[Thomas Hazel] - Hello, this is Thomas Hazel, founder CTO here at ChaosSearch. And tonight I'm going to demonstrate a new feature we are offering this quarter called JSON Flex. If you're familiar with JSON datasets, they're wonderful ways to represent information. You know, they're multidimensional, they have ability to set up arrays as attributes but those arrays are really problematic when you need to expand them or flatten them to do any type of elastic search or relational access, particularly when you're trying to do aggregations. And so the common process is to exclude those arrays or pick and choose that information. But with this new Chaos Flex capability, our system uniquely can index that data horizontally in a very small and efficient representation. And then with our Chaos Refinery, expand each attribute as you wish vertically, so you can do all the basic and natural constructs you would have done if you had, you know, a more straightforward, two dimensional, three dimensional type representation. So without further ado, I'mma get into this presentation of JSON Flex. Now, in this case, I've already set up the service to point to a particular S3 account that has CloudTrail data, one that is pretty problematic when it comes down to flattening data. And again, if you know CloudTrail, one row can become 10,000 as data gets flattened. So without further ado, let me jump right in. When you first log into the ChaosSearch service, you'll see a tab called 'Storage'. This is the S3 account, and I have variety of buckets. I have the refinery, it's a data refinery. This is where we create views or lenses into these index streams that you can do analysis that publishes it in elastic API as an index pattern or relational table in SQL Now a particular bucket I have here is a whole bunch of demonstration datasets that we have to show off our capabilities and our offering. In this bucket, I have CloudTrail data and I'm going to create what we call a 'object group'. An object group is a entry point, a filter of which files I want to index that data. Now, it can be statically there or a live streaming. These object groups had the ability to say, what type of data do you want to index on? Now through our wizard, you can type in, you know, prefix in this case, I want to type in CloudTrail, and you see here, I have a whole bunch of CloudTrail. I'mma choose one file to make it quick and easy. But this particular CloudTrail data will expand and we can show the capability of this horizontal to vertical expansion. So I walked through the wizard, as you can see here, we discovered JSON, it's a gzip file. Leave flattening unlimited 'cause we want to be able to expand infinitely. But this case, instead of doing default virtual, I'm going to horizontally represent this information. And this uniquely compresses the data in a way that can be stored efficiently on disc but then expanded in our data refinery on Pond Query or search requests. So I'mma create this object group. Now I'm going to call this, you know, 'JSON Flex test' and I could set up live indexing, SQS pops up but I'mma skip that and skip Retention and just create it. Once this object group is created, you kind of think of it as a virtual bucket, 'cause it does filter the data as you can see here. When I look at the view, I just see CloudTrail, but within the console, I can say start indexing. Now this is static data there could be a live stream and we set up workers to index this data. Whether it's one file, a million files or one terabyte, or one petabyte, we index the data. We discover all the schema, and as you see here, we discovered 104 columns. Now what's interesting is that we represent this expansion in a horizontal way. You know, if you know CloudTrail records zero, record one, record two. This can expand pretty dramatically if you fully flatten it but this case we horizontally representing it as the index. So when I go into the data refinery, I can create a view. Now, if you know the data refinery of ChaosSearch, you can bring multiple data streams together. You can do transformations virtually, you can do correlations, but in this case, I'm just going to take this one particular index stream, we call 'JSON Flex' and walk through a wizard, we try to simplify everything and select a particular attribute to expand. Now, again, we represent this in one row but if you had arrays and do all the permutations, it could go one to 100 to 10,000. We had one JSON audit that went from one row to 1 million rows. Now, clearly you don't want to create all those permutations, when you're tryna put into a database. With our unique index technology, you can do it virtually and sort horizontally. So let me just select 'Virtual' and walk through the wizard. Now, as I mentioned, we do all these different transformations changed schema, we're going to skip all that and select the order time, records event and say, 'create this'. I'm going to say, you know, 'JSON Flex View', I can set up caching, do a variety of things, I'm going to skip that. And once I create this, it's now available in the elastic API as an index pattern, as well as SQL via our Presto API dialect. And you can use Looker, Tableau, et cetera. But in this case, we go to this 'Analytics tab' and we built in the Kibana, open search tooling that is Apache Tonetto. And I click on discovery here and I'm going to select that particular view. Again, it looks like, oops, it looks like an index pattern, and I'mma choose, let's see here, let's choose 15 years from past and present and make sure I find where actually was timed. And what you'll see here is, you know, sure. It's just one particular data set has a variety of columns, but you see here is unlike that record zero, records one, now it's expanded. And so it has been expanded like a vertical flattening that you would traditionally do if you wanted to do anything that was an elastic or a relational construct, you know, that fit into a table format. Now the 'vantage of JSON Flex, you don't have that stored as a blob and use these proprietary JSON API's. You can use your native elastic API or your native SQL tooling to get access to it naturally without that expense of that explosion or without the complexity of ETLing it, and picking and choosing before you actually put into the database. That completes the demonstration of ChaosSearch new JSON Flex capability. If you're interested, come to ChaosSearch.io and set up a free trial. Thank you.

(upbeat music) >> Welcome to theCUBE and our Q3 AWS Startup Showcase. I'm Lisa Martin. I've got two guests here with me, Erez Berkner is back, the Co-Founder and CEO of Lumigo. Hey, Erez, good to see you. >> Hey, Lisa, great to be here again. >> And Kevin O'Neill, the CTO at Flex is here as well. Kevin, welcome. >> Hi, Lisa, nice to meet you. >> Likewise, we're going to give the audience an overview of Lumigo and Flex. Let's go ahead, Erez, and start with you. Talk to us about Lumigo, and I think you have a slide to pull up to walk us through? >> Yeah, I have a couple, so, great to be here again. And just as an overview, Lumigo is a serverless monitoring and debugging platform. Basically allowing the user, the developer to get an end-to-end view of every transaction in his cloud. It's basically distributed tracing that allows you from one hand to monitor, to see a visual representation of your transaction, but also allows you to drill down and debug the failure to get to the root cause. So essentially, once you have the visualization and if we'll move to the next slide, you can actually click and drill down and see all the relevant debug information like environment variables, duct rays, inputs, outputs, and so on and so forth. And by that, understanding the root cause. And sometimes those root causes of the problems are not just errors, they are latencies, they are hiccups. And for that, we can see on the next slide, where Lumigo allows you to see where do you spend your time? Where are the hiccups in your system? What's running in Paula to what in the same transaction, where you can optimize. And that's the essence of what Lumigo provides in a distributed environment and focusing on serverless. >> Got it, focusing on serverless, we'll dig into that in a second. Kevin, give us an overview of Flex. You're a customer of Lumigo? >> We are indeed. So Flex is a build smoothing platform. We help people pay their rent and other bills, in these times of uncertainty and cashflow, the first of the month for your rent, it's a big bill. Being able to split that up into multiple payments is a lot easier. And when we entered the market, you were looking at a place where people were using things like payday loans, which are just ridiculous, really hurting, hurt people in the longterm. So we want to come in with something that is a little more equitable, little fairer and help people who can well afford their rent. They just can't afford it on the first, right? And so we started with rent, and now we cover all the bills like utilities and things like that. >> What a great use case, and I can't even imagine, Kevin, in the last year and a half, how helpful that's been as the world has been so dynamic. So talk to me a little bit about what you were doing before Lumigo and we'll get into then why you went the serverless route. >> Right, so I came to Flex to help them out with some problems that we're having as our servers were scaling up. Obviously, when the business hit, it was really, it went from zero to 100 miles an hour so quickly. And so I came in to help sort out some of the growing issues. And so when I started looking at that, we were three developers and didn't want to spend time on ops, didn't want to spend time on all of the things that you have to do just to be in business, right? And it's really expensive in the technical space. If you get into something about Kubernetes or things like that, you spend a lot of time building that infrastructure, making sure, and that's really minimal value to your business. It's there for reliability, but it doesn't really focus in on the thing that is important to you. So we wanted to build something that minimized that, we talk about DevOps, we want it ops zero, right? So that's like DevOps is a really nice practice, but having people in that role, it seems like you're still doing ops, right? You still got people who are doing those things, and we want it to kind of eliminate that. So I had some experience with serverless before joining Flex. I thought we'll run up a few things and spike up a few things. When you come out of environments like Kubernetes or your more traditional AC to type infrastructure, you'd lose some things. And one of the big things you'd lose is platforms of visibility. So things like OpenTrace and Datadog, and things like that, that do these jobs of telling you what's going on in your infrastructure, you've got fairly complex infrastructure going on, lots of things happening. And so, we initially started with what was available on the platforms, right? So we started with your CloudWatch logs and New Relics, right? Which got us somewhere. But as soon as we started to get into more complex scenarios where we're talking across multiple hops, so through SQS and then through EventBridge and Dynamo, it was very difficult to be able to retrace a piece of information. And that's when we started looking around for solutions, we looked at big traditional pliers, the Datadogs, the New Relics and people like that. And then the serverless specific players, and we ended up landing on Lumigo, and I couldn't have been happier with the results, from day one, I was getting results. >> That's great, I want to talk about that too, especially as you say, we wanted to be able to focus on our core competencies and not spend time in resources that we didn't have in areas where we could actually outsource. So I want to go back to Erez, talk to me about some of the challenges that Kevin articulated, are those common across the board, across industries that Lumigo sees? >> Yeah, I think the main thing when we met Kevin main were about visibility and about ability to zoom out, see the bigger picture and when something actually fails or about to fail in production, being able to drill down to understand what happened, what is the root cause, and go ahead and fix it instead of going through different CloudWatch logs, and log groups and connecting the dots manually. And that's one of the most common challenges when enterprise, where software engineers are heading toward serverless, toward managed services. So, definitely we'll hear that it was many of our customers. >> So Kevin, talk about the infrastructure that you've set up with serverless and go through some of the main benefits that Flex is getting. >> Right, so look, the day one thing of course, is the number of people we need doing operations as we've grown is next to nothing, right? We are able to create in that, we all want this independence of execution, right? So as you scale, I think there's two ways really to scale a system, right? You can build a monolith and shot it, that works really, really well, right? You can just build something that just holds a ton of data and everything seems connected when you release it all in one place, or you build something that's a little more distributed and relies on asynchronous interactions effectively, like in everywhere but the edges, both of those things scale. The middle ground doesn't scale, right? That middle ground of synchronous systems talking to synchronous systems, at some point, your lightency is your sum of all the things you're talking to, right? So doing anything in a quick way is not possible. So when we started to look at things like, I'm sorry, so the other challenge is things like logging and understanding what's happening in your system. Logging is one of those things that you always don't have the thing logged that you're interested in, right? You put in whatever logging you like, but the thing you need will always be missing, which is why we've always taken a tracing approach, right? Why you want to use something like Lumigo or an OpenTrace, you don't sit there and say, "Hey, log this specifically," you log the information that's moving through the system. At that point, you can then look at what's happening specifically. So again, the biggest challenge for us is that we run 1500 landlords, right? We run 600 queues. There's a lot of information. We use an EventBridge, we use Dynamo, we use RDS, we've got information spread out. We moved stuff, but to third party vendors, we're talking out to say, two guys like Stripe and Co, and we're making calls out of those. And we want to understand when we've made those calls, what's the latency on those calls. And for a given interaction, it might touch 20 or 30 of those components. And so for us, the ability to say, "Hey, I want to know why this file to write down here." We need to actually look through everywhere, explain, and understand how it's complex, right? Where this piece of data that was wrong come from? And so, yeah, which is difficult in a distributed environment where your infrastructure is so much a part of somebody else's systems, you don't have direct access to assistance. You'd only got the side effects of the system. >> Right, so talk to me in that distributed environment, Kevin, how does Lumigo help to improve that? Especially as we're talking about payments and billing and sensitive financial information. >> Right, so in a couple of ways, the nice part about Lumigo is I really don't have to do much in order for it to just do its thing, right? This comes back to that philosophy of zero ops, right? Zero effort. I don't want to be concentrating on how I build my tracing infrastructure, right? I just want it to work. I want it to work out of the box when something happens, I want it to have happened. So Lumigo, when I looked at it, when I was looking at the platforms, the integration's so straightforward, the cost integration being straightforward is kind of useless, if it doesn't actually give you the information you want. And we had a challenge initially, which was, we use a lot of EventBridge, and of course, nothing tries to EventBridge until we got, I mentioned this to Erez and Co, and said, "Hey guys, we really need to try to EventBridge, and a little while later, we were tracing through EventBridge, which was fantastic. And because I would say 70% of our transactions evolve something that goes through EventBridge, the other thing there. We're also from an architectural standpoint, we're also what's known as an event source system. So we derive the state of the information from the things that have occurred rather than a current snapshot of what something looks like, right? So rather than you being Lisa with a particular phone number and particular email address stored in a database as a record, you are, Lisa changed the phone number, Lisa changed her email address. And then we take that sequence of things and create a current view of Lisa. So that also helps us with ordering, right? And at those lower levels, we can do a lot of our security. We can do a lot of our encryption, we can say that this particular piece of information, for example, a social security number is encrypted and never is available as plain text. And you need the keys to be able to unlock that particular piece of information. So we can do a lot of that, a lower level infrastructure, but that does generate a lot of movement of information. >> Right. >> And if you can't trace that movement of information, you're in a hurting place. >> So Erez, we just got a great testimonial from Kevin on how Lumigo's really fundamental to their environment and what they're able to deliver to customers, and also Kevin talked about, it sounds like some of the collaboration that went on to help get that EventBridge. Talk to me, Erez, about the collaborative partnership that you have with Flex. >> Yeah, so I think that it's more of a, I would say a philosophy of customers, the users come first. So this is what we're really trying to about. We always try to make sure there's an open communication with all of our customers and for us customer is a key and user's a key, not even a customer. And this is why we try to accommodate the different requests, specifically on this event, this was actually a while after AWS released the service and due to the partnership that we have with AWS, we were able to get this supported relatively fast and first to market supporting EventBridge, and connecting the dots around it. So that's one of the things that we really, really focused on. >> Kevin, back to you, how do you quantify the ROI of what Lumigo is delivering to Flex? >> That's a really good question. And Erez, and I've talked about this a few times, because the simple fact is if I add up the numbers, it costs me more to trace than it does to execute. But if I look at the slightly bigger picture, I also don't have op stuff, right? And I also have an ability to look at things very quickly. The service cost is nothing compared to what I would need if I was running my own tracing through OpenTrace with my own database, monitor the staff to support those things. But the management of those things, the configuration of those things, the multiple touchpoints I'd need for those things, they're not the simple thing. So, if you look at a raw cost, you go, oh man, that part is actually more than my execution costs at least certainly in the early days, but when I look at the entire cost of what it takes to watch manage and trace a system, it's a really easy song, right? And a lot of these things don't pay off until something goes wrong. Now we're heavy users of EventBridge. EventBridge has had two incidents in USA in the last six months, right? And we were able to say through our traffic, that was going through EventBridge, that the slowdown was occurring in EventBridge. In fact, we were saying that before was alerted in the IDR VUS dashboards, to say, "Hey, EventBridge is having problems," like we watch all their alerts, but we were saying an hour before leading into Titus saying, "Hey, there's something going wrong here." Right? Because we were seeing delays in the system. So things like that give you an opportunity to adjust, right? You can't do it. You're not going to be able to get everything off of EventBridge for that period. But at least I can talk to the business and say, "Hey, we're having an impact here, and this is what's going on. We don't think it's our systems, we think it's actually something external. We can see the tries, we see it going in, we see it coming out, it's a 20 minute delay." >> There's a huge amount of value in that, sorry, Kevin, in that visibility alone, as you said, and even maybe even some cost avoidance is there, if you're seeing something going wrong, you maybe can pivot and adjust as needed. But without that visibility, you don't have that. There's a lot of potential loss. >> Yeah, and it's one of those things that doesn't pay for itself until it pays for itself, right? It's like insurance, you don't need insurance until you need insurance. These sort of things, people look at these things and go, "Ah, what am I getting it from day to day?" And day to day, I'll use Lumigo, right? When I'm developing now, Lumigo is part of my development process, in that, I use it to make sure the information is flowing in the way I expect it to, right? Which wasn't what I expected to be able to do with it, right? It wasn't even a plan or anything I intended to use it for, but day to day now, when I buy something off, one of the checks I go through when I'm debugging or when I'm looking at a problem, especially distributed problem is what went through Lumigo. What happened here, here and here, and why did that happen in response to this? So, these things are, again, it's that insurance thing, you don't need it until you need it, and when you need it, you're so glad you've got it. >> Right, exactly. >> Actually it's already said, I have a question because, yeah, I think that it's clear on that part. And how did this, if it change the developer work in Flex, do you feel different on that part? >> I think it's down to individual developers, how they use the different tools, just like individual developers use different tools. I tend to, and a couple of people that I work closely with tend to use these tools in this way, probably where the more advanced users of serverless in general inside the organization. So we were more aware of these weird little things that occur and justly double-checks you want to do. But I feel like when I don't have something like Lumigo in place, it's very hard for me to understand, did everything happen? I can write my acceptance tests, but I want to make sure that, testing is a really fun art, right? And it's picking my cabinets nice and easy, and you can run all these formulas to do things, it's just not right, and there's just too many, especially in distributed space, too many cases where things look odd, things look strange, you've got weird edge cases. We get new timeouts in Dynamo. We hit the 100,000 limit in fresh hall on Dynamo, right? In production, that was really interesting because it meant we needed to do some additional things. >> Lisa: Kevin, oh, go ahead. >> Go ahead, no, go ahead, Lisa. >> I was just going to ask you, I'd love to get your perspective. It sounds like, you look at other technologies, there's been some clear benefits and differentiators that you saw, which is why you chose Lumigo, but it also sounds like there were some things that surprised you. So in your opinion, what are some of the key differentiators of Lumigo versus its competitors? >> So I guess I've been a partner with Lumigo for like eight months now, right? Which is a long time in the history of Flex, right? 'Cause we're just out of two and a half years old. So, when I did the initial evaluation, I was looking for the things. I'm lazy, so I wanted something that I could just drop in and it would just work, right? And get the information I wanted to ask. I wanted something that was giving me information consistently. So I try to figure these things out and hit them with some load. I wanted it to have coverage of the assistance that we use. We use Dynamo a lot. We use Lambros a lot, and I want it not just cursory coverage, how it's just another one of the 20,000 things that they do, I wanted something that was dedicated to it. That gave me information that was useful for me. And really the specialist serverless providers were the obvious choice there. When you looked at the more general providers, the Datadogs and New Relics, I think if you're in an environment that has a lot of other different types of systems running on, then maybe the specificity that you'd lose is worthwhile, right? There's trade off you can make, but we're in a highly serverless environment, so one of the specificity. When I looked at the vendors, Lumigo was the one that worked best straight out of the box for me, it gave me the information I wanted. It gave me the experience I wanted, and to be frank, they've reached out really quickly and had a chat about what were my specific problems, what I was thinking. And all of those things add up, a proactive vendor, just doing the things you wanted to do, and what became and has become a lasting partnership, and I don't say partnership lightly 'cause we've worked with a number of other vendors, right? For different things. But Lumigo, I have turned to these guys, 'cause these guys know serverless, right? So I've turned to these guys when I've gone, "Look, I am not sure what the best approach here is." You have trusted me about it, this is vendor, right? >> Right, but it sounds like it's very synergistic, collaborative trusted relationship. And to your point, not using the term partner lightly, I think arises, probably couldn't have been a better testimonial for Lumigo, its capabilities, and what you guys are able to do. So I'll give you, Erez the last word, just give the audience a little bit of an overview of the AWS partnership. >> Sure, so AWS has been a very strategic partner for Lumigo, and that means that, I would say the most critical part is a product, is a technology. And we are design partners with the serverless team. And that means that we work with AWS to make sure that before new services are released, they get our feedback on whether we can integrate easily or not, and making sure that on the launch date, we are able to be a launch partner for a lot of their services. And this strong partnership with R&D team is what's allowing Lumigo to support new services out of the box like Kevin mentioned. >> Excellent, gentlemen, thank you so much for joining me today, talking about, not just about Lumigo, but getting this great perspective of it through the CTO lens with Kevin, we appreciate your insights, your time, and what a great testimonial. >> Thank you very much, thank you, Kevin. >> Thanks, Lisa, thanks Erez. >> You're most welcome. For Erez Berkner and Kevin O'Neill, I'm Lisa Martin, you're watching the AWS Startup Showcase for Q3. (gentle music)

from New York it's the cube covering escape 19 okay welcome back to the cube coverage New York City for the inaugural multi-cloud conference the first one ever in the industry is called escape 2019 we're in New York so escapee from New York City from cloud that's the conversation all the thought leaders are here and executives people thinking about the next generation architecture and top tracks are all here if it's Wednesday who's the chief information security officer for Flextronics flex let's thank you for coming on love to have see so some because security seems to be there always a top conversation you got a very busy job I do yes you heard a lot of pressure all the time it's fun it's so fun for me so yeah as a Caesar and it's always like security stop in mind right of everyone out these days yeah and it's very sir one of the most interesting job I think most of the interesting for my trophies I learned so much about our business and they have insight into so many things that's actually really great you know one of the things I was just talking about on the kind of cube conversation was you know how date is really important part of it and how data backup and recovery was built on old thinking around you know data centers failing floods hurricanes electricity gets outages but the biggest disruption in business today is security security threats and so that's the cyber security pressure it's causing CISOs to to be mindful of the best architecture the best platform do we have the right tools so I wanna get your thoughts how are you thinking about that as an organization because you are you building in-house developers are you how you how are you organizing how are you gearing up to fight the battles that need to be fought so I am and I'm with the company so if Lex is a big manufacturing company right 26 billion so we have a lot of p2p business not consumer business which is I believe a different perspective of security versus actually like a consumer company facing so and I'm if in a security team for 15 years so we put it up like security operations and the orders kind of things really right we're old school I am what school learnt everything in that right but you a lot of IOT I mean you just really achieve oh yeah Industrial tea it's one of the topic but coming back to you you're right data is actually the center in Flour business data is getting more center right you collect data from the machine you collect data actually for the business actually to make more decisions right and could be predictive maintenance could be inventory management there could be a lot of things right you have to think about it so and the funny thing is I'm real I'm the seasonal for five years 15 years with the security team 20 years with the company so I rebuilt the team always like every three four years you like it's a kind of rebirth of the team we renew we add new skills right and cloud is one of the things which I think it's a fundamental change and the change is actually with it's actually on the development side what it means with that it's a security team has to move to serve the developers and the problem if the wood school was always like it's after sort so why I secured to such an issue because we had to do patching after we found vulnerabilities right and then old network is unsecure you need to wrap something around that like we did firewall so it was always an after sort now with the cloud it's changing because you have a lot of different things to do but basically we need to enable developers to be very quick and deploy their software very quickly so you know it is a fundamental change in the way you have to think the particular yeah and then that brings up the good question love to ask you because given you guys again not a consumer like Capital One yeah they don't challenge they got they weren't hacked Amazon actually the firewall was misconfigured an s3 bucket but that's a consumer company you have data though you're an industrial company got a lot of industrial IOT ransomware folks are targeting data yes and everyone's a target it's your surface area is large but you probably lock that down in the past so how are you thinking about all this new stuff so yeah I mean IOT it's I mean I would tease the problem as you said Industrial right it's not solved yet completely right because they still have to rethink a lot of the vendors providing this machinery which you've purchased for 25-30 years right this Silla wood school right sometimes like the one witness you can't upgrade or whatever such basic things they'd be lacking actually in terms of security there still has to be a shift in this you know not just in the industry but in a general thinking how you do that yes I have a big environment so we locked it down we use a lot of innovative technologies actually preventive measurements was also detected measuring and you need to create kind of mightily a concept where you actually start okay what is if this figures how we test it okay this face do we have other measurements where we can try to prevent measure stop those kind of things right but Wrentham is a big one there's other things as you know like hacking I mean they're kept in I was healing probably the capital one was an interesting money my I believe in that for the cloud its configuration issues right which I think it comes with cloud security it's about policy and configuration management right how you manage that and how you think about it but it's not it was not a nation gonna solve that I mean that's a open s3 bucket that's trivial I wasn't a big yes and no you look if you look at that it was a little bit more in detail so it was actually the back firewall was misconfigured which is a mod security running on a fresh air but the Miss configuration was actually a SS as server surgery force request issue which means like you tricked this firewall in giving you information you shouldn't give you so it was a little bit more granular as people think it was right just as free pocket configuration so it was a little bit more greener but I think that's the word the difficult comes about it which every security it's a complex problem right it's the many things you have - configuration error it was a configuration dumb as an s3 bucket no it was not rounded more sophisticated but not that sophisticated was it yellow what the change I would not sophisticated but something it's not easy to solve so you have to think about it but you're right it's still something exploit from a corner case it's still something you could have I mean I I'm careful to say you could have avoided yes you could because that's for sure but I know it's a complex environment right I'm not a human as humans involved and I know I don't know that eaters exactly we only know that once it's published right so it's very hard to to charge well let's bring some cloud security so let me ask you on multi-cloud this is a multi cloud conference what's your definition of multi-cloud how do you look at the multiple clouds for me more debris cloud is actually doesn't matter we had the good keynote where I said it's a bunch of service right that's how I see my two cloud it's a bunch of service could be my data centers in the public cloud data centers with different vendors that's what a cow is where I move my services should be actually independent from the public hybrid on-premise whatever it is right that's basically how I see it so it doesn't matter it's infrastructure on demand leverage it leverage it it could be say hey today I spin off this test server but you know what today it seems to be a cheaper all running on the Eva Lovelace versus CPC let's do it here next day next week we might do it somewhere else whatever you trigger whatever what is your requirements so you'd only look at that resource that like that how do you think about the cloud security then because the configurations compliance how do you how do you stay on top of that so that's an interesting thing because we a big enterprise but we as you said know consumer business so our problem is to find the right skill set to attract the right people to our company to do that right because this is our we have some cloud but it's not yet there's a journey we are trying to do as most of the enterprise so we're looking into startups managed services we say okay where are the gaps where we have to really have to outsource some of the things and gaps where we need to get information what's your advice to other CISOs out there that are in the b2b space of none other deal to consumer but I have to get serious that is now becoming more industrialized on the IOT side because you guys have been you know been there done that you have a big footprint on the IOT because you're history but as people get more facilities and they have more virtual offices more people working the edge is extending what's your advice to those CEOs who have to deal with this industrial and IOT edge I think you have to visibility is the key ingredient is first right if you don't know what you have it's very hard to understand what's the risk portfolios right so you need to find the right to set and don't believe you know what they have it's fantastic what you see when you use the right tool what this is everything is connected I mean basically even like I found like this coffee market I connect the devices right it's like like everyone just don't understand like it's kind of light poles get both wake multi-threaded processor what is that doing so there's I mean but visibility is a key ingredient so you have to understand and then you have to look into how you might take a terrace what is your risk about it right I mean if the coffee mug goes down I don't really care but if my testicles sound and I shut down the production I really care about that so you need to understand that risk and say how can i mitigating risk so while I got you here what's your final question what's your message to suppliers out there that all want to sell you something they want to sell you another tool you know an another tool you know I got a platform I got a tool you mean this here 750 which is existing now like the cybersecurity if you go to I say conferences unbelievable right it's like I want to sell you something you're the top dog I use shrinking suppliers down are you looking at some sort of standard API way to deal with them because you know you're obviously probably thinking about platforming and data visibility is critical what's your philosophy on how to support medieval suppliers so usually honestly the most time I really go in so for innovative technology we built in our company our so-called strategic partnership program were being it for startups and most of the time we engage we start of services or through other channels right but you get introduced and you review with a proof of concept of value the technology and we try to keep it like as a minimum value product very short time and say okay let's show what you can where your gaps are and can we get with you guys and come and get you but don't send me an email don't call me because I usually not react I have a job to do so that's most of the time where the disease were what comes all of the guys that hey I found another scissors tell me there's great technology you should look into that and what shows do you go to what events do you hang out and what are good events for you in this in the space RSA Red Hat black depth on are there certain events that you go to that you think are valuable I mean it's easily I go to the to the RSA Conference ership because actually it's very close to me as well yeah and being part being out of Santa C I recommend the b-sides actually I like the peace sign that these guys are great the pieces are great I think they are real value and then I try to a smaller circus I'd be a fun person around papers there's b-sides for folks watching is an alternative group of community industry participants they have kind of a b-side of a side like an album but it's essentially community event they do hackathons and variety of other cool things where people get together very unstructured kind of cool conference addition to bigger conferences I can't recommend desk yeah bitch thanks for coming on and sharing your insights there's pleasure there's a cube coverage here in New York City we're not escaping from the University escape conference the first multi-cloud conference in the industry we'll see how it goes if they're successful they might be back next year if not they won't be but I think multi-class here today what do you think okay great thanks for coming on I'm John Fourier thanks for watching

(upbeat music) >> Announcer: From New York, it's The Cube. Covering ESCAPE/19. (upbeat music) >> Welcome back to The Cube coverage New York City for the inaugural multi-cloud conference. The first one ever in the industry. It's called Escape 2019. We're in New York so escaping from New York, escaping from cloud, that's the conversation. All the thought leaders are here and executives. People thinking about the next generation architecture and talk tracks are all here. Fritz Wetschnig who's the Chief Information Security Officer for Flextronics. >> Flex, yes. >> Flex, thank you for coming on. Love to have CISOs on because security seems to be always the top conversation. You got a very busy job. >> I do yes. (laughing) >> You're under a lot of pressure all the time >> It's fun, it's still fun for me. So, yeah, a CISO, it's always like security's top in mind, right, of everyone now these days. But it's still one of the most interesting jobs. The most interesting for my job is, I learn so much about our business and to have insight into so many things that's actually really great. >> You know, one of the things I was just talking about on a Cube conversation was, you know, how data is a really important part of it and how data backup and recovery was built on old thinking around, you know, data centers failing, floods, hurricanes, electricity gets outages, but the biggest disruption in business today is security, security threats and so that's cybersecurity pressure is causing CISOs to be mindful of the best architecture the best platform. Do we have the right tools? So I want to get your thoughts. How are you thinking about that as an organization, because are you building in-house developers? Are you, how are you organizing, how are you gearing up to fight the battles that need to be fought? >> So, I am with the company, So Flex is a big manufacturing company, right. 26 billion, so we have a lot of P2P business not consumer business, which is I believe a different perspective of security versus actually like a consumer company facing, so and I'm in a security team for 15 years, so we built it up like security operations and all those kind of things we do, right. >> You're old school. >> I am old school learned everything and that, right? >> But you're lot are IOT, I mean, you're Industrial IOT. >> Oh yeah, Industrial IOT it's one of the topics but coming back to you, you're right, data is actually the center even for our business, data is getting more and more center, right. You collect data from the machine, you collect data actually for the business actually to do make more decisions, right. And it could be predictive maintenance, could be inventory management. There could be a lot of things, right. You have to think about it. So, and the funny thing is, I'm real, I'm the CISO now for 5 years, 15 years with the security team, 20 years with the company, So I rebuilt the team always like every three, four years like as a kind of rebirth of the team. We renew, we add new skills, right. And cloud is one of the things, which I think it's a fundamental change and the change is actually, it's actually on the development side. What it means with that is the security team has to move to serve the developers. And the problem with the old school was always like it's afterthought. So why is security such an issue? Because we had to do patching after we found vulnerabilities, right. And then old network is not secure you need to wrap something around it like we did firewalls. So it was always an afterthought. Now with the cloud, it's changing because you have a lot of different things to do but basically we need to enable developers to be very quick and deploy their software very quickly, so I think it's a fundamental change in the way you have to think about security. >> And yeah, that brings up the good question I would love to ask you 'cause you've given, again you're not a consumer, like Capital One with in-house, they had their own channel, they weren't hacked. Amazon, actually the firewall was misconfigured, on an SV Bucket but that's a consumer company. You have data though, you're an industrial company, got a lot of industrial IOT. Ransomware folks are targeting data. >> Yes. >> And everyone's a target. Your service area is large. But you probably lock that down in the past. So how are you thinking about all this new stuff? >> So yeah, I mean, IOT it's, I mean, IOT's a problem, as you said, the industrial right. And it's not solved yet completely, right. Because they still have to rethink a lot of the vendors providing this machinery, which you purchase for twenty five, thirty years, right. They still are old school, right, sometimes, like, the one on Windows you can't upgrade or whatever. So it's basic things they're lacking actually in terms of security. There's still, has to be a shift in this, not just in industry but in a general thinking, how you do that. Yes, I have a big environment, so we locked it down, we use a lot of innovative technologies, actually preventive measurements plus also detective measurements. And you need to create kind of mightily a concept where you actually start, okay, what is if this fails? How we test it? Okay, this fails, do we have other measurements where we can try to prevent, stop those kind of things, right. But ransom is a big one. There's other things, as you know, like hacking, I mean, like Capitol One. >> Malware's a big problem. >> The Capital One was an interesting one in my belief and that's for the cloud is configuration issues, right, which I think it comes with cloud security. It's about policy and configuration management, right. How you manage that and how you think about it, but it's not, it's was not that. >> Automation could have solve that, I mean, that's an open S3 bucket, that's trivial. It wasn't a big, technical. >> Yes and no, if you look at that it was a little bit more in detail, >> Okay. >> So it was actually, their back firewall was misconfigured, which is about security running on a back check, but the misconfiguration was actually is, as (mumbles) force request issue, which means, like, you tricked this firewall into giving you information you shouldn't give information, right. >> John: Okay, so it was a little bit more. So, it was a little bit more granular as people think it was, right. Just as 3-pocket configuration. So it was a little bit more granular, but I think that's the really difficultly comes about whichever security. It's a complex program, right. It's mainly things you have. >> But it was a configuration error? >> It was a configuration. >> It wasn't as dumb as an S3 bucket. >> No, it wasn't dumb. >> But it was a bit more sophisticated, but not that sophisticated, was it? On a scale of 1 to 10. >> It was not sophisticated, but something, it's not easy to solve. So you have to think about it, but you're right, it's still something. >> John: It's an exploit from a corner case. >> Yeah, it's still something you could have. I mean, I'm careful to say you could have avoided it, yes you could, because that's for sure, but I know it's a complex environment, right. >> It's a human, there's humans involved. >> And I don't know the details exactly, we only know that what was published, right, so it's very hard to check. >> Well, it brings up cloud security, so let me ask you, on multi-cloud, this is a multi-cloud conference. What's your definition of multi-cloud? How do you look at the multiple-clouds? >> For me, multiple-cloud is, actually it doesn't matter. We had a good keynote words, it's a bunch of servers, right. That's how I see multi-cloud. It's a bunch of servers. Could be my data centers in a public cloud data centers with different vendors, that's what a cloud is. Where I move my services should be actually independent from the public hyper on premise, whatever it is, right. That's basically how I see it. >> So it doesn't matter, it's infrastructure. >> Yeah. >> On demand, leverage it. >> Leverage it, it could be say, hey today, I spin of this test server, but you know what, today it seems to be a bit cheaper running on (mumbles) verses GBC, let's do it here. Next day, next week we might do it somewhere else, whatever you trigger, whatever what is your requirements. >> So if going to look at that resource at like that, how do you think about the cloud security then, because the configurations, compliance, how do you, how do you stay on top of that? >> So, that's an interesting thing because we have begun to prioritize but we, as you said, no consumer business, so our problem is to find the right skill set, to attract the right people to our company to do that right because this is our, we have some cloud, but it's not yet, there's a journey we are trying to do, as most of the enterprise, so we're looking into startups, manage services, We say, okay what are gaps that we have to maybe have to outsource some of the things and gaps where we need to get internal source of supply. >> What's you're advice to other CISOs out there that are in the B2B space of don't have to deal with the consumer but have to get serious, that is now becoming more industrialized on the IOT side because you guys have been, you know, been there, done that, you have a big footprint on the IOT, 'cause you have a history. But as people get more facilities and they have more virtual offices, more people working, the edge is extending. What's your advice to those CISOs who have to deal with this industrial end IOT edge? >> I think you have to, visibility is the key ingredient is first, right. If you don't know what you have, it's very hard to understand what's a risk portfolio, right. So, you need to find the right toolset, and don't believe you know what you have. It's fantastic what you see when you use the right tool what distance everything is connected. I mean, basically even, like, I found like, this coffee mug, you know. I connect it to devices, right. It's like, not like everyone, not just that they don't understand my coffee mug is connected to (laughing). >> That light bulb's got multithreaded processor. What is that doing? >> So, so there's concerns, I may, but visibility is a key ingredient you have to understand. And then you have to look into how you mitigate a risk. What is a risk about it, right. I mean, if the government goes down, I don't really care, but if my testos goes down and does shut down the production, I really care about that. So you need to understand that the risk and say, how can I mitigate the risk? >> So while I got you here, what's you final question? What's your message to suppliers out there that all want to sell you something? Want to sell you another tool, you know. Want another tool? You know, I got a platform. I got a tool. Buy from me. >> You mean, to sell 750 watches (drowned out by laughter) If you go to ISA conferences, unbelievable, right. >> I want to sell you something. You're the top dog, I promise. >> Don't send me an email. >> Don't send them an email. Are you shrinking suppliers down? Are you looking at some kind of standard API way to deal with them? >> Yes. >> Because, you know, you're probably thinking about platforming, and date of visibility's critical. >> Yes. >> What's you philosophy on how to support video suppliers? >> So usually, honestly, the most time I really go it so for in the weight of technology we built in our company is called the Strategic Partnership Program where we can get for startups, and most of the time we engage, we startups overseas, or as through other channels, right. Where you get introduced, and you review, with the proof of work concept or value, the technology, and we try to keep it like a mini product, very short time, and say, okay, let's show what you can, where your gaps are, and can we get with you guys and can we get you. But don't send me an email, don't call me because I usually not react. I have a job to do. (laughing) >> Yeah, exactly. >> So that's most of the time, whatever we sees, what comes or if, a guy said hey, I found another CISOs tell me there's great technology, you should leap into that. >> And what shows do you go to? What events do you hang out in? What are good events for you in the space, RSA, Red Hat, Black Defcon? Are there certain events you go to that you think are valuable? >> I mean, as a CISO, I go to the RSA Conference, which I should because it's actually very close to me as well, and being part, being out of San Jose, I recommend the BSides, actually. I like the BSides. >> John: The BSides are great. >> The BSides are great. I think they are real, really. And then I try to smaller circles, right. We have our personal round tables. >> BSides for folks watching is an alternative group of community, industry participants, they have kind of a B-side, an A-side, like an album. But it's such a community event. They do hacker funds and a variety of other cool things where people get together, very unstructured kind of, cool conference, in addition to bigger conferences. >> I can recommend this. >> Yeah, awesome. Fritz, thanks for coming on and sharing your insights. >> Thanks. >> Been a pleasure. The Cube coverage in New York City, we're not escaping from New York but this is the Escape Conference, the first multi-cloud conference in the industry, we'll see how it goes. If they're successful, they might be back next year. If not, they won't be. But I think multi-cloud's going to stay. What do you think? >> I am think so too, yes. >> Okay, Fritz, thanks for coming on. I'm John Furrier, thanks for watching. (upbeat music)

>> Announcer: Live from Miami Beach, Florida, it's theCUBE. Covering VeeamON 2019. Brought to you by Veeam. >> Welcome back to the Fontainebleau, Miami, everybody. My name is Dave Vellante, I'm here with my co-host for this segment, Justin Warren. Justin it's great to see you. This is theCUBE, the leader in live tech coverage, day two of our coverage of VeeamON 2019 here in Miami. Jason Buffington, @Jbuff is here, he's the vice president of solution strategy congratulations on the promotion and great to see you again, my friend. >> Thank you very much. >> Dave: And Nathan Hughes who is the IT director at Flex-N-Gate. Great to see you, thanks for coming on. We love to get the customer's perspective, so welcome. >> Great to be here. >> Okay, so, Jason let me start with you. Former analyst, you've been at Veeam now for long enough to A, get promoted, but also, get the Kool-Aid injection, you're wearing the green, and, what are the big trends that you're seeing in the market that are really driving this next era, what do guys call it? Act two of data protection? >> Sure. So, I preached on this even before I joined Veeam that every 10 years or so, when the industry shifts the platform of choice, the data protection vendors almost always reset, right? The people that lead in NetWare don't lead in Windows. The people that lead in Windows didn't lead in Vert. The next wave is we're moving from servers to services. Right, we're going from on prem into cloud and so, and every time the problem is the secret sauce doesn't line up, right? So you got to reinvent yourself each time. And what we saw in the past generations, what we learned from, is, you can't be so busy taking care of your install base that you forget to keep innovating on what that next platform is and so for us, act two is all about cloud. We're going to take everything we know about reliability but we're moving into cloud. The difference is, that in virtualization there was one hero scenario. VMs, right? This time around it's IaaS, it's SaaS, it's PaaS, it's using cloud storage, it's BaaS and DRaaS, there's not a single hero scenario which means we have a lot more innovation to do. That's round two. >> And you made that point today, you used the Archimedes quote, give me a lever and a fulcrum and I'll change the world. You used the analogy of backup as now becoming much more than just backup, it's data protection, it's data management, we're going to get into that. And test some of that with Nathan. So, Nathan, tell us about Flex-N-Gate what does the company do and what does your role as IT director entail? >> Okay, so Flex-N-Gate is a tier one automotive supplier. Which means that we provide parts, most of the things that go into a car besides electronics and glass, to the final automotive makers. So most of the companies that you're familiar with when you go to buy one. >> Okay, so you guys are global, I think you've got what, 24,000 associates worldwide, 64 locations. So what're some of the things that are, fundamental drivers of your business, that are rippling through to your IT strategy? >> Well, our business is varied in the sense that we do a lot of different things in house so, we do, obviously, manufacturing, that's a big part of what we do. And then, even that is broken down into different kinds and then beyond manufacturing we have advanced product development and engineering so we do a lot of that in house. >> Dave: You support it all? >> Yes. >> So you've got diverse lines of business, you've got different roles and personas, you know, engineers versus business people versus finance people. And you got to make 'em all happy. >> We've got to make 'em all happy. >> So, one of the things I love about manufacturing examples, is if you think about it it's the two extremes of high tech and low tech, right? On the low tech side of things you've got this manufacturing floor and it's just producing real stuff, not the zeros and ones that we live with, but real things come off this line. And then you have the engineering and R and D side. Where they're absolutely focused on stuff that comes out of some engineer's head into a computer, which is truly unique data, so, one of the things I love about the story is, talk about the downtime challenges you have around the manufacturing floor. Because I learned some things when we first met, that I think is phenomenal when it comes to manufacturing things that I didn't realize. >> Sure. So, we have a lot of different kinds of manufacturing environments. Some of them are more passive and some of them are more active. The most active environments are, a form of manufacturing known as sequencing. And it's sort of where you bring final assembly of parts together right before they go to the customer. The way that customers order up parts these days, it's not like they used to back in the 70s and 80s. Where they would warehouse huge volumes of everything on their site and then just draw it down if they needed it. And you just kept the queue full. Now they want everything just in time delivery. So they basically want parts to come to the line right when they're needed and actually in the order they're needed. So, a final car maker, they're not necessarily making, 300 of the same thing in a row, they're going to make one of this in blue and one of that in red and they're all going to be sequenced behind each other, one right after the other on the assembly line. And they want the parts from the suppliers to come in the exact right order for that environment. So, the challenge with that from our perspective is that we have trucking windows that are between 30, maybe 60 minutes on the high end, and if anything goes badly, you can put the customer down. And now you're talking about stopping production at Ford, Chrysler, GM, whatever. And that's a lot of money and a lot of other suppliers impacted. >> Dave: So this is a data problem isn't it? >> Yeah, it definitely is. And it's an interesting point, 'cause, you talk about sequencing. Veeam has their own sequence about how customers use the product and they start with backup, everything starts with backup, and then they move further to the right so that you get, ideally, to fully automated data protection. So, what are you actually using Veeam for today? And where do you see yourself going with Veeam? >> So, right now, we're using Veeam primarily as backup and recovery. It's how we started with it. We came from another product that was, great conceptually, but in the real world it had terrible reliability and its performance was very poor as time went on and so, when Veeam came on the scene it was a breath of fresh air because we got to the place where we knew that what we had was dependable, it was reliable. We got to understand how the product worked and to improve the way that we'd implemented it. And so, one of the key features in Veeam that really actually excited us, especially in those sequencing environments are these instant recovery options, right? So, we were used to the idea of having to write down a VM out of snapshot storage. And then being put in a position where it might take an hour, two hours, three hours before you could get that thing back online now, or again, to be able to launch that right out of snapshot storage was a blessing in the industry we're in. >> Yeah, did you see the tech demo yesterday where they were showing off how you could do an instant recovery directly from cloud storage? >> Yes, yeah. >> Did that get you excited? >> Yes. That is exciting. >> Are you using cloud at the moment or is this something that you're looking to move towards? >> Cloud is something we're sort of investigating but it's not something that we're actively utilizing right now. >> So this instance recovery, you guys obviously make a big deal out of that, I was talking to Danny Allan yesterday offline about it. He claims it's unique in the industry. And I asked him a question, I said specifically, if you lose the catalog, can I actually get the data back? And he said yes. And I'm like, that sounds like magic. So, so I guess my question to maybe both of you is, instant, how instant? And how does it actually work? (he laughs) >> It just works, isn't that? >> It just works! >> It's just magic, new tagline? >> I guess we don't have to get into the weeds but when you say, when I hear instant recovery, we're talking like, (fingers clicking) instantaneous recovery with, very short RTOs? >> To us what that means is that in practice, we can expect to have a VM from snapshot data back into production in about a five minute window. >> Dave: Five minutes? Okay. >> And that is sufficient for our needs in any environment. >> Okay, so now we're talking RTO, right? And then, what about, so we said 64 sites across the world, 24,000 associates, is Veeam your enterprise wide data protection strategy or are you rolling it out now? Where are you at? >> Yes, no. Veeam, we started with it in a handful of key sites. And we were using it to specifically back up SharePoint and a few other platforms. But once we understood what the product was capable of, and we were sort of reaching the end of our rope with this former product, yeah, we began an active roll out and we've now had Veeam in our facilities for five, six years. >> So you swept the floor of that previous product. And how complicated was it for you to move from the legacy product to Veeam? >> It was a challenge just rethinking the way that we do things, the previous product, one thing that it really had going for it, if this could be considered a positive, I guess, is that it was very very simple to set up. So, you could take an entry level IT administrator and they just next, next, next, next, next. And it would do all the things that they needed it to do. But the problem was that in the real world, that was sort of the Achilles' Heel, because, it meant that it wasn't very well customized and it meant also that, the way that they've developed that product, it became performance, it had poor performance. >> So the reason I ask that question is because, so many times customers are stuck. And it's like they don't want to move, because it's a pain. But the longer they go, the more costly it is, down the road. So I'm always looking to IT practitioners like, advice that you would give in terms of others, things that you might do differently if you had a mulligan, I don't know, maybe you would've started sooner, or maybe there were some things that you'd do differently. What would you advise? >> Yeah, I mean, if we'd understood, the whole context of what was happening with that other product, we would've moved sooner. And the one thing that I will say about Veeam is, it's not click and point. It does involve a little more setup. But the Veeam team is excellent when it comes to support. So there's nothing to fear in that category because they stand behind their product and it's very easy to get qualified technicians to help you out. >> Is that by design? >> I don't know if it's. Well, the being great to work with, yes, that's by design. >> Yeah, but I mean. >> I was talking to Danny yesterday and asked about the interface thing. Because there is always that tension between making it really really simple to use but then it doesn't have any knobs to change when you need to. >> That's what I'm asking. >> But it can't be too complex either. >> Our gap actually comes a little bit later in the process, right? So, you asked earlier about, in what ways do you use Veeam? And we think about Veeam as a progression, right? So, everybody if they're using Veeam at all, they're using it for Veeam backup and replication and because foundationally, until you can protect your stuff, right? Until you can reliably do that, all the other stuff that you'd like to do around data management is aspirational and unattainable at best, right? So, we think the journey comes in at yeah, it is pretty easy, to go next, next, next, finish. Just a few tweaks, right? To get backup going. But then when you go beyond that, now there's a whole range of other things you can do, right? So Danny, I'm sure, talked about DataLabs yesterday. The orchestration engine, those are not, next, next, next, finish. But anything that's worthwhile takes a little bit of effort, right? So as we pivot from, now that you've solved backup, then you can do those other things and that's where we really start going back into something which is really more expertise driven. >> Well, and it's early days too and as you get more data and more experience you can begin to automate things. >> Yeah, absolutely. So Justin was asking, Nathan, where the direction is. Today it's really backup. You've seen the stages where, talking about full automation. Is that something that, is on the horizon, it is sort of near term, midterm, longterm? >> I mean, coming to the conference, our experience with backup, or Veeam, is primarily backup and recovery operations but, I've seen a lot of things in the last few days that have piqued my interest. Particularly when it comes to the cloud integration. That's being actively baked into the product now. And, some of the automated, API stuff, that's being built into the product. Any place where I can get to where we simplify our procedures for recovery, that's a plus. So I'm really excited about the idea of the virtual labs, being able to actively test backup on a regular basis without human intervention and have reporting out of that. Those are things that I don't see in any other product that's out there. >> You know, there's another piece of the innovation that we should think through, and, so we've talked about the sequencing side which is where we focus on RTO, how fast can you get back and running again? And when you and I talked earlier, the example that we worked on was think of a zipper, right? You've got the bumpers coming in to a line of cars and if either side slows down, everything breaks, and at the end, by the way, is the truck, right? And everything has to come at the same time at the same rate, if there's downtime on either side of the source, you're done. But that's an RTO problem. The engineering side, for high tech, is an RPO problem, right? You have unique stuff coming out of somebody's brain into a PC and it'll never come out that way again. And so, when we look at backup and replication, that should be the next pieces to go on. And then as you mentioned, DataLabs becomes really interesting and orchestration, so. >> Well speaking of human brains, and you kind of touched on it, Nathan, that you came here to learn some things and you've learned things from different sessions. So, what is it about coming to VeeamON that is worth the time for IT practitioners like yourself? >> I think it's all those, I mean we were talking about Veeam, doing backup and recovery operations, fairly straightforwardly, in terms of getting in, but once you see some of this stuff here at a conference like this, you get a better sense of all the more, elaborate aspects of the product. And, you wouldn't get that >> See the possibilities. >> I think, if you were just sitting in front of it using it conventionally, this is a good place to really learn the depth and the level that you can go with it. >> And you're like most of your peers here, is that right, highly virtualized, is that right? Lot of Microsoft apps. And, they say, mid-sized global organization, actually kind of bumping up into big. >> Nathan: Sure. >> Yeah, cool. I asked about the data problem before, it sounds like the zipper's coming together, that's some funky math that you got to figure out to make sure everything's there. So, talk about the data angle. How important data is to your organization, we know much data's growing, data's the new oil, all those promides but, what about your organization specifically as it relates to a digital strategy? It's a buzzword that we hear a lot but, does it have meaning for you, and what does it mean? >> Data is vital in any organization. I mean, we were referencing earlier, how you've got low tech in manufacturing, or at least people think of it as lower tech. And then high tech in R and D, and how those things merge together in a single company. But the reality is all of that is data driven, right? Even when you go to the shop floor, all your scheduling, all your automation equipment, all this stuff is talking and it's all laying down data. You're putting rivets in the parts, you're probably taking pictures of that now with imagers when you're in manufacturing. And you do that so that if you get 300 bad ones you can see exactly when that started and what happened at the machine level, right? So, >> That's a good one. >> We're just constantly collecting massive volumes of new data, and being able to store that reliably is everything. >> Well, and the reason I'm asking is you guys have been around for a while and your a highly distributed organization so, in the old days, even still today, you'd build, you'd get a server for an application, you'd harden that application, you'd secure that box and the application running on it, you'd lock the data inside and, my question is, can, the backup approach, the data protection approach, the data management, or whatever we want to call it, can it help solve that data silo problem? Is that part of the strategy or is it just too early for that? >> I'm, sorry, I'm going to get you to repeat that question in a slightly different way. >> Yeah so, am I correct that you've got data in silos from all the years and years and years of building up applications and-- >> I mean, we have-- >> And can you use something like Veeam to help unify that data model? >> Draw that all together? Yeah. I think a lot of that has, it's more on the hosting side, right? So it depends on how those systems were rolled out originally and all that kind of thing. But yeah, as we've moved towards Veeam, we've necessarily rebuilt some of those systems in such a way that they are more aggregated and that Veeam can pick them up in an integrated kind of way. >> You see that as a common theme? Veeam as one of the levers of the fulcrum to new data architecture? >> We're getting there, so here's the trick. So, first you got to solve for basic protection, right? But the next thing along the way to really get towards data management is you got to know what you got, right? You got to know what's actually in those zeros and ones. And so, some of the things that you've already seen from us are around what we do around GDPR compliance, some of the things we do around sanitization of data for DevOps scenarios and reuse scenarios. All of that opens up a box of, okay, now that the data is curated. Now that it's ingested into our system, what else can you do with it? You know, when I talk to C-level execs, what I tell them is, data protection, no matter who it comes from, including Veeam, is really expensive if the only thing you do is put that data in a box and wait for bad things to happen, right? Now the good news is, bad things are going to happen, so you're going to get ROI. But better is don't just leave your data in a box, right? Do other stuff with that data, unlock the value of it and some of that value comes in, now that I'm more aware of it, let's reduce some of the copies, let's reduce some of the compliance mandates. Let's only put data that has sovereignty requirements where it goes, but to do all of that, you got to know what you got. >> Go ahead, please. >> There was some impressive demo yesterday about exactly that, so, we have the data. You can use the API to script it and you can do all kinds of, basically, you're limited by your imagination. So it's going to be fascinating to see what customers do with it once they've put it in place, they've got their data protected. And then they start playing with things, come to a conference like this and learn, ooh, I might just give that a try on my data when I get back home. >> That's right. >> We'll give the customer the last word, Nathan. Impressions of VeeamON 2019? >> It's been great. And like I say, if you're a company that's been using Veeam even for a while, and you have your entry level setup for backup and recovery and I think there's a lot of, probably, companies out there that use Veeam in that kind of way, this is a great place to have a better understanding of all that's available to you in that product. And there's a lot more than just meets the eye. >> And it's fun, good food, fun people. Thanks you guys for coming on, really appreciate it. >> Yeah, thank you. >> Alright, keep it right there, buddy, we'll be back with our next guest, you're watching theCUBE, Dave Vellante, Justin Warren, and Peter Burris is also here. VeeamON 2019, we'll be right back. (electronic music)

>> Narrator: Live from Las Vegas, it's The Cube, covering AWS re:Invent 2017. Presented by AWS, Intel, and our ecosystem of partners. >> Bob: It's actually a little quieter here. >> Hey, welcome back to AWS re:Invent 2017. I am Lisa Martin. We're all very chatty. You can hear a lot of chatty folks behind us. This is day two of our continuing coverage. 42,000 people here, amazing. I'm Lisa Martin with my co-host Keith Townsend, and we're very excited to be joined by a Cube alumni Bob Muglia, CEO and President of Snowflake. >> Thank you. >> Lisa: Welcome back. >> Thank you, good to be back. >> And Kelly Mungary, the Director of Enterprise Data and Analytics from Lionsgate. A great use case from Snowflake. Thanks so much guys for joining us. So one of the hot things going on today at the event is your announcement Bob with AWS and Snowpipe. What is Snowpipe? How do customers get started with it? >> Great, well thanks. We're excited about Snowpipe. Snowpipe is a way of ingesting data into Snowflake in a streaming, continuous way. You simply can drop new data that's coming in into S3 and we'll ingest it for you automatically. Makes that super, super simple. Brings the data in continuously into your data warehouse, ensuring that you're always up to date and your analysts are getting the latest insights and the latest data. >> So, when you guys were founded, about five years ago, as the marketing says on your website, a complete data warehouse built for the Cloud. What was the opportunity back then? What did you see that was missing, and how has Snowflake evolved to really be a leader in this space? >> So you know, if you go back five years this was a time frame where no SQL was the big rage, and everybody was talking about how SQL was passe and it's something that you're not see in the future. Our founders had a different view, they had been working on true relational databases for almost 20 years, and they recognized the power of SQL and relational technology but they also saw that customers were experiencing significant limits with existing technology, and those limits really restricted what people could do. They saw in the Cloud and what Amazon had done the ability to build a all new database that takes advantage of the full elasticity and power of the Cloud to deliver whatever set of analytics capabilities that the business requires. However much data you want, however many queries simultaneously. Snowflake takes what you love about a relational database and removes all the limits, and allows you to operate in a very different way. And our founders had that vision five years ago, and really successfully executed on it. The product has worked beyond our dreams, and our customers, our response from our customers is what we get so excited about. >> So, the saying is "Data is the new oil". However, just as oil is really hard to drill for and find, finding the data to service up, to even put in a data lake to analyze has been a challenge. How did you guys go about identifying what data should even be streamed to Snowpipe? >> Well, yeah, that's a great question. I mean, in entertainment today, we're experiencing probably like in pretty much every type of business. A data explosion. We have, you know, streaming is big now. We have subscription data coming in, billing data, social media data, and on and on. And the thing is, it's not coming in a normal, regular format. It's coming in what we call a semi-structured, structured, json, xml. So, up until Snowflake came onto the scene with a truly Cloud based SAAS solution for data warehousing pretty much everyone was struggling to wrangle in all these data sets. Snowpipe is a great example of one of the avenues of bringing in these multiple data sets, merging them real time, and getting the analytics out to your business in an agile way that has never been seen before. >> So, can you talk a little bit about that experience? Kinda that day one up, you were taking these separate data sources, whether it's ERP solution, data from original content, merging that together and then being able to analyze that. What was that day one experience like? >> Well, you know, I gotta tell you, it evolves around a word, that word is "Yes", okay? And data architects and executives and leaders within pretty much every company are used to saying, "We'll get to that" and "We'll put it on the road map", "We could do that six months out", "Three months out". So what happened when I implemented Snowflake was I was just walking into meetings and going, "Yes". "You got it". "No worries, let's do it". >> Lisa: It liberated. >> Well, it's changes, it's not only liberating, it changes the individual's opportunities, the team's opportunities, the company's opportunities, and ultimately, revenue. So, I think it's just an amazing new way of approaching data warehousing. >> So Bob, can you talk a little bit about the partnership with AWS, and the power to bring that type of capability to customers? Data lakes are really hard to do that type of thing run a query against to get instant answers. Talk about the partnership with AWS to bring that type of capability. >> Well Amazon's been a fantastic partner of ours, and we really enjoy working with Amazon. We wind up working together with them to solve customer problems. Which is what I think is so fantastic. And with Snowflake, on top of Amazon, you can do what Kelly's saying. You can say yes, because all of a sudden you can now bring all of your data together in one place. Technology has limited, it's technology that has caused data to be in disparate silos. People don't want their data all scattered all over the place. It's all in these different places because limits to technology force people to do that. With the Cloud, and with what Amazon has done and with a product like Snowflake, you can bring all of that data together, and the thing that's interesting, where Kelly is going, is it can change the culture of a company, and the way people work. All of a sudden, data is not power. Data is available to everyone, and it's democratizing. Every person can work with data and help to bring the business forward. And it can really change the dynamics about the way people work. >> And Kelly, you just spoke at the multi-city Cloud Analytics Tour that Snowflake just did. You spoke in Santa Monica, one of my favorite places. You talked about a data driven culture. And we hear data driven in so many different conversations, but how did you actually go about facilitating a data driven culture. Who are some of the early adopters, and what business problems have you been able to solve by saying yes? >> Well, I can speak entertainment in general. I think that it's all about technology it's about talent, and it's about teaching. And with technology being the core of that. If we go back five years, six years, seven years, it was really hard to walk into a room, have an idea, a concept, around social media, around streaming data, around billing, around accounting. And to have an agile approach that you could bring together within a week or so forth. So what's happening is, now that we've implemented Snowflake on AWS and some of the other what I call dream tools on top of that. The dream stack, which includes Snowflake. It's more about integrating with the business. Now we can speak the same language with them. Now we can walk into a room and they're glad to see me now. And at the end of the day, it's new, it's all new. So, this is something that I say sometimes, in kidding, but it's actually true. It's as if Snowflake had a time traveler on staff that went forward in the future ten years to determine how things should be done in the big data space, and then came back and developed it. And that's how futuristic they are, but proven at the same time. And that allows us to cultivate that data driven culture within entertainment, because we have tools and we have the agile approach that the business is looking for. >> So, Kelly, I'm really interested, and I love the concept of making data available to everyone. That's been a theme of this conference from the keynote this morning, which is putting tools in builder's hands, and allowing builders to do what they do. >> Kelly: That's right. >> And we're always surprised at what users come back with. What's one of the biggest surprises from the use cases, now that you've enabled your users. >> Well, I'm gonna give you one that's based on AWS and Snowflake. A catch phrase you hear a lot of is "Data center of excellence", and a lot of us are trying to build out these data centers of excellence, but it's a little bit of an oxymoron to the fact that a data center of excellence is really about enabling your business and finding champions within marketing, within sales, within accounting, and giving them the ability to have self-service business intelligence, self-service data warehousing. The kinds of things that, again, we go back five, six years ago, you couldn't even have that conversation. I'll tell you today, I can walk into a room, and say, "Okay, who here is interested in learning "about data warehousing?". And there'll be somebody, "Okay, great". Within an hour, I'll have you being dangerous in terms of setting up, standing up, configuring and loading a data warehouse. That's unheard of, and it's all due to Snowflake and their new technology. >> I'd love to understand Bob, from your perspective. First of all, it sounds like you have a crystal ball according to Kelly, which is awesome. But second of all, collaboration, we talked about that earlier. Andy Jassy is very well known and very vocal about visiting customers every week. And I love their bottom, their backwards approach to, before building a product, to try to say, "What problem can we solve?". They're actually working with customers first. What are their requirements? Tell me a little bit Bob about the collaboration that Snowflake has with Lionsgate, or other customers. How are they helping to influence your crystal ball? >> You know what, this is where I think what Amazon has done, and Andy has done a fantastic job. There's so much to learn from them, and the customer centricity that Amazon has always had is something that we have really focused to bring into Snowflake, and really build deeply into our culture. I've sort of said many, many times, Snowflake is a value space company. Our values are important to us, they're prominent in our website. Our first value is we put our customer's first. What I'm most proud of is, every customer who has focused on deploying Snowflake, has successfully deployed Snowflake, and we learn from them. We engage with them. We partner with them. All of our customers are our partners. Kelly and Lionsgate are examples of customers that we learn from every day, and it's such a rewarding thing to hear what they want to do. You look at Snowpipe and what Snowpipe is, that came from customers, we learned that from customers. You look at so many features, so many details. It's iterative learning with customers. And what's interesting about that, it's listening to customers, but it's also understanding what they do. One of the things that's interesting about Snowflake is is that as a company we run Snowflake on Snowflake. All of our data is in Snowflake. All of our sales data, our financial data, our marketing data, our product support data, our engineering data. Every time a user runs a query, that query is logged in Snowflake and intrinsics about it are logged. So what's interesting is because it's all in one place, and it's all accessible, we can answer essentially any question, about what's been done. And then, driving the culture to do that is an important thing. One of the things I do find interesting is, even at Snowflake, even at this data centered company, even where everything is all centralized, I still find sometimes people don't reference it. And I'm constantly reinforcing that your intuition, you know, you're really smart, you're really intuitive, but you could be wrong. And if you can answer the question based on what's happened, what your customers are doing, because it's in the data, and you can get that answer quickly, it's a totally different world. And that's what you can do when you have a tool with the power of what Snowflake can deliver, is you could answer effectively any business question in just a matter of minutes, and that's transformative, it's transformative to the way people work, and that, to me, that's about what it means to build a data driven culture. Is to reinforce that the answer is inside what customers are doing. And so often, that is encapsulated in the data. >> Wow, your energy is incredible. We thank you so much Bob and Kelly for coming on and sharing your story. And I think a lot of our viewers are gonna learn some great lessons from both of you on collaboration on transformations. So thanks so much for stopping by. >> Yeah. >> Thank you so much, we really enjoyed it. Thanks a lot. >> Likewise, great to meet you. >> Thanks Kelly. >> Thank you. >> For my co-host Keith Townsend, and for Kelly and Bob, I am Lisa Martin. You've been watching The Cube, live on day two, continuing coverage at AWS re:Invent 2017. Stick around, we have great more guests coming up. (upbeat music)