(soft intro music) >> Welcome back to theCUBE's coverage of VeeamON 2022. Dave Vellante with David Nicholson. Brian Schwarz is here. We're going to stay on cloud. He's the director of product management at Google Cloud. The world's biggest cloud, I contend. Brian, thanks for coming on theCUBE. >> Thanks for having me. Super excited to be here. >> Long time infrastructure as a service background, worked at Pure, worked at Cisco, Silicon Valley guy, techie. So we're going to get into it here. >> I love it. >> I was saying before, off camera. We used to go to Google Cloud Next every year. It was an awesome show. Guys built a big set for us. You joined, right as the pandemic hit. So we've been out of touch a little bit. It's hard to... You know, you got one eye on the virtual event, but give us the update on Google Cloud. What's happening generally and specifically within storage? >> Yeah. So obviously the Cloud got a big boost during the pandemic because a lot of work went online. You know, more things kind of being digitally transformed as people keep trying to innovate. So obviously the growth of Google Cloud, has got a big tailwind to it. So business has been really good, lots of R&D investment. We obviously have an incredible set of technology already but still huge investments in new technologies that we've been bringing out over the past couple of years. It's great to get back out to events to talk to people about 'em. Been a little hard the last couple of years to give people some of the insights. When I think about storage, huge investments, one of the things that some people know but I think it's probably underappreciated is we use the same infrastructure for Google Cloud that is used for Google consumer products. So Search and Photos and all the public kind of things that most people are familiar with, Maps, et cetera. Same infrastructure at the same time is also used for Google Cloud. So we just have this tremendous capability of infrastructure. Google's got nine products that have a billion users most of which many people know. So we're pretty good at storage pretty good at compute, pretty good at networking. Obviously a lot of that kind of shines through on Google Cloud for enterprises to bring their applications, lift and shift and/or modernize, build new stuff in the Cloud with containers and things like that. >> Yeah, hence my contention that Google has the biggest cloud in the world, like I said before. Doesn't have the most IS revenue 'cause that's a different business. You can't comment, but I've got Google Cloud running at $12 billion a year run rate. So a lot of times people go, "Oh yeah, Google they're third place going for the bronze." But that is a huge business. There aren't a lot of 10, $12 billion infrastructure companies. >> In a rapidly growing market. >> And if you do some back of napkin math, whatever, give me 10, 15, let's call it 15% of that, to storage. You've got a big storage business. I know you can't tell us how big, but it's big. And if you add in all the stuff that's not in GCP, you do a lot of storage. So you know storage, you understand the technology. So what is the state of technology? You have a background in Cisco, nearly a networking company, they used to do some storage stuff sort of on the side. We used to say they're going to buy NetApp, of course that never happened. That would've made no sense. Pure Storage, obviously knows storage, but they were a disk array company essentially. Cloud storage, what's different about it? What's different in the technology? How does Google think about it? >> You know, I always like to tell people there's some things that are the same and familiar to you, and there's some things that are different. If I start with some of the differences, object storage in the Cloud, like just fundamentally different. Object storage on-prem, it's been around for a while, often used as kind of like a third tier of storage, maybe a backup target, compliance, something like that. In the cloud, object storage is Tier one storage. Public reference for us, Spotify, okay, use object storage for all the songs out there. And increasingly we see a lot of growth in-- >> Well, how are you defining Tier one storage in that regard? Again, are you thinking streaming service? Okay. Fine. Transactional? >> Spotify goes down and I'm pissed. >> Yeah. This is true. (Dave laughing) >> Not just you, maybe a few million other people too. One is importance, business importance. Tier one applications like critical to the business, like business down type stuff. But even if you look at it for performance, for capabilities, object storage in the cloud, it's a different thing than it was. >> Because of the architecture that you're deploying? >> Yeah. And the applications that we see running on it. Obviously, a huge growth in our business in AI and analytics. Obviously, Google's pretty well known in both spaces, BigQuery, obviously on the analytics side, big massive data warehouses and obviously-- >> Gets very high marks from customers. >> Yeah, very well regarded, super successful, super popular with our customers in Google Cloud. And then obviously AI as well. A lot of AI is about getting structure from unstructured data. Autonomous vehicles getting pictures and videos around the world. Speech recognition, audio is a fundamentally analog signal. You're trying to train computers to basically deal with analog things and it's all stored in object storage, machine learning on top of it, creating all the insights, and frankly things that computers can deal with. Getting structure out of the unstructured data. So you just see performance capabilities, importance as it's really a Tier one storage, much like file and block is where have kind of always been. >> Depending on, right, the importance. Because I mean, it's a fair question, right? Because we're used to thinking, "Oh, you're running your Oracle transaction database on block storage." That's Tier one. But Spotify's pretty important business. And again, on BigQuery, it is a cloud-native born in the cloud database, a lot of the cloud databases aren't, right? And that's one of the reasons why BigQuery is-- >> Google's really had a lot of success taking technologies that were built for some of the consumer services that we build and turning them into cloud-native Google Cloud. Like HDFS, who we were talking about, open source technologies came originally from the Google file system. Now we have a new version of it that we run internally called Colossus, incredible technologies that are cloud scale technologies that you can use to build things like Google Cloud storage. >> I remember one of the early Hadoop worlds, I was talking to a Google engineer and saying, "Well, wow, that's so cool that Hadoop came. You guys were the main spring of that." He goes, "Oh, we're way past Hadoop now." So this is early days of Hadoop (laughs) >> It's funny whenever Google says consumer services, usually consumer indicates just for me. But no, a consumer service for Google is at a scale that almost no business needs at a point in time. So you're not taking something and scaling it up-- >> Yeah. They're Tier one services-- for sure. >> Exactly. You're more often pairing it down so that a fortune 10 company can (laughs) leverage it. >> So let's dig into data protection in the Cloud, disaster recovery in the Cloud, Ransomware protection and then let's get into why Google. Maybe you could give us the trends that you're seeing, how you guys approach it, and why Google. >> Yeah. One of the things I always tell people, there's certain best practices and principles from on-prem that are just still applicable in the Cloud. And one of 'em is just fundamentals around recovery point objective and recovery time objective. You should know, for your apps, what you need, you should tier your apps, get best practice around them and think about those in the Cloud as well. The concept of RPO and RTO don't just magically go away just 'cause you're running in the Cloud. You should think about these things. And it's one of the reasons we're here at the VeeamON event. It's important, obviously, they have a tremendous skill in technology, but helping customers implement the right RPO and RTO for their different applications. And they also help do that in Google Cloud. So we have a great partnership with them, two main offerings that they offer in Google. One is integration for their on-prem things to use, basically Google as a backup target or DR target and then cloud-native backups they have some technologies, Veeam backup for Google. And obviously they also bought Kasten a while ago. 'Cause they also got excited about the container trend and obviously great technologies for those customers to use those in Google Cloud as well. >> So RPO and RTO is kind of IT terms, right? But we think of them as sort of the business requirement. Here's the business language. How much data are you willing to lose? And the business person says, "What? I don't want to lose any data." Oh, how big's your budget, right? Oh, okay. That's RPO. RTO is how fast you want to get it back? "How fast do you want to get it back if there's an outage?" "Instantly." "How much money do you want to spend on that?" "Oh." Okay. And then your application value will determine that. Okay. So that's what RPO and RTO is for those who you may not know that. Sometimes we get into the acronym too much. Okay. Why Google Cloud? >> Yeah. When I think about some of the infrastructure Google has and like why does it matter to a customer of Google Cloud? The first couple things I usually talk about is networking and storage. Compute's awesome, we can talk about containers and Kubernetes in a little bit, but if you just think about core infrastructure, networking, Google's got one of the biggest networks in the world, obviously to service all these consumer applications. Two things that I often tell people about the Google network, one, just tremendous backbone bandwidth across the regions. One of the things to think about with data protection, it's a large data set. When you're going to do recoveries, you're pushing lots of terabytes often and big pipes matter. Like it helps you hit the right recovery time objective 'cause you, "I want to do a restore across the country." You need good networks. And obviously Google has a tremendous network. I think we have like 20 subsea cables that we've built underneath the the world's oceans to connect the world on the internet. >> Awesome. >> The other thing that I think is really underappreciated about the Google network is how quickly you get into it. One of the reasons all the consumer apps have such good response time is there's a local access point to get into the Google network somewhere close to you almost anywhere in the world. I'm sure you can find some obscure place where we don't have an access point, but look Search and Photos and Maps and Workspace, they all work so well because you get in the Google network fast, local access points and then we can control the quality of service. And that underlying substrate is the same substrate we have in Google Cloud. So the network is number one. Second one in storage, we have some really incredible capabilities in cloud storage, particularly around our dual region and multi-region buckets. The multi-region bucket, the way I describe it to people, it's a continent sized bucket. Single bucket name, strongly consistent that basically spans a continent. It's in some senses a little bit of the Nirvana of storage. No more DR failover, right? In a lot of places, traditionally on-prem but even other clouds, two buckets, failover, right? Orchestration, set up. Whenever you do orchestration, the DR is a lot more complicated. You got to do more fire drills, make sure it works. We have this capability to have a single name space that spans regions and it has strong read after write consistency, everything you drop into it you can read back immediately. >> Say I'm on the west coast and I have a little bit of an on-premises data center still and I'm using Veeam to back something up and I'm using storage within GCP. Trace out exactly what you mean by that in terms of a continent sized bucket. Updates going to the recovery volume, for lack of a better term, in GCP. Where is that physically? If I'm on the west coast, what does that look like? >> Two main options. It depends again on what your business goals are. First option is you pick a regional bucket, multiple zones in a Google Cloud region are going to store your data. It's resilient 'cause there's three zones in the region but it's all in one region. And then your second option is this multi-region bucket, where we're basically taking a set of the Google Cloud regions from around North America and storing your data basically in the continent, multiple copies of your data. And that's great because if you want to protect yourself from a regional outage, right? Earthquake, natural disaster of some sort, this multi-region, it basically gives you this DR protection for free and it's... Well, it's not free 'cause you have to pay for it of course, but it's a free from a failover perspective. Single name space, your app doesn't need to know. You restart the app on the east coast, same bucket name. >> Right. That's good. >> Read and write instantly out of the bucket. >> Cool. What are you doing with Veeam? >> So we have this great partnership, obviously for data protection and DR. And I really often segment the conversation into two pieces. One is for traditional on-prem customers who essentially want to use the Cloud as either a backup or a DR target. Traditional Veeam backup and replication supports Google Cloud targets. You can write to cloud storage. Some of these advantages I mentioned. Our archive storage, really cheap. We just actually lowered the price for archive storage quite significantly, roughly a third of what you find in some of the other competitive clouds if you look at the capabilities. Our archive class storage, fast recovery time, right? Fast latency, no hours to kind of rehydrate. >> Good. Storage in the cloud is overpriced. >> Yeah. >> It is. It is historically overpriced despite all the rhetoric. Good. I didn't know that. I'm glad to hear. >> Yeah. So the archive class store, so you essentially read and write into this bucket and restore. So it's often one of the things I joke with people about. I live in Silicon Valley, I still see the tape truck driving around. I really think people can really modernize these environments and use the cloud as a backup target. You get a copy of your data off-prem. >> Don't you guys use tape? >> Well, we don't talk a lot about-- >> No comment. Just checking. >> And just to be clear, when he says cloud storage is overpriced, he thinks that a postage stamp is overpriced, right? >> No. >> If I give you 50 cents, are you going to deliver a letter cross country? No. Cloud storage, it's not overpriced. >> Okay. (David laughing) We're going to have that conversation. I think it's historically overpriced. I think it could be more attractive, relative to the cost of the underlying technology. So good for you guys pushing prices. >> Yeah. So this archive class storage, is one great area. The second area we really work with Veeam is protecting cloud-native workloads. So increasingly customers are running workloads in the Cloud, they run VMware in the Cloud, they run normal VMs, they run containers. Veeam has two offerings in Google that essentially help customers protect that data, hit their RPO, RTO objectives. Another thing that is not different in the Cloud is the need to meet your compliance regulations, right? So having a product like Veeam that is easy to show back to your auditor, to your regulator to make sure that you have copies of your data, that you can hit an appropriate recovery time objective if you're in finance or healthcare, energy. So there's some really good Veeam technologies that work in Google Cloud to protect applications that actually run in Google Cloud all in. >> To your point about the tape truck I was kind of tongue in cheek, but I know you guys use tape. But the point is you shouldn't have to call the tape truck, right, you should go to Google and say, "Okay. I need my data back." Now having said that sometimes the highest bandwidth in the world is putting all this stuff on the truck. Is there an option for that? >> Again, it gets back to this networking capability that I mentioned. Yes. People do like to joke about, okay, trucks and trains and things can have a lot of bandwidth, big networks can push a lot of data around, obviously. >> And you got a big network. >> We got a huge network. So if you want to push... I've seen statistics. You can do terabits a second to a single Google Cloud storage bucket, super computing type performance inside Google Cloud, which from a scale perspective, whether it be network compute, these are things scale. If there's one thing that Google's really, really good at, it's really high scale. >> If your's companies can't afford to. >> Yeah, if you're that sensitive, avoid moving the data altogether. If you're that sensitive, have your recovery capability be in GCP. >> Yeah. Well, and again-- >> So that when you're recovering you're not having to move data. >> It's approximate to, yeah. That's the point. >> Recovering GCV, fail over your VMware cluster. >> Exactly. >> And use the cloud as a DR target. >> We got very little time but can you just give us a rundown of your portfolio in storage? >> Yeah. So storage, cloud storage for object storage got a bunch of regional options and classes of storage, like I mentioned, archive storage. Our first party offerings in the file area, our file store, basic enterprise and high scale, which is really for highly concurrent paralyzed applications. Persistent disk is our block storage offering. We also have a very high performance cash block storage offering and local SSDs. So that's the main kind of food groups of storage, block file object, increasingly doing a lot of work in data protection and in transfer and distributed cloud environments where the edge of the cloud is pushing outside the cloud regions themselves. But those are our products. Also, we spend a lot of time with our partners 'cause Google's really good at building and open sourcing and partnering at the same time hence with Veeam, obviously with file. We partner with NetApp and Dell and a bunch of folks. So there's a lot of partnerships we have that are important to us as well. >> Yeah. You know, we didn't get into Kubernetes, a great example of open source, Istio, Anthos, we didn't talk about the on-prem stuff. So Brian we'll have to have you back and chat about those things. >> I look forward to it. >> To quote my friend Matt baker, it's not a zero sum game out there and it's great to see Google pushing the technology. Thanks so much for coming on. All right. And thank you for watching. Keep it right there. Our next guest will be up shortly. This is Dave Vellante for Dave Nicholson. We're live at VeeamON 2022 and we'll be right back. (soft beats music)

>> Narrator: From theCube studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is theCube conversation. >> Hi everybody. Welcome to theCUBE, this is Dave Vellante, and we're here to talk about a very important topic around de-risking infrastructure with business continuity. This is critical, especially in the era of COVID. And with me, to really explore this issue is Dr. Rico, who's the vice president office of the CTO at INFINIDAT Doc. Good to see you. >> Good to see you again, Dave. >> And Ken Steinhardt, is also here as a field CTO at INFINIDAT and I got to tell the audience, Doc, you're also the chairman of the Mass Motorcycles Association. You're a very cool guy. You're a pilot, you're a firearms instructor, all about safety, and Ken and Doc you're both musicians, right? Doc, I think he played the drums, and Ken, I know when we first met, you're a music guy, so wow. Surrounded by talent so, thank you so much for coming on. >> Glad to be here. Great to see you. >> For the other thing too is that you guys are long time storage industry experts. I've known you both for many, many years. INFINIDAT deep engineering expertise of course, everybody knows about Moshay, he created the most successful product in the history of the storage industry. And we're going to talk about the importance of data, especially in this era of COVID, and how mission criticality has really become more and more important. So, I want to start Doc with you and this notion of business continuity. How are you thinking about, and INFINIDAT thinking about business continuity in this isolation era? >> Well, that's a really great question Dave, because it has changed quite a bit. And as you said, we've known each other a long time, all the way back to when I still had hair, that was (indistinct). But, business continuity is something that every business constantly looks at throughout their evolution. And it's one of these things where certain applications are typically more mission critical than others. And lately, what we've seen is this genre of a lights out data center that has become absolutely critical operating a business today. People can't just be on site anymore. People need to be working remotely, and that includes data center personnel and in many respects. So, this whole concept of business continuity now encompasses not only the operation equipment that's on premises, or sometimes even off premises, but it also encompasses applications that people need access to that they may not have thought of mission critical before, because working from home was a convenience or working remotely was a convenience, not a requirement for that business. >> You, Ken, I know you talked to a lot of CIOs. I was sitting at a CIO round table with my friends down at ETR recently, and one of the CIO said, when COVID hit, we realized that our business quote unquote business continuity plans were just way too narrowly focused on DR. What do you see from the IT community? >> It's funny because I literally was on a CIO round table with the West Coast this morning. And there were a couple of interesting comments that really stuck out to me from some of the people there. One was commenting of just reaffirming, what Doc said, how much people are working from home now. They said, traditionally they'd had traditional offices and they've just recently hired in this company about 250 people. He said, all of them are going to be remote workers and their normal from here on out, for the next 150 they're looking to hire is just that business as usual will be remote work. And one of the other CIOs chimed in with a quote that really stuck out to me. He said, "Remote work requires always on infrastructure in this day and age." And it's just a whole new way of having to make sure that businesses are operational and their workers can do what they're supposed to do. >> Well, so let's stay on that. I mean, ransomware's on everybody's mind. I mean, all you have to do is look at the stock market, you see, what's happened with Zoom, it's exploded. All the end point securities, identity access management security companies are going crazy, because (chuckles) people are now so vulnerable. So, they're more exposed to ransomware, Ken, what do we really need to know about ransomware? First, the smart company, smart organization is the one that is prepared and assumes the worst. Which means don't think it can't happen to you, especially when you look at a couple of the more public examples in the last couple of years in particular. So, it means you must take steps to protect yourself, particularly for the sake of your company, your business, your employees, your shareholders, your customers, everyone else. And that means deploying technology that assumes that if the worst case scenario could happen to you, how do you make sure that you have taken the steps that you can avoid the worst possible scenarios that could happen? >> Well, you know, Doc, lot of times when you have this discussion on ransomware, people say, well, should I pay the ransom? And sometimes people say, well, yeah, maybe it should go. You hope you never get there, right? (chuckles) >> Right, you absolutely hope you never get there. There is such horrible examples of paying ransom that just don't work. Just look at the Somalia pirates as an example, right? It doesn't stop them at all, but, take a look at what the potential impact is, not the potential impact to your business and your employees, but the potential impact to society. A couple of years ago with Sony, was very notorious case. More recently, a couple of months ago, Garmin. As you mentioned, I'm a pilot, but I was very worried as what reservoir, a lot of people in the aircraft and in aviation industry. What's going to happen not only with our private information, the account information, but what's going to happen with avionics updates? If Garmin didn't have a fallback plan, a way to recover, then what was going to happen? And I'm sure they were going through the process and the thoughts of, should we pay this year? How else do we get out of this? But, fortunately they had a very good plan in place and it only took them a couple of days to restore back to normal operations. Arguably as far as avionics goes, they were lucky in the sense that this happened to them right in the middle of an update cycle, which is 28 day cycle. But the fact that it only took them a couple of days, congratulations to them. I'm sure that with even better plans and a little bit of extra effort, it could have been a matter of hours instead of days. >> Well, let's come back to business continuity. Ken, do you feel as though businesses are not prepared based on the conversation we were having earlier? >> Some are, some aren't. It will be getting into that, I think in a little bit more detail as well, but historically, organizations I think have focused far too much just on traditional disaster recovery, usually with things like some of the technologies that have been around a long while like backup, and onto often having focused towards the technologies that really do keep the business running without human intervention if something were to ever go wrong. >> So, Doc, anything you'd add to that? I mean, what's the state of business continuity from your perspective? Are people having to really starting to accelerate a journey because of this COVID? >> I absolutely think they're accelerating a journey. They're also looking now at, this concept of multiple active sites. The concept of active sites is not something new, it's something that dates back a couple of decades and a lot of the financial industry. When they were struck, they were looking at some very significant changes in their operational paradigm because they realized that the system is going down and is only a small percentage of the problem that people impact is far worse. The operational procedures, the human intervention. So, what they would do is typically build out multiple sites and rotate the applications between them. What they really haven't done yet, at least not on a broad scale and certainly not in the U.S and some cases in Europe, they started this journey, having applications running simultaneously in multiple sites accessing the same data sets. It's not a brand new concept, but it's something that has improved significantly. The technologies have improved significantly over the course of the past decade. And with the introduction of our active backend solution, a couple of years ago, even brought it to an entirely new level. >> The people aspect that Doc mentioned is so critical. And that's certainly been one of the key lessons learned when real disasters have occurred is that the systems have to be, if you really want to keep your business operating making an assumption that people are going to have depending upon the nature of the disaster. Very different priorities and one of them is not, Gee, do I keep these ITs systems running or not? They're going to be worried about their co-workers, their families, other things, et cetera. So, the ultimate has to be systems that are capable of continuing the operation of the business in the face of a site failure, a metropolitan area failure or whatever it takes without the requirement necessarily for human intervention. >> So, I want to get into active-active. But before we do, I wonder if we could do a little sort of data protection one on one, a back up, a replication, you got snapshots, Doc, what do we need to know about each in the context of this discussion? >> I think the important thing to look at when you think about the different types of technologies and say you apply the solutions is that some of them apply to specific equipment failures, and some of them apply to data failure. And I separate equipment from data in the sense that data can be corrupted in some shape or form. It can be through malicious attack, like ransomware as an example, only one example, other types of malware can play a factor as well, or it can be incidental. Somebody pressing the wrong button, it can be an operational procedure, perhaps another system failure that causes a change in the data or corruption in the data that makes it essentially unusable. So, whenever we're looking at this, we have to start with what is the recovery point objective. The RPO that's where most people start with. And in the RPO, in essence, if you think of time zero, right now, it's where the failure occurs. Walk backwards. How far back can I go and still sustain my business? Now, there may be other procedural things you can do to catch up as close to that RPO and zero as you can, but each of these technologies that we're talking about give you a different RPOs, like rewinding a tape back to a point in time. So, that's the first place to start. >> Okay. So, let's bring up that slide actually. I actually liked this as the fireball slide I call it, but this is how people measure sort of the business impact, if you will, RPO and RTO. And what I like about this is in this digital world, it's kind of a cliche, but everything's getting more intense. People want, they don't want to lose data when you ask a customer, how much data are you willing to lose? They say none. >> None. >> And you say, well, how much are you willing to pay? So, Ken, I wonder if you could sort of describe that tension and that dynamic that's really underscored in this slide. >> Yeah. Oh, yeah, you hit it on the head David. It's the traditional trade off between RPO, RTO and cost. As Doc described with RPO, the objective would be to get as close to zero data loss as you could possibly get, with RTO which measures the time associated with how long will it take you to get back to your acceptable level of RPO. That is a time factor where for every minute or second, that goes by that you're not in business, that's the extension of the RTO. And historically, the closer you get as you approach zero RPO and zero RTO, usually the greater the cost goes up. And it's always been the eternal trade off, is a great analogy. It's sort of like if you want to buy a car. RPO equates for the quality of the solution, RTO is time or speed and cost is cost. If you buy a car, if it's good and it's fast, it won't be cheap. If it's good, and it's cheap, it won't be fast. And if it's fast, and it's cheap, it won't be good. So, usually that's the kind of tradeoff we will have to deal with there. And, the factors that will impact that, as Doc alluded to can be many. There's many aspects that you have to consider in terms of what is the service level that the business requires, and do we have solutions in place that can actually give us what is the real service level of the business requires if something were to go back? >> Because, customers have gone through, unnatural acts, and Doc before you were kind of describing what some people would refer to as, as a three site, data centers and all kinds of things that people will do, but that brings us to active-active, Doc, what is active-active? >> Yeah, let me interject a point there, and then I'll get to your question about active-active. First is the question I can raise about service level, that's absolutely critical. And business may have different service levels for different applications. >> Dave: Right. >> And you never really know what that is. For example, I was working with a university a few years back, you normally think, well, universities is where they worried about, they're worried about their grading systems. Everybody's always worried about their financial systems. This particular university was worried about their golf course reservations system. (laughs) And their number one mission critical application, and I'm sure there was a little chunk tongue and cheek there as well, was the golf course reservation system because that directly impacted, there were alumni and had a direct correlation to the incoming donations for the following year. So, you never know what's going to be mission critical. Closer to home working very recently, there's a great case study from Aultman Hospital on a website. One of the things that they did, which I thought was absolutely astounding, was they took advantage of our offer to loan them free storage for a while, leveraging some of the COD that they're passing on demand that they weren't using. One of the reasons that they wanted this extra capacity was so that they can make telepresence available to their patients to visit with their families. At a time when families can't go into the hospital visit, when people are ill, what a great comfort to their family. So, this is a great way to look at it. When you think about these different service levels now, and you think about the different types of replication technologies that are available. Look at the multisite, what is multisite really doing for you? Multisite is giving you some level of synchronous replication so that you have an RPO of zero recovery point objective. It still may not be an RTO or zero, but it will be darn close to it. But more importantly, it's giving you an additional site to really maintain that RPO of zero in case the disaster radius, the blast area, the impact zone is even further away. Now, this isn't going to prevent any type of malicious intent, it's not going to prevent the ransomware case, and things like that, but it'll certainly prevent the catastrophic failure of the data center. What does active-active do? Well, active-active now, gives you the read write capability. And now our multisite implementation by the way, leverages our active-active. So, gives you the ability now to have the simultaneously running instance of an application in multiple data centers, reading and writing from the same dataset. And what that gives you, is not only an RPO of zero, but an RTO of zero, because now you can have an application in another data center stand in and take over for it. Naturally, the application needs to be able to do that. There are a lot of applications that are capable of it. The Oracle parallel server or rack technology, gives you that capability. There are other types of clustering technologies that will fail almost instantaneously, that will give you that capability. So, that's where really active-active comes into play. >> Yeah, makes sense for me. When I started the industry, the VAX clusters were sort of the now thing, right? >> Yup. >> (indistinct) (Dave chuckles) >> All right. So, what are you seeing in the marketplace? Are you seeing... What's the adoption look like? Are there any differences that you see by region? What can you tell us there? >> Yeah, it's interesting. Some of the first organizations that obviously jumped on to active-active type solutions, were those where there were in particularly, in things like financial services, some compliance requirements or financial incentives or motivation to make sure that the business was always operational. And it's interesting because there was a study that was done all the way back in 2003, by Roper, that asked business executives and IT executives the same questions relative to their perceptions of their companies or organizations ability to meet RPO or RTO service level agreements. >> Right. And we have some data on this that I want to bring up. So, this is the RPO data but please carry on. >> Ken: Exactly, and so they asked questions that really were about RPO or RTO. Hey, if a disaster hit, would you lose data and how much? And what the data showed was that the business executives and IT executives in Europe, were actually pretty much on the same page. They both said, yeah, we probably would lose some data or a reasonable amounts associated with it. But what was a little frightening, was there appeared to be a chasm of disconnect between the business executives, from the IT executives in the U.S. And what it showed was that the IT executives were on the same page as the European IT executives and the business executives from Europe, saying that, yeah, we'd probably lose some data. But it showed that very few of the business executives thought that they would. And then similarly, when they were asked the question about RTO, how long would it take? In terms of days, hours, et cetera, for your full operation to be back in operational and granted they were talking in 2003 terms back then, which was a little longer than where the technology can now address it now. There was, again, this consistency between the IT executives in both continents and countries, as well as the European business executives, but again, a disconnect where the business executives in the U.S thought, oh, no, we'll be fine. We'll have everything back in a couple of days or less than, it won't be an issue. In my opinion, in looking at that data, when it first came out, my impression was, well, now I understand why a lot of business continuity projects don't get approved because the IT people know that they need it, but the business executives have, if I could be so bold and unrealistically optimistic view of their ability to achieve RPO and RTO, I'll give you a great example. There was a major high tech company around that timeframe that actually had a major outage in their email system. And email was not perceived to be at the time, ultra mission critical application for them. I know it seems strange in this day and age, but back then it was considered sort of an afterthought and they had a four hour SLA in case something went down where, hey, if we're down for four hours, we get it back and four hours, we're fine. And so, IT thought, they were doing a great job, 'cause they got it back in less than four. It was about three point something. And it turned out that the real impact of the business was so overwhelming, they had to completely overhaul the IT infrastructure that they've put in place to deliver that. So, it's an interesting issue, and it's the kind of thing where, as a result, I believe that as we sit here today in 2020, the disconnect in the U.S still exists. If you look across Europe, you tend to find a lot of deployments of active-active. The first country that probably did a ton of it was Germany, and then, lot of the other European countries did as well. For a multitude of reasons, you tend to see a lot of active-active deployments in Europe, but you don't see anywhere near as many as if I could be so bold, we probably should be seeing in the U.S, and I believe a major contributing factor to that is that there is still this disconnect, between business executives having a false sense of security that is unfounded by the infrastructures that they have in place. And if they were to ask their IT people, and maybe that's a good idea for them to talk more, they'd probably find that they're more exposed than they ever realized. >> Right. And of course in Europe, you've got, much tighter proximity, and you're up against borders of a 200 mile or a 200 kilometer roll, governments have tried to impose here, really can't be imposed in a lot of cases. Okay. Let's get into what you guys are doing here in the space. So, Doc, how do you approach ensuring access to mission critical data? What's INFINIDAT's angle? >> Yeah, I think it's several different layers that need to be applied here. The first INFINIDAT angle starts with the fact that our storage is a hundred percent data availability guarantee. It's simple enough. It's triple redundant architecture, seven nines reliability design, which equates to 3.16 seconds per year of downtime, which is less than a scuzzy time (laughs) I bet you know. Let's start with just, right, forget the nonsense, the system's are a hundred percent available guaranteed. We put some teeth behind that, and that's a great way to start. It's not necessarily going to fundamentally protect your data from site outages and network outages and server outages and things like that, so, let's be fed up and can go to in active-active infrastructure. And now you can take the system and put it either elsewhere behind a firewall on the same data center floor, or in a metropolitan area. Wherever you need it to be, separate power zones, separate networks zones, make it even more available. And then if you really want to go that next level of protection because you're worried about regional outages and things of that nature, multisite replication. But now it's up the ante even further. Let's look at the malicious intent, let's look at the data corruption. Let's look at all of the other possibilities of things that can happen to your data. So, implement snapshotting technology, in this snapshot technology, and InfiniBox is essentially free. There's no cost for the software, there is no performance impact because it's part of metadata updates that are happening all the time anyway. So, there's zero additional overhead of that. There's no additional, there's no copying of data going on with a snapshot, so there's no additional cost penalty associated with it. And you can snapshot this frequently for a Snapshot any of your data frequently to protect against data corruption. And if you're worried about some sort of malicious aspect, that's going to engage and perhaps gain access to the snapshots, we have immutable technology, and that is also free. It's there, it doesn't cost you anything other than the time it takes for the administrator to determine what the policy is. And now that can not be modified. It can't be deleted, it can't be modified, it can't be updated, can't be written to your inside whatever the polyp the defined policy is. So, now you're protected, you're a hundred percent availability, increase data hundred percent availability with active-active, and then increase your RPO capability with dissonance and protect yourself against data corruption with immutable snapshots. Or some combination of standard snapshots and immutable snapshots. >> Yeah, so, I was going to ask Ken, if this is a cost effective approach, but, I mean, it's free, it comes in the stuff. >> That is the key word, and you both just said it. Standard and included functionality all based on that great snapshot technology, which was the foundation for it that Doc described. Active-active, standard and included, the ability to go to a third site for disaster recovery at the industry's lowest asynchronous RPO with a remote site. Standard and included, immutable snaps, standard and included. So, compared to traditional views of what most people had back to our illustrious triangle earlier of RPO versus RTO versus cost, you're still going to have the additional cost of media and remote site for protecting your data, obviously, but in terms of software license costs, we're making it simpler, we're making it easier, we're making it standard and included, and we're just making it so much more readily available for organizations to be able to achieve superior RTO and RPO at a cost point that maybe certainly is a little bit higher than just having that single system that Doc alluded to, it's still a hundred percent available, but it's way below what the expectations of this industry have been over the last 20 years. >> Yeah, which is double, triple, I mean easily. Well, can I understand you for a second. You've worked for a lot of different storage companies, Doc you as well, but how different is this? How unique is this? >> There are surprisingly few vendors that can offer true zero RPO at two zero RTO. There's really only a handful. We're one of them. And by handful, I mean about three in the industry, including ourselves, and where I think we differentiate is fundamentally to a lot of those points we just mentioned. The software standard and included so we're not going to charge you extra for it. It's going to be relatively simple to deploy and integrate a stock alluded to earlier with server cluster software and the key components that people would use there in terms of databases and in terms of operating systems. And it's fundamentally going to be able to offer not just that zero RPO, zero RTO active-active environment, but if you do, and when you do need to go to a third site at distance for the true disaster recovery, if you ever lost a metropolitan area, we're going to be able to do it at an RPO that is lower than anything else on the market. >> Doc, are there complexities associated with doing this at petabyte scale? I mean, you guys make a big deal out of that, and you're clearly excited about it, but, is it extra hard to do at that kind of volume at scale? >> I'm going to give you two answers, and say, yes, it's incredibly difficult to do, but then I'm going to say it's incredibly easy for the customer to do because we've made it easy. There a lot of ramifications to doing things at petabyte scale. There's the size of the caching cables that you don't have to worry about. There's the numbers of things that need to be checked, and counter checked and constantly crosscheck for validity. There's also the scale of things that happen like silent data corruption that need to be factored in. All of those things are being done by InfiniBox, on a constant basis with no impact to the customer, no impact to the administrator, no impact to the running application. And I think that's a frankly, another differentiator as well. Ken and I have some common history as well. (chuckles) Used to constantly talk about internally, what happens as things get larger, systems slow down. That simply doesn't happen with InfiniBox. And that's why service providers use us as well. Cloud service providers managed service providers are some of our biggest customers. Because they know they can have these large scale systems running with all these different workloads, all these different functions, be they snapshots, clones, whatever they are, with no impact and very easy and rapid to deploy. >> Yeah, I set up top, you got to be storage hardos to make this stuff work. (laughs) It's very complicated and we've seen it for years and years. Last question. Again, huge changes in the last 150 days where people are just really tuned in to things like digital transformation, I talked about security, business resiliency, business continuity. Where... I'll start with you Ken, how should users be thinking about this? What steps should they be taking like now? >> What a great question. And back to sort of where we started, because of the nature of how things have changed, more applications are mission critical than they've ever been before. And providing, and always on infrastructure to make sure that you can give your users and your customers and your business, the opportunity to stay alive in the face of just about anything that could happen has never been more important in the history of this industry. >> Doc, I'll give you the final word, you can pile on that. >> I think Ken summed it up really well, but I'm going to take a different twist on it. It's all about de-risking, and a lot of the CIOs and CTOs of companies that I've been talking to over the course of the past couple of months, have basically said, hey, my digital transformation initiatives are on hold right now because I've got to keep the lights on, I've got to keep my business running. In some cases, maybe I've had to sadly pare down my staff, but I've got, remote workers have got to worry about. So, find a partner that's going to de-risk your infrastructure for you. Take a look at some of the things that we've announced in the past few months as well. We'll take a lot of that risk way, not only from the availability perspective, but we're going to take the risk away from a cost perspective. If you want to talk about INFINIDAT, don't worry about things like, how am I going to migrate over to it? We're going to do that for you. We're going to work with you, we're going to come up with a plan, we're going to make as much of it non-disruptive as we can, and we're going to assume the cost of doing it. We're going to take away all the risk of availability. We just talked about all of that. We're going to give you guarantees, that are a hundred percent availability. We'll help you architect the right solution for you and we'll protect you moving forward. You might need some flex area of capacity as you work through some of these new applications and new initiatives, so, you've got to be willing to take the risk away with our elastic pricing models. Use the storage when you need it, return it when you don't, and you don't have to pay for it anymore. We'll make it that simple for you. We'll give you that cloud operating paradigm on premises, and by the way, no egress costs. (Dave laughs) >> Well, this is a hard problem for people because they've had to do the work from home pivot, IT people, specifically, I mean, they've had to spend to shore up that infrastructure and of course, organizations just saying, well, we're going to pull from other places, but, look, if you're not digital today, you're not being able to transact business. And so, you can't relax your business continuity plans, in fact, you have to evolve them. Guys, thanks very much for sharing your perspectives and insights on this whole notion of de-risking infrastructure with business continuity. Thanks for coming on. >> Thank you, Dave. >> Dave, is always a pleasure. Thank you. >> Cheers, and thank you everybody for watching, this is Dave Vallante for theCube, and we'll see you next time. (upbeat music)

>>Live from Denver, Colorado. It's the cube covering comm vault. Go 2019 brought to you by. >>Hey, welcome back to the cube Lisa Martin with Steven and Amanda. We are covering combo go 19 in Colorado day two of our coverage and we're excited to welcome a successful comm vault customer to the cube. We have from the main stage this morning, Matthew mag meet data center, director of Sonic healthcare. Matthew, welcome. Thank you for having me. This is so exciting. Oh good. We're excited to have you. So you got to, you are, you're, as your pen says, a combo customer champion. >>I am a customer champion a, I've kind of prided myself on that for the last few years. Uh, I like to get involved in the community and kind of help the other newcomers to come volt as well. As better my understanding and try to give the guys on the other end of the support line and break. >>So before we dig into Sonic and what you guys are doing and how you're working with combo, give our audience an overview of Sonic healthcare, what you guys do, where you're based, all that good background stuff. Okay. >>So I worked for a Sonic healthcare USA, so that's obviously in the United States. Uh, we are an anatomical and clinical pathology laboratory company. Um, we are based, uh, West coast central and East coast of the United States and we work with hospitals, doctor's office to provide, you know, quick and reliable laboratory results. >>So this is patient data. Yes. We think of, we think of data as I'm sure you do as well. It's the lifeblood. It's the new oil. It's all the things, right? That you hear the new bacon. It's the new bacon is that was like your quote? I saw that combo last year. >>Yeah, they had, they had teachers last year with that data. Yeah. Data is the new bacon. >>Well it's, it's critical, you know, regardless of if you're for Kim comparing it to bacon, I do like that. But it's also, there's the proliferation of it is hard to manage. Tell us a little bit about the it environment at Sonic. You guys have been using combo for about four years, but give us an overview of what you were working with before and how, what may be some of the compelling events were. >>So coming on board with Sonic, uh, the combo rollout was relatively new. We didn't, I didn't really come into a preexisting environment. It was like, okay, this is, this is what we're going to use. I need you to learn it and run with it, make sure that it works. Right. And um, you know, coming from other companies that had different software applications, I was always in charge of the disaster recovery. That's always been kind of like a, a beating heart for me. >>You're the Dr. Guy. It is apparently, >>it's really hard to find someone who's excited about backups. So I've put, it's like, yes, please take it. So I'm coming in and being able to mold this application to kind of how I wanted it was a little like touch and go at first because we had people out of our, um, overseas office that were, uh, handling already and is, they kind of set the stage of how they wanted it to go. But, you know, things change. We've got to kind of move things as we go, but I kind of owe a lot to them to kind of really introducing me to combo. >> So Matthew, one of the things that we've really enjoyed talking about at this show is everybody's ready. They're born ready, they know what they're doing, what it's preparing for when things do fail. So you talked a little bit on stage about some of those times when things fail and how today you're able to be here and you're, the other person in the D R group is here and you don't have to worry about walking away from the office and you know, having, you know, I guess not a Pedro anymore, but getting that call. >>Yeah, they need to be there. So my cell phone. But yeah, so bring us through some of those, you know, failure scenarios. We are always trying different things. You know, combo does offer a wide array of different solutions they have for plans and one of them is their active directory plan. And I'm leaning towards this cause this is my most recent failure is, you know, we were just, I've always had issues with active directory testing. The fail over and my first attempt at it was a failure. But I learned so much off the bat that I'm actually comfortable now that there might be a few tweaks that we have to do. By worst case scenario, we'd definitely be able to get it back online without any issue. But if we would've gone into it without testing, without that failure, who knows what could have happened. It could've been just a resume generating event, you know? >>Well, so you, you Stu alluded to it and what you mentioned in the keynote was, Hey, my other only other Dr. Guy is here in the audience. So I actually, I have >>team a data center team and we're all in charge. It's eight, eight people and we're, we're in charge of the disaster recovery. But, uh, the old gentleman who's with me is the only other one who's, uh, uh, done a lot of the combo training. He comes to Kai, he's been to all three combos, goes with me and uh, he's, he's probably the, if I'm not around, he's the next in line to take that. So if there's a major issue it would be one of us that they would contact by. We're both here >> and you're both here. Well that actually speaks volumes. It does. And we're comfortable and you know, we've been checking email for things but you know, everything's smooth sailing so far. >>I think I saw a quote from you, I think it was in a video where you said before it was like having a newborn. >>Absolutely, absolutely. I used to check like sign in. It's like 10 o'clock every single night for the first year that I worked for sign cause I was petrified cause you know, I knew that I was backing stuff up but I don't know, was it still running with it still being backed up? Did it pause? Was it causing performance issues on the other end? There were so many what ifs and I just, I was, I was a mess. I was a nervous wreck constantly, you know, working till one or two in the morning and then go to bed and then eagerly get up and start checking stuff even before I left the house, you know? And I'm like, Oh, okay, that's finished. But now it's like, yeah, I know I finished not worried about Matthew. I think back to early in my career it was the dreaded backup window is, you know, when am I going to be able to get that in there? >>Can I finish the backup in the window that I have? And we've mostly gotten beyond that. But you know, there's so many new now we were just talking with Sandy Hamilton who was on stage before you about some of that automation. Really great automation sounds good, but there's gotta be a little bit of fear. It's like shit, you know, talking about like texting, I said like we've all texted the wrong thing or the wrong person or you had the wrong person. So tell us your thoughts about how automation is impacting your world and how calm voltage. >> I actually have very little automation workflow running through comm vault right now. A lot of the stuff that we do automation wise lies on the VMware side. Um, so that's, that's been good. I haven't really implemented a lot just because I personally am not comfortable with it yet. >>I'm not against it. It's just something that I haven't really trained myself enough to say I'm going to leave and let this run by itself. I'm still like, Oh no, this could be better. This could be better. This can be better. So until I'm 100% comfortable with that, I think we'll just leave it at a semiautomated task of just, sorry, you said something down the road that you're absolutely even even sitting in keynote yesterday and listening about the Alexa automation and SMS tax, I like writing in a piece of paper to test that because it's something that I've always wanted and ever since combo go last year when they were using Alexa to check SLA and RPO and RTO, I'm like, I want to be able to do that. So that's definitely down the road, but it's on the back burner right now. >>So give us a landscape view distributed organization. You talked about your base in the U S but all of the different clinics and organizations that you work with, are you living in this multi-cloud world? >>So, uh, we are pretty much zero cloud initiative company. Yeah. I'm actually trying to work on a slogan, Oh no, cloud zero cloud and proud or something like that. But I'm not 100% sure. It's definitely not out of the question. But with FedRAMP co compliancy and HIPAA, there's just a lot of regulation between the data that we have for the U S that transmits back and forth, let's say Australia or Ireland or something like that. There's certain regulations that we have to deal with and uh, in the cloud there's, there's very few options of where you can actually have those servers. So it's right now, you know, on prem is kind of, it's kind of our jam. >>So as a lot of organizations are going through FedRAMP certification, I was just at one of Dell's events the other week. They're going through it. I know some other like e-signature companies are doing, a lot of companies are, are you paying attention to that? Is that something that you think in the future might provide more confidence? >>Completely transparent. It's something I should be paying more attention to that I'm, I've just, I really haven't really done as much research as I should have and you know, I take full responsibility for that. But at the same time, you know, there's, there's a lot of other things going on in the U S that until we implement something of that nature, I don't really think that I'm really too concerned about it. So Matthew, you've been to a few of these events. Last one, last year there was a lot of talk about the coming change in this year. Lot of new faces, new Hedvig metallic. Yeah. So what we'll want to get your impression on the executive changes, some of the, you know, are you seeing any indications of organizational changes and the products? What I'm seeing is I'm seeing new life to a product that I've always been told is a dinosaur, which I kind of laugh cause I'm like, well if this dinosaur is doing things that, you know, the greatest and latest and greatest things aren't or aren't really doing. So to see this new life, the new rebranding of the logo, the new leadership, the new acquisitions and everything is just like feeding fuel to the fire. That is combo. And, and I'm, I'm pretty excited. I will say that I'm a little bit more excited about the new additions to like orchestrate and activate since stuff like metallic. I won't really be implementing just because of our business practices. But yeah. >>Let's talk about in our last few minutes here, cause they actually talked about some of the new technologies with orchestrate activate yesterday and today, but in terms of support we just had as to mention, we just interviewed Sandy Hamilton and she's come on board in the last, I think she said four and a half months. Owning professional services systems, engineering support, customer success throughout the entire life cycle. Tell us a little bit in, in our closing minute or so about the support and training that you've gotten from combat that give you the confidence for you and one of your other guys to be here and not tied to your phone. >>I don't think I'd still be with combo if it wasn't for their support. I, I owe so much to their support. They've brought me through some pretty dark times with deployment, with troubleshooting, with failures where I thought that I had things right and it just didn't work. I've called in at one in the morning, got great support, I've caught any 10 in the morning and got great support, phenomenal follow up. Um, their, their community impact, like their forums and their customer champion. So much. Just additional information that helps you not have to call in and not make you feel like that, Oh, that failure. So I owe a lot to their support and their training because without a, like I wouldn't be, I wouldn't be on stage. I'm, I'm wonder if you could put a point on that, the, the forums in your participation as a customer champion, you're spending your own time, you're working with your PBM. >>Why is that so important and how is this the vibrancy of this community, you know, it belongs to the worlds, you know, naming the things that you learn. Somebody taught me, so why shouldn't I teach somebody else? And if that makes someone else be able to go out and ride mountain bikes or cook with their daughter or do anything like that, then I'm all for it because it got me, it got me through all that. So I mean I have 10 15 minutes on the customer forum to answer you. Oh yeah, I know that. I've seen that. I had a gentleman the first morning at breakfast, like I've had a ticket open for two weeks and they can't figure it out. And we worked together and actually got his problem solved, you know? And it was like the only reason is because I've seen that and I worked with combat and they showed me how to fix it and I retain that knowledge. >>That's awesome. DOE takes paying it forward to a whole new level. And it also volumes about how you followed Jimmy chin this morning and nailed it. I tried. It was very difficult, you know, I'm sure that you know why he was filming that solo climber. He was sweaty palms. I was definitely sweaty phone calls. It was, well, Matthew, what a pleasure to have you on the program. So much fun. Thank you. Congratulations on your success and we look forward to hearing it. Many more great things out of Sonic. Thank you. All right. First to a minimum I and Lisa Martin, you're watching the cube from combo go 19.

>> Hi, I'm Peter Burroughs. And welcome to another cube conversation. This one is part of a very, very special digital community event sponsored by day trip. What we're going to be talking about today. Well, date comes here with a special product announcement that's intended to help customers do a better job of matching their technology needs with the speed and opportunities to use their data differently within their business. This is a problem that every single customer faces every single enterprise faces, and it's one that's become especially acute as those digital natives increasingly hunt down and take out some of those traditional businesses that are trying to better understand how to use their data. Now, as we have with all digital community events at the end of this one, we're gonna be running a crowd chat, so stay with us, will go through a couple of day trim and datum customer conversations, and then it'LL be your turn toe. Weigh in on what you think is important. Ask the questions of Data Room and others in the community that you think need to be addressed. Let's hear what you have to say about this increasingly special relationship between data technology and storage services. So without further ado, let's get it kicked off. Tim Page is the CEO of Datum. Tim, Welcome to the Cube. Thank you, Peter. So data give us a quick take on where you guys are. >> Yeah, Day tree ums formulated as a software to find converged infrastructure company that takes that converges to the next level. And the purpose of us is to give the user the same experience, whether you're working on Prem or across multi cloud. >> Great. So let's start by saying, that's the vision, but you've been talking a lot of customers. What's the problem that you keep hearing over and over that you're pointing towards? >> Yeah, it's funny. So it's so meet with the number CEOs over the years and specifically is related to a tree, and they'LL tell you they were on an on demand economy that expects instant outcomes, which means you have to digitally transform. And to do that, you've got to transform it, which means it's got to be easy. It's got to be consistent. You've got to get rid of a lot of the management issues, and it's got a feel and take advantage of the services that cloud has to offer. >> All right, so that's the nature of the problem. You've also done a fair amount of research looking into the specifics of what they're asking for. Give us some insight into what day terms discovering as you talk to customers about what the solutions are going to look like. >> It's interesting. So if you look at how to resolve that, you've got to conf urged to transform in some form or fashion. If you look at the first level of convergence a lot of people have done, it's been directly as relates the hardware architecture. We've taken that to a whole new level until Point were saying, How do you actually automate those mundane task that take multiple groups to solve specifically primary backup disaster recovery? All the policies involved in that is a lot of work that goes into that across multiple groups, and we set out to solve those issues, >> so there's still a need for performance. There's still the need for capacity to reduce management time and overhead etcetera. But Tim, as we move forward, how our customers responding this you're getting some sense of what percentage of them are going, Teo say Yeah, that's it >> s so interesting. So we could start a survey and got over five hundred people leaders to respond to it. It's interesting is they talk about performance management security, but they're also talking about consistency of that experience. And specifically, we asked how many of you is important to have your platform have built in backup and policy services with encryption built in et cetera. We got a seventy percent rate of those applicants of those those people interviewed saying is really important for that to be part of a plan. >> So it sounds like you're really talking about something Mohr than just a couple of products. You really talking about forcing customers or you're not forcing. Customers are starting the process of rethinking your data infrastructure, and I got that right. >> That's right. If you look at how infrastructure is grown in the last twenty years, right? Twenty years ago, san technology was related, and every time you throw open app, you had to put different policies that Apple put different one tight management to how much of my resources and go to certain things. We set out to actually automate that which is why it took us four years. To build this platform with a hundred programmers is, Well, how do we actually make you not think about how you're going to back up? How do you set a policy and no disaster recovery is going to run? And to do that, you've gotta have it one code base and we know we're on to something, even based on our survey, because the old array vendors are all buying Bolton's because they know users want an experience. But you can't have that experience with the ball time. You have to have it your fundamental platform. >> Well, let me let me step in here. So I've been around for a long time him and heard a lot of people talk about platforms. And if I have kind of one rule companies and introduce platforms that just expand, typically failed companies that bring an opinion and converge more things so it's simpler tend to be more successful. Which direction's date >> going? So we definitely That's why we took time, right? If you want to be an enterprise class company, you can't build a cheap platform in eighteen months and hit the market because were you, architect, you stay. So our purpose from the beginning was purposefully to spend four years building an enterprise clap platform that did away with a lot of the mundane task seeing management That's twenty years old. Technology right? One management. So if you're buying your multi cloud type technology experience in cages, you're just buying old stuff. We took an approach saying, We want that consistent approach that whether you're running your services on from or in any type of cloud, you could instantly take advantage of that, and it feels the same. That's a big task because you're looking to run the speed of storage with the resiliency of backup right, which is a whole different type of technology. Which is how our founders, who have built the first words in this went to the second, almost third version of that type of oven. Stan she ation of a platform. >> All right, so we know what the solution is going to look like. It's going to look like a data platform that's rethought to support the needs of data assets and introduces a set of converge services that really focus the value proposition to what the enterprise needs So what do you guys announcing? >> That's exactly right. So we've finalized what we call our auto matrix platform. So auto matrix in inherently In it we'LL have primary backup Disaster recovery D Our solution All the policies within that an encryption built in from the very beginning. Soto have those five things we believe toe actually have on the next generation experience across true multi cloud. You're not bolting on hardware technologies. You're bolting on software technologies that operate in the same manner. Those five things have to be an errand or you're a bolt on type company. >> So you're not building a platform out by acquisition. You build a platform out by architecture and development. >> That's right. And we took four years to do it with one hundred guys building this thing out. It's released, it's out and it's ready to go. So our first we're announcing is that first in Stan she ation of that as a product we're calling control shift, which is really a data mobility orchestrator. True sas based you could orchestrate from the prime from the cloud cloud to cloud, and our first generation of that is disaster recovery so truly to be able to set up your policies, check those policies and make sure you're going to have true disaster recovery with an Rto zero. It's a tough thing we've done it. >> That's upstanding. Great to hear Tim Page, CEO Data Room, talking about some of the announcement that were here more about in the second. Let's now turn our attention, Teo. A short video. Let's hear more about it. >> The bank is focused on small businesses and helping them achieve their success. We want to redesign the customer engagement in defining the bank of the future. This office is our first implementation of that concept, as you can see is a much more open floor plan design that increases the interaction between our lead bank associates and our clients with day tree and split provisioning. Oliver Data is now on the host, so we have seen eighty times lower application. Leighton. See, this gives our associates instant responses to their queries so they can answer client questions in real time. That time is always expensive in our business. In the past we had a forty eight hour recovery plan, but with the atrium we were able to far exceed that plan we've been able to recover systems in minutes now instead of backing at once per day with that backup time taking eighteen hours. Now we're doing full system snapshots our league, and we're replicating those offsite stay trim is the only vendor I know of that could provide this end to end encryption. So any cyber attacks that get into our system are neutralized with the data absolution. We don't have to have storage consultants anymore. We don't have to be stored. Experts were able to manage everything from a storage perceptive through the center, obviously spending less time and money on infrastructure. We continue to leverage new technologies to improve application performance and lower costs. We also want to animate RDR fail over. So we're looking forward to implementing daydreams. Product deloused orchestrate an automaton. RDR fell over process. >> It is always great to hear from a customer. Want to get on Peterborough's? This's a Cube conversation, part of a digital community event sponsored by Data Room. We were talking about how the relationship between the new digital business outcomes highly dependent upon data and the mismatch of technology to be able to support those new classes of outcomes is causing problems in so many different enterprises. So let's dig a little bit more deeply into someone. Tatum's announcements to try to find ways to close those gaps. We've got his already who's the CTO of data on with today, says all are welcome to the Cube, >> that being a good to see you again. >> So automate tricks give us a little bit more toe tail and how it's creating value for customers. >> So if you go to any data center today, you notice that for the amount of data they have their five different vendors and five different parts to manage the data. There is the primary storage. There is the backup on DH. There is the D R. And then there's mobility. And then there is the security or think about so this five different products, our kind of causing friction for you if you want to move, if you want to be in the undermanned economy and move fast in your business, these things are causing friction. You cannot move that fast. And so what we have done is that we took. We took a step back and built this automatics platform. It's provides this data services. We shall kind of quality that autonomous data services. The idea is that you don't have to really do much for it by converging all this functions into one simple platform that we let him with all the friction you need to manage all your data. And that's kind of what we call auto metrics that >> platform. So as a consequence, I gotta believe, Then your customers are discovering that not only is it simpler, easy to use perhaps a little bit less expertise required, but they also are more likely to be operationally successful with some of the core functions like D are that they have to work with. >> Yeah, So the other thing about these five five grandpre functions and products you need is that if you want to imagine a future, where you going, you know, leverage the cloud For a simple thing like the R, for example, the thing is that if you want to move this data to a different place with five different products, how does it move? Because, you know, all these five products must move together to some of the place. That's not how it's gonna operate for you. So by having these five different functions converge into one platform is that when the data moves between the other place, the functions move with it giving the same exist same exact, consistent view for your data. That's kind of what we were built. And on top of all the stuff is something we have this global data management applications to control the all the data you have your enterprise. >> So how are customers responding to this new architecture of autumn matrix converge services and a platform for building data applications? >> Yeah, so our customers consistently Teyla's one simple thing is that it's the most easiest platform there ever used in their entire enterprise life. So that's what we do aimed for simplicity for the customer experience. Autonomous data services give you exactly that experience. So as an example, last quarter we had about forty proof of concept sort in the field out of them, about thirty of adopted already, and we're waiting for the ten of the results to come out this quarter. So generally we found that a proof of concept don't come back because once you touch it, experience simplicity offered and how how do you get all this service is simple, then people don't tend to descend it back. They like to keep it and could have operated that way. >> So you mentioned earlier, and I kind of summarizing notion of applications, Data services, applications tell us a little bit about those and how they really toward a matrix. >> Right? So once you have data in multiple places, people have not up not a cloud. And we're going to also being all these different clouds and report that uniform experience you need this date. You need this global data management applications to extract value out off your data. And that's kind of the reason why we built some global data management applications. I SAS products, I think, install nothing to manage them. Then they sit outside and then they help you manage globally. All the data you have. >> So as a result, the I and O people, the destruction operations administrators, I can think of terms of automata whose platform the rest of the business could look at in terms of services and applications that through using and support, >> that's exactly right. So you get the single dashboard to manage all the data. You have an enterprise >> now I know you're introducing some of these applications today. Can you give us a little peek into? Yeah. >> Firstly, our automatics platform is a soft is available on prime as a software defined converge infrastructure, and you can get that we call it D V X. And then we also offer in the cloud our services. It's called Cloud Devi Ex. You could get these and we're also about kind off announcing the release ofthe control shift. It's over for one of our first date. Imagine applications, which kind of helps you manage data in a two different locations. >> So go over more specific and detail in the control shift. Specifically is which of those five data services you talk about is control shift most clearly associating with >> right. So if you go toe again back to this question about like five different services, if you have to think about B r o D. R. Is a necessity for every business, it's official protection. You need it. But the challenge is that you know that three four challenges you gently round into the most common people talk about is that one is that you have a plan. You'LL have a proper plan. It's challenging to plan something, and then you think about the fire drill. We have to run when there's a problem. And then last leaving actually pushed the button. Tofail over doesn't really work for you. Like how fast is it going to come up? So those three problems we can have one to solve really like really solidly So we call our service is a dear services fail proof tr that's actually takes a little courage to say fail proof. So control shift is our service, which actually does this. The orchestration does mobility across the two different places from could be on prime time on Prem on prompted the cloud. And because we have this into end data services ourselves, the it's easy to then to compliance checks all the time so we could do compliance checks every few minutes. So what that gives you that? Is that the confidence that that your dear plan's going to work for you when you need it? And then secondly, when you push the button because you also prime restoration back up, it's then easy to bring upon your services at once like that, and the last one is that because we are able to then work across the clouds and pride, the seamless experience. So when you move the data to the cloud, have some backups there. When you push a button to fail over, we'LL bring up your services in via MacLeod so that the idea is that it look exactly the same no matter where you are in the D. R or North India and then, you know, you watch the video, watch the demos. I think they look and see that you can tell the difference. >> Well, that's great. So give us a little bit of visibility into how day Truman intends to extend these capabilities, which give us a little visibility in the road map. Next. >> So we are already on Amazon with the cloud. The next time you're gonna be delivering his azure, that's the next step. But But if I step back a little bit and how do we think about our ourselves? Like if you look at his example Google, Google, you know, fairies, all the data and Internet data and prizes that instant search for that instant like an access to all the data you know, at your finger finger tips. So we wanted something similar for enterprise data. How do we Federated? How do we aggregate data and the property? The customer, the instant management they can get from all the data. They have already extract value from the data. So those things are set off application We're building towards organic scum. Examples are we're building, like, deep search. How do you find the things you want to find? You know, I've been a very nice into to weigh. And how do you do Compliance? GPR. And also, how do you think about you know, some dependent addicts on the data? And so we also extend our control shift not to just manage the data on all platforms. Brawls hardly manage data across different platforms. So those kind of things they're thinking about as a future >> excellent stuff is already CTO daydream. Thanks very much for talking to us about auto matrix control shift and the direction that you're taking with this very, very extreme new vision about data on business come more easily be bought together. So, you know, I'll tell you what. Let's take a look at a demo >> in today's enterprise data centers. You want a simple way to deal with your data, whether in the private or public cloud, and ensure that dealing with disaster recovery is easy to set up. Always complied and in sync with the sites they address and ready to run as the situations require built on consistent backups, allowing you to leverage any current or previous recovery point in time with near zero rto as the data does not have to be moved in order to use it. Automated orchestration lets you easily test or execute recovery plans you have constructed with greater confidence, all while monitoring actions and progress from essential resource. This, along with maintaining comprehensive run books of these actions, automatically from the orchestration framework. Managing your Systems Day Tree in autumn matrix provides this solution. Run on local host flash and get the benefits of better performance and lower. Leighton sees back up and protect your data on the same converged platform without extracting it to another system while securing the data in your enterprise with end and encryption automating salas desired for your business needs with policy driven methods. The capture the what, when and where aspects of protecting your data, keeping copies locally or at other sites efficiently Move the data from one location to another weather in your private or public cloud. This is the power of the software defined converged infrastructure with cloudy are from day tree, um, that we call Oughta Matrix. >> Hi. And welcome back to another cube conversation once again on Peter Births. And one of the biggest challenges that every user faces is How did they get Mohr out of their technology suppliers, especially during periods of significant transformation? Soto have that conversation. We've got Brian Bond, who's the director of infrastructure? The meter A seaman's business. Brian, welcome to the Cube. >> Thanks for having me. >> So tell us a little about the meteor and what you do there. >> So E Meter is a developer and supplier of smart grid infrastructure software for enterprise level clients. Utilities, water, power, energy and, ah, my team was charged with managing infrastructure for that entire business units. Everything from Deb Test Q and sales. >> Well, the you know, the intelligent infrastructure as it pertains to electronica rid. That's not a small set of applications of small city use cases. What kinds of pressure is that putting on your infrastructure >> A lot of it is the typical pressures that you would see with do more with less doom or faster. But a lot of it is wrapped around our customers and our our other end users in needing more storage, needing Mohr at performance and needing things delivered faster on a daily basis. Things change, and keeping up with the Joneses gets harder and harder to do as time moves on. >> So as you think about day trims Auto Matrix. How is it creating value for you today? Give us kind of, Ah, peek into what it's doing to alleviate some of these scaling and older and researcher pressures, >> So the first thing it does is it does allow us to do a lot more with less. We get two times the performance five times the capacity, and we spend zero time managing our storage infrastructure. And when I say zero time I mean zero time, we do not manage storage anymore. With the data in product, we can deploy thanks faster. We can recover things faster are Rto and R R P. O matrix is down two seconds instead of minutes or hours, and those types of things really allow us to provide, Ah much better level of service to our customers. >> And it's especially critical. Infrastructure like electronic grid is good to hear. That the Rto Harpo is getting is close to zero as possible. But that's the baseline today. Look out and is you and vision where the needs of these technologies are going for improving protection, consolidating converging gated services and overall, providing a better experience from a business uses data. How do you anticipate that you're goingto evolve your use of autumn matrix and related data from technologies? >> Well, we fully intend to to expand our use of the existing piece that we have. But then this new autumn matrix piece is going to help us, not witches deployments. But it's also going to help us with compliance testing, data recovery, disaster recovery, um, and also being able to deploy into any type of cloud or any type of location without having to change what we do in the back in being able to use one tool across the entire set of the infrastructure they were using. >> So what about the tool set? You're using the whole thing consistently, but what about the tool set when in easiest for you within your shop, >> installing the infrastructure pieces themselves in its entirety. We're very, very easy. So putting that into what we had already and where we were headed was very, very simple. We were able to do that on the fly in production and not have to do a whole lot of changes with the environments that were doing at the time. The the operational pieces within the D. V X, which is this the storage part of the platform were seamless as far as V Center and other tools that we're using went and allowed us to just extend what we were doing already and be able to just apply that as we went forward. And we immediately found that again, we just didn't manage storage anymore. And that wasn't something we were intending and that made our r I just go through the roof. >> So it sounds like time to value for the platform was reserved for quick and also it fit into your overall operational practices. So you have to do a whole bunch of unnatural acts to get >> right. We did not have to change a lot of policies. We didn't have to change a lot of procedures, a lot of sounds. We just shortened. We took a few steps out on a lot of cases. >> So how is it changing being able to do things like that, changing your conversation with your communities that you're serving a CZ? They asked for more stores where they ask for more capabilities. >> First off, it's making me say no, a lot less, and that makes them very, very happy. The answer usually is less. And then the answer to the question of how long will it take changes from? Oh, we can get that done in a couple of days or, oh, we can get that done in a couple hours to I did that while I was sitting here in the meeting with you, and it's it's been handled and you're off to the races. >> So it sounds like you're police in a pretty big bed and a true, uh, what's it like? Working with them is a company. >> It's been a great experience from from the start, in the initial piece of talking to them and going through the POC process. They were very helpful, very knowledgeable SCS on DH, and since then They've been very, very helpful in allowing us to tell them what our needs are, rather than them telling us what our needs are and going through and working through the new processes and the and the new procedures within our environments. They've been very instrumental and performance testing and deployment testing with things, uh, that a lot of other storage providers didn't have any interest in talking with us about so they've been very, very helpful with that and very, very knowledgeable people that air there are actually really smart, which is not surprising. But the fact that they can relay that into solutions to what my actual problems are and give me something that I can push forward on to my business and have ah, positive impact from Day one has been absolutely, without question, one of the better things. >> Well, it's always one of the big, biggest challenge when working with a company that just getting going is how do you get the smarts of that organization into the business outcomes that really succeeded? Sounds like it's working well. Absolutely. All right. Brian Bond, director Vital infrastructure demeanor, Seaman's business Thanks again for being on the Cube >> has been great >> on. Once again, this has been a cube conversation, and now what we'd like to do is don't forget this is your opportunity to participate in the crowd. Chat immediately after this video ends and let's hear your thoughts. What's important in your world is you think about new classes of data platforms, new rules of data, new approaches to taking great advantage of the data assets that air differentiating your business. Have those conversations make those comments? Asked those questions. We're here to help. Once again, Peter Bourjos, Let's go out yet.

(light music) >> Hi, I'm Peter Burris and welcome to another CUBE Conversation. This one is part of a very, very special digital community event sponsored by Datrium. What are we gonna be talking about today? Well, Datrium's here with a special product announcement that's intended to help customers do a better job at matching their technology needs with the speed and opportunities to use their data differently within their business. This is a problem that every single customer faces, every single enterprise faces and it's one that's become especially acute as those digital natives increasingly hunt down and take out some of those traditional businesses that are trying to better understand how to use their data. Now, as we have with all digital community events, at the end of this one, we're gonna be running a crowd chat, so stay with us. We'll go through a couple of Datrium and Datrium customer conversations and then it'll be your turn to weigh in on what you think is important, ask the questions of Datrium and others in the community that you think need to be addressed. Let's hear what you have to say about this increasingly special relationship between data, technology and storage services. So, without further ado, let's get it kicked off. Tim Page is the CEO of Datrium. Tim, welcome to theCUBE. >> Thank you, Peter. >> So, Datrium, give us a quick take on where you guys are. >> Yeah, Datrium's formulated as a software defined converged infrastructure company that takes that convergence to the next level, and the purpose of us is to give the user the same experience whether you're working on-prem or across multicloud. >> Great, so let's start by saying that's the vision, but you've been talking to a lot of customers. What's the problem that you keep hearing over and over that you're pointing towards? >> Yeah, it's funny, meeting with a number of CIOs over the years and specifically as related to Datrium, they'll tell you we're on an on-demand economy that expects instant outcomes, which means you have to digitally transform and to do that, you've gotta transform IT, which means it's gotta be easy, it's gotta be consistent. You've gotta get rid of a lot of the management issues and it's gotta feel or take advantage of the services that cloud has to offer. >> All right, so that's the nature of the problem. You've also done a fair amount of research looking into the specifics of what they're asking for. Give us some insight into what Datrium's discovering as you talk to customers about what the solutions are gonna look like. >> It's interesting, if you look at how to resolve that, you've gotta converge to transform in some form or fashion. If you look at the first level of convergence a lot of people have done, it's been directly as it relates to hardware architecture. We've taken that to a whole new level to a point where we're saying how do you actually automate those mundane tasks that take multiple groups to solve. Specifically, primary, backup, disaster recovery, all the policies involved in that. There's a lot of work that goes into that across multiple groups and we set out to solve those issues. >> So, there's still a need for performance, there's still the need for capacity, to reduce management time and overhead, et cetera, but, Tim, as we move forward, how are customers responding to this? Are you getting some sense of what percentage of them are going to say, yeah, that's it? >> Yeah, so interesting, we just ran a survey and got over 500 people, IT leaders to respond to it and it's interesting 'cause they talk about performance, management, security, but they're also talking about consistency of that experience. Specifically, we asked how many of you is it important to have your platform have built-in backup and policy services with encryption built-in, et cetera and we got a 70% rate of those applicants, of those people interviewed saying it's really important for that to be part of a platform. >> Now, it sounds like you're really talking about something more than just a couple of products. You're really talking about forcing customers or you're not forcing, but customers are starting the process of rethinking their data infrastructure. Have I got that right? >> That's right. If you look at how infrastructure's grown over the last 20 years, 20 years ago, SAN technology was related and every time you threw up an app, you had to put different policies to that app or put different LUN type management to how much of my resources can go to certain things. We set out to actually automate that, which is why it took us four years to build this platform with 100 programmers is, well, how do we actually make you not think about how you're gonna back up. How do you set a policy and know disaster recovery is gonna run? And to do that, you gotta have it in one code base. And we know we're on to something even based on our survey because the old array vendors are all buying bolt-ons because they know users want an experience, but you can't have that experience with a bolt-on. You have to have it in your fundamental platform. >> Well, let me step in here. I've been around for a long time, Tim and heard a lot of people talk about platforms and if I have one rule, companies that introduce platforms that just expand typically fail. Companies that bring an opinion and converge more things so it's simpler, tend to be more successful. Which direction is Datrium going? >> Yeah, definitely, that's why we took time. If you wanna be an enterprise class company, you can't build a cheap platform in 18 months and hit the market, 'cause where you architect, you stay. Our purpose from the beginning was purposefully to spend four years building an enterprise platform that did away with a lot of the mundane tasks, SAN management. That's 20 years old technology, LUN management. If you're buying your multi-cloud type technology experience in cages, you're just buying old stuff. We took an approach saying we want that consistent approach that whether you're running your services on prem or in any type of cloud, you could instantly take advantage of that and it feels the same. That's a big task 'cause you're looking to run the speed of storage with the resiliency of backup, which is a whole different type of technology, which is how our founders who have built the first version of this went to the second and almost third version of that type of instantiation of a platform. >> All right, so we know what the solution's gonna look like. It's gonna look like a data platform that's rethought to support the needs of data assets and introduces a set of converged services that really focus the value proposition to what the enterprise needs. So, what are you guys announcing? >> That's exactly right. So, we've finalized what we call our AutoMatrix platform. AutoMatrix inherently in it will have primary backup, disaster recovery, DR solution, all the policies within that and encryption built-in from the very beginning. To have those five things, we believe to actually have the next generation experience across true multicloud, you're not bolting on hardware technologies, you're bolting on software technologies that operate in the same manner. Those five things have to be inherent or you're a bolt-on type company. >> So, you're not building a platform out by acquisition. You're building a platform out by architecture and development. >> That's right and we took four years to do it with 100 guys building this thing out. It's released, it's out and it's ready to go. So our first we're announcing is that first instantiation of that is a product we're calling Control Shift, which is really a data mobility orchestrator, true SaaS based. You can orchestrate prem to prem, prem to cloud, cloud to cloud and our first iteration of that is disaster recovery. So, truly, to be able to set up your policies, check those policies and make sure you're gonna have true disaster recovery with an RTO of zero. It's a tough thing. We've done it. >> That's outstanding. Great to hear, Tim Page, CEO Datrium talking about some of the announcements that we're gonna hear more about in a second. Let's now turn our attention to a short video. Let's hear more about it. (light music) >> Lead Bank is focused on small businesses and helping them achieve their success. We want through and redesigned the customer engagement in defining the bank in the future. This office is our first implementation of that concept. As you can see, it's a much more open floor plan design that increases the interaction between our Lead Bank associates and our clients. With Datrium's split provisioning, all of our data is now on the host. So, we have seen 80 times lower application latency. This gives our associates instant responses to their queries, so they can answer client questions in real-time. Down time is always expensive in our business. In the past, we had a 48 hour recovery plan, but with Datrium, we were able to far exceed that plan. We've been able to recover systems in minutes now. Instead of backing up once per day, with that backup time taking 18 hours, now we're doing full system snapshots hourly and we're replicating those offsite. Datrium is the only vendor I know of that can provide this end-to-end encryption. So, any cyber attacks that get into our system are neutralized. With the Datrium solution, we don't have to have storage consultants anymore. We don't have to be storage experts. We're able to manage everything from a storage perspective through vCenter, obviously spending less time and money on infrastructure. We continue to leverage new technologies to improve application performance and lower costs. We also wanna automate our DR failover, so we're looking forward to implementing Datrium's product that'll allow us to orchestrate and automate our DR failover process. (light music) >> It is always great to hear from a customer. Once again, I'm Peter Burris, this a CUBE Conversation, part of a digital community event sponsored by Datrium. We've been talking about how the relationship between the new digital business outcomes highly dependent upon data and the mismatch of technology to be able to support those new classes of outcomes. It's causing problems in so many different enterprises. So, let's dig a little bit more deeply into some of Datrium's announcements to try to find ways to close those gaps. We've got Sazzala Reddy, who's the CTO of Datrium with us today. Sazzala, welcome to theCUBE. >> Hey Peter, good to see you again. >> So, AutoMatrix, give us a little bit more detail and how it's creating value for customers. >> Yeah, if you go to any data center today, you notice that for the amount of data they have, they have five different vendors and five different products to manage that data. There is the primary storage, there is the backup and there is the DR and then there's mobility and then there is the security you have to think about. So, these five different products are causing friction for you. If you wanna be in the on-demand economy and move fast in your business, these things are causing friction. You cannot move that fast. What we have done is we took a step back and we built this Automatrix platform. It has this data services which is gonna provide autonomous data services. The idea is that you don't have to do much for it. By converging all these functions into one simple platform will remove all the friction you need to manage all your data and that's what we call Automatrix platform. >> As a consequence, I gotta believe then, your customers are discovering that not only is it super easy to use, perhaps a little bit less expertise required, but they also are more likely to be operationally successful with some of the core functions like DR that they have to work with. >> Yeah, so the other thing about these five different functions and products you need is that if you wanna imagine a future where you're gonna leverage the cloud for a simple thing like DR for example, the thing is that if you wanna move this data to a different place, with five different products, how does it move? 'Cause all these five products must move together to some other place. That's not how it's gonna operate for you. So, by having these five different functions converged into one platform is that when the data moves to any other place, the functions move with it giving you the same exact consistent view for your data. That's what we have built and on top of all this stuff is something we have, this global data management applications to control all the data you have in your enterprise. >> So, how are customers responding to this new architecture of AutoMatrix, converged services and a platform for building data applications? >> Yeah, so our customers consistently tell us one simple thing is that it's the most easiest platform they ever used in their entire enterprise life. So, that's what we aimed for simplicity of the customer experience. Autonomous data services give you exactly that experience. So, as an example, last quarter, we had about 40 proof of concepts out in the field. Out of them, about 30 have adopted it already and we're waiting for the 10 of them for results to come out in this quarter. So, generally we found that our proof of concepts don't come back because once you touch it, you experience the simplicity of it and how you get all these service and support, then people don't tend to send it back. They like to keep it and operate it that way. >> So, you mentioned earlier and I summarized the notion of applications, data services applications. Tell us a little bit about those and how they relate to AutoMatrix. >> Right, so once you have data in multiple places, people are adopt multi-cloud and we are going to also be in all these different clouds and we provide that uniform experience, you need this global data management applications to extract value out of your data and that's the reason why we built some global data management applications as SAAS products. Nothing to install, nothing to manage them, then they sit outside and then they help you manage globally all the data you have. >> So, as a result, the I&O people, the infrastructure and operations administrators, do things in terms of AutoMatrix's platform, the rest of the business can look at it in terms of services and applications that you're using in support. >> That's exactly right, so you get the single dashboard to manage all the data you have in your enterprise. >> Now, I know you're introducing some of these applications today. Can you give us a little peek into those? >> Yeah, firstly, our AutoMatrix platform is available on prem as a software defined converged infrastructure and you can get that. We call it DVX. And then we also offer in the cloud our services. It's called Cloud DVX. You can get these. And we're also announcing the release of Control Shift. It's one of our first data management applications, which helps you manage data in two different locations. >> So, go a little bit more specific into or detail into Control Shift. Specifically, which of those five data services you talk about is Control Shift most clearly associated with? >> Right, so to go to again back to this question about if you have five different services, if you have to think about DR. DR is a necessity for every business. It's digital protection, you need it, but the challenge is that there are three or four challenges you generally run into with most common people talk about is that one is that you have to plan. You have to have a proper plan. It's challenging to plan something and then you have to think about the file drill we have to run when there's a problem. And then lastly, when you eventually push the button to fail over, does it really work for you. How fast is it gonna come up? Those are three problems we wanted to solve really solidly, so we call our services, our DR services as failproof DR. That's actually takes a little courage to say failproof. ControlShift is our service which actually does this DR orchestration. It does mobility across two different places. It could be on-prem to on-prem, on-prem to the cloud and because we have this end-to-end data services ourselves, it's easy to then do compliance checks all the time. So, we do compliance checks every few minutes. What that gives you, that gives you the confidence that your DR plan's gonna work for you when you need it. And then secondly, when you push the button because you want some primary storage and backup, it's then easy to bring up all your services at once like that. And the last one is that because we are able to then work across the clouds and provide a seamless experience, so when you move the data to the cloud and have some backups there, you're gonna push a button to fail over, we'll bring up your services in VMware cloud, so that the idea is that it look exactly the same no matter where you are, in DR or not in DR and then watch the video, watch some demos. I think that you can see that you can't tell the difference. >> Well, that's great, so give us a little bit of visibility into how Datrium intends to extend these capabilities, give us a little visibility on your road map. What's up next? >> We are already on Amazon with the cloud. The next thing we're gonna be delivering is Azure, that's the next step, but if you step back a little bit and how do we think about ourselves? If you look at as an example Google, Google federates all the data, the internet data and processes an instant search, provides that instant click and access to all the data at your fingertips. So, we wanna do something similar for enterprise data. How do we federate, how do we aggregate data and provide the customer that instant management they can get from all the data they have. How do you extract value from the data? These set of applications are building towards some examples are we're building deep search. How do you find the things you want to find in a very nice intuitive way? And how do you do compliance, GDPR and also how do you think about some deep analytics on your data? So, we also wanna extend our Control Shift not to just manage the data on our platform, but also to manage data across different platforms. So, those are the kind of things we're thinking about as a future. >> Excellent stuff. Sazzala Reddy, CTO of Datrium, thanks so much for talking with us about AutoMatrix, Control Shift and the direction that you're taking with this. Very, very interesting new vision about how data and business can more easily be brought together. You know, I'll tell you what, let's take a look at a demo. Hi and welcome back to another CUBE Conversation. Once again, I'm Peter Burris and one of the biggest challenges that every user faces is how do they get more out of their technology suppliers, especially during periods of significant transformation. So, to have that conversation, we've got Bryan Bond who is Director of IT Infrastructure at eMeter, A Siemens Business. Bryan, welcome to theCUBE. >> Thanks for having me. >> So, tell us a little bit about eMeter and what you do there. >> So, eMeter is a developer and supplier of smart grid infrastructure software for enterprise level clients, utilities, water, power, energy. My team is charged with managing infrastructure for that entire business units, everything from dev tests, QA and sales. >> Well, the intelligent infrastructure as it pertains to the electronic grid, that's not a small set of applications, a small set of use cases. What kinds of pressure is that putting on your IT infrastructure? >> A lot of it is the typical pressures that you would see with do more with less, do more faster. But a lot of it is wrapped around our customers and our other end users in needing more storage, needing more app performance and needing things delivered faster. On a daily basis, things change and keeping up with the Jones' gets harder and harder to do as time moves on. >> So, as you think about Datrium's AutoMatrix, how is it creating value for you today? Give us a peek into what it's doing to alleviate some of these scaling and other sorts of pressures. >> So, the first thing it does is it does allow us to do a lot more with less. We get two times the performance, five times the capacity and we spend zero time managing our storage infrastructure. And when I say zero time, I mean zero time. We do not manage storage anymore with the Datrium product. We can deploy things faster, we can recover things faster. Our RTO and our RPO matrix is down to seconds instead of minutes or hours. And those types of things really allow us to provide a much better level of service to our customers. >> And it's especially for infrastructure like the electronic grid, it's good to hear that the RTO, RPO is getting as close to zero as possible, but that's the baseline today. Look out and as you envision where the needs are of these technologies are going for improving protection, consolidating, converging data services and overall providing a better experience for how a business uses data, how do you anticipate that you're going to evolve your use of AutoMatrix and relate it to Datrium technologies? >> Well, we fully intend to expand our use of the existing piece that we have, but then this new AutoMatrix piece is going to help us not with just deployments, but it's also gonna help us with compliance testing, data recovery, disaster recovery and also being able to deploy into any type of cloud or any type of location without having to change what we do in the back end, being able to use one tool across the entire set of the infrastructure that we're using. >> So, what about the tool set, you're using the whole thing consistently, but what about the tool set went in easiest for you within your shop? >> Installing the infrastructure pieces themselves in its entirety were very, very easy. So, putting that into what we had already and where we were headed was very, very simple. We were able to do that on the fly in production and not have to do a whole lot of changes with the environments that we were doing at the time. The operational pieces within the DVX, which is the storage part of the platform, were seamless as far as vCenter and other tools that we were using went and allowed us to just extend what we were doing already and be able to just apply that as we went forward. And we immediately found that again, we just didn't manage storage anymore and that wasn't something we were intending and that made our ROI just go through the roof. >> So, it sounds like time value for the platform was very, very quick and also it fit into your overall operational practices. You didn't have to do a whole bunch of unnatural acts to get there. >> Right, we did not have to change a lot of policies, we did not have to change a lot of procedures. A lot of times, we just shortened them, we took a few steps out in a lot of cases. >> So, how is it changing, being able to do things like that, changing your conversation with your communities that you're serving as they ask for more capabilities? >> First off, it's making me say no a lot less and that makes them very, very happy. The answer usually is less and the answer to the question of how long will it take changes from oh, we can get that done in a couple of days or oh, we can get that done in a couple hours to I did that while I was sitting here in the meeting with you and it's been handled and you're off to the races. >> So, it sounds like you're placing a pretty big bet on Datrium. What's it like working with them as a company? >> It's been a great experience. From the start in the initial piece of talking to them and going through the POC process, they were very helpful, very knowledgeable SCs and since then, they've been very, very helpful in allowing us to tell them what our needs are rather than them telling us what our needs are and going through and working through the new processes and the new procedures within our own environments. They've been very instrumental in performance testing and deployment testing with things that a lot of other storage providers didn't have any interest in talking with us about, so they've been very, very helpful with that and very, very knowledgeable. The people that are there are actually really smart, which is not surprising, but the fact that they can relay that into solutions to what my actual problems are and give me something that I can push forward onto my business and have a positive impact from day one has been absolutely without question one of the better things. >> Well, that's always one of the biggest challenge when working with a company that's just getting going is how do you get the smarts of that organization into the business outcomes and really succeed. It sounds like it's working well. >> Absolutely. >> All right, Bryan Bond, Director of IT Infrastructure at eMeter, A Siemens Business. Thanks again for being on theCUBE. >> Bryan: It's been great. >> And once again, this has been a CUBE Conversation. Now, what we'd like to do is don't forget this is your opportunity to participate in the crowd chat immediately after this video ends and let's hear your thoughts. What's important in your world as you think about new classes of data platforms, new roles of data, new approaches to taking greater advantage of the data assets that are differentiating your business. Have those conversations, make those comments, ask those questions. We're here to help. Once again, Peter Burris, let's crowd chat. (light music)

>> From Tavern On The Green, in Central Park, New York, it's theCUBE. Covering Veritas Vision Solution Day. Brought to you by Veritas. >> Hello everybody welcome back to the Tavern On The Green. We're here in the heart of Central Park in New York City you're watching theCUBE the leader in live tech coverage. We go out to the events, we extract the signal from the noise, big events, small events. We're here at the Veritas Solution Days, #VtasVision. Veritas Vision used to be a very large, big tent conference. They've changed the format now and they go out, they're going out to 20 cities this year belly to belly with the customers and we've got one here. Vishal Kadakia who is the data protection manager at NBC Universal. Vishal thanks so much for coming on theCUBE. >> No problem thank you for having me. >> So as I say we love to get the customer perspectives, but let me start with this event. Why, you're a busy person, you're managing a lot of data, why do you take time out to come to event like this? What do you learn? >> You always get to learn new stuff, new products that you don't necessarily get to learn, 'cause you're always just zoned into your day-to-day work that you're doing so you don't always get to see what the new features may be or you miss it. These type of events are generally good to come see that. >> So what's the day in the life like these days for data protection manager and really I'm interested in how it's changed over the last five or six years, as you see things like, the buzzwords, digital transformation, big data, cloud, multi cloud, all the vendor buzzwords, but you actually have to live that. So how has that changed the role of data protection and data protection managers specifically? >> It's definitely a lot more complicated. Before you were just backing up om prem, you had tape, pretty much made it simple. Now you have all these different workloads, you're sending out to clouds, multi tenant as they keep calling it, the hybrid, which is another buzzword. Trying to manage the different workloads is a lot more complex than it was five years ago. You have various cloud vendors, you have various storage vendors, so managing all of that, obviously the data growth from the smaller backups to now, big data which could be terabytes, petabytes, to try to back that up has been a bit of a challenge. >> But that's a challenge for someone like you who's, you know, RPO and RTO is not getting relaxed. >> Right. >> Right. And you know people always talk about getting my weekends back so, but now you have to keep up with all of these other technologies so what is it? Is it a lot of reading, is it just going to sessions like this, having vendors come in, how do you keep up with it all? >> I think it's a big mix of both. It's going out to these events, but also having vendors come to you. Doing your own research, so it's a combination of just constantly keeping up. So, I would say it's a combination of all. >> One of the things that I would be concerned about in your roll is to have just more stove pipes. Are you able to just conceptually, not technical, deep technical anyway, I love tech, but are you to create, let's call it a abstraction layer for your data protection. Is that kind of your vision or where you're headed, so that you don't have to have 10 different formats and methodologies and processes around data protection? >> Yeah, I think that's the goal that I think every company's trying to go to, is consolidate, simplify. Whether that's vendor, whether that's hardware. I think that's really the goal of any organization now. And that's kind of where we're headed also. >> So if it's a baseball game analogy, and you're nine inning game, where are you in terms of that journey? Is it early days, kind of first inning, are you kind of warmin' up in the bullpen, are you sort of well into the game? >> I think we're well into the game. We're probably into the middle innings I would say. >> Okay. So you can see sort of that vision becoming a reality. And what are the priorities then in terms of getting to that point? Is it skill sets, is it technology, is it people? >> I would say it's technology. I would say that consolidation is probably the big word. We're all trying to consolidate while trying back up the large data sets. And I think that's where we are right now. That's where we're starting to get to, and see the plan forming, seeing where our methodologies, our strategies on how we're going to go forward. >> As you move toward the cloud, Vishal, whether or not it's even pushing data to the cloud, a lot of times you just can't. But it seems like that cloud operating model is something that's alluring to folks. Simplifying, agility, self service, are those initiatives that you guys have enacted? >> In terms of that, yeah we're I think in that phase, I think we're in our beginning to form that plan, because once you get to a cloud, you have to really have a good plan. Otherwise, your data is going to be all over the place. You're not going to know where it is, and managing that's just going to become that much harder. So I think in terms of that, we're trying to really come out with a good plan of how you migrate to the cloud. 'Cause once you get to the cloud, there's a whole different set of complexities that you have in managing it. >> Like what? Maybe tick off a few, so we can paint a picture. >> So once you get to the cloud, migrating, so you've formulated your plan how to get to, what cloud to use, what vendor you're using. How do you migrate from your on prem to the cloud is I think one of the big complexities, which I think kind of stumps a lot of people. You know you want to go to the cloud, just don't know how to get there. >> Is that just because the volume of data and you got to move data and it just takes so long? I mean to back up your iPhone takes forever and it fails left and right. >> Yeah, absolutely. >> So okay. It's the amount of data and the time it takes? >> Right, and you also have legacy applications, which may not be cloud ready and how do you deal with that? So you have that hybrid model you still want to keep some stuff om prem but you want to go the cloud. What goes to the cloud, which cloud do you go to? All of that is where I think we're really at and I don't think it's any different than any other organization, so that's kind of where. >> And how about this notion of multi cloud? I mean is that something that is real in your business? >> Yeah, I think it definitely is. I think our end users are trying to take advantage of where to go best? Some places Azure might work best. Some places AWS might work. There's also Google now that's coming up, so I think you have to kind of consider where the workload would be best to go to. >> Is Shadow sort of IT and cloud creep problematic for you and in other words, you know, lines of businesses saying, it's easy, I can swipe a credit card and I'm up and running in minutes. And then, oh I got to protect this data, it's got to be compliant. Has that been a challenge for you, do you feel like you have that under control? >> No, that has definitely been a challenge area. Different groups that have kind of tried to do their own thing and then found out, oh wait, this is way harder than we thought. Let us go back to our central team. But by then it's kind of all over the place, right so that's definitely been interesting. >> Yeah it's hard, because thinking about that you probably might have done it differently. You might have put in processes and procedures in place and now you've got to clean up the mess so to speak. But okay, so I want to get into Veritas, and you're a Veritas customer? >> I am. >> So how does Veritas help you with all these solutions? I mean a lot of the things I've just asked you, I think are part of either their road map or they're making claims that they can currently help solve some of these problems. Can they, what do you do with Veritas, and how legitimate is their ability in terms of being able to solve some of these problems? >> So we've been able to use Veritas to kind of, as a central location, management of everything. One of their tools as such is CloudPoint. So our biggest thing is if you don't have a central management tool like CloudPoint, which can manage your various cloud backups, then you're left with managing each cloud on its own. So as an operations standpoint, that's like a nightmare. So having a tool such as CloudPoint, right, and then that getting integrated back into NetBackup, which now gives us a central location for all my backups, for reporting, for audit purposes, any of that has been great. And I've been using Veritas since 3.1 so I've been a Veritas customer for a long time. I've seen the evolution of when it was 3.1, a lot of it was manually operated, a lot of scripts, where now a lot of it is automated. So that's helped a lot. We're automating VM policies, we're automating SQL backup policies, all of that has been great. >> Where are you today in terms of these. >> I'm sorry? >> Where are you at today in terms of the release? >> We're, I know they just released eight one two, we're on eight one one. >> Okay so close to current. Yeah I've seen some videos on eight one two. It looks like they've really put a lot of time and effort in to refreshing it. It looks like a microservices architecture, they're talking about containers and certainly you know, saying all the right things. From your perspective have you dug into it yet or is it still early? >> It's still early. I did deploy it on a test environment. Haven't fully played around with it but some of the cool concepts obviously are, you're going away from that Java console eventually, getting to that web based, able to access it from anywhere, the manageability, like a central tool to manage all of that. That I think they're finally gearing towards that and. >> And you guys are a VMware shop? >> We are a VMware shop. >> So when we were at VM World last August, this past year, and even the year before. Data protection was one of the hottest topics, you know, on the show floor. Were you there, I don't know if you were there. >> I was not there. >> I mean it was really a lot of buzz there, sort of a lot of new entrance in that space, and would I imagine a lot of people coming after you for your business, because that's a very large install base. So when you look at the vendor landscape, how do you look at it? Where do you position Veritas, relative to some of the other upstarts? Your thoughts on the competitive landscape, why Veritas? >> Well, my point of view has always been, if it's not broke you don't fix it. There may be other that may be doing something better, but at the end of the day if it's not drastically different, it's a lot of work to move away from one product to another. They'll always come to you and say, hey, we do this better, we do this better. But then when you compare it, to me, Veritas is that all encompassing. It doesn't only do virtual, it does physical well also. It doesn't only do big data, it does all the traditional databases as well. They're always constantly evolving and adding new workloads that it can also be compatible with. >> Yeah so, I would imagine it would be a little difficult to go to your CFO and try to justify a huge migration project given the other priorities that you have. Give me some insight there. I mean what kinds of things do you want to focus on, I mean obviously nobody wants to migrate anything, it's like moving a house. >> Yeah. >> You really don't want to do it, I mean sometimes you get a bigger house or a nicer house or a smaller house, but it's, moving is always a pain. So you'd rather put your effort in your shop somewhere else. Where are you putting that effort? What are some of the priorities that you have either personally or professionally? >> I would say in this sense I think it's I don't want to work the weekends, right. So how do we automate? How do we make operations easier for everybody, the engineering, the solution, the operations. I want to make it simple. I think Veritas allows us to do that 'cause they're an open source, they work with many vendors which makes it nice. So you can, such as VMware, it works with vRealize. All those plugins with VMware and you can eventually just automate and make it simple. >> And kind of get rid of a lot of the scripts which tend to be fragile, they take a lot of maintenance, they tend to be error prone, so if you can through a set of APIs automate programmatically move towards sort of infrastructurous code or a DevOps environment. I'm sure you guys do that internally. And what a difference it makes, from the sort of classic waterfall in terms of speed, agility, quality. I presume that you're seeing that in your shop? >> Yeah, we definitely are and something like a flex appliance would allow us to move towards that. It simplifies, gets us to where we are, but also helps us with our goals of simplifying, reducing our footprint, but still being able to be agile enough to go to cloud, to keep a hybrid model. So something like that is I think where we're seeing. >> Well Vishal, we love the customer perspective, Thank you for coming on. We like to hear the truth, Vertias, truth in Latin, of course. And really appreciate your time. >> Thank you very much. >> You're welcome. All right keep it right there everybody. We're here at Vtas Vision, #VtasVision, Veritas Vision Days in New York City, Central Park, Tavern on the Green, beautiful location. My name's Dave Vallante. We'll be right back, right after this short break. (upbeat music)

>> Narrator: Live from Nashville, Tennessee. It's theCUBE covering Commvault GO 2018. Brought to you by Commvault. >> Welcome back to Nashville, Tennessee. You're watching theCUBE at Commvault GO. I'm Stu Miniman with my co-host Keith Townsend. Happy to welcome to the program Lance Shaw, who's the director of Solutions Marketing at Commvault. Thanks so much for joining us. >> Thank you so much, glad to be here. >> All right, so we've been having a great day here. We're talking to some of your partners. Talking to some of your customers. Solutions Marketing, of course, everything's a solution these days. That's what they're looking for. Tell us a little bit about your background and what you do at Commvault. >> Lance: Absolutely, right. So, I came from a product management and product marketing background and one of the things we're really focused on here at this show, of course, is all about customers and what their stories are and frankly, how we can improve our products and our solutions to better meet the needs of the customers, right. That's what ultimately what it all comes down to. And so, that's why we're here, the whole reason for the show. I think what's been interesting so far at this show has been the focus on, not only just cloud utilization, but the fact that customers are having to deal with multiple clouds and the fact that why they have to do that. There's a variety of reasons that drive people to say well you know maybe five years ago, you would have said, "Are you using a cloud?" Yeah, I've got one cloud provider, but now I've got lots. >> Stu: Yeah, and Lance I'd love to hear what you're hearing from customers 'cause one of the things you talk to customers and oh, they have a multi-cloud strategy and when you dig in, first of all, every customer has a totally different environment, >> Lance: Right. >> Stu: and it reminds me, I spent the last two decades trying to help customers get out of their silos, and in some ways I'm a little worried that we've just created a whole bunch of new silos, that just don't happen to live in my data center, and we called it multi-cloud >> Lance: Right. >> Stu: because the strategy is oh, well I did this application for here and then oh, there's this service over here that I needed and then I sissified a bunch of stuff. So, tell me we've got it all figured out. Customers, they have a good strategy, they're really sharp as to where they're going, and the future is bright. >> Lance: Absolutely. Now the reality of that is, (laughs) that in fact, you're absolutely right. Unwittingly or unknowingly we've gotten to a path of history repeating itself where I'm creating new silos of information and data. So, you're absolutely right. Organizations start out with a point solution for a particular application or a particular data set or acquired a company and so brought in this new thing. And pretty soon, I have no idea what I've got in the Singapore office versus the London office versus New York, right, so. And how do I reconcile that and bring it back together? So I've got that same old problem that, if you've been around in the industry for a few years, we saw 10 years ago, 15 years ago, I've got to bring my silos of information together. And so, yeah you're right. It's suddenly a new, same old challenge all over again. Alright, so and that's why it's become a focus area because I suddenly have fragmented, disconnected application and data silos. So that's really where Commvault, turns out, can really help because sometimes it's a matter of consolidation. You know what, I need to get down from three locations to two, or four to one, or whatever the case may be, some sort of consolidation. And usually there's some cost savings involved there. And or, it's I got these multiple solutions that are out there and I've got no control and I have no visibility, I know I'm exposed so, I've got a risk factor now that I didn't have before. So when you start to blend all of those together, you're absolutely right, it's the same old story again, right. >> Keith: Industry versus vertical versus use case, you've given us a couple of different ones. Use cases, reducing costs, consolidation, even multi-cloud in itself is a use case. But, if you're an enterprise software company, if you're an enterprise IT company, you're challenged as you talk to different industries about specific solutions. You got to tailor solutions to industries. Talk about some of the industries that Commvault has come to solve specific problems for. >> Lance: Right, well I think there's a lot, to be honest, right, because every company faces those set of challenges. I think where it gets really interesting is in highly regulated industries, right. So, you think about biopharmaceuticals, you think about financial services, or certainly in the government space, in the federal space. And they have a whole set of unique challenges there because you're dealing with top secret clouds and you're dealing with, you know, some special concerns there. I think where it gets of particular interest is when I've got all those fragmented or disconnected silos, is that I need to address my compliant's concerns. I need to understand the data for more than just is it protected and could I recover it in a specific amount of time? I actually need to be able to show that I have it and prove that what I've got and be able to address specific industry regulations that are unique to my particular industry. So, that's where we start to see very specific use cases that kind of get down from the generic or the general, down to the very specific how do I manage this data and how do I understand what I have? And then of course you get into, you know, can you prove what you've got? Can you go out and retrieve it? And there's all sort of, you know, regulations along that that I've got to adhere to. But that can be addressed once I have that full index, an understanding of what my environment's like. Now, I can go out and locate that information, I can retrieve it when I need to, and actually open it up from a persona based access perspective, let specific people in an organization have access just to the limited data sets that they need, alright. So that comes into play a lot, especially, for example, every organization, right, you've got database admins, you've got critical tier zero applications that you need need to manage. It's your CRM system, it's your supply chain management system. If it goes down, you know, people freak out, alright. So, and I want to be able to provide, you know, self-service access to information for those people. So I've got a well-managed understanding of my environment, but then I'm able to dole out access to the individuals that need it when they need it and they don't have to come ask us or ask IT or ask anybody else, you know, for that information. >> Stu: Yeah, Lance as we watch the cust-to-cust companies really understand that data is very valuable, we have a transition that's going on. Traditional customer for Commvault, you're talking about things like RPO and RTO and the like. And, you know, you've got the admins of the world trying to figure out how they do their jobs and things like, okay, backup Windows of the past versus recovery and all those moving pieces. As opposed to today, you talk about the value of data, these are board-level discussions. >> Lance: Right. >> Stu: You've got the C-Suite that you're working with. We talked to a few of your teams about, well, you've got the top down and the bottom up. How are you helping them and what conversations do you have with them? >> Lance: They are entirely different conversations, right. IT is serving the business, as we all know, right. You know, maybe a bit cliché, sorry. >> Stu: Hopefully, if they're doing their job right, they're responding to and actually doing what they need to. >> Lance: Why am I here? Oh, that's right! To serve the business. Yeah, let's try that. So, anyways, there's that delivery of data, but you're absolutely right. The utilization of data and how it's consumed and the understanding that I can get from it, that is an entirely different conversation and, you're right, it is. It's a business unit discussion, you know, it's a line of business discussion at the very least, and it's probably a senior executive discussion because with that additional visibility, I'm then able to make much better, at least theoretically, better business decisions and because I've got more information to draw from. So, you're right, in terms of the conversation, we're not talking about strictly data protection. It's like, yes, when your data is understood, here's what else you can do with it. And then you got to tailor that to the specific industry, specific vertical, and a little more specific to that particular conversation. >> Keith: So Lance, give us a feel for that conversation that's happening here at Commvault GO, 2,000 people, over 150 sessions, education focused event, and there's different personas. I'll let the focus on that executive persona a little bit. I got you in front of the SVP of some group, the CDO. What's the Commvault story? Why Commvault over any other data protection company? >> Lance: I like to think of it as the proverbial, killing two birds with one stone, right. So, is my data growing? Oh, yeah, right. You're never going to hear someone say, you know data is shrinking, I have less to worry about. I mean, I've been in the industry a couple years now, give or take, and it's just never going to happen, right. So, you don't have to worry about that. With that in mind, the need to be able to have the visibility is continuing to increase. So, you see the rise of a chief data officer and what are they concerned about? They're concerned about utilizing data in ways that they were previously never able to do. And so, when we have those conversations, it's one of if I'm going to kill two birds with one stone, I'm going to be able to not only protect my data, but I'm going to give you additional visibility that you didn't have before because I'm providing you visibility into all of the secondary data and the application protection and I'm allowing you to be, ultimately, more flexible because now you're able to actually move data where you need it and expand your data center in ways you previously could not. So, I want to move from one cloud to the other. No problem, I can do that. I want to finally move, finally get off of tape and consolidate my environments and move either to an on premises environment or to a cloud. Not a problem. I can come back, we see customers that are coming back to on premises from cloud in some cases just for particular use cases. So the conversations that we have with a CEO, will just stick with a CEO as an example, are around better utilization of the data and better risk mitigation around that data, alright. So I've had a number of conversations related to that where we were concerned about not, you know, everybody talks about ransomware, but in general, attacks on the business and it's not if it's when, so how do I make sure that I can keep my business up and running? And so, it's that broader perspective that you have around how I manage data and how I deliver it to the business. That's what they care about, alright. That's crazy you're protected by the way, that's sort of important too. But what I can do with it and how I deliver it to my lines of business, that's where the interest starts to lie in a CEO level conversation. >> Yeah, Lance. One of the things everybody loves coming to a show like this, you get some of those great user stories. This morning, we had the State of Colorado on talking about how they're recovering from ransomware. >> Right, right, right. >> We had American Pacific Mortgage on talking about just the scale. You talked about the growing data and how, you know, using Commvault they're able to manage that much better. Any other specific examples of kind of interesting use cases or good customer stories you might have? >> Yeah, we recently had a very large customer that was looking to consolidate their environment. It was a classic case of I got offices spread around the world and they had a number of different point solutions, right. So, without naming names, I've got different protection solutions for different areas. I've got different administrators. I've got different policies. And, you know, they hit a scenario where they were exposed from a risk perspective that that particular set of data was not covered as they thought it was because they didn't have standardization of policies, standardized policies I should say, around how they manage, access, and the retention of that data. And so that, sometimes there's that forcing event that says we have a problem here, we need to do something about this. Alright so, in their case, they we able to consolidate from multiple solutions down to Commvault where they could have predefined set of policies in place around the data and not only for what they were gathering in. So as they ingested it or moved data under Commvault's management, they were able to automatically assign policies to that, but then in their case, they were also acquiring other companies. So, they were acquiring a rather large European entity, and when they were bringing that organization in, they wanted to make sure that they did so in a way that didn't expose the risk again in the future because if we're going to grow as a business with an acquisition strategy, we've got to be able to make sure that what comes into the organization is consistent. >> So, being partner presence here, Commvault has been pretty direct and forward talking about how you're shifting from a direct sales model and having gone through partners to help provide the solutions to these challenges. Talk through, how do you enable partners, or how do you encourage partners, this is a crowded market, there's a lot of investment in the area of data protection, how do you rise to the top of the partner list and for partners putting your solutions in front of their customers? >> Lance: Right, there's two ways we do that, right. So, the first, because you're absolutely right. You know, partners are key to our growth and we can be key to their growth and success. No doubt about it. So, the first thing is give them something that's going to really make them successful. So, instead, if I'm a partner, I want the flexibility to be able to address a wider variety of demands. I want to be able to go in to a potential prospect and say yeah, I can address this, but also I have the software behind the scenes, Commvault, to be able to attack multiple other scenarios for you. Oh and by the way, it's all in one and you've got one solution to be able to address all that. So, one of the key ways that we differentiate, and you're right, in a very crowded market, alright, that says we should really have Commvault in the back of your mind, at the top of your list. If you're going in and seeing scenarios where point solutions simply doesn't do it or paints you into a corner where you're not going to be able to help them grow down the future. The other thing partners obviously want, as every business wants, is repeat business. I want to be able to go back in and expand, I want to build my footprint out, and if I can go in with a partner that enables me to do that, then I've got long term opportunity versus just going in like, hey, I made a quick sale and I'm out and good luck to you, right. >> Stu: Lance, last thing I wanted to ask you. Last year, GDPR was the talk of every single show like this. >> Lance: Yeah, I've seem to have heard about that, yeah. >> Stu: We got a good education. My boss actually read through the entire specs. I read the Cliffnotes version >> Lance: Okay, yeah, me too. >> Stu: and then talked to a lot of smart people about it. California is looking at some new legislation, but what's the latest on that? It seems like, you know, I know some of the lawsuits already happening at some of the biggest companies in Europe, you know, from a technology standpoint, but what are you hearing and how has Commvault helped customers understand kind of today and future legislation? >> Lance: Yeah, I think, you know what's interesting? When we looked at, you know, everybody was kind of marching up to the GDPR date as if it was Y2K all over again. >> Stu: Right. >> Lance: Not that I remember that of course. I'm too young for that. (Keith laughs) You know, it was like May 25th, May 25th, the sky's going to fall, and we all knew that, hey listen, that day is going to come and go and somebody's going to be made an example at some point, right. And sure enough, that's starting to happen. And you know, it's a good thing. It's building the awareness that we tried to educate people, tried to get the word out, you know, it happens longer. Why wait past May 25th? It's still going on, right. So, for a lot of customers that we're talking to, they're looking to, they've had a plan in place and they're moving there gradually, it wasn't right away, but I think sometimes when you see those things in the press about there's actually being a finesse, it's actually real and it brings it to life like, uh we should really do something here, right. So, I think, honestly, that's a process that's going to continue for years. You know, I've heard everything from we'll just pay the fine, which is a risky strategy both probably on a personal level as well as professional. (Keith laughs) You wouldn't want to bet your career on that strategy. With the advent of, we also always knew that hey, GDPR is one of these set of regulations. There will be others, there are others. And you have to be able to adhere to those no matter where you live on the Earth. So, you know, long story short, I think it's a continuing evolution. We help customers understand their data. So, you know, through our Commvault activate product, we can do it. Even if you're not using Commvault for backup and recovery, you're actually able to go out and scan your environment and get a better understanding of what personal information you've got under lock and key, what you've got in your environment, and be able to ascertain well okay, where's my risk, where am I exposed? And then I can start to put a plan in place to mitigate that. So, I think it'll be going on for quite some time in terms of especially as new laws like the California law. I always forget the letters and numbers associated with it, but it's same idea around personal privacy. And I think, you know, we've had the Patriot Act for a long time, right, where foreign governments are concerned about data sovereignty and where data lives and that's going to continue to increase, you know, for a variety of reasons. So organizations have to really know where their data is and what's encapsulated within that data and that's where the Commvault data platform, the index, actually shines to uncover that information. >> Stu: Well, Lance Shaw, I really appreciate you sharing with us where your customers are in a lot of these really important issues. For Keith Townsend, I'm Stu Miniman. We'll be back with more coverage here from Commvault Go in Nashville, Tennessee. Thanks for watching theCUBE. (upbeat music)

>> Narrator: From Las Vegas, it's The Cube. Covering IBM Think 2018. Brought to you by IBM. >> Welcome back to IBM Think, everybody. My name's Dave Vallante, I'm here with Peter Burris. You're watching The Cube, the leader in live tech coverage. This is our day three. We're wrapping up wall to wall coverage of IBM's inaugural Think Conference. Thirty or forty thousand people, too many people to count, I've been joking all week. Sam Werner is here, he's the VP of Offering Management for Software Defined Storage, Sam, good to see you again. And Steve Kenniston is joining him otherwise known as the storage alchemist. Steven, great to see you again. >> Steven: Thanks, Dave. >> Dave: Alright, Sam. Let's get right into it. >> Sam: Alright. >> Dave: What is the state of data protection today and what's IBM's point of view? >> Sam: Well, I think anybody who's been following the conference and saw Jenny's key note, which was fantastic, I think you walked away knowing how important data is in the future, right? The way you get a competitive edge is to unlock insights from data. So if data's so important you got to be able to protect that data, but you're forced to protect all this data. It's very expensive to back up all this data. You have to do it. You got to keep it safe. How can you actually use that back-up data to, you know, perform analytics and gain some insights of that data that's sitting still behind the scenes. So that's what it's really all about. It's about making sure your data's safe, you're not going to lose it, that big big competitive advantage you have and that data, this is the year of the incumbent because the incumbent can start unlocking valuable data, so - >> Dave: So, Steve, we've talked about this many times. We've talked about the state of data protection, the challenges of sort of bolting on data protection as an afterthought. The sort of one size fits all problem, where you're either under protected or spending too much and being over protected, so have we solved that problem? You know, what is next generation data protection? What does it look like? >> [Steve} Yeah, I think that's a great Question, Dave. I think what you end up seeing a lot of... (audio cuts out) We talk at IBM about the modernize and transform, a lot. Right? And what I've started to try to do is boil it down almost at a product level. WhY - or at least an industry level - why modernize your data protection environment, right? Well if you look at a lot of the new technologies that are out there, costs have come way down, right? Performance is way up. And by performance around data protection we talk RPO's and RTO's. Management has become a lot simpler, a lot of design thinking put in the interfaces, making the Op Ec's job a lot easier around protecting information. A lot of the newer technologies are connected to the cloud, right? A lot simpler. And then you also have the ability to do what Sam just mentioned, which is unlock, now unlock that business value, right? How do I take the data that I'm protecting, and we talk a lot about data reuse and how do I use that data for multiple business purposes. And kind of unhinge the IT organization from being the people that stumble in trying to provide that data out there to the line of business but actually automate that a little bit more with some of the new solutions. So, that's what it means to me for a next generation protection environment. >> Dave: So it used to be this sort of, okay, I got an application, I got to install it on a server - we were talking about this earlier - get a database, put some middleware on - uh! Oh, yeah! I got to back it up. And then you had sort of these silos emerge. Virtualization came in, that obviously change the whole back up paradigm. Now you've got the cloud. What do you guys, what's your point of view on Cloud, everybody's going after this multi-cloud thing, protecting SAS data on prem, hybrid, off-prem, what are you guys doing there? >> Sam: So, uh, and I believe you spoke to Ed Walsh earlier this we very much believe in the multi-cloud strategy. We are very excited on Monday to go live with a Spectrum Protect Plus on IBM's cloud, so it's now available to back up workloads on IBM Cloud. And what's even more exciting about it is if you're running Spectrum Protect Plus on premises, you can actually replicate that data to the version running in the IBM cloud. So now you have the ability not only to back up your data to IBM cloud, back up your data IN IBM cloud where you're running applications there, but also be able to migrate work loads back and forth using this capability. And our plan is to continue to expand that to other clouds following our multi-cloud strategy. >> Dave: What's the plus? >> Sam: Laughs >> Dave: Why the plus? >> Kevin: That's the magic thing, they can't tell you. >> Group: (laughing) >> Dave: It's like AI, it's a black box. >> Sam: Well, I will answer that question seriously, though. IBM's been a leader in data protection for many years. We've been in the Gardeners Leaders Quadrant for 11 years straight with Spectrum Protect, and Spectrum Protect Plus is and extension of that, bringing this new modern approach to back up so it extends the value of our core capability, which you know, enterprises all over the world are using today to keep their data safe. So it's what we do so well, plus more! (laughing) >> Dave: Plus more! - [Sam] Plus more. >> Dave: So, Steve, I wonder if you could talk about the heat in the data protection space, we were at VM World last year, I mean, it was, that was all the buzz. I mean, it was probably the most trafficked booth area, you see tons of VC money that have poured in several years ago that's starting to take shape. It seems like some of these upstarts are taking share, growing, you know, a lot of money in, big valuations, um, what are your thoughts on What's that trend? What's happening there? How do you guys compete with these upstarts? >> Steve: Yeah, so I think that is another really good question. So I think even Ed talks a little bit about a third of the technology money in 2017 went to data protection, so there's a lot of money being poured in. There's a lot of interest, a lot of renewed interest in it. I think what you're seeing, because it cut - it's now from that next generation topic we just talked about, it's now evolving. And that evolution is it's not, it's no longer just about back up. It's about data reuse, data access, and the ability to extract value from that data. Now all of a sudden, if you're doing data protection right, you're backing up a hundred percent of your data. So somewhere in the repository, all my data is sitting. Now, what are the tools I can use to extract the value of that data. So there used to be a lot of different point products, and now what folks are saying is, well now, look, I'm already backing it up and putting it in this data silo, so to speak. How do I get the value out of it? And so, what we've done with Plus, and why we've kind of leap frogged ourselves here with - from going from Protect to Protect Plus, is to be able to now take that repository - what we're seeing from customers is there's a definitely a need for back up, but now we're seeing customers lead with this operational recovery. I want operational recovery and I want data access. So now, what Spectrum Protect Plus does is provides that access. We can do automation, we can provide self service, it's all rest API driven, and then what we still do is we can off load that data to Spectrum Protect, our great product, and then what ends up happening is the long term retention capabilities about corporate compliance or corporate governance, I have that, I'm protecting my business, I feel safe, but now I'm actually getting a lot more value out of that silo of data now. >> Peter: Well, one of the challenges, especially as we start moving into an AI analytics world, is that it's becoming increasingly clear that backing up the data, a hundred percent of the data, may not be capturing all of the value because we're increasingly creating new models, new relationships amongst data that aren't necessarily defined by an application. They're transient, then temporal, they're, they come up they come down, how does a protection plane handle, not only, you know, the data that's known, from sources that are known, but also identifying patterns of how data relationships are being created, staging it to the appropriate place, it seems as though this is going to become an increasingly important feature of any protection scheme? >> Steve: I think, I think a lot - you bring up a good topic here - I think a lot of the new protection solutions that are all rest API driven now have the capability to actually reach out to these other API's, and of course we have our whole Watson platform, our analytics platform that can now analyze that information, but the core part, and the reason why I think - back to your previous question about this investment in some of these newer technologies, the legacy technologies didn't have the metadata plane, for example, the catalog. Of course you had a back up catalog , but did you have an intelligent back up catalog. With the Spectrum Protect Plus catalog, we now have all of this metadata information about the data that you're backing up. Now if I create a snapshot, or reuse situation where to your point being, I want to spin something back up, that catalog keeps track of it now. We have full knowledge of what's going. You might not have chosen to again back that new snap up, but we know it's out there. Now we can understand how people are using the data, what are they using the data for, what is the longevity of how we need to keep that data? Now all of a sudden there's a lot more intelligence in the back up and again to your earlier question, I think that's why there's this renewed interest in kind of the evolution. >> Dave: Well, they say at this point you really can't do that multi-cloud without that capability. I wanted to ask you about something else, because you basically put forth this scenario or premise that it's not just about back up, it's not just about insurance, my words, there's other value that you could extract. Um, I want to bring up ransomware. Everybody talks about air gaps - David Foyer brings that up a lot and then I watch, like certain shows like, I don't know if you saw the Zero Days documentary where they said, you know, we laugh at air gaps, like, oh! Really? Yeah, we get through air gaps, no problem. You know, I'm sure they put physical humans in and they're going to infect. So, so there's - the point I'm getting to is there's other ways to protect against ransomware, and part of that is analytics around the data and all the data's - in theory anyway - in the backup store. So, what's going on with ransomware, how are you guys approaching that problem, where do analytics fit? You know, a big chewy question, but, have at it. >> Sam: Yeah, no I'm actually very glad you asked that question. We just actually released a new version of our core Spectrum Protect product and we actually introduced ransomware detection. So if you think about it, we bring in all of your data constantly, we do change block updates, so every time you change files it updates our database, and we can actually detect things that have changed in the pattern. So for example, if you're D-Dup rate starts going down, we can't D-Dup data that's encrypted. So if all of a sudden the rate of D-Duplication starts going down that would indicate the data's starting to be encrypted, and we'll actually alert the user that something's happening. Another example would be, all the sudden a significant amount of changes start happening to a data set, much higher than the normal rate of change, we will alert a user. It doesn't have to be ransomware, it could be ransomware. It could be some other kind of malicious activity, it could be an employee doing something they shouldn't be - accessing data that's not supposed to be accessed. So we'll alert the users. So this kind of intelligence, uh, you know is what we'll continue to try to build in. IBM's the leader in analytics, and we're bringing those skills and applying it to all of our different software. >> Dave: Oh, okay. You're inspecting that corpus of backup data, looking for anomalus behavior, you're say you're bringing in IBM analytics and also presumably some security capabilities from IBM, is that right? >> Sam: That's right. Absolutely. We work very closely with our security team to ensure that all the solutions we provide tie in very well with the rest of our capabilities at IBM. One other thing though, I'll mention is our cloud object storage, getting a little bit away from our backup software for a second, but object storage is used often - >> Kevin: But it's exciting! >> Sam: It is exciting! It's one of my favorite parts of the portfolio. It's a place where a lot of people are storing backup and archive data and we recently introduced worm capability, which mean Write Once Read Many. So once it's been written it can't be changed. It's usually used for compliance purposes but it's also being used as an air gap capability. If the data can't be changed, then essentially it can't be you know encrypted or attacked by ransomware. And we have certification on this as well, so we're SEC compliant, we can be used in regulated industries, so as we're able to in our data protection software off load data into a object store, which we have the capability, you can actually give it this worm protection, so that you know your backup data is always safe and can always be recovered. We can still do this live detection, and we can also ensure your backup is safe. >> Dave: That's great. I'm glad to hear that, cause I feel like in the old days, that I asked you that question about ransomware, and well, we're working on that - and two years later you've come up with a solution. What's the vibe inside of IBM in the storage group? I mean it seems like there's this renewed energy, obviously growth helps, it's like winning, you know, brings in the fans, but, what's your take Steve? And I'll close with Sam. >> Steve: I would almost want to ask you the same question. You've been interviewing a lot of the folks from the storage division that have come up here today and talked to you. I mean you must hear the enthusiasm and the excitement. Right? >> Dave: Yeah, definitely. People are pumped up. >> Steve: And I've rejoined IBM, Sam has rejoined IBM, right? And I think what we're finding inside is there used to be a lot of this, eh yeah, we'll eventually get there. In other words, it's like you said, next year, next year. Next, next quarter. Next third quarter, right? And now its, how do we get it done? People are excited, they want to, they see all the changes going on, we've done a lot to - I don't want to say sort out the portfolio, I think the portfolio's always been good - but now there's like a clean crisp clear story around the portfolio, how they fit together, why they're supposed to - and people are rallying behind that. And we're seeing customer - we're voted by IDCE, number one in the storage software business this year. I think people are really getting behind, you want to work for a winning team, and we're winning and people are getting excited about it. >> Dave: Yeah, I think there's a sense of urgency, a little startup mojo, it's back. So, love that, but Sam I'll give you the last word, before we wrap. Just on Think? Just on the Market? >> Sam: I got to tell you, Think has been crazy. It's been a lot of fun so far. I got to tell you, I have never seen so much excitement around our storage portfolio from customers. These were the easiest customer discussions I've ever had at one of these conferences, so they're really excited about what they're doing and they're excited about the direction we're moving in. So, yeah. >> Dave: Guy, awesome seeing you. Thanks for coming back on The Cube, both of you, and, uh, really a pleasure. Alright. Thank you for watching. Uh, this is a wrap from IBM Think 2018. Guys, thanks for helping us close that up. Peter, thank you for helping - >> Peter: Absolutely. >> Dave: me co-host this week. John Furie was unbelievable with the pop up cube, really phenomenal job, John and the crew. Guys, great great job. Really appreciate you guys coming in from wherever you were Puerto Rico or the Bahamas, I can't keep track of you anymore. Go to siliconangle.com, check out all the news. TheCube.net is where all these videos will be and wikibon.com for all the research, which Peter's group has been doing great work there. We're out! We'll see you next time. (lively tech music)

>> Narrator: From the Silicon Angle Media office, in Boston, Massachusets. It's The Cube. Now here's you host, Stu Miniman. >> Hi, I'm Stu Miniman and we're coming to you from the Boston area studio here of The Cube. Excited to talk about some of my favorite topics. Talking about the culture, innovation, and really transformation in what's happening in data center. Digital transformation is on everybody's mind. Specifically happy to welcome Mike Grandinetti who is the Chief Marketing and Corporate Strategy Officer with Reduxio. Mike, thanks so much for joining us. >> Stu, thank you so much for having me. Great to be out here with you today. >> Alright, so you're a local guy? >> Mike: Yeah. >> We're glad that you could join us here. Before we jump into the company tells a little about your background, what you worked on, what brought you to Reduxio. >> In a nutshell I guess my background is all about innovation. I've sort of eat, breathe and slept innovation for the last 25 years of my career. So I started off as an engineer in Silicon Valley with HP back when Bill and Dave were still around. At a time when it was America's most admired company. Was a remarkable sort of introduction to what is possible. Went back, got my MBA, did several years at McKinzie doing corporate strategy consulting. Mostly around innovation related projects. And then I moved up here to Boston to be a part of the first of what is now eight consecutive enterprise venture capital backed start ups. And I've been lucky enough that two of those went public on the NASDAQ. The prior seven have all been acquired by companies like AT&T and Oracle. And now Reduxio is my eighth start up. We're really having a great time building this business. >> Great, we're definitely going to big into some of the innovations of Redux I O. >> Yes. >> So the name kind of tells itself. We've seen a few companies with the I O at the end. We've talked so much that when we've talked about kind of 2018 data is at the center of everything. Really what is driving business. So for an audience that hasn't run across Reduxio kind of give us the why and the what. >> Yeah, and so to your point, data's driving everything. Mark Andressen famously said software's eating the world. I think if we were to update that it's data is eating the world. And so I think you and I have had this discussion off camera. Whether it's fair or not, I think it's true. And it needs to be stated that the amount of innovation that has occurred in the storage industry over the last 20 years, has been disappointing at best. The solutions that have evolved have evolved in an extremely fragmented way. They are over, way too complex. They're way too expensive. And because it's a collection of piece parts, you've got to manage multiple screens, multiple learning curves. And a lot of things fall through the cracks. So when you go and look at some of the research data from a wide range of analysts, what you hear from them is there's this extraordinary lack of confidence that even though I've spend a ton of money, invested a lot of staff time and attention to building out this infrastructure, very lacking in confidence that I'm actually going to get that data back when I need it. So it's the old adage, it's time to fix it. So this is exactly what the founders of Reduxio saw. They were looking at this evolutionary path and saying people are just making it worse. So they did what many people would condsider to be radical. They threw out the entire playbook of what storage architecture has been and they took a clean sheet of paper, design centric approach. What are the use cases? Where are we in the world with regard to technology? And how do we design and experience for storage admin or BD admin or a person in the dev center that doesn't require a PhD in storage? And so that's kind of what the premise was. >> Yeah, so many things there that there are to dig into. Absolutely. I live, I worked for one of the storage companies for a decade. Absolutely complexity is how we would describe it. And what companies are looking for today, is they need simplicity. They need to focus on the business. Turing dials and worrying about do I have enough capacity? Do I have enough performance? Do I have enough of those things, is not what drives the business. >> Mike: Exactly. >> They need to focus on their applications. The bit flip we saw in big data, and we can argue whether or not big data was hype or whatever we had there, but it was oh my gosh I'm getting all this data to oh my gosh I have all of this data and therefore I can do more things, I can find more value. >> Mike: Absolutely. >> I worry a little bit when I hear things like oh, the storage admin. >> Yeah. >> The storage admin's job before was how to I triage and kind of deal with those issues? Many solutions now you look at the wave of hyper convergence. Let's push that to a cloud architect or the virtualization layer. How do we start with a clean slate and get out of the storage business and get into the data business? >> Mike: I love it. So I'm going to bring you back ten years to one of the most remarkable product introductions that has ever been conducted on this planet. It was the introduction of the iPhone. And if you recall in those first five minutes that Steve Jobs took the stage in a way that only Steve Jobs could. He went onto tease the audience by saying that we are going to be introducing three products today. And then over the next minute or two became clear that it wasn't three products, it was one very innovative product at the time. The iPhone. What they basically did is they integrated these three previously disparate pieces of technology. Certainly the mobile phone but also a music player and an internet navigator. Behind this gorgeous revolutionary user interface. So what we've tried to do is take a page out of the Job's iPhone innovation. We're integrating. And Forrester Research has written an incredible report about this and others, IDC and others, have consistently supported it. Chris Malore from the Register has written about this at length as well. Reduxio is integrating primary and secondary storage along with built in data protection. So those previously siloed capabilities are now one. We're also, like Jobs did, when you looked at the old style smart phone, the BlackBerry and the Trio and the- ya know all of those things that had all of those keyboards, is we've created a user interface using game designers so when our customers go home at night and they log into Reduxio, their little kids will say, hey dad what game are you playing? And dad will say, I'm not playing a game. I'm actually working on Reduxio. And so what that's done for us I think is it's allowed us to be able to drop a Reduxio system into any number of use cases with someone who may not have the luxury of being deep in storage. And literally get time to value that they put production workloads on the system that day. >> It's interesting, another piece that I'll draw from your analogy is when you talk about how did Apple take all of those pieces. And it's kind of certain technologies moving along. But there's one specific technology that really helped drive that adoption. And it's Flash. >> Mike: Yes. >> And the consumer adoption of Flash ten years ago drove the wave that we've seen in enterprise storage. >> Right. >> So help connect the dots for us, because we look at- I remember a decade ago primary to secondary storage oh I'll give you a big eleven refrigerator size cabinet and you can do both. >> Mike: Right, sure. >> But I put expensive stuff here, I put cheap stuff here. I used the software to put it together. I'm assuming I can consolidate it down and I think Flash has something to do with it. >> Yeah, and so it's a multi tiered system. The array itself. It's an appliance. And obviously most of the value is in the software. There's a management platform that allows us to peer deep into the data. But everything is time stamped and indexed. So we have a global view of the data. And you can tier it, the most hot data very mission critical, business app data, goes to Flash. Secondary data can go to spinning disk or now we can archive to the cloud. Specifically any S3 target, Amazon or any S3 target. But what I think makes it very relevant is we've illuminated the notion of snapshotting. So we've built something that we call the time OS or the time operating system. And it's a time machine for your data. What happens is rather than incur that incredible burden of having to schedule snapshots, that only requires you at another incredible heroic effort to bring the data back, you have continuous data protection. I can go back at any point in time and literally with a very graphical screen point and say I want to bring data back from two seconds ago. And one of our best examples of that is we had a customer who had been attacked, has suffered from a ransomware attack. They went down for a week, they went down hard for a week. And they came and found Reduxio. They got attacked again. And the second time around they lost only two minutes of data. And the recovery time was 20 minutes. So this is what we enable you to do. By being able to give you access to wherever you're data may be, anywhere in the world, you can- we're approaching near zero RPO and RTO. >> Mike, there's been a number of companies that come and said data protection's been broken. We've been hearing that for a while. I think right down the road from us, like Tiffeo, company that looked at data management. Companies like Cohesity and Rubric, have quite a bit of buzz. Give us a little compare, contrast how Redxio looks at it verses some of those other- >> Yeah, and I'd say again, for anybody watching I think the Forrester Research Report outlines Reduxio, Cohesity and Rubric, right? And of course Cohesity and Rubric are doing an extraordinary job. They're scaling rapidly. They've got world class in Silicon Valley money in the company. They've got a world class client base. I think the primary difference is that we are bringing that third component. We're integrating primary storage along with secondary storage in data protection. Both of them are focusing just on the secondary and the data protection. We take issue architecturally with the fact that you've got to make additional copies. We take issue with the fact that the way they're approaching this actually they're in some ways exacerbating the problem because they're creating more data. But at the same time, they're also, for a given amount of capability two to three times the cost. So what we're hearing from a lot of our customers and our vars that sell both is they're walking into a lot of more, let's call them price sensitive accounts. Where they don't believe that the incremental value of what Cohesity or Rubric is offering is easily justifiable. There's going to be some pretty extreme use cases to justify a $300,000 initial investment as you go into the data center. >> Another piece, when I talk to companies today, one of the biggest challenges they have is really figuring out what their strategy is and how that fits. You talked about tiering and how the cloud fits into it, but how does Reduxio fit in that overall cloud strategy for companies today? >> Again, it's very early in our product evolution and so with version three which we announced back in late June, we allow companies to archive to the cloud. But do instantaneous recovery from the cloud. So we have two capabilities. One is called no migrate. So there's no longer a need to migrate data. So you were at the Amazon invent show and you saw the snowmobile get rolled out. And the reason that Amazon rolled that snowmobile and at first I thought it was a joke, is because it takes an incredible amount of time and effort to move data from one data center to the next. Reduxio has this no migrate capability where if I need to move data from that data center, I set that data in motion. And I don't know if you're a Trekkie or not, but you remember the teleporter? In version three we've created a teleporter. You can move that data from the cloud and although it may take a long time for that data to actually get to its target, you can start working on that app as if that data had already been migrated. When we run usability tests, and I remember one of them very specifically. And I know that you speak a little bit of Hebrew. I speak zero Hebrew. But I can remember watching one of our Israeli customers seeing this happen and this visceral reaction, like oh my god, I can't believe they did that. So we're trying to bring that end to end ease of use experience to managing and protecting your data wherever it may be. Bringing it back with almost zero RPOs, zero RTO. >> Mike, one of the questions, I've been talking to a number of CMOs lately, and just you've worked for a number of start ups. Today, digital transformations on the mind, what's the changing role of the CMO today? What have you seen the last five to ten years that's different and exciting? >> It's a great question. And I'd say that, and again, I did my first start up in 1991. So I can't begin to tell you how much high tech marketing has changed. But everything changed with social, digital and inbound marketing. It used to be that the sales team was responsible for filling the funnel. It is very clear that is an incredibly non scalable unproductive effort. And so we now are all about acquiring high quality prospects. We're a hub spot shop. We're a highly automated shop. And we are very biased toward digital and social. Is doesn't mean that we're not going to events and things like that but we feel that the way that we're going to scale this business, especially when we compete against big guys like Dell EMC and HP and others, there's no way that we can go person to person. So I'm not a very big fan of cold calling. I'm not a very big fan of going to trade shows. And collecting business cards in fish bowls and giving away tee shirts. We really believe that our customers are too busy, the know what they need when they need it. They've built a fortress around themselves. They're getting hammered. Just like I'm a CMO. And I must get 150 LinkedIn inmails and emails a day telling me about the next great lead management service. I can't even imagine what our customers are putting up with. So our job is to find relevant personas with highly relevant content at the moment that that is relevant to them. And there's many ways to do that, but this is really what we have to do with the data. >> So, Mike, at the beginning of the conversation we talked a little bit about innovation. >> Mike: Yes. >> Those of us that have been in a while, they're too many peers of mine that I think if you say the word innovation they roll their eyes. You have the great opportunity, you're working with master students around the globe, talk to us the people coming out of those programs. What does innovation mean today? What are they looking for, from a career standpoint? >> It's a great question. I think you and I could probably go for the next three hours on this subject so we'll have to be careful. >> We'll make sure to post on the website the expanded audio. >> Okay, but I mean innovation is such an overused word. And most companies really can't spell it and they can't spell it because their culture doesn't allow for it. So first and foremost, I think any innovative company or any innovative team starts with a culture that is all about trying to manage at the bleeding edge of best practices and really understand what's current. I have the blessing of being both the Chief Marketing and Corporate Strategy Officer of Reduxio and a global professor of innovation entrepreneurship at the Hult International School of Business. I teach between 1,200 and 1,500 students a year. I teach them courses in entrepreneurship, in innovation, in digital marketing. And I run hackathons on campus. We do a lot of events that give me an insight into who's passionate about innovation. And it's one thing to think innovation is interesting, because you can get a good job. It's another thing to actually have the comfort level of living in a world of ambiguity and high velocity. So a lot of it is, I'm looking for students that really want to sort of push the envelope. And they exhibit that in the classroom, they exhibit that in hackathons. They exhibit that in some of the internships that we take. They exhibit it by getting certified on HubSpot. Without me telling them to. Getting certified on Idio without me telling them to. Going to conferences. Learning. And then me learning from them. Because nobody can know everything. It's just so much new stuff going on right now. I've now got a team of 11 people and nine of them were my former students. I had a chance to observe them in action over 18 months and they're world class. And they have that innovation gene in their DNA. We're really at a point where I'm learning from them everyday. It's a very symbiotic relationship. >> Mike, for closing comments, I want to give you the opportunity, people find out more about Reduxio. What should we be looking for in 2018? >> Yeah, and so again, the one thing is will say is we are now at 200 distinct customers. We have in a very short period of time, and you know, when you sell into the data center people don't have a real sense of humor. It's pretty important that the stuff works. So the first thing I would say is we've gotten to that point now where we've got a lot of very significant customer references across websites and a lot of peer review sites. So we're now, so 2018 is building on that foundation. I think what you're going to see from us is couple of very radically innovative new projects. One a software only project. That will allow us to drive an inflection point in growth. By making available some of our core capabilities to anybody. Whether they own a Reduxio system or not. We really want to go big now. We've validated the architecture. We've got some great early indications from the market that this stuff works as advertised. Our customers are telling us we're simplifying their lives, we're making them more productive. And 2018 is about to really kick this thing into high gear. >> Stu: Mike Grandinetti, pleasure chatting with you. Thanks so much for sharing. And thank you for watching The Cube. >> Mike: Great. (upbeat music)

the cube and hadoop summit 2014 is brought to you by anchor sponsor Hortonworks we do have do and headline sponsor when disco we make hadoop invincible okay welcome back and when we're here at the dupe summit live is looking valance the cube our flagship program we go out to the events expect a signal from noise i'm john per year but Jeff Rick drilling down on the topics we're here with wind disco welcome welcome Brett room Stein about senior director tell us what's going on for you guys I'll see you at big presence here so all the guys last night you guys have a great great booth so causing and the crew what's happening yeah I mean the show is going is going very well what's really interesting is we have a lot of very very technical individuals approaching us they're asking us you know some of the tougher more technical in-depth questions about how our consensus algorithm is able to do all this distributor replication which is really great because there's a little bit of disbelief and then of course we get to do the demonstration for them and then suspend disbelief if you will and and I think the the attendance has been great for our brief and okay I always get that you always we always have the geek conversations you guys are a very technical company Jeff and I always comment certainly de volada and Jeff Kelly that you know when disco doesn't has has their share pair of geeks and that dudes who know they're talking about so I'm sure you get that but now them in the business side you talk to customers I want to get into more the outcome that seems to be the show focused this year is a dupe of serious what are some of the outcomes then your customers are talking about when they get you guys in there what are their business issues what are they tore what are they working on to solve yeah I mean I think the first thing is to look at you know why they're looking at us and then and then with the particular business issues that we solve and the first thing and sort of the trend that we're starting to see is the prospects and the customers that we have are looking at us because of the data that they have and its data that matters so it's important data and that's when people start to come to is that's when they look to us as they have data that's very important to them in some cases if you saw some of the UCI stuff you see that the data is you know doing live monitoring of various you know patient activity where it's not just about about about a life and monitoring a life but potentially about saving the life and systems that go down not only can't save lives but they can potentially lose them so you have a demos you want to jump into this demo here what is this all about you know the demo that the demonstration that I'm going to do for you today is I want to show you our non-stop a new product i'm going to show you how we can basically stand up a single HDFS or a single Hadoop cluster across multiple data centers and I think that's one of the tough things that people are really having trouble getting their heads wrapped around because most people when they do multi data center Hadoop they tend to do two different clusters and then synchronize the data between the two of them the way they do that is they'll use you know flume or they'll use some form of parallel ingest they'll use technologies like dis CP to copy data between the data centers and each one of those has sort of an administrative burden on them and then some various flaws in their and their underlying architecture that don't allow them to do a really really detailed job as ensuring that all blocks are replicated properly that no mistakes are ever made and again there's the administrative burden you know somebody who always has to have eyes in the system we alleviate all those things so I think the first thing I want to start off with we had somebody come to our booth and we were talking about this consensus algorithm that we that we perform and the way we synchronize multiple name nodes across multiple geographies and and again and that sort of spirit of disbelief I said you know one of the key tenants of our application is it doesn't underlie it doesn't change the behavior of the application when you go from land scope to win scope and so I said for example if you create a file in one data center and 3,000 miles apart or 7,000 miles apart from that you were to hit the same create file operation you would expect that the right thing happens what somebody gets the file created and somebody gets file already exists even if at 7,000 miles distance they both hit this button at the exact same time I'm going to do a very quick demonstration of that for you here I'm going to put a file into HDFS the my top right-hand window is in Northern Virginia and then 3,000 miles distance from that my bottom right-hand window is in Oregon I'm going to put the etsy hosts file into a temp directory in Hadoop at the exact same time 3,000 miles distance apart and you'll see that exact behavior so I've just launched them both and again if you look at the top window the file is created if you look at the bottom window it says file already exists it's exactly what you'd expect a land scope up a landscape application and the way you'd expect it to behave so that is how we are ensure consistency and that was the question that the prospect has at that distance even the speed of light takes a little time right so what are some of the tips and tricks you can share this that enable you guys to do this well one of the things that we're doing is where our consensus algorithm is a majority quorum based algorithm it's based off of a well-known consensus algorithm called paxos we have a number of significant enhancements innovations beyond that dynamic memberships you know automatic scale and things of that nature but in this particular case every transaction that goes into our system gets a global sequence number and what we're able to do is ensure that those sequence numbers are executed in the correct order so you can't create you know you can't put a delete before a create you know everything has to happen in the order that it actually happened occurred in regardless of the UN distance between data centers so what is the biggest aha moment you get from customer you show them the demo is it is that the replication is availability what is the big big feature focus that they jump on yeah I think I think the biggest ones are basically when we start crashing nodes well we're running jobs we separate the the link between the win and maybe maybe I'll just do that for you now so let's maybe kick into the demonstration here what I have here is a single HDFS cluster it is spanning two geographic territory so it's one cluster in Northern Virginia part of it and the other part is in Oregon I'm going to drill down into the graphing application here and inside you see all of the name notes so you see I have three name nodes running in Virginia three name nodes running in Oregon and the demonstration is as follows I'm going to I'm going to run Terrigen and Terra sort so in other words i'm going to create some data in the cluster I'm then going to go to sort it into a total order and then I'm going to run Tara validate in the alternate data center and prove that all the blocks replicated from one side to the other however along the way I'm going to create some failures I am going to kill some of that active name nodes during this replication process i am going to shut down the when link between the two data centers during the replication paris's and then show you how we heal from from those kinds of conditions because our algorithm treats failure is a first class citizen so there's really no way to deal in the system if you will so let's start unplug John I'm active the local fails so let's go ahead and run the Terrigen in the terrorists or I'm going to put it in the directory called cube one so we're creating about 400 megabytes of data so a fairly small set that we're going to replicate between the two data centers now the first thing that you see over here on the right-hand side is that all of these name nodes kind of sprung to life that is because in an active active configuration with multiple name nodes clients actually load balance their requests across all of them also it's a synchronous namespace so any change that I make to one immediately Curzon immediately occurs on all of them the next thing you might notice in the graphing application is these blue lines over and only in the Oregon data center the blue lines essentially represent what we call a foreign block a block that is not yet made its way across the wide area network from the site of ingest now we move these blocks asynchronously from the site of in jeff's oh that I have land speed performance in fact you can see I just finished the Terrigen part of the application all at the same time pushing data across the wide area network as fast as possible now as we start to get into the next phase of the application here which is going to run terrace sort i'm going to start creating some failures in the environment so the first thing I'm going to do is want to pick two named nodes I'm going to fail a local named node and then we're also going to fail a remote name node so let's pick one of these i'm going to pick HD p 2 is the name of the machine so want to do ssh hd2 and i'm just going to reboot that machine so as I hit the reboot button the next time the graphing application updates what you'll notice here in the monitor is that a flat line so it's no longer taking any data in but if you're watching the application on the right hand side there's no interruption of the service the application is going to continue to run and you'd expect that to happen maybe in land scope cluster but remember this is a single cluster a twin scope with 3,000 miles between the two of them so I've killed one of the six active named nodes the next thing I'm going to do is kill one of the name nodes over in the Oregon data center so I'm going to go ahead and ssh into i don't know let's pick the let's pick the bottom one HTTP nine in this case and then again another reboot operation so I've just rebooted two of the six name nose while running the job but if again if you look in the upper right-hand corner the job running in Oregon kajabi running in North Virginia continues without any interruption and see we just went from 84 to eighty eight percent MapReduce and so forth so again uninterruptedly like to call continuous availability at when distances you are playing that what does continuous availability and wins because that's really important drill down on yeah I mean I think if you look at the difference between what people traditionally call high availability that means that generally speaking the system is there there is a very short time that the system will be unavailable and then it will then we come available again a continuously available system ensures that regardless of the failures that happen around it the system is always up and running something is able to take the request and in a leaderless system like ours where no one single node actually it actually creates a leadership role we're able to continue replication we're and we're also able to continue the coordinator that's two distinct is high availability which everyone kind of know was in loves expensive and then continues availability which is a little bit kind of a the Sun or cousin I guess you know saying can you put in context and cost implementation you know from a from a from a from a perspective of a when disco deployment it's kind of a continuously available system even though people look at us as somewhat traditional disaster recovery because we are replicating data to another data center but remember it's active active that means both data centers are able to write at the same time you have you get to maximize your cluster resources and again if we go back to one of the first questions you asked what are what a customer's doing this with this what a prospects want to do they want to maximize their resource investment if they have half a million dollars sitting in another data center that only is able to perform an emergency recovery situation that means they either have to a scale the primary data center or be what they want to do is utilize existing resource in an active active configuration which is why i say continuous availability they're able to do that in both data centers maximizing all their resource so you versus the consequences of not having that would be the consequences of not being able to do that is you have a one-way synchronization a disaster occurs you then have to bring that data center online you have to make sure that all the appropriate resources are there you have to you have an administrative burden that means a lot of people have to go into action very quickly with the win disco systems right what that would look like I mean with time effort cost and you have any kind of order of magnitude spec like a gay week called some guy upside dude get in the office login you have to look at individual customer service level agreements a number that i hear thrown out very very often is about 16 hours we can be back online within 16 hours really RTO 44 when disco deployment is essentially zero because both sites are active you're able to essentially continue without without any doubt some would say some would say that's contingent availability is high available because essentially zero 16 that's 16 hours I mean any any time down bad but 16 hours is huge yeah that's the service of level agreement then everyone says but we know we can do it in five hours the other of course the other part of that is of course ensuring that once a year somebody runs through the emergency configure / it you know procedure to know that they truly can be back up in line in the service level agreement timeframe so again there's a tremendous amount of effort that goes into the ongoing administrating some great comments here on our crowd chatter out chat dot net / hadoop summit joined the conversation i'll see ya we have one says nice he's talking about how the system has latency a demo is pretty cool the map was excellent excellent visual dave vellante just weighed in and said he did a survey with Jeff Kelly said large portion twenty-seven percent of respondents said lack of enterprises great availability was the biggest barriers to adoption is this what you're referring to yeah this is this is exactly what we're seeing you know people are not able to meet the uptime requirements and therefore applications stay in proof-of-concept mode or those that make it out of proof of concept are heavily burdened by administrators and a large team to ensure that same level of uptime that can be handled without error through software configuration like Linda scope so another comment from Burt thanks Burt for watching there's availability how about security yeah so security is a good one of course we are you know we run on standard dupe distributions and as such you know if you want to run your cluster with on wire encryption that's okay if you want to run your cluster with kerberos authentication that's fine we we fully support those environments got a new use case for crowd chapel in the questions got more more coming in so send them in we're watching the crowd chat slep net / hadoop summit great questions and a lot of people aren't i think people have a hard time partial eh eh versus continues availability because you can get confused between the two is it semantics or is it infrastructure concerns what is what is the how do you differentiate between those two definitions me not I think you know part of it is semantics but but but also from a win disco perspective we like to differentiate because there really isn't that that moment of downtime there is there really isn't that switch over moment where something has to fail over and then go somewhere else that's why I use that word continuous availability the system is able to simply continue operating by clients load balancing their requests to available nodes in a similar fashion when you have multiple data centers as I do here I'm able to continue operations simply by running the jobs in the alternate data center remember that it's active active so any data ingest on one side immediately transfers to the other so maybe let me do the the next part I showed you one failure scenario you've seen all the nodes have actually come back online and self healed the next part of this I want to do an separation I want to run it again so let me kick up kick that off when I would create another directory structure here only this time I'm going to actually chop the the network link between the two data centers and then after I do that I'm going to show you some some of our new products in the works give you a demonstration of that as well well that's far enough Britain what are some of the applications that that this enables people to use the do for that they were afraid to before well I think it allows you know when we look at our you know our customer base and our prospects who are evaluating our technologies it opens up all the all the regulated industries you know things like pharmaceutical companies financial services companies healthcare companies all these people who have strict regulations auditing requirements and now have a very clear concise way to not only prove that they're replicating data that data has actually made its way it can prove that it's in both locations that it's not just in both locations that it's the correct data sometimes we see in the cases of like dis CP copying files between data centers where the file isn't actually copied because it thinks it's the same but there is a slight difference between the two when the cluster diverges like that it's days of administration hour depending on the size of the cluster to actually to put the cluster you know to figure out what went wrong what went different and then of course you have to involve multiple users to figure out which one of the two files that you have is the correct one to keep so let me go ahead and stop the van link here of course with LuAnn disco technology there's nothing to keep track of you simply allow the system to do HDFS replication because it is essentially native HDFS so I've stopped the tunnel between the two datacenters while running this job one of the things that you're going to see on the left-hand size it looks like all the notes no longer respond of course that's just I have no visibility to those nodes there's no longer replicating any data because the the tunnel between the two has been shut down but if you look on the right hand side of the application the upper right-hand window of course you see that the MapReduce job is still running it's unaffected and what's interesting is once I start replicating the data again or once i should say once i start the tunnel up again between the two data centers i'll immediately start replicating data this is at the block level so again when we look at other copy technologies they are doing things of the file level so if you had a large file and it was 10 gigabytes in size and for some reason you know your your file crash but in that in that time you and you were seventy percent through your starting that whole transfer again because we're doing block replication if you had seventy percent of your box that had already gone through like perhaps what I've done here when i start the tunnel backup which i'm going to do now what's going to happen of course is we just continue from those blocks that simply haven't made their way across the net so i've started the tunnel back up the monitor you'll see springs back to life all the name nodes will have to resync that they've been out of sync for some period of time they'll learn any transactions that they missed they'll be they'll heal themselves into the cluster and we immediately start replicating blocks and then to kind of show you the bi-directional nature of this I'm going to run Tara validate in the opposite data center over in Oregon and I'll just do it on that first directory that we created and in what you'll see is that we now wind up with foreign blocks in both sides I'm running applications at the same time across datacenters fully active active configuration in a single Hadoop cluster okay so the question is on that one what is the net net summarized that demo reel quick bottom line in two sentences is that important bottom line is if name notes fail if the wind fails you are still continuously operational okay so we have questions from the commentary here from the crowd chat does this eliminate the need for backup and what is actually transferring certainly not petabytes of data ? I mean you somewhat have to transfer what what's important so if it's important for you to I suppose if it was important for you to transfer a petabyte of data then you would need the bandwidth that support I transfer of a petabyte of data but we are to a lot of Hollywood studios we were at OpenStack summit that was a big concern a lot of people are moving to the cloud for you know for workflow and for optimization Star Wars guys were telling us off the record that no the new film is in remote locations they set up data centers basically in the desert and they got actually provisioned infrastructure so huge issues yeah absolutely so what we're replicating of course is HDFS in this particular case I'm replicating all the data in this fairly small cluster between the two sites or in this case this demo is only between two sites I could add a third site and then a failure between any two would actually still allow complete you know complete availability of all the other sites that still participate in the algorithm Brent great to have you on I want to get the perspective from you in the trenches out in customers what's going on and win disco tell us what the culture there what's going on the company what's it like to work there what's the guys like I mean we we know some of the dudes there cause we always drink some vodka with him because you know likes to tip back a little bit once in a while but like great guy great geeks but like what's what's it like it when disco I think the first you know you touched on a little piece of it at first is there are a lot of smart people at windows go in fact I know when I first came on board I was like wow I'm probably the most unsmoked person at this company but culturally this is a great group of guys they like to work very hard but equally they like to play very hard and as you said you know I've been out with cause several times myself these are all great guys to be out with the culture is great it's a it's a great place to work and you know so you know people who are who are interested should certainly yeah great culture and it fits in we were talking last night very social crowd here you know something with a Hortonworks guide so javi medicate fortress ada just saw him walk up ibm's here people are really sociable this event is really has a camaraderie feel to it but yet it's serious business and you didn't the days they're all a bunch of geeks building in industry and now it's got everyone's attention Cisco's here in Intel's here IBM's here I mean what's your take on the big guys coming in I mean I think the big guys realize that that Hadoop is is is the elephant is as large as it appears elephant is in the room and exciting and it's and everybody wants a little piece of it as well they should want a piece of it Brett thanks for coming on the cube really appreciate when discs are you guys a great great company we love to have them your support thanks for supporting the cube we appreciate it we right back after this short break with our next guest thank you