>> Narrator: Live from San Francisco, it's The Cube! Covering AWS Summit 2017, brought to you by Amazon Web Services. (upbeat music) >> Hi, welcome back to The Cube. We are live in San Francisco at the AWS Summit at Moscone Center. Really excited to be here. A tremendous amount of buzz going on. I'm Lisa Martin with my cohost George Gilbert and we're very excited to have Lowell Anderson, product marketing guru at AWS. Welcome back, Cube alumni! >> Lowell: It's great to be here, Lisa, thank you. >> Great to have you here as well. The keynote this morning was so energetic with Werner and Nextdoor is going to be on the program in a little bit. Over a thousand product launches last year. Not only are there superpowers now that AWS, I like that. You don't have a T-shirt, but maybe next time. But I think the word that I heard most today so far is customer. And I think that it's such a, and as AWS really talks about, it's a really differentiated way of thinking, of doing business. I'd love to understand what the products that were announced today. Walk us through some of the key highlights there. Customer logos were everywhere. So talk to us about how customers are influencing the development of the new services and products coming from AWS. >> Yeah, well, you know, for us, customers are always core to what drives our innovation. It's how we start, we start with what our customers want, and we work backwards from that to try to deliver a lot of the new features and services that we talked about today. And Werner covered a huge breadth of things, but they really fall into maybe four or five categories. He started talking about, directly for developers, talking about what we're doing with a product called CodeStar, which is designed to really help developers build and deploy software applications in the Cloud. He also then went and talked about our new marketplace, SaaS Contracts' capability, which makes it super easy for customers to sign up and purchase SaaS applications using multi-year contracts on AWS, but it also makes it easier for ISVs to make their offerings available for our customers. So again, really trying to make that easy for customers. We talked a lot about what we're doing in artificial intelligence, with the general availability of Amazon Lex today, and then a really entertaining video with Polly, where we saw that avatar speaking and the new whispering capability, so adding a lot more value to our suite of artificial intelligence services. Some exciting stuff in analytics, where we talked about Redshift Spectrum, which is the new search capability on Amazon Redshift that allows customers to search not just the data in their Redshift database, but also search all the unstructured data they have in S3. And then some really exciting announcements here on the database space with DynamoDB DAX, which is an accelerator for DynamoDB. And we also talked about the availability of a new version of Aurora for Postgres. So a lot of new capabilities, both in databases, big data, analytics, machine learning and artificial intelligence, and our offerings for SaaS Contracts as well. >> And that was all before lunch. (laughs) >> Lowell: Yeah, a lot of stuff. >> Lowell, following up on, in order of, let's say the comments on AI and the announcements made there. Microsoft, Google, Amazon all have gone beyond frameworks and tools to fully trained services that a normal developer can get their hands around. But in the areas of conversational user interface, natural language understanding, image recognition. Why do you think that those three vendors, the three vendors have been able to make such progress in those areas, to make that capability accessible, and there's so many other areas where we're still down in the weeds? >> I think there's, we sort of see it in, sort of focusing in maybe three different areas that are really targeted at what our customers are asking for. We have some very sophisticated customers who really want to build their own deep learning and machine learning applications, and they want services like MXNet, which is a highly scalable deep learning framework, that they can do and build these deep learning models. So there's a very sophisticated, targeted customer who wants that. But we also have customers that want to build and train and create prediction algorithms, and they use Amazon Machine Learning, which is a managed service which allows them to look at their past transactional data and build prediction models from it. And then the third piece is kind of what you mentioned, which is services that are really designed for the average developer, so they can really easily add capabilities like chatbots and speech and visual recognition to their applications with a simple API interface. And I think what you touched on is, why did we focus here, Well I think, as Andy also talked about today, that it's really early days in this space. And we're going to see a really, really strong amount of innovation here. And Amazon, which has been doing this for many, many years, and thousands of developers focused on this in our retail side, we're really working hard to bring that technology out, so that our customers can use it. And Lex, which is based on Alexa, which we're all familiar with from using the Echo. Bringing that out and making that type of capability available for average developers to use is a piece of that. So I think you're just going to continue to see that and over the course of the next year you're going to see continued new services coming from us on machine learning and artificial intelligence, across all those three spectrums. >> So let me jump to another subject which is really a hot button for our customers, both on the vendor side and the enterprise side, which is the hybrid cloud, I don't know whether we should call it migration or journey or endpoint. But let's take a couple scenarios. Let's say you're a Hadoop customer, and you've got Cloudera on-prem, you're a big bank, you've put an instance of it on Amazon and on Azure so that you can move your data around and you're relatively free. >> Lowell: Sure. >> Now the big use case has been data warehouse offload. So all of a sudden you have two really great data warehouses that are best in class on Amazon. With Redshift, with now the significant expansion of it, and Snowflake, and then you have Teradata, which now can take their on-prem capabilities and put them on the Cloud. How does the customer weigh the cost/benefit of lowest common denominator versus-- >> Yeah, yeah, sure. I think for us and for our customers it's not a one-size-fits-all. Every customer approaches this differently, and so what our focus has been on is to give them the range of choice. So if you want to use Cloudera, you can deploy it on EC2 and you can manage that yourself, and that's going to work great for you. But if you want a more managed service where maybe you don't want to have to manage the scalability of that Cloudera deployment, maybe you want to use EMR and deploy your Hadoop applications on EMR which manages that scalability for you. And so you make those tradeoffs and each of our customers makes those tradeoffs for different reasons and in different ways and at different times. And so our focus has always been to really try to give them that flexibility, to give them services where they can make the choice themselves about which direction they want to go for their individual applications, and maybe mix it up and try different ways of running these types of applications. And so we have a full range of those types of, from the ability to deploy those directly onto EC2 and manage it themselves, all the way to fully managed services that we maintain all the scalability and management and monitoring ourselves. >> One of the interesting things that Andy Jassy said in his fireside chat just in the last hour or so about HyperCloud was that most enterprises are going to operate in HyperCloud for the next several years, and there are those customers that are going to have to, or want to have their own data centers for whatever type of application. But something also that he brought up in that context, and I know you know a lot about this, George, is VMware. So when I was looking at the announcement that was made in the last six months or so about VMware, vSphere-based cloud services, VMware has just sold off their vCloud Air, kind of competing product, wondering with the VMware Cloud on Amazon, how does that... what are really the primary drivers there? Is that sort of a way to take those VMware customers eventually towards hybrid cloud, or is that an opportunity to maybe compete with some of the other guys who might have more traction in the legacy application migration space? >> I think for us, it's again, it comes back to our customers saying, some of our workloads that maybe for a long period of time have been deployed on VMware and we've been using VMware ESX for many, many years on-premise, and we have these applications that have been deployed for many years there, and they're highly integrated, they use specific features of VMware, and maybe we also like using VMware's management tools, we like using vCloud to manage all of these different instances of our VMware virtualization platform, but we just want to run it in the Cloud, because we want that scalability. When you deploy that stuff on-premise, you're still kind of locked in. Every time you want to expand, you've got to go out and you've got to buy more hardware. You really don't have the agility to expand that business, both as it grows, or as it declines. So you're paying for that hardware to power it and run it no matter what. And so they're telling us we'd like to get some of this up into the Cloud, but we don't want necessarily to have to, we've built these apps, we're comfortable with how they're running them, but we want to run them up in the Cloud and we want to do it with low risk. And that's what this VMware relationship is about, is letting those enterprises that have spent years building and maintaining and using VMware and their various management tools, to do that up in the Cloud. That's really what it's about. >> So let's switch gears to another topic that Andy talked about, since all his topics were topical. Edge computing and IIoT. That's another big shift that's coming along and changing the architecture so we have more computing at the edge again, and huge amounts of data. Obviously there's many scenarios, but how do you think customers will basically think through this, or how should they think through how much analytics and capability is at the edge, that issue of should it look like what is in the Cloud? Or should it be really tight and light and embedded? >> I think we're seeing just an increasing range. And also a really interesting mix, where you have some very intelligent devices, your laptop and so on, that is connected to the Cloud and it has a pretty significant amount of processing power, and so there can be applications that run on that machine that are very sophisticated. But if we're going to start to expand that universe of edge devices out to simple sensors for pipelines, and simple ways to monitor the thermostat in your home, and simple ways to measure and monitor and track all sorts of, you know, automobiles and so on, that there's going to be a range of different on-premise or edge types of compute, that we need to support in the Cloud. And so I think what Andy's saying is that we want to build the Cloud to be the system that can act as the, has the analytics power to ingest data from these maybe tens of millions of different devices, which will have a range of different compute power, and support those applications on a case by case basis. >> We've got to wrap things up here, and I know this conversation could continue for many hours. I think what we've heard here today is a tremendous amount of innovation, and I made the joke, all announced before lunch, but really it was. We're seeing the flexibility, we're seeing the customers really drive the innovation. Also the fact that AWS starting in the startup space with the developers, that's still a very key target market for you, even as things go up to the enterprise. So continued best luck with everything going forward. We're excited to be at re:Invent in just, what, five or six months from now, and with many, many more thousands of people and hearing the great things that continue to come from the leader in public cloud. >> Lowell: All right. Thank you, Lisa. >> Thanks for joining us, Lowell, we appreciate it. Next time I want the superpower T-shirt. (laughs) >> (laughs) Okay, I'll take you up on that. >> All right. I'm Lisa Martin for my cohost George Gilbert. Thanks so much for watching, stick around. We are live at the AWS Summit in San Francisco, and we will be right back. (upbeat music)

live from san jose in the heart of Silicon Valley it's the cube covering AWS summit 2016 hey welcome back everyone we are live in Silicon Valley for AWS Amazon Web Services summit in Silicon Valley this is the cube silicon angles flagship program we go out to the events and extract the signal from the noise i'm john for with my co-host Lisa Martin our next guest is Lowell anderson senior manager product marketing of AWS Amazon Web Services welcome to the cube thanks for having me it's great to be here first time cube alumni welcome to the cube alumni list love to get you on because you know you're in the product team and you're in go to market as well as you gotta look into the product suites and one of the things that's been super impressive of AWS over the years since I've been following you guys for a decade since you started in the cube of the past four years is the tsunami of product releases the cadence of jesse's law I call it yeah and Amazon's law which is just constant slew of releases more and more every time not just reinvented yeah you get the summit's which are exploding right there were tiny right years ago right got new york and here what's what's coming out now what's the secret sauce how do you guys do it and give us some insight into what's what's happening here well you know for us innovations in our blood it's a part of our DNA it's what we do we're really except to over 460 new services and features and we'll hit over a thousand this year of new services and features launched compared to last year when we hit like 720 I think something about in that range so the innovation train train keeps going and you know the way we do it is we number one we really focus on our customers one of the benefits of the cloud is that we can innovate and roll out changes really rapidly for them so just that the whole cloud environment allows us to innovate very quickly and very rapidly so that that's exciting and you see that in just a number of releases that we think that I just asked the previous guest on how do you explain the Phenom that is AWS and you know Andy Jassy went to business school the same year us I did and back then the competitive strategy ethos was built some proprietary technology build a fence protected with guards and guys with guns and old you fold the line yeah with open source though the new model is you can't do that anymore so there's one the open source is now a Tier one citizen right and two there's no real walls to build around proprietary technology so the name of the game is speed yeah it's all about speed and the cloud really enables that agility that's one of the biggest benefits that our customers talk about is how freeing up breaking down the walls of your data center effectively so that now your compute and your analytics and your storage expand beyond the walls of that building as rapidly as possible and and the use of open source as you measured I mean we're we're big proponents of open source we have a lot of open source services that that we support as well and and trying to help the developer community really bring those types of technologies to the cloud and enable that's a big part of our success as well it's clear that the competitive strategy game in this new world that Andy and the team are executing is really just more features faster than the competition there is kind of an arms race going on but that is the open source game so with that what is the are the big announcements here obviously this show is much more developer focused yeah yes more getting get getting the weeds breakout sessions one of the key goods that are being talked about here down here in Silicon Valley we really wanted to bring some more technical topics to the table and talk in that vein talk about a couple really key areas around focused around big data and what we're doing to help enable both small and large enterprises use data across their companies in in a more and to develop more competitive applications and make it cheaper make it easier to use and make it more performant than they could possibly imagine without the cloud so using big data is one of the key themes of the conference that we had today and then the other thing that we wanted to talk about was this movement from how we've been architecting services our applications in the past from being based on server to using server list which is really a whole new architectural concept that's allowing our customers to build applications in ways that they could never do before and do it at a cost that they could never make feasible in the past there's some great examples of customer successes that dr. Matt would talked about in the keynote one redfin I think we've all in orcutt have experiences with buying and selling homes but i loved how we talked about friends don't let friends build data centers that in the future it's most organizations are going to run their own data centers are not going to run their own Dana centers and move to AWS benefits like becoming data-driven big data the more users more data more insight you also talked about some of the things coming up you mentioned it to about building with services versus building with servers talk to us about some of the if you could spend a little bit on some of those examples one that particularly spoke to me was what alumina is doing and germs of genome sequencing I got my masters in biological sciences a long time ago and that wasn't even a thought back then or certainly was a massively expensive Todd was a little bit more about how alumina is doing that with AWS and scaling at cost to really facilitate breakthroughs they're saving lives right right well you know that's an exciting example because people that weren't able to see the keynote alumina is the largest genomic secant sequencing company in the world and they've really been able to implement a new architecture that's brought genomic sequencing from an industry that was done you know just for very specific scientific purposes to now something that can be done all over the world to support disease research yeah and and its really the power of big data that's made that happen and the reason they selected AWS for that is really just the breadth and depth of the big data services that we provide along with the global deployments that we support with genomic data they mentioned that for many many many many countries in the world they don't want that genomic data to move outside the boundaries of their specific geographic region and so sensitivity eight AWS is one of the few very few cloud providers that has that level of geographic specificity so you can keep the data within that specific compliance issues as well with that too lots of compliance issues of course genomic sequencing lots of federal and health care and HIPAA type requirements surrounding all of that type of information that AWS with our focus on security you know is able to achieve so so number one you know it's this Geographic capability which is a lot of luminarias lee deploy this in a global way but second it's really just a depth of services that we offer whether it's the data warehousing using redshift whether it's the ability to process that data at scale on Hadoop using EMR whether it's the ability to then deliver that data across the world and visualize it and upload it from all those different genomic machines that they've that they put into their individual customers research facilities all of that is capability that AWS is able to deliver to them at a cost I think one of the things he talked about they were looking for I think a hundred percent reduction or a hundred times reduction in cost over trying to do this themselves and and we've achieved that help working together with them you know they've been able to achieve that well I got to get your thoughts on the hybrid cloud because you know I'll see Amazon gets was traditionally pigeon-holed as just public cloud the lines are blurring clearly the success you guys are having it's been moving into the enterprise obviously the CIA delia beat IBM on that was a again different instance in the gov cloud but again in the enterprise deals you're seeing yeah it's up against the Oracles and the IBM's yeah what and they're all talking hybrid yeah yeah how are you guys are dressing it from a product standpoint how do you talk to a customer says hey amazon slow down i love you guys but yeah we need a hybrid on-premise solution yeah that's great great great question i think you know first of all I would say that what we've always said at AWS is really in the fullness of time we expect that you know no Enterprise is really going to want to run their own data center and so we still see that as the end vision that that's that we're gonna achieve in the long run and that most of our customers want to achieve in the long run as well but a critical conversations that they have what are their requirements and you got here is it migration of data yeah that's it so that said you know there's there's a lot of work to do between now and this in this long-term vision and so you know a few of those things that need to be addressed like data migration and we're working really hard to help enterprises move data up into the cloud it seems like it'd be a simple thing right you you take a picture you upload it to dropbox what why is that so hard but when you're talking about terabytes of data that have been in the corporate data centers with applications for years and years and years moving that volume of data up to the cloud is a significant about moving back to the enterprise and then vice versa again making it available for them to use and to and to move back and forth is a critical component so we've done a lot of work on a specific set of features and capabilities to make that happen amazon direct connect or AWS direct connect is one of those services that allows our enterprise customers to establish a high bandwidth connection to AWS regions so that they can move data back and forth the interconnect or to direct connect not going through the internet yes direct connect allows them to leverage private backhaul to establish a really high bandwidth connection and so we'd curity wise alone that's a big deal absolutely it is and then earlier or last year we announced amazon s3 transfer acceleration which is a service that allows them to utilize our backhaul to actually accelerate the upload of data into s3 before you has to use the internet to upload data to s3 and now what we've done is really extended that down to customers where if we can accelerate the transfer of their data to s3 will do that using our backhaul network for them so the next question on top that compounds the problem with data which you guys are solving and because this is I agree is a big challenge for enterprise customers IOT just complicates the hell out of it so yeah that's all about moving data around putting computer where the edges yeah this whole edge of the network definition really plays into some of the train around serverless concepts that you were mentioning earlier how does that relate to the data equation yeah so a couple of things let's touch on IOT for so I OT brings a whole new level of complexity in terms of the number of devices and the distribution of data that you need to bring up into the cloud and so we released this service we call AWS IOT last year at reinvent and what that does is it makes it really easy for customers to acquire data from billions of devices that might be generating trillions of messages at a time and when you think about IOT devices it becomes almost more complex because these devices may or may not be online all the time they may not have a high bandwidth connection they may not have the processing capability on the device itself to be able to update and optimize and do a lot of complex computing so you need a specialized service that can work with those devices when there's intermittent connections pull very small messages from those devices and ingest them on a huge huge scale and so aw SI io t is a service that does that allows our customers to ingest those billions of messages and then connect them to AWS endpoints big data services like red shift and s3 and Kinesis and lambda to process that data and generate applications that could never really be conceived before and today i thought i thought that the the whole discussion from iRobot was super interesting about how they're using AWS IOT to connect their what they call their home robots it's as you know their Roomba vacuum devices to the cloud and and really enable a whole new set of applications and vision for the connected home really interesting stuff enabled by the clouds well before at least answer question I just want to quote been Keogh who was with iRobot his analyst over there Sarah scientist transition I won't get your reaction to maybe Lisa you can chime in he just tweeted transition to the cloud colon treat servers like cattle not pets transition to server less cloud architecture yeah Crete servers like roaches wow that's a pretty bold statement yeah yeah it is but note note not a pet yeah I don't cuddle like a roach Amy's not not cattle it's roaches put the roaches out so taught some mean serverless sure caring servers to roaches let's talk about that that's that yeah let's talk about the evolution a little bit i mean if you went back you know a few years back to when i was writing software as a graduate from from college when you wanted to start off a project first thing you had to do was go buy a server have it delivered find a place to put it plug it in cola network guys get aboard cole router your security what you had it all plugged in you had to put the operating system on it and then you could put your development system on it and then you could finally get started to be months later before you could actually get the project started and it seems strange to even talk about it now but back then this was a a key thing that that limited our ability to start projects forget the cost yeah it's the time and then when you when you finally got it done and you release the application and you wanted to scale it you had to buy more servers and put them in the racks and figure out where to put them and so this just slowed everything down and so when we move to the cloud and we got the ability to lease or really rent servers in the cloud it took away a lot of the hardware aspects of that but still when you had to scale you still needed to provision more servers and you still needed to maintain and patch those operating systems in that software stack and so now what's happening with serverless and with services like lambda is all that goes away now it doesn't mean there aren't servers under the hood of course lambda has lots of servers under the hood that are cranking away and implementing your code at lightning speed but the difference is is you don't have to manage them anymore you don't have to think about them you don't have to worry about them and so with lambda all you do is is load your code up into the cloud it's executed instantaneously when you need it to be executed it scales on demand so as your application scale we can scale the number of lamb functions in parallel to execute your code depending on the load that you're putting on it and you only pay when that code is actually running so you're no longer paying every month for those servers that are sitting in that room whether you're using them or not so we've talked a lot about the services a tremendous amount of services that that AWS is offering compared with the three that you started with ten years ago we've talked about hybrid cloud the opportunities there enterprise in fact you're CTO just last week in London was talking about the challenges with enterprise are really kind of the shift that they want to help customers grow through a lot of capabilities a lot of speeds and feeds what's the the message brother who's the target audience as we wrap up here who are you selling these services to within organizations as we see the empowerment moving from IT to the c-suite two lines of business who are you going after to share with them and get them to come on board as customers whether it's Enterprise yeah yeah I think that's a really good question and it speaks a little bit to our evolution of as a company as well wear when AWS started over 10 years ago really focused on our developer messaging but what we've seen is the just the impact of the cloud is so significant that across the entire suite of different whether that's executives whether that's IT managers whether that's developers there's a significant value proposition that that really at every level across the organization high level of interest and so we're starting to see I think you saw today just across all sizes of companies across all industries and in even within government and an education and public sector a strong interest in motion there's really no industry or government type of agency that's not you know right now looking at not just are they going to move to the cloud but how quickly can we get to the cloud and so that's that's really expanded the scope gray synopsis that actually what dr. Matt would talked about with how infiltrated amazon is into of all the industries big in public sector big and startups born in the cloud now getting to be big and enterprise yeah so low we got one minute left I want to get your thoughts on as an insider at Amazon I'll see you out in the field here you talk to customers in the product marketing you have to look at that 20 mile stare in the marketplace but also talk to the folks internally engineering product management or talk about the coolest things that are going on right now in AWS that people should know about is the machine learning is it lamb does it rip yeah Reds what's the fastest growing what's the coolest tech yeah what is what are the jewels on the table right now that we should look at it and then explore and discover more about you touch on so many cool things I mean the fastest growing service now today is Aurora Aurora is our own my sequel database engine that runs on RDS and it's responsive that's been tremendous it it really offers enterprise-class database capability at a tenth the cost of on-premises solution so that's been that's really our fastest-growing service now it's really exciting in terms of this other stuff that we're just seeing tremendous excitement about you mentioned machine learning predictive analytics a lot of the work that we've been doing at amazon it's been part of our history at amazon for a long time mike says that was thing all everyone wants that right right right so machine learning of course is is something that you know we're gonna continue to see significant cars coming soon I don't know about flying cars it's certainly not on our roadmap that I'm aware of but you know who knows what Steve or what Jeff is working on right now so but we don't have flying cars on our super exciting I'm yeah I'm sure this is but it's again it's a software driven world mark injury since new thesis is not software eating the world but software powering the world and I think that's a whole nother concept its patents you know it's a global economy so a lot of great stuff always a great surprise to see the coolness yeah they did to us the new stuff thanks so much for sharing thank you in the cube this is the cube bringing you all the goodness of AWS here at if your summit in Silicon Valley I'm John Ford Lisa Martin you're watching the q