>>Winston Edmundson here at Hadoop summit. We've got Steve woolens from Teradata. He's going to talk to me a little bit about a exciting new announcement that you had with Hortonworks today. Tell me a little bit about that. >>Yeah. So Teradata has been in the data management analytics space for over 30 years. And with the announcement today, we announced data portfolio for Hadoop, which is a collection of products, services, and customer support for an entire portfolio for the products. So we've got turnkey appliances, we've got commodity offerings and with Hortonworks, we've got a shared customer support model, so we can give our customers everything they need around >>Ultimate support. Pretty exciting. Now this seems like it must've been a long process to put all this together. >>Well, we've had a partnership with Hortonworks for about a year. We've had Hadoop product offerings in the market for about six months. We've seen a lot of uptake from our customers, and it's really about broadening that to make sure that customers can buy a dupe standalone integrated in with the rest of their data architecture and make it a trusted component within that next generation data architecture. >>Tell me what excites you right now with the customers that you're helping, you're meeting their needs. Where do you see things going? What trends are you following right now? >>The big thing we're seeing is customers. Our customers want to better serve their customers. And there's so many new interaction points that they have with those customers through social networks, email, and being able to take things like the call center voice records, but that's been data that hasn't really been explored in the past to figure out how to better serve those customers. So now with Hadoop and other MapReduce technologies, we can incorporate that analysis into how we better serve our customers, customers at the end of the day. If that makes sense, that's ultimately, it's about getting deeper insights into how to better service the customers. And I think with all the new data that's out there and the hype around big data, that's really what it's about. >>Do you find the customers are coming to you with their own ideas or are they looking to you for suggestions on just how they can bring these different data sets together and how they can maximize and leverage some of this data? >>Well, the problem is there's so much hysteria in this market. I mean, it's an exciting place to be, but there's a lot of technologies, right? So I think the thing with Teradata is we do provide that trusted advisor status. I mean, we've been implementing data analytics solutions for a long, long time and a lot of the problems aren't new, they're just incorporating new analytics techniques. So they have ideas in terms of things they've heard about. They're not really sure how to implement it sometimes. So part of our offering is we have services, so we can look across their entire data architecture and figure out where does the dupe really fit? What are the best use cases for it? How do we integrate that across the enterprise? So the end users and the applications that can benefit from that data can really get the value from it. >>How important do you think it is or how much is an advantage that you are tried and true. You've been here. I mean, some of these solution providers, you can call them fly by night. I mean, they just, they're just here on, you know, they've just formed. They don't have a track record. It's your track record of success? One of the main things that customers are attracted to? >>I think so. I mean, the reality is we have, we're like in the trenches with our customers, it's not just the technology, but when we have business consulting, people that come in with domain expertise from a given industry, so you can call it a track record or whatever it is, but it's really understanding, not just technology, but the business and how these things come together to really get the most value from all the cool technology that's out there. So yeah, a lot of the fly by nighters, I mean, there's a lot of innovative things that are happening. And at duke five years ago, it was one of those very new things. And so we've been looking at it for a while and now we figured out the best way to incorporate it into our solution portfolio and to roll it out to customers >>When you're helping a customer. And you're, you're looking at the here and now, this is what they, they need to be addressing. I would imagine a lot of customers want to know what's around the corner, what's around the bend that we should be aware of, that we should try to be, be prepared for. What do you, what do you tell them? >>Well, I think, you know, everybody will say there's just more and more data coming at you. I think other analytic techniques like graph analysis is something that people particularly with social networks are trying to figure out how are people interrelated to each other. So it's a lot of different use cases and there's different analytic techniques that can be combined in unique ways. So a lot of our R and D investment is going into how do we bring more of those analytic techniques and unify them for people in one system. So that regardless of your data scientists or business analysts, you can ask really interesting, tough questions that you couldn't answer ask before. So it's about giving answers to sometimes the unknown questions and helping them explore that data through unique ways. >>What would you say are some of the industries that are maybe there's probably more urgency for them to adopt some of these strategies or perhaps just, they're more likely to have a big return on investment? What industries would you point to? >>I mean, for us, it's a lot of the traditional industries where you have a lot of consumers, right? Telecommunications, retail, retail, financial services, anybody who's working with. A lot of customers that have a lot of products, just have a lot of complexity, a lot of customer interaction touchpoints. So I think those are the people that typically we see adopting new technology and really thinking about how to better serve their customers >>For folks that are watching tuning in. And they're pretty excited about what you might be able to help them with. What's the best way for them to get in touch with you or, or >>You just go to teradata.com and check us out there. That's probably the best way to reach us. >>Right. Fantastic. Thanks for your time. Winston Edmondson here with studio B signing out.

live at hadoop summit this is SiliconANGLE and wiki bonds exclusive coverage of hadoop summit this is the cube our flagship program would go out the advanced extract the signal from the noise i'm to enjoy my co-host Jeff Kelly Jeff welcome to the cube Scott welcome to the cube great to have you here so you kicked off help kick off the show this morning with your keynote talking about a number of things among them the new teradata plans for Hadoop brought it on stage which I thought was great i love i love some i was joined by a dancing appliance okay great it was fantastic a good-looking appliance it was but why don't you tell us a little bit about yourself kind of your role and then we'll kind of get into what tara date is doing here at the show and some of the some of the strategies you're taking towards the big data market okay great well I'm Scott now I'm from tarde de labs and turny two labs is actually organization within teradata that is responsible for research development engineering product management product marketing all the products all of the technology that we roll out kind of the innovation engine of teradata is what we're responsible for and we've been obviously affiliated with hadoop summit we were here last year it's really great to be back having been in the in the data warehouse big data kind of data analytics business for a long time the one thing I have to say about this whole movement in the Hadoop space is that it's unlike anything else I've seen in that it's every geography it's every industry and there's so much energy and emotion around it's unlike any other transition that I've seen and even the difference between our visit here last year and this year where we've seen the the promise turned into reality where we've got customers who are implementing where we've got businesses who are driving value from the solutions that they're really that they're integrating with the solutions that they've already got and and being able to demonstrate that value really emphasizes the importance and I think will help to continue the momentum that we feel in this market Scott one of the things I want to ask you was obviously the theme at had dude was off loading data warehouses what they do is a benefit there but you have a relationship with Hortonworks and we've had we were talking early with Murph was an analyst at Gartner was talking about the the early adopters and the mainstream getting it now and but there's always a question of value right where's the value because his legacy involved right so the most of the web based companies are going to be cloud they'll be SAS they might have a Greenfield clean sheet of paper to work with on big data but an existing enterprise large financial institutions insurance company or what have you they have legacy technology and they have to but they want Hadoop they want to bring it in when you talk to folks out there what are some of the challenges and opportunities they have with that environment and the technology specifically sure that was like a long question there's a lot of a lot of threads in there I want to really try to hit on a couple of important themes because you know you hear it here I get asked a lot about it you know one of the things that people often say is you know this why are you here this whole Hadoop thing is offloading data warehouses isn't that bad doesn't that bother you and the answer is absolutely not certainly there's some hype around that and you know those some marketing around that but when you really look at the technology and the value of what it brings to the table it's a new technology that really allows us to harness new kinds of data and store those new kinds of data in the native format and you know storing detailed data in the native format really enables the best world-class analytics we've seen this happen for you know as long as my career is in the traditional data space so that's a really good thing the way I view it though is sure will some work load move around the infrastructure from the data warehouse to a Hadoop cluster potentially right and by the way if Hadoop is a great solution for it it should go there all right but at the same time there is more demand than there is supply of technology and what I mean by that is the demand for analytics is so extreme that actually adding this tool to the toolkit gives customers more choice and gives them the opportunity to really catch up with the backlog of things that they've wanted to invest in overtime and then the final point really I view what's happening here as perhaps one of the single largest opportunities for expansion of the role and size and scope of the data warehouse in an enterprise because one of the big things that Hadoop brings to the table is a whole lot of raw material a whole lot more data data that used to be thrown away data that never existed a year ago is now going to be able to capture be captured be stored be refined be analyzed and as companies start to find relationships as companies start to find actionable tidbits from the analytics in this huge source of raw material I think it's actually an opportunity for upside for them to integrate more data into their data warehouse where they can actually do the real-time interaction and streaming that's going to get them to the demonstrable business benefit so it's the modernization of the enterprise it's its modernization the way I look at it is also it's sometimes the word incremental can be it can sound like it we're trying to downplay it but I see it as incremental in that it's different data and it's incremental data it's incremental subject areas its new stuff that's going to come into the environment and based on what we've seen in the history of analytics right that there's no end to the value that companies find and there's no end to competition in their businesses so this is a huge opportunity for the entire community to deliver more analytics and i think that there's actually more upside for traditional legacy data warehouse vendors and there is anything I think that's a really important point because as you said a lot of people think about that offloading workloads but it's also about offloading we're close but bringing in new data doing more analytics and then moving some of that into back into the data warehouse you can actually create more value from it yeah I mean one of the things that I've seen is you know over time and Moore's law is something that's been going on for some time right and and cost erosion in Hardware has been going on for a long time and you think about the thing that you buy today for your bi implementation the hardware costs what twenty percent of what it costs three four years ago and you know what revenues continue to increase because they're such pent-up demand that as it gets less expensive it becomes more consumable and I think the same thing it's really going to continue to happen as we add in these new technologies and these new data types so one of the things I want to commend teradata for doing is focusing on kind of that reference protector and helping customers understand how this new technology of Hadoop and big data fits in with everything else that they're doing talk a little bit a bit about how from a reference architecture and then maybe even from a product perspective how teradata goes about turning this into a reality for enterprise customers who you know really you know they're not looking to just kick the tires of the Duke they want they want to use this for its really support you know applications and workflows they're really you know critical to their business yeah I think you know one of the biggest things that we can do to help the industry and to help our customers really is to define a realistic roadmap that's consumable for them in their enterprise and so while it's certainly easy to have marketing release or press release it says uh this new technology does everything in slices bread it washes your car does all these things in reality there are very few things like that in the world right but the new technologies and the new innovations really do fit into some very interesting new use cases and so by providing this integrated roadmap of how customers can deploy and fit these technologies together is a really great education process and it's been extremely well received by our customers and prospects I have to tell you that even in advance of the announcement of the things that we had here today we've already got customers who have gone down this path with us because it's such a compelling value proposition the other thing is that we don't actually put specific technology in those boxes it's a reference architecture we hope that there's some teradata product in there but at the same time we you know our customers understand that there is choice in the marketplace and the best solution is going to win and by providing this reference architecture I think we helped elevate ourselves to more of a trusted advisor status with with the the industry and in how we see these things fitting together and providing very effective very low-risk kinds of solutions well I think you hit on something that trusted advisor I think companies and enterprises are just crying out for some leadership and to help to help them really understand how they're going to make this a reality in their organizations and you know you mentioned kind of the openness and being you know allowing enterprises shoots a technology that fits that fits the the work case of course you know you hope that stared at in a lot of cases but it could be something else so talk a little bit about your relationship with hortonworks so I know you announced today kind of a reseller agreement you're going to be actually reselling the the subscription service to Hortonworks service offering talk about that a little bit and also I want to dive into the tech as well the Hadoop appliance I mentioned earlier like you announced and maybe just kind of walk us through some of the news to them sure so I mean obviously we have a strategic relationship with Hortonworks and it's our second year here at Summit and it really started with I think a very common view of what's happening in the marketplace and how these technologies should really play well together at the same time we also really believe that it's important that the community embrace the open source Apache version of the software so that it doesn't become fragmented and become obsolete right so Horton is spot-on in terms of business model and putting everything back into the Apache open source version so that means that I think this is the version that will win and this will be the version that companies can count on to be sustainable so i think that there's an advantage there implied so that's said i think it fits into the right place we've got a great engineering relationship and a great common vision on how the enterprise architecture and how the pieces can fit together and be optimized for different workloads for different service levels and for different applications so having that common vision and kind of I think bringing to Best of Breed providers together with Wharton works on the on the Hadoop side and teradata for what we're very well known for I think it's really the best of all worlds and we work together to lay out this reference architecture and so it's not just you know tur data came down from the mountain said this should be your reference architecture we've got some validation we got some validation of use cases and then we went to work from an engineering perspective on how we go build these things out and make them work and optimize them and support them end to end because obviously not only in you know with the all of the new solutions is their kind of a scarcity of talent and some confusion support becomes really really important so one of the things we added to our portfolio we announced today is an expanded relationship on the support side where customers can come to teradata for integrated support of all of their data analytics environments whether it be teradata whether it be asked her whether it be Hadoop with hdb and you know that's a really nice thing where there's one phone number to call we've got fully integrated processes we can help with a global footprint in the 80 countries where we do business and obviously Hortonworks with the with the extreme depth and ability to manage the content of the kernel can get it done unlike anyone else Scott we've been talking enterprise-grade all morning as you did those the theme of the keynote mer from our garden about security compliance I mean these are meat and potatoes enterprise issues right so I got to ask you what's what are you guys looking at what's what's coming next obviously the platform to do has a stabilized developers going to want to program on it in different environments but the reality in the enterprise is a certain requirement so what are you looking at in the labs that's coming around the corner that's it going to be really really important for customers to realize the value of scaling and harnessing the big data of Hadoop with the existing infrastructure yeah I mean I think there are two things that will continue to do one is will look to build out kind of that framework of ecosystem and in all of the keynotes this morning you know everyone talked about the value of the ecosystem and it's amazing the ecosystem how they're just more and more logos this year than there were last year and I think that that will continue but really building out that ecosystem so that those things that are important can be realized and they can be realized in a very repeatable fashion I think in addition to that kind of ease of use right because despite the fact that we have burgeoning numbers of newly minted data scientists and people getting into the marketplace that's really good there still aren't enough and so de-risking things by making them easier to deploy and easier to support i think is a key focus area and then you know finally I said two things but now third you know finally it will say to me I'd all right we'll continue to look at performance and just making sure that we have the best density the best performance the cost performance value proposition that our customers will want because I also continue to believe that the supply of data will outstrip any customers ability to invest in infrastructure I'd love to get your take on want to go back to mention to what you mentioned about the you know the Hadoop distribution focusing on a patchy and moving a patchy compatible so I take that number one to me and Tara day is not going to be coming out with their own Hadoop distribution absolutely not but how do you think about that yeah I think we can say that pretty definitively so but what about how do you see this whole Hadoop market playing out them you've got a Hortonworks Cloudera map are some others how do you see this playing out in the next year or so I mean is this you mentioned you think again that's kind of the open source of patchy versions going to kind of win when do you think that's going to happen you've got some competitors in the market and different business models hot yeah you know there are different business models and different innovators and you know my crystal ball is probably only about as clear as anyone elses but you know kind of for the long term I think it's best for the industry if if it mimics a model similar to the way Linux is deployed where this kind of a duopoly maybe three vendors it's very largely open source there's a lot of portability between I think that really strengthens the position of Hadoop as a tech as a core technology and foundation for some of the things that we're doing and so I would hope that in you know the most successful outcome would be that we'd end up with a duopoly or or you know maybe three kind of providers around a similar colonel because that would that would remove fragmentation from the market by the way I think it you know where we are software company so I think it's fair for companies to have value add proprietary software that's not a bad thing but at the file system level at a core two level I think the open source community cannot be out innovated right and and so I think that that's a really important thing so I think you know hopefully we'll get to that duopoly or maybe three companies that kind of have that I don't know if we will but I sure hope we do and I think the if I were to bet on it I would say it's odds on that that will be the case now will that be 18 months three years five years I don't know Scott thanks for coming inside the cube obviously you guys have a great position in the market place and the enterprise message is straw here that's what the demand is we're seeing a lot of trends out there that want the enterprise grade big data which is not just once there's but Hadoop's a big part of it Thanks coming inside the cube and sharing your perspective and what you got working on certainly having the new products come out to be great so thanks for coming onto the cube this is SiliconANGLE and wiki bonds coverage of hadoop summit we'll be right back with our next guest after this short break you

>>Ash it's, you know, what will that mean to my investment? And the announcement fusion IO is that, you know, we're 25 times faster on read intensive HBase applications. The combination. So as organizations are deploying Hadoop, and they're looking at technology changes coming down the pike, they can rest assured that they'll be able to take advantage of those in a much more aggressive fashion with map R than, than other distribution. >>Jack, how I got to ask you, we were talking last night at the Hadoop summit, kind of the kickoff party and, you know, everyone was there. All the top execs were there and all the developers, you know, we were in the queue. I think, I think that either Dave or myself coined the term, the big three of big data, you guys ROMs cloud Cloudera map R and Hortonworks, really at the, at the beginning of the key players early on and Charles from Cloudera was just recently on. And, and he's like, oh no, this, this enterprise grade stuff has been kicked around. It's been there from the beginning. You guys have been there from the beginning and Matt BARR has never, ever waffled on your, on your messaging. You've always been very clear. Hey, we're going to take a dupe open source a dupe and turn it into an enterprise grade product. Right. So that's clear, right? That's, that's, that's a great, that's a great, so what's your take on this because now enterprise grade is kind of there, I guess, the buzz around getting the, like the folks that have crossed the chasm implemented. So what can you comment on that about one enterprise grade, the reality of it, certainly from your perspective, you haven't been any but others. And then those folks that are now rolling it out for the first time, what can you share with them around? What does it mean to be enterprise grade? >>So enterprise grade is more about the customer experience than, than a marketing claim. And, you know, by enterprise grade, what we're talking about are some of the capabilities and features that they've grown to expect in their, their other enterprise applications. So, you know, the ability to meet full S SLA is full ha recovery from multiple failures, rolling upgrades, data protection was consistent snapshots business continuity with mirroring the ability to share a cluster across multiple groups and have, you know, volumes. I mean, there's a, there's a host of features that fall under the umbrella enterprise grade. And when you move from no support for any of those features to support to a few of them, I don't think that's going to, to ha it's more like moving to low availability. And, and there's just a lot of differences in terms of when we say enterprise grade with those features mean versus w what we view as kind of an incomplete story. So >>What do you, what do you mean by low availability? Well, I mean, it's tongue in cheek. It's nice. It's a good term. It's really saying, you know, just available when you sometimes is that what you mean? Is this not true availability? I mean, availability is 99.9%. Right? >>Right. So if you've got a, an ha solution that can't recover from multiple failures, that's downtime. If you've got an HBase application that's running online and you have data that goes down and it takes 10 to 30 minutes to have the region servers recover it from another place in the distribution, that's downtime. If you have snapshots that aren't consistent across the cluster, that doesn't provide data protection, there's no point in time recovery for, for a cluster. So, you know, there's a lot of details underneath that, but what it, what it amounts to is, do you have interruptions? Do you have downtime? Do you have the potential for losing data? And our answer is you need a series of features that are hardened and proven to deliver that. >>What about recoverability? You mentioned that you guys have done a lot of work in that area with snapshotting, that's kind of being kicked around, are our folks addressing, what are the comp what's your competition doing in those areas of recoverability just mentioned availability. Okay, got that. Recoverability security, compliance, and usability. Those are the areas that seem to be the hot focus areas what's going on in the energy. How would you give them the grade, the letter grade, if you will, candidly, compared to what you guys offer? Well, the, >>The first of all, it's take recoverability. You know, one of the tenants is you have a point in time recovery, the ability to restore to a previous point that's consistent across the cluster. And right now there's, there's no point in time recovery for, for HDFS, for the files. And there's no point in time recovery for HBase tables. So there's snapshot support. It's being talked about in the open source community with respect to snapshots, but it's being referred to in the JIRAs as fuzzy snapshots and really compared to copy table. >>So, Jack, I want to turn the conversation to the, kind of the topic we've talked about before kind of the open versus a proprietary that, that whole debate we've, we've, we've heard about that. We talked about that before here on the cube. So just kind of reiterate for us your take. I mean, we, we hear perhaps because of the show we're at, there's a lot of talk about the open source nature of Hadoop and some of the purists, as you might call them are saying, it's gotta be open a hundred percent Patrick compatible, et cetera. And then there's others that are taking a different approach, explain your approach and why you think that's the key way to make, to really spur adoption of a dupe and make it >>W w we're we're a part of the community we're, we've got, you know, commitment going on. We've, you know, pioneered and pushed a patchy drill, but we have done innovations as well. And I think that those innovations are really required to support and extend the, the whole ecosystem. So canonical distributes RN, three D distribution. We've got, you know, all our, our packages are, are available on get hub and, and open source. So it's not, it's not a binary debate. And I think the, the point being that there's companies that have jumped ahead and now that Peloton is, is, you know, pedaling faster and, and we'll, we'll catch up. We'll streamline. I think the difference is we rearchitected. So we're basically in a race car and, you know, are, are racing ahead with, with enterprise grade features that are required. And there's a lot of work that still needs to be done, needs to be accomplished before that full rearchitecture is, is in place. >>Well, I mean, I think for me, the proof is really in the pudding when you, when it comes to talk about customers that are doing real things and real production, grade mission, critical applications that they're running. And to me that shows the successor or relative success of a given approach. So I know you guys are working with companies like ancestry.com, live nation and Quicken loans. Maybe you could, could you walk us through a couple of those scenarios? Let's take ancestry.com. Obviously they've got a huge amount of data based on the kind of geological information, where do you guys do >>With them? Yeah, so they've got, I mean, they've got the world's largest family genealogy services available on the web. So there's a massive amount of data that they make accessible and, and, you know, ability for, for analysis. And then they've rolled out new features and new applications. One of which is to ship a kit out, have people spit in a tube, returned back and they do DNA matching and reveal additional details. So really some really fabulous leading edge things that are being done with, with the use of, of Hadoop. >>Interesting. So talk about when you went to, to work with them, what were some of their key requirements? Was it around, it was more around the enterprise enterprise, grade security and uptime kind of equation, or was it more around some of the analytics? What, what, what's the kind of the killer use case for them? >>It's kind of, you know, it's, it's hard with a specific company or even, you know, to generalize across companies. Cause they're really three main areas in terms of ease of use and administration dependability, which includes the full ha and then, and then performance. And in some cases, it's, it's just one of those that kind of drives it. And it's used to justify, in other cases, it's kind of a collection. The ease of use is being able to use a cluster, not only as Hadoop, but to access it and treat it like enterprise storage. So it's a complete POSIX compliance file system underneath that allows the, the mounting and access and updates and using it in dynamic read-write. So what that means from an application level, it's, it's faster, it's much easier to administer and it's much easier and reliable for developers to, to utilize. >>I got to ask you about the marketing question cause I see, you know, map our, you guys have done a good job of marketing. Certainly we want to be thankful to you guys is supporting the cube in the past and you guys have been great supporters of our mission, but now the ecosystem's evolving a lot more competition. Claudia mentioned those eight companies they're tracking in quote Hadoop, and certainly Jeff and I, and, and SiliconANGLE by look at there's a lot more because Hadoop washing has been going on now for the term Hadoop watching me and jumping in and doing Hadoop, slapping that onto an existing solution. It's not been happening full, full, full bore for a year. At least what's the next for you guys to break above the noise? Obviously the communities are very active projects are coming online. You guys have your mission in the enterprise. What's the strategy for you guys going forward is more of the same and anything new even share. >>Yeah, I, I, I think as far as breaking above the noise, it will be our customers, their success and their use cases that really put the spotlight on what the differences are in terms of, of, you know, using a big data platform. And I think what, what companies will start to realize is I'd rather analogy between supply chain and the big, the big revolution in supply chain was focusing on inventory at each stage in the supply chain. And how do you reduce that inventory level and how do you speed the, the flow of goods and the agility of a company for competitive advantage. And I think we're going to view data the same way. So companies instead of raw data that they're copying and moving across different silos, if they're able to process data in place and send small results sets, they're going to be faster, more agile and more competitive. >>And that puts the spotlight on what data platform is out there that can support a broad set of applications and it can have the broadest set of functionality. So, you know, what we're delivering is a mission grade, you know, enterprise grade mission, critical support platform that supports MapReduce and does that high performance provides NFS POSIX access. So you can use it like a file system integrates, you know, enterprise grade, no SQL applications. So now you can do, you know, high-speed consistent performance, real time operations in addition to batch streaming, integrated search, et cetera. So it's, it's really exciting to provide that platform and have organizations transform what they're doing. >>How's the feedback on with Ted Dunning? I haven't seen a lot of buzz on the Twittersphere is getting positive feedback here. He's a, a tech athlete. He's a guru, he's an expert. He's got his hands in all the pies. He's a scientist type. What's he up to? What's his, what's his role within Mapa and he's obviously playing in the open-source community. What's he up to these days, >>Chief application architect, he's on the leading edge of my house. So machine learning, so, you know, sharing insights there, he was speaking at the storm meetup two nights ago and sharing how you can integrate long running batch, predictive analytics with real-time streaming and how the use of snapshots really that, that easy and possible. He travels the world and is helping organizations understand how they can take some very complex, long running processes and really simplify and shorten those >>Chance to meet him in New York city had last had duke world at a, at a, a party and great guy, fantastic geek, and certainly is doing a great work and shout out to Ted. Congratulations, continue up that support. How's everyone else doing? How's John and Treevis doing how's the team at map are we're pedaling as best as you can growing >>Really quickly. No, we're just shifting gears. Would it be on pedaling >>Engine? >>Yeah. Give us an update on the company in terms of how the growth and kind of where you guys are moving that. >>Yeah. We're, we're expanding worldwide, you know, just this, you know, last few months we've opened up offices and in London and Munich and Paris, we're expanding in Asia, Japan and Korea. So w our, our sales and services and engineering, and basically across the whole company continues to expand rapidly. Some really great, interesting partnerships and, and a lot of growth Natalie's we add customers, but it's, it's nice to see customers that continue to really grow their use of map are within their organization, both in terms of amount of data that they're analyzing and the number of applications that they're bringing to bear on the platform. >>Well, that a little bit, because I think, you know, one of the, one of the trends we do see is when a company brings in big data, big data platform, and they might start experiment experimenting with it, build an application. And then maybe in the, maybe in the marketing department, then the sales guys see it and they say, well, maybe we can do something with that. How is that typically the kind of the experience you're seeing and how do you support companies that want to start expanding beyond those initial use cases to support other departments, potentially even other physical locations around the world? How do you, how do you kind of, >>That's been the beauty of that is if you have a platform that can support those new applications. So if you know, mission critical workloads are not an issue, if you support volumes so that you can logically separate makes it much easier, which we have. So one of our customers Zions bank, they brought in Matt BARR to do fraud detection. And pretty soon the fact that they were able to collect all of that data, they had other departments coming to them and saying, Hey, we'd like to use that to do analysis on because we're not getting that data from our existing system. >>Yeah. They come in and you're sitting on a goldmine, there are use cases. And you also mentioned kind of, as you're expanding internationally, what's your take on the international market for big data to do specifically is, is the U S kind of a leaps and bounds ahead of the rest of the world in terms of adoption of the technology. What are you seeing out there in terms of where, where the rest of the, >>I wouldn't say leaps and bounds, and I think internationally, they're able to maybe skip some of the experimental steps. So we're seeing, we're seeing deployment of class financial services and telecom, and it's, it's fairly broad recruit technologies there. The largest provider of recruiting services, indeed.com is one of their subsidiaries they're doing a lot with, with Hadoop and map are specifically, so it's, it's, it's been, it's been expanding rapidly. Fantastic. >>I also, you know, when you think about Europe, what's going on with Google and some of the, the privacy concerns even here, or I should say, is there, are there different regulatory environments you've got to navigate when you're talking about data and how you use data when you're starting to expand to other, other locales? >>Yeah. There's typically by vertical, there's different, different requirements, HIPAA and healthcare, and basal to, and financial services. And so all of those, and it, it, it basically, it's the same theme of when you're bringing Hadoop into an organization and into a data center, the same sorts of concerns and requirements and privacy that you're applying in other areas will be applied on Hindu. >>I'm now kind of turning back to the technology. You mentioned Apache drill. I'd love to get an update on kind of where, where that stands. You know, it's put, then put that into context for people. We hear a lot about the SQL and Hadoop question here, where does drill fit into that, into that equation? >>Well, the, the, you know, there's a lot of different approaches to provide SQL access. A lot of that is driven by how do you, how do you leverage some of the talent and organization that, you know, speak SQL? So there's developments with respect to hive, you know, there's other projects out there. Apache drill is an open source project, getting a lot of community involvement. And the design center there is pretty interesting. It started from the beginning as an open source project. And two main differences. One was in looking at supporting SQL it's, let's do full ANSI SQL. So it's full 2003 ANSI, sequel, not a SQL like, and that'll support the greatest number of applications and, you know, avoid a lot of support and, and issues. And the second design center is let's support a broad set of data sources. So nested sources like Jason scheme on discovery, and basically fitting it into an enterprise environment, which sometimes is kinda messy and can get messy as acquisitions happen, et cetera. So it's complimentary, it's about, you know, enabling interactive, low latency queries. >>Jack, I want to give you the final word. We are out of time. Thanks for coming on the cube. Really preached. Great to see you again, keep alumni, but final word. And we'll end the segment here on the cube is your quick thoughts on what's happening here at Hadoop world. What is this show about? Share with the audience? What's the vibe, the summary quick soundbite on Hadoop. >>I think I'll go back to how we started. It's not, if you used to do putz, how you use to do and, you know, look at not only the first application, but what it's going to look like in multiple applications and pay attention to what enterprise grade means. >>Okay. They were secure. We got a more coverage coming, Jack Norris with map R I'll say one of the big three original, big three, still on the, on the list in our mind, and the market's mind with a unique approach to Hadoop and the mid-June great. This is the cube I'm Jennifer with Jeff Kelly. We'll be right back after this short break, >>Let's settle the PR program out there and fighting gap tech news right there. Plenty of the attack was that providing a new gadget. Let's talk about the latest game name, but just the.

>>Come back here. This is Silicon Valley coverage of ADU Summit. I'm John Fur, the founder. We're, we're pleased to have a friend inside the cube. It's rare to have such luminaries, Ama Aala, good friend and also co-founder of Cloudera. Really the pioneer in the space that helped build this industry that we're living here at at Hadoop Summit. I'm with Dave Ante from wiba.org. Amour, welcome back to the Cube Cub alumni. Thank you for having me here. Wow, what a journey. Are you co-founded Cloudera? I remember when you in Stealth Mo, I really can't talk about it. And, and then of course the history of Silicon Angle being, you know, founded and kind of built in in your office when you only had like 20 something employees. Yep. We owe a great deal of gratitude to you and, and congratulations to you Michael Olson, the team for building an industry. So I just wanted Thank you. Thank you. And welcome to the Cube. >>Thank you. It was great to be here. >>So what do you think, what's your take on the current Hadoop ecosystem right now? I mean, obviously a lot's happened. I mean it's big now. It's growing up fast. Yeah. The word enterprise grade is out there. You're seeing it move from, you know, trying to change the world. Our first interview, you said, I've seen the future, I want to bring it to the mainstream. It's here. Yeah. It's hitting mainstream right now. Yeah. What's your take of the current situation of the ecosystem and it's, and its value? >>Yeah, so I, I have a quick question first. Should I look to you or look to the camera? Look to >>The camera or both? Whatever you, whatever you'd like. >>So I think it's, the ecosystem is definitely growing, which is very, very healthy. However, there is a side question there, which is what do you think of all the competition coming into the space? So five years ago when Cloudera was started was just Cloudera. There was no other commercial vendor trying to support or enable Hadoop in the, in the industry for enterprises. And today there is at least 10 of them trying to compete with us, right? And that includes big companies, established companies that decided, hey, we gonna start addressing the space, but includes many, many newcomers who like Hortonworks, who were founded over the last couple of years. That's a healthy thing. I mean, that's absolutely a sign of a growing market. If the market wasn't growing, if there wasn't money in the market, if there wasn't, if it was just hype, there wouldn't have been all of these new companies and new ventures showing up. That said, I never look at competition as something that worries me, that I'm afraid now or what's gonna happen to me, or that's normal. That's exactly what happens to successful companies. If you look at Red Hat, when Red Hat was launching with the Linux, they had 25 competitors or even more 30 competitors. That's when Red Hat was forming out. And today, even of these 25, 30 competitors, they still have six or seven still left. So I think it's a very, very healthy sign of the graph of this market and the maturity that's reaching. >>What do you think about some of the, the white spaces that are evolving? You guys have obviously been involved in a lot of deployments at Cloudera. Again, you're doing a lot of, lot of work with the top, top names and the clients that you have aren't usually disclosed cuz you really can't disclose them. What, what are you seeing right now as the white spaces for things to do in the Hado platform? >>It's a very, very good question. So first I can't talk about future, future roadmap. Right now we're becoming a big company at that level where we can't comment on future roadmaps. >>Ah, that's sinus sign of the >>Time. You're well media train, good to see they're doing a good job keeping you >>A, You want more information on that? I can connect you with a pt, >>Please. No, no, no, we're good. We're good. We'll get it outta you. But, >>But our vision, our vision for Cloudera from day one, like you were saying earlier, we saw the future, right? So our vision from from day one was really to build this data system where we can have detail of any type, whether that data is structured or unstructured or images, it doesn't matter. And then on top of that data run any type of workloads. That workload could be the initial genesis of Hado, which is map use, which is batch processing. But now as as we made many announcements through the last few years, we also now have Impala for interactive analytics as a workload. We have a very, very strong partner partnership with SaaS for doing machine learning and statistics as a workload. And a few weeks ago we announced search as another workload. So you have multiple types of workloads that can handle different types of problems that you have within your organization and bring all of these workloads to all of your data regardless of type. And that's the vision that we'll continue to deliver on. That's exactly what we're building going into the >>Future. So how's that fit in with yarn, right? We're hearing a lot at this conference about yarn, the ability to, you know, do more with less in a lot of the things that you typically hear with the enter within the enterprise. And, and so talk about that a little bit. >>Yarn is a very core part to our platform. In fact, yarn has been part of CDH four for more than a year now out in the, in the markets. So we did bring, we were one of the, I think we were the first vendor who brought yarn into a distribution of Hado out there. It's very, very fundamental to us because that is how we're gonna coordinate. We are gonna be using yarn to coordinate launching all of these different type of workloads. You're gonna have the map produce workload, which is very batch oriented. The Impala workload, which is very latency sensitive. The, the search workload, which is also very latency sensitive. The machine learning workload, which is more batch oriented, et cetera, et cetera. And yarn is a very, very central piece to helping us coordinate all of these different types of workloads onto the >>Platform. Cloudera has been a great citizen in the community also. You, you mentioned and, and we witnessed that your team create the industry. You guys were there, you took the chance, you were the first ones commercially funded by the venture capitalists, you know, then others will follow and I'll see huge ecosystem here. Yes. A lot of noise. A lot of people trying to get attention. So I got to ask you, because I want you to address this because I know it's been talked about in some of the other blogs is there's a lot of fud going on around who's doing what? Who's doing what, and in some cases maybe flat out, you know, misinformation and that happens in a growing market, you know, the elbows get sharp. Yes. So I want you share with the audience anything that you want say about the fud around what people say about Cloudera or about others or what you're doing. Just to clarify, cuz there has been, I mean I've gotten back channel information around, you know, not sure the committers this, and it's been, it's been well documented. There's a lot of fu out there. What, what would you say to the folks out there to clarify >>That? Yes, I, I would say that our focus should be to continue to work as a community, to push the platform forwards. I would say that at Cloudera we do a lot of contributions. Horton works definitely is one of the top contributors out there as well. I'll acknowledge that. So as many, many, many other companies and we wanna continue to see the platform evolve. I will stress though that at Cloudera we do have a number of the original project founders working at the company. So it's not just the, the contribution that we bring, but the fact that we have the founders of these projects working at Cloudera. And some of these projects actually were created at Cloudera from day one as opposed to created in some other company. And then you hire the employee and they work for you. So I gave you what examples from Cloudera dot cutting. >>He is the creator of Hudu dot Cutting is also the creator of Luine, which became solar, which is part of the search project that we launched recently. Dot Cutting wasn't with Cloudera from day one, right? So, so when he created these technologies, he actually was at Tia for example, when he created had he was at ta, wasn't at Cloudera. However, he now works for Cloudera. So we get that because now that cutting works for Cloudera. So that's one example. On the flip side, there is projects like Flume and Scoop that are now part of every single distribution out there. And flu and Scoop were both created at Calera. They were actually created inside of Cloudera. Yeah. So the key point is, and and that's what I would like all of the vendors out there that are trying to leverage had and get benefit about out Hadoop is please don't be just takers. >>There are some vendors out there who are just takers. Just wanna take from the open source, take from the open source and don't give back. Right? I'm not gonna name them, but there is a few of them out there. Please, please, please. I mean that that, that is very, very a selfish behavior. It's not gonna help the ecosystem in the long term. We would like to see you both take and give at the same time. So that would be my core message. And that's for example, like I thank Hortonworks because that's exactly what Hortonworks is doing. They're both giving and taking at the same >>Time. You guys have always been clear on that. Nobody, I mean here contribution to open source has been well documented and there's, there's no question about that. John and I have talked about it a lot that you guys help get it all started. And even Haak when we had 'em on a couple years ago, when Horton Works came to the market said, Hey, the more people work on an open source, the better. >>Yeah, >>Exactly. So yeah, it's always been, been your posture. You're not playing games there. Anyways, having said that, you you, you have a strategy to layer on top of that open source some of your own proprietary code. And so you have choices to make Yes. In terms of how you allocate those resources. So as an engineering manager, how do you allocate those resources in terms of, okay, what do we do for the community and what do we do for our own, you know, future because of the business model that we chose? How do you make those trade offs? >>Yes, that's a very, very good question. So first it's important to stress that our core platform, CDH, is open source. Everything we put in the core platform is open source. So for example, in Palo, which we launched very recently as a ga, now we launched beta last year, but now's ga is a hundred percent Apache license, a hundred percent open source search, which we announced very recently is also open source. So the platform itself, we're committing to everything in there to be open source. Now we believe fundamentally just from having lots of history in studying the open source markets from our ceo Mike Olson himself being one of the very first open source people in the world with, with sleepy cats, the company that he sold to Oracle before founding Cloudera from our investors, helping many other open source companies. To have a successful open co open source company, you need to have a very good engine between the business model that generates revenue and between the product that you are creating. If you don't have a good feedback loop there between these two, you won't be able to sustain the innovation to continue to push the, the boundaries of how good the product is. So we strongly believe in that if you are, if your product is literally a hundred percent open source, meaning both the management and every, there is nothing proprietary whatsoever inside of your products. I can't tell what that is. It's >>Taking a picture. >>Oh, sorry, I thought somebody was waiting >>For me. >>Sorry about that. >>It's a cheap signal. >>It >>Was like a's really good. >>I thought it's like a card of paper with some writing. You, >>You, you have a fan fans out there. They're storming the, the concert here. >>Okay, that's, that's good to hear. That's good to hear. Sorry about that interruption. So if, if, if you have everything a hundred percent open source, that creates two problems. First you have no differentiation whatsoever, meaning another big corporation without naming who the big corporations could be, we just can take everything you do, literally every single bit of source code you have and say, Hey, we can do it too. Come to us, don't work with those guys. Right? We have the latest, greatest things that they have. Why do you wanna continue to work with them? So no, no differentiation is number one, which is very dangerous. And number two, when it becomes, if, if it's a hundred percent open source and there is lots of other vendors able to take the art, the open source artifact and work with it, then it becomes now purely about maintenance and insurance on the products, which is a commodity product, which obviously the prices for that will go down to the ground and you won't be able to have this sustain this positive feedback effect between your business model and between your product code map and won't be able to build a long-lasting company. >>So that's why we do have a combination of open source artifacts and proprietary artifacts. Now our pro proprietary AR artifacts is always around the management of the system, right? So how do we manage the security of the system? How do we manage the, the data flow within the system? How do we manage the services inside the, of the system across all layers, right? Not just the Hado player but the edge based layer, the zookeeper layer, et cetera, et cetera. So that's where we focus our efforts going forward and that's how we differentiate ourself from our, from other vendors out there. Cloudera manager, Cloudera navigator are very unique to us. Nobody else has anything close to those capabilities out there. >>So it sounds like the contributions you make to open source are cultural of, of, in nature, I mean DNA of sorts of Right. And so you're, that's something that you guys do cuz you've always done it. Absolutely. And then the, the artifacts that are proprietary are essentially around rationalizing the revenue opportunity with the expense that you're gonna apply there and making a business case decided >>How to balance. That's that's one. And then two, the differentiation from other competitors. So these two things, Yes. >>Okay. >>I believe that's fundamental to business to open source business models. >>Yeah, I mean there are many open source business models, right? You can go pure service, you can go, like you said, you can totally bogart the code. >>There is no, there is no pure service open source model company that was able to build the longlasting surviving public company, never happened in history. They always get acquired because it becomes a commodity. I >>Mean, right. I mean, I mean and even ibm, right? >>Tom or I want to ask you about the storage thing. We were talking before camera, the, the hor and worst announcement storage you, what's your take on that? >>Which one? The Gluster, the one with Red Hats? Yes. Yes. So Red Hats and yeah, there has been recent news about Red Hat with, with Hor Works having a version of the Haddo platform that uses map use for the computation but uses Red Hat for the storage, right? So Red Hat has a new storage offering that was built based off of a company they acquired was called Guster. And that, that news was very, very surprising to me. And it, the reason why it was surprising, it's correlated also with a shift in messaging from, from Horton works. If you look at Horton Works last year at had Summit last year, one of the key messages that they deliver to us is that within the next five years or by 2015, the tagline back then by 2015, and you're doing research right now to see if I'm saying the right thing. By 2015, half the world data data will be on, will be stored in had would be stored in had. Yes. If you look today at the slides, it >>Doesn't say that it says within five years, >>Right? No, no, no. It says, well >>That was the second iteration was within five years. And now they say something >>Different. Now say they say within 2015 by, sorry, by 2015, half the world's data will be processed by Hado and instead of stored by Hado. And that's a very, very fundamental So >>It's a nuance. >>It's a, it's a very important >>Nuance. Well it's a big deal because yes, when I first saw that I said, Hmm, what does this all mean? And then it sounds 2015 sounds a little early. Yes. And now you're saying processed by, Okay that's different. >>Yes, exactly. And and the reason why now is we believe s GFS is very, very core to the had platform. S GFS is very core to had platform, the storage system of had we want. It's really the layer that Mid had with is more than anything else is how scalable, how reliable and how economical the sdfs storage layer is. So we, we really, I mean ask qu works and ask all the companies working in the, in the had community not to fragment at the storage layer. We need the storage for had to stay inside of had and not to fragment that out. That's very, very critical. >>Okay. So but so >>You're saying that they're in indicating through the gesture that, that they're not come out saying we're going to fragment Hgfs, but the way that this is position might signal >>No, no, no. The announcement, the announcement with Red Hat is >>That is the direct signal. It's >>Literally, we, you'll be able to run map produce directly on top of Red Hat storage instead of sdfs. >>Okay. So >>I >>Interpreted it, I interpret it as they were just hortonwork was hedging on its prediction, which I said Okay, I'll give 'em a break on that. You're saying it's something different, >>It's a shift in strategy potentially. Yeah. Which can be dangerous. It's shift in strategy. >>Is that a compliance issue? Cuz you know, the, the Dishon Hads poss Yeah. Red Hat does have a lot of enterprise customers. Yeah. So is that just maybe if >>Then invest in making had poss compliance, which actually by the way, we are as a community investing in that. Yeah. Yes. You must have. Yeah. So we are investing in adding compulsive poss compliance to had, we're investing in adding snapshots into had, which will be coming very, very soon overnight. >>Well, do you think that that pick a year, I don't care if it's 2015 2000, 22,000 whenever that the majority of the world's data will be running into do >>The majority of worse data that has to do with analytics. Yes. Okay. So so there is, >>So that is that >>Is it's very important, the caveat. Yes, exactly. Because there is lots of types of data that are not very suitable for, had at all. For example, that data storage for Oracle systems, for Oracle database systems. No, you wanna store that in an NetApp emc you don't wanna store that in Hao the, the, the, the, the data storage for streaming video files, right? For just streaming lots and lots of video files. No, you don't wanna store that indu. It's >>A huge >>Proportion of the data. Yeah. Which is a huge, huge >>Proportion of data files, in fact that could overwhelm the data. >>Yeah. So the new nuance, like I would say like I agree that the half thing but the half thing within the world of data for the purpose of analysis. >>Yeah. Okay. So that's, that's >>Narrow down the >>Yeah, okay. But it's a more reasonable, But I've, I >>Never, It's still a huge market by the way. It is. Yeah, >>It is. Yes. Okay. So, so what's next for you? A are you, you, you've gone on this, this journey, you start this company. You've, you've been traveling around like crazy working with customers. What's the next phase of aara do's, you know, career? >>What >>Do you want to have happen next? I mean, what, what do you, what excites you? What do you, what are you working on? >>Yeah, it's just to continue to grow cloud there to be the biggest company it can be. I mean, we want to be literally, we want be one of the very few companies that we're able to take an open source model and turn that into a large publicly traded corporation. >>So you've talked about that you guys brought a new CEO on Right. Look at the background of the ceo and it's, you know, clearly it's got some IPO chops. Yes. So that's, that's an aspiration that you guys have put forth. Okay. >>And you're outward facing now. So you're doing a lot of travel. Yes. So what, what, where have, what have your travels taken now? You've been in China, you obviously you've got a European office Yeah. Open. So what's going on internationally? Give us some sound bites of, of what's happening in the field. Yeah, >>So in, in internationally, I mean, Europe definitely is our next big focus right now. And we now have a big operation in Europe and we have an office presence in, in Europe and a big team down there. And it's growing very quickly. I would say Europe is about two years behind the US kind of like that's how the, how the growth usually matters. What's happening here. And yeah, so we, our, our next big market is Europe. We are looking at China. We don't have a big process in China right now. Japan, we have a big presence in Japan. Japan is growing very quickly. So yeah, I mean we're obviously Canada with the US growing very quickly as well. >>Great to have you on the cube again, for me personally and, and for, for Dave. And I wanna say thanks to Cloudera for some great support over the years. You guys have been fantastic. You know, I say it's built a great company. It's so hard to build a company. You guys have done a great job. I gotta ask you the final question because you did bring that first sound bite, which was, I saw the future, this is back when you guys were just in your B round in, in Palo Alto office, just ramping up, just starting to ramp what's next? What do you see as around the corner? Obviously we're on a trajectory right now. A lot of things gonna get done. Positive compliance, a lot of stuff's gonna fill in. The platform's gonna get stronger. Yeah. We think that open source will win. Yeah. Through all the democratization of open source. What's next? What's the, what's around the corner that you're watching personally that you're, that's interesting to you? A or around where this will take us? >>Yeah. So what, what's next is having this, having this vision become true. Having this future vision that, that you refer to become true. Meaning having a single platform that can store all of your data and that can, regardless of the type of that data, and allow you to extract value for different types of workloads, whether that be batch, interactive machine learning or search or more, right? There will be more things that will come to the platform, but how to bring your applications, all of your data applications, how to bring them to your data and all of your data as opposed to have the data go to them. >>And what are the landmines out there that you need to avoid Yes. In the industry and community needs to avoid to make that a reality. >>The, the key landmine, it's, it's a bit technical. The landmine is a bit technical, which is making sure that they, they are vision continues to evolve and that we have the capability to properly have a multi workload resource management system that allows me to run all of these type of workloads without having them step on each other's steps. That's the key key step going forward. And >>Of course, playing well together in the sandbox. And as always, competitive competition is good. And again, Hadup is doing great. Amma Aala, co-founder of Cloudera inside the Cube. This is Silicon Angle and Wiki Bond's exclusive coverage of ADU Summit here in Silicon Valley. Right back with our next guest after the short break.

>>we're back. >>This is Dave Volante. I'm with Wiki bond dot Oregon. This is Silicon angle's the cube where we extract the signal from the noise. We go into the events, we're bringing you the best guests that we can find. And we're here at the AWS summit. Amazon is taking the cloud world by storm. He was on, invented the cloud in 2006. They've popularized it very popular of course with developers. Everybody knows that story. Uh, Amazon appealing to the web startups, but what's most impressive is the degree to which Amazon is beginning to enter the enterprise markets. I'm here with my cohost Jeff Frick and Jeff, we heard Andy Jassy this morning just laying out the sort of marketing messaging and progress and strategies of AWS. One of the things that was most impressive was the pace at which they put forth innovations. We talked about that earlier, but also the pace at which they proactively reduce prices. Uh, that's different than what you'd see in the normal sort of enterprise space. Talk about that a little bit. >>Yeah. Again, I think it really speaks to their strategy to lock up the customer. It's really a lifetime value of the customer and making sure that they don't have a really an opportunity or a reason to go anywhere else. So as we discussed a little bit earlier, they leverage, you know, kind of the pure hardware economics of, of decreasing a computing power, decreasing storage, decreasing bandwidth, but then they also get all the benefits of scale. And I think what's in one of the interesting things that Andy talked about and kind of his six key messages was that it's actually cheaper to rent from them because of the scale than it is to buy yourself. And I know that's a pretty common knock between kind of a build or buy, um, kind of process you go through and usually you would think renting at some scale becomes less economical than if you just did it yourself. But because their scale is so massive because of the flexibility that you can bring, uh, computing resources to bear based on what you're trying to accomplish really kind of breaks down the, uh, the old age old thought that, you know, at scale we need to do it ourselves. >>Well, and that's the premise. Um, I think, and, uh, let's Brits break down a little bit about that, that analysis and, and Andy's keynote. So he put forth some data from IDC which showed that, uh, the Amazon cloud is cheaper than the, uh, a, a so-called private cloud or an in house on premise installation. You know, I certainly, there's, it's, it's a, it's an, it's depends, right? It really depends on the workload. That's somewhat of an apples to orange is going on here and the types of workloads that are going down in the AWS cloud, granted he's right and that they're running Oracle, they're running SAP, but the real mission critical workloads, what he calls mission critical aren't the same as what, you know, Citi would call mission critical. Right? So to replicate that level of mission criticality, uh, would probably almost most certainly be more expensive rental versus owning the real Achilles heel of, of, of any cloud, not just Amazon. >>Cloud really is getting data out. Um, moving data, right? Amazon's going to charge you not to get data in. They're gonna charge you to store it there to exercise, you know, compute. Uh, and then, but they're also gonna charge it if you wanted to take it out. That's expensive. The bandwidth costs and the extrication costs are expensive. Uh, the other issue with cloud again is data movement. It takes a long time to move a terabyte, let alone multiple terabytes. So those are sort of the two sort of Achilles heels of, of cloud. But that's not specific to Amazon's cloud. That's any cloud. Yeah. So we've got a great lineup today. Um, let's see. We've got Ariel Kelman coming on, uh, and I believe he's in the house. So we're going to take a quick break. Quick break. Right now we right back with Ariel Kelman, who's the head of marketing at AWS. Keep right there. This is the cube right back. >>we lift out all the programs out there and identified a gap in tech news coverage. Those shows are just the tip of the iceberg and we're here for the deep dive, the market beg for our program to fill that void. We're not just touting off headlines. We also want to analyze the big picture and ask the questions that no one else is asking. We work with analysts who know the industry from the inside out. So what do you think was the source of this missing? So you mentioned briefly there are, that's the case then why does the world need another song? We're creating a fundamental change in news coverage, laying the foundation and setting the standard, and this is just the beginning. We looked on all the programs out there and identified a gap in tech news coverage. There are plenty of tech shows that provide new gadgets and talk about the latest in gaming, but those shows aren't just the tip of the iceberg. And we're here for the deep dive. >>Okay, >>Dave Olanta. I'm with Wiki bond.org and this is Silicon angle's the cube where we extract signal from the noise. We bring you the best guest that we can find. We go into events like ESPN goes into sporting events, we go into tech events, we find the tech athletes and bring to you their knowledge and share with you our community. We're here at Moscone in San Francisco at the AWS summit. We're here with Arielle Kellman who's the head of worldwide marketing for AWS. Arielle, welcome to the cube. Thanks for having me, Dave. Yeah, our pleasure. I really appreciate you guys having us here. Great venue. Uh, let's see. What's the numbers? It looks like you know, many, many thousands, well over 5,000 people here by four or 5,000 people here. We're doing a about a dozen of these around the world, one to 4,000 people to help educate our customers about all the new things we're doing, all the new partners that are available to help them thrive in the AWS cloud. >>It's mind boggling the amount of stuff that you guys are doing. We just heard NG Jesse's keynote, for those of you who saw Andy's keynote at reinvent, a lot of similar themes with some, some new stuff in there, but one of the most impressive, he said, he said, other than security, one of the things that we're most proud of is the pace at which we introduce new services. And he talked about this fly wheel effect. Can you talk about that a little bit? Sure. Well, there's kind of two different things going on. The pace of innovation is we're really trying to be nimble and customer centric and ultimately we're trying to give our customers a complete set of services to run virtually any workload in the cloud. So you see us expanding a broader would additional services. And then as we get feedback we add more and more features. >>Yeah. So we're obviously seeing a big enterprise push. Uh, Andy was, was very, I thought, politically correct. He said, look, there's one model which is to keep charging people as much as you possibly can. And then there's our model, which is we proactively cut prices and we passed that on to customers. Um, and, and he also stressed that that's not something that's not a gimmick. It's not a sort of a onetime thing. Can you talk about that in terms of your philosophy and your DNA? It's just our philosophy. It's actually a lot less dramatic than is often portrayed in the press. Just the way we look at things as we're constantly trying to drive efficiencies out of our operations. And as we lower our cost structure, we have a choice. We can either pocket those savings as extra margin or we can pass those savings along to our customers in the form of lower prices. >>And we feel that the ladder is the approach that customers like and we want to make our customers happy. So this event, uh, we were talking off camera, you said you've been doing these now for about two years. You do re-invent once a year. That's your big conference out in Vegas and it's a very, very large event, very well attended. And you do these regionally and in and around the world, right. Talk about that a little bit. We do about a dozen of these a year. Um, we did, uh, New York a couple of weeks ago, London, Australia and Sydney. I'm going to go to India and Tokyo, really about a dozen cities in the world and it's a little tactic. I'm not going to beat all of them, but you know, the focus is to really, uh, deliver educational content. Uh, we'll do about maybe 12 to 16 technical breakout sessions all for free, uh, for, for customers and people who want to learn about AWS for the first time. >>And the, and the audience here is largely practitioners and partners, right? Can it talk about the makeup a little bit? Sure. It's a pretty diverse set of people. Um, we have a technical executives like CEOs and architects and we have lots of developers and then lots of people from our, our partner ecosystem of integrators wanting to, um, you know, brush up on the latest technologies and skills and a lot of people who just want to learn about the cloud and learn about AWS. I think there are a lot of misconceptions about AWS and I'd like to just tackle some of those with you if I may. So let me just sort of, let's list them off and you can respond. Yeah, we'll let our audience to sort of decide. So the first is that AWS has only tested dev workloads. Can you talk about that a little bit? >>Sure. Um, well test and dev local workloads are very popular. We saw, we covered that in the keynote. Um, and it's often a place where it organizations will start out with AWS, but it is by no means the most popular or most dominant workload. We have a lot of people migrating, uh, enterprise apps to the cloud. Um, if you look at, uh, in New York, uh, in our summit we talked about Bristol Myers Squibb, uh, running all of their, um, clinical trial simulations and reducing the amount of time it takes to run a simulation by 98%. Uh, if people are running Oracle, SharePoint, SAP, pretty much any workload in the cloud. And then another popular use is building brand new applications, uh, for the cloud. You can miss, some people call them cloud native applications. A good example is the Washington post who built an app called the social reader that delivers their content to Facebook and now as more people viewing their content, their than with their print magazines and they just couldn't have done that, uh, on premises. >>So, uh, the other one I want to talk about, we're going to do some serious double clicking on security so we don't have to go crazy on it, but, but there's a sort of common perception that the cloud is not secure. What do you guys say about that? Yeah, so, um, really our number one priority is security. You're looking at a security, operational performance, uh, and then our pace of innovation. But with security, um, what we want to do is to give enterprises everything they need to understand how our security works and to evaluate it and how it meets with their requirements for their projects. So it really all starts with our, our physical security, um, our network security, the access of our people. They're all the similar types of technologies that our customers are familiar with. And then they also tend to look at all the certifications and accreditations, SAS 70 type two SOC one SIS trust. >>I ATAR for our government customers. And then I think it was something a lot of people don't understand is how much work we've put into the security features. It's not just is the cloud secure, but can I interact and integrate, uh, your security functionality with all of my existing systems so we can integrate with people's identity and access systems. You could have a private dedicated connection from your enterprise to AWS with direct connect to, I really encourage anyone who has interest in digging into our security features to go to the security center and our website. It's got tons of information. So I'm putting on the spot. Um, what percent of data centers in the world have security that are, that is as good or better than AWS. It'd be an interesting thing for us to do a survey on. But if you think about security at the infrastructure layer down is what we take care of. >>Now when you build your application, you can build a secure app or non-secure app. So the customer has some responsibility there. But in terms of that cloud infrastructure, um, for a vast majority of our customers, they're getting a pretty substantial upgrade in their security. And here's something to think about is that, um, we run a multitenant service, so we have lots and lots of customers sharing that infrastructure and we get feedback from some of the most security conscious companies in the world and government agencies. So when our customers are giving us a enhancement request, and let's say it is, uh, an oil company like shell or financial services company like NASDAQ, and we implement that improvement because there's always new requirements. We implement that all of our hundreds of thousands of customers get those improvements. So it's very hard for a lot of companies to match that internally, to stay up to speed with all the latest, um, requirements that people need. >>Yeah. Okay. So, uh, and you touched on this as well as the compliance piece of it, but when you think of things like, like HIPAA compliance for example, I think a lot of people don't realize that you guys are a lead in that regard. Can you talk about that a little bit more? Yeah. So, uh, we have a lot of customers running HIPAA compliant, uh, workloads. Um, there's, there's one company or the, the Schumacher group, which does emergency room staffing out of Lafayette, Louisiana. And we, companies like that are going through the process. They have to follow their internal compliance guidelines for implementing a HIPAA compliant plan app. It's actually, it's more about how you implement and manage the application than the infrastructure, which is part of it. But we, we satisfy that for our customers. Let's talk a little bit about SLA. That didn't come up at least today in Andy's keynote, but it didn't reinvent and he made a statement at reinvent. >>He said, we've never lost a piece of business because of SLS. And that caught my attention and I said, okay, interesting. Um, talk about, uh, the criticisms of the SLA. So a lot of people say, wow, SLA, not just of Amazon's cloud, but any public cloud. I mean, SLA is a really a, in essence, a, an indication of the risk that you're able to take and willing to take. What are your customers tell you about SLS? The first thing is we don't hear a lot of questions about SLS from our customers. Some customers, it's very important that we have SLA is for most of our services, but what they're usually judging us on is the operational track record that we provide and doing testing and seeing how we operate and how we perform. Uh, and, uh, we had an analyst from IDC recently do a survey of a bunch of our customers and they found that on average the average app that runs on AWS had 80% less downtime than similar apps that are running on premises. >>So we have a lot of anecdotal evidence to suggest that our customers are seeing a reliability improvement by migrating their apps to AWS. You're saying don't judge us on the paper, judge us on our actual activities in production and in the field. Typically what most of our customers are asking for is they want to dig into the actual operational features and, and a track record. Now the other thing I want to address is the so called, you know, uh, uh, exit tax, right? It's no charge to get my data in there. I keep my data in there. You, you, you charged me for storing it for exercise and compute activity, but it's expensive to get it out. Um, how do you address that criticism? Well, our pricing is different for every service and we really model it around our customers to both really to really satisfy a broad set of use cases. >>So one example I think you may be talking about is I would Amazon glacier archive service, which is one penny per gigabyte per month. And for an archive service, we figured that most people want to keep their data in there for a long period of time so that we want to make it as cheap as possible for people to put it in. And if you actually needed to pull it out, the reason is because you may have had some disaster or you accidentally deleted something and that you are going to be, uh, you're going to be retrieving data on a far less frequent basis. So on an overall basis for most customers it makes sense that we could have done is made the retrieval costs lower and then made the storage costs higher. But the feedback we got from customers is, you know, archiving a majority of customers may never even retrieve that data at all. >>So it ended up being cheaper for a vast majority of our customers. I mean that's the point of glacier. If you put it there, you kind of hope you never have to go back and get it. Um, the other thing I wanted to ask you about is some of the innovations that we've seen lately in the industry, like a red shift, right? The data warehouse, you mentioned glacier. It was interesting. Andy said that glacier is the fastest growing service in terms of customers. Red shift was the fastest growing service, I guess overall at NAWS. So Redshift is an interesting move for you guys. Uh, that whole big data and analytics space. What if you could talk about that a little bit? If you talk to it, executives in the enterprise and even startups now, they have to analyze lots of data. Building a big data warehouse is, is one of the best examples of how much the pain of hardware and software infrastructure gets in the way of people. >>And there's also a gatekeeping aspect to it. If you're working in a big company and you want to run, you have a question and a hypothesis, you want to run queries against terabytes and petabytes of data, you pretty often have to go and ask for permission. Can I borrow some time from the data warehouse? No, no, no, no. You're not as important. Well, what are customers going to go, Hey, I'm going to go load the data, load a petabyte of data, run a bunch of analysis, and shut it down and only pay for a few hours. So it's not just about making a cheaper, it's about making use of technology possible where it was just not possible in feasible and cost prohibited before. Yeah, so that's an important point. I mean, it's not, it's not just about sort of moving workloads to the cloud, you know, the old saying a my mess for less. >>It's about enabling new business processes and new procedures and deeper business integration. Um, can you talk about that a little bit more? Add a little color to that notion of adding value beyond just moving workloads out of, you know, on premise into the cloud to cut costs, cut op ex, but enabling new business capabilities. When you remove the infrastructure burden between your ideas and what you want to do, you enable new things to be possible. I think innovation is a big aspect of this where if you think about if you reduce the cost of failure for technology projects so much that approaches zero, you change the whole risk taking culture in a company and more people can try out new ideas and companies can Greenlight more ideas because if they fail it doesn't cost you that much. You haven't built up all this infrastructure. So if you have more ideas that are, that are cultivated, you end up with more innovation. >>Whereas before people are too afraid to try new things. So I'm a reader of of Jeffrey's a annual letters. I mean I think they're great. They're Warren buffet like in that regard. One of the exact emphasizes, you know this year was the customer focus. You guys are a customer focused organization, not a competitive focused organization. And again, you got to recognize that both models can work, right? Can you talk about that a little bit? Just the church of the culture. Yeah, I mean when, you know, starts out with how we build our products. Anyone who has a new idea for a product, first thing they got to do is write the press release. So what our customers are going to see is it valuable to them. And then we get come get products out quickly and then we iterate with customers. We don't spend five years building the first version of something. >>We get it out quickly. Uh, sort of the, the, the lean startup, if you heard of the minimum viable product approach, get it out there and get feedback from customers. Uh, and iterate. We don't spend a lot of time looking at what our competitors are doing cause they're not the ones that pay our bill. They're not the ones that can hire and fire us. It's the customers. So I'm you've seen this thing come, you know, quite a ways. I mean, you were at Salesforce, right? Um, which I guess started at all in 99. You could sell that, look at that as the modern cloud sort of movement was, wasn't called cloud. And then you guys in 2006 actually announced what we now know is, you know, the cloud, where are we in terms of, you know, the cloud, you know, what ending is it? To use the sports analogy, I don't know what ending is it, but you know, it's an amazing time where there's such a massive amount of momentum of adoption of the cloud from every type of company, every type of government agency. >>But yet still, when you look at the percentage of it spend or you go talk to a large company and you say, even with all these projects, what percentage of your total projects, there's still tremendous growth ahead of us. Yeah. So, um, there's always that conversation about the pie charts. 70% of our, our effort is spent on keeping the lights on. 30% is spent on, on innovation. And I don't know where that number came from but, but I think generally anecdotally it feels about right. Um, talk about that shift. Yeah. Well I mean your customer base, you talk to any CIO, they don't like the idea of having 80% of their staff and budget being focused on keeping the lights on and the infrastructure would they like to do is to really shift the mix of what people are working on within their organization. It's not about getting rid of it, it's about giving it tools so that every ounce of effort they're doing is geared towards delivering things to the business. >>And that, that, that's what gets CIO is excited about the cloud is really shifting that and having a majority of their people building and iterating with their end users and with their customers. So we talked about the competition a little bit. I want to ask you a question in general, general terms, you guys have laid out sort of the playbook and there's a lot more coming. We know that, uh, but you know this industry quite well. You know, it's very competitive. People S people see what leaders are doing and they all sort of go after it. Why do you feel confident that AWS will be able to maintain its lead and Kennedy even extend its lead in why? Well, there's a couple things that we sort of suggest for customers to look at. I think first of all is the track record and experience of when you're looking at a cloud provider, have they been in this business for a long time? >>Do they have a services mentality where they've had customers trust them for their, for applications that really they trust their business on? Um, and then I think secondly, is there a commitment to innovation? Is there a pace of new features and new technologies as requirements change? And I think the other, the other piece that our customers really give us a lot of feedback on is that they can count on us Lauren prices, they can count on a real partnership as we get better at this and we're always learning as we get better and we reduce our cost structure, they're going to get to benefit and lower their costs as well. So I think those are kind of big things. The other thing is, is the customer ecosystem I think is a big part of it where, um, you know, this is technology. Uh, people need advice, they need, uh, best practices. >>They often need help. And I'm in a kind of analogy I make is if I have a problem with my phone, with my iPhone, I can probably close my eyes and throw it, I'm going to hit someone who also has an iPhone. I can ask them for help. Well, if you're a startup in San Francisco or London or if you're an enterprise in New York or Sydney, odds are that your colleagues, if they're doing cloud, they're doing it with AWS and you have a lot of people to help you out. A lot of people to share best practices with. And that's a subtle but important point is as, as industry participants begin to aggregate within your cloud, there's a data angle there, right? Because there's data that potentially those organizations could share if they so choose to a, that is a, that is a value. And as you say, the best practice sharing as well. >>I have two last questions for you. Sure. First is, is what gets you excited in this whole field? I think it's like seeing what customers are doing. I mean, that's the cool thing about, uh, offering cloud infrastructure is that anything is possible. Like we met Ryan, uh, who spoke from atomic fiction. These guys are the world's first digital effects agency that's 100% in the cloud. And to see that they made a movie and all the effects like the Robertson mech, his flight film without owning a single server, um, it's just, it's amazing. And to see what these guys can do, how happy they are to have a group of 30, 40 artists that, um, can say yes when the director says I want it to do differently. I want to add, go from 150 to 300 shots and to see how happy and excited they are. >>I mean that, that's what motivates me. Yeah. Okay. And then my last question, Ariel, is, um, you know, what keeps you up at night? What worries you? Well, I think, you know, the most important thing that we can't forget is to really keep our fingers on the pulse of the customers and what they want, and also helping them to figure out what they want next. Because if we don't keep moving, then we're not going to keep pace with what the customers want to use the cloud for. All right, Ariel Kelman thanks very much. Congratulations on the Mason's progress and we'll be watching and, and really appreciate, again, you having us here. Appreciate your time coming on. Good luck with the rest of the tour. I hope you don't have to do every city. It sounds like you don't, but, uh, but if it sounds like you've enjoyed them, so, uh, congratulations again. Great. All right. This is Dave Milan to keep it right there. This is the cube. We'll be back with our next guest right after this word.

okay we're back live here at the OpenStack summit in Portland Oregon I'm John furry the founder SiliconANGLE comment rose mykos Dave a latte from Wikibon org this is silicon angles the cube our flagship program we go out to the events and extract the signal from the noise and certainly here OpenStack there's not a lot of noise but a lot of signal a lot of developers a lot of use cases really really the Alpha geeks the practitioner is really putting new technology into place to power this modern era of computing cloud mobile and social David Floria we're here with Demetri stilly at us from nudge networks and mountain view welcome to the cube thank you David I want to get your take on this before we set up this interview because honestly we've heard from right scale there in the management side just previous we've had Rackspace on earlier there on the Omni on the provider side we had big switch-on software-defined networking and now Dimitri's company the software is eating the world what's your take on the SDN market right now relative to OpenStack relative to open saying well what you're clearly wanting to do in every part of it is separate out all of the different layers and you ought to be able to separate out the physical and the the logical and the the software is the way that that's going to be done so instead of having to have a switch which is a piece of hardware and the software you want to separate the two out so that you have the logical function and the physical function from from the two pieces so that's very important to be able to contribute to every layer take new technologies along with you and then define the software element of that as the piece that you keep constant as technologies themselves adjust so durable code we walk manageable and build on and we clean can take advantage of new technologies as they come along and obviously I coming back to you what are you contributing what I think needs to be contributing was the white space in that area that you're going after right so see when people started thinking about the cloud and OpenStack and to always kind of think they they quickly realize that the network is a fundamental piece right you have to start with the network you have to interconnect your components and so on the angle that we are taking is yes it's good with in your data center within your cloud you have to create this network services interconnect applications and so on but much more importantly you need to be able to dynamically connect these applications with your existing network services right so you have a large amount of enterprise VPN services you have hybrid clouds coming out so you need to be able the moment you activate a network service in the data center to be able to seamlessly interconnect this now with your enterprise side with other network services in other data centers in other clouds and so on right so the network is always a network of networks and we have to bring everything together we cannot just restrict ourselves with is the confinements of a single administrative model so that's that's a fundamental part of what we are trying to to bring here together okay and so how are you fitting in with the the network layer right so our view is say that first of all we need to talk both both languages if you don't think of it as a as a translation thing right so we need to understand the language of the cloud we need to understand the language of the application developers in the cloud they want to use some abstract mechanism to define their network services and install them if you want in the hypervisors and OpenStack quantum seems to be the prevalent way to do that so that's language number one but then we have all these thousands of networks out there where their language is bgp so what we are doing is we are marrying the two we allow you to codon define services in OpenStack and we allow you to define the mekinese between interconnect the service is automatically with all the other networks that are out there right so I call it sometimes we are just translating between languages all right a language translator live from an application point of view they want to consume resources and previously networks and the computers were the main things they consumed but it seems now that sorry computing and storage with the main things they consumed but it now it seems that networks themselves have to pay a much bigger role in providing a quality of service to those places Rick you've got a quality of service down in the nano seconds when you get to the server level and used to have milliseconds for the for the storage side it's now coming down to micro second what are you doing to make sure that that quality of service no it is not just the bandwidth but it's also the latency are you planning to marry that see the weight datacenter networks of all these people are quickly realizing that the same if you want principles that we used in order to build the Internet itself can be used inside the data center so if you think about the internet right in the internet there is voice services that is video services there is all these other services running and they are actually running by assuming you have a well-engineered IP network and then you run the service is at the edges if you want all that you push all the intelligence at the edges it's the same thing where the network on the data center is going the data center network becomes a very scalable IP fabric it it is very well managed if you want very well traffic engineer and you push the edges at the hypervisors you push essentially the services at the hypervisors where traffic is differentiated so if you see for example a tenant misbehaving you are going to block him at the hypervisor layer if you're going to provide us or map different tenants to different classes of traffic it's happening at the hypervisor so the center of the network behaves like a scalable IP fabric and all the intelligence it's pushed around the edges and the reason you want to do that is because this allows you the ultimate scalability right the network or doesn't need to know about every flow that goes into the through through the corner of the network there right you don't need to know the IP addresses of virtual machines you don't need to know what individual virtual machines no need to know I want to do there you just need to worry about aggregates so you can engineer and scale the core make it very cheap and because you make it very tip you can increase the capacity at the core and you can say distribute all the intelligence at the edges of the network right but so you said that you can do the hypervisor and that's obviously on the compute side that side of it but what about the data network isn't that a don't you need to regulate the priorities and flex all the data through and isn't that today that's that's a very big part of it yes but it is still happening at the hypervisor right the the first touch of it enough an application with a network it is not anymore the top of rack sheets let's say on the data center but it does it is actually the hypervisor virtual sheets right that's the first time that you see a packet when a packet comes out of a virtual machine the first time you see it is at the hypervisor itself and at this layer when the first time you see the bucket of the hypervisor itself is where you apply all your policies right in other words the edge of the network is not the hardware is not the switch on the top of rack the edge of the network is inside the server now ok yeah ok excellent so I want to ask you we have a couple minutes left here I wanted we have two minutes less I want to get your perspective on the state of the business around OpenStack what is your view ok because your chief architects you're looking at the tech yes and you but you have to intersect the business objectives what are you seeing as the core business drivers that are that are causing you to make your technology in a certain way right so it's clear that what people want to do is they they want to provide this ability to their end users to consume services rapidly right that is what is driving this call OpenStack development and more important the community came together in order to unify view on the core engine and the core AP is in order to make this consumption of services very easy and in order to allow the application developers to move from one cloud to the other and so on right what we do is what we try to do is in addition is expanding view on this model amazing the network as consumable as the storage and compute facilities right and I'm not talking just about the network in the data center I'm talking about also the network in the way that the service in the data center of a cloud provider will interconnect with the enterprise read if you see then the next if you want Holy Grail that everybody is talking about is the hybrid cloud the hybrid cloud is only possible if you can connect the network and the services in the service provider cloud with a network and services in the in the in the enterprise itself right so they what links the two together is the network so we have to make this network to be consumable final question for you is actually DevOps is a mindset we heard from right scale that that adoption is in mainstream enterprises and service providers but the word infrastructure as code is becoming more popular outside of the the geeks and the album the architects the coders what in your mind how would you describe infrastructure as code to the folks out there give it a try it's okay no right answer it's a moving target that's what it is realities it's that the applications and code is a living organization it's constantly changing and you cannot assume at any point it's static right it's not there it's not the good old days if you want and that's what it really means right it's a living organism it it will constantly adapt to the new to the new requirements out there like switches in the old days you knew exactly ports and you you knew i was going now it's all kinds of weird stuff happening right it's all stuff you you have to be you you have to accept change if you want right so it's the actually there is a there is an okay Isaac Asimov code right there another the author of the science fiction yes that's the only constant is change yeah we should be no project just on the network genome here Software Defined Networking Dmitry stylianos thanks for jumping inside the cube again you're here like with a lot of the chief architects making things happen congratulations thanks for joining us thank you we'll be right back with more analysis from David's lawyer after the at break on a breakdown day 1 and day chu here in more depth from the analysts here at opens Dec 2 SiliconANGLE Gibbons exclusive coverage of OpenStack summit be right back

(energetic techno) >> Hey, welcome back everybody, Jeff Frick here with the cube. We're at the RSA conference in downtown San Francisco, Moscone Center. 40 thousand people talking about security, especially with things like IoT, and 5G coming, just right around the corner, so it's important, and we're excited to be joined by industry veteran, George Gerchow. He's VP Security and Compliances at Sumo Logic. George, welcome. >> Thanks, great to be here! Having a fantastic show so far, so thank you. >> So it's funny, before you came on, you knew our last guest, and he even commented. (George laughs) He has a big role, there's 40 thousand people, but this is like, all the world's security experts at one building. >> They're all right here, right now. So if you wanted to plan a massive terrorist attack? >> Don't say that! >> (laughs) We'll be right here, right now! >> Well, and they have a lot of security, it's funny you're laughing, but there's guard dogs, and I got my bag checked a bunch of times. I guess it makes sense. >> (laughs) It absolutely makes sense, but yes, everyone's here, all the who's who, and it was great to see Tom before me. >> And the uh, and the challenges just keep continuing right? With IoT, it's coming right around the corner. Connected devices, sensors. It's funny, in your goodie bag here at RSA, they even give you a little, the little thing to hide the camera on your, on your laptop, right? >> Yeah, they really do, I mean, everything's connected, right? I mean, there is no more hard-shell, soft-center perimeter to security anymore, it's all out there. It's a hostile world, and uh, you just got to do your best to protect yourself. >> Alright, well, hopefully you guys are all staying on the light side, and don't go to the dark side. >> (laughs) Yeah, absolutely. >> So we were talking a lot about threats, and threat intelligence. >> Yeah. >> Can you give us a kind of an update on what you're working on, you know, kind of what your top-of-the-mind of this area? >> Yeah, yeah, absolutely. And so you know, at Sumo Logic, we have a security analytics platform, built that scale, multi-tenant, in the cloud, native-born. Part of my job responsibility is to secure that platform. But one of the things that we were missing, quite honestly, was threat intelligence feeds coming into that platform to be able to do deeper forensics on malicious IPs, indicators of compromise around URLs and domain names, so now we're offering to our customers integrated threat intelligence, intersecurity analytics, for free, (chuckles) and now it's here at RSA to be able to do deeper forensics around some of those indicators of compromise and the bad guys that you were talking about. >> (chuckles) So now that with the, with the security analytics, hopefully you guys can see things faster, you can pick up patterns quicker, you know, you can use real-time streaming things like Spark to actually get ahead of the curve instead of the, what we always hear, spend 250 days since you knew, (chuckles) that you were, uh, compromised. >> Yeah, you're exactly right, it's getting to the root cause much faster, you know? Because you have so many different things that focus on a security team. Like, my team alone is constantly getting things flagged up all the time that we may or may not want to pay attention to. But those things that are really critical, that needle in the haystack that you have to dive into that's a potential threat or vulnerability right away, we want to surface those up very very quickly. So we drink our own champagne, we're running it internally, and now we're offering it externally to our customers as well, too. >> And you just can't do that without machines and automation, right? It's just not possible to keep up with the volume of activity, and to find that needle within just a mass of things that you guys are keeping an eye on. >> You're exactly right. Especially being in the cloud, right? Think about the dynamic, you know, things are taking place, you know, IPs constantly changing. What's my system today might be your system tomorrow. >> Right. >> So having that, more real-time, deeper visibility, into what's taking place on those high threat items, that's even more critical once you're moving out to the cloud for sure. >> Right, and you guys have been involved in the AWS biz, I think we interviewed Sumo Logic like, AWS summit 2013. >> Yep, right. >> In this very building. >> Right! We're native-born, and AWS, >> There you go. >> So great memory! >> So how, so how does kind of the cloud impact, to just more of a general security point of view? People's expectations of behavior of their applications and their data? >> Oh my gosh. >> And it's just like, it's like the dial tone, right? It's almost like (mumbles). >> Right. >> It's just supposed to be there, flex up, flex down as ever I need it. Obviously you got to worry about keeping that real, keeping it safe. How has that impacted the way, uh, that customers expect security? >> Right, so, well, customers now, it's actually behaving a different way too. They're so scared, some of them, of "oh my gosh, my data is leaving beyond my control." but the reality is, I can use some of that scale, and some of those automated systems in the cloud to make the data more secure, once it moves out there. I can leverage the power of code to really lock down how that data is protected against both inside sources and external sources. So it's really, to us, it's been an advantage point. Being native-born, understanding how the cloud works and how to secure data in the cloud, and then now, sharing that with our customers, has really put us ahead of the curve. Like the industry's just now catching up to where we're at. You said 2013, we were here talking about cloud, and now here we are, right? >> Right, right. >> Where other people were like, we're never going to move our stuff out there. Well, guess what? >> Right. >> You're moving out there now. (chuckles) >> And you guys can leverage cloud yourself in terms of your own applications, right? To grow and scale, I mean. >> Absolutely. >> It was amazing, AWS reinvented the Tuesday Night with James Hamilton, which uh, >> Right, yes. >> You probably went through, it's like a rock-star show. But when he goes through the scale of the way, of the infrastructure that AWS can deploy because they have such mass scale, I mean to try to compete with that as an individual company? Pretty tough. >> It's not going to happen, you know? And it's the same thing with us, you know. So if you're really going to do security analytics at scale, well, it's about scale, multiple data sources. I want to be able to go from 10 terabytes to 20 terabytes overnight, and then start looking for the security threats. Well, that's what we do. We built our platform in the cloud to scale at that rate, but now we're just heavily focused on security content and solving problems as people start moving their workloads out to the cloud. We've been there for a while, so we're helping people. And look, we're learning like everyone else every day. Things change, as you've mentioned before. But we have a pretty good approach as to how we lock down our own environment, and we're just sharing it externally now. >> So the other big theme that we keep hearing over and over at the show is collaboration, and companies, kind of coop-petition, which is the Silicon Valley way, has always been, >> Absolutely, no question. >> You know, to share threat information with your, partners in the industry, to try to help get a leg up on the, on the bad guys. Have you seen that kind of collaboration. kind of environment, change over the last several years? >> I am so glad you brought that up, because it is an ecosystem. Like for us, we're taking the threat feeds from Crowdstrike, who's, you know, one of the leaders in the threat feed space. We're also partnering up with WinLogin at this show to really start locking down people's credentials when they come in. And then also great partners like Trend Micro. It takes an ecosystem, there is no silver bullet. There is no one company, one solution that solves a problem. It takes a collaboration of vendors and partners to really be able to get this done, and I feel it and live it internally. >> Right, right. Alright, I'm going to give you last word, George. >> Alright. >> So it's February. What are your top priorities for 2017? What are we going to be talking about a year from now at this show? >> Okay, so one of the top priorities for me is definitely the DDoS attacks in the cloud? You know, so people being able to launch a DDoS attack within AWS at AWS, and have an AWS eat itself. (both chuckle) Like, literally, this keeps me up at night, you know? So, that's one of my -- >> Where's Scott? >> Top priorities. >> Scott, did you hear that? (both laugh) >> Alright, it could happen, so anyway, that's one of the things I'm focused on right now. >> Alright, excellent. >> Sure. >> Well, I know you got to run to the booth, it's a busy show, >> Great show. >> I know you probably have meetings with 39,995 of these other people. (George laughs) He's George Gerchow, I'm Jeff Frick, you're watching The Cube. Thanks for watching. >> Thanks guys, 'preciate it, thanks Jeff. (energetic techno) (sedate synths)