works in technology. >> Savannah: I've never met one of those. >> Exactly, there's none of them at all. So, you have to do something to kind stand out from the crowd a little bit. >> I love it, and it's a talk trigger. We're talking about it now. Production team loved it. It's fantastic. >> It's great. >> So your DevRel for Lightstep, in case the audience isn't familiar tell us about Lightstep. >> So Lightstep is a cloud native observability platform built at planet scale, and it powers observability at some places you've heard of like Spotify, GitHub, right? We're designed to really help developers that are working in the cloud with Kubernetes, with these huge distributed systems, understand application performance and being able to find problems, fix problems. We're also part of the ServiceNow family and as we all know ServiceNow is on a mission to help the world of work work better by powering digital transformation around IT and customer experiences for their many, many, many global 2000 customers. We love them very much. >> You know, it's a big love fest here. A lot of people have talked about the collaboration, so many companies working together. You mentioned unified observability. What is unified observability? >> So if you think about a tradition, or if you've heard about this traditional idea of observability where you have three pillars, right? You have metrics, and you have logs, and you have traces. All those three things are different data sources. They're picked up by different tools. They're analyzed by different people for different purposes. What we believe and what we're working to accomplish right now is to take all that and if you think those pillars, flip 'em on their side and think of them as streams of data. If we can take those streams and integrate them together and let you treat traces and metrics and logs not as these kind of inviolate experiences where you're kind of paging between things and going between tab A to tab B to tab C, and give you a standard way to query this, a standard way to display this, and letting you kind of find the most relevant data, then it really unlocks a lot of power for like developers and SREs to spend less time like managing tools. You know, figuring out where to build their query or what dashboard to check, more just being able to like kind of ask a question, get an answer. When you have an incident or an outage that's the most important thing, right? How quickly can you get those answers that you need so that you can restore system health? >> You don't want to be looking in multiple spots to figure out what's going on. >> Absolutely. I mean, some people hear unified observability and they go to like tool consolidation, right? That's something I hear from a lot of our users and a lot of people in re:Invent. I'll talk to SREs, they're like, "Yeah, we've got like six or seven different metrics products alone, just on services that they cover." It is important to kind of consolidate that but we're really taking it a step lower. We're looking at the data layer and trying to say, "Okay, if the data is all consistent and vendor neutral then that gives you flexibility not only from a tool consolidation perspective but also you know, a consistency, reliability. You could have a single way to deploy your observability out regardless of what cloud you're on, regardless if you're using Kubernetes or Fargate or whatever else. or even just Bare Metal or EC2 Bare Metal, right? There's been so much historically in this space. There's been a lot of silos and we think that unify diversability means that we kind of break down those silos, right? The way that we're doing it primarily is through a project called OpenTelemetry which you might have heard of. You want to talk about that in a minute? . >> Savannah: Yeah, let's talk about it right now. Why don't you tell us about it? Keep going, you're great. You're on a roll. >> I am. >> Savannah: We'll just hang out over here. >> It's day four. I'm going to ask the questions and answer the questions. (Savannah laughs) >> Yes, you're right. >> I do yeah. >> Open Tele- >> OpenTelemetry . >> Explain what OpenTelemetry is first. >> OpenTelemetry is a CNCF project, Cloud Native Computing Foundation. The goal is to make telemetry data, high quality telemetry data, a builtin feature of cloud native software right? So right now if you wanted to get logging data out, depending on your application stack, depending on your application run time, depending on language, depending on your deployment environment. You might have a lot... You have to make a lot of choices, right? About like, what am I going to use? >> Savannah: So many different choices, and the players are changing all the time. >> Exactly, and a lot of times what people will do is they'll go and they'll say like, "We have to use this commercial solution because they have a proprietary agent that can do a lot of this for us." You know? And if you look at all those proprietary agents, what you find very quickly is it's very commodified right? There's no real difference in what they're doing at a code level and what's stopped the industry from really adopting a standard way to create this logs and metrics and traces, is simply just the fact that there was no standard. And so, OpenTelemetry is that standard, right? We've got dozens of companies many of them like very, many of them here right? Competitors all the same, working together to build this open standard and implementation of telemetry data for cloud native software and really any software right? Like we support over 12 languages. We support Kubernetes, Amazon. AWS is a huge contributor actually and we're doing some really exciting stuff with them on their Amazon distribution of OpenTelemetry. So it's been extremely interesting to see it over the past like couple years go from like, "Hey, here's this like new thing that we're doing over here," to really it's a generalized acceptance that this is the way of the future. This is what we should have been doing all along. >> Yeah. >> My opinion is there is a perception out there that observability is kind of a commodity now that all the players have the same set of tools, same set of 15 or 17 or whatever tools, and that there's very little distinction in functionality. Would you agree with that? >> I don't know if I would characterize it that way entirely. I do think that there's a lot of duplicated effort that happens and part of the reason is because of this telemetry data problem, right? Because you have to wind up... You know, there's this idea of table stakes monitoring that we talk about right? Table stakes monitoring is the stuff that you're having to do every single day to kind of make sure your system is healthy to be able to... When there's an alert, gets triggered, to see why it got triggered and to go fix it, right? Because everyone has the kind of work on that table stake stuff and then build all these integrations, there's very little time for innovation on top of that right? Because you're spending all your time just like working on keeping up with technology. >> Savannah: Doing the boring stuff to make sure the wheels don't fall off, basically. >> Austin: Right? What I think the real advantage of OpenTelemetry is that it really, from like a vendor perspective, like it unblocks us from having to kind of do all this repetitive commodified work. It lets us help move that out to the community level so that... Instead of having to kind of build, your Kubernetes integration for example, you can just have like, "Hey, OpenTelemetry is integrated into Kubernetes and you just have this data now." If you are a commercial product, or if you're even someone that's interested in fixing a, scratching a particular itch about observability. It's like, "I have this specific way that I'm doing Kubernetes and I need something to help me really analyze that data. Well, I've got the data now I can just go create a project. I can create an analysis tool." I think that's what you'll see over time as OpenTelemetry promulgates out into the ecosystem is more people building interesting analysis features, people using things like machine learning to analyze this large amount, large and consistent amount of OpenTelemetry data. It's going to be a big shakeup I think, but it has the potential to really unlock a lot of value for our customers. >> Well, so you're, you're a developer relations guy. What are developers asking for right now out of their observability platforms? >> Austin: That's a great question. I think there's two things. The first is that they want it to just work. It's actually the biggest thing, right? There's so many kind of... This goes back to the tool proliferation, right? People have too much data in too many different places, and getting that data out can still be really challenging. And so, the biggest thing they want is just like, "I want something that I can... I want a lot of these questions I have to ask, answered already and OpenTelemetry is going towards it." Keep in mind it's the project's only three years old, so we obviously have room to grow but there are people running it in production and it works really well for them but there's more that we can do. The second thing is, and this isn't what really is interesting to me, is it's less what they're asking for and more what they're not asking for. Because a lot of the stuff that you see people, saying around, "Oh, we need this like very specific sort of lower level telemetry data, or we need this kind of universal thing." People really just want to be able to get questions or get questions answered, right? They want tools that kind of have these workflows where you don't have to be an expert because a lot of times this tooling gets locked behind sort of is gate kept almost in a organization where there are teams that's like, "We're responsible for this and we're going to set it up and manage it for you, and we won't let you do things outside of it because that would mess up- >> Savannah: Here's your sandbox and- >> Right, this is your sandbox you can play in and a lot of times that's really useful and very tuned for the problems that you saw yesterday, but people are looking at like what are the problems I'm going to get tomorrow? We're deploying more rapidly. We have more and more intentional change happening in the system. Like it's not enough to have this reactive sort of approach where our SRE teams are kind of like or this observability team is building a platform for us. Developers want to be able to get in and have these kind of guided workflows really that say like, "Hey, here's where you're starting at. Let's get you to an answer. Let's help you find the needle in the haystack as it were, without you having to become a master of six different or seven different tools." >> Savannah: Right, and it shouldn't be that complicated. >> It shouldn't be. I mean we've certainly... We've been working on this problem for many years now, starting with a lot of our team that started at Google and helped build Google's planet scale monitoring systems. So we have a lot of experience in the field. It's actually one... An interesting story that our founder or now general manager tells BHS, Ben Sigelman, and he told me this story once and it's like... He had built this really cool thing called Dapper that was a tracing system at Google, and people weren't using it. Because they were like, "This is really cool, but I don't know how to... but it's not relevant to me." And he's like, the one thing that we did to get to increase usage 20 times over was we just put a link. So we went to the place that people were already looking for that data and we added a link that says, "Hey, go over here and look at this." It's those simple connections being able to kind of draw people from like point A to point B, take them from familiar workflows into unfamiliar ones. You know, that's how we think about these problems right? How is this becoming a daily part of someone's usage? How is this helping them solve problems faster and really improve their their life? >> Savannah: Yeah, exactly. It comes down to quality of life. >> Warner made the case this morning that computer architecture should be inherently event-driven and that we are moving toward a world where the person matters less than what the software does, right? The software is triggering events. Does this complicate observability or simplify it? >> Austin: I think that at the end of the day, it's about getting the... Observability to me in a lot of ways is about modeling your system, right? It's about you as a developer being able to say this is what I expect the system to do and I don't think the actual application architecture really matters that much, right? Because it's about you. You are building a system, right? It can be event driven, can be support request response, can be whatever it is. You have to be able to say, "This is what I expect to... For these given inputs, this is the expected output." Now maybe there's a lot of stuff that happens in the middle that you don't really care about. And then, I talk to people here and everyone's talking about serverless right? Everyone... You can see there's obviously some amazing statistics about how many people are using Lambda, and it's very exciting. There's a lot of stuff that you shouldn't have to care about as a developer, but you should care about those inputs and outputs. You will need to have that kind of intermediate information and understand like, what was the exact path that I took through this invented system? What was the actual resources that were being used? Because even if you trust that all this magic behind the scenes is just going to work forever, sometimes it's still really useful to have that sort of lower level abstraction, to say like, "Well, this is what actually happened so that I can figure out when I deployed a new change, did I make performance better or worse?" Or being able to kind of segregate your data out and say like... Doing AB testing, right? Doing canary releases, doing all of these things that you hear about as best practices or well architected applications. Observability is at the core of all that. You need observability to kind of do any of, ask any of those higher level interesting questions. >> Savannah: We are here at ReInvent. Tell us a little bit more about the partnership with AWS. >> So I would have to actually probably refer you to someone at Service Now on that. I know that we are a partner. We collaborate with them on various things. But really at Lightstep, we're very focused on kind of the open source part of this. So we work with AWS through the OpenTelemetry project, on things like the AWS distribution for OpenTelemetry which is really... It's OpenTelemetry, again is really designed to be like a neutral standard but we know that there are going to be integrators and implementers that need to package up and bundle it in a certain way to make it easy for their end users to consume it. So that's what Amazon has done with ADOT which is the shortening for it. So it's available in several different ways. You can use it as like an SDK and drop it into your application. There's Lambda layers. If you want to get Lambda observability, you just add this extension in and then suddenly you're getting OpenTelemetry data on the other side. So it's really cool. It's been a really exciting to kind of work with people on the AWS side over the past several years. >> Savannah: It's exciting, >> I've personally seen just a lot of change. I was talking to a PM earlier this week... It's like, "Hey, two years ago I came and talked to you about OpenTelemetry and here we are today. You're still talking about OpenTelemetry." And they're like, "What changes?" Our customers have started coming to us asking for OpenTelemetry and we see the same thing now. >> Savannah: Timing is right. >> Timing is right, but we see the same thing... Even talking to ServiceNow customers who are... These very big enterprises, banks, finance, healthcare, whatever, telcos, it used to be... You'd have to go to them and say like, "Let me tell you about distributed tracing. Let me tell you about OpenTelemetry. Let me tell you about observability." Now they're coming in and saying, "Yeah, so we're standard." If you think about Kubernetes and how Kubernetes, a lot of enterprises have spent the past five-six years standardizing, and Kubernetes is a way to deploy applications or manage containerized applications. They're doing the same journey now with OpenTelemetry where they're saying, "This is what we're betting on and we want partners we want people to help us go along that way." >> I love it, and they work hand in hand in all CNCF projects as well that you're talking about. >> Austin: Right, so we're integrated into Kubernetes. You can find OpenTelemetry and things like kept in which is application standards. And over time, it'll just like promulgate out from there. So it's really exciting times. >> A bunch of CNCF projects in this area right? Prometheus. >> Prometheus, yeah. Yeah, so we inter-operate with Prometheus as well. So if you have Prometheus metrics, then OpenTelemetry can read those. It's a... OpenTelemetry metrics are like a super set of Prometheus. We've been working with the Prometheus community for quite a while to make sure that there's really good compatibility because so many people use Prometheus you know? >> Yeah. All right, so last question. New tradition for us here on theCUBE. We're looking for your 32nd hot take, Instagram reel, biggest theme, biggest buzz for those not here on the show floor. >> Oh gosh. >> Savannah: It could be for you too. It could be whatever for... >> I think the two things that are really striking to me is one serverless. Like I see... I thought people were talking about servers a lot and they were talking about it more than ever. Two, I really think it is observability right? Like we've gone from observability being kind of a niche. >> Savannah: Not that you're biased. >> Huh? >> Savannah: Not that you're biased. >> Not that I'm biased. It used to be a niche. I'd have to go niche thing where I would go and explain what this is to people and nowpeople are coming up. It's like, "Yeah, yeah, we're using OpenTelemetry." It's very cool. I've been involved with OpenTelemetry since the jump, since it was started really. It's been very exciting to see and gratifying to see like how much adoption we've gotten even in a short amount of time. >> Yeah, absolutely. It's a pretty... Yeah, it's been a lot. That was great. Perfect soundbite for us. >> Austin: Thanks, I love soundbites. >> Savannah: Yeah. Awesome. We love your hat and your soundbites equally. Thank you so much for being on the show with us today. >> Thank you for having me. >> Savannah: Hey, anytime, anytime. Will we see you in Amsterdam, speaking of KubeCon? Awesome, we'll be there. >> There's some real exciting OpenTelemetry stuff coming up for KubeCon. >> Well, we'll have to get you back on theCUBE. (talking simultaneously) Love that for us. Thank you all for tuning in two hour wall to wall coverage here, day four at AWS re:Invent in fabulous Las Vegas, Nevada, with Paul Gillin. I'm Savannah Peterson and you're watching theCUBE, the leader in high tech coverage. (lively music)

(upbeat music) >> Hey, everyone, welcome back to Las Vegas, "theCube" is on our fourth day of covering AWS re:Invent, live from the Venetian Expo Center. This week has been amazing. We've created a ton of content, as you know, 'cause you've been watching. But, there's been north of 55,000 people here, hundreds of thousands online. We've had amazing conversations across the AWS ecosystem. Lisa Martin, Paul Gillan. Paul, what's your, kind of, take on day four of the conference? It's still highly packed. >> Oh, there's lots of people here. (laughs) >> Yep. Unusual for the final day of a conference. I think Werner Vogels, if I'm pronouncing it right kicked things off today when he talked about asymmetry and how the world is, you know, asymmetric. We build symmetric software, because it's convenient to do so, but asymmetric software actually scales and evolves much better. And I think that that was a conversation starter for a lot of what people are talking about here today, which is how the cloud changes the way we think about building software. >> Absolutely does. >> Our next guest, Holger Mueller, that's one of his key areas of focus. And Holger, welcome, thanks for joining us on the "theCube". >> Thanks for having me. >> What did you take away from the keynote this morning? >> Well, how do you feel on the final day of the marathon, right? We're like 23, 24 miles. Hit the ball yesterday, right? >> We are going strong Holger. And, of course, >> Yeah. >> you guys, we can either talk about business transformation with cloud or the World Cup. >> Or we can do both. >> The World Cup, hands down. World Cup. (Lisa laughs) Germany's out, I'm unbiased now. They just got eliminated. >> Spain is out now. >> What will the U.S. do against Netherlands tomorrow? >> They're going to win. What's your forecast? U.S. will win? >> They're going to win 2 to 1. >> What do you say, 2:1? >> I'm optimistic, but realistic. >> 3? >> I think Netherlands. >> Netherlands will win? >> 2 to nothing. >> Okay, I'll vote for the U.S.. >> Okay, okay >> 3:1 for the U.S.. >> Be optimistic. >> Root for the U.S.. >> Okay, I like that. >> Hope for the best wherever you work. >> Tomorrow you'll see how much soccer experts we are. >> If your prediction was right. (laughs) >> (laughs) Ja, ja. Or yours was right, right, so. Cool, no, but the event, I think the event is great to have 50,000 people. Biggest event of the year again, right? Not yet the 70,000 we had in 2019. But it's great to have the energy. I've never seen the show floor going all the way down like this, right? >> I haven't either. >> I've never seen that. I think it's a record. Often vendors get the space here and they have the keynote area, and the entertainment area, >> Yeah. >> and the food area, and then there's an exposition, right? This is packed. >> It's packed. >> Maybe it'll pay off. >> You don't see the big empty booths that you often see. >> Oh no. >> Exactly, exactly. You know, the white spaces and so on. >> No. >> Right. >> Which is a good thing. >> There's lots of energy, which is great. And today's, of course, the developer day, like you said before, right now Vogels' a rockstar in the developer community, right. Revered visionary on what has been built, right? And he's becoming a little professorial is my feeling, right. He had these moments before too, when it was justifying how AWS moved off the Oracle database about the importance of data warehouses and structures and why DynamoDB is better and so on. But, he had a large part of this too, and this coming right across the keynotes, right? Adam Selipsky talking about Antarctica, right? Scott against almonds and what went wrong. He didn't tell us, by the way, which often the tech winners forget. Scott banked on technology. He had motorized sleds, which failed after three miles. So, that's not the story to tell the technology. Let everything down. Everybody went back to ponies and horses and dogs. >> Maybe goes back to these asynchronous behavior. >> Yeah. >> The way of nature. >> And, yesterday, Swami talking about the bridges, right? The root bridges, right? >> Right. >> So, how could Werner pick up with his video at the beginning. >> Yeah. >> And then talk about space and other things? So I think it's important to educate about event-based architecture, right? And we see this massive transformation. Modern software has to be event based, right? Because, that's how things work and we didn't think like this before. I see this massive transformation in my other research area in other platforms about the HR space, where payrolls are being rebuilt completely. And payroll used to be one of the three peaks of ERP, right? You would size your ERP machine before the cloud to financial close, to run the payroll, and to do an MRP manufacturing run if you're manufacturing. God forbid you run those three at the same time. Your machine wouldn't be able to do that, right? So it was like start the engine, start the boosters, we are running payroll. And now the modern payroll designs like you see from ADP or from Ceridian, they're taking every payroll relevant event. You check in time wise, right? You go overtime, you take a day of vacation and right away they trigger and run the payroll, so it's up to date for you, up to date for you, which, in this economy, is super important, because we have more gig workers, we have more contractors, we have employees who are leaving suddenly, right? The great resignation, which is happening. So, from that perspective, it's the modern way of building software. So it's great to see Werner showing that. The dirty little secrets though is that is more efficient software for the cloud platform vendor too. Takes less resources, gets less committed things, so it's a much more scalable architecture. You can move the events, you can work asynchronously much better. And the biggest showcase, right? What's the biggest transactional showcase for an eventually consistent asynchronous transactional application? I know it's a mouthful, but we at Amazon, AWS, Amazon, right? You buy something on Amazon they tell you it's going to come tomorrow. >> Yep. >> They don't know it's going to come tomorrow by that time, because it's not transactionally consistent, right? We're just making every ERP vendor, who lives in transactional work, having nightmares of course, (Lisa laughs) but for them it's like, yes we have the delivery to promise, a promise to do that, right? But they come back to you and say, "Sorry, we couldn't make it, delivery didn't work and so on. It's going to be a new date. We are out of the product.", right? So these kind of event base asynchronous things are more and more what's going to scale around the world. It's going to be efficient for everybody, it's going to be better customer experience, better employee experience, ultimately better user experience, it's going to be better for the enterprise to build, but we have to learn to build it. So big announcement was to build our environment to build better eventful applications from today. >> Talk about... This is the first re:Invent... Well, actually, I'm sorry, it's the second re:Invent under Adam Selipsky. >> Right. Adam Selipsky, yep. >> But his first year. >> Right >> We're hearing a lot of momentum. What's your takeaway with what he delivered with the direction Amazon is going, their vision? >> Ja, I think compared to the Jassy times, right, we didn't see the hockey stick slide, right? With a number of innovations and releases. That was done in 2019 too, right? So I think it's a more pedestrian pace, which, ultimately, is good for everybody, because it means that when software vendors go slower, they do less width, but more depth. >> Yeah. >> And depth is what customers need. So Amazon's building more on the depth side, which is good news. I also think, and that's not official, right, but Adam Selipsky came from Tableau, right? >> Yeah. So he is a BI analytics guy. So it's no surprise we have three data lake offerings, right? Security data lake, we have a healthcare data lake and we have a supply chain data lake, right? Where all, again, the epigonos mentioned them I was like, "Oh, my god, Amazon's coming to supply chain.", but it's actually data lakes, which is an interesting part. But, I think it's not a surprise that someone who comes heavily out of the analytics BI world, it's off ringside, if I was pitching internally to him maybe I'd do something which he's is familiar with and I think that's what we see in the major announcement of his keynote on Tuesday. >> I mean, speaking of analytics, one of the big announcements early on was Amazon is trying to bridge the gap between Aurora. >> Yep. >> And Redshift. >> Right. >> And setting up for continuous pipelines, continuous integration. >> Right. >> Seems to be a trend that is common to all database players. I mean, Oracle is doing the same thing. SAP is doing the same thing. MariaDB. Do you see the distinction between transactional and analytical databases going away? >> It's coming together, right? Certainly coming together, from that perspective, but there's a fundamental different starting point, right? And with the big idea part, right? The universal database, which does everything for you in one system, whereas the suite of specialized databases, right? Oracle is in the classic Oracle database in the universal database camp. On the other side you have Amazon, which built a database. This is one of the first few Amazon re:Invents. It's my 10th where there was no new database announced. Right? >> No. >> So it was always add another one specially- >> I think they have enough. >> It's a great approach. They have enough, right? So it's a great approach to build something quick, which Amazon is all about. It's not so great when customers want to leverage things. And, ultimately, which I think with Selipsky, AWS is waking up to the enterprise saying, "I have all this different database and what is in them matters to me." >> Yeah. >> "So how can I get this better?" So no surprise between the two most popular database, Aurora and RDS. They're bring together the data with some out of the box parts. I think it's kind of, like, silly when Swami's saying, "Hey, no ETL.". (chuckles) Right? >> Yeah. >> There shouldn't be an ETL from the same vendor, right? There should be data pipes from that perspective anyway. So it looks like, on the overall value proposition database side, AWS is moving closer to the universal database on the Oracle side, right? Because, if you lift, of course, the universal database, under the hood, you see, well, there's different database there, different part there, you do something there, you have to configure stuff, which is also the case but it's one part of it, right, so. >> With that shift, talk about the value that's going to be in it for customers regardless of industry. >> Well, the value for customers is great, because when software vendors, or platform vendors, go in depth, you get more functionality, you get more maturity you get easier ways of setting up the whole things. You get ways of maintaining things. And you, ultimately, get lower TCO to build them, which is super important for enterprise. Because, here, this is the developer cloud, right? Developers love AWS. Developers are scarce, expensive. Might not be want to work for you, right? So developer velocity getting more done with same amount of developers, getting less done, less developers getting more done, is super crucial, super important. So this is all good news for enterprise banking on AWS and then providing them more efficiency, more automation, out of the box. >> Some of your customer conversations this week, talk to us about some of the feedback. What's the common denominator amongst customers right now? >> Customers are excited. First of all, like, first event, again in person, large, right? >> Yeah. >> People can travel, people meet each other, meet in person. They have a good handle around the complexity, which used to be a huge challenge in the past, because people say, "Do I do this?" I know so many CXOs saying, "Yeah, I want to build, say, something in IoT with AWS. The first reference built it like this, the next reference built it completely different. The third one built it completely different again. So now I'm doubting if my team has the skills to build things successfully, because will they be smart enough, like your teams, because there's no repetitiveness and that repetitiveness is going to be very important for AWS to come up with some higher packaging and version numbers.", right? But customers like that message. They like that things are working better together. They're not missing the big announcement, right? One of the traditional things of AWS would be, and they made it even proud, as a system, Jassy was saying, "If we look at the IT spend and we see something which is, like, high margin for us and not served well and we announced something there, right?" So Quick Start, Workspaces, where all liaisons where AWS went after traditional IT spend and had an offering. We haven't had this in 2019, we don't have them in 2020. Last year and didn't have it now. So something is changing on the AWS side. It's a little bit too early to figure out what, but they're not chewing off as many big things as they used in the past. >> Right. >> Yep. >> Did you get the sense that... Keith Townsend, from "The CTO Advisor", was on earlier. >> Yep. >> And he said he's been to many re:Invents, as you have, and he said that he got the sense that this is Amazon's chance to do a victory lap, as he called it. That this is a way for Amazon to reinforce the leadership cloud. >> Ja. >> And really, kind of, establish that nobody can come close to them, nobody can compete with them. >> You don't think that- >> I don't think that's at all... I mean, love Keith, he's a great guy, but I don't think that's the mindset at all, right? So, I mean, Jassy was always saying, "It's still the morning of the day in the cloud.", right? They're far away from being done. They're obsessed over being right. They do more work with the analysts. We think we got something right. And I like the passion, from that perspective. So I think Amazon's far from being complacent and the area, which is the biggest bit, right, the biggest. The only thing where Amazon truly has floundered, always floundered, is the AI space, right? So, 2018, Werner Vogels was doing more technical stuff that "Oh, this is all about linear regression.", right? And Amazon didn't start to put algorithms on silicon, right? And they have a three four trail and they didn't announce anything new here, behind Google who's been doing this for much, much longer than TPU platform, so. >> But they have now. >> They're keen aware. >> Yep. >> They now have three, or they own two of their own hardware platforms for AI. >> Right. >> They support the Intel platform. They seem to be catching up in that area. >> It's very hard to catch up on hardware, right? Because, there's release cycles, right? And just the volume that, just talking about the largest models that we have right now, to do with the language models, and Google is just doing a side note of saying, "Oh, we supported 50 less or 30 less, not little spoken languages, which I've never even heard of, because they're under banked and under supported and here's the language model, right? And I think it's all about little bit the organizational DNA of a company. I'm a strong believer in that. And, you have to remember AWS comes from the retail side, right? >> Yeah. >> Their roll out of data centers follows their retail strategy. Open secret, right? But, the same thing as the scale of the AI is very very different than if you take a look over at Google where it makes sense of the internet, right? The scale right away >> Right. >> is a solution, which is a good solution for some of the DNA of AWS. Also, Microsoft Azure is good. There has no chance to even get off the ship of that at Google, right? And these leaders with Google and it's not getting smaller, right? We didn't hear anything. I mean so much focused on data. Why do they focus so much on data? Because, data is the first step for AI. If AWS was doing a victory lap, data would've been done. They would own data, right? They would have a competitor to BigQuery Omni from the Google side to get data from the different clouds. There's crickets on that topic, right? So I think they know that they're catching up on the AI side, but it's really, really hard. It's not like in software where you can't acquire someone they could acquire in video. >> Not at Core Donovan. >> Might play a game, but that's not a good idea, right? So you can't, there's no shortcuts on the hardware side. As much as I'm a software guy and love software and don't like hardware, it's always a pain, right? There's no shortcuts there and there's nothing, which I think, has a new Artanium instance, of course, certainly, but they're not catching up. The distance is the same, yep. >> One of the things is funny, one of our guests, I think it was Tuesday, it was, it was right after Adam's keynote. >> Sure. >> Said that Adam Selipsky stood up on stage and talked about data for 52 minutes. >> Yeah. Right. >> It was timed, 52 minutes. >> Right. >> Huge emphasis on that. One of the things that Adam said to John Furrier when they were able to sit down >> Yeah >> a week or so ago at an event preview, was that CIOs and CEOs are not coming to Adam to talk about technology. They want to talk about transformation. They want to talk about business transformation. >> Sure, yes, yes. >> Talk to me in our last couple of minutes about what CEOs and CIOs are coming to you saying, "Holger, help us figure this out. We have to transform the business." >> Right. So we advise, I'm going quote our friends at Gartner, once the type A company. So we'll use technology aggressively, right? So take everything in the audience with a grain of salt, followers are the laggards, and so on. So for them, it's really the cusp of doing AI, right? Getting that data together. It has to be in the cloud. We live in the air of infinite computing. The cloud makes computing infinite, both from a storage, from a compute perspective, from an AI perspective, and then define new business models and create new best practices on top of that. Because, in the past, everything was fine out on premise, right? We talked about the (indistinct) size. Now in the cloud, it's just the business model to say, "Do I want to have a little more AI? Do I want a to run a little more? Will it give me the insight in the business?". So, that's the transformation that is happening, really. So, bringing your data together, this live conversation data, but not for bringing the data together. There's often the big win for the business for the first time to see the data. AWS is banking on that. The supply chain product, as an example. So many disparate systems, bring them them together. Big win for the business. But, the win for the business, ultimately, is when you change the paradigm from the user showing up to do something, to software doing stuff for us, right? >> Right. >> We have too much in this operator paradigm. If the user doesn't show up, doesn't find the click, doesn't find where to go, nothing happens. It can't be done in the 21st century, right? Software has to look over your shoulder. >> Good point. >> Understand one for you, autonomous self-driving systems. That's what CXOs, who're future looking, will be talked to come to AWS and all the other cloud vendors. >> Got it, last question for you. We're making a sizzle reel on Instagram. >> Yeah. >> If you had, like, a phrase, like, or a 30 second pitch that would describe re:Invent 2022 in the direction the company's going. What would that elevator pitch say? >> 30 second pitch? >> Yeah. >> All right, just timing. AWS is doing well. It's providing more depth, less breadth. Making things work together. It's catching up in some areas, has some interesting offerings, like the healthcare offering, the security data lake offering, which might change some things in the industry. It's staying the course and it's going strong. >> Ah, beautifully said, Holger. Thank you so much for joining Paul and me. >> Might have been too short. I don't know. (laughs) >> About 10 seconds left over. >> It was perfect, absolutely perfect. >> Thanks for having me. >> Perfect sizzle reel. >> Appreciate it. >> We appreciate your insights, what you're seeing this week, and the direction the company is going. We can't wait to see what happens in the next year. And, yeah. >> Thanks for having me. >> And of course, we've been on so many times. We know we're going to have you back. (laughs) >> Looking forward to it, thank you. >> All right, for Holger Mueller and Paul Gillan, I'm Lisa Martin. You're watching "theCube", the leader in live enterprise and emerging tech coverage. (upbeat music)

(upbeat music) >> Hello, everyone. Welcome to theCUBE's coverage here at AWS re:Invent 2022. This is the Executive Summit with Accenture. I'm John Furrier, your host of theCUBE with two great guests coming on today, really talking about the future, the role of humans. Radically human is going to be the topic. Paul Daugherty, the group Chief Executive Technology and CTO at Accenture. And Jim Wilson, Global Managing Director of Thought Leadership and Technology Research, Accenture. Gentlemen, thank you for coming on theCUBE for this conversation around your new hit book, "Radically Human." >> Thanks, John. It's great to be with you and great to be present at re:Invent. >> We've been following you guys for many, many years now, over a decade. You always have the finger on the pulse. I mean, and as these waves come in, it's really important to understand impact. And more than ever, we're in this, I call it the systems thinking, revolution is going on now where things have consequences and machines are now accelerating their role. Developers are becoming the front lines of running companies, seeing a massive shift. This new technology is transforming the business and shaping our future as as humans. And so I love the book, very, very strong content, really right on point. What was the motivation for the book? And congratulations, but I noticed you got the structure, part one and part two, this book seems to be packing a big punch. What was the motivation, and what was some of the background in putting the book together? >> That's a great question, John. And I'll start, and then, Jim, my co-author and colleague and partner on the book can join in too. If you step back from the book itself, we'd written a first book called "Human + Machine", which focused a lot on artificial intelligence and talked about the potential and future of artificial intelligence to create a more human future for us with the human plus machine pairing. And then when we started working on the next book, it was the COVID era. COVID came on line as we were writing the book. And that was causing really an interesting time in technology for a lot of companies. I mean, think back to what you were doing. Once COVID hit, every company became more dependent on technology. Technology was the lifeline. And so Jim and I got interested in what the impacts of that were on companies, and what was different from the first research we had done around our first book. And what we found, which was super interesting, is that pre-pandemic, the leading companies, the digital leaders that were applying cloud data, AI, and related technologies faster, we're outperforming others by a factor of 2x. And that was before the pandemic. After the pandemic, we redid the research and the gap widened into 5x. And I think that's played a lot into our book. And we talk about that in the opening of our book. And the message there is exactly what you said is technology is not just the lifeline from the pandemic, but now technology is the heart and soul of how companies are driving innovation, how they're responding to global crises around inflation, energy, supply chain crisis because of the war in Ukraine, et cetera. And companies need the technology more than ever. And that's what we're writing about in "Radically Human." And we're taking a step beyond our previous book to talk about what we believe is next. And it's really cloud, data and AI, and the metaverse that signal out as three trends that are really driving transformative change for companies. In the first part of the book, to your question on the structure, talks about the roadmap to that. We talked about the ideas framework, five areas where you need to change your thinking, flip your assumptions on how to apply technology. And then the second part of the book talks about the differentiators that we believe are going to set companies apart as they look to implement this technology and transform their companies for the future. >> Jim, weigh in on this flipping the script, flipping the assumptions. >> You used a really important word there and that is systems. I think when we think about artificial intelligence, and when Paul and I have now talking to companies, a lot of executives think of AI as a point solution. They don't think about AI in terms of taking a systems approach. So we were trying to address that. All right, if you're going to build a roadmap, a technology roadmap for applying intelligent technologies like artificial intelligence, how do you take a holistic systematic view? And that's really the focus of the first section of the book. And then as Paul mentioned, how do you take those systems and really differentiate it using your talent, focusing on trust, experiences and sustainability? >> I like how it reads. It's almost like a masterclass book because you set the table. It's like, 'cause people right now are like in the mode of what's going on around me? I've been living through three years of COVID. We're coming out the other side. The world looks radically different. Humans are much more important. Automation's great, but people are finding out that the human's key, but people are trying to figure out where am I today. So I think the first part really to me hits home. Like, here's the current situation and then part two is here's how you can get better. And it's not just about machines, machines, machines and automation, automation, automation. We're seeing examples where the role of the human, the person in society, whether it's individually or as part of a group, are really now key assets in that kind of this new workforce or this new production system or society. >> Yeah. And just to take a couple examples from the book and highlight that, I think you're exactly right. And that's where "Radically Human", the title came from. And what's happening with technology is that technology itself is becoming more human like in its capability. When you think about the power of the transformer technologies and other things that we're reading about a lot. And the whole hypothesis or premise of the book I should say, is that the more human like the technology is, the more radically human or the more radical the human potential improvement is, the bigger the opportunity. It's pairing the two together rather than, as you said, just looking at the automation or the machine side of it. That's really the radical leap. And one thing Jim and I talked about in context of the book is companies really often haven't been radical enough in applying technology to really get to dramatic gains that they can get. Just a couple examples from the ideas framework, the I in IDEAS. The ideas framework is the first part of the book. The five areas to flip your assumptions. The I stands for intelligence and we're talking about more human and less artificial in terms of the intelligence techniques. Things like common sense learning and other techniques that allow you to develop more powerful ways of engaging people, engaging humans in the systems that we build using the kind of systems thinking that Jim mentioned. And things like emotional AI, common sense AI, new techniques in addition to machine, the big data driven machine learning techniques, which are essential to vision and solving big problems like that. So that's just an example of how you bring it together and enable that human potential. >> I love the idea, go ahead Jim. >> I was going to say we've been used to adapting to technology, and contorting our fingers to keyboards and so on for a long time. And now we're starting to see that technology is in fact beginning to adapt to us and become more natural in many instances. One point that we make is now in the human technology nexus, in fact, the human is in the ascended. That's one of the big ideas that we try to put out there in this book. >> I love the idea of flipping the script, flipping the assumptions, but ideas framework is interesting. I for intelligence, D for data, E for expertise, A for architecture, S for strategy. Notice the strategies last. Normally in the old school days, it's like, hey, strategy first and execution. Really interesting how you guys put that together. It feels like business is becoming agile and iterative and how it's going to be forming. Can you guys, I mean that's my opinion, but I think observing how developers becoming much more part of the app. I mean, if you take digital transformation to its conclusion, the application is the company, It's not a department serving the business, it is the business, therefore developers are running the business, so to speak. This is really radical. I mean, this is how I'm seeing it. What's your reaction to that? Do you see similar parallels to this transformation if you take it down to a conclusion and strategy is just what you do after you get the outcomes you need? What's your reaction to that? >> Yeah, I think one of the most lasting elements of the book might be that chapter on strategy in my opinion, because you need to think about it differently. The old way of doing strategy is dead. You can't do it the way you used to do it. And that's what we tried to lay out with the S in IDEAS, the strategy. The subtitle that chapter is we're all technology companies now. And if you're a technology driven company, the way you need to think about and every company is becoming, that's what I hear when I talk to these suites and CEOs and boards, is everybody's recognizing the essential role that technology plays and therefore they need to master technology. Well, you need to think about strategy differently then because of the pace of technology innovation. And so you need to throw out the old way of doing it. We suggest three new archetypes of how to do strategy that I think are really important. It's about continuous strategy in all cases. An example is one of the techniques we talk about, forever beta, which is, think about a Tesla or companies that it's never quite done. They're always improving and the product is designed to be connected and improving. So it changes along the product and the strategy along how you deploy it to consumers changes as you go. And that's an example of a very different approach to strategy that we believe is essential to consider as you look at the future. Yeah, those multi-month strategy sessions might play out over two or three quarters of going away. And strategy and execution are becoming almost simultaneous these days as Paul was saying. >> It's interesting because that's the trend you're seeing with more data, more automation, but the human plays a much critical role. And just aside on the Tesla example, is well documented. I think I wrote about in a post just this week that during the model three, Elon wanted full automation and had to actually go off scripts and get to humans back in charge 'cause it wasn't working properly. Now they have a balance. But that brings up to part two, which I like, which is this human piece of it. We always talk about skills gaps, there's not enough people to do this, that and the other thing. And talent was a big part of that second half, trust, talent, experiences. That's more of the person's role, either individually as part of a collective group. Is talent the scarce resource now where that's the goal, that's the key 'cause it all could point to that in a way. Skills gap points to, hey, humans are valuable. In fact the value's going up if it's properly architected. What's your reaction to that, guys? Because I think that's something that is not, kind of nuanced point, but it's a feature, not a bug maybe, I don't know. What's your thoughts? >> Yeah, go ahead Jim. >> I was going to say it, we're dramatically underestimating the amount of focus we need to put on talent. That's why we start off that second part of the book, really zooming in on talent. I think you might think that for every hundred dollars that you put into a technology initiative, you might put 50 or 75 into re-skilling initiatives to really compliment that. But what we're seeing is companies need to be much more revolutionary in their focus on talent. We saw economic analysis recently that pointed out that for every $1 you spend on technology, you are likely going to need to spend about $9 on intangible human capital. That means on talent, on getting the best talent, on re-skilling and on changing processes and work tasks. So there's a lot of work that needs to be done. Really that's human focus. It's not just about adopting the technology. Certainly the technology's critical, but we're underestimating the amount of focus that needs to go into the talent factors. >> That's a huge point. >> And I think some of the elements of talent that become really critical that we talked about in the book are becoming a talent creator. We believe the successful companies of the future are going to be able not just to post a job opening and hire people in because there's not going to be enough. And a lot of the jobs that companies are creating don't exist 'cause the technology changing so fast. So the companies that succeed are going to know how to create talent, bring in people, apprentices and such, and shape to tale as they go. We're doing a significant amount of that in our own company. They're going to be learning based organizations where you'll differentiate, you'll get the best employees if you provide better learning environments because that's what employees want. And then democratizing access to technology. Things like Amazon's Honeycode is an example, low-code/no-code development to spread development to wider pools of people. Those types of things are really critical going forward to really unlock the talent potential. And really what you end up with is, yeah, the human talent's important, but it's magnified and multiplied by the power of people, giving them in essence superpowers in using technology in new ways. >> I think you nailed it, that's super important. That point about the force multiplier when you put things in combination, whether it's group constructs, two pizza teams flexing, leveraging the talent. I mean, this is a new configuration. You guys are nailing it there. I love that piece. And I think groups and collectives you're going to start to see a lot more of that. But again, with talent comes trust when you start to have these ephemeral and or forming groups that are forming production systems or experiences. So trust comes up a lot. You guys see the metaverse as an important part there. Obviously metaverse is a pretext to the virtual world where we're going to start to create these group experiences and create new force multipliers. How does the metaverse play into this new radically human world, and what does it mean for the future of business? >> Yeah, I think the metaverse is radically misunderstood to use the word title when we're not with the title of our book. And we believe that the metaverse does have real big potential, massive potential, and I think it'll transform the way we think about digital more so than we've changed our thinking on digital in the last 10 years. So that's the potential of the metaverse. And it's not just about the consumer things, it's about metaverse and the enterprise. It's about the new products you create using distributed ledger and other technologies. And it's about the industrial metaverse of how you bring digital twins and augmented workers online in different ways. And so I believe that it has tremendous potential. We write about that in the book and it really takes radically human to another level. And one way to think about this is cloud is really becoming the operating system of business. You have to build your enterprise around the cloud as you go forward. That's going to shape the way you do business. AI becomes the insight and intelligence in how you work, infused with the human talent and such as we said. And the metaverse then reshapes the experience layers. So you have cloud, AI building on top of this metaverse providing a new way to generate experiences for employees, citizens, consumers, et cetera. And that's the way it unfolds, but trust becomes more important because just as AI raises new questions around trust, every technology raises new questions around trust. The metaverse raises a whole new set of questions. And in the book we outline a five-part framework or five essential parts of the framework around how you establish trust as you implement these new technologies. >> Yeah, we're seeing that about three quarters of companies are really trying to figure out trust, certainly with issues like the metaverse more broadly across their IT so they're focusing on security and privacy, transparency, especially when you're talking about AI systems, explainability. One of the more surprising things that we learned when doing the book, when we were doing the research is that we saw that increasingly consumers and employees want systems to be informed by a sense of humanity. So one company that we've been looking at that's been developing autonomous vehicles, self-driving car systems, they're actually training the system by emulating human behavior. So turning the cameras on test drivers to see how they learn and then training the AI using that sense of humanity 'cause other drivers on the road find human behavior more trustworthy. And similarly, that system is also using explainable AI to actually show which human behaviors that AI system is learning from. Some really interesting innovations happening in that trust space. John. >> Jim, I think you bring up a great point that's worth talking more about. Because you're talking about how human behaviors are being put into the design of new things like machines or software. And we're living in this era of cloud scale, which is compressing this transformation timeline and we've been calling it supercloud, some call it multi-cloud, but it's really a new thing happening where you're seeing an acceleration of the transformation. We think it's going to happen much faster in the next five to 10 years. And so that means these new things are emerging, not just, hey, I'm running a virtual event with chat and some video. It's group behavior, it's groups convening, talking, getting things done, debating, doing things differently. And so this idea of humans informing design decisions or software with low-code/no-code, this completely changes strategy. I mean this is a big point of the book. >> Yeah, no, I go back to one of the, the E in the IDEAS framework is expertise. And we talk about from machine learning to machine teaching, which is exactly that. Machine learning is maybe humans tag data and stuff and feed into algorithms. Machine teaching is how do you really leverage the human expertise in the systems that you develop with AI. One of the examples we give is one of the large consumer platforms that uses human designers to give the system a sense of aesthetic design and product design. A very difficult thing, especially with changing fashion interest and everything else to encode in algorithms and to even have AI do, even if you have fast amounts of data, but with the right human insight and human expertise injected in, you can create amazing new capability that responds to consumers in a much more powerful way. And that's an example of what you just said, John, bringing the two together. >> Well, yeah, it's interesting. I want to to get your thoughts as we get wrap up here soon. How do you apply all these human-centric technologies to the future of business? As you guys talk to leaders in the enterprise of their businesses, as they look at the horizon, they see the the future. They got to start thinking about things like generative AI and how they can bring some of these technologies to the table. We were talking about if open source continues to grow the way it's going, there might not be any code to write, it just writes itself at some point. So you got supply chain issues with security. These are new things you guys are hitting in the book where these are new dynamics, new power dynamics in how things get built. So if you're a business owner and leader, this is a new opportunity, a challenge certainly that is an opportunity. How do you apply all this stuff for business? >> I'll go first then Jim can add in. But the first thing I think starts with recognizing the role that technology does play and investing accordingly in it. So the right technology talent, rethinking the way you do strategy as we talked about earlier and recognizing how you need to build a foundation. That's why the fact you're at re:Invent is so important because companies are, again, rebuilding that operating system of their business in the cloud. And you need that as the foundation to go forward, to do, to build the other types of capabilities. And then I think it's developing those talent systems as well. Do you have the right talent brand? Are you attracting the right employees? Are you developing them in the right way so that you have the right future talent going forward? And then you marry the two together and that's what gives you the radically human formula. >> Yeah. When we were developing that first part of the book, Paul and I did quite a bit of research, and Paul kind of alluded to that research earlier, but one of the things that we saw in really the first year of the pandemic was that there was a lot of first time adoption of intelligent technologies like artificial intelligence. One statistic is that 70% of companies that had never tried AI before went ahead and tried it during the pandemic. So first time adoption rates were way up, but the thing is companies were not trying to do it themselves and to necessarily build an AI department. They were partnering and it's really important to find a partner, often a cloud partner as a way to get started, start small scale, and then scale up doing experiments. So that was one of the key insights that we had. You don't need to do it all yourself. >> If you see the transformation of just AWS, we're here at re:Invent, since we've been covering the events since 2013, every year there's been a thematic thing. It was startups, enterprise, now builders, and now change your company. This year it's continuing that same thing where you're starting to see new things happen. It's not just lift and shift and running a SaaS application on the cloud. People are are changing and refactoring and replatforming categorical applications in for this new era. And we're calling it supercloud, superservices, superapps, 'cause they're different. They're doing different things in leveraging large scale CapEx, large scale talent pools, or talent pools in certain ways. So this is real, something's happening here and we've been talking about it a lot lately. So I have to ask you guys, how does a company know if they're radical enough? Like what is radical? How can I put a pin in that? It's like take a temperature or we like radical enough, what some tell signs can you guys share for companies that are really leaning into this new next inflection point because there are new things happening? How do you know if you're you're pushing the envelope radical enough to take advantage? >> Yeah, I think one. >> You can go ahead, Paul. >> Yeah, I was going to say one of the tests is the impact on your business. You have to start by looking at all this in the context of your business, and is it really taking you to another level? You said it perfectly, John, it used to be we used to talk about migration and workloads to the cloud and things like that. That's still something you need to do. But now our focus with a lot of our customers is on how do you innovate and grow your business in the cloud? What's the platform that you're using for your new digital products and services you're offering to your consumers. I mean it is the business and I think that's the test whether you're being radical enough is on the one hand, are you really using the technology to drive differentiation and real growth and change in your business? And are you equipping people, your human talent with the capabilities they need to perform in very different ways? And those are the two tests that I would give. >> Totally agree. >> Interesting enough, we love this topic and you guys, again, the book is spot on. Very packs of big punch on content, but very relevant in today. And I think one of the things we're looking at is that people who do things differently take advantage of some of these radical approaches like IDEAS, your framework, and understand where they are and what's available and what's coming around the corner. They stand out in the pack or create new business opportunities because the CapEx is taken care of. Now you got your cloud, I mean you're building clouds on top of clouds or something's happening. I think you see it, look at like companies like Snowflake, it's a data warehouse on the cloud. What does that mean? They didn't build a cloud, they used Amazon. So you're starting to see these new things pop up. >> Yeah and that's a good example. And it sounds like a simple thing, data warehouse in the cloud, but the new business capability that a technology like that allows and the portability of being able to connect and use data across cloud environments and such is tremendously powerful. And I think that's why, you talk about companies doing things differently, that's why it's great, again, that you're at re:Invent. If you look at the index of our book, you'll see AWS mentioned a number of times 'cause we tell a lot of customer company stories about how they're leveraging AWS capabilities in cloud and AI to really do transformative things in their business. And I think that's what it's all about. >> Yeah, and one of the things too in the book, it's great 'cause it has the systems thinking, it's got really relevant information, but you guys have seen the movie before. I think one of the wild cards in this era is global. We're global economy, you've got regions, you've got data sovereignty, you're seeing all kinds of new things emerging. Thoughts on the global impact 'cause you take your book and you overlay that to business, like you got to operate all over the world as a human issue, as a geography issue. What's your guys take on the global impact? >> Well that's why you got to think about cloud as one technology. We talked about in the book and cloud is, I think a lot of people think, well, clouds, it's almost old news. Maybe it's been around for a while. As you said, you've been going to re:Invent since 2013. Cloud is really just getting started. And it's 'cause the reasons you said, when you look at what you need to do around sovereign cloud capability if you're in Europe. For many companies it's about multi-cloud capabilities that you need to deploy differently in different regions. And they need to, in some cases for good reason, they have hybrid cloud capability that they match on their own. And then there's the edge capability which comes into play in different ways. And so the architecture becomes very complex and we talk the A in IDEAS is architecture. We talk about all this and how you need to move from the old conception of architecture, which was more static and just modularity was the key thing you thought about. It's more the idea of a living system, of living architecture that's expanding and is what's much more dynamic. And I think that's the way you need to think about it as you manage in a global environment today with the pace of technology advancement. >> Yeah, the innovation is here. It's not stopping. How do you create some defacto standards while not stunting the innovation is going to be a big discussion as these new flipped assumptions start to generate more activity. It's going to be very interesting to watch. Gentlemen, thank you so much for spending the time here on theCUBE as we break down your new book, "Radically Human" and how business leads can flip the script on their business assumptions and put ideas and access to work. This is a big part of the cloud show at re:Invent. Thanks so much for sharing and congratulations on a great book. >> Thanks, John. And just one point I'd add is that one of the things we do talk about in talent is the need to reskill talent. People who need to be relevant in the rapidly changing future. And that's one area where I think we all as institutions, as communities and individuals need to do more is to help those that need to reskilling. And the final point I mentioned is that we've mentioned at the end of the book that all proceeds from the book are being donated to NGOs and nonprofits that are focused on reskilling those who need a skill refresh in light of the radically human change in technology that's happening. >> Great. Buy the book. Proceeds go to a great cause and it's a very relevant book. If you're in the middle of this big wave that's coming. this is a great book. There's a guidepost and also give you some great ideas to reset, reflip the scripts, refactor, replatform. Guys, thanks for coming on and sharing. I really appreciate it. Again, congratulations. >> Thanks, John. >> Thanks, John. Great discussion. >> You're watching theCUBE here covering the executive forum here at AWS re:Invent '22. I'm John Furrier, you're host with Accenture. 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)

(upbeat music) >> Hello, beautiful cloud community, and welcome back to AWS reInvent. It is day four here in fabulous Las Vegas, Nevada. My voice can feel it, clearly. I'm Savannah Peterson with my co-host Paul Gillin. Paul, how you doing? >> Doing fine, Savannah. >> Are your feet about where my voice is? >> Well, getting little rest here as we have back to back segments. >> Yeah, yeah, we'll keep you off those. Very excited about this next segment. We get to have a chat with one of our very favorite analysts, Keith Townsend. Welcome back to theCUBE. >> Savannah Page. I'm going to use your south names, Savannah Page. Thank you for having me, Paul. Good to see you again. It's been been too long since CubeCon Valencia. >> Valencia. >> Valencia. >> Well at that beautiful lisp, love that. Keith, how's the show been for you so far? >> It has been great. I tweeted it a couple of days ago. Amazon reInvent is back. >> Savannah: Whoo! Love that. >> 50, 60 thousand people, you know? After 40 thousand, I stop countin'. It has been an amazing show. I don't know if it's just the assignment of returning, but easily the best reInvent of the four that I've attended. >> Savannah: Love that. >> Paul: I love that we have you here because, you know, we tend to get anchored to these desks, and we don't really get a sense of what's going on out there. You've been spending the last four days traversing the floor and talking to people. What are you hearing? Are there any mega themes that are emerging? >> Keith: So, a couple of mega themes is... We were in the Allen session with Adam, and Adam bought up the idea of hybrid cloud. At the 2019 show, that would be unheard of. There's only one cloud, and that's the AWS cloud, when you're at the Amazon show. Booths, folks, I was at the VMware booth and there's a hybrid cloud sign session. People are talking about multicloud. Yes, we're at the AWS show, but the reality that most customers' environments are complex. Adam mentioned that it's hybrid today and more than likely to be hybrid in the future in Amazon, and the ecosystem has adjusted to that reality. >> Paul: Now, is that because they want sell more outposts? >> You know, outpost is definitely a part of the story, but it's a tactile realization that outposts alone won't get it. So, you know, from Todd Consulting, to Capgemini, to PWC, to many of the integrations on the show floor... I even saw company that's doing HP-UX in the cloud or on-prem. The reality is these, well, we've deemed these legacy systems aren't going anywhere. AWS announced the mainframe service last year for converting mainframe code into cloud workloads, and it's just not taking on the, I think, the way that the Amazon would like, and that's a reality that is too complex for all of it to run in the cloud. >> Paul: So it sounds like the strategy is to envelop and consume then if you have mainframe conversion services and HP-UX in the cloud, I mean, you're talking about serious legacy stuff there. >> Keith: You're talking about serious legacy stuff. They haven't de-emphasized their relationship with VMware. You know, hybrid is not a place, it is a operating model. So VMware cloud on AWS allows you to do both models concurrently if you have those applications that need layer two. You have these workloads that just don't... SAP just doesn't... Sorry, AWS, SAP in the cloud and EC2 just doesn't make financial sense. It's a reality. It's accepting of that and meeting customers where they're at. >> And all the collaboration, I mean, you've mentioned so many companies in that answer, and I think it's very interesting to see how much we're all going to have to work together to make the cloud its own operating system. Cloud as an OS came up on our last conversation here and I think it's absolutely fascinating. >> Keith: Yeah, cloud is the OS I think is a thing. This idea that I'm going to use the cloud as my base layer of abstraction. I've talked to a really interesting startup... Well actually it's a open source project cross plane of where they're taking that cloud model and now I can put my VMware vsphere, my AWS, GCP, et cetera, behind that and use that operating model to manage my overall infrastructure. So, the maturity of the market has fascinated me over the past year, year and a half. >> It really feels like we're at a new inflection point. I totally agree. I want to talk about something completely different. >> Keith: Okay. >> Because I know that we both did this challenge. So one of the things that's really inspiring quite frankly about being here at AWS reInvent, and I know you all at home don't have an opportunity to walk the floor and get the experience and get as many steps as Paul gets in, but there's a real emphasis on giving back. This community cares about giving back and AWS is doing a variety of different activations to donate to a variety of different charities. And there's a DJ booth. I've been joking. It kind of feels like you're arriving at a rave when you get to reInvent. And right next to that, there is a hydrate and help station with these reusable water bottles. This is actually firm. It's not one of those plastic ones that's going to end up in the recycled bin or the landfill. And every single time that you fill up your water bottle, AWS will donate $3 to help women in Kenya get access to water. One of the things that I found really fascinating about the activation is women in sub-Saharan Africa spend 16 million hours carrying water a day, which is a wild concept to think about, and water is heavy. Keith, my man, I know that you did the activation. They had you carrying two 20 pound jugs of water. >> Keith: For about 15 feet. It's not the... >> (laughs) >> 20 pound jugs of water, 20 gallons, whatever the amount is. It was extremely heavy. I'm a fairly sizeable guy. Six four, six five. >> You're in good shape, yeah. >> Keith: Couple of a hundred pounds. >> Yeah. >> Keith: And I could not imagine spending that many hours simply getting fresh water. We take it for granted. Every time I run the water in the sink, my family gets on me because I get on them when they leave the sink water. It's like my dad's left the light on. If you leave the water on in my house, you are going to hear it from me because, you know, things like this tickle in my mind like, wow, people walk that far. >> Savannah: That's your whole day. >> Just water, and that's probably not even enough water for the day. >> Paul: Yeah. We think of that as being, like, an 18th century phenomenon, but it's very much today in parts of Sub-Saharan Africa. >> I know, and we're so privileged. For me, it was just, we work in technology. Everyone here is pretty blessed, and to do that activation really got my head in the right space to think, wow I'm so lucky. The team here, the fabulous production team, can go refill my water bottle. I mean, so simple. They've also got a fitness activation going on. You can jump on a bike, a treadmill, and if you work out for five minutes, they donate $5 to Fred Hutch up in Seattle. And that was nice. I did a little cross-training in between segments yesterday and I just, I really love seeing that emphasis. None of this matters if we're not taking care of community. >> Yeah, I'm going to go out and google Fred Hutch, and just donate the five bucks. 'Cause I'm not, I'm not. >> (laughs) >> I'll run forever, but I'm not getting on a bike. >> This from a guy who did 100 5Ks in a row last year. >> Yeah. I did 100 5Ks in a row, and I'm not doing five minutes on a bike. That's it. That's crazy, right? >> I mean there is a treadmill And they have the little hands workout thing too if you want. >> About five minutes though. >> Savannah: I know. >> Like five minutes is way longer than what you think it is. >> I mean, it's true. I was up there in a dress in sequence. Hopefully, I didn't scar any anyone on the show floor yesterday. It's still toss up. >> I'm going to take us back to back. >> Take us back Paul. >> Back to what we were talking about. I want to know what you're hearing. So we've had a lot of people on this show, a lot of vendors on the show who have said AWS is our most important cloud partner, which would imply that AWS's lead is solidifying its lead and pulling away from the pack as the number one. Do you hear that as well? Or is that lip service? >> Keith: So I always think about AWS reInvent as the Amazon victory lap. This is where they come and just thumb their noses at all the other cloud providers and just show how far ahead they're are. Werner Vogels, CTO at Amazon's keynotes, so I hadn't watched it yet, but at that keynote, this is where they literally take the victory lap and say that we're going to expose what we did four or five years ago on stage, and what we did four or five years ago is ahead of every cloud provider with maybe the exception of GCP and they're maybe three years behind. So customers are overwhelmingly choosing Amazon for these reasons. Don't get me wrong, Corey Quinn, Gardner folks, really went at Adam yesterday about Amazon had three majors outages in December last year. AWS has way too many services that are disconnected, but from the pure capability, I talked to a born in the cloud data protection company who could repatriate their data protection and storage on-prem private data center, save money. Instead, they double down on Amazon. They're using, they modernize their application and they're reduced their cost by 60 to 70%. >> Massive. >> This is massive. AWS is keeping up with customers no matter where they're at on the spectrum. >> Savannah: I love that you use the term victory lap. We've had a lot of folks from AWS here up on the show this week, and a couple of them have said they live for this. I mean, and it's got to be pretty cool. You've got 70 thousand plus people obsessed with your product and so many different partners doing so many different things from the edge to hospital to the largest companies on earth to the Israeli Ministry of Defense we were just talking about earlier, so everybody needs the cloud. I feel like that's where we're at. >> Keith: Yeah, and the next step, I think the next level opportunity for AWS is to get to that analyst or that citizen developer, being able to enable the end user to use a lambda, use these data services to create new applications, and the meanwhile, there's folks on the show floor filling that gap that enable develop... the piece of owner, the piece of parlor owner, to create a web portal that compares his prices and solutions to other vendors in his area and adjust dynamically. You go into a restaurant now and there is no price menu. There's a QR code that Amazon is powering much of that dynamic relationship between the restaurateur, the customer, and even the menu and availability. It's just a wonderful time. >> I always ask for the print menu. I'm sorry. >> Yeah. You want the printed menu. >> Look down, my phone doesn't work. >> Gimme something I could shine my light on. >> I know you didn't have have a chance to look at Vogel's keynote yet, but I mean you mentioned citizen developer. One of the things they announced this morning was essentially a low code lambda interface. So you can plug, take your lamb dysfunctions and do drag and drop a connection between them. So they are going after that market. >> Keith: So I guess I'll take my victory lap because that was my prediction. That's where Amazon's next... >> Well done, Keith. >> Because Lambda is that thing when you look at what server list was and the name of the concept of being, not having to have to worry about servers in your application development, the logical next step, I won't take too much of a leap. That logical first step is, well, code less code. This is something that Kelsey Hightower has talked about a lot. Low code, no code, the ability to empower people without having these artificial barriers, learning how to code in a different language. This is the time where I can go to Valencia, it's pronounced, where I can go to Valencia and not speak Spanish and just have my phone. Why can't we do, at business value, for people who have amazing ideas and enable those amazing ideas before I have to stick a developer in between them and the system. >> Paul: Low-code market is growing 35% a year. It's not surprising, given the potential that's out there. >> And as a non-technical person, who works in technology, I've been waiting for this moment. So keep predicting this kind of thing, Keith. 'Cause hopefully it'll keep happening. Keith, I'm going to give you the challenge we've been giving all of our guests this week. >> Keith: Okay. >> And I know you're going to absolutely crush this. So we are looking for your 32nd Instagram real, sizzle hot take, biggest takeaway from this year's show. >> So 32nd Instagram, I'll even put it on TikTok. >> Savannah: Heck yeah. >> Hybrid cloud, hybrid infrastructure. This is way bigger than Amazon. Whether we're talking about Amazon, AWS, I mean AWS's solutions, Google Cloud, Azure, OCI, on-prem. Customers want it all. They want a way to manage it all, and they need the skill and tools to enable their not-so-growing work force to do it. That is, that's AWS reInvent 2019 to 2022. >> Absolutely nailed it. Keith Townsend, it is always such a joy to have you here on theCUBE. Thank you for joining us >> Savannah Page. Great to have you. Paul, you too. You're always a great co-host. >> (laughs) We co-hosted for three days. >> We've got a lot of love for each other here. And we have even more love for all of you tuning into our fabulous livestream from AWS reInvent Las Vegas, Nevada, with Paul Gillin. I'm Savannah Peterson. You're watching theCUBE, the leader in high tech coverage. (upbeat music)

(gentle music) >> Good morning, fellow cloud nerds, and welcome back to day four of AWS re:Invent. We are here in fabulous Las Vegas, Nevada. I'm joined by my cohost Paul Gillin. I'm Savannah Peterson. We're on theCUBE. Paul, how you doing? You doing well? >> We're staggering to the conclusion. >> (laughing) It's almost the end then. >> And I say that only talking about my feet. This event is still going strong. The great keynote this morning by Werner Vogels about system architecture and really teaching 70,000 people how to design systems. AWS really taking advantage of this event to educate its customer base and- >> So much education here. >> Yeah, and that was a fantastic sort of cap to the keynotes we've seen this week. >> Yeah, I'm impressed Paul, our first AWS re:Invent. I think we're doing pretty good all things considered. >> Well, we're still alive. >> And our next guest actually looks like he's been sleeping this week, which is remarkable. Please welcome Ayal to the show. Ayal, how you doing today? >> I'm good, I'm good. Thank you for having me. >> It's our pleasure. You're with Anjuna. >> Yes. >> Just in case the audience isn't familiar, what's Anjuna? >> Anjuna is an enterprise security company. We focus in the space of confidential computing. And essentially we enable people to run anything they want in any environment with complete security and privacy. >> Which is a top priority for pretty much every single person here. >> Ayal: That is true. >> Now, confidential computing, I keep hearing that term. >> Yeah, let's go there. >> Is it, I mean, is there a trademark associated with it? Is there a certification? Is the concept or is it actually a set of principles and frameworks? >> Savannah: Give us the scoop. >> Yeah, so confidential computing is essentially a set of technologies that were added to the hardware itself, to the CPU, and now to GPUs by the hardware vendors. So Intel, AMD, Arm, Nvidia AWS with their own hardware solution for this. And essentially what it allows you to do is to run workloads on top of the CPU and the GPU in a way that even if somebody gets full access to the infrastructure, you know, root access, physical access, they're not going to have any access to the data and the code running on top of it. And as you can imagine in cloud environments, this is extremely, extremely (indistinct). >> And this done through encryption? >> It involves encryption. If you go one step deeper, it involves protecting the data while it's running, data and memory, when the application is processing it. Which is always been the missing piece in terms of where you protect data. >> So I got excited when I looked at the show notes because you are serving some of the most notoriously security strict customers in the market. Can you tell us about the Israeli Ministry of Defense? >> Sure. So essentially what we do with the Israel Ministry of Defense and other customers, especially on the on the government side, one of the challenges government has is that they have to, if they want security and privacy in the cloud, they have to use something like a gov cloud. And sometimes that makes sense, but sometimes either the gov cloud is not ready because of legal battles or just it takes time to set it up. In some countries, it's just not going to make financial sense for the clouds to create a gov cloud. So what we do is we enable them to run in the commercial cloud with the security and privacy of a gov cloud. >> Was that, I can imagine, so you took them to the public cloud, correct? >> Ayal: Yes. >> Was that a challenging process? When I think of national security, I can imagine a business transformation like that would be a little nerve-wracking. >> Oh, definitely. It was a long process and they went like, "This is probably one of the best security experts on the planet." And they went extremely deep in making sure that this aligns with what they would be able to do to actually move sensitive data to the commercial cloud. Which, obviously, that the requirements are higher than anything I've ever seen from anybody else. And the fact that they were willing to publicly talk about this and be a public reference for us shows the level of confidence that they have in the underlying technology, in the security and privacy that this allows them to achieve. >> We still hear reservations, particularly from heavily regulated industries, about moving into the cloud. Concerns about security, data ownership, shared responsibility. >> Ayal: Yes. >> Are those real, are those valid? Or is the technology foundation now strong enough that they should not be worried about those things? >> Yeah, this is an excellent question, because the the shared responsibility model, is exactly sort of the core of what this is about. The shared responsibility model essentially means the cloud's, sort of by definition, the cloud is somebody else managing the infrastructure for you, right? And if somebody's managing the infrastructure for you they have full access to what you do on top of that infrastructure. That's almost the definition. And that's always been sort of one of the core security problems that was never solved. Confidential computing solves this. It means that you can use the cloud without the clouds having any access to what you do on top of their infrastructure. And that means that if the clouds get hacked, your data is safe. If an employee of the cloud decides to get access to your data, they can't. They just don't have any access. Or if the government comes to the cloud with a subpoena, the clouds can't give them access to your data, which is obviously very important for European customers and other customers outside of the US. So this is essentially what confidential computing does and it allows to break that shared responsibility model, where you as the customer get full control of your data back. >> Now, do you need the hardware foundation to do that? Or are you solving this problem in software? >> No. So we do need a hardware foundation for this which is now available in every cloud. And it's part of every server CPU that Intel ship, that AMD ship. This is part of almost every data center in AWS. But what we bring to the table at Anjuna, is every time there was a fundamental shift in computer architecture, you needed a software stack on top of it to essentially make it usable. And I think the best last example was VMware, right? But virtualization was extremely powerful technology that nobody was using until VMware built a software stack to make it super simple to virtualize anything. And to some extent that was the birth of the public cloud. We would never have a public cloud without virtualization. We're seeing the same level of shift now with confidential computing on the hardware side. And all the large players are behind this. They're all part of the confidential computing consortium that pushes this. But the challenge customers are running into, is for them to go use this they have to go refactor and rebuild every application. >> Why? >> And nobody's going to go do that. And that's exactly what we help them with. >> Yeah. >> In terms of why, as part of confidential computing, what it essentially means is that the operating system is outside the cross cycle. You, you don't want to cross the operating system because you don't want somebody with root access to have any access to your data. And what this means is every application obviously communicates with the operating system pretty often, right? To send something to the network or some, you know, save something to the file system, which means you have to re-architect your application and break it into two: a confidential piece and a piece that's communicating with the operating system and build some channel for the two sides to communicate. Nobody's going to go do that for every application. We allow you to essentially do something like Anjuna run application and it just runs in a confidential computing environment. No changes. >> Let's talk a little bit more about that. So when we're thinking about, I think we've talked a little bit about it, but I think there's a myth of control when we're talking about on-prem. Everybody thinks that things are more secure. >> Right. >> It's not the case. Tell us how enterprise security changes once when a customer has adopted Anjuna. >> Yeah, so I think you're absolutely right. I think the clouds can put a lot more effort and expertise into bringing security than the data center. But you definitely have this sort of more sense of security in your data center because you own the full stack, right? It's your people, it's your servers, it's your networks in the cloud >> Savannah: It's in your house, so to speak. Yeah. >> Exactly. And the cloud is the third party managing all that for you. And people get very concerned about that, and to some extent for a good reason. Because if a breach happens regardless of whose fault it is, the customer's going to be the one sort of left holding the bag and dealing with the aftermath of the breach. So they're right to be concerned. In terms of what we do, once you run things in confidential computing, you sort of solve the core problem of security. One of the core problems of security has always been when somebody gets access to the infrastructure especially root access to the infrastructure, it's game over. They have access to everything. And a lot of how security's been built is almost like these bandaid solutions to try to solve. Like perimeter security is how do I make sure nobody gets access to the infrastructure if they don't need to, right? All these detection solutions is once they're in the infrastructure, how do I detect that they've done something they shouldn't have? A lot of the vulnerability management is how do I make sure everything is patched? Because if somebody gets access how do I make sure they don't get root access? And then they really get access to everything. And conversation computing solves all of that. It solves the root cause, the root problem. So even if somebody gets root access, even if somebody has full access to the infrastructure, they don't have access to anything, which allows you to one, essentially move anything you want to the public cloud regardless, of the sensitivity of it, but also get rid of a lot of these other sort of bandaid solutions that you use today to try to stop people from getting that access because it doesn't matter anymore. >> Okay. So cyber security is a one and a half trillion dollar industry, growing at over 10% a year. Are you saying that if organizations were to adopt confidential computing universally that industry would not be necessary? >> No, I think a lot of it will have to change with confidential computing. Exactly, like the computer industry changed with virtualization. If you had asked when VMware just got started if the data centers are going to like, "Oh, this is going to happen," I don't think anybody could have foreseen this. But this is exactly what virtualization did. Confidential computing will change the the security industry in a massive way, but it doesn't solve every security problem. What it essentially does is it moves the perimeter from the machine itself, which used to be sort of the smallest atom, to be around the workload. And what happens in the machine doesn't matter anymore. You still need to make sure that your workload is protected. So companies that make sure that you write secure code are still going to be needed. Plus you're going to need security for things like denial of service. Because if somebody runs, you know, gets access to their infrastructure, they can stop you from running but your data is going to be protected. You're not going to need any of these data protection solutions around the box anymore. >> Let's hang out there for a second. Where do you see, I mean what an exciting time to be you, quite frankly, and congratulations on all of your success so far. Where are we going in the next two to five years? >> Yeah, I think with confidential computing the first thing that this is going to enable is essentially moving everything to the public cloud. I think the number one concern with the cloud kind of like you mentioned, is security and privacy. >> Savannah: Right. >> And this essentially eliminates that need. And that's why the clouds are so excited about this. That's why AWS talks about it. And I think Steve Schmidt, the of CISO of Amazon, used to be the CISO of AWS, talks about confidential computing as the future of data security and privacy. And there's a reason why he does that. We've seen other clouds talk about this and push this. That's why the clouds are so excited about this. But even more so again, I think over time this will allow you to essentially remove a lot of the security tools that exist there, kind of reimagine security in a better way. >> Savannah: Clean it up a little bit. Yeah. >> Exactly. And over time, I think it's going to change the world of compute even more because one of the things this allows you to do is the closer you get to the edge, the more security and privacy problems you have. >> Savannah: Right. And so many variables. >> Exactly. And it's basically out there in the wild, and people can get physical access. >> Quite literally a lot of the time, yeah. >> Exactly. And what confidential computing does, it provides that complete security and privacy regardless of even if somebody has physical access, which will allow you to move workloads much closer to the edge or to the edge itself instead of sending everything back to your backend to process things. >> We have interviewed a number of security companies here during this event, and I have to say, confidential computing has never come up. They don't talk about it. Why is that? Is there an awareness problem? >> Savannah: Are they threatened? >> Yeah, so I think the biggest, and to some extent, this is exactly like I kept bringing up VMware. Like VMware's, you can think of Salesforce, when they talked about SaaS, they sort of embedded the concept of SaaS. No other company on the planet was talking about SaaS. They created a new category and now almost everything is SaaS. VMware with virtualization, right? Nobody was using it, and now, almost everything is virtualized. Confidential computing is a new way of doing things. It's basically a kind have to shift the way of how you think about security and how you think about privacy. And this is exactly what we're seeing. I don't expect other security companies to talk about this. And to some extent, one of the things I've realized that we're almost more of an infrastructure company than a security company, because we bake security to be part of the infrastructure. But we're seeing more and more the clouds talk about this. The CPU vendors talk about this. We talk to customers more and more. Like almost every large bank I talk to now has a confidential computing strategy for 2023. This is now becoming part of the mainstream. And yeah, security companies will have to adopt or die if they don't fit into that new world that it is going to create >> This is the new world order, baby, get on the train or get left behind. >> Ayal: Exactly. >> I love it. This is a really fascinating conversation and honestly what you're doing makes so much sense. Yeah, you don't need me to validate your business model, but I will, just for the sake of that. >> Thank you. >> We have a new challenge here at re:Invent on theCUBE where we are looking for your 30 second Instagram reel hot take, thought leadership. What's the biggest theme, key takeaway from the show or experience this year for you? >> Yeah, so for me, obviously focusing on confidential computing. I think this is just going to be similar to how no network was encrypted 10 years ago and today every network is encrypted with TLS and HTTPS. And how five years ago no disc was encrypted, and today every disc is encrypted with disc encryption. The one missing piece is memory. Memory is where data is exposed now. I think within a few years all memory is going to be encrypted and it's just going to change two industries: the security industry as well as the computer industry. >> Paul: Does that include cache memory? >> What's that? >> Does that include cache memory? >> That is encrypting the RAM essentially. So everything, this is the one last place where data is not encrypted, and that's exactly what confidential computing brings to the table. >> Are there any performance concerns with encrypting memory? >> That's a phenomenal question. One of the really nice things about confidential computing is that the heavy lifting is done by the hardware vendors themselves as part of the hardware and not part of the critical path in the CPU. It's very similar to the TLS acceleration cards, if you remember those, which allows us to be extremely, extremely performant. And that's why I think this is going to be for everything. Because every time we had a security solution that had no performance impact and was super simple to use it just became the default, because why wouldn't you use it for everything? >> Ayal, this has been absolutely fascinating. We could talk to you all day. Unfortunately, we're out of time. But really thank you so much for coming on the show. Now, we feel more confident in terms of our confidential computing knowledge and definitely learned a lot. Thank all of you for tuning in to our fantastic four day live stream at AWS re:Invent here in Sin City with Paul Gillin. I'm Savannah Peterson. You're watching theCUBE, the leader in high tech coverage. (gentle music)

(upbeat music) >> Hey, welcome back everyone, live coverage here. Re:invent 2022. I'm John Furrier, host of theCUBE. Two sets here. We got amazing content flowing. A third set upstairs in the executive briefing area. It's kind of a final review, day three. We got a special guest for do a re:Invent review. Muddu Sudhakar CEO founder of Aisera. Former multi-exit entrepreneur. Kind of a CUBE analyst who's always watching the floor, comes in, reports on our behalf. Thank you, you're seasoned veteran. Good to see you. Thanks for coming. >> Thank you John >> We've only got five minutes. Let's get into it. What's your report? What are you seeing here at re:Invent? What's the most important story? What's happening? What should people pay attention to? >> No, a lot of things. First all, thank you for having me John. But, most important thing what Amazon has announced is AIML. How they're doubling down on AIML. Amazon Connect for Wise. Watch out all the contact center vendors. Third, is in the area of workflow, low-code, no-code, workflow automation. I see these three are three big pillars. And, the fourth is ETL and ELTs. They're offering ETL as included as a part of S3 Redshift. I see those four areas are the big buckets. >> Well, it's not no ETL to S3. It's ETL into S3 or migration. >> That's right. >> Then the other one was Zero ETL Promise. >> Muddu: That's right. >> Which there's a skeptical group out there that think that's not possible. I do. I think ultimately that'll happen, but what's your take? >> I think it's going to happen. So, it's going to happen both within that data store as well as outside the data store, data coming in. I think that area, Amazon is going to slowly encroach into the whole thing will be part offered as a part of Redshift and S3. >> Got it. What else are you seeing? Security. >> Amazon Connect Amazon Connect is a big thing. >> John: Why is that so important? It seems like they already have that. >> They have it, but what they're doing now is to automate AI bots. They want to use AI bot to automate both agent assist, AI assist, and also WiseBot automation. So, all the contact center Wise to text they're doubling down. I think it's a good competition to Microsoft with the Nuance acquisition and what Zoom is doing today. So, I think within Microsoft, Zoom, and Amazon, it's a nice competition there. >> Okay, so we had Adam's keynote, a lot of security and data, that was big. Today, we had Swami, all ML, 13 announcements. Adam did telegraph to me that he was going to to share the love. Jassy would've probably taken most of those announcements, we know that. Adam shared the love. So, Adam, props to you for sharing the love with Swami and some of those announcements. We had 13. So, good for him. >> Yes. >> And then, we had Aruba with the partners. What's your take on the partner network? A revamp? >> No, I think Aruba did a very good job in terms of partners. Look at these, one of the best stores that Amazon does. Even the companies like me, I'm a startup company. They know how to include the partners, drive more revenue with partners, sell through it, more expansion. So, Amazon is still one of the best for startup to mid-market companies to go into enterprise. So, I love their partnership angle. >> One of the things I like that she said that resonated with me 'cause, I've been working with those teams, is it's unified, clear roles, but together. But, scaling the support for partners and making money for partners. >> That's right. >> That is a huge deal. Big road ahead. She's focused on it. She says, no problem. We want to scale up the business model of the channel. >> Muddu: That's right. >> The resources, so that the ecosystem can make money and serve customers or serve customers and make money. >> Muddu: That's right. And, I think one thing that they're always good is Marketplace. Now, they're doing is outside of market with ISV, co-sell, selling through. I think Amazon really understood that adding the value so that we make money as a partners and they make money, incrementally. So, I think Aruba is doing a very good job. I really like it. >> Okay, final question. What's going on with Werner? What do you expect to hear tomorrow from a developer front? Not a lot of developer productivity conversations at this re:Invent. Not a lot of people talking about software supply chain although Snyk was on theCUBE earlier. Developer productivity. Werner's going to speak to that tomorrow we think. Or, I don't know. What do you think? >> I think he's going talk something called generative AI. Rumored the people are talking about the code will be returned by the algorithms now. I think if I'm Werner, I'm going to talk about where the technology is going, where the humans will not be writing code. So, I think AI is going to double down with Amazon more on the generative AI. He's going to try a lot about that. >> Generative AI is hot. We could have generative CUBE, no hosts. >> Muddu: Yes, that would be good. >> No code, no host >> Muddu: Have an answer, John Software. (both laugh) >> We're going to automate everything. Muddu, great to hear from you. Thanks for reporting. Anything else on the ecosystem? Any observations on the ecosystem and their opportunity? >> So, coming from my side, if I'd to provide an answer, today we have like close to thousand leads that are good. Most of them are financial, healthcare. Healthcare is still one of the largest ones I saw in this conference. Financials, and then, I'm started seeing a lot more on the manufacturing. So, I think supply chain, they were not so. I think Amazon is doing fantastic job with financial, healthcare, and supply chain. >> Where is their blind spot if you had to point that one? >> I think media and entertainment. Media and entertainment is not that big on Amazon. So, I think we should see a lot more of those. >> Yeah, I think they need to look at that. Any other observations? Hallway conversations that are notable that you would like to share with folks watching? >> I think what needs to happen is with VMware, and Citrix desktop, and Endpoint Management. That's their blind spot. So far, nobody's really talking about the Endpoints. Your workstation, laptop, desktop. Remember, that was big with VMware. Nope, that's not a thought of conversation in email right now. So, I think that area is left behind by Amazon. Somebody needs to go after that white space. >> John: And, the audience here is over 50,000. Big numbers. >> Huge. One of the best shows, right? I mean after Covid. It's by far the best show I've seen in this year. >> All right, if you'd do a sizzle reel, what would it be? >> Sizzle reel. I think it's going to be a lot more on, as I said, generative to AI is the key word to watch. And, more than that, low-code no-code workflow automation. How do you automate the workflows? Which is where ServiceNow is fairly strong. I think you'll see Amazon and ServiceNow playing in the workflow automation. >> Muddu, thank you so much for coming on theCube sharing. That's a wrap up for day three here in theCUBE. I'm John Furrier, Dave Vellante for Lisa Martin, Savannah Peterson, all working on Paul Gillan and John Walls and the whole team. Thanks for all your support. Wrapping it up to the end of the day. Pulling the plug. We'll see you tomorrow. (upbeat music)

(upbeat music) >> Okay, welcome back, everyone, it's CUBE's live coverage. I'm John Furrier, host of theCUBE here with Paul Gillen. Got a great guest coming up here, talking about cloud security, all things going on in the cloud. Paul, great day. How you doing? How you holding up? >> I'm about at the end of my, running on fumes, John. (John laughs) >> Let's bring it home. >> And we got another day coming up. >> Day three, let's bring it home, come on, let's go. Lot of energy. >> Lot of energy on the floor and certainly a lot of talk about security at this conference. Busy, busy market, lots of vendors. And one of the more notable ones, Cohesity, recently introduced a brand new suite, a brand new approach to security that combines data protection and security and backup. With us, to talk about that is Amith Nair, who is the Senior Vice president and General Manager of cloud at Cohesity. Welcome. >> Thank you very much. Thanks for having me, Paul and John. >> So tell us about DataHawk, your new product. >> Yeah, just to set a little bit of perspective on Cohesity, and how we think about DataHawk and security in general is, Cohesity is the leading solution for data security and management. And if you think about all the pillars that we provide in terms of solution around that data solutions, so we have data protection, data security, data access, data mobility and data insights. So the focus for us over the last many months was really to make our data security solutions really strong. So generally when customers think about security, they think about starting with security at the perimeter, on the edge. They think about firewalls, network layer, and so on and so forth. But in the end, what they're really trying to protect is the data that aligns to what they're really trying to save. Right? So DataHawk was formulated and built in order to help extend our existing solutions to provide additional security, layers of security, and also work with partners to enable doing that. Many months ago, we released this product called FortKnox, which is our cyber vaulting solution. One that customers really love and use today. >> It's an air gap solution, right? >> It's an air gap solution with forum capabilities, and so on. Extremely liked by customers, very well adopted, and we extended that to provide lots more data classification capabilities, and ransomware checks as well. So malware checks in the product itself in terms of what it is being backed up. And is there malware in the backed up data and so on? >> Maybe, we can talk about the evolution of ransomware, because ransomware is getting a lot more sophisticated. It used to start at the end point and then penetrate into the network. Increasingly, now, we're seeing it move into the backup, and actually corrupt backup files before moving into the production data. How is ransomware evolving? >> I mean, there's a ransomware attack that's happening right now as we speak, right? What is it? One in every 11 seconds or so on. And it's getting very, very sophisticated. And you're absolutely right, the target early on used to be the network, or the firewall and so on and so forth. Now, it is the backup. So you have to be very smart about how you protect your backup and if you do get attacked, which a lot of CSOs are starting to realize, it's not about just preventing. But it's also what do you do if it does happen? How can you be resilient in the case of an attack? How can you recover if something happens? And that's where we come in to play as well. >> What's some of the state of the art posture, security posture and cyber resilient techniques? Can you share your observations on what are some of the current state of the art positions? I mean, besides they buy everything, and they want everything, but we're looking at a cost reduction, slow down in the recession, customer's going to look at belt tightening. We heard that from Adam Celeste. Has that changed or enhanced the posture, and impact to the resiliency on the cyber side? >> Yeah, I think customers are getting really smart in terms of how they're adopting cloud. We saw a tremendous amount of growth from a cloud usage perspective, I think, over the last two years and through the pandemic. But now they're getting smart about, "How am I consuming that cloud?" Which is where the consumption's starting to slow down. But that does not mean they're not using cloud, right? And security from a cloud perspective is way different from the old world, which was very static. You're in a completely dynamic environment now. So everybody talks about zero trust security. You have to have that level of no trust, trust nothing, authenticate everything, in terms of how you approach what connects to your network, what services connect to your network and so on. And we follow the same approach, but we also believe that one solution cannot solve it. And which is why we had this announcement around our security advisory council, and security partnership and alliances, where we are providing data to additional solutions, or insights into other security solutions that will help the customer in the end. We talked about how some customers have anywhere between 50 to 70 vendors on their network for security. We want to reduce that noise and that clutter, especially when it comes to cost and expenses. Right? >> Awesome. I want to ask you a personal question if you don't mind. You're new, relatively new to Cohesity, SVP, Senior Vice President, General Manager of the cloud. Obviously, AWS, the biggest cloud, there's other clouds. What attracted you to Cohesity? What was the key thing that attracted you to this company to take a leadership role as this next wave comes in for cloud, and security and what Cohesity is doing? >> Yeah, there are a couple of reasons. Number one and most important was the maturity of the product and the quality of the product. Mohit Aron was our founder, you know, known as the grandfather or as the father of hyperconverge networking. >> He's a legend. >> He's a legend, right? >> (laughs) Just say it. >> And he's built a phenomenal set of technologies that really helps customers and that brings me to the second point, which is customers. We are a customer-obsessed company. And as I was talking to Mohit and Sanjay was our CEO, and Lynn was our CMO and others in the company, it was very evident to me that the core DNA of the company is really helping our customers be successful. Those two things put together. And the third thing, really, I am very culturally-obsessed when it comes to how organizations are run. We have a very strong culture in terms of how we treat employees, how we build the right set of products, and how we go to market. Right? Those three things put together, helped me really make a decision. Obviously, the leadership team within Cohesity was top notch as well. So every one of them that I spoke to had that same core belief system. That had helped a lot. >> Sanjay's a good friend of theCUBE, we've interviewed him many times with VMware. Paul, you know Sanjay's, he loves to get on cam. We hope to have him on tomorrow, if we can get him on the calendar. But you know, Sanjay told me one time, "I never missed a quarter." In his SAP, VMware, he's proud. We'll see, Paul, we're- >> Well, I'm going to hold him to that. >> We better not miss a quarter, I'm going to hold him to that. How's business? How's it, healthy? >> It's been great. We are seeing consistent demand for all of our products. As you can see, we continue to release new products into the market that customers are asking for. We are listening to what customers really want. Our roadmap is really based on two things, customer demand and market and where the market is growing. We have to stay on top of how the market is evolving based on the new challenges that customers are facing. Right? So markets, we are doing really good, company continues to grow and Sanjay has been fantastic in terms of driving that leadership. >> Yeah, he's a good driver. And again, he's Mr. Quarter for a reason, he's disciplined. >> (laughs) Very disciplined. >> Another reason, initiative, Cohesity's is the data security alliance. You put together a group of about a dozen security companies. Getting security companies to work with each other is always a challenge. How did you convince them to join with you? >> Well, one, we aligned on a mission. I mean, in the end, all the partners that we are talking about, they all care about what customers want. And we talked earlier about having that, you know, what is that single pane of glass when it comes to security? Is there one? Probably not. But if you can reduce the chatter, and the noise amongst all these companies, that helps. The other thing is they also understood our mission was really around the security, around data. We talked earlier about how security used to be very parameter or centric, but what you're really trying to save and secure is your data, which is your Queen Bee. And so a couple of months ago at our customer advisory council, I talked about moving and shifting the focus of security to be very data centric. And what we do in this partnership and alliance is a true integration. So there's a lot of engineering work that goes in, is us providing insights around the data to the security partners who can then leverage that to help customers be protected early on. Conversely, they can provide insights into an attack that's emanating possibly, to let us know that there's something happening, so we can lock up the data. So it's a bidirectional, symbiotic relationship between these partners and they all believe in that common cause of making sure the customers get protected. As we talked about earlier, lots of cyber attacks happening even as we speak, if we can collectively do something good in terms of making customers secure and successful, let's do it. >> So what will result from this alliance other than a press release? >> Customers will be successful, hopefully, not just protect customers from ransomware attacks, but also respond and recover if something does happen. We also announce our security council led by Kevin Mandia, and then we have some other big security advisors in that council as well. And that's been very helpful. So it's not just about the product itself, but it's also the collective experience of all these folks who can help and advise and coach CSOs, and other organizations on, what are the best practices? What are the things you're not really considering? What is the vision for you from an architecture standpoint? How is security threats starting to get more, and more mature? And how can you account for that? How can you reduce cost, to your point, right? How can you reduce cost when it comes to managing all these security solutions? >> No, there's no industry where working, it's more important for vendors to work together than in this one. >> Absolutely. I mean, especially for security, I don't think there's a one size fits all solution. So we have to work together. Right? >> What's your state of the union? You were at HashiCorp before you came here, you've been in the industry for a while, you've seen a few cycles of innovation. We're in a really weird time right now, because AWS wasn't really as powerful in 2008, when the last recession was hard too. They weren't really that big then. Now, they're a big part of the economic equation. So agility means fast speed. Can they help us get out of the pandemic? Customer's going to tighten their belts? Is there going to be a pullback? Is there tech spending? All these questions are looming. What are your customers seeing? What do you think is going to happen given the history? 'Cause I don't see the building stopping. I think you'll see more cloud, more savings. So is there fine-tuning solutions? What are customers thinking like now? >> I mean, if you think back to the last recession, the last major one, 2009, that's really about the time when you saw customers thinking about that whole digital transformation, because they started understanding that the way to connect with customers is through a digital engagement. Right? Now, as we've gone through a 10, 15 year period where there has been a lot of digital transformation, there's been a lot of investment in the cloud. Cloud is no longer seen with suspicion. Now, it's about getting smart on how to use it, how to build the right applications. Are there the right set of applications that need to stay in the cloud? And there might be others that need to stay on-prem. Right? I've talked to customers and CIOs who've mentioned to me in the past, that they would go a hundred percent in the cloud, and six months later they come back and they're like, "Nope, you're not going a hundred percent in the cloud. Maybe it's 10% or 15%." >> So they're moving. So what's your plan? You're the GM, you're in charge, you've got to take that next hill. Is it a tailwind, headwind? You've got to navigate the waters here, so to speak, mixed metaphors, but for the most part, you got a business opportunity. >> Absolutely. >> What's the outlook look like? What's your vision? What's the plan? >> Yeah. When it comes to cloud, there are certain things that are a common denominator. Right? One is how do you enable not just applications that are completely on cloud, but also that's on-prem? So for us, that hybrid movement is extremely important. But to create a single seamless UI and experience from an end-customer perspective. So for me, maintaining that and more at team, the R and D team at Cohesity have done a phenomenal job around that. For me, it's to maintain that, and then build additional workloads that make sense from a customer standpoint. There's a lot of investment customers are making. We also have to make sure that they're utilized correctly, and their stored, backed up data, recovered in a way that makes sense for them. And then if things do go south in terms of attacks or other issues, how can we help them get back up to speed, and make sure their business does not suffer? Right? So all of those combined, I think from a cloud perspective, it's the agility, the scalability, and the speed and swiftness that we can work with. >> Well, it sounds like he's ready for the Instagram Real Challenge, our new format on theCUBE. We're going to do a little segment where you can deliver a YouTube Short, Instagram Reel, TikTok or CUBE Gem. More of a thought leadership soundbite for 30 seconds around your view of why is cloud important right now. What's going on at this event that people should pay attention to? What's Cohesity doing? If you can put together a reel, a sizzle reel, or a thought leadership statement. What would that be? >> It would be that cloud is important for any business to be successful. And that's a given right now. I mean, digital transformation is an overused term, but the reality is it's here to stay. And it is the reason why everybody has a mobile phone. Half the people walking on the floor right now is looking at their phone and walking around. And that's your engagement method. So if you don't transform yourself to be able to connect with your end-user, your customer, you will not be successful. And Cohesity can help you by making sure that all of that data that you have, everything that you need in order to be successful to drive that engagement with your customers secure is backed up. No matter what, we will get you back up and running, and you will be successful. And we are in the success journey with you. >> Amith Nair, Senior Vice President, General Manager, Cohesity, the Cloud. Thanks for coming on theCUBE. For Paul Gillen, my co-host. I'm John Furrier here, live on the floor, wrapping up day two, few more segments, stay with us. We got a lot of action coming. We'll be right back with more after the short break. theCUBE, the leader in tech coverage. (bright music)

(bright upbeat music) >> Welcome back everyone to theCUBE's live coverage here in Las Vegas for wall-to-wall coverage. It is re:Invent 2022, our 10th year with theCUBE. Dave and I started this journey 10 years ago here at re:Invent. There are two sets, here, a set upstairs. Great content, I'm here with Paul Gillin, my cohost. Paul's out reporting on the floor, doing some interviews. Paul, what do you think so far? It's pretty crazy activity going on here. >> Well, the activity hasn't declined at all. I mean here we are in day three of the show and it's just as busy out there as it was in day one. And there's just an energy here that you can feel, it's palpable. There is a lot of activity around developers, a lot around data. Which actually brings us a good segue into our next guest because one of the leaders in data management in the cloud is MariaDB. And John Bakke is the CRO at MariaDB, and here to talk to us about your cloud version and how open source is going for you. >> Yeah, thanks for having me. >> Paul: Thanks for joining us. >> To get the update on the product, what do you guys do on the relation to AWS? How's that going? Give us a quick update. >> In the relational database? >> No, no. The relationship with AWS >> Oh, with AWS? >> And SkySQL, what's the update? >> There's no relationship that we have that's more important than the AWS relationship. We're building our cloud, our premier cloud service called SkySQL on AWS. And they offer the best in class infrastructure for a SaaS company to build what they're building. And for us, it's a database service, right? And then beyond that, they help you from the business side, right? They try to get you lined up in the marketplace and make it possible for you to work best with customers. And then from a customer perspective, they're super helpful in not only finding prospective customers, but making that customer successful. 'Cause everybody's got a vested interest in the outcome. Right? >> Yeah, a little tongue twister there. Relational data-based relationship. We've got relational databases, we've got unstructured, data is at the center of the value proposition. Swami's keynote today and the Adam CEO's keynote, data and security dominated the keynotes >> John: Yes. >> and the conversations. So, this is real. The customers are really wanting to accelerate the developer experience, >> John: Yep. >> Developer pipe lining, more code faster, more horsepower under the hood. But this data conversation, it just never goes away. The world's keeping on coming around. >> John: It never goes away. I've been in this business for almost 30 years and we're still talking about the same key factors, right? Reliability, availability, performance, security. These things are pervasive in the data management because it's such a critical aspect to success. >> Yeah, in this case of SkySQL, you have both a transactional and an analytical engine in one. >> John: That's correct. >> Right? >> John: Yep. >> And that was a, what has the customer adoption been like of that hybrid, or I guess not a hybrid, but a dual function? >> Yeah. So the thing that makes that important is that instead of having siloed services, you have integrated data services. And a lot of times when you ask a question that's analytical it might depend on a transaction. And so, that makes the entire experience best for the developer, right? So, to take that further, we also, in SkySQL, offer a geospatial offering that integrates with all of that. And then we even take it further than that with distributed database with Xpand or ready to be Xpand. >> A lot of discussion. Geospatial announcement today on stage, just the diversity of data, and your experience in the industry. There's not the one database that rule them all anymore. There's a lot of databases out there. How are customers dealing with, I won't say database for all, 'Cause you need databases. And then you've got real time transactional, you got batch going on, you got streaming data, all kinds of data use cases now, all kind of having to be rolled together. What's your reaction? What's your take on the state of data and databases? >> Yeah, yeah, yeah. So when I started in this business, there were four databases, and now there's 400 databases. And the best databases really facilitate great application development. So having as many of those services in real time or in analytics as possible means that you are a database for everyone or for all users, right? And customers don't want to use multiple databases. Sometimes they feel like they're forced to do that, but if you're like MariaDB, then you offer all of those capabilities in an integrated way that makes the developer move faster. >> Amazon made a number of announcements this morning in the data management area, including geospatial support on RDS, I believe. How do you, I guess, coordinate yourself, your sales message with their sales message, given that you are partners, but they are competing with you in some ways? >> Yeah, there's always some cooperatition, I guess, that happens with AWS in the various product silos that they're offering their customers. For us, we're one of thousands of obviously partners that they have. And we're out there trying to do what our customers want, which is to have those services integrated, not glued together with a variety of different integration software. We want it integrated in the service so that it's one data provision, data capability for the application developer. It makes for a better experience for the developer in the end. >> On the customer side, what's the big activity? I mean, you got the on-premises database, you've got the cloud. When should a customer decide, or what's the signals to them that they should either move to the cloud, or change, be distributed? What are some of the forcing functions? What does the mark look like? >> Yeah, I've come a long way on this, but my opinion is that every customer should be in the cloud. And the reason simply is the economies that are involved, the pace of execution, the resilience and dependability of the cloud, Amazon being the leader in that space. So if you were to ask me, right now is the time to be in SkySQL because it's the premier data service in the cloud. So I would take my customer out of their on-prem and put them all in AWS, on SkySQL, if I could. Not everybody's ready for that, but my opinion is that the security is there, the reliability, the privacy, all of the things that maybe are legacy concerns, it's all been proven to be adequate and probably even better because of all of the economies of scale that you get out of being in the cloud just generally. >> Now, MariaDB, you started on-premise though. You still have a significant customer base on-premise. What, if anything are you doing to encourage them to migrate to the cloud? >> Well, so we have hundreds and hundreds of customers as MariaDB, and we weren't the first database company to put their database in the cloud, but watching it unfold helped us realize that we're going to put MariaDB in its best form factor in SkySQL. It's the only place you could get the enterprise version of MariaDB in a cloud service, right? So when we look at our customers on-prem, we're constantly telling them, obviously, that we have a cloud service. When they subscribe, we show them the efficiencies and the economies, and we do get customers that are moving. We had a customer go to Telefonica over in the UK that moved from an on-premise to manage their wifi services across Europe. And they're very happy. They were one of our very first SkySQL customers. And that has routinely proven itself to be a path towards not only a better operation for the customer, they're up more, they have fewer outages because they're not inflicting their own self wounds that they have in their own data center. They're running on world class infrastructure on world class databases. >> What are some of those self wounds? Is it personnel, kind of manual mistakes, just outages, reliability? What's the real cause, and then what's the benefit alternative in the cloud that is outside? >> Yeah. I mean, I think, when you repeat the same database implementation over and over on the infrastructure, it gets tested thousands and thousands of times. Whereas if I'm a database team and I install it once, I've tested it one time, and I can't account for all of the things that might happen in the future. So the benefit of the cloud is that you just get that repeat ability that happens and all of the sort of the kinks and bugs and issues are worked out of the system. And that's why it's just fundamentally better. We get 99.9999% uptime because all of those mistakes have been made, solved, and fixed. >> Fully managed, obviously. >> Yes. Right. >> Huge benefit. >> John: Right. >> And people are moving, it's just a great benefit. >> John: Yeah. >> So I'm a fan obviously. I think it's a great way to go. I got to ask about the security though, because big conversation here is security. What's the security posture? What's the security story to customers with SkySQL and MariaDB? >> Right, right, right. So we've taken the server, which was the initial product that MariaDB was founded upon, right? And we've come a long way over the several years that we've been in business. In SkySQL, we have SOC 2 compliance, for example. So we've gone through commercial certifications to make sure that customers can depend that we are following processes, we have technology in place in order to secure and protect their data. And in that environment, it is repeatable. So every time a customer uses our DBaaS infrastructure, databases a service infrastructure called SkySQL, they're benefiting from all of the testing that's been done. They go there and do that themselves, they would've to go through months and months of processes in order to reach the same level of protection. >> Now MariaDB is distributed by design. Is that right? >> Yes. So we have a distributed database, it's called Xpand, MariaDB Xpand. And it's an option inside of SkySQL. It's the same cost as MariaDB server, but Xpand is distributed. And the easiest way to understand what distributed database is is to understand what it is not first. What it is not is like every other cloud database. So most of the databases strangely in the cloud are not distributed databases. They have one single database node in a cluster that is where all of the changes and rights happen. And that creates a bottleneck in the database. And that's why there's difficulties in scale. AWS actually talked about this in the keynote which is the difficulty around multi writer in the cloud. And that's what Xpand does. And it spreads out the reads and the rights to make it scalable, more performant, and more resilient. One node goes down, still stays up, but you get the benefit of the consistency and the parallelization that happens in Xpand. >> So when would a customer choose Xpand versus SkySQL Vanilla? >> So we have, I would say a lot of times, but the profile of our customers are typically like financial services, trade stores. We have Samsung Cloud, 500,000 transactions per second in an expand cluster where they run sort of their Samsung cloud for their mobile device unit. We have many customers like that where it's a commercial facing website often or a service where the brand depends on uptime. Okay. So if you're in exchange or if you are a mobile device company or an IOT company, you need those databases to be working all the time and scale broadly and have high performance. >> So you have resiliency built in essentially? >> Yes, yeah. And that's the major benefit of it. It hasn't been solved by anybody other than us in the cloud to be quite honest with you. >> That's a differentiator for sure. >> It is a huge differentiator, and there are a lot of interested parties. We're going to see that be the next discussion probably next year when we come back is, what's the state of distributed database? Because it's really become really the tip of the spear with the database industry right now. >> And what's the benefits of that? Just quickly describe why that's important? >> Obviously the performance and the resilience are the two we just talked about, but also the efficiency. So if you have a multi-node cluster of a single master database, that gets replicated four times, five times over, five times the cost. And so we're taking cost out, adding performance in. And so, you're really seeing a revolution there because you're getting a lot more for a lot less. And whenever you do that, you win the game. Right? >> Awesome. Yeah, that's true. And it seems like, okay, that might be more costly but you're not replicating. >> That's right. >> That's the key. >> Replicating just enough to be resilient but not excessively to be overly redundant. Right. >> Yeah. I find that the conversation this year is starting to unpack some of these cloud native embedded capabilities inside AWS. So are you guys doing more around, on the customer side, around marketplace? Are you guys, how do people consume products? >> Yeah. It's really both. So sometimes they come to us from AWS. AWS might say, "Hey, you know what," "we don't really have an answer." And that's specifically true on the expand side. They don't really have that in their list of databases yet. Right. Hopefully, we'll get out in front of them. But they oftentimes come through our front door where they're a MariaDB customer already, right? There's over a hundred thousand production systems with MariaDB in the world, and hundreds of thousands of users of the database. So they know our brand, not quite as well as AWS, but they know our brand... >> You've got a customer base. >> We do. Right. I mean people love MariaDB. They just think it's the database that they use for application development all the time. And when they see us release an offering like Xpand just a few years ago, they're interested, they want to use that. They want to see how that works. And then when they take it into production and it works as advertised, of course, success happens. Right? >> Well great stuff, John. Great to have you on theCUBE. Paul, I guess time we do the Insta challenge here. New format on theCUBE, we usually say at the end, summarize what's most important story for you or show, what's the bumper sticker? We kind of put it around more of an Instagram reel. What's your sizzle reel? What's your thought leadership statement? 30 seconds >> John: Thought leadership. >> John? >> So the thought leadership is really in scaling the cloud to the next generation. We believe MariaDB's Xpand product will be the the technology that fronts the next wave of database solutions in the cloud. And AWS has become instrumental in helping us do that with their infrastructure and all the help that they give us, I think at the end of the day, when the story on Xpand is written, it's going to be a very fun ride over the next few years. >> John, thank you. CRO, chief revenue officer of MariaDB, great to have you on. >> Thank you. >> 34-year veteran or so in databases. (laughs) >> You're putting a lot of age on me. I'm 29. I'm 29 again. (all laugh) >> I just graduated high school and I've been doing this for 10 years. Great to have you on theCUBE. Thanks for coming on. >> Thanks guys. Yeah. >> Thanks for sharing. >> Appreciate it. >> I'm John Furrier with Paul Gillin here live on the floor, wall-to-wall coverage. We're already into like 70 videos already. Got a whole another day, finish out day three. Keep watching theCUBE, thanks for watching. We'll be right back. (calm music)