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

>> Live, from Washington, D.C., it's theCUBE! Covering Inforum DC 2018. Brought to you by Infor. >> Well, welcome back. We are here on theCUBE. Thanks for joining us here as we continue our coverage here at Inforum 18. We're in Washington D.C., at the Walter Washington Convention Center. I'm John Walls, with Dave Vellante and we're joined now by Rahul Pathak, who is the G.M. at Amazon Athena and Amazon EMR. >> Hey there. Rahul, nice to see you, sir. >> Nice to see you as well. Thanks for having me. >> Thank you for being with us, um, now you spoke earlier, at the executive forum, and, um, wanted to talk to you about the title of the presentation. It was Datalinks and Analytics: the Coming Wave of Brilliance. Alright, so tell me about the title, but more about the talk, too. >> Sure. Uh, so the talk was really about a set of components and a set of transdriving data lake adoption and then how we partner with Infor to allow Infor to provide a data lake that's customized for their vertical lines of business to their customers. And I think part of the notion is that we're coming from a world where customers had to decide what data they could keep, because their systems were expensive. Now, moving to a world of data lakes where storage and analytics is a much lower cost and so customers don't have to make decisions about what data to throw away. They can keep it all and then decide what's valuable later. So we believe we're in this transition, an inflection point where you'll see a lot more insights possible, with a lot of novel types of analytics, much more so than we could do, uh, to this point. >> That's the brilliance. That's the brilliance of it. >> Right. >> Right? Opportunity to leverage... >> To do more. >> Like, that you never could before. >> Exactly. >> I'm sorry, Dave. >> No, no. That's okay. So, if you think about the phases of so called 'big data,' you know, the.... We went from, sort of, EDW to cheaper... >> (laughs) Sure. >> Data warehouses that were distributed, right? And this guy always joked that the ROI of a dupe was reduction of investment, and that's what it became. And as a result, a lot of the so-called data lakes just became stagnant, and so then you had a whole slew of companies that emerged trying to get, sort of, clean up the swamp, so to speak. Um, you guys provide services and tools, so you're like "Okay guys, here it is. We're going to make it easier for you." One of the challenges that Hadoop and big data generally had was the complexity, and so, what we noticed was the cloud guys--not just AWS, but in particular AWS really started to bring in tooling that simplified the effort around big data. >> Right. >> So fast-forward to today, and now we're at the point of trying to get insights-- data's plentiful,insights aren't. Um, bring us up to speed on Amazon's big data strategy, the status, what customers are doing. Where are we at in those waves? >> Uh, it's a big question, but yeah, absolutely. So... >> It's a John Furrier question. (laughter) So what we're seeing is this transition from sort of classic EDW to S3 based data lakes. S3's our Amazon storage service, and it's really been foundational for customers. And what customers are doing is they're bringing their data to S3 and open data formats. EDWs still have a role to play. And then we offer services that make it easy to catalog and transform the data in S3, as well as the data in customer databases and data warehouses, and then make that available for systems to drive insight. And, when I talk about that, what I mean is, we have the classic reporting and visualization use cases, but increasingly we're seeing a lot more real time event processing, and so we have services like Kinesis Analytics that makes it easy to run real time queries on data as it's moving. And then we're seeing the integration of machine learning into the stacks. Once you've got data in S3, it's available to all of these different analytic services simultaneously, and so now you're able to run your reporting, your real time processing, but also now use machine learning to make predictive analytics and decisions. And then I would say a fourth piece of this is there's really been, with machine learning and deep learning and embedding them in developer services, there's now been a way to get at data that was historically opaque. So, if you had an audio recording of a social support call, you can now put it through a service that will actually transcribe it, tell you the sentiment in the call and that becomes data that you can then track and measure and report against. So, there's been this real explosion in capability and flexibility. And what we've tried to do at AWS is provide managed services to customers, so that they can assemble sophisticated applications out of building blocks that make each of these components easier, and, that focus on being best of breed in their particular use case. >> And you're responsible for EMR, correct? >> Uh, so I own a few of these, EMR, Athena and Glue. And, uh, really these are... EMR's Open Source, Spark and Hadoop, um, with customized clusters that upbraid directly against S3 data lakes, so no need to load in HDFS, so you avoid that staleness point that you mentioned. And then, Athena is a serverless sequel NS3, so you can let any analyst log in, just get a sequel prompt and run a query. And then Glue is for cataloging the data in your data lake and databases, and for running transformations to get data from raw form into an efficient form for querying, typically. >> So, EMR is really the first service, if I recall, right? The sort of first big data service-- >> That's right. >> -that you offered, right? And, as you say, you really begin to simplify for customers, because the dupe complexity was just unwieldy, and the momentum is still there with EMR? Are people looking for alternatives? Sounds like it's still a linchpin of the strategy? >> No, absolutely. I mean, I think what we've seen is, um, customers bring data to S3, they will then use a service, like Redshift, for petabyte scale data warehousing, they'll use EMR for really arbitrary analytics, using opensource technologies, and then they'll use Athena for broad data lake query and access. So these things are all very much complimentary, uh, to each other. >> How do you define, just the concept of data lakes, uh, versus other approaches to clients? And trying to explain to them, you know, the value and the use for them, uh, I guess ultimately how they can best leverage it for their purposes? How do you walk them through that? >> Yeah, absolutely. So, there's, um. You know, that starts from the principles around how data is changing. So before we used to have, typically, tabular data coming out of ERP systems, or CRM systems, going into data warehouses. Now we're seeing a lot more variety of data. So, you might have tweets, you might have JSON events, you might have log events, real time data. And these don't fit traditional... well into the traditional relational tabular model, ah, so what data lakes allow you to do is, you can actually keep both types of the data. You can keep your tabular data indirectly in your data lake and you can bring in these new types of data, the semi-structured or the unstructured data sets. And they can all live in the data lake. And the key is to catalog that all so you know what you have and then figure out how to get that catalog visible to the analytic layer. And so the value becomes you can actually now keep all your data. You don't have to make decisions about it a priori about what's going to be valuable or what format it's going to be useful in. And you don't have to throw away data, because it's expensive to store it in traditional systems. And this gives you the ability then to replay the past when you develop better ideas in the future about how to leverage that data. Ah, so there's a benefit to being able to store everything. And then I would say the third big benefit is around um, by placing data and data lakes in open data formats, whether that's CSV or JSON or a more efficient formats, that allows customers to take advantage of best of breed analytics technology at any point in time without having to replatform their data. So you get this technical agility that's really powerful for customers, because capabilities evolve over time, constantly, and so, being in a position to take advantage of them easily is a real competitive advantage for customers. >> I want to get to Infor, but this is so much fun, I have some other questions, because Amazon's such a force in this space. Um, when you think about things like Redshift, S3, Pedisys, DynamoDB...we're a customer, these are all tools we're using. Aurora. Um, the data pipeline starts to get very complex, and the great thing about AWS is I get, you know, API access to each of those and Primitive access. The drawback is, it starts to get complicated, my data pipeline gets elongated and I'm not sure whether I should run it on this service or that service until I get my bill at the end of the month. So, are there things you're doing to help... First of all, is that a valid concern of customers and what are you doing to help customers in that regard? >> Yeah, so, we do provide a lot of capability and I think our core idea is to provide the best tool for the job, with APIs to access them and combine them and compose them. So, what we're trying to do to help simplify this is A) build in more proscriptive guidance into our services about look, if you're trying to do x, here's the right way to do x, at least the right way to start with x and then we can evolve and adapt. Uh, we're also working hard with things like blogs and solution templates and cloud formation templates to automatically stand up environments, and then, the third piece is we're trying to bring in automation and machine learning to simplify the creation of these data pipelines. So, Glue for example. When you put data in S3, it will actually crawl it on your behalf and infer its structure and store that structure in a catalog and then once you've got a source table, and a destination table, you can point those out and Glue will then automatically generate a pipeline for you to go from A to B, that you can then edit or store in version control. So we're trying to make these capabilities easier to access and provide more guidance, so that you can actually get up and running more quickly, without giving up the power that comes from having the granular access. >> That's a great answer. Because the granularity's critical, because it allows you, as the market changes, it allows you... >> To adapt. To move fast, right? And so you don't want to give that up, but at the same time, you're bringing in complexity and you just, I think, answered it well, in terms of how you're trying to simplify that. The strategy's obviously worked very well. Okay, let's talk about Infor now. Here's a big ISP partner. They've got the engineering resources to deal with all this stuff, and they really seem to have taken advantage of it. We were talking earlier, that, I don't know if you heard Charles's keynote this morning, but he said, when we were an on prem software company, we didn't manage customer servers for them. Back then, the server was the server, uh software companies didn't care about the server infrastructure. Today it's different. It's like the cloud is giving Infor strategic advantage. The flywheel effect that you guys talk about spins off innovation that they can exploit in new ways. So talk about your relationship with Infor, and kind of the history of where it's come and where it's going. >> Sure. So, Infor's a great partner. We've been a partner for over four years, they're one of our first all-in partners, and we have a great working relationship with them. They're sophisticated. They understand our services well. And we collaborate on identifying ways that we can make our services better for their use cases. And what they've been able to do is take all of the years of industry and domain expertise that they've gained over time in their vertical segments, and with their customers, and bring that to bear by using the components that we provide in the cloud. So all these services that I mentioned, the global footprint, the security capabilities, the, um, all of the various compliance certifications that we offer act as accelerators for what Infor's trying to do, and then they're able to leverage their intellectual property and their relationships and experience they've built up over time to get this global footprint that they can deploy for their customers, that gets better over time as we add new capabilities, they can build that into the Infor platform, and then that rolls out to all of their customers much more quickly than it could before. >> And they seem to be really driving hard, I have not heard an enterprise software company talk so much about data, and how they're exploiting data, the way that I've heard Infor talk about it. So, data's obviously key, it's the lifeblood-- people say it's the new oil--I'm not sure that's the best analogy. I can only put oil in my house or my car, I can't put it in both. Data--I can do so many things with it, so, um... >> I suspect that analogy will evolve. >> I think it should. >> I'm already thinking about it now. >> You heard it here first in the Cube. >> You keep going, I'll come up with something >> Don't use that anymore. >> Scratch the oil. >> Okay, so, your perspectives on Infor, it's sort of use of data and what Amazon's role is in terms of facilitating that. >> So what we're providing is a platform, a set of services with powerful building blocks, that Infor can then combine into their applications that match the needs of their customers. And so what we're looking to do is give them a broad set of capabilities, that they can build into their offerings. So, CloudSuite is built entirely on us, and then Infor OS is a shared set of services and part of that is their data lake, which uses a number of our analytic services underneath. And so, what Infor's able to do for their customers is break down data silos within their customer organizations and provide a common way to think about data and machine learning and IoT applications across data in the data lake. And we view our role as really a supporting partner for them in providing a set of capabilities that they can then use to scale and grow and deploy their applications. >> I want to ask you about--I mean, security-- I've always been comfortable with cloud security, maybe I'm naive--but compliance is something that's interesting and something you said before... I think you said cataloging Glue allows you to essentially keep all the data, right? And my concern about that is, from a governance perspective, the legal counsel might say, "Well, I don't "want to keep all my data, if it's work in process, "I want to get rid of it "or if there's a smoking gun in there, "I want to get rid of it as soon as I can." Keep data as long as possible but no longer, to sort of paraphrase Einstein. So, what do you say to that? Do you have customers in the legal office that say, "Hey, we don't want to keep data forever, "and how can you help?" >> Yeah, so, just to refine the point on Glue. What Glue does is it gives you essentially a catalog, which is a map of all your data. Whether you choose to keep that data or not keep that data, that's a function of the application. So, absolutely >> Sure. Right. We have customers that say, "Look, here are my data sets for "whether it's new regulations, or I just don't want this "set of data to exist anymore, or this customer's no longer with us and we need to delete that," we provide all of those capabilities. So, our goal is to really give customers the set of features, functionality, and compliance certifications they need to express the enterprise security policies that they have, and ensure that they're complying with them. And, so, then if you have data sets that need to be deleted, we provide capabilities to do that. And then the other side of that is you want the audit capabilities, so we actually log every API access in the environment in a service called CloudTrail and then you can actually verify by going back and looking at CloudTrail that only the things that you wanted to have happen, actually did happen. >> So, you seem very relaxed. I have to ask you what life is like at Amazon, because when I was down at AWS's D.C. offices, and you walk in there, and there's this huge-- I don't know if you've seen it-- there's this giant graph of the services launched and announced, from 2006, when EC2 first came out, til today. And it's just this ridiculous set of services. I mean the line, the graph is amazing. So you're moving at this super, hyper pace. What's life like at AWS? >> You know, I've been there almost seven years. I love it. It's been fantastic. I was an entrepreneur and came out of startups before AWS, and when I joined, I found an environment where you can continue to be entrepreneurial and active on behalf of you customers, but you have the ability to have impact at a global scale. So it's been super fun. The pace is fast, but exhilarating. We're working on things we're excited about, and we're working on things that we believe matter, and make a difference to our customers. So, it's been really fun. >> Well, so you got--I mean, you're right at the heart of what I like to call the innovation sandwich. You've got data, tons of data, obviously, in the cloud. You're a leader and increasingly becoming sophisticated in machine intelligence. So you've got data, machine intelligence, or AI, applied to that data, and you've got cloud for scale, cloud for economics, cloud for innovation, you're able to attract startups--that's probably how you found AWS to begin with, right? >> That's right. >> All the startups, including ours, we want to be on AWS. That's where the developers want to be. And so, again, it's an overused word, but that flywheel of innovation occurs. And that to us is the innovation sandwich, it's not Moore's Law anymore, right? For decades this industry marched to the cadence of Moore's Law. Now it's a much more multi-dimensional matrix and it's exciting and sometimes scary. >> Yeah. No, I think you touched on a lot of great points. It's really fun. I mean, I think, for us, the core is, we want to put things together the customers want. We want to make them broadly available. We want to partner with our customers to understand what's working and what's not. We want to pass on efficiencies when we can and then that helps us speed up the cycle of learning. >> Well, Rahul, I actually was going to say, I think he's so relaxed because he's on theCUBE. >> Ah, could be. >> Right, that's it. We just like to do that with people. >> No, you're fantastic. >> Thanks for being with us. >> It's a pleasure. >> We appreciate the insights, and we certainly wish you well with the rest of the show here. >> Excellent. Thank you very much, it was great to be here. >> Thank you, sir. >> You're welcome. >> You're watching theCUBE. We are live here in Washington, D.C. at Inforum 18. (techno music)