>> Narrator: From the SiliconANGLE Media office in Boston, Massachusetts, it's theCUBE. Now, here's your host Stu Miniman. >> Hi, and welcome to a special presentation of CUBE Conversations here in our Boston area studio. Happy to welcome back to the program, it's been a little while, Brian Reagan who's the chief marketing officer at a local company, Actifio, we've been watching since the early days. Brian, so good to see you. >> Great to see you, Stu, thanks for having me in. >> All right, so Brian, you know, it comes as no surprise to you because you've worked on it in this industry for many years, but we've looked at our predictions at a Wikibon community. No matter which one of these big mega trends we're talking about, whether you're talking about machine learning, IOT, cloud, you know, data sits at the center of it and really is super critical. There's the old tried and true, "Data is the new oil," but bring us up to speed. You know, Actifio is a company that people probably started out as, you know, it's in this weird storage ecosystem today, but I think data's also at the center of your business. >> Absolutely, I mean, if you think just really simply about any business in the world, they have customers, they have partners, they have products, they have employees, all that's data and the problem with data these days is it just keeps getting big and when it's big it's slow. It's slow to use for application development, it's slow to use for insights and analytics. It's just slow to use if you want to move to the cloud. You know, Actifio has really been in business for nearly nine years now to help virtualize that data, make it more portable, make it easier to use for all those reasons to help drive those business, and that is our value proposition. You're right, we sort of started in that, "Are you a storage company?" We're storage agnostic and today we're cloud agnostic, it's about the data. >> Stu: Yeah, I mean, it's really... You're a software company, correct? >> We're a software company. >> So, you hit on a key thing that I've looked at for a while, is everybody is talking about how do I as a company, how do I become more agile, how to move faster. You know, CI-CD is kind of table stakes these days for so many companies. How does Actifio help companies prevent that storage from being an anchor weighing them down and slowing them down? >> Sure, sure, I mean, CI-CD is great and you can move at speed, as long as you're talking about very lightweight elements of an application, JSON files, the XML, all those lightweight application elements, you know, LOGIC. But when it comes to that big database sitting behind the scenes that's actually powering that application, that's the gravitational pull that slows CI-CD down. Typically that, we've seen it take 80% plus of the software development lifecycle just to stand up to those environments, so people make compromises, they subset it, they do all the crazy things to try and avoid the storage or infrastructure tax when it comes to setting up those environments. We can help bypass that, again, it's virtual data, so now we can start to port it, we can move it, we can parallelize it and we can get it ready for these developers through our automation and orchestration in minutes, as opposed to hours or days in many cases for the service levels. >> All right, so Brian, you mentioned developers there. Definitely kind of the infrastructure world has been like, "Oh, gosh, how do we do it "through the developers, how do we fit "in this whole world," you know, DevOps and like, infrastructure. A lot of times it's been oil and water. What are you hearing from your customers, how does that play into what they're doing? >> Yeah, I mean, developers for us are the consumers, right, they are the end users of that data and the infrastructure team or the operations or DBA teams are really the providers of that data and they have to stand it up. They have to stand up the infrastructure, they have to stand up the data, they have to do all the rolls, log rolls and the like, data prep, and so if we can help them really collapse that time to access the data, because it's always in its native format, prep the data so it's ready for use, and then parallelize it so that way we can actually do multiple test streams or multiple development streams or we can, you know, do those more agile scrum projects and get more done in a given calendar quarter. Now all of a sudden those consumers are happier because they're getting the data in its full state, more of it, more rapidly than they ever have, and the operations teams are happy because they don't have to buy more storage to do it, they can actually go on and do other projects instead of have to sit there and manually get data set for developers. >> One of the challenges we hear from customers these days is where they develop it and how they do that versus production, very different. A lot of times some things that we've been doing in my data center, some are in the public cloud, how does the whole where it lives fit into your environment. I know Actifio, you just had a big announcement around some of your cloud pieces. >> Sure, we just released our eighth major release of our software since our founding, and it was really probably, from an engineering time standpoint, the largest release since our first one and it was very cloud centric. Our starting point as a company was really to try and be infrastructure agnostic. Wherever you wanted to put your data from a storage or compute standpoint, we wanted to give you that freedom to do so. Now it's just as relevant in the cloud. You should be able to choose the cloud for the given workload or the given data payload. You know, don't have to get frozen into one or locked into one. Let you choose and then also, once you've chosen, giving you the freedom to actually port from cloud to cloud if need be because you might choose, whether it's economic arbitrage or whether it's just different paths, capabilities in different clouds suitable for different workloads. We want to give you that freedom. >> All right, but you know, public cloud, come on, it's supposed to be easy. They've got, you know, so many features. What's the gap, if I'm deploying, you know, choose your favorite public cloud whether AWS, Azure, GCP, Oracle IBM, et cetera... >> Sure. >> What's the piece that Actifio delivers that's still needed by customers that's not kind of native? >> It just comes back to that data. Boy, it's always the data, it's always the can that gets kicked down the road because again, those lightweight elements of applications are so easy to move, and then we just get stuck with this big gravitational pull of data. And you know, the fallacy or the popular myth about public cloud is it's going to be easier and it's going to be cheaper, and it can be both and it can be both particularly when you can get the data in there and it's in a suitable state to actually use for these development analytics, all these different workload characteristics that, while it's stuck in non native format in its very large state, it's unusable in those clouds. >> Yeah, Brian, you meet with a lot of customers, you've been doing a lot of traveling recently. >> Brian: Yes. >> Any specific stories you can tell or kind of aggregate, what are they struggling with with cloud, what's working well with them. >> Yeah. >> Of course, how you're fitting into that. >> Yeah, you know, there's sort of three camps that I've seen over the last several weeks particularly. There's the camp that, whether it's regulatory pressures or just internal policy, they're not going to move but they still want to change their operating model to a cloud model, and so they're implementing and instrumenting their internal environments, their prior cloud to operate just like an Amazon or Azure or Google, but all behind the firewall. And they still need all of that capability for the data automation, they want their data on demand for those applications, they want self service, they want infrastructure as code, and they want to take advantage of Actifio to help power that internal cloud. That's camp one, and that's still a pretty hefty camp. Camp two is, you know, I would call more traditional companies who are not born in the cloud but have embraced the cloud and really want a fast on ramp to get their data into one or more public clouds so they can get out of the data center business, and they're using Actifio really as an on ramp first, but then once it gets into the cloud they're using the native data management capabilities that they can take advantage of in the public cloud so they can keep their agility moving at the speed of their VMs, at the speed of their lightweight components. And then the third camp, which has really been interesting to watch, is the born in the cloud guys, and really starting to realize that the native capabilities of these public clouds are very powerful, but they don't really take the place of traditional backup for example. There is no backup software native inside of AWS, an EBS snapshot is a great snapshot, it's not a backup though. You can't really use it as a time machine, and when you go region to region you do fulls, and so it becomes very heavy and very costly. So, Actifio can really play a role for even those native, born in the cloud applications to provide the enterprise class data management but in a public cloud. >> Brian, you know, bring us up to speed, kind of how do you characterize your customers, how many customers to do you have, how much of them are kind of the new class versus, "I've got my data center," kind of sitting on these things. >> Yep, well, since our founding we've really focused on that upper mid market and enterprise customer. We just crossed over the 3,000 customer mark at the end of the last quarter. We operate in 37 countries today, and I would say they run the gamut from the Fortune 50s to that sort of Fortune 10,000s, but they all have very common characteristics, you know. As you would expect, we thrive in environments where data is growing and growing fast, we thrive where data is regulated or under some sort of internal or external pressure around management, and we really thrive in environments and industries that are truly embracing this digital transformation. They know that, like you said, that data is the new oil, data is their best currency today, and in fact, CryptoData is currency, and so they're truly embracing that and they want to move faster and they want to move faster with the data that they have today. Whether they choose to do that on premise or in the cloud or in the cloud at some point in the time, they want the freedom to make that choice when it's right for their business. >> All right, Brian, personal question for you. You brought up digital transformations and today you're wearing a CMO hat. You've had a number of different roles, C-suite roles in the past, what is the changing role of of the CMO today, especially with that landscape of digital transformation? >> Right, yeah, it's fascinating to watch just the change of what my budget line items are aligned around. You know, I probably spend as much on software and other licensed models, SAS models, to support my business, to support my digital and inbound marketing efforts, to support my analytics efforts around what's working, what's not. How do I tune the best marketing mix to really cater to the changing role of a consumer of content, and then all of the contents indication and content marketing. So, you know, I... To some degree, I think part of the changing nature of a CMO is they have to be very technology... Or I should say technology aware, focused on the business outcomes but understanding how technology can play a role to really affect those business outcomes. In my case, whether that's increasing the exposure of the company, whether that's increasing the lead flow to our sales organization, whether that's making our different routes to market more optimized and enabled for higher velocity of sales. All of those things can be technology enabled today, so you have to be much more conscious about... It's almost like a CIO junior role inside of an enterprise. >> Yeah, really interesting, right. We've debated for years where will the IT budget be driven from, sounds like you've got an impact on that. I love the discussion you talked about, you know, kind of how technology's helping to transform businesses. Do you have any customer examples, customers that are just doing some cool stuff with technology that could kind of be useful? >> So, I'm going to use a company that would probably be the last industry you would expect me to bring up, but I think they're a fascinating use case. So, Waste Industries, they're in the trash disposal business, and the CIO has corrected me on numerous occasions, "It's okay to "say the word 'trash,'" and so we were talking. They used Actifio first to help them solve, you know, very classic, modernize my DR strategy, part of the business, but then they started to realize that the power of using that data for other purposes, to accelerate analytics, because it turns out in the trash disposal business they actually instrument a lot of things. They instrument their trucks, they instrument with sensors their canisters, they do route optimizations based on data that they're getting from all of these devices, so as this CIO is fond of saying, they're not in the internet things, they're in the internet of trash, and so they're using data to help them be a much more innovative and frankly optimized organization today, and then as they start to think about where the future of their business goes... Now that they're starting to become a data company they can start to really comprehend what does it look like with autonomous vehicles in trash disposal, what does it look like in terms of using different types of vehicles to do routes. Maybe even an Airbnb type of model or an Uber model where maybe it's not even just our people doing the routes, but it's other organizations so we can start to sell data, too, to help them become a greater part of our organization. Fascinating, you know, probably the company on the surface that you'd think would probably not be a data company at all, but I think it personifies where we are as an industry today. Every company is a data company and the companies that win in the market are the companies that truly embrace being a data company and taking advantage of that. >> Yeah, definitely not one I first would be thinking of. (laughs) All right, but last question I have for you, we're heading into 2018. >> Brian: Yes. >> What should we be looking for, you know, the brain of Actifio, people that are watching, what do we expect next year? >> So, I think, you know, very exciting year for us. As I mentioned, we just released this major software update. The customer adoption already has been tremendous. We see really the embracing the cloud, whether it's behind the firewall or embracing the public cloud, multi-cloud being a big theme for us. You know, I think that we have... A Gartner analyst said to me a few weeks back, he said, "You know, you've been around, "you're disruptive still, though, but you're proven, "and being disruptive and proven "is a really powerful thing," and so we feel like we've got a great punching weight in terms of market presence. We have amazing customers in every industry. We see this, you know, 2018 as a really great year to continue our scaling, continue to be a very profitable and growing organization, and really helping to meet the needs of some of these incredibly interesting use cases around data in the business. >> Wait, profitable and growing, you must be an east coast company. (laughs) >> Brian: That's right. >> All right, well, Waltham, Massachusetts. Appreciate having you on. >> Brian: Thank you, Stu. >> Especially a startup right down the road here from our east coast studios. Always good talking up and look forward to talking to you more next year. >> Next time. >> And thank you so much for watching us. Be sure to check out thecube.net for all of our interviews, all of our upcoming events, and hit us up if you have any questions. Thanks so much for watching theCUBE. (techy music playing)

it's the cue now here's your host stool minimun hi this is Stu miniman with Wikibon with a special presentation of the cube here at the ribbon cutting at infinite at new briefing center in Waltham Massachusetts excited to have with me Brian Carmody who is the CTO of infinite at Brian thanks for joining me hey Stuart how you doing I'm doing great so we've talked to some of your team here got on the inside so here we're outside but we're going to be digging into some of the innards of what's going on in the industry so yeah Brian you know not much has been going on in the storage industry let me see in the last month we had the you know finalization of the largest kind of acquisition / merger in the industry of technology with Dell buying EMC and Newt annex just IP ode so you know when we've got the CTO we always want to kind of dig in you know what what's in your head what what are the big kind of mega trends that you're seeing and how's that impact what you're doing yeah so this was obviously it's been a crazy era of innovation for us I would even just looking back at the past two years you know 2016 or let's say 2015 was kind of the year that storage got fast it was the year that NAND flash at the knee of the adoption curve and every marketing person everywhere was hashtag AFA and then 2016 was kind of the year we think that storage got commoditized this was when software-defined in hyper converged technologies kind of hit the knee of the adoption curve it was capped just like 2015 was capped by the pure IPO 2016 was capped by the mechanics IPO telling is a really interesting question of what comes next like what's the next mountain that we're going to climb as an industry and we're hearing really interesting things from customers about what their priorities and what their challenges are so first off going into 2017 one of the really interesting phenomenon is that the requirements from traditional enterprise let's say a CTO of a bank that's building a next-generation data center versus a mega cloud provider those requirements are starting to converge so this idea that the cloud is one thing an enterprise is something else I think we're starting to kind of move past that obviously there's a huge trend still going on for compute heavy workloads to move off premise into into public clouds and kind of a net flow of storage heavy workloads tend to move on premise but I think we're at the point now where we're kind of reaching an equilibrium point between those two so that is certainly one trend another thing that we're hearing very much about is the the rise of new KPIs for measuring IT systems acquisition cost is still a big piece of the equation but new technologies are new new new metrics like power space and cooling are becoming very critically important because with the transition to the cloud even CIOs of very large fortune 500 companies their computations are often happening for the first time now in spaces where they are a tenant in someone else's get they are renting space or renting capacity so all this is putting a lot of pressure on systems designers to really focus on density of storage and density of computation and you know we see that this is contributing to the rise of a new class of storage technologies called hyper storage systems which are designed to to meet those goals all right so so Brian I'm I've tried to create different market categories before when I join Wikibon it was hyperscale invades the enterprise when people before were they were talking about hyper converged asthma much we talked about we called it server San actually because it was you know the benefits of ass and brought to the server but you know so you've got that term hyper in there is that hyper scales and hyper converge is it some other you know hyperness you know what what's what's the general idea you're trying to get food this new category it so let's take a look at kind of the existing commercially available technologies and it's kind of interesting to look at it and think about it on a two-dimensional axis of looking at the density and then the latency so you have the for example the traditional monoliths these are latency that's low enough for primary storage they do not tend to be very dense you know they're under a petabyte of storage per rack and that's where the industry began that's what a lot of us kind of cut our teeth on there being superseded by all-flash arrays these are higher density because they have data reduction technologies built-in natively into their data paths they have better latency so they're kind of moving up and to the right with respect to the monoliths but they come at a price they tend to be exceedingly expensive and relatively small systems then you have the SDS and the server storage and the scale out stuff they tend to be very close to the density of the monoliths again a half about half a petabyte to a petabyte per rack a regression on latency but they're being widely adopted because the costs are just so much better than the monoliths and the AFA is and that's the entire enterprise storage industry right in this area here now all the way down if you move to higher density you have systems like the Facebook open vault so this is you know an awesome open source storage system that I'm that Facebook developed it's the basis of haystack and f4 two of the largest storage systems in the world right now these are incredibly dense storage systems multiple petabytes per rack but they're very high latency they're used for cold data only and other things like Amazon glacier and whatnot are kind of all clustered down in that high latency but super dense so hyper storage is if you move around that two-dimensional chart is the upper right-hand quadrant it is storage technology that has the reliability of monoliths it has the cost structure the programmability and the the ability to run on any type of hardware that the SDS systems have but it has the density and the data center profile of the hyper scalar storage so this is completely uncharted territory this is where all of the R&D spend companies in like Google and Amazon everybody's racing to try to go figure this out and this is the kind of wild west where we operate we have a three year head start I'm a on-prem part of this but it's not going to last because this is you know it's the remaining uncharted territory in the industry really interesting so you've heard it first hyper storage definitely something I've been hearing for number of years is especially the big financial guys have been they've had hyperscale Envy is really what it was there like you know we spent huge amounts of budgets on IT you know we know our stuff how dare you know a bunch of retail guys basically you know come in here and think that they understand this space so it sounds like you're bringing some of that back to them um you know is infinite out the only ones you know you mentioned some of the you know kind of Google and Facebook are there anybody else that's kind of packaging this for the enterprise other than infinite at not yet so the sum of the of our competitors that are building their systems out of all flash technologies are moving in the right direction but their their media itself has to become a lot more dense and the cost has to drop significantly until they can be realistic plays and until then it's going to be differentiated by scale when you want to do petabyte scale stuff you do it with art with hyper storage architectures and one you want to be small and tight and fast you do it with a FAS but I think those lines will be blurred over time great so it sounds like you've got a clear differentiation compared to kind of just the the software-defined pieces don't deliver on you know some of the density that you're talking about or some of the high level performance when we start getting things like nvme i hear is going to be a game changer for the the hyperscale pieces do we start to see the blurring of lines between some of these architectures or is this something that you know two years from now you're going to say ok here's the last wave and here's the next wave yeah so I mean if you take a longer view instead of two years I mean if we if we look at a five and a ten year view this is all there is going forward there's hyperscale architectures or disaggregated architectures which are for compute heavy storage light workloads and then you have hyper storage which is for storage heavy compute neutral workloads and going forward if you take a 10-year window that's all there is out there well Brian I'm hoping we can do a whiteboard with you sometime in the future or maybe there'll be some kind of you know thesis on you know the kind of the hyperscale the hyper storage category but appreciate you here sharing it with our audience here I want to give you the final word as to kind of you know that the hard work that still needs to be done in the storage industry over the next few years go Patriots alright well we'll drop the mic there thank you brian says is so much for joining us and thank you for watching the cube