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Eric Herzog, Infinidat | CUBEConversation


 

>>Hey everyone, welcome to this cube conversation. I'm your host Lisa Martin, and I have the pleasure of welcoming back our most prolific guest on the cube in its history, the CMO of Fin Ad, Eric Herzog. Eric, it's great to see you. Welcome back, >>Lisa. It's great to be here. Love being on the cube. I think this might be number 55 or 56. Been doing 'em a long time with the Cube. You guys are great. >>You, you have, and we always recognize you lately with the Hawaiian shirts. It's your brand that's, that's the Eric Hizo brand. We love it. But I like the pin, the infin nut pin on brand. Thank you. >>Yeah. Oh, gotta be on brand. >>Exactly. So talk about the current IT landscape. So much change we've seen in the last couple of years. Specifically, what are some of the big challenges that you are talking with enterprise customers and cloud service providers? About what, what are some of those major things on their minds? >>So there's a couple things. First of all is obviously with the Rocky economy and even before covid, just for storage in particular, CIOs hate storage. I've been doing this now since 1986. I have never, ever, ever met a CIO at any company I've bid with. And I've been with four of the biggest storage companies on this planet. Never met a cio. Used to be a storage guy. So they know they need it, but boy, they really don't like it. So the storage admins have to manage more and more storage. Exabytes, exabytes, it just ballooning for what a storage admin has to do. Then you then have the covid and is it recession? No. Is it a growth? And then clearly what's happened in the last year with what's going on in Europe and the, is it a recession, the inflation. So they're always looking to, how do we cut money on storage yet still get what we need for our applications, workloads, and use cases. So that's definitely the biggest, the first topic. >>So never met a CIO that was a storage admin or as a fan, but as you point out, they need it. And we've seen needs changing in customer landscapes, especially as the threat landscape has changed so dramatically the last couple of years. Ransomware, you've said it before, I say it too. It's no longer if it's when it's how often. It's the frequency. We've gotta be able to recover. Backups are being targeted. Talk to me about some of, in that landscape, some of the evolutions of customer challenges and maybe those CIOs going, We've gotta make sure that our, our storage data is protected. >>So it's starting to change. However, historically with the cio and then when they started hiring CISOs or security directors, whatever they had, depending on the company size, it was very much about protecting the edge. Okay, if you will, the moat and the wall of the castle. Then it was the network in between. So keep the streets inside the castle clean. Then it was tracking down the bad guy. So if they did get over, the issue is, if I remember correctly, the sheriff of Nottingham never really caught Robinhood. So the problem is the dwell time where the ransomware malware's hidden on storage could be as much as 200 days. So I think they're starting to realize at the security level now, forget, forget the guys on the storage side, the security guys, the cso, the CIO, are starting to realize that if you're gonna have a comprehensive cybersecurity strategy, must include storage. And that is new >>That, well, that's promising then. That's new. I mean obviously promising given the, the challenges and the circumstances. So then from a storage perspective, customers that are in this multi-cloud hybrid cloud environment, you talked about the the edge cloud on-prem. What are some of the key things from a storage perspective that customers have to achieve these days to be secure as data volumes continue to grow and spread? >>So what we've done is implement on both primary storage and secondary storage and technology called infin safe. So Infin Safe has the four legs of the storage cyber security stool. So first of all is creating an air gap. In this case, a logical air gap can be local or remote. We create an immutable snapshot, which means it can't be changed, it can't be altered, so you can't change it. We have a fenced forensic environment to check out the storage because you don't wanna recover. Again, malware and rans square can is hidden. So you could be making amenable snapshots of actually malware, ransomware, and never know you're doing it right. So you have to check it out. Then you need to do a rapid recovery. The most important thing if you have an attack is how fast can you be up and going with recovery? So we have actually instituted now a number of cyber storage security guarantees. >>We will guarantee the SLAs on a, the snapshot is absolutely immutable. So they know that what they're getting is what they were supposed to be getting. And then also we are guaranteeing recovery times on primary storage. We're guaranteeing recovery of under one minute. We'll make the snapshot available under one minute and on secondary storage under 20 minutes. So those are things you gotta look for from a security perspective. And then the other thing you gotta practice, in my world, ransomware, malware, cyber tech is basically a disaster. So yes, you got the hurricane, yes, you got the flood, yes, you got the earthquake. Yes, you got the fire in the building. Yes you got whatever it may be. But if you don't practice malware, ransomware, recoveries and protection, then it might as well be a hurricane or earthquake. It will take your data, >>It will take your data on the numbers of customers that pay ransom is pretty high, isn't it? And and not necessarily able to recover their data. So it's a huge risk. >>So if you think about it, the government documented that last year, roughly $6 trillion was spent either protecting against ransomware and malware or paying ransomware attacks. And there's been several famous ones. There was one in Korea, 72 million ransom. It was one of the Korea's largest companies. So, and those are only the ones that make the news. Most of 'em don't make the news. Right. >>So talk to me then, speaking and making the news. Nobody wants to do that. We, we know every industry is vulnerable to this. Some of the ones that might be more vulnerable, healthcare, government, public sector education. I think the Los Angeles Unified School district was just hit as well in September. They >>Were >>What, talk to me about how infin out is helping customers really dial down the risk when the threat actors are becoming more and more sophisticated? >>Well, there's a couple things. First of all, our infin safe software comes free on our main product. So we have a product called infin Guard for Secondary Storage and it comes for free on that. And then our primary storage product's called the Infin Box. It also comes for free. So they don't have to use it, but we embed it. And then we have reference architectures that we give them our ses, our solutions architects and our technical advisors all up to speed on why they should do it, how they should do it. We have a number of customers doing it. You know, we're heavily concentrated the global Fortune 2000, for example, we publicly announced that 26% of the Fortune 50 use our technology, even though we're a small company. So we go to extra lengths to a B, educated on our own front, our own teams, and then B, make sure they portray that to the end users and our channel partners. But the end users don't pay a dime for the software that does what I just described, it's free, it's included when you get you're Infin box or you're ingar, it's included at no charge. >>That's pretty differentiating from a competitive standpoint. I might, I would guess >>It is. And also the guarantee. So for example, on primary storage, okay, whether you'd put your Oracle or put your SAP or I Mongo or your sequel or your highly transactional workloads, right? Your business finance workload, all your business critical stuff. We are the first and only storage company that offers a primary guarantee on cyber storage resilience. And we offer two of them on primary storage. No other vendor offers a guarantee, which we do on primary storage. Whether you the first and right now as of here we are sitting in the middle of October. We are still the only vendor that offers anything on primary storage from a guaranteed SLA on primary storage for cyber storage resilience. >>Let's talk about those guarantees. Walk me through what you just announced. There's been a a very, a lot of productivity at Infin DAT in 2022. A lot of things that you've announced but on crack some of the things you're announcing. Sure. Talk to me specifically about those guarantees and what's in it for me as a customer. It sounds pretty obvious, but I'd love to hear it from you. >>Okay, so we've done really three different types of guarantees. The first one is we have a hundred percent availability guarantee on our primary storage. And we've actually had that for the last, since 2019. So it's a hundred percent availability. We're guaranteed no downtime, a hundred percent availability, which for our customer base being heavily concentrated, the global Fortune 2000 large government enterprises, big universities and even smaller companies, we do a lot of business with CSPs and MSPs. In fact, at the Flash Memory Summit are Infin Box ssa All Flash was named the best product for hyperscaler deployment. Hyperscaler basically means cloud servers provider. So they need a hundred percent availability. So we have a guarantee on that. Second guarantee we have is a performance guarantee. We'll do an analysis, we look at all their workloads and then we will guarantee in writing what the performance should be based on which, which of our products they want to buy are Infin Box or Infin Box ssa, which is all flash. >>Then we have the third one is all about cyber resilience. So we have two on our Infin box, our Infin box SSA for primary storage, which is a one the immutability of the snapshot and immediately means you can't erase the data. Right? Camp tamper with it. Second one is on the recovery time, which is under a minute. We just announced in the middle of October that we are doing a similar cyber storage resilience guarantee on our ARD secondary product, which is designed for backup recovery, et cetera. We will also offer the immutably snapshot guarantee and also one on the recoverability of that data in under 20 minutes. In fact, we just did a demo at our live launch earlier this week and we demoed 20 petabytes of Veeam backup data recovered in 12 minutes. 12 >>Minutes 2012. >>20 petabytes In >>12 bytes in 12 minutes. Yes. That's massive. That's massively differentiating. But that's essential for customers cuz you know, in terms of backups and protecting the data, it's all about recovery >>A and once they've had the attack, it's how fast you get back online, right? That that's what happens if they've, if they can't stop the attack, can't stop the threat and it happens. They need to get that back as fast as they can. So we have the speed of recovery on primary stores, the first in the industry and we have speed on the backup software and we'll do the same thing for a backup data set recovery as well. Talk >>To me about the, the what's in it for me, For the cloud service providers, they're obviously the ones that you work with are competing with the hyperscalers. How does the guarantees and the differentiators that Fin out is bringing to market? How do you help those cloud SPS dial up their competitiveness against the big cheeses? >>Well, what we do is we provide that underlying infrastructure. We, first of all, we only sell things that are petabyte in scale. That's like always sell. So for example, on our in fitter guard product, the raw capacity is over four petabytes. And the effective capacity, cuz you do data reduction is over 85 petabytes on our newest announced product, on our primary storage product, we now can do up to 17 petabytes of effective capacity in a single rack. So the value to the service rider is they can save on what slots? Power and floor. A greener data center. Yeah, right. Which by the way is not just about environmentals, but guess what? It also translate into operational expense. >>Exactly. CapEx office, >>With a lot of these very large systems that we offer, you can consolidate multiple products from our competitors. So for example, with one of the competitors, we had a deal that we did last quarter 18 competitive arrays into one of ours. So talk about saving, not just on all of the operational expense, including operational manpower, but actually dramatically on the CapEx. In fact, one of our Fortune 500 customers in the telco space over the last five years have told us on CapEx alone, we've saved them $104 million on CapEx by consolidating smaller technology into our larger systems. And one of the key things we do is everything is automated. So we call it autonomous automation use AI based technology. So once you install it, we've got several public references who said, I haven't touched this thing in three or four years. It automatically configures itself. It automatically adjusts to changes in performance and new apps. When I put in point a new app at it automatically. So in the old days the storage admin would optimize performance for a new application. We don't do that, we automatically do it and autonomously the admin doesn't even click a button. We just sense there's new applications and we automate ourselves and configure ourselves without the admin having to do anything. So that's about saving operational expense as well as operational manpower. >>Absolutely. I was, one of the things that was ringing in my ear was workforce productivity and obviously those storage admins being able to to focus on more strategic projects. Can't believe the CIOs aren't coming around yet. But you said there's, there's a change, there's a wave coming. But if we think about the the, the what's in it for me as a customer, the positive business outcomes that I'm hearing, lower tco, your greener it, which is key. So many customers that we talk to are so focused on sustainability and becoming greener, especially with an on-prem footprint, workforce productivity. Talk about some of the other key business outcomes that you're helping customers achieve and how it helps them to be more competitive. >>Sure. So we've got a, a couple different things. First of all, storage can't go down. When the storage goes down, everyone gets blamed. Mission. When an app goes down, no one really thinks about it. It's always the storage guy's fault. So you want to be a hundred percent available. And that's today's businesses, and I'd actually argue it's been this way for 20 years are 24 by seven by 365. So that's one thing that we deliver. Second thing is performance. So we have public references talk about their SAP workload that used to take two hours, now takes 20 minutes, okay? We have another customer that was doing SAP queries. They improved their performance three times, Not 3%, not 3%, three times. So 300% better performance just by using our storages. They didn't touch the sap, they didn't touch the servers. All they do is to put our storage in there. >>So performance relates basically to applications, workloads and use cases and productivity beyond it. So think the productivity of supply chain guys, logistics guys, the shipping guys, the finance guys, right? All these applications that run today's enterprises. So we can automate all that. And then clearly the cyber threat. Yeah, that is a huge issue. And every CIO is concerned about the cyber threat. And in fact, it was interesting, Fortune magazine did a survey of CEOs, and this was last May, the number one concern, 66% in that may survey was cyber security number one concern. So this is not just a CIO thing, this is a CEO thing and a board level >>Thing. I was gonna say it's at at the board level that the cyber security threats are so real, they're so common. No one wants to be the next headline, like the colonial pipeline, right? Or the school districts or whatnot. And everybody is at risk. So then what you're enabling with what you've just announced, the all the guarantees on the SLAs, the massively fast recovery times, which is critical in cyber recovery. Obviously resilience is is key there. Modern data protection it sounds like to me. How do you define that and and what are customers looking for with respect to modern cyber resilience versus data protection? >>Yeah, so we've got normal data protection because we work with all the backup vendors. Our in ARD is what's known as a purpose built backup appliance. So that allows you to back at a much faster rate. And we work all the big back backup vendors, IBM spectrum Protect, we work with veritas vem com vault, oracle arm, anybody who does backup. So that's more about the regular side, the traditional backup. But the other part of modern data protection is infusing that with the cyber resilience. Cuz cyber resilience is a new thing. Yes, from a storage guy perspective, it hasn't been around a long time. Many of our competitors have almost nothing. One or two of our competitors have a pretty robust, but they don't guarantee it the way we guarantee it. So they're pretty good at it. But the fact that we're willing to put our money where our mouth is, we think says we price stand above and then most of the other guys in the storage industry are just starting to get on the bandwagon of having cyber resilience. >>So that changes what you do from data protection, what would call modern data protection is a combination of traditional backup recovery, et cetera. Now with this influence and this infusion of cybersecurity cyber resilience into a storage environment. And then of course we've also happened to add it on primary storage as well. So whether it's primary storage or backup and archive storage, we make sure you have that right cyber resilience to make it, if you will, modern data protection and diff different from what it, you know, the old backup of your grandfather, father, son backup in tape or however you used to do it. We're well beyond that now we adding this cyber resilience aspect. Well, >>From a cyber resilience perspective, ransomware, malware, cyber attacks are, that's a disaster, right? But traditional disaster recovery tools aren't really built to be able to pull back that data as quickly as it sounds like in Trinidad is able to facilitate. >>Yeah. So one of the things we do is in our reference architectures and written documentation as well as when we do the training, we'd sell the customers you need to practice, if you practice when there's a fire, a flood, a hurricane, an earthquake or whatever is the natural disaster you're practicing that you need to practice malware and ran somewhere. And because our recovery is so rapid and the case of our ingar, our fenced environment to do the testing is actually embedded in it. Several of our competitors, if you want the fenced environment, you have to buy a second product with us. It's all embedded in the one item. So A, that makes it more effective from a CapEx and opex perspective, but it also makes it easier. So we recommend that they do the practice recoveries monthly. Now whether they do it or not separate issue, but at least that's what we're recommending and say, you should be doing this on a monthly basis just like you would practice a disaster, like a hurricane or fire or a flood or an earthquake. Need to be practicing. And I think people are starting to hear it, but they don't still think more about, you know, the flood. Yeah. Or about >>The H, the hurricane. >>Yeah. That's what they think about. They not yet thinking about cybersecurity as really a disaster model. And it is. >>Absolutely. It is. Is is the theme of cyber resilience, as you said, this is a new concept, A lot of folks are talking about it, applying it differently. Is that gonna help dial up those folks just really being much more prepared for that type of cyber disaster? >>Well, we've made it so it's automated. Once you set up the immutable snapshots, it just does its thing. You don't set it and forget it. We create the logical air back. Once you do it, same thing. Set it and forget it. The fence forensic environment, easy to deploy. You do have to just configure it once and then obviously the recovery is almost instantaneous. It's under a minute guaranteed on primary storage and under 20 minutes, like I told you when we did our launch this week, we did 20 petabytes of Veeam backup data in 12 minutes. So that's pretty incredible. That's a lot of data to have recovered in 12 minutes. So the more automated we make it, which is what our real forte is, is this autonomous automation and automating as much as possible and make it easy to configure when you do have to configure. That's what differentiates what we do from our perspective. But overall in the storage industry, it's the recognition finally by the CISOs and the CIOs that, wait a second, maybe storage might be an essential part of my corporate cybersecurity strategy. Yes. Which it has not been historically, >>But you're seeing that change. Yes. >>We're starting to see that change. >>Excellent. So talk to me a little bit before we wrap here about the go to market one. Can folks get their hands on the updates to in kindergar and Finn and Safe and Penta box? >>So all these are available right now. They're available now either through our teams or through our, our channel partners globally. We do about 80% of our business globally through the channel. So whether you talk to us or talk to our channel partners, we're there to help. And again, we put our money where your mouth is with those guarantees, make sure we stand behind our products. >>That's awesome. Eric, thank you so much for joining me on the program. Congratulations on the launch. The the year of productivity just continues for infinit out is basically what I'm hearing. But you're really going in the extra mile for customers to help them ensure that the inevitable cyber attacks, that they, that they're complete storage environment on prem will be protected and more importantly, recoverable Very quickly. We appreciate your insights and your input. >>Great. Absolutely love being on the cube. Thank you very much for having us. Of >>Course. It's great to have you back. We appreciate it. For Eric Herzog, I'm Lisa Martin. You're watching this cube conversation live from Palo Alto.

Published Date : Oct 12 2022

SUMMARY :

and I have the pleasure of welcoming back our most prolific guest on the cube in Love being on the cube. But I like the pin, the infin nut pin on brand. So talk about the current IT landscape. So the storage admins have to manage more and more So never met a CIO that was a storage admin or as a fan, but as you point out, they need it. So the problem is the dwell time where the ransomware malware's hidden on storage could be as much as 200 days. So then from a storage perspective, customers that are in this multi-cloud hybrid cloud environment, So Infin Safe has the four legs of the storage cyber security stool. So yes, you got the hurricane, yes, you got the flood, yes, you got the earthquake. And and not necessarily able to recover their data. So if you think about it, the government documented that last year, So talk to me then, speaking and making the news. So we have a product called infin Guard for Secondary Storage and it comes for free I might, I would guess We are the first and only storage company that offers a primary guarantee on cyber on crack some of the things you're announcing. So we have a guarantee on that. in the middle of October that we are doing a similar cyber cuz you know, in terms of backups and protecting the data, it's all about recovery of recovery on primary stores, the first in the industry and we have speed on the backup software How does the guarantees and the differentiators that Fin And the effective capacity, cuz you do data reduction Exactly. So in the old days the storage admin would optimize performance for a new application. So many customers that we talk to are so focused on sustainability So that's one thing that we deliver. So performance relates basically to applications, workloads and use cases and productivity beyond it. So then what you're enabling with what you've just announced, So that's more about the regular side, the traditional backup. So that changes what you do from data protection, what would call modern data protection is a combination of traditional built to be able to pull back that data as quickly as it sounds like in Trinidad is able to facilitate. And because our recovery is so rapid and the case And it is. Is is the theme of cyber resilience, as you said, So the more automated we make it, which is what our real forte is, But you're seeing that change. So talk to me a little bit before we wrap here about the go to market one. So whether you talk to us or talk to our channel partners, we're there to help. Congratulations on the launch. Absolutely love being on the cube. It's great to have you back.

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Derek Manky, Fortinet | CUBEconversation


 

>>Welcome to this cube conversation with 40 net. I'm your host. Lisa Martin, Derek Minky is back. He's the chief security insights and global threat alliances at 40 minutes, 40 guard labs, Derek. Welcome back to the program. >>Likewise, we've talked a lot this year. And of course, when I saw that there are, uh, you guys have predictions from 40 guard labs, global threat intelligence and research team about the cyber threat landscape for 2022. I thought it was going to be a lot to talk about with Derek here. So let's go ahead and dig. Right in. First of all, one of the things that caught my attention was the title of the press release about the predictions that was just revealed. The press release says 40 guard labs, predict cyber attacks aimed at everything from crypto wallets to satellite internet, nothing. There is no surface that is safe anymore. Talk to me about some of the key challenges that organizations in every industry are facing. >>Yeah, absolutely. So this is a, as you said, you, you had the keyword there surface, right? That, and that attack surface is, is open for attack. That's the attack surface that we talk about it is literally be pushed out from the edge to space, like a lot of these places that had no connection before, particularly in OT environments off grid, we're talking about, uh, you know, um, uh, critical infrastructure, oil and gas, as an example, there's a lot of these remote units that were living out there that relied on field engineers to go in and, uh, you know, plug into them. They were air gapped, those such low. Those are the things that are going to be accessible by Elio's low earth orbit satellites. And there are 4,000 of those out there right now. There's going to be over 30,000. We're talking Starlink, we're talking at least four or five other competitors entering this space, no pun intended. And, um, and that's a big deal because that it's a gateway. It opens the door for cyber criminals to be able to have accessibility to these networks. And so security has to come, you know, from, uh, friends of mine there, right. >>It absolutely does. We've got this fragmented perimeter tools that are siloed, the expand and very expanded attack surface, as you just mentioned, but some of the other targets, the 5g enabled edge, the core network, of course, the home environment where many of us still are. >>Yeah, yeah, definitely. So that home environment like the edge, it is a, uh, it's, it's the smart edge, right? So we have things called edge access Trojans. These are Trojans that will actually impact and infect edge devices. And if you think about these edge devices, we're talking things that have machine learning and, and auto automation built into them a lot of privilege because they're actually processing commands and acting on those commands in a lot of cases, right? Everything from smart office, smart home option, even until the OT environment that we're talking about. And that is a juicy target for attackers, right? Because these devices naturally have more privileged. They have APIs and connectivity to a lot of these things where they could definitely do some serious damage and be used as these pivot within the network from the edge. Right. And that's, that's a key point there. >>Let's talk about the digital wallet that we all walk around with. You know, we think out so easy, we can do quick, simple transactions with apple wallet, Google smart tab, Venmo, what have you, but that's another growing source of that, where we need to be concerned, right? >>Yeah. So I, I I've, I've worn my cyber security hat for over 20 years and 10 years ago, even we were talking all about online banking Trojans. That was a big threat, right? Because a lot of financial institutions, they hadn't late ruled out things like multifactor authentication. It was fairly easy to get someone's bank credentials go in siphoned fans out of an account. That's a lot harder nowadays. And so cyber criminals are shifting tactics to go after the low hanging fruit, which are these digital wallets and often cryptocurrency, right? We've actually seen this already in 40 guard labs. Some of this is already starting to happen right now. I expect this to happen a lot more in 20, 22 and beyond. And it's because, you know, these wallets are, um, hold a lot of whole lot of value right now, right. With the crypto. And they can be transferred easily without having to do a, like a, you know, EFT is a Meijer transfers and all those sorts of things that includes actually a lot of paperwork from the financial institutions. And, you know, we saw something where they were actually hijacking these wallets, right. Just intercepting a copy and paste command because it takes, you know, it's a 54 character address people aren't typing that in all the time. So when they're sending or receiving funds, they're asking what we've actually seen in malware today is they're taking that, intercepting it and replacing it with the attackers. Well, it's simple as that bypassing all the, you know, authentication measures and so forth. >>And is that happening for the rest of us that don't have a crypto wallet. So is that happening for folks with apple wallets? And is that a growing threat concern that people need to be? It is >>Absolutely. Yeah. So crypto wallets is, is the majority of overseeing, but yeah, no, no digital wallet is it's unpatched here. Absolutely. These are all valid targets and we are starting to see activity in. I am, >>I'm sure going after those stored credentials, that's probably low-hanging fruit for the attackers. Another thing that was interesting that the 2022 predictions threat landscape, uh, highlighted was the e-sports industry and the vulnerabilities there. Talk to me about that. That was something that I found surprising. I didn't realize it was a billion dollar revenue, a year industry, a lot of money, >>A lot of money, a lot of money. And these are our full-blown platforms that have been developed. This is a business, this isn't, you know, again, going back to what we've seen and we still do see the online gaming itself. We've seen Trojans written for that. And oftentimes it's just trying to get into, and user's gaming account so that they can steal virtual equipment and current, you know, there there's virtual currencies as well. So there was some monetization happening, but not on a grand scale. This is about a shift attackers going after a business, just like any organization, big business, right. To be able to hold that hostage effectively in terms of DDoSs threats, in terms of vulnerabilities, in terms of also, you know, crippling these systems with ransomware, like we've already seen starting to hit OT, this is just another big target. Right. Um, and if you think about it, these are live platforms that rely on low latency. So very quick connections, anything that interrupts that think about the Olympics, right on sports environment, it's a big deal to them. And there's a lot of revenue that could be lost in cybercriminals fully realizes. And this is why, you know, we're predicting that e-sports is going to be a, um, a big target for them moving forward. >>Got it. And tell, let's talk about what's going on with brands. So when you and I spoke a few months ago, I think it was ransomware was up nearly 11 X in the first half of a calendar year, 2021. What are you seeing from an evolution perspective, uh, in the actual ransomware, um, actions themselves as well as what the, what the cyber criminals are evolving to. >>Yeah. So to where it's aggressive, destructive, not good words, right. But, but this is what we're seeing with ransomware. Now, again, they're not just going after data as the currency, we're seeing, um, destructive capabilities put into ransomware, including wiper malware. So this used to be just in the realm of, uh, APTT nation state attacks. We saw that with should moon. We saw that with dark soil back in 2013, so destructive threats, but in the world of apt and nation state, now we're seeing this in cyber crime. We're seeing it with ransomware and this, I expect to be a full-blown tactic for cyber criminals simply because they have the, the threat, right. They've already leveraged a lot of extortion and double extortion schemes. We've talked about that. Now they're going to be onboarding this as a new threat, basically planting these time bombs. He's ticking time bombs, holding systems for, for, for ransom saying, and probably crippling a couple of, to show that they mean business and saying, unless you pay us within a day or two, we're going to take all of these systems offline. We're not just going to take them offline. We're going to destroy them, right. That's a big incentive for people to, to, to pay up. So they're really playing on that fear element. That's what I mean about aggressive, right? They're going to be really shifting tactics, >>Aggressive and destructive, or two things you don't want in a cybersecurity environment or to be called by your employer. Just wanted to point that out. Talk to me about wiper malware. Is this new emerging, or is this something that's seeing a resurgence because this came up at the Olympics in the summer, right? >>Absolutely. So a resurgence in, in a sort of different way. Right. So, as I said, we have seen it before, but it's been not too prevalent. It's been very, uh, it's, it's been a niche area for them, right. It's specifically for these very highly targeted attack. So yes, the Olympics, in fact, two times at the Olympics in Tokyo, but also in the last summer Olympics as well. We also saw it with, as I mentioned in South Korea at dark school in 2013, we saw it an OT environment with the moon as an example, but we're talking handfuls here. Uh, unfortunately we have blogged about three of these in the last month to month and a half. Right. And that, and you know, this is starting to be married with ransomware, which is particularly a very dangerous cause it's not just my wiper malware, but couple that with the ransom tactics. >>And that's what we're starting to see is this new, this resurgent. Yes. But a completely new form that's taking place. Uh, even to the point I think in the future that it could, it could severely a great, now what we're seeing is it's not too critical in a sense that it's not completely destroying the system. You can recover the system still we're talking to master boot records, those sorts of things, but in the future, I think they're going to be going after the formal firmware themselves, essentially turning some of these devices into paperweights and that's going to be a very big problem. >>Wow. That's a very scary thought that getting to the firmware and turning those devices into paperweights. One of the things also that the report talked about that that was really interesting. Was that more attacks against the supply chain and Linux, particularly talk to us about that. What did you find there? What does it mean? What's the threat for organizations? >>Yeah. So we're seeing a diversification in terms of the platforms that cyber criminals are going after. Again, it's that attack surface, um, lower hanging fruit in a sense, uh, because they've, you know, for a fully patched versions of windows, 10 windows 11, it's harder, right. For cyber criminals than it was five or 10 years ago to get into those systems. If we look at the, uh, just the prevalence, the amount of devices that are out there in IOT and OT environments, these are running on Linux, a lot of different flavors and forms of Linux, therefore this different security holes that come up with that. And that's, that's a big patch management issue as an example too. And so this is what we, you know, we've already seen it with them or I bought net and this was in our threat landscape report, or I was the number one threat that we saw. And that's a Linux-based bot net. Now, uh, Microsoft has rolled out something called WSL, which is a windows subsystem for Linux and windows 10 and windows 11, meaning that windows supports Linux now. So that all the code that's being written for botnets, for malware, all that stuff is able to run on, on new windows platforms effectively. So this is how they're trying to expand their, uh, attack surface. And, um, that ultimately gets into the supply chain because again, a lot of these devices in manufacturing and operational technology environments rely quite heavily actually on Linux. >>Well, and with all the supply chain issues that we've been facing during the pandemic, how can organizations protect themselves against this? >>Yeah. So this, this is a big thing, right? And we talked about also the weaponization of artificial intelligence, automation and all of these, there's a lot going on as you know, right from the threats a lot to get visibility on a lot, to be able to act quickly on that's a big key metric. There is how quick you can detect these and respond to them for that. You need good threat intelligence, of course, but you also truly need to enable, uh, uh, automation, things like SD wan, a mesh architecture as well, or having a security fabric that can actually integrate devices that talk to each other and can detect these threats and respond to them quickly. That's a very important piece because if you don't stop these attacks well, they're in that movement through the attack chain. So the kill chain concept we talk about, um, the risk is very high nowadays where, you know, everything we just talked about from a ransomware and destructive capabilities. So having those approaches is very important. Also having, um, you know, education and a workforce trained up is, is equally as important to, to be, you know, um, uh, to, to be aware of these threats. >>I'm glad you brought up that education piece and the training, and that's something that 49 is very dedicated to doing, but also brings up the cybersecurity skills gap. I know when I talked with Kenzie, uh, just a couple months ago at the, um, PGA tournament, it was talking about, you know, big investments in what 40 guard, 40, 40 net is doing to help reduce that gap. But the gap is still there. How do I teach teams not get overloaded with the expanding service? It seems like the surface, the surface has just, there is no limit anymore. So how does, how does it teams that are lean and small help themselves in the fact that the threat is landscape is, is expanding. The criminals are getting smarter or using AI intelligent automation, what our it teams do >>Like fire with fire. You got to use two of the same tools that they're using on their side, and you need to be able to use in your toolkit. We're talking about a security operation center perspective to have tools like, again, this comes to the threat intelligence to get visibility on these things. We're talking Simmons, sor uh, we have, you know, 40 AI out now, uh, deception products, all these sorts of things. These are all tools that need that, that, uh, can help, um, those people. So you don't have to have a, you know, uh, hire 40 or 50 people in your sock, right? It's more about how you can work together with the tools and technology to get, have escalation paths to do more people, process procedure, as we talk about to be able to educate and train on those, to be able to have incident response planning. >>So what do you do like, because inevitably you're going to be targeted, probably interacts where attack, what do you do? Um, playing out those scenarios, doing breach and attack simulation, all of those things that comes down to the skills gaps. So it's a lot about that education and awareness, not having to do that. The stuff that can be handled by automation and AI and, and training is you're absolutely right. We've dedicated a lot with our NSC program at 49. We also have our 40 net security academy. Uh, you know, we're integrating with those secondary so we can have the skillsets ready, uh, for, for new graduates. As an example, there's a lot of progress being made towards that. We've even created a new powered by 40 guard labs. There is a 40 guard labs play in our NSC seven as an example, it's, uh, you know, for, um, uh, threat hunting and offensive security as an example, understanding really how attackers are launching their, their campaigns and, um, all those things come together. But that's the good news actually, is that we've come a long way. We actually did our first machine learning and AI models over 10 years ago, Lisa, this isn't something new to us. So the technology has gone a long way. It's just a matter of how we can collaborate and obviously integrate with that for the, on the skills gap. >>And one more question on the actual threat landscape, were there any industries that came up in particular, as we talked about e-sports we talked about OT and any industries that came up in particular as, as really big hotspots that companies and organizations really need to be aware of. >>Yeah. So also, uh, this is part of OT about ICS critical infrastructure. That's a big one. Uh, absolutely there we're seeing, uh, also cyber-criminals offering more crime services now on dark web. So CAS, which is crime as a service, because it used to be a, again, a very specialized area that maybe only a handful of organized criminal organizations could actually, um, you know, launch attacks and, and impact to those targets where they're going after those targets. Now they're offering services right on to other coming cyber criminals, to be able to try to monetize that as well. Again, we're seeing this, we actually call it advanced persistent cybercrime APC instead of an apt, because they're trying to take cyber crime to these targets like ICS, critical infrastructure, um, healthcare as well is another one, again, usually in the realm of APMT, but now being targeted more by cybercriminals in ransomware, >>I've heard of ransomware as a service, is that a subcategory of crime as a service? >>Absolutely. Yeah. It is phishing as a service ransomware as, and service DDoSs as a service, but not as, as many of these subcategories, but a ransomware as a service. That's a, another big problem as well, because this is an affiliate model, right. Where they hire partners and pay them commission, uh, if they actually get payments of ransom, right? So they have literally a middle layer in this network that they're pushing out to scale their attacks, >>You know, and I think that's the last time we talked about ransomware, we talked about it's a matter of, and I talk to customers all the time who say, yes, it's a matter of when, not, if, is, is this the same sentiment? And you think for crime as a service in general, the attacks on e-sports on home networks, on, uh, internet satellites in space, is this just a matter of when, not if across the board? >>Well, yeah, absolutely. Um, you know, but the good news is it doesn't have to be a, you know, when it happens, it doesn't have to be a catastrophic situation. Again, that's the whole point about preparedness and planning and all the things I talked about, the filling the skills gap in education and having the proper, proper tools in place that will mitigate that risk. Right. And that's, and that's perfectly acceptable. And that's the way we should handle this from the industry, because we process we've talked about this, people are over a hundred billion threats a day in 40 guard labs. The volume is just going to continue to grow. It's very noisy out there. And there's a lot of automated threats, a lot of attempts knocking on organizations, doors, and networks, and, you know, um, phishing emails being sent out and all that. So it's something that we just need to be prepared for just like you do for a natural disaster planning and all these sorts of other things in the physical world. >>That's a good point. It doesn't have to be aggressive and destructive, but last question for you, how can, how is 4d guard helping companies in every industry get aggressive and disruptive against the threats? >>Yeah. Great, great, great question. So this is something I'm very passionate about, uh, as you know, uh, where, you know, we, we don't stop just with customer protection. Of course, that is as a security vendor, that's our, our primary and foremost objective is to protect and mitigate risk to the customers. That's how we're doing. You know, this is why we have 24 7, 365 operations at 40 guy labs. Then we're helping to find the latest and greatest on threat intelligence and hunting, but we don't stop there. We're actually working in the industry. Um, so I mentioned this before the cyber threat Alliance to, to collaborate and share intelligence on threats all the way down to disrupt cybercrime. This is what big target of ours is, how we can work together to disrupt cyber crime. Because unfortunately they've made a lot of money, a lot of profits, and we need to reduce that. We need to send a message back and fight that aggressiveness and we're we're on it, right? So we're working with Interpol or project gateway with the world economic forum, the partnership against cyber crime. It's a lot of initiatives with other, uh, you know, uh, the, uh, the who's who of cyber security in the industry to work together and tackle this collaboratively. Um, the good news is there's been some steps of success to that. There's a lot more, we're doing the scale of the efforts. >>Excellent. Well, Derek as always great and very informative conversation with you. I always look forward to these seeing what's going on with the threat landscape, the challenges, the increasing challenges, but also the good news, the opportunities in it, and what 40 guard is doing 40 left 40 net, excuse me, I can't speak today to help customers address that. And we always appreciate your insights and your time we look forward to talking to you and unveiling the next predictions in 2022. >>All right. Sounds good. Thanks, Lisa. >>My pleasure for Derek manky. I'm Lisa Martin. You're watching this cube conversation with 40 net. Thanks for watching.

Published Date : Nov 19 2021

SUMMARY :

Welcome to this cube conversation with 40 net. First of all, one of the things that caught my attention was the title of the press And so security has to come, you know, from, uh, friends of mine there, right. the expand and very expanded attack surface, as you just mentioned, but some of the other targets, So that home environment like the edge, it is a, Let's talk about the digital wallet that we all walk around with. Well, it's simple as that bypassing all the, you know, authentication measures and so forth. And is that a growing threat concern that people need to be? and we are starting to see activity in. Talk to me about that. And this is why, you know, we're predicting that e-sports is going to be a, So when you and I spoke a few months ago, and probably crippling a couple of, to show that they mean business and saying, unless you pay us within a day or Aggressive and destructive, or two things you don't want in a cybersecurity environment or to be called by your employer. And that, and you know, this is starting to be married with ransomware, but in the future, I think they're going to be going after the formal firmware themselves, essentially turning some of these devices into paperweights the supply chain and Linux, particularly talk to us about that. And so this is what we, you know, we've already seen it with them or I bought net and this was in our threat landscape report, automation and all of these, there's a lot going on as you know, right from the threats a lot to get visibility you know, big investments in what 40 guard, 40, 40 net is doing to help We're talking Simmons, sor uh, we have, you know, 40 AI out now, uh, as an example, it's, uh, you know, for, um, uh, threat hunting and offensive security as an example, as really big hotspots that companies and organizations really need to be aware organizations could actually, um, you know, launch attacks and, and impact to those targets where they're going So they have literally a middle layer in this network that they're pushing out to scale a lot of attempts knocking on organizations, doors, and networks, and, you know, It doesn't have to be aggressive and destructive, but last question for you, how can, uh, you know, uh, the, uh, the who's who of cyber security in the industry to work together and tackle I always look forward to these seeing All right. You're watching this cube conversation with 40 net.

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Jaspreet Singh and Stephen Manley | CUBEconversation


 

>>Well, hi everybody, John Walls here on the cube. And thank you for joining us here for this cube conversation today. And we're talking about data. Of course, it's a blessing and the respect that it's become such a valuable asset. So many companies around the world, it's also a curse, obviously, because it is certainly can be vulnerable. It is under attack and Druva is all about protecting your data and preventing those attacks. And with us to talk about that a little bit more in depth as Jaspreet Singh, who is the founder and CEO at Druva and Steven Manley, who was the company's CTO. Gentlemen, thanks for being with us here on the queue. Good to see you. >>Thank you. Thank you, John. >>So Jaspreet, let me just begin with you. Let's, let's talk about the larger picture of data these days. And, and we read, it seems as though every day about some kind of invasion, you know, where some ransomware attack it's become all too commonplace. So if you wouldn't maybe just set the stage a little bit for the state of ransomware here in 2021. >>That's right. John, I think Lansing has now a new national security threat and at the scene, uh, all around us, this, uh, almost every single day, we hear about businesses getting hit with a, a new ransomware attack, uh, ransomware 1.0 was more a malware situation impacting our data. And as you know, the pandemic transformed the entire data landscape, like the application, the terror, the entire supply chain delivery model as to be more online, more connected, which, you know, for this mortar stores, this whole approach towards a malware coming in, we're also seeing ransomware 2.0, it is all about like insider techs or, or, or in general security misconfiguration, which could lead to data being exfiltrated or traded off in the market. So in general, as data is far more connected, far more expected to be online security techs from either malware or human oriented security issues are becoming more and more dominant threat to, to our, our entire data landscape. Right? >>Yeah. So, so Steven, if you would, I'd like you to just to follow up on this, this, uh, uh, will the landscape to take one of Jaspreet's terms here about what you're seeing in terms of, of kind of these evolving threats now, um, used to be probably, I don't know, five, six years ago, it was a very different, uh, set of problems and challenges and companies maybe weren't as laser focused as they are now. Um, maybe take us through that, that process, what has happened with regard to the client base that you see and you're working with in terms of their recognition and other steps that they need to take going forward as they modernize their operations? >>Yeah. You know, I th I think there's, there's two things we see from, uh, from sort of a technical perspective. The first one is in just pre-call that ransomware 1.0, ransomware 1.0, uh, is mainstream at this point, you know, so, so you, you can go out there and you don't have to be an expert hacker there's ransomware as a service. You know, your average, your average teenager can basically download a ransomware attack kit, uh, you know, get, get a pretty lightweight cloud account and attack school districts, hospitals, municipal organizations, whatever it is, you know, with what we would consider the traditional ransomware and, and that's become ubiquitous. And that's why we see all these reports of, there are multiple ransomware attacks every minute, you know, in the United States and around the world. So, so that's, that's, that's one part which is you're going to get hit. >>Now you'll probably get heading in with the more traditional ransomware, but, you know, like any industry, the ransomware people have evolved. And so it's as just breed said, they are constantly innovating. And so what we're seeing now from, uh, from sort of a marketplace standpoint is, you know, getting smarter about the ransomware attack. So, so laying low, longer, uh, you know, sort of corrupting or attacking data a little bit more slowly. So it's harder to detect specifically attacking backup infrastructure so that you won't be able to recover exfiltrating data. So that, so that now you can have sort of two types of threats, one that your data is encrypted, and the other is if you don't pay us, we're just going to post it on the internet. So, so you've got stage one, which is ubiquitous, and you've got to protect yourself against that because anyone can be attacked at any time. And then you've got stage two where it's getting smarter and that's where organizations then have to step up their game and say, I've got to keep my backup safer. Uh, I've got to be able to detect things a little bit more easily, and I need to start really understanding my data footprint. So I understand what can be exfiltrated and what that's going to mean to me as a business. >>So, Jess, um, to that point, that Steven was just talking about how the organizations need to get smarter in terms of your communications that you're having with the folks in the C-suite, um, is that point, is that you, if they readily identified today, I mean, are, do they get it, um, are the, is the communication going out to their stakeholders, are the business priorities being aligned appropriately? I mean, what, what are organizations and specifically on that executive level, what are they doing right now? Um, in terms of, of preparation in terms of protections that, that, uh, again, are so necessary, I would think. >>Yeah, absolutely. So I think we do see customers truly making strides to solving the problem. There's not a one facet that, you know, one solution fits all problem either, right? So there's, there's, there's, there's a whole productive nature of preventing ransomware detection and response. There's a readiness aspect of it, but what happens when you do get here now that recovery element to it, how do I recover in time in shape from a attack like this, the customers are evolving. They're understanding at the same time, they actually deploying appropriate technologies to, to put all the three aspects of solving the solution. What does Stickney like any of the security challenge? This is, uh, you know, there's not a one application solve all problems. Typically the OLAP and controls built by a multiple group and multiple parties to make sure you're ready to response towards a tech like this. >>And just to jump in, because one of the things I find fascinating as we go through this, the customer conversations I have, I've I've been doing, you know, sort of data protection for a long time. We won't get into that, but, but most of my time I'd spent talking to, you know, VPs of it. Maybe I'd see a CIO. It's fascinating. Now we will have conversations with boards of directors because it becomes such a big issue. And the focus is, is, is so different, right? Because they understand that this isn't just like a usual backup and recovery, or even the traditional disaster recovery that you might do from a natural disaster or some sort of hardware outage. They're seeing that there are so many stages now to an orchestrator recovery. These customers we work with where it's, it's, it's not just about, I need a little bit to technology. They're really looking for how do I operationalize all of this? You know, because once you're up at the board of directors, this is no longer a which product is better than X, Y, or Z. It's a discussion about who can really insulate me from the risk, because these, these can be business sending events. If you're not careful, >>Right? I mean, you're ready. This is a great point. And actually, Steven, I hadn't really thought about these fiduciary responsibilities that boards have. And obviously we think about operations. We think about PNL, right? We think about all, but I hadn't really thought about how also data protection. And I want to talk about data resiliency, how those come into play, as well as those board decisions are made. So let's talk about resiliency. I want you guys to explain this concept to me. Um, so the, you know, what, what's the distinction between protection and resiliency because to me, they're, they're maybe not exactly synonymous, but they're kind of cousins in some respects. So a Jaspreet, if you will talk about resiliency and how you define that. >>Sure. So I just see what I mentioned, right? The prediction was more about how do I actually save guard my data to actually, you know, recover from an incident right there, didn't say residency is all about being ready to respond in time, right? The forward-leaning pusher of making sure, you know, am I ready to not just recover from a very, uh, you know, age, old problem of application failure or, or human errors, but also a cyber attack or a, you know, a true age incident or a cyber recovery or security incident, which I'm prepared to respond in a appropriate SLA across the board. Right. Uh, and resiliency also goes beyond, you know, just the nature of data itself, right? You're, you're talking about applications, environments ecosystem to truly understand that the enterprise operation needs it. Data needs to be holistic. We talked through how do I get my business online, faster. Right. And that's the two nature of differentiation between, uh, protection going towards resiliency. >>And then as obviously driving a lot of your product development. Right. And, and, and I know you've got the data resilience, resiliency, cloud, um, service that you're offering now. So Steven blitz blitz, let's dive into that a little bit. Um, what was the Genesis of that offering and, and what do you see as its primary advantages to your clients? >>Yeah, so, so I think, I think there's, there's really those, those tier two key words there it's resiliency and it's cloud. So just brief, kind of walked about how your resiliency is that step forward. It's that shift left, whatever term you want to use. To me, the best part about the cloud is, and like I said, I've been doing this for a long time and I've yet to meet a customer. Who's come to me and said, I really wish I could spend more money and more time on my data protection infrastructure. I love sticking together, multiple separate products. It's just a great use of my time. Right? Nobody says that what they really say is, could you just solve this problem for me? This is, this is hard capacity planning and patching and upgrades and tying together all the different components from up to seven different vendors. >>This is hard work. And I just need this to work. I need this to work seamlessly. And so we, we, we looked at that cloud part and we said, well, when you think of cloud, you think of something that's flexible. You think of something that's on demand. You think of something that does the job for you. And so, you know, when we talk about this data resiliency cloud, it's about, you know, moving onto your front foot, getting aggressive, being ready for what's coming, but having, you know, frankly, Druva do it for you as opposed to saying here's some technology, good luck. You know, Mr. And Mrs. Customer, you know, we've got this solved for you, it's our job to take care of it. >>And to add to it, you know, this entire resiliency question cannot be solved to a simple, a software is approach is a fundamental belief because the same network, the same principles of operation, the same people involved, you know, what, what those are involved around the primary application that the resiliency aspect has to be air gap appropriately, not just at the data level, but ID and operations limit as well. Right? So a notion of a cloud, almost a social distancing for your data, right? And you're in your ego to the enterprise that, Hey, if anything happens to my primary network application stack data, my second Bree cloud, my redundancy cloud is ready to respond inappropriate, define SNDs to recover my Buddhist business holistically as a combination of integrating with SecOps as a combination of truly integrating disaster recovery elements with cyber recovery elements, truly understanding application recovery from a backup and recovery point of view. So holistically understanding the notion of resiliency and simplifying it to the elements of public cloud. Yes, sir. >>How do you bend that for your clients? Because as you both pointed out, they have different needs, right? And they have, they have different obviously different that they're involved in different sectors of different operations with different priorities and all that. How is the data resiliency cloud, uh, providing them with the kind of flexibility and aid, the kind of adaptability that you need in order to conform it for what you need and not necessarily, you know, what someone else in another sector is, is all about. >>So, so for me, there's a couple of things that, that is great about, about being the data resiliency cloud. One is that we've got well over 3,500 customers, which means that no matter what segment you're looking in, you're not going to be alone, right? If you're, if you're healthcare, if you're finance, if you're a manufacturing, Druva, Druva understands, you know, what you, and many of, of your similar sort of companies look like, which enables us to work in a lot of ways and enables us to understand what trends are happening across your industry, whether it's, you know, ransomware attacks that are coming across, you know, say manufacturing space and how those look or what data growth looks like, or what type of applications are important in those industries. So it's, it's really useful for us to be able to say, we understand these different verticals because we've got such a broad customer base. >>I think the second thing that comes in then is every customer. I meet the number one question they asked me, and Amanda might not be the first one, but it's the one they want to ask. It's always, how am I doing compared to everybody else? And so it's really useful to, to be able to sit down and say, look in your industry. This is what we see as the standards right now. So this is where you fall. You're sort of maybe a stage two, everybody else's at stage three will help you move forward. You, our industry as a whole is actually ahead of many of the other industries, but this is what's coming next for it for others. And so it's really useful for those customers to understand where they sit in respect to, to sort of the broader marketplace. And so that's one of the values I think we bring is that we do have such a broad understanding of our customers because we are a service as opposed to just selling software. >>Yeah. And those customers too, um, as you've talked about, they're looking maybe at their, their, their competitive landscape and trying to decide, okay, are we keeping up with the Joneses, so to speak? Um, but all of you, all of us, we're all trying to, we're trying to keep up with the bad guys. And so in terms of that going forward, what does that challenge for you at Druva in terms of being anticipatory in terms of trying to recognize, uh, their trends and their movements and, and therefore we're thinking so that you can be that, that great, uh, protective mechanism, you can be that prophylactic measure that stands between a company and something bad from happening. >>So I I'll start. And then, uh, it's funny cause, uh, you know, just breed and I had just this morning, we were actually talking about some of the future of ransomware protection and one of the things that we are using a lot in driven, and I get every company says they're doing it is the use of AIML, especially in detecting, uh, sort of unusual trends. Um, but, but you know, but I think we're different than most because the AIML we use is again, across, you know, two and a half billion backups every year, right? Because we, we get, we get visibility across everybody. So it's not just isolated, but we're looking at things like, you know, unusual access patterns in the data and usual access patterns based on administrators, because like Jaspreet said, said at the beginning, one of the things we see the ransomware attackers doing is they're trying to get entire control of your environment because if I control your environment, if I control your phone system, your email, I can get control of your backup application and delete everything. >>So we're even doing things to sort of prevent, oh, you know, we were getting unusual administrative access patterns. Let's stop that. We're getting unusual recovery patterns. Maybe that's somebody trying to steal data out. Let's track that. So our use of AIML is across a much broader data set than anybody else. And it's looking at a lot more than just, you know, sort of data, data pattern changes took to a much broader set of things. And, and basically, again, it's, it's sort of a, a bi-weekly meeting we have where Jaspreet comes in with more ideas that basically for our, for, for our team to start to go, what else can we do? Because the landscape keeps changing. >>And on top of it, I think also if you think about data protection or even data storage was never designed from a security point of view, it was always designed from a point of view of recoverability of data tool. Application issues are basically not corruption, but security or the thinking help us also fundamentally understand how do we think about elements of zero trust all around the platform and how do you make sure to what Steven mentioned, if your IDP gets compromised, if you do have a bad actor, enter a data protection solution, make us, how do you still make sure levels of automatization immutability like multiple levels of control that it plays to make sure no bad actor take construct control and true recoverability resiliency is possible across a variety of scenarios and Trudy customer driven SLA. So both foundationally, uh, we've, we've truly built something which is now, uh, it's very deep in and focused on security. The same time as Steven mentioned to understanding of customer landscape really helps us understand bad actors thought more, better, and more faster than many of our, uh, in the industry competition. >>Well, the need is great. That's for sure. And gentlemen, I want to thank you for the time today to talk about, uh, what Druva is doing and wish you continued success down the road. Thanks to you both. >>Thank >>You. All right. We've been talking about data, keeping it safe, keeping your data safe. That's what Druva is all about. And I'm John Walls and you've been watching the cube.

Published Date : Nov 17 2021

SUMMARY :

And thank you for joining us here for this cube conversation today. Thank you, John. you know, where some ransomware attack it's become all too commonplace. as to be more online, more connected, which, you know, for this mortar stores, this whole approach towards to the client base that you see and you're working with in terms of their recognition And that's why we see all these reports of, there are multiple ransomware attacks every minute, you know, So it's harder to detect specifically attacking backup infrastructure so that you won't is the communication going out to their stakeholders, are the business priorities being aligned appropriately? This is, uh, you know, there's not a one application solve all problems. the customer conversations I have, I've I've been doing, you know, sort of data protection for a long Um, so the, you know, what, what's the distinction between protection and guard my data to actually, you know, recover from an incident right there, didn't say residency and, and what do you see as its primary advantages to your clients? It's that shift left, whatever term you want to use. And so, you know, when we talk about this data resiliency cloud, it's about, you know, moving onto And to add to it, you know, this entire resiliency question cannot be solved to a simple, to conform it for what you need and not necessarily, you know, what someone else in another sector Druva understands, you know, what you, and many of, of your similar sort of companies So this is where you fall. that great, uh, protective mechanism, you can be that prophylactic measure that stands between And then, uh, it's funny cause, uh, you know, So we're even doing things to sort of prevent, oh, you know, we were getting unusual administrative around the platform and how do you make sure to what Steven mentioned, if your IDP gets compromised, And gentlemen, I want to thank you for the time today to talk about, And I'm John Walls and you've been watching the cube.

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David Noy & Rob Emsley | CUBEconversation


 

(upbeat music) >> Welcome to this CUBE Conversation. My name is Dave Vellante and we're going to talk about data protection in the age of ransomware. It's a top of mind topic. And with me are two great guests and CUBE alumnus, David Noy, Vice Presidents of Product Management at Dell Technologies and Rob Emsley, Director of Data Protection Product Marketing at Dell. Guys, welcome back to the CUBE, it's good to see you both. >> Oh, thanks so much, I appreciate it. Thanks for having us. >> Yeah, thanks a lot Dave. >> Hey David, let me start with you. Maybe we could look at the macro, the big picture at Dell for cyber security. What are you seeing out there? >> You know, I'm seeing an enormous amount of interest in cybersecurity obviously driven by a string of recent events and the presidential executive order around cybersecurity. Look, we're in unprecedented times where, you know, disaster readiness is not just about being prepared for a wildfire or a sprinkler going off in your data center. It's around a new class of malicious attacks that people just have to be ready for. And it's not even a question of if it's going to happen, it's a question of when it's going to happen. We know it's going to happen, you're going to get hit by them. And so we go beyond just thinking about, hey, how do you build in technical capabilities into the product to make it difficult for attackers? We actually want to get predictive. We want to use advanced technologies and capabilities like artificial intelligence and machine learning to go out and scan users environments and look at their data which is really the lifeblood of a business and say, hey, we can see that there is potentially an attack looming. We can start to look for dormant attack vectors. And as soon as something bad is happening because we know something bad is going to happen, we can help you quickly recover the restore or figure out which restore point to recover from so you can get your business back and operational as soon as possible. >> Great, thank you for that, David. Hey Rob, good to see you. You know, we've seen a lot of changes recently kind of as David was referencing, it used to be okay, cybersecurity, that's the domain of the SecOps team and, you know, the rest of the company said, okay, it's their problem. You know, data protection or backup, that was the backup admin. Those two worlds are kind of colliding together. We use terms like cyber resiliency now. It's a sort of super set of, if you will, of the traditional cybersecurity. So how can organizations get ahead of these cyber threats when you engage with customers? Do you have any sort of specific angles or tooling that you use to help? >> Yeah, Dave, there's a couple of things to unpack there. You know, I think one of the things that you call out is cyber resiliency. You know, I think there's a balancing act that customers are all working through between cybersecurity and cyber resiliency. On the left-hand side of the balancing act, it's, you know, how can I keep bad things out of my network? And the reality is that it's very difficult, you know, to do that. You know, there's many applications that customers have deployed to protect the perimeter. But as you know, many cyber threats, you know, are manifested from inside of the perimeter. So what we're seeing is customers starting to invest more in making themselves cyber resilient organizations, you know, and as David mentioned, it's not the if, it's the when. The question is, how do you respond to when a cyber attack hits you? So one of the things that we introduced pointing back six months ago is a globally available cyber resiliency assessment. And we worked in collaboration with the Enterprise Strategy Group and we put out a free online assessment tool to allow customers to really answer questions around, you know, a big part of the NIST framework, around detection, protection and recovery. And we give customers the opportunity to get themselves evaluated on, are they prepared? Are they vulnerable? Or are they just, you know, black and white exposed? You know, what we found over the last six months is that over 70% of the people that have taken this cyber resiliency assessment fall into that category of they're vulnerable or they're exposed. >> Right, thank you for that. Yeah, the guys at ESG do a good job in that they have deep expertise in that space. And David, Rob just talked about sort of the threats from inside the perimeter and, you know, any person, you don't even need a high school diploma to be a ransomwarist, you can go on the dark web. You can acquire ransomware as a service. If you have access to a server and are willing to put a stick in there and do some bad things or give credentials out, hopefully you'll end up in handcuffs. You know, but more often than not, people are getting away with really, you know, insidious crime. So how is Dell, David helping customers respond to the threat of ransomware? >> So, you know, as I mentioned earlier, the product approach is pretty sophisticated. You know, you're right, somebody can come and just put a USB stick into a machine or if they have administrative access, they can figure out a code that they've either been given because, you know, the trust has been placed in the wrong place or they've somehow socially engineered out of someone. Look, it's not enough to just say, I'm going to go lock down my system. Someone who's gained access can potentially gain access to other systems by hopping through them. We take a more of a vault based approach which means that when you create a cyber vault, it's essentially locked down from the rest of your environment. Your cyber criminal is not able to get to that solution because it's been air gapped. It's kept somewhere else completely separate from other network but it also has keys and to the keys to the kingdom or that it opens up only at a certain time of day so it's not vulnerable to coming in at any time. It goes and requests data, it pulls the data and then it keeps that immutable copy in the vault itself. So the vault is essentially like a gated off, modded off environment that an attacker cannot get into. If you find that there was an attack or if an attack has occurred in which an attack will occur sooner or later, you then can basically prevent that attacker from getting access into that vaulted environment before that next opening event occurs. We also have to go back and look at time because sometimes these attackers don't instantiate all at once, I'm going to basically go and encrypt all your data. They take a more of a graduated approach. And so you have to go and look at patterns, access patterns of how data has actually changed and not just look at the metadata, say, okay, well, it looks like the data changed at a certain time. You have to look at the data contents. You have to look at the, if there's a file type. Often times, you can actually analyze that as well and say, hey, this given file whether it's a PowerPoint file or an Excel file or one of the a hundred or a thousand different file types should look like this, it doesn't look like that inside. What are many of the solutions that look for these attackers do is they're just looking at metadata access and then potentially just entropies or how fast things are changing. Well, it's changing faster than it normally would. That's not enough. And the attackers are just going to get smarter about how they go and change things. They're going to change it so that they don't change file suffixes or they don't change them with a very high entropy rate. And without using some kind of a system that's actually constantly tuning itself to say, hey, this is how these attack vectors are evolving over time, you're going to miss out on these opportunities to go and protect yourself. So we have also a constantly evolving and learning capability to go in and say, okay, as we see how these attack vectors are evolving to adapt to the way that we defend against them, we're going to also (audio glitches) other practices to make sure that we account for the new models. So it's a very adaptable kind of, it really is artificial intelligence form of protecting yourself. >> Can I ask you a question, David, just a follow-up on the immutable copy? Where does that live? Is it kind of live on prem? Is it in the cloud, either? >> Both, so we have the ability to put that on prem. We have the ability to put that in a second data center. We have the ability to keep that actually in a colo site so basically, completely out of your data center. And we've got the ability to keep that in the cloud as well. >> The reason I ask is because I just, you know, putting my paranoid SecOps hat on and I'm no expert here but I've talked to organizations that say, oh yeah, it's in the cloud, it's a service. Say, okay, but it's immutable? Yeah, it's write once, read many. You can't erase it. I go, okay, can I turn it off? Well, no, not really. Well, what if I stopped paying for the service? Well, we'd send a notice out. I said, okay, wait a minute. So am I just being too paranoid here? How do you handle that objection? >> Of turning it off? >> Yeah, can I turn it off or can you make it so that nobody can turn it off? >> Oh yeah, that's a good question. So actually what we're building into the product roadmap is the ability to that product actually self inspect and to look at. Whether or not even the underlying, so for example, if the service is running in a virtual machine. Well, the attacker could say, let me just go attack the virtual machine and it infect it and basically turn itself off even in an on-prem, nevermind in the cloud. And so we're looking at building or we're building into the roadmap, a lot more self inspection capabilities to make sure that somebody isn't going to just shut down the service. And so that kind of self resiliency is critical even to a vaulted solution which is air gapped, right? To your point. You don't want someone going, well, I can just get around your solution. I'm just going to go shut it down. That's something that we're getting at. >> So this talks, I think for the audience, this talks it's like an ongoing game of escalation and you want to have a partner who has the resources to keep up with the bad guys cause it's just the constantly, you know, upping the ante, Rob, you guys do a survey every year, the Global Data Protection Index. Tell us about that. What are the latest results? You survey a lot of people. I'm interested in, you know, the context of things like remote work and hybrid work, it's escalated the threat. What are you seeing there? >> Yeah, so as you mentioned, the Global Data Protection Index, we survey over a thousand IT executives, you know, around the globe. And in the most recent study, we absolutely started to ask questions specifically around, you know, customer's concerns with regards to cybersecurity. And we found that over 60% of the customer surveyed, you know, really are concerned that they don't feel that they are adequately prepared to respond to cyber threats that they see, unfortunately on a day-to-day basis. You know, certainly, you know, as you mentioned, the work from anywhere, learn from anywhere reality that many customers are dealing with, you know, one of the concerns that they have is the increased attack surface that they now have to deal with. I mean, the perimeter of the network is now, you know, much broader than it ever has been in the past. You know, so I think all of this leads, Dave, to cybersecurity discussions and cyber resiliency discussions being top of mind for really any CIO, their CSO in any industry. You know, in the days of old, you know, we used to focus at the financial services industry, you know, as, you know, a bunch of customers that we, you know, could have very relevant conversations with but now, you know, that is now cross industry-wide. There isn't a vertical that isn't concerned about the threats of cyber security and cyber attacks. So, you know, when we think about our business especially around data vaulting with our PowerProtect portfolio but also with our PowerScale portfolio, with our unstructured data storage solutions. You know, when we're really having constant conversations of brand, how do you make your environment more cyber resilient? And, you know, we've been seeing, you know, rapid growth in both of those solution areas, both implementing extensions of customers, backup and recovery solutions, you know, but also, you know, in the environments where, you know, we're deploying, you know, large scale unstructured storage infrastructure, you know, the ability to have real-time monitoring of those environments and also to extend that to delivering a vaulted solution for your unstructured storage are all things that are leading us to, you know, work with customers to actually help them become more cyber resilient. >> Great, thanks. The last question and maybe for both of you. Maybe Rob you start and David you can chime in. I'm interested in what's exciting you guys, what's new in the portfolio, are there new features that you're delivering that map to the current market conditions? I mean, your unique value proposition and your capabilities have shifted. You have to respond to the market changes over the left last 18 to 24 months whether it's cyber, ransomware, the digital transformation, what's new in the portfolio and what's exciting you guys. >> So Dave, yes, so quite recently we, you know, as well as, you know, running an event specifically to talk about protection and the age of ransomware and to discuss many of the things that we've covered on this call. You know, data protection is still a foundational technology to help customers become, you know, more secure and, you know, reduce their risk profiles. So innovation that we delivered very recently, you know, it's really in three specific areas, you know, VMware Data Protection, NAS Data Protection and then, you know, also, you know, we introduced a tech preview of a direction that we're taking to expand the scalability and manageability of our PowerProtect appliances. So transparent snapshots delivers capabilities to help customers better protect their VMware environment without the concern of disrupting their production applications when they're doing backup and recovery of virtual machines. Dynamic NAS protection moves away from the age old mechanism of NDMP and provides a much more performance and scalable solution for protecting all of that unstructured data running on NAS infrastructure. And then last but not least to say the tech preview of Smart Scale which is our new solution and architecture to allow customers to pull together multiple power of attack appliances within their data sensors and give them a much easier way of managing the PowerProtect appliances that they have and scaling them environment by implementing a federated namespace to align on them to get support in that environment. >> Nice, some great innovations there. All right, David bring us home. What's exciting you? You shared a little bit with the roadmap of... >> Yeah, look, I think all of this is about operations today. Every enterprise is 24/7. It doesn't matter what vertical you're in, right? Downtime is unacceptable. And whether that means whether it's downtime because you got hit by a malicious attacker, it means downtime because you were caused by disruption of virtual machine instances to Rob's point during the backup process. And we can't interrupt those processes, we can't impact their performance. It means, you know, making sure that your largest unstructured repositories in NAS deployments can be backed up in a time that makes sense so that you can meet your own SLAs. And it means that with a smart scale product there are ability to go and say, okay, as you're expanding your backup target environment, we can do that in a seamless fashion without disrupting your backup operations and your day-to-day operations. All of this is around making sure that we minimize the amount of disruption that our end users experience either because of malicious attacks or because of day-to-day operations and making, you know, making sure that those businesses really can operate 24/7. And that is the crux of a really true enterprise solution for data protection >> Guys, very important topic, really appreciate you coming on the CUBE. Great conversation and keep up the good work of protecting our data. >> Well, Dave, thanks. >> Thanks Dave. >> All right, and thanks everybody for watching this CUBE conversation. This is Dave Vellante and we'll see you next time. (gentle music)

Published Date : Nov 9 2021

SUMMARY :

it's good to see you both. Thanks for having us. What are you seeing out there? into the product to make and, you know, the rest the things that you call out to be a ransomwarist, you because, you know, the We have the ability to put because I just, you know, is the ability to that you know, upping the ante, You know, in the days of old, you know, over the left last 18 to 24 months and then, you know, also, you know, You shared a little bit and making, you know, making sure really appreciate you coming on the CUBE. we'll see you next time.

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Infinidat Power Panel | CUBEconversation


 

[Music] hello and welcome to this power panel where we go deep with three storage industry vets two from infinidat in an analyst view to find out what's happening in the high-end storage business and what's new with infinidat which has recently added significant depth to its executive ranks and we're going to review the progress on infinidat's infinibox ssa a low-latency all-solid state system designed for the most intensive enterprise workloads to do that we're joined by phil bullinger the chief executive officer of it finidet ken steinhardt is the field cto at infinidat and we bring in the analyst view with eric bergener who's the vice president of research infrastructure systems platforms and technologies group at idc all three cube alums gents welcome back to the cube good to see you thanks very much dave good to be here thanks david as always a pleasure phil let me start with you as i mentioned up top you've been top grading your team we covered the herzog news beefing up your marketing and also upping your game and emea and apj go to market recently give us the business update on the company since you became ceo earlier this year yeah dave i'd be happy to you know the uh i joined the company in january and it's been a it's been a fast 11 months uh exciting exciting times at infinidad as you know really beginning last fall the company has gone through quite a renaissance a change in the executive leadership team uh i was really excited to join the company we brought on you know a new cfo new chief human resources officer new chief legal officer operations head of operations and most recently as has been you know widely reported we brought in eric to head up our marketing organization as a cmo and then last week richard bradbury in in london to head up international sales so very excited about the team we brought together it's uh it's resulted in or it's been the culmination of a lot of work this year to accelerate the growth of infinidat and that's exactly what we've done it's the company has posted quarter after quarter of significant revenue growth we've been accelerating our rate and pace of adding large new fortune 500 global 2000 accounts and the results show it definitely the one of the most exciting things i think this year has been infinidat has pretty rapidly evolved from a single product line uh company around the infinibox architecture which is what made us unique at the start and still makes us very unique as a company and we've really expanded out from there on that same common software-defined architecture to the ssa the solid state array which we're going to talk about in some in some depth today and then our backup appliance our data protection appliance as well all running the same software and what we see now in the field uh many customers are expanding quickly beyond you know the traditional infinibox business uh to the other parts of our portfolio and our sales teams in turn are expanding their selling motion from kind of an infinibox approach to a portfolio approach and it's it's really helping accelerate the growth of the company yeah that's great to hear you really got a deep bench and of course you you know a lot of people in the industry so you're tapping a lot of your your colleagues okay let's get into the market i want to bring in uh the analyst perspective eric can you give us some context when we talk about things like ultra low latency storage what's the market look like to you help us understand the profile of the customer the workloads the market segment if you would well you bet so i'll start off with a macro trend which is clearly there's more real-time data being captured every year in fact by 2024 24 of all of the data captured and stored will be real-time and that puts very different performance requirements on the storage infrastructure than what we've seen in years past a lot of this is driven by digital transformation we've seen new workload types come in big data analytics real-time big data analytics and obviously we've got legacy workloads that need to be handled as well one other trend i'll mention that is really pointing up this need for low latency consistent low latency is workload consolidation we're seeing a lot of enterprises look to move to fewer storage platforms consolidate more storage workloads onto fewer systems and to do that they really need low latency consistent low latency platforms to be able to achieve that and continue to meet their service level agreements great thank you for that all right ken let's bring you into the conversation steiny what are the business impacts of of latency i want you to help us understand when and why is high latency a problem what are the positive impacts of having a consistent low latency uh opportunity or option and what kind of workloads and customers need that right the world has really changed i mean when when dinosaurs like me started in this industry the only people that really knew about performance were the people in the data center and then as things moved into online computing over the years then people within your own organization would care about performance if things weren't going well and it was really the erp revolution the 1990s that sort of opened uh people's eyes to the need for performance particularly for storage performance where now it's not just your internal users but your suppliers are now seeing what your systems look like fast forward to today in a web-based internet world everyone can see with customer facing applications whether you're delivering what they want or not and to answer your question it really comes down to competitive differentiation for the users that can deliver a better user customer experience if you and i'm sure everybody can relate if you go online and try to place an order especially with the holiday season coming up if there's one particular site that is able to give you instantaneous response you're more likely to do business there than somebody where you're going to be waiting and it literally is that simple it used to be that we cared about bandwidth and we used to care about ios per second and the third attribute latency really has become the only one that really matters going forward we found that most customers tell us that these days almost anyone can meet their requirements for bandwidth and ios per second with very few outlying cases where that's not true but the ever unachievable zero latency instantaneous response that's always going to be able to give people competitive differentiation in everything that they do and whoever can provide that is going to be in a very good position to help them serve their customers better yeah eric that stat you threw out of 24 real time uh and that that sort of underscores the need but phil i wonder how how this fits if you could talk about how that fits into your tam expansion strategy i think that's the job of of every ceo is to think about the expanding the tam it seems like you know a lot of people might say it's not necessarily the largest market but it's strategic and maybe opens up some downstream opportunities is that how you're thinking about it or based on what ken just said you expect this to to grow over time oh we definitely expect it to grow uh dave you know the the history of infinidat has been around our infinibox product targeting the primary storage market at the at the higher end of that market you know it's we've enjoyed operating in a eight nine 10 billion dollar tan through the years and that it continues to grow and we continue to outpace market growth within that tam which is exciting what this uh what the ssa really does is it opens up a tier of workload performance that we see more and more emerging in the primary data center the infinibox classic infinibox architecture we have very very fast as we say it typically outperforms most of our all-flash uh array competitors but clearly there there are a tier of workloads that are growing in the data center that require very very tight tail latencies and and that segment is certainly growing it's where some of the most demanding workloads are on the infinibox ssa was really built to expand our participation in those segments of the market and as i mentioned up front at the same time also taking that that software architecture and moving it into the the data protection space as well which is a whole nother market space that we're opening up for the company so we really see our tam this year with more of the this portfolio approach expanding quite a bit eric how how do you see it well those real-time applications that you talked about that require that consistent ultra-low latency grow kind of in in parallel with that that time curve you know will they become a bigger part of that the the overall storage team and and the workload mix how does idc see it yeah so so they actually are going to be growing over time and a lot of that's driven by the fact of the expectations that um steinhart mentioned a little bit earlier just on the part of customers right what they expect when they interact with your i.t infrastructure so we see that absolutely growing going forward i will make a quick comment about you know when all flash arrays first hit back in 2012 um in the 10 years since they started shipping they now generate over 80 of the primary revenues out there in in the primary storage arena so clearly they've taken over an interesting aspect of what's going on here is that a lot of companies now write rfps specifically requiring an all-flash array and what's going to be interesting for infinidat is despite the fact that they could deliver better performance than many of those systems in the past they couldn't really go after the business where that rfp was written for an afa spec well now they'll certainly have the opportunity to do that in my estimation that's going to give them access to about an additional 5 billion in tam by 2025 so this is big for them as a company yeah that's a 50 increase in tamp so okay well eric you just set up my my follow-up question to you ken was going to be the tougher questions uh which we've you and i have had some healthy debates about this but i know you'll have answers so so for years you've argued that your cached architecture and magic sauce algorithms if i caught that could outperform all flash arrays we're using spinning disks so eric talked about the sort of check off item but are there other reasons for the change of heart why and why does the world need another afa doesn't this cut against your petabyte scale messaging i wonder if you could sort of add some color to that sure a great question and the good news is infinibox still does typically outperform all flash arrays but usually that's for average of latency performance and we're tending to get because we're a a caching architecture not a tiered architecture and we're caching to dram which is an order of magnitude faster than flash or even storage class memory technologies it's our software magic and that software defined storage approach that we've had that now effectively is extended to solid state arrays and some customers told us that you know we love your performance it's incredible but if you could let us effectively be confident that we're seeing you know some millisecond sub half millisecond performance consistently for every single io you're going to give us competitive differentiation and this is one of the reasons why we chose to call the product a solid state array as opposed to merely an all-flash array the more common ubiquitous term and it's because we're not dependent on a specific technology we're using dram we can use virtually any technology on the back end and in this case we've chosen to use flash but it's the software that is able to provide that caching to the front end dram that makes things different so that's one aspect is it's the software that really makes the difference it's been the software all along and still on this architecture still mentions going to across the multiple products it's still the software it's also that in that class of ultra high performance architecturally because it is based on the infinibox architecture we're able to deliver 100 availability which is another aspect that the market has evolved to come to expect and it's not rocket science or magic how we do it the godfather of computer science john von neumann all the way back in the 1950s theorized all the way back then that the right way to do ultra high availability and integrity in i.t systems of any type is in threes triple redundancy and in our case amazingly we're the only architecture that uses triple redundant active active components for every single mission critical component on the system and that gives a level of confidence to people from an availability perspective to go with that performance that is just unmatched in the market and then bring all of that together with a set it and forget it mentality for ease of use and simplicity of management and as phil mentioned being able to have a single architecture that can address now not only the ultra high performance but across the entire swath of as eric mentioned consolidation which is a key aspect as well driving this in addition to those real-time applications that he mentioned and even being able to take it down into our our infiniguard data protection device but all with the same common base of software common interface common user experience and unmatched availability and we've got something that we really think people are going to like and they've certainly been proving that of late well i was going to ask you you know what makes the the infinibox ssa different but i think you just laid it out but your contention is this is totally unique in the marketplace is that right ken yes indeed this is a unique architecture and i i literally as a computer scientist myself truly am genuinely surprised that no other vendor in the market has taken the wisdom of the godfather of computer science john von neumann and put it into practice except in the storage world for this particular architecture which transcends our entire realm all the way from the performance down to the data protection phil i mean you have a very wide observation space in this industry and a good strong historical perspective do you think the expectations for performance and this notion of ultra low latencies you know becoming more demanding is is there a parallel so first of all why is that we've talked about a little bit but is there a parallel to the way availability remember you could have escalated over the years um because it was such a problem and now it's really become table stakes and that last mile is so hard but what are your thoughts on that i i think i think absolutely dave you know the the hallmark of infinidat is this white glove concierge level customer experience that we deliver and it's it's affirmed uh year after year in unsolicited enterprise customer feedback uh above every other competitor in our space uh infinidat sets itself apart for this um and i think that's a big part of what continues to drive and fuel the growth and success of the company i just want to touch on a couple things that ken and and eric mentioned the ssa absolutely opens up our tan because we get to we get a lot more at bats now but i think a lot of the industry looks at infinidat as well those guys are are hard drive zealots right they've their architecture is all based on rotating disk that's what they believe in and it's a hybrid versus afa world out there and they were increasingly not on the right bus and that's just absolutely not true in that our our neural cache and what ken talked about what made us unique at the start i think actually only increasingly differentiates us going forward in terms of the the set it and forget it the intelligence of our architecture the ability of that dram based cache to adapt so dynamically without any knobs and and configuration changes to massive changes in workload scale and user scale and it does it with no drama in fact most of our customers the most common feedback we get is that your platform just kind of disappears into our data infrastructure we don't think about it we don't worry about it when we install an infiniti an infinidat rack our intentions are never to come back you know we're not there showing up with trays of disk under our arms trying to upgrade a mission-critical platform that's just not our model what the ssa does is it gives our customers choice it's not about infinidat saying that used to be the shiny object now this is our new shiny object please everybody now go buy that what where where we position our ssa is it's a it's a tco latency sla choice that they can make between exactly identical customer experiences so instead of an old hybrid and a new afa we've got that same software architecture set it and forget it the neural cache and customers can choose what back-end persistent store they want based on the tco and the sla that they want to deliver to a given set of applications so probably the most significant thing that i've seen happen in the last six months at infinidat is a lot of our largest customers the the fortune 15s the fortune 50s the fortune 100s who have been long-standing infinidat customers are now on almost every sort of re-tranche of or trancha purchase orders into us we're now seeing a mix we're seeing a mix of some ssa and some classic infinibox because they're mixing and matching in a given data center down a given row these applications need this sla these applications need this la and we're able to give them that choice and frankly we don't we don't intentionally try to steer them one direction or the other they they're smart they do the math they can pick and choose what experience they want knowing that irrespective of what front door they go through into the infinidat portfolio they're going to get that same experience so i'm hearing it's not just a an rfp check off item it's more than that the market is heading in that direction eric's data on on real time and we're certainly seeing that the data-driven applications the injection of ai and you know systems making decisions in in real time um and i i'm also hearing phil that you're building on your core principles i'm hearing the white glove service the media agnostic the set it and forget it sort of principles that you guys were founded on is you're carrying that through to this this opportunity we absolutely are in the reason and you ask a good question before and i want to more completely answer it i think availability and customer experience are incredibly important today more so than ever because data center economics and data center efficiency um are more important than ever before is as customers evaluate what workloads belong in the public cloud what workloads do i want on-prem irrespective of those decisions they're trying to optimize their their operational expenses their capex expenses and so one thing that infinidat has always excelled at is consolidation bringing multiple users multiple workloads into the same common platform in the data center it says floor space and watts and and uh you know storage administration resources but to do consolidation well you've got to be incredibly reliable and incredibly predictable without a lot of fuss and drama associated with it and so i think the thing that has made infinidat really strong through the years with being a very good consolidation platform is more important now than ever before in in the enterprise storage space because it is really about data center efficiency and uh administration efficiency associated with that yeah thank you for that phil now actually ken let me come back to you i want to ask you a question about consolidation and you and i and and doc our business friend rest his soul have had some some great conversations about this over time but but as you consolidate people are sometimes worried about the blast radius could you address that concern sure well um phil alluded to software and uh it is the cornerstone of everything we bring to the table and it's not just that deep learning that transcends all the intelligence phil talked about in terms of that full wide range of product it's also protection of data across multiple sites and in multiple ways so we were very fortunate in that when we started to create this product since it is a modern product we got to start with a clean sheet of paper and basically look at everything that had been done before and even with some of the very people who created some of the original software for replication in the market were able to then say if i could do it again how would i do it today and how would it be better so we started with local replication and snapshot technology which is the foundation for being able to do full active active replication across two sites today where you can have true zero rpo no data loss even in the face of any kind of failure of a site of a server of a network of a storage device of a connection as well as zero rto immediate consistent operation with no human intervention and we can extend from that out to remote sites literally anywhere in the world in multiples where you can have additional copies of information and at any of them you can be using not only for protection against natural disasters and floods and things like that but from a cyber security perspective immutable snapshots being able to provide data that you know the bad actors can't compromise in multiple locations so we can protect today against virtually any kind of failure scenario across the swath of infinibox or infinibox ssa you can even connect infinite boxes and infinibox ssas because they are the same architecture exactly as phil said what we're seeing is people deploying mostly infinibox because it addresses the wide swath from a consolidation perspective and usually just infinibox ssa for those ultra high performance environments but the beauty of it is it looks feels runs and operates as that one single simple environment that's set it and forget it and just let it run okay so you can consolidate with with confidence uh let's end with the the independent analyst perspective eric you know how do you see this offering what do you think it means for the market is this a new category is it an extension to an existing space how do you look at that uh so i don't see it as a new category i mean it clearly falls into the current definition of afas i think it's more important from the point of view of the customer base that likes this architecture likes the availability the functionality the flexibility that it brings to the table and they can leverage it with tier zero workloads which was something that in the past they didn't have that latency consistency to do that you know i'll just make one one final comment on the software side as well so the reason software is eating the world mark andreessen is basically because of the flexibility the ease of use and the economics and if you take a look at how this particular vendor infinidat designed their product with a software-based definition they were able to swap out underneath and create a different set of characteristics with this new platform because of the flexibility in the software design and that's critical one if you think about how software is dominating so today for 2021 68 of the revenue in the external storage market that's the size of the software defined storage market that's going to be going to almost 80 by 2024 so clearly things are moving in the direction of systems that are defined in a software-defined manner yeah and data is eating software which is why you're going to need ultra low latency um okay we got to wrap it eric you've just published a piece uh this summer called enterprise storage vendor infinidat expands total available market opportunities with all flash system introduction i'm sure they can get that on your website here's a little graphic that shows you how to get that but so guys thanks so much for coming on the cube congratulations on the progress and uh we'll be watching thanks steve thanks very much dave thank you as always a pleasure all right thank you for watching this cube conversation everybody this is dave vellante and we'll see you next time [Music] you

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Monica Kumar & Tarkan Maner, Nutanix | CUBEconversation


 

(upbeat music) >> The cloud is evolving. You know, it's no longer a set of remote services somewhere off in the cloud, in the distance. It's expanding. It's moving to on-prem. On-prem workloads are connecting to the cloud. They're spanning clouds in a way that hides the plumbing and simplifies deployment, management, security, and governance. So hybrid multicloud is the next big thing in infrastructure, and at the recent Nutanix .NEXT conference, we got a major dose of that theme, and with me to talk about what we heard at that event, what we learned, why it matters, and what it means to customers are Monica Kumar, who's the senior vice president of marketing and cloud go-to-market at Nutanix, and Tarkan Maner, who's the chief commercial officer at Nutanix. Guys, great to see you again. Welcome to the theCUBE. >> Great to be back here. >> Great to see you, Dave. >> Okay, so you just completed another .NEXT. As an analyst, I like to evaluate the messaging at an event like this, drill into the technical details to try to understand if you're actually investing in the things that you're promoting in your keynotes, and then talk to customers to see how real it is. So with that as a warning, you guys are all in on hybrid multicloud, and I have my takeaways that I'd be happy to share, but, Tarkan, what were your impressions, coming out of the event? >> Look, you had a great entry. Our goal, as Monica is going to outline, too, cloud is not a destination. It's an operating model. Our customers are basically using cloud as a business model, as an operating model. It's not just a bunch of techno mumbo-jumbo, as, kind of, you outlined. We want to make sure we make cloud invisible to the customer so they can focus on what they need to focus on as a business. So as part of that, we want to make sure the workloads, the apps, they can run anywhere the way the customer wants. So in that context, you know, our entire story was bringing customer workloads, use-cases, partner ecosystem with ISVs and cloud providers and service providers and ISPs we're working with like Citrix on end user computing, like Red Hat on cloud native, and also bringing the right products, both in terms of infrastructure capability and management capability for both operators and application developers. So bringing all these pieces together and make it simple for the customer to use the cloud as an operating model. That was the biggest goal here. >> Great, thank you. Monica, anything you'd add in terms of your takeaways? >> Well, I think Tarkan said it right. We are here to make cloud complexity invisible. This was our big event to get thousands of our customers, partners, our supporters together and unveil our product portfolio, which is much more simplified, now. It's a cloud platform. And really have a chance to show them how we are building an ecosystem around it, and really bringing to life the whole notion of hybrid multicloud computing. >> So, Monica, could you just, for our audience, just summarize the big news that came out of .NEXT? >> Yeah, we actually made four different announcements, and most of them were focused around, obviously, our product portfolio. So the first one was around enhancements to our cloud platform to help customers build modern, software-defined data centers to speed their hybrid multicloud deployments while supporting their business-critical applications, and that was really about the next version of our flagship, AOS six, availability. We announced the general availability of that, and key features really included things like built-in virtual networking, disaster recovery enhancements, security enhancements that otherwise would need a lot of specialized hardware, software, and skills are now built into our platform. And, most importantly, all of this functionality being managed through a single interface, right? Which significantly decreases the operational overhead. So that was one announcement. The second announcement was focused around data services and really making it easy for customers to simplify data management, also optimize big data and database workloads. We announced capability that now improves performances of database workloads by 2x, big data workloads by 3x, so lots of great stuff there. We also announced a new service called Nutanix Data Lens, which is a new unstructured data governance service. So, again, I don't want to go into a lot of details here. Maybe we can do it later. That was our second big announcement. The third announcement, which is really around partnerships, and we'll talk more about that, is with Microsoft. We announced the preview of Nutanix Clusters and Azure, and that's really taking our entire flagship Nutanix platform and running it on Azure. And so, now, we are in preview on that one, and we're super excited about that. And then, last but not least, and I know Tarkan is going to go into a lot more detail, is we announced a strategic partnership with Citrix around the whole future of hybrid work. So lots of big news coming out of it. I just gave you a quick summary. There's a lot more around this, as well. >> Okay. Now, I'd like to give you my honest take, if you guys don't mind, and, Tarkan, I'll steal one of your lines. Don't hate me, okay? So the first thing I'm going to say is I think, Nutanix, you have the absolute right vision. There's no question in my mind. But what you're doing is not trivial, and I think it's going to play out. It's going to take a number of years. To actually build an abstraction layer, which is where you're going, as I take it, as a platform that can exploit all the respective cloud native primitives and run virtually any workload in any cloud. And then what you're doing, as I see it, is abstracting that underlying technology complexity and bringing that same experience on-prem, across clouds, and as I say, that's hard. I will say this: the deep dives that I got at the analyst event, it convinced me that you're committed to this vision. You're spending real dollars on focused research and development on this effort, and, very importantly, you're sticking to your true heritage of making this simple. Now, you're not alone. All the non-hyperscalers are going after the multicloud opportunity, which, again, is really challenging, but my assessment is you're ahead of the game. You're certainly focused on your markets, but, from what I've seen, I believe it's one of the best examples of a true hybrid multicloud-- you're on that journey-- that I've seen to date. So I would give you high marks there. And I like the ecosystem-building piece of it. So, Tarkan, you could course-correct anything that I've said, and I'd love for you to pick up on your comments. It takes a village, you know, you're sort of invoking Hillary Clinton, to bring the right solution to customers. So maybe you could talk about some of that, as well. >> Look, actually, you hit all the right points, and I don't hate you for that. I love you for that, as you know. Look, at the end of the day, we started this journey about 10 years ago. The last two years with Monica, with the great executive team, and overall team as a whole, big push to what you just suggested. We're not necessarily, you know, passionate about cloud. Again, it's a business model. We're passionate about customer outcomes, and some of those outcomes sometimes are going to also be on-prem. That's why we focus on this terminology, hybrid multicloud. It is not multicloud, it's not just private cloud or on-prem and non-cloud. We want to make sure customers have the right outcomes. So based on that, whether those are cloud partners or platform partners like HPE, Dell, Supermicro. We just announced a partnership with Supermicro, now, we're selling our software. HPE, we run on GreenLake. Lenovo, we run on TruScale. Big support for Lenovo. Dell's still a great partner to us. On cloud partnerships, as Monica mentioned, obviously Azure. We had a big session with AWS. Lots of new work going on with Red Hat as an ISV partner. Tying that also to IBM Cloud, as we move forward, as Red Hat and IBM Cloud go hand in hand, and also tons of workarounds, as Monica mentioned. So it takes a village. We want to make sure customer outcomes deliver value. So anywhere, for any app, on any infrastructure, any cloud, regardless standards or protocols, we want to make sure we have an open system coverage, not only for operators, but also for application developers, develop those applications securely and for operators, run and manage those applications securely anywhere. So from that perspective, tons of interest, obviously, on the Citrix or the UC side, as Monica mentioned earlier, we also just announced the Red Hat partnership for cloud services. Right before that, next we highlighted that, and we are super excited about those two partnerships. >> Yeah, so, when I talked to some of your product folks and got into the technology a little bit, it's clear to me you're not wrapping your stack in containers and shoving it into the cloud and hosting it like some do. You're actually going much deeper. And, again, that's why it's hard. You could take advantage of those things, but-- So, Monica, you were on the stage at .NEXT with Eric Lockhart of Microsoft. Maybe you can share some details around the focus on Azure and what it means for customers. >> Absolutely. First of all, I'm so grateful that Eric actually flew out to the Bay Area to be live on stage with us. So very super grateful for Eric and Azure partnership there. As I said earlier, we announced the preview of Nutanix Clusters and Azure. It's a big deal. We've been working on it for a while. What this means is that a select few organizations will have an opportunity to get early access and also help shape the roadmap of our offering. And, obviously, we're looking forward to then announcing general availability soon after that. So that's number one. We're already seeing tremendous interest. We have a large number of customers who want to get their hands on early access. We are already working with them to get them set up. The second piece that Eric and I talked about really was, you know, the reason why the work that we're doing together is so important is because we do know that hybrid cloud is the preferred IT model. You know, we've heard that in spades from all different industries' research, by talking to customers, by talking to people like yourselves. However, when customers actually start deploying it, there's lots of issues that come up. There's limited skill sets, resources, and, most importantly, there's a disparity between the on-premises networking security management and the cloud networking security management. And that's what we are focused on, together as partners, is removing that barrier, the friction between on-prem and Azure cloud. So our customers can easily migrate their workloads in Azure cloud, do cloud disaster recovery, create a burst into cloud for elasticity if they need to, or even use Azure as an on-ramp to modernize applications by using the Azure cloud services. So that's one big piece. The second piece is our partnership around Kubernetes and cloud native, and that's something we've already provided to the market. It's GA with Azure and Nutanix cloud platform working together to build Kubernetes-based applications, container-based applications, and run them and manage them. So there's a lot more information on nutanix.com/azure. And I would say, for those of our listeners who want to give it a try and who want their hands on it, we also have a test drive available. You can actually experience the product by going to nutanix.com/azure and taking the test drive. >> Excellent. Now, Tarkan, we saw recently that you announced services. You've got HPE GreenLake, Lenovo, their Azure service, which is called TruScale. We saw you with Keith White at HPE Discover. I was just with Keith White this week, by the way, face to face. Awesome guy. So that's exciting. You got some investments going on there. What can you tell us about those partnerships? >> So, look, as we talked through this a little bit, the HPE relationship is a very critical relationship. One of our fastest growing partnerships. You know, our customers now can run a Nutanix software on any HPE platform. We call it DX, is the platform. But beyond that, now, if the customers want to use HPE service as-a-service, now, Nutanix software, the entire stack, it's not only hybrid multicloud platform, the database capability, EUC capability, storage capability, can run on HPE's service, GreenLake service. Same thing, by the way, same way available on Lenovo. Again, we're doing similar work with Dell and Supermicro, again, giving our customers choice. If they want to go to a public club partner like Azure, AWS, they have that choice. And also, as you know, I know Monica, you're going to talk about this, with our GSI partnerships and new service provider program, we're giving options to customers because, in some other regions, HPE might not be their choice or Azure not be choice, and a local telco might the choice in some country like Japan or India. So we give options and capability to the customers to run Nutanix software anywhere they like. >> I think that's a really important point you're making because, as I see all these infrastructure providers, who are traditionally on-prem players, introduce as-a-service, one of the things I'm looking for is, sure, they've got to have their own services, their own products available, but what other ecosystem partners are they offering? Are they truly giving the customers choice? Because that's, really, that's the hallmark of a cloud provider. You know, if we think about Amazon, you don't always have to use the Amazon product. You can use actually a competitive product, and that's the way it is. They let the customers choose. Of course, they want to sell their own, but, if you innovate fast enough, which, of course, Nutanix is all about innovation, a lot of customers are going to choose you. So that's key to these as-a-service models. So, Monica, Tarkan mentioned the GSIs. What can you tell us about the big partners there? >> Yeah, definitely. Actually, before I talk about GSIs, I do want to make sure our listeners understand we already support AWS in a public cloud, right? So Nutanix totally is available in general, generally available on AWS to use and build a hybrid cloud offering. And the reason I say that is because our philosophy from day one, even on the infrastructure side, has been freedom of choice for our customers and supporting as large a number of platforms and substrates as we can. And that's the notion that we are continuing, here, forward with. So to talk about GSIs a bit more, obviously, when you say one platform, any app, any cloud, any cloud includes on-prem, it includes hyperscalers, it includes the regional service providers, as well. So as an example, TCS is a really great partner of ours. We have a long history of working together with TCS, in global 2000 accounts across many different industries, retail, financial services, energy, and we are really focused, for example, with them, on expanding our joint business around mission critical applications deployment in our customer accounts, and specifically our databases with Nutanix Era, for example. Another great partner for us is HCL. In fact, HCL's solution SKALE DB, we showcased at .NEXT just yesterday. And SKALE DB is a fully managed database service that HCL offers which includes a Nutanix platform, including Nutanix Era, which is our database service, along with HCL services, as well as the hardware/software that customers need to actually run their business applications on it. And then, moving on to service providers, you know, we have great partnerships like with Cyxtera, who, in fact, was the service provider partner of the year. That's the award they just got. And many other service providers, including working with, you know, all of the edge cloud, Equinix. So, I can go on. We have a long list of partnerships, but what I want to say is that these are very important partnerships to us. All the way from, as Tarkan said, OEMs, hyperscalers, ISVs, you know, like Red Hat, Citrix, and, of course, our service provider, GSI partnerships. And then, last but not least, I think, Tarkan, I'd love for you to maybe comment on our channel partnerships as well, right? That's a very important part of our ecosystem. >> No, absolutely. You're absolutely right. Monica. As you suggested, our GSI program is one of the best programs in the industry in number of GSIs we support, new SP program, enterprise solution providers, service provider program, covering telcos and regional service providers, like you suggested, OVH in France, NTT in Japan, Yotta group in India, Cyxtera in the US. We have over 50 new service providers signed up in the last few months since the announcement, but tying all these things, obviously, to our overall channel ecosystem with our distributors and resellers, which is moving very nicely. We have Christian Alvarez, who is running our channel programs globally. And one last piece, Dave, I think this was important point that Monica brought up. Again, give choice to our customers. It's not about cloud by itself. It's outcomes, but cloud is an enabler to get there, especially in a hybrid multicloud fashion. And last point I would add to this is help customers regardless of the stage they're in in their cloud migration. From rehosting to replatforming, repurchasing or refactoring, rearchitecting applications or retaining applications or retiring applications, they will have different needs. And what we're trying to do, with Monica's help, with the entire team: choice. Choice in stage, choice in maturity to migrate to cloud, and choice on platform. >> So I want to close. First of all, I want to give some of my impressions. So we've been watching Nutanix since the early days. I remember vividly standing around the conference call with my colleague at the time, Stu Miniman. The state-of-the-art was converged infrastructure, at the time, bolting together storage, networking, and compute, very hardware centric. And the founding team at Nutanix told us, "We're going to have a software-led version of that." And you popularized, you kind of created the hyperconverged infrastructure market. You created what we called at the time true private cloud, scaled up as a company, and now you're really going after that multicloud, hybrid cloud opportunity. Jerry Chen and Greylock, they just wrote a piece called Castles on the Cloud, and the whole concept was, and I say this all the time, the hyperscalers, last year, just spent a hundred billion dollars on CapEx. That's a gift to companies that can add value on top of that. And that's exactly the strategy that you're taking, so I like it. You've got to move fast, and you are. So, guys, thanks for coming on, but I want you to both-- maybe, Tarkan, you can start, and Monica, you can bring us home. Give us your wrap up, your summary, and any final thoughts. >> All right, look, I'm going to go back to where I started this. Again, I know I go back. This is like a broken record, but it's so important we hear from the customers. Again, cloud is not a destination. It's a business model. We are here to support those outcomes, regardless of platform, regardless of hypervisor, cloud type or app, making sure from legacy apps to cloud native apps, we are there for the customers regardless of their stage in their migration. >> Dave: Right, thank you. Monica? >> Yeah. And I, again, you know, just the whole conversation we've been having is around this but I'll remind everybody that why we started out. Our journey was to make infrastructure invisible. We are now very well poised to helping our customers, making the cloud complexity invisible. So our customers can focus on business outcomes and innovation. And, as you can see, coming out of .NEXT, we've been firing on all cylinders to deliver this differentiated, unified hybrid multicloud platform so our customers can really run any app, anywhere, on any cloud. And with the simplicity that we are known for because, you know, our customers love us. NPS 90 plus seven years in a row. But, again, the guiding principle is simplicity, portability, choice. And, really, our compass is our customers. So that's what we are focused on. >> Well, I love not having to get on planes every Sunday and coming back every Friday, but I do miss going to events like .NEXT, where I meet a lot of those customers. And I, again, we've been following you guys since the early days. I can attest to the customer delight. I've spent a lot of time with them, driven in taxis, hung out at parties, on buses. And so, guys, listen, good luck in the next chapter of Nutanix. We'll be there reporting and really appreciate your time. >> Thank you so much. >> Thank you so much, Dave. >> All right, and thank you for watching, everybody. This is Dave Vellante for theCUBE, and, as always, we'll see you next time. (light music)

Published Date : Sep 23 2021

SUMMARY :

and at the recent and then talk to customers and also bringing the right products, terms of your takeaways? and really bringing to just summarize the big news So the first one was around enhancements So the first thing I'm going to say is big push to what you just suggested. and got into the technology a little bit, and also help shape the face to face. and a local telco might the choice and that's the way it is. And that's the notion but cloud is an enabler to get there, and the whole concept was, We are here to support those outcomes, Dave: Right, thank you. just the whole conversation in the next chapter of Nutanix. and, as always, we'll see you next time.

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Anahad Dhillon, Dell EMC | CUBEConversation


 

(upbeat music) >> Welcome everybody to this CUBE Conversation. My name is Dave Vellante, and we're here to talk about Object storage and the momentum in the space. And what Dell Technologies is doing to compete in this market, I'm joined today by Anahad Dhillon, who's the Product Manager for Dell, EMC's ECS, and new ObjectScale products. Anahad, welcome to theCUBE, good to see you. >> Thank you so much Dave. We appreciate you having me and Dell (indistinct), thanks. >> Its always a pleasure to have you guys on, we dig into the products, talk about the trends, talk about what customers are doing. Anahad before the Cloud, Object was this kind of niche we seen. And you had simple get, put, it was a low cost bit bucket essentially, but that's changing. Tell us some of the trends in the Object storage market that you're observing, and how Dell Technology sees this space evolving in the future please. >> Absolutely, and you hit it right on, right? Historically, Object storage was considered this cheap and deep place, right? Customers would use this for their backup data, archive data, so cheap and deep, no longer the case, right? As you pointed out, the ObjectSpace is now maturing. It's a mature market and we're seeing out there customers using Object or their primary data so, for their business critical data. So we're seeing big data analytics that we use cases. So it's no longer just cheap and deep, now your primary workloads and business critical workloads being put on with an object storage now. >> Yeah, I mean. >> And. >> Go ahead please. >> Yeah, I was going to say, there's not only the extend of the workload being put in, we'll also see changes in how Object storage is being deployed. So now we're seeing a tighter integration with new depth models where Object storage or any storage in general is being deployed. Our applications are being (indistinct), right? So customers now want Object storage or storage in general being orchestrated like they would orchestrate their customer applications. Those are the few key trends that we're seeing out there today. >> So I want to dig into this a little bit with you 'cause you're right. It used to be, it was cheap and deep, it was slow and it required sometimes application changes to accommodate. So you mentioned a few of the trends, Devs, everybody's trying to inject AI into their applications, the world has gone software defined. What are you doing to respond to all these changes in these trends? >> Absolutely, yeah. So we've been making tweaks to our object offering, the ECS, Elastic Cloud Storage for a while. We started off tweaking the software itself, optimizing it for performance use cases. In 2020, early 2020, we actually introduced SSDs to our notes. So customers were able to go in, leverage these SSD's for metadata caching improving their performance quite a bit. We use these SSDs for metadata caching. So the impact on the performance improvement was focused on smaller reads and writes. What we did now is a game changer. We actually went ahead later in 2020, introduced an all flash appliance. So now, EXF900 and ECS all flash appliance, it's all NVME based. So it's NVME SSDs and we leveraged NVME over fabric xx for the back end. So we did it the right way did. We didn't just go in and qualified an SSD based server and ran object storage on it, we invested time and effort into supporting NVME fabric. So we could give you that performance at scale, right? Object is known for scale. We're not talking 10, 12 nodes here, we're talking hundreds of nodes. And to provide you that kind of performance, we went to ahead. Now you've got an NVME based offering EXF900 that you can deploy with confidence, run your primary workloads that require high throughput and low latency. We also come November 5th, are releasing our next gen SDS offering, right? This takes the Troven ECS code that our customers are familiar with that provides the resiliency and the security that you guys expect from Dell. We're re platforming it to run on Kubernetes and be orchestrated by Kubernetes. This is what we announced that VMware 2021. If you guys haven't seen that, is going to go on-demand for VMware 2021, search for ObjectScale and you get a quick demo on that. With ObjectScale now, customers can quickly deploy enterprise grade Object storage on their existing environment, their existing it infrastructure, things like VMware, infrastructure like VMware and infrastructure like OpenShift. I'll give you an example. So if you were in a VMware shop that you've got vSphere clusters in your data center, with ObjectScale, you'll be able to quickly deploy your Object enterprise grid Object offering from within vSphere. Or if you are an OpenShift customer, right? If you've got OpenShift deployed in your data center and your Red Hat shop, you could easily go in, use that same infrastructure that your applications are running on, deploy ObjectScale on top of your OpenShift infrastructure and make available Object storage to your customers. So you've got the enterprise grade ECS appliance or your high throughput, low latency use cases at scale, and you've got this software defined ObjectScale, which can deploy on your existing infrastructure, whether that's VMware or Red Hat OpenShift. >> Okay, I got a lot of follow up questions, but let me just go back to one of the earlier things you said. So Object was kind of cheap, deep and slow, but scaled. And so, your step one was metadata caching. Now of course, my understanding is with Object, the metadata and the data within the object. So, maybe you separated that and made it high performance, but now you've taken the next step to bring in NVME infrastructure to really blow away all the old sort of scuzzy latency and all that stuff. Maybe you can just educate us a little bit on that if you don't mind. >> Yeah, absolutely. Yeah, that was exactly the stepped approach that we took. Even though metadata is tightly integrated in Object world, in order to read the actual data, you still got to get to the metadata first, right? So we would cache the metadata into SSDs reducing that lookup that happens for that metadata, right? And that's why it gave you the performance benefit. But because it was just tied to metadata look-ups, the performance for larger objects stayed the same because the actual data read was still happening from the hard drives, right? With the new EXF900 which is all NVME based, we've optimized the our ECS Object code leveraging VME, data sitting on NVME drives, the internet connectivity, the communication is NVME over fabric, so it's through and through NVME. Now we're talking milliseconds and latency and thousands and thousands of transactions per second. >> Got it, okay. So this is really an inflection point for Objects. So these are pretty interesting times at Dell, you got the cloud expanding on prem, your company is building cloud-like capabilities to connect on-prem to the cloud across cloud, you're going out to the edge. As it pertains to Object storage though, it sounds like you're taking a sort of a two product approach to your strategy. Why is that, and can you talk about the go-to market strategy in that regard? >> Absolutely, and yeah, good observation there. So yes and no, so we continued to invest in ECS. ECS continues to stay a product of choice when customer wants that traditional appliance deployment model. But this is a single hand to shape model where you're everything from your hardware to your software the object solution software is all provided by Dell. ECS continues to be the product where customers are looking for that high performance, fine tune appliance use case. ObjectScale comes into play when the needs are software defined. When you need to deploy the storage solution on top of the same infrastructure that your applications are run, right? So yes, in the short-term, in the interim, it's a two product approach of both products taking a very distinct use case. However, in the long-term, we're merging the two quote streams. So in the long-term, if you're an ECS customer and you're running ECS, you will have an in-place data upgrade to ObjectScale. So we're not talking about no forklift upgrades, we're not talking about you're adding additional servers and do a data migration, it's a code upgrade. And then I'll give you an example, today on ECS, we're at code variation 3.6, right? So if you're a customer running ECS, ECS 3.X in the future, and so we've got a roadmap where 3.7 is coming out later on this year. So from 3.X, customers will upgrade the code data in place. Let's call it 4.0, right? And that brings them up to ObjectScale. So there's no nodes left behind, there's an in-place code upgrade from ECS to the ObjectScale merging the two code streams and the long-term, single code, short-term, two products for both solving the very distinct users. >> Okay, let me follow up, put on my customer hat. And I'm hearing that you can tell us with confidence that irrespective of whether a customer invested ECS or ObjectScale, you're not going to put me into a dead-end. Every customer is going to have a path forward as long as their ECS code is up-to-date, is that correct? >> Absolutely, exactly, and very well put, yes. No nodes left behind, investment protection, whether you've got ECS today, or you want to invest into ECS or ObjectScale in the future, correct. >> Talk a little bit more about ObjectScale. I'm interested in kind of what's new there, what's special about this product, is there unique functionality that you're adding to the product? What differentiates it from other Object stores? >> Absolutely, my pleasure. Yeah, so I'll start by reiterating that ObjectScale it's built on that Troven ECS code, right? It's the enterprise grid, reliability and security that our customers expect from Dell EMC, right? Now we're re platforming ECS who allow ObjectScale to be Kubernetes native, right? So we're leveraging that microservices-based architecture, leveraging that native orchestration capabilities of Kubernetes, things like resource isolation or seamless (indistinct), I'm sorry, load balancing and things like that, right? So the in-built native capabilities of Kubernetes. ObjectScale is also build with scale in mind, right? So it delivers limitless scale. So you could start with terabytes and then go up to petabytes and beyond. So unlike other file system-based Object offerings, ObjectScale software would have a limit on your number of object stores, number of buckets, number of objects you store, it's limitless. As long as you can provide the hardware resources under the covers, the software itself is limitless. It allows our customers to start small, so you could start as small as three node and grow their environment as your business grows, right? Hundreds of notes. With ObjectScale, you can deploy workloads at public clouds like scale, but with the reliability and control of a private cloud data, right? So, it's then your own data center. And ObjectScale is S3 compliant, right? So while delivering the enterprise features like global replication, native multi-tenancy, fueling everything from Dev Test Sandbox to globally distributed data, right? So you've got in-built ObjectScale replication that allows you to place your data anywhere you got ObjectScale (indistinct). From edge to core to data center. >> Okay, so it fits into the Kubernetes world. I call it Kubernetes compatible. The key there is automation, because that's the whole point of containers is, right? It allows you to deploy as many apps as you need to, wherever you need to in as many instances and then do rolling updates, have the same security, same API, all that level of consistency. So that's really important. That's how modern apps are being developed. We're in a new age year. It's no longer about the machines, it's about infrastructure as code. So once ObjectScale is generally available which I think is soon, I think it's this year, What should customers do, what's their next step? >> Absolutely, yeah, it's coming out November 2nd. Reach out to your Dell representatives, right? Get an in-depth demo on ObjectScale. Better yet, you get a POC, right? Get a proof of concept, have it set up in your data center and play with it. You can also download the free full featured community edition. We're going to have a community edition that's free up to 30 terabytes of usage, it's full featured. Download that, play with it. If you like it, you can upgrade that free community edition, will license paid version. >> And you said that's full featured. You're not neutering the community edition? >> Exactly, absolutely, it's full featured. >> Nice, that's a great strategy. >> We're confident, we're confident in what we're delivering, and we want you guys to play with it without having your money tied up. >> Nice, I mean, that's the model today. Gone are the days where you got to get new customers in a headlock to get them to, they want to try before they buy. So that's a great little feature. Anahad, thanks so much for joining us on theCUBE. Sounds like it's been a very busy year and it's going to continue to be so. Look forward to see what's coming out with ECS and ObjectScale and seeing those two worlds come together, thank you. >> Yeah, absolutely, it was a pleasure. Thank you so much. >> All right, and thank you for watching this CUBE Conversation. This is Dave Vellante, we'll see you next time. (upbeat music)

Published Date : Sep 14 2021

SUMMARY :

and the momentum in the space. We appreciate you having me to have you guys on, Absolutely, and you of the workload being put in, So you mentioned a few So we could give you that to one of the earlier things you said. And that's why it gave you Why is that, and can you talk about So in the long-term, if And I'm hearing that you or ObjectScale in the future, correct. that you're adding to the product? that allows you to place your data because that's the whole Reach out to your Dell And you said that's full featured. it's full featured. and we want you guys to play with it Gone are the days where you Thank you so much. we'll see you next time.

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Derek Manky, Fortinet | CUBEConversation


 

>> Welcome to this Cube Conversation, I'm Lisa Martin. I'm joined by Derek Manky next, the Chief Security Insights and Global Threat Alliances at Fortiguard Labs. Derek, welcome back to the program. >> Hey, it's great to be here again. A lot of stuff's happened since we last talked. >> So Derek, one of the things that was really surprising from this year's Global Threat Landscape Report is a 10, more than 10x increase in ransomware. What's going on? What have you guys seen? >> Yeah so this is massive. We're talking over a thousand percent over a 10x increase. This has been building Lisa, So this has been building since December of 2020. Up until then we saw relatively low high watermark with ransomware. It had taken a hiatus really because cyber criminals were going after COVID-19 lawyers and doing some other things at the time. But we did see a seven fold increase in December, 2020. That has absolutely continued this year into a momentum up until today, it continues to build, never subsided. Now it's built to this monster, you know, almost 11 times increase from, from what we saw back last December. And the reason, what's fueling this is a new verticals that cyber criminals are targeting. We've seen the usual suspects like telecommunication, government in position one and two. But new verticals that have risen up into this third and fourth position following are MSSP, and this is on the heels of the Kaseya attack of course, that happened in 2021, as well as operational technology. There's actually four segments, there's transportation, automotive, manufacturing, and then of course, energy and utility, all subsequent to each other. So there's a huge focus now on, OT and MSSP for cyber criminals. >> One of the things that we saw last year this time, was that attackers had shifted their focus away from enterprise infrastructure devices, to home networks and consumer grade products. And now it looks like they're focusing on both. Are you seeing that? >> Yes, absolutely. In two ways, so first of all, again, this is a kill chain that we talk about. They have to get a foothold into the infrastructure, and then they can load things like ransomware on there. They can little things like information stealers as an example. The way they do that is through botnets. And what we reported in this in the first half of 2021 is that Mirai, which is about a two to three-year old botnet now is number one by far, it was the most prevalent botnet we've seen. Of course, the thing about Mirai is that it's an IOT based botnet. So it sits on devices, sitting inside consumer networks as an example, or home networks, right. And that can be a big problem. So that's the targets that cyber criminals are using. The other thing that we saw that was interesting was that one in four organizations detected malvertising. And so what that means Lisa, is that cyber criminals are shifting their tactics from going just from cloud-based or centralized email phishing campaigns to web born threats, right. So they're infecting sites, waterhole attacks, where, you know, people will go to read their daily updates as an example of things that they do as part of their habits. They're getting sent links to these sites that when they go to it, it's actually installing those botnets onto those systems, so they can get a foothold. We've also seen scare tactics, right. So they're doing new social engineering lures, pretending to be human resource departments. IT staff and personnel, as an example, with popups through the web browser that look like these people to fill out different forms and ultimately get infected on home devices. >> Well, the home device use is proliferate. It continues because we are still in this work from home, work from anywhere environment. Is that, you think a big factor in this increase from 7x to nearly 11x? >> It is a factor, absolutely. Yeah, like I said, it's also, it's a hybrid of sorts. So a lot of that activity is going to the MSSP angle, like I said to the OT. And to those new verticals, which by the way, are actually even larger than traditional targets in the past, like finance and banking, is actually lower than that as an example. So yeah, we are seeing a shift to that. And like I said, that's, further backed up from what we're seeing on with the, the botnet activity specifically with Mirai too. >> Are you seeing anything in terms of the ferocity, we know that the volume is increasing, are they becoming more ferocious, these attacks? >> Yeah, there is a lot of aggression out there, certainly from, from cyber criminals. And I would say that the velocity is increasing, but the amount, if you look at the cyber criminal ecosystem, the stakeholders, right, that is increasing, it's not just one or two campaigns that we're seeing. Again, we're seeing, this has been a record cases year, almost every week we've seen one or two significant, cyber security events that are happening. That is a dramatic shift compared to last year or even, two years ago too. And this is because, because the cyber criminals are getting deeper pockets now. They're becoming more well-funded and they have business partners, affiliates that they're hiring, each one of those has their own methodology, and they're getting paid big. We're talking up to 70 to 80% commission, just if they actually successfully, infect someone that pays for the ransom as an example. And so that's really, what's driving this too. It's a combination of this kind of perfect storm as we call it, right. You have this growing attack surface, work from home environments and footholds into those networks, but you have a whole bunch of other people now on the bad side that are orchestrating this and executing the attacks too. >> So what can organizations do to start- to slow down or limit the impacts of this growing ransomware as a service? >> Yeah, great question. Everybody has their role in this, I say, right? So if we look at, from a strategic point of view, we have to disrupt cyber crime, how do we do that? It starts with the kill chain. It starts with trying to build resilient networks. So things like ZTA and a zero trust network access, SD-WAN as an example for protecting that WAN infrastructure. 'Cause that's where the threats are floating to, right. That's how they get the initial footholds. So anything we can do on the preventative side, making networks more resilient, also education and training is really key. Things like multi-factor authentication are all key to this because if you build that preventatively and it's a relatively small investment upfront Lisa, compared to the collateral damage that can happen with these ransomware paths, the risk is very high. That goes a long way, it also forces the attackers to- it slows down their velocity, it forces them to go back to the drawing board and come up with a new strategy. So that is a very important piece, but there's also things that we're doing in the industry. There's some good news here, too, that we can talk about because there's things that we can actually do apart from that to really fight cyber crime, to try to take the cyber criminals offline too. >> All right, hit me with the good news Derek. >> Yeah, so a couple of things, right. If we look at the botnet activity, there's a couple of interesting things in there. Yes, we are seeing Mirai rise to the top right now, but we've seen big problems of the past that have gone away or come back, not as prolific as before. So two specific examples, EMOTET, that was one of the most prolific botnets that was out there for the past two to three years, there is a take-down that happened in January of this year. It's still on our radar but immediately after that takedown, it literally dropped to half of the activity it had before. And it's been consistently staying at that low watermark now at that half percentage since then, six months later. So that's very good news showing that the actual coordinated efforts that were getting involved with law enforcement, with our partners and so forth, to take down these are actually hitting their supply chain where it hurts, right. So that's good news part one. Trickbot was another example, this is also a notorious botnet, takedown attempt in Q4 of 2020. It went offline for about six months in our landscape report, we actually show that it came back online in about June this year. But again, it came back weaker and now the form is not nearly as prolific as before. So we are hitting them where it hurts, that's that's the really good news. And we're able to do that through new, what I call high resolution intelligence that we're looking at too. >> Talk to me about that high resolution intelligence, what do you mean by that? >> Yeah, so this is cutting edge stuff really, gets me excited, keeps me up at night in a good way. 'Cause we we're looking at this under the microscope, right. It's not just talking about the what, we know there's problems out there, we know there's ransomware, we know there's a botnets, all these things, and that's good to know, and we have to know that, but we're able to actually zoom in on this now and look at- So we, for the first time in the threat landscape report, we've published TTPs, the techniques, tactics, procedures. So it's not just talking about the what, it's talking about the how, how are they doing this? What's their preferred method of getting into systems? How are they trying to move from system to system? And exactly how are they doing that? What's the technique? And so we've highlighted that, it's using the MITRE attack framework TTP, but this is real time data. And it's very interesting, so we're clearly seeing a very heavy focus from cyber criminals and attackers to get around security controls, to do defense innovation, to do privilege escalation on systems. So in other words, trying to be common administrator so they can take full control of the system. As an example, lateral movement, there's still a preferred over 75%, 77 I believe percent of activity we observed from malware was still trying to move from system to system, by infecting removable media like thumb drives. And so it's interesting, right. It's a brand new look on these, a fresh look, but it's this high resolution, is allowing us to get a clear image, so that when we come to providing strategic guides and solutions in defense, and also even working on these takedown efforts, allows us to be much more effective. >> So one of the things that you said in the beginning was we talked about the increase in ransomware from last year to this year. You said, I don't think that we've hit that ceiling yet, but are we at an inflection point? Data showing that we're at an inflection point here with being able to get ahead of this? >> Yeah, I would like to believe so, there is still a lot of work to be done unfortunately. If we look at, there's a recent report put out by the Department of Justice in the US saying that, the chance of a criminal to be committing a crime, to be caught in the US is somewhere between 55 to 60%, the same chance for a cyber criminal lies less than 1%, well 0.5%. And that's the bad news, the good news is we are making progress in sending messages back and seeing results. But I think there's a long road ahead. So, there's a lot of work to be done, We're heading in the right direction. But like I said, they say, it's not just about that. It's, everyone has their role in this, all the way down to organizations and end users. If they're doing their part of making their networks more resilient through this, through all of the, increasing their security stack and strategy. That is also really going to stop the- really ultimately the profiteering that wave, 'cause that continues to build too. So it's a multi-stakeholder effort and I believe we are getting there, but I continue to still, I continue to expect the ransomware wave to build in the meantime. >> On the end-user front, that's always one of the vectors that we talk about, it's people, right? There's so much sophistication in these attacks that even security folks and experts are nearly fooled by them. What are some of the things that you're saying that governments are taking action on some recent announcements from the White House, but other organizations like Interpol, the World Economic Forum, Cyber Crime Unit, what are some of the things that governments are doing that you're seeing that as really advantageous here for the good guys? >> Yeah, so absolutely. This is all about collaboration. Governments are really focused on public, private sector collaboration. So we've seen this across the board with Fortiguard Labs, we're on the forefront with this, and it's really exciting to see that, it's great. There's always been a lot of will to work together, but we're starting to see action now, right? Interpol is a great example, they recently this year, held a high level forum on ransomware. I actually spoke and was part of that forum as well too. And the takeaways from that event were that we, this was a message to the world, that public, private sector we need. They actually called ransomware a pandemic, which is what I've referred to it as before in itself as well too. Because it is becoming that much of a problem and that we need to work together to be able to create action, action against this, measure success, become more strategic. The World Economic Forum were leading a project called the Partnership Against Cyber Crime Threat Map Project. And this is to identify, not just all this stuff we talked about in the threat landscape report, but also looking at, things like, how many different ransomware gangs are there out there. What do the money laundering networks look like? It's that side of the supply chain to map out, so that we can work together to actually take down those efforts. But it really is about this collaborative action that's happening and it's innovation and there's R&D behind this as well, that's coming to the table to be able to make it impactful. >> So it sounds to me like ransomware is no longer a- for any organization in any industry you were talking about the expansion of verticals. It's no longer a, "If this happens to us," but a matter of when and how do we actually prepare to remediate, prevent any damage? >> Yeah, absolutely, how do we prepare? The other thing is that there's a lot of, with just the nature of cyber, there's a lot of connectivity, there's a lot of different, it's not just always siloed attacks, right. We saw that with Colonial obviously, this year where you have attacks on IT, that can affect consumers, right down to consumers, right. And so for that very reason, everybody's infected in this. it truly is a pandemic I believe on its own. But the good news is, there's a lot of smart people on the good side and that's what gets me excited. Like I said, we're working with a lot of these initiatives. And like I said, some of those examples I called up before, we're actually starting to see measurable progress against this as well. >> That's good, well never a dull day I'm sure in your world. Any thing that you think when we talk about this again, in a few more months of the second half of 2021, anything you predict crystal ball wise that we're going to see? >> Yeah, I think that we're going to continue to see more of the, I mean, ransomware, absolutely, more of the targeted attacks. That's been a shift this year that we've seen, right. So instead of just trying to infect everybody for ransom, as an example, going after some of these new, high profile targets, I think we're going to continue to see that happening from the ransomware side and because of that, the average costs of these data breaches, I think they're going to continue to increase, it already did in 2021 as an example, if we look at the cost of a data breach report, it's gone up to about $5 million US on average, I think that's going to continue to increase as well too. And then the other thing too is, I think that we're going to start to see more, more action on the good side like we talked about. There was already a record amount of takedowns that have happened, five takedowns that happened in January. There were arrests made to these business partners, that was also new. So I'm expecting to see a lot more of that coming out towards the end of the year too. >> So as the challenges persist, so do the good things that are coming out of this. Where can folks go to get this first half 2021 Global Threat Landscape? What's the URL that they can go to? >> Yeah, you can check it out, all of our updates and blogs including the threat landscape reports on blog.fortinet.com under our threat research category. >> Excellent, I read that blog, it's fantastic. Derek, always a pleasure to talk to you. Thanks for breaking this down for us, showing what's going on. Both the challenging things, as well as the good news. I look forward to our next conversation. >> Absolutely, it was great chatting with you again, Lisa. Thanks. >> Likewise for Derek Manky, I'm Lisa Martin. You're watching this Cube Conversation. (exciting music)

Published Date : Aug 31 2021

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Welcome to this Cube Hey, it's great to be here again. So Derek, one of the things Now it's built to this monster, you know, One of the things that So that's the targets that Well, the home device So a lot of that activity but the amount, if you look at that we can talk about because with the good news Derek. of the activity it had before. So it's not just talking about the what, So one of the things that 'cause that continues to build too. What are some of the things And this is to identify, So it sounds to me like And so for that very reason, that we're going to see? more of the targeted attacks. so do the good things that including the threat landscape I look forward to our next conversation. chatting with you again, Lisa. Likewise for Derek

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Derek Manky, Fortinet | CUBEConversation


 

>>Welcome to this cube conversation. I'm Lisa Martin. I'm joined by Derek manky next, the chief security insights and global threat alliances at 40 guard labs. Derek. Welcome back. >>Yeah, it's great to be here again. So then, uh, uh, a lot of stuff's happened since we last talked. >>One of the things that was really surprising from this year's global threat landscape report is a 10 more than 10 X increase in ransomware. What's going on? What have you guys seen? >>Yeah, so, uh, th th this is, is massive. We're talking about a thousand percent over a 10, a 10 X increase. This has been building police. So this, this has been building since, uh, December of 2020 up until then we saw relatively low, uh, high watermark with ransomware. Um, it had taken a hiatus really because cyber criminals were going after COVID-19 lawyers and doing some other things at the time, but we did see us a seven fold increase in December, 2020. That is absolutely continued. Uh, continued this year into a momentum up until today. It continues to build never subsided. Now it's built to this monster, you know, almost 11 times increase from, from what we saw back last December and what the, uh, the reason what's fueling. This is a new verticals that cyber criminals are targeting. We've seen the usual suspects like telecommunication government and, uh, position one and two, but new verticals that have risen up into this, uh, third and fourth position following our MSSP. And this is on the heels of the Casia attack. Of course, that happened in 2021, as well as operational technology. There's actually four segments, there's transportation, uh, automotive manufacturing, and then of course, energy and utility all subsequent to each other. So there's a huge focus now on, on OTA and MSSP for cybercriminals. >>One of the things that we saw last year, this time was that attackers had shifted their focus away from enterprise infrastructure devices, to home networks and consumer grade products. And now it looks like they're focusing on both. Are you seeing that? >>Yes, absolutely. I in two ways. So first of all, again, this is a kill chain that we talk about. They have to get a foothold into the infrastructure, and then they can load things like ransomware on there. They can little things like information Steelers as an example, the way they do that is through botnets. And, uh, what we reported in this, um, in the first half of 2021 is that Mariah, which is about a two to three-year old button that now is, is number one by far, it was the most prevalent bond that we've seen. Of course, the thing about Mariah is that it's an IOT based bot net. So it sits on devices, uh, sitting inside a consumer networks as an example, or home networks, right? And that, that can be a big problem. So that's the targets that cyber criminals are using. The other thing that we saw that was interesting was that one in four organizations detected malvertising. >>And so what that means at least, is that cyber criminals are shifting their tactics from going just from cloud-based or centralized email phishing campaigns to a web born threats, right? So they're infecting sites, waterhole attacks, where people would go to read their, their, their daily updates as an example of things that they do as part of their habits. Um, they're getting sent links to these sites that when they go to it, it's actually installing those botnets onto those systems. So they can get a foothold. We've also seen scare tactics, right? So they're doing new social engineering Lewis pretending to be human resource departments, uh, you know, uh, uh, it staff and personnel, as an example, with pop-ups through the web browser that looked like these people to fill out different forms and ultimately get infected on, on a home devices. >>Well, the home device we use is proliferate. It continues because we are still in this work from home work, from anywhere environment. Is that when you think a big factor in this increased from seven X to nearly 11 X, >>It is a factor. Absolutely. Yeah. Like I said, it's, it's also, it's a hybrid of sorts. So, so a lot of that activity is going to the MSSP, uh, angle, like I said, uh, to, to the OT. And so to those verticals, which by the way, are actually even larger than traditional targets in the past, like, uh, finance and banking is actually lower than that as an example. So yeah, we are seeing a shift to that. And like I said, that's, that's further, uh, backed up from what we're seeing on with the, the, the, the botnet activity specifically with Veronica too. Are >>You seeing anything in terms of the ferocity? We know that the volume is increasing. Are they becoming more ferocious? These attacks? >>Yeah. Yeah. There, there is. There's a lot of aggression out there, certainly from, from criminals. And I would say that the velocity is increasing, but the amount of, if you look at the cyber criminal ecosystem, the, the stakeholders, right. Um, that is increasing, it's not just one or two campaigns that we're seeing. Again, we're seeing, this has been a record cases here almost every week. We've seen one or two significant, you know, cyber security events that are happening. That is a dramatic shift compared to, to, to last year or even, you know, two years ago too. And this is because, um, because the cyber criminals are getting deeper pockets now, they're, they're becoming more well-funded and they have business partners, affiliates that they're hiring each one of those has their own methodology, and they're getting paid big. We're talking up to 70 to 80% commission, just if they actually successfully, you know, in fact, someone that pays for the ransom as an example. And so that's really, what's driving this too. It's, it's, it's a combination of this kind of perfect storm as we call it. Right. You have this growing attack surface and work from home, uh, environments, um, and footholds into those networks. But you have a whole bunch of other people now on the bad side that are orchestrating this and executing the attacks too. >>What can organizations do to start to slow down or limit the impacts of this growing ransomware as a service? >>Yeah, great question. Um, everybody has their role in this, I say, right? So, uh, if we look at, from a strategic point of view, we have to disrupt cyber crime. How do we do that? Um, it starts with the kill chain. It starts with trying to build resilient networks. So things like a ZTE and a zero trust network access, a SD LAN as an example, as an example for producting that land infrastructure on, because that's where the threats are floating to, right? That's how they get the initial footholds. So anything we can do on the, on the, you know, preventative, preventative side, making, uh, networks more resilient, um, also education and training is really key. Things like multi-factor authentication are all key to this because if you build that, uh, uh, preventatively and that's a relatively small investment upfront, Lisa compared to the collateral damage that can happen with these ransomware, it passes, the risk is very high. Um, that goes a long way. It also forces the attackers to it slows down their velocity. It forces them to go back to the drawing board and come up with a new strategy. So that is a very important piece, but there's also things that we're doing in the industry. There's some good news here too, uh, that we can talk about because there's, there's things that we can actually do. Um, apart from that to, to really fight cyber crime, to try to take the cyber criminal cell phone. >>All right. Hit me with the good news Derek. >>Yeah. So, so a couple of things, right. If we look at the bot net activity, there's a couple of interesting things in there. Yes, we are seeing Mariah rise to the top right now, but we've seen big problems of the past that have gone away or come back, not as prolific as before. So two specific examples, a motel that was one of the most prolific botnets that was out there for the past two to three years, there is a take-down that happened in January of this year. Uh, it's still on our radar, but immediately after that takedown, it literally dropped to half of the activity. It hadn't before. And it's been consistently staying at that low watermark now had that half percentage since, since that six months later. So that's very good news showing that the actual coordinated efforts that we're getting involved with law enforcement, with our partners and so forth to take down, these are actually hitting their supply chain where it hurts. >>Right. So that's good news part one trick. Bob was another example. This is also a notorious spot net take down attempt in Q4 of 2020. It went offline for about six months. Um, in our landscape report, we actually show that it came back online, uh, in about June this year. But again, it came down, it came back weaker and another form is not nearly as prolific as before. So we are hitting them where it hurts. That's, that's the really good news. And we're able to do that through new, um, what I call high resolution intelligence. >>Talk to me about that high resolution intelligence. What do you mean by that? >>Yeah, so this is cutting edge stuff really gets me excited and keeps, keeps me up at night in a good way. Uh, cause we're, we're looking at this under the microscope, right? It's not just talking about the why we know there's problems out there. We know there's, there's ransomware. We know there's the botnets, all these things, and that's good to know, and we have to know that, but we're able to actually zoom in on this now and look at it. So we, for the first time in the threat landscape report, we've published TTPs, the techniques, tactics procedures. So it's not just talking about the, what it's talking about, the how, how are they doing this? What's their preferred method of getting into systems? How are they trying to move from system to system and exactly how are they doing that? What's the technique. And so we've highlighted that it's using the MITRE attack framework TTP, but this is real-time data. >>And it's very interesting. So we're clearly seeing a very heavy focus from cyber criminals and attackers to get around security controls, to do defensive, Asian, to do privilege escalation on systems. So in other words, trying to be common administrator so they can take full control of the system. Uh, as an example, a lateral movement on there's still a preferred over 75%, 77, I believe percent of activity we observed from malware was still trying to move from system to system by infecting removable media like thumb drives. And so it's interesting, right? It's a brand new look on the, these a fresh look, but it's this high resolution is allowing us to get a clear image so that when we come to providing strategic guidance and solutions of defense, and also even working on these, take down that Fritz, it allows us to be much more effective. So >>One of the things that you said in the beginning was we talked about the increase in ransomware from last year to this year. You said, I don't think that we've hit that, that ceiling yet, but are we at an inflection points, the data showing that we're at an inflection point here with being able to get ahead of this? >>Yeah, I, I, I would like to believe so. Um, it, there is still a lot of work to be done. Unfortunately, if we look at, you know, there is a, a recent report put out by the department of justice in the S saying that, you know, the chance of, uh, criminal, uh, to be committing a crime, but to be caught in the U S is somewhere between 55 to 60%, the same chance for a cyber criminal lies less than 1% above 0.5%. And that's the bad news. The good news is we are making progress and sending messages back and seeing results. But I think there's a long road ahead. So, um, you know, there there's a lot of work to be done. We're heading in the right direction. But like I said, they say, it's not just about that. It's everyone has, has their role in this all the way down to organizations and end users. If they're doing their part and making their networks more resilient through this, through all the, you know, increasing their security stack and strategy, um, that is also really going to stop the, you know, really ultimately the profiteering, uh, that, that wave, you know, cause that continues to build too. So it's, it's a multi-stakeholder effort and I believe we are, we are getting there, but I continue to still, uh, you know, I continue to expect the ransomware wave to build. In the meantime, >>On the end user front, that's always one of the vectors that we talk about it's people, right? It's there's so there's so much sophistication in these attacks that even security folks and experts are nearly fooled by them. What are some of the things that you're saying that governments are taking action on some recent announcements from the white house, but other organizations like Interpol, the world, economic forum, cyber crime unit, what are some of the things that governments are doing that you're seeing that as really advantageous here for the good guys? >>Yeah, so absolutely. This is all about collaboration. Governments are really focused on public private sector collaboration. Um, so we've seen this across the board, uh, with 40 guard labs, we're on the forefront with this, and it's really exciting to see that it's great. Uh, there, there, there's always been a lot of will work together, but we're starting to see action now. Right. Um, Interpol is a great example. They recently this year held a high level forum on ransomware. I was actually spoken was part of that forum as well too. And the takeaways from that event were that we, this was a message to the world, that public private sector we need. They actually called ransomware a pandemic, which is what I've referred to it as before in itself as well too, because it is becoming that much of a problem and that we need to work together to be able to create action, action action against this measure, success become more strategic. >>The world economic forum, uh, were, were, uh, leading a project called the partnership against cyber crime threat map project. And this is to identify not just all this stuff we talked about in the threat landscape report, but also looking at, um, you know, things like how many different ransomware gangs are there out there. Uh, what are their money laundering networks look like? It's that side of the side of the supply chains of apple so that we can work together to actually take down those efforts. But it really is about this collaborative action that's happening and it's, um, innovation and there's R and D behind this as well. That's coming to the table to be able to make, you know, make it impactful. >>So it sounds to me like ransomware is no longer a for any organization in any, any industry you were talking about the expansion of verticals, it's no longer a, if this happens to us, but a matter of when and how do we actually prepare to remediate prevent any damage? Yeah, >>Absolutely. How do we prepare? The other thing is that there's a lot of, um, you know, with just the nature of, of, of cyber, there's a lot of, uh, connectivity. There's a lot of different, uh, it's not just always siloed attacks. Right? We saw that with colonial obviously this year where you have the talks on, on it that can affect consumers right now to consumers. Right. And so for that very reason, um, everybody's infected in this, uh, it, it truly is a pandemic, I believe on its own. Uh, but the good news is there's a lot of smart people, uh, on the good side and, you know, that's what gets me excited. Like I said, we're working with a lot of these initiatives and like I said, some of those examples I called up before, we're actually starting to see measurable progress against this as well. >>That's good. Well, never adult day, I'm sure. In your world, any thing that you think when we talk about this again, in a few more months of the second half of 2021, anything that, that you predict crystal ball wise that we're going to see? >>Yeah. I think that we're going to continue to see more of the, I mean, ransomware, absolutely. More of the targeted attacks. That's been a shift this year that we've seen. Right. So instead of just trying to infect everybody for ransom, but as an example of going after some of these new, um, you know, high profile targets, I think we're going to continue to see that happening from there. Add some more side on, on, and because of that, the average costs of these data breaches, I think they're going to continue to increase. Um, they had already did, uh, in, uh, 20, uh, 2021, as an example, if we look at the cost of the data breach report, it's gone up to about $5 million us on average, I think that's going to continue to increase as well too. And then the other thing too, is I think that we're going to start to see more, um, more, more action on the good side. Like we talked about, there was already a record amount of take downs that have happened five take downs that happened in January. Um, there were, uh, arrests made to these business partners that was also new. So I'm expecting to see a lot more of that coming out, uh, uh, towards the end of the year, too. >>So as the challenges persist, so do the good things that are coming out of this. They're working folks go to get this first half 2021 global threat landscape. What's the URL that they can go to. >>Yeah, you can check it all, all of our updates and blogs, including the threat landscape reports on blog about 40 nine.com under our threat research category. >>Excellent. I read that blog. It's fantastic. Derek, always a pleasure to talk to you. Thanks for breaking this down for us showing what's going on. Both the challenging things, as well as the good news. I look forward to our next conversation. >>Absolutely. It's great. Chatting with you again, Lisa. Thanks. >>Likewise for Derek manky. I'm Lisa Martin. You're watching this cube conversation.

Published Date : Aug 31 2021

SUMMARY :

the chief security insights and global threat alliances at 40 guard labs. So then, uh, uh, a lot of stuff's happened since we last talked. One of the things that was really surprising from this year's global threat landscape report is a 10 uh, December of 2020 up until then we saw relatively low, One of the things that we saw last year, this time was that attackers had shifted their focus away from enterprise So first of all, again, this is a kill chain that we talk about. So they're doing new social engineering Lewis pretending to be human resource departments, uh, Well, the home device we use is proliferate. So, so a lot of that activity is going to the MSSP, uh, angle, like I said, We know that the volume is increasing. It's, it's, it's a combination of this kind of perfect storm as we call it. It also forces the attackers to it slows Hit me with the good news Derek. Uh, it's still on our radar, but immediately after that takedown, it literally dropped to half of the activity. So we are hitting them where it hurts. What do you mean by that? It's not just talking about the why we know there's It's a brand new look on the, these a fresh look, but it's this high One of the things that you said in the beginning was we talked about the increase in ransomware from last year to this year. of justice in the S saying that, you know, the chance of, uh, criminal, uh, to be committing On the end user front, that's always one of the vectors that we talk about it's people, right? because it is becoming that much of a problem and that we need to work together to be able to create action, And this is to identify not just all this stuff we talked about in the threat landscape uh, on the good side and, you know, that's what gets me excited. anything that, that you predict crystal ball wise that we're going to see? So I'm expecting to see a lot more of that coming out, uh, uh, So as the challenges persist, so do the good things that are coming out of this. Yeah, you can check it all, all of our updates and blogs, including the threat landscape reports on blog about 40 nine.com under Both the challenging things, as well as the good news. Chatting with you again, Lisa. I'm Lisa Martin.

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Unpacking IBM's Summer 2021 Announcement | CUBEconversation


 

(soft music) >> There are many constants in the storage business, relentlessly declining cost per bit, innovations that perpetually battled the laws of physics, a seemingly endless flow of venture capital, despite the intense competition. And there's one other constant in the storage business, Eric Hertzog, and he joins us today in this CUBE video exclusive to talk about IBM's recent storage announcements. Eric, welcome back to theCUBE. >> Great, Dave, thanks very much, we love being on theCUBE and you guys do a great job of informing the industry about what's going on in storage and IT in general. >> Well, thank you for that. >> Great job. >> We're going to cover a lot of ground today. IBM Storage, made a number of announcements the past month around data resilience, a new as-a-service model, which a lot of folks are doing in the industry, you've made performance enhancements. Can you give us the top line summary of the hard news, Eric? >> Sure, the top line summary is of course cyber security is on top of mind for everybody in the recent Fortune 500 list that came out, you probably saw, there was a survey of CEOs of Fortune 500 companies, they named cybersecurity as their number one concern, not war, not pandemic, but cybersecurity. So we've got an announcement around data resilience and cyber resiliency built on our FlashSystem family with our new offering, Safeguarded Copy. And the second thing is the move to a new method of storage consumption. Storage-as-a-Service, a pay-as-you-go model, cloud-like the way people buy cloud storage, that's what you can do now from IBM Storage with our Storage-as-a-Service. Those are the key, two takeaways, Dave. >> Yeah and I want to stay on the trends that we're seeing in cyber for a moment, the work from home pivot in the hybrid work approach has really created a new exposures, people aren't as secure outside of the walled garden of the offices and we've seen a dramatic escalation in the adversaries capabilities and techniques, another least of which is island hopping, in other words, putting code fragments in the digital supply chain, they reform once they're inside the company and it's almost like this organic creepy thing that occurs. They're also living as you know, stealthily for many, many months, sometimes years, exfiltrating data, and then just waiting and then when companies respond, the incidents response trigger a ransomware incident. So they escalate the cyber crime and it's just a really, really bad situation for victims. What are you seeing in that regard and the trends? >> Well, one of the key things we see as everyone is very concerned about cybersecurity. The Biden administration has issued (indistinct) not only to the government sector, but to the private sector, cyber security is a big issue. Other governments across the world have done the same thing. So at IBM Storage, what we see is taking a comprehensive view. Many people think that cybersecurity is moat with the alligators, the castle wall and then of course the sheriff of Nottingham to catch the bad guys. And we know the sheriff of Nottingham doesn't do a good job of catching Robin Hood. So it takes a while as you just pointed out, sitting there for months or even longer. So one of the key things you need to do in an overall cybersecurity strategy is don't forget storage. Now our announcement around Safeguarded Copy is very much about rapid recovery after an attack for malware or ransomware. We have a much broader set of cyber security technology inside of IBM Storage. For example, with our FlashSystem family, we can encrypt data at rest with no performance penalty. So if someone steals that data, guess what? It's encrypted. We can do anomalous pattern detection with our backup product, Spectrum Protect Plus, why would you care? Well, if theCUBE's backup was taking two hours on particular datasets and all of a sudden it was taking four hours, Hmm maybe someone is encrypting those backup data sets. And so we notify. So what we believe at IBM is that an overarching cybersecurity strategy has to keep the bad guys out, threat detection, anomalous pattern behavior on the network, on the servers, on the storage and all of that, chasing the bad guy down once they breach the wall, 'cause that does happen, but if you don't have cyber and data resilience built into your storage technology, you are leaving a gap that the bad guys can explain, whether that be the malware ransomware guys oh by the way, Dave, there still is internal IT theft that there was a case about 10 years ago now where 10 IT guys stole $175 million. I kid you not, $175 million from a bunch of large banks across the country, and that was an internal IT theft. So between the internal IT issues that could approach you malware and ransomware, a comprehensive cybersecurity strategy, must include storage. >> So I want to ask you about come back to Safeguarded Copy and you mentioned some features and capabilities, encrypting data at rest, your anomalous pattern recognition inferring, you're taking a holistic approach, but of course you've got a storage centricity, what's different about your cyber solution? What's your unique value probability to your (indistinct) . >> Well, when you look at Safeguarded Copy, what it does is it creates immutable copies that are logically air-gapped, but logically air-gapped locally. So what that means is if you have a malware or ransomware attack and you need to do a recovery, whether it be a surgical recovery or a full-on recovery, because they attacked everything, then we can do recovery in a couple hours versus a couple of days or a couple of weeks. Now, in addition to the logical local air-gapping with Safeguarded Copy, you also could do remote logical air-gapping by snapping out to the cloud, which we also have on our FlashSystem products and you also of course, could take our FlashSystem products and back up to tape, giving you a physical air gap. In short, we give our customers three different ways to help with malware and ransomware. >> Let me ask you- >> Are air-gapped locally. >> Yeah, please continue, I'm sorry. >> So our air-gapping locally for rapid recovery, air-gapping remotely, which again, then puts it on the cloud provider network, so hopefully they can't breach that. And then clearly a physical air gap going out to tape all three and on the mainframe, we have Safeguarded Copy already, Dave and several of our mainframe customers actually do two of those things, they'll do Safeguarded Copy or rapid recovery locally, but they'll also take that Safeguarded Copy and either put it out to tape or put it out to a cloud provider with a remote logical air-gap using a snapshot. >> I want to ask you a question about management 'cause when you ask CSOs, what's your number one challenge, they'll say lack of talent, We've got all these tools and all this lack of skills to really do all this stuff. Can't hire people fast enough and they don't have the skills. So when you think about it, and so what you do is you bring a lot of automation into the orchestration and management. My question is this, when you set up air gaps, do you recommend, or what do you see in terms of not, of logically and physically not only physically separating the data, but also the management and orchestration and automation does that have to be logically air-gapped as well or can you use the same management system? What's best practice there? >> Ah, so what we do is we work with our copy management software, which will manage regular copies as well, but Safeguarded Copies are immutable. You can't write to them, you can't get rid of them and they're logically air-gapped from the local hosts. So the hosts, for the Safeguarded Copies that immutable copy, you just made, the hosts don't even know that it's there. So you manage that with our copy management software, which by the way, we'll manage regular snapshots and replicas as well, but what that allows you to do is allows you to automate, for example, you can automate recovery across multiple FlashSystem arrays, the copy services manager will allow you to set different parameters for different Safeguarded Copies. So a certain Safeguarded Copy, you could say, make me a copy every four hours. And then on another volume on a different data set, you could say, make me a copy every 12 hours. Once you set all that stuff update, it's completely automated, completely automated. >> So, I want to come back to something you mentioned about anomalous pattern recognition and how you help with threat detection. So a couple of a couple of quick multi-part question here. First of all, the backup corpus is an obvious target. So that's an area that you have to protect. And so can, and you're saying, you've used the example if your backups taking too long, but so how do you do that? What's the technology behind that? And then can you go beyond, should you go beyond just the backup corpus, with primary data or copies on-prem, et cetera? Two part questions. >> So when we look at it, the anomalous pattern detection is part of our backup software, say Spectrum Protect and what it does it uses AI-based technology, it recognizes a pattern. So it knows that the backup dataset for the queue takes two hours and it recognizes that, and it sees that as the normal state of events. So if all of a sudden that backup that theCUBE was doing used to take two hours and starts taking four, what it does is that's an anomalous pattern, it's not a normal pattern. It'll send a note to the backup admin, the storage admin, whoever you designate it to and say the backup data set for theCUBE that used to take two hours, it's taken four hours, you probably ought to check that. So when we view cyber resiliency from a storage perspective, it's broad. We just talked about anomalous pattern detection in Spectrum Protect. We were talking most of the conversation about our Safeguarded Copy, which is available on the mainframe for several years and is now available on FlashSystems, making immutable local air-gap copies, that can be rapidly recovered and are immutable and can help you recover for a malware or ransomware attack. Our data at rest encryption happens to be with no performance penalty. So when you look at it, you need to create an overarching strategy for cybersecurity and then when you look at your storage estate, you need to look at your secondary storage, backup, replicas, snaps, archive, and have a strategy there to protect that and then you need a strategy to protect your primary storage, which would be things like Safeguarded Copy and encryption. So then you put it all together and in fact, Dave, one of the things we offer is a free cyber resilience assessment. It's not only for IBM Storage, but it happens to be a cyber resilience assessment that conforms to the NIST Framework and it's heterogeneous. So if you're a big company, you've got IBM EMC and HP Storage, guess what? It's all about the data sets not about the storage. So we say, you said these 10 data sets are critical, why are you not encrypting them? These data sets are XYZ, why are you not air-gapping them? So we come up based on the NIST Framework, a set of recommendations that are not IBM specific, but they are storage specific. Here's how you make your storage more resilient, both your secondary storage and your primary storage. That's how we see the big thing and Safeguarded Copy of course fits in on the primary storage side, A on the mainframe, which we've had for several years now and B in the Linux world, the Unix world and the Windows Server world on our FlashSystem portfolio with the announcement we did on July 20th. >> Great, thank you for painting that picture. Eric, are you seeing any use case patterns emerge in this space? >> Well, we see a couple of things. First of all, is A most resellers and most end-users, don't see storage an overarching part of the cybersecurity strategy, and that's starting to change. Second thing we're seeing is more and more storage companies are trying to get into this bailiwick of offering cyber and data resilience. The value IBM brings of course is much longer experience to that and we even integrate with other products. So for example, IBM offers a product called QRadar from the security divisions not a storage product, a security product, and it helps you with early data breach recognition. So it looks at servers, network access, it looks at the storage and it actually integrates now with our Safeguarded Copy. So, part of the value that we bring is this overarching strategy of a comprehensive data and cyber resilience across our whole portfolio, including Safeguarded Copy our July 20th announcement. But also integration beyond storage now with our QRadar product from IBM security division. And there will be future announcements coming in both Q4 and Q1 of additional integration with other security technologies, so you can see how storage can be a vital COD in the corporate cybersecurity strategy. >> Got it, thank you. Let's pivot to the, as-a-service it's, cloud obviously is brought in that as-a-service. Now, it seems like everybody has one now. You guys have announced obviously HPE, Dell, Lenovo, Cisco, Pure, everybody's gotten out there as-a-service model, what do we need to know about your as-a-service solution and why is it different from the others? >> Sure. Well, one of the big differences is we actually go on actual storage, not effective. So when you look at effective storage, which most of them do that includes creating the (indistinct) data sets and other things, so you're basically paying for that. Second thing we do is we have a bigger margin. So for example, if theCUBE says we want SLA-3 and we sell it by the SLA, Dave, SLA-1, two and three. So let's say theCUBE needs SLA-3 and the minimum capacity is a 100 terabytes, but let's say you think you need 300 terabytes. No problem. You also have a variable. One of the key differences is unlike many of our competitors, the rate for the base and the rate for the variable are identical. Several of our competitors, when you're in the base, you pay a certain amount, when you go into the variable, they charge you a premium. The other key differentiator is around data reduction. Some of our competitors and all storage companies have data reduction technology. Block-level D do thin provisioning, compression, we all offer those features. The difference is with IBM's pay-as-you-grow, Storage-as-a-Service model, if you have certain data sets that are not very deducible, not very compressible, we absorbed that with our competitors, most of them, if the dataset is not easily deducible, compressible, and they don't see the value, they actually charge you a premium for that. So that is a huge difference. And then the last big difference is our a 100% availability guarantee. We have that on our FlashSystem product line, we're the only one offering 100% availability guarantee. We also against many of the competitors offer a better base nines, as you know, availability characteristics. We offer six nines of availability, which is five minutes and 26 seconds of downtime and a 100% availability of offering. Some of our competitors only offer four nines of availability and if you want five or six, they charge you extra. We give you six nines base in which has only five minutes and change of downtime in a year. So those are the key difference between us and the other as-a-service models out there. >> So, the basic concept I think, is if you commit to more and buy more, you pay less per. I mean, that's the basic philosophy of these things, right? So, if- >> Yes. >> I commit to you X, let's say, I want to just sort of start small and I commit to you to X and great. I'm in now in, maybe I sign up for a multi-year term, I commit this much, whatever, a 100 terabytes or whatever the minimum is. And then I can say, Hey, you know what? This is working for me. The CFO likes it and the IT guys can provision more seamlessly, we got our chargeback or showback model goes, I want to now make a bigger commitment and I can, and I want to sort of, can I break my three-year term and come back and then renegotiate, kind of like reserved instances, maybe bigger and pay less? How do you approach that? >> Well, what you do is we do a couple of things. First of all, you could always add additional capacity, and you just call up. We assign a technical account manager to every account. So in addition to what you get from the regular sales team and what you get from our value business partners, by the way, we did factor in the business partners, Dave, into this, so business partners will have a great pay-as-you-go Storage-as-a-Service solution, that includes partners and their ability to leverage. In fact, several of our partners that do have both MSP and MHP businesses are working right now to leverage our Storage-as-a-Service, and then add on their own value with their own MSP and MHP capability. >> And they can white label that? Is that right or? >> Well, you'd still have Storage-as-a-Service from IBM. They would resell that to theCUBE and then they'd add in their own MHP or MSP. >> Got it. >> That said partners interested in doing a white label, we would certainly entertain that capability. >> Got it. I interrupted you, carry on please. >> Yeah, you can go ahead and add more capacity, not a problem. You also can change the SLA. So theCUBE, one of the leading an industry analyst firms, you bought every analyst firm in the world, and you're using IBM Storage-as-a-Service, pay-as-you-go cloud-like model. So what you do is you call up the technical account manager and say, Eric, we bought all these other companies they're using on-prem storage, we'd like to move to Storage-as-a-Service for all the companies we acquire. We can do that, so that would up your capacity. And then you could say, now we've been at SLA-2, but because we're adding all these new applications of workloads from our acquired companies, we want some of it to be at SLA-1. So we can have some of your workloads on SLA-2, others on SLA-1, you could switch everything to SLA-1, and you just call your technical account manager and they'll make that happen for you or your business partner, obviously, if you bought through the channel. >> I get it, the hard question is what if all those other companies theCUBE acquired are also IBM Storage-as-a-Service customers? Can I, what's that discussion like? Hey, can I consolidate those and get a better deal? >> Yeah, there are all Storage-as-a-Service customers and Dave I love that thought, we would just figure out a way to consolidate the agreement. The agreements are one through five years. What I think also that's very unique is let's say for whatever reason, and we all love finance people. Let's say the IT guys have called the finance and say, we did a one-year contract, we now like to do a three-year contract. The one year is coming up and guess what? Finance's delayed for whatever reason, the PO doesn't go through. So the ITI calls up the technical account manager, we love your service, it's delayed in finance. We will let them stay on their Storage-as-a-Service, even though they don't have a contract. Now, of course they've told us they want to do one, but if they exceed the contract by a quarter or two, because they can't get the finance guys are messing with the IT guys, that's fine. What the key differentiators? Exactly the same price. Several of our competitors will also extend without a contract, but until you do a contract, they charge you a premium, we do not, whatever, if you're an SLA-3, you're SLA-3, we'll extend you and no big deal. And then you do your contract, when the finance guys get their act together and you're ready to go. So that is something we can do and we'll do on a continual basis. >> Last question. Let's go way out. So, we're not doing any time, near-term forecasts, I'm trying to understand how popular you think as-a-service is going to be. I mean, if you think about the end of the decade, let's think industry total, IBM specific, how popular do you think as-a-service models will be? Do you think it will be the majority of the transacted business or it's kind of more of a, just one of many? >> So I think there will be many, some people will still have bare metal on-premises. Some people will still do virtualization on-premises or in a hybrid cloud configuration. What I do think though is Storage-as-a-Service will be over 50% by the end. Remember, we're sitting at 2021. So we're talking now 2029. >> Right. >> So I think Storage-as-a-Service will be over 50%. I think most of that Storage-as-a-Service will be in a hybrid cloud model. I think the days of a 100% cloud, which is the way it started. I think a lot of people realize that a 100% cloud actually is more expensive than a hybrid cloud or fully on-prem. I was at a major university in New York, they are in the healthcare space and I know their CIO from one of my past lives. I was talking to him, they did a full on analysis of all the cloud providers going a 100% cloud. And their analysis showed that a 100% cloud, particularly for highly transactional workloads was 50% more expensive than buying it, paying the maintenance and paying their employees. So we did an all in view. So what I think it's going to be is Storage-as-a-Service will be over 50%. I think most of that Storage-as-a-Service will be in a hybrid cloud configuration with storage on-prem or in a colo, like what our IBM pay-as-you-go service will do and then it will be accessed and available through a hybrid cloud configuration with IBM Cloud, Google, Amazon as or whoever the cloud provider is. So I do think that you're looking at over 50% of the storage being as-a-service, but I do think the bulk of that as-a-service will be as-a-service through someone like IBM or our competitors and then part of it will be from the cloud providers. But I do think you're going to see a mix because right now the expense of going a 100% cloud cloud storage is dramatically understated and when someone does an analysis like that major university in New York did, they had a guy from finance, help them do the analysis and it was 50% more expensive than doing on-premise either on-prem or on-prem as-a-service, both were way cheaper. >> But you own the asset, right? >> Yes. >> As-a-service model. >> We, right, we own the asset. >> And I would bet, >> I would bet that over the lifetime value of the spend and it as-a-service model, just like the cloud, if you do this with IBM or any of your competitors, I would bet that overall you're going to spend more just like you've seen in the cloud, but you get the benefit is the flexibility that you get. >> Yeah, yeah. If you compare it to the, so obviously the number one model would be to buy. That's probably going to be the least expensive. >> Right. >> But it's also the least flexible. Then you also have leasing, more flexibility, but leasing usually is more expensive. Just like when you lease your car, if you add up all the lease payments and then you, at the end, pay that balloon payment to buy, it's cheaper to buy the car up front than it is to lease a car. Same thing with any IT asset, now storage network servers, all are available on leasing, the net is at the bottom line, that's more than buying it upfront. And then Storage-as-a-Service will also be more expensive than buying it, my friend, but ultimate capability, altering SLAs, adding new capacity, being able to handle an app very quickly. We can provision the storage, as you mentioned, the IT guys can easily provision. We provision, the storage in 10 minutes, if you bought from IBM Storage or any competitor you bought and you need more storage, A you got to put a PO through your system and if you're not theCUBE, but you're a giant global Fortune 500, sometimes it takes weeks to get the PO done. Then the PO has to go to the business partner, the business partner has got to give a PO to the distributor and a PO to IBM. So it can take you weeks to actually get the additional storage that you need. With Storage-as-a-Service from IBM with our pay-as-you-go, cloud-like model, all you have to do is provision and you're done. And by the way, we provide a 50% overage for free. So if they end up needing more storage, that 50% is actually sitting on-prem already and if they get to 75% utilization of the total amount of storage, we then call them up, the technical account manager would call them up and their business partner and say, Dave, do you know that you guys are at 75% full? We'd like to come add some additional storage to get you back down to a 50% margin. And by the way, most of our competitors only do a 25% margin. So again, another differentiator for IBM Storage-as-a-Service. >> What about, I said, last question, but I have another question. What about day one? Like how long does it take, if I want to start fresh with as-a-service? >> Get it. >> How long does it take to get up and running? >> Basically you put the PO through, whatever it takes on your side or through your business partner, we then we'll sign the technical account manager, will call you up because you need to tell us, do you want to, in a colo facility that you're working with or do you want to put it on on-prem? And then once we do that, we just schedule a time for your IT guys do the install. So, probably two weeks. >> Yeah. >> It all depends because you've got to call back and say, Eric, we'd like it at our colo partner, our colo partners, ABC, we got to call ABC and then get back to you or on-prem , we're going to have guys in the office, a good day when it's not going to be too busy. Could you come two weeks from Thursday? Which now would be three weeks for sake of argument. But that would be, we interface with the customer, with the technical account manager to do it on your schedule on your time, whether you do it in your own facility or use a colo provider. >> Yeah, but once you tell, once I tell you, once we get through all that stuff, it's two weeks from when that's all agreed. >> Yeah. >> It's like the Xerox copier salesman, (Dave chuckles) Where are you going to put it? Once you decide where you're going to put it, then it's a couple of weeks. It's not a month or two months or yeah. >> Yeah, it's not. And we need additional capacity, remember there's a 50% margin sitting there. So if you need to go into the variable and use it, and when we hit a 75%, we actually track it with our storage insights pro. So we'll call you up and say, Dave, you're at 76%. We'd like to add more storage to give you better margin of extra storage and you would say, great, when can we do it? So, yeah, we're proactive about that to make sure that you stay at that 50% margin. Again, our competitors, all do only have 25% margin. So we're giving you that better margin, a larger margin in case you really have a high capacity demand for that quarter and we proactively will call you up, if we think you need more based on monitoring your storage usage. >> Great. Eric got to go, thank you so much for taking us through that great detail, I really appreciate it. Always good to see you. >> Great, thanks Dave, really appreciate it. >> Alright, thank you for watching this CUBE conversation, this is Dave Vellante and we'll see you next time. (soft music)

Published Date : Aug 19 2021

SUMMARY :

in the storage business, and you guys do a great job of the hard news, Eric? that's what you can do now of the offices and we've So one of the key things you need to do and you mentioned some and you also of course, could and either put it out to tape and so what you do is you So you manage that with our and how you help with threat detection. and then you need a strategy Eric, are you seeing any use case patterns and it helps you with early and why is it different from the others? So when you look at effective storage, is if you commit to more and and I commit to you to X and great. So in addition to what you get theCUBE and then they'd add in we would certainly entertain I interrupted you, and you just call your And then you do your contract, I mean, if you think about So I think there will be many, of the storage being as-a-service, the flexibility that you get. If you compare it to the, the additional storage that you need. if I want to start fresh will call you up because then get back to you Yeah, but once you Where are you going to put it? So if you need to go into you so much for taking us really appreciate it. Alright, thank you for

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Ajay Singh, Pure Storage | CUBEconversation


 

(upbeat music) >> The Cloud essentially turned the data center into an API and ushered in the era of programmable infrastructure, no longer do we think about deploying infrastructure in rigid silos with a hardened, outer shell, rather infrastructure has to facilitate digital business strategies. And what this means is putting data at the core of your organization, irrespective of its physical location. It also means infrastructure generally and storage specifically must be accessed as sets of services that can be discovered, deployed, managed, secured, and governed in a DevOps model or OpsDev, if you prefer. Now, this has specific implications as to how vendor product strategies will evolve and how they'll meet modern data requirements. Welcome to this Cube conversation, everybody. This is Dave Vellante. And with me to discuss these sea changes is Ajay Singh, the Chief Product Officer of Pure Storage, Ajay welcome. >> Thank you, David, gald to be on. >> Yeah, great to have you, so let's talk about your role at Pure. I think you're the first CPO, what's the vision there? >> That's right, I just joined up Pure about eight months ago from VMware as the chief product officer and you're right, I'm the first our chief product officer at Pure. And at VMware I ran the Cloud management business unit, which was a lot about automation and infrastructure as code. And it's just great to join Pure, which has a phenomenal all flash product set. I kind of call it the iPhone or flash story super easy to use. And how do we take that same ease of use, which is a heart of a Cloud operating principle, and how do we actually take it up to really deliver a modern data experience, which includes infrastructure and storage as code, but then even more beyond that and how do you do modern operations and then modern data services. So super excited to be at Pure. And the vision, if you may, at the end of the day, is to provide, leveraging this moderate experience, a connected and effortless experience data experience, which allows customers to ultimately focus on what matters for them, their business, and by really leveraging and managing and winning with their data, because ultimately data is the new oil, if you may, and if you can mine it, get insights from it and really drive a competitive edge in the digital transformation in your head, and that's what be intended to help our customers to. >> So you joined earlier this year kind of, I guess, middle of the pandemic really I'm interested in kind of your first 100 days, what that was like, what key milestones you set and now you're into your second a 100 plus days. How's that all going? What can you share with us in and that's interesting timing because the effects of the pandemic you came in in a kind of post that, so you had experience from VMware and then you had to apply that to the product organization. So tell us about that sort of first a 100 days and the sort of mission now. >> Absolutely, so as we talked about the vision, around the modern data experience, kind of have three components to it, modernizing the infrastructure and really it's kudos to the team out of the work we've been doing, a ton of work in modernizing the infrastructure, I'll briefly talk to that, then modernizing the data, much more than modernizing the operations. I'll talk to that as well. And then of course, down the pike, modernizing data services. So if you think about it from modernizing the infrastructure, if you think about Pure for a minute, Pure is the first company that took flash to mainstream, essentially bringing what we call consumer simplicity to enterprise storage. The manual for the products with the front and back of a business card, that's it, you plug it in, boom, it's up and running, and then you get proactive AI driven support, right? So that was kind of the heart of Pure. Now you think about Pure again, what's unique about Pure has been a lot of our competition, has dealt with flash at the SSD level, hey, because guess what? All this software was built for hard drive. And so if I can treat NAND as a solid state drive SSD, then my software would easily work on it. But with Pure, because we started with flash, we released went straight to the NAND level, and as opposed to kind of the SSD layer, and what that does is it gives you greater efficiency, greater reliability and create a performance compared to an SSD, because you can optimize at the chip level as opposed to at the SSD module level. That's one big advantage that Pure has going for itself. And if you look at the physics, in the industry for a minute, there's recent data put out by Wikibon early this year, effectively showing that by the year 2026, flash on a dollar per terabyte basis, just the economics of the semiconductor versus the hard disk is going to be cheaper than hard disk. So this big inflection point is slowly but surely coming that's going to disrupt the hardest industry, already the high end has been taken over by flash, but hybrid is next and then even the long tail is coming up over there. And so to end to that extent our lead, if you may, the introduction of QLC NAND, QLC NAND powerful competition is barely introducing, we've been at it for a while. We just recently this year in my first a 100 days, we introduced the flasher AC, C40 and C60 drives, which really start to open up our ability to go after the hybrid story market in a big way. It opens up a big new market for us. So great work there by the team,. Also at the heart of it. If you think about it in the NAND side, we have our flash array, which is a scale-up latency centric architecture and FlashBlade which is a scale-out throughput architecture, all operating with NAND. And what that does is it allows us to cover both structured data, unstructured data, tier one apps and tier two apps. So pretty broad data coverage in that journey to the all flash data center, slowly but surely we're heading over there to the all flash data center based on demand economics that we just talked about, and we've done a bunch of releases. And then the team has done a bunch of things around introducing and NVME or fabric, the kind of thing that you expect them to do. A lot of recognition in the industry for the team or from the likes of TrustRadius, Gartner, named FlashRay, the Carton Peer Insights, the customer choice award and primary storage in the MQ. We were the leader. So a lot of kudos and recognition coming to the team as a result, Flash Blade just hit a billion dollars in cumulative revenue, kind of a leader by far in kind of the unstructured data, fast file an object marketplace. And then of course, all the work we're doing around what we say, ESG, environmental, social and governance, around reducing carbon footprint, reducing waste, our whole notion of evergreen and non-disruptive upgrades. We also kind of did a lot of work in that where we actually announced that over 2,700 customers have actually done non-disruptive upgrades over the technology. >> Yeah a lot to unpack there. And a lot of this sometimes you people say, oh, it's the plumbing, but the plumbing is actually very important too. 'Cause we're in a major inflection point, when we went from spinning disk to NAND. And it's all about volumes, you're seeing this all over the industry now, you see your old boss, Pat Gelsinger, is dealing with this at Intel. And it's all about consumer volumes in my view anyway, because thanks to Steve Jobs, NAND volumes are enormous and what two hard disk drive makers left in the planet. I don't know, maybe there's two and a half, but so those volumes drive costs down. And so you're on that curve and you can debate as to when it's going to happen, but it's not an if it's a when. Let me, shift gears a little bit. Because Cloud, as I was saying, it's ushered in this API economy, this as a service model, a lot of infrastructure companies have responded. How are you thinking at Pure about the as a service model for your customers? What's the strategy? How is it evolving and how does it differentiate from the competition? >> Absolutely, a great question. It's kind of segues into the second part of the moderate experience, which is how do you modernize the operations? And that's where automation as a service, because ultimately, the Cloud has validated and the address of this model, right? People are looking for outcomes. They care less about how you get there. They just want the outcome. And the as a service model actually delivers these outcomes. And this whole notion of infrastructure as code is kind of the start of it. Imagine if my infrastructure for a developer is just a line of code, in a Git repository in a program that goes through a CICD process and automatically kind of is configured and set up, fits in with the Terraform, the Ansibles, all that different automation frameworks. And so what we've done is we've gone down the path of really building out what I think is modern operations with this ability to have storage as code, disability, in addition modern operations is not just storage scored, but also we've got recently introduced some comprehensive ransomware protection, that's part of modern operations. There's all the threat you hear in the news or ransomware. We introduced what we call safe mode snapshots that allow you to recover in literally seconds. When you have a ransomware attack, we also have in the modern operations Pure one, which is maybe the leader in AI driven support to prevent downtime. We actually call you 80% of the time and fix the problems without you knowing about it. That's what modern operations is all about. And then also Martin operations says, okay, you've got flash on your on-prem side, but even maybe using flash in the public Cloud, how can I have seamless multi-Cloud experience in our Cloud block store we've introduced around Amazon, AWS and Azure allows one to do that. And then finally, for modern applications, if you think about it, this whole notion of infrastructure's code, as a service, software driven storage, the Kubernetes infrastructure enables one to really deliver a great automation framework that enables to reduce the labor required to manage the storage infrastructure and deliver it as code. And we have, kudos to Charlie and the Pure storage team before my time with the acquisition of Portworx, Portworx today is truly delivers true storage as code orchestrated entirely through Kubernetes and in a multi-Cloud hybrid situation. So it can run on EKS, GKE, OpenShift rancher, Tansu, recently announced as the leader by giggle home for enterprise Kubernetes storage. We were really proud about that asset. And then finally, the last piece are Pure as a service. That's also all outcome oriented, SLS. What matters is you sign up for SLS, and then you get those SLS, very different from our competition, right? Our competition tends to be a lot more around financial engineering, hey, you can buy it OPEX versus CapEx. And, but you get the same thing with a lot of professional services, we've really got, I'd say a couple of years and lead on, actually delivering and managing with SRE engineers for the SLA. So a lot of great work there. We recently also introduced Cisco FlashStack, again, flash stack as a service, again, as a service, a validation of that. And then finally, we also recently did a announcement with Aquaponics, with their bare metal as a service where we are a key part of their bare metal as a service offering, again, pushing the kind of the added service strategy. So yes, big for us, that's where the buck is skating, half the enterprises, even on prem, wanting to consume things in the Cloud operating model. And so that's where we're putting it lot. >> I see, so your contention is, it's not just this CapEx to OPEX, that's kind of the, during the economic downturn of 2007, 2008, the economic crisis, that was the big thing for CFOs. So that's kind of yesterday's news. What you're saying is you're creating a Cloud, like operating model, as I was saying upfront, irrespective of physical location. And I see that as your challenge, the industry's challenge, be, if I'm going to effect the digital transformation, I don't want to deal with the Cloud primitives. I want you to hide the underlying complexity of that Cloud. I want to deal with higher level problems, but so that brings me to digital transformation, which is kind of the now initiative, or I even sometimes call it the mandate. There's not a one size fits all for digital transformation, but I'm interested in your thoughts on the must take steps, universal steps that everybody needs to think about in a digital transformation journey. >> Yeah, so ultimately the digital transformation is all about how companies are gain a competitive edge in this new digital world or that the company are, and the competition are changing the game on, right? So you want to make sure that you can rapidly try new things, fail fast, innovate and invest, but speed is of the essence, agility and the Cloud operating model enables that agility. And so what we're also doing is not only are we driving agility in a multicloud kind of data, infrastructure, data operation fashion, but we also taking it a step further. We were also on the journey to deliver modern data services. Imagine on a Pure on-prem infrastructure, along with your different public Clouds that you're working on with the Kubernetes infrastructures, you could, with a few clicks run Kakfa as a service, TensorFlow as a service, Mongo as a service. So me as a technology team can truly become a service provider and not just an on-prem service provider, but a multi-Cloud service provider. Such that these services can be used to analyze the data that you have, not only your data, your partner data, third party public data, and how you can marry those different data sets, analyze it to deliver new insights that ultimately give you a competitive edge in the digital transformation. So you can see data plays a big role there. The data is what generates those insights. Your ability to match that data with partner data, public data, your data, the analysis on it services ready to go, as you get the digital, as you can do the insights. You can really start to separate yourself from your competition and get on the leaderboard a decade from now when this digital transformation settles down. >> All right, so bring us home, Ajay, summarize what does a modern data strategy look like and how does it fit into a digital business or a digital organization? >> So look, at the end of the day, data and analysis, both of them play a big role in the digital transformation. And it really comes down to how do I leverage this data, my data, partner data, public data, to really get that edge. And that links back to a vision. How do we provide that connected and effortless, modern data experience that allows our customers to focus on their business? How do I get the edge in the digital transformation? But easily leveraging, managing and winning with their data. And that's the heart of where Pure is headed. >> Ajay Singh, thanks so much for coming inside theCube and sharing your vision. >> Thank you, Dave, it was a real pleasure. >> And thank you for watching this Cube conversation. This is Dave Vellante and we'll see you next time. (upbeat music)

Published Date : Aug 18 2021

SUMMARY :

in the era of programmable Yeah, great to have you, And the vision, if you the pandemic you came in in kind of the unstructured data, And a lot of this sometimes and the address of this model, right? of 2007, 2008, the economic crisis, the data that you have, And that's the heart of and sharing your vision. was a real pleasure. And thank you for watching

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Bruno Aziza, Google | CUBEconversation


 

(gentle music) >> Welcome to the new abnormal. Yes, you know, the pandemic, it did accelerate the shift to digital, but it's also created disorder in our world. I mean, every day it seems that companies are resetting their office reopening playbooks. They're rethinking policies on large gatherings and vaccination mandates. There's an acute labor shortage in many industries, and we're seeing an inventory glutton in certain goods, like bleach and hand sanitizer. Airline schedules and pricing algorithms, they're all unsettled. Is inflation transitory? Is that a real threat to the economy? GDP forecasts are seesawing. In short, the world is out of whack and the need for fast access to quality, trusted and governed data has never been greater. Can coherent data strategies help solve these problems, or will we have to wait for the world to reach some type of natural equilibrium? And how are companies, like Google, helping customers solve these problems in critical industries, like financial services, retail, manufacturing, and other sectors? And with me to share his perspectives on data is a long-time CUBE alum, Bruno Aziza. He's the head of data analytics at Google. Bruno, my friend, great to see you again, welcome. >> Great to see you, thanks for having me, Dave. >> So you heard my little narrative upfront, how do you see this crazy world of data today? >> I think you're right. I think there's a lot going on in the world of data analytics today. I mean, certainly over the last 30 years, we've all tried to just make the life of people better and give them access more readily to the information that they need. But certainly over the last year and half, two years, we've seen an amazing acceleration in digital transformation. And what I think we're seeing is that even after three decades of investment in the data analytics world, you know, the opportunity is still really out wide and is still available for organizations to get value out of their data. I was looking at some of the latest research in the market, and, you know, only 32% of companies are actually able to say that they get tangible, valuable insights out of their data. So after all these years, we still have a lot of opportunity ahead of us, of course, with the democratization of access to data, but also the advent in machine learning and AI, so that people can make better decisions faster than their competitors. >> So do you think that the pandemic has heightened that sort of awareness as they were sort of forced to pivot to digital, that they're maybe not getting enough out of their data strategies? That maybe their whatever, their organization, their technology, their way they were thinking about data was not adequate and didn't allow them to be agile enough? Why do you think that only 32% are getting that type of value? >> I think it's true. I think, one, digital transformation has been accelerated over the last two years. I think, you know, if you look at research the last two years, I've seen almost a decade of digital acceleration, you know, happening. But I also think that we're hitting a particular time where employees are expecting more from their employers in terms of the type of insights that can get. Consumers are now evolving, right? So they want more information. And I think now technology has evolved to a point where it's a lot easier to provision a data cloud environment so you can get more data out to your constituents. So I think the connection of these three things, expectation of employees, expectation of customers to better customer experiences, and, of course, the global environment, has accelerated quite a bit, you know, where the space can go. And for people like me, you know, 20 years ago, nobody really cared about databases and so forth. And now I feel like, you know, everybody's, you know, understands the value that we can get out of it. And we're kind of getting, you know, in the sexy territory, finally, data now is sexy for everyone and there's a lot of interest in the space. >> You and I met, of course, in the early days of Hadoop. And there were many things about Hadoop that were profound and, of course, many things that, you know, just were overly complex, et cetera. And one of the things we saw was this sort of decentralization. We thought that Hadoop was going to send five megabytes of code to petabytes of data. And what happened is everything, you know, came into this centralized repository and that centralized thinking, the data pipeline organization was very centralized. Are you seeing companies rethink that? I mean, has the cloud changed their thinking? You know, especially as the cloud expands to the edge, on-prem, everywhere. How are you seeing organizations rethink their regimes for data? >> Yeah, I think, you know, we've seen over the last three decades kind of the pendulum, right, from really centralizing everything and making the IT organization kind of the center of excellence for data analytics, all the way to now, you know, providing data as a self-service, you know, application for end-users. And I think what we're seeing now is there's a few forces happening. The first one is, of course, multicloud, right? So the world today is clearly multicloud and it's going to be multicloud for many, many years. So I think not only are now people considering their on-prem information, but they're also looking at data across multiple clouds. And so I think that is a huge force for chief data officers to consider is that, you know, you're not going to have data centralized in one place, nicely organized, because sometimes it's going to be a factor of where you want to be as an organization. Maybe you're going to be partnering with other organizations that have data in other clouds. And so you want to have an architecture that is modern and that accommodates this idea of an open cloud. The second problem that we see is this idea around data governance, intelligent data governance, right? So the world of managing data is becoming more complex because, of course, you're now dealing with many different speeds, you're dealing with many different types of data. And so you want to be able to empower people to get access to the information, without necessarily having to move this data, so they can make quick decisions on the data. So this idea of a data fabric is becoming really important. And then the third trend that we see, of course, is this idea around data sharing, right? People are now looking to use their own data to create a data economy around their business. And so the ability to augment their existing data with external data and create data products around it is becoming more and more important to the chief data officers. So it's really interesting we're seeing a switch from, you know, this chief data officer really only worried about governance, to this we're now worried about innovation, while making sure that security and governance is taken care of. You know, we call this freedom within the framework, which is a great challenge, but a great opportunity for many of these data leaders. >> You mentioned several things there. Self-service, multicloud, the governance key, especially if we can federate that governance in a decentralized world. Data fabric is interesting. I was talking to Zhamak Dehghani this weekend on email. She coined the term data mesh. And there seems to be some confusion, data mesh, data fabric. I think Gartner's using the term fabric. I know like NetApp, I think coined that term, which to me is like an infrastructure layer, you know. But what do you mean by data fabric? >> Well, the first thing that I would say is that it's not up to the vendors to define what it is. It really is up to the customer. The problem that we're seeing these customers trying to fix is you have a diversity of data, right? So you have data stored in the data mart, in a data lake, in a data warehouse, and they all have their specific, you know, reasons for being there. And so this idea of a data fabric is that without moving the data, can you, one, govern it intelligently? And, two, can you provide landing zones for people to actually do their work without having to go through the pain of setting up new infrastructure, or moving information left and right, and creating new applications? So it's this idea of basically taking advantage of your existing environment, but also governing it centrally, and also now providing self-service capabilities so people can do their job easily. So, you know, you might call it a data mesh, you might call it a data fabric. You know, the terminology to me, you know, doesn't seem to be the barrier. The issue today is how do we enable, you know, this freedom for customers? Because, you know, I think what we've seen with vendors out there is they're trying to just take the customer down to their paradigms. So if they believe in all the answers need to be in a data warehouse, they're going to guide the customer there. If they believe that, you know, everything needs to be in a data lake, they're going to guide the customer there. What we believe in is this idea of choice. You should be able to do every single use case. And we should be able to enable you to manage it intelligently, both from an access standpoint, as well as a governance standpoint. >> So when you think about those different, and I like that, you're making it somewhat technology agnostic, so whether it's a data warehouse, or a data lake, or a data hub, a data mart, those are nodes within the mesh or the fabric, right? That are discoverable, accessible, I guess, governed. I think that there's got to be some kind of centralized governance edict, but in a federated governance model so you don't have to move the data around. Is that how you're thinking about it? >> Absolutely, you know, in our recent event, in the Data Cloud Summit, we had Equifax. So the gentleman there was the VP of data governance and data fabric. So you can start seeing now these roles, you know, created around this problem. And really when you listen to what they're trying to do, they're trying to provide as much value as they can without changing the habits of their users. I think that's what's key here, is that the minute you start changing habits, force people into paradigms that maybe, you know, are useful for you as a vendor, but not so useful to the customer, you get into the danger zone. So the idea here is how can you provide a broad enough platform, a platform that is deep enough, so the data can be intelligently managed and also distributed and activated at the point of interaction for the end-user, so they can do their job a lot easier? And that's really what we're about, is how do you make data simpler? How do you make, you know, the process of getting to insight a lot more fluid without changing habits necessarily, both on the IT side and the business side? >> I want to get to specifics on what Google is doing, but the last sort of uber-trends I want to ask you about 'cause, again, we've known each other for a long time. We've seen this data world grow up. And you're right, 20, 30 years ago, nobody cared about database. Well, maybe 30 years ago. But 20 years ago, it was a boring market, right now it's like the hottest thing going. But we saw, you know, bromide like data is the new oil. Well, we found out, well, actually data is more valuable than oil 'cause you can use, you know, data in a lot of different places, oil you can use once. And then the term like data as an asset, and you said data sharing. And it brings up the notion that, you know, you don't want to share your assets, but you do want to share your data as long as it can be governed. So we're starting to change the language that we use to describe data and our thinking is changing. And so it says to me that the next 10 years, aren't going to be like the last 10 years. What are your thoughts on that? >> I think you're absolutely right. I think if you look at how companies are maturing their use of data, obviously the first barrier is, "How do I, as a company, make sure that I take advantage of my data as an asset? How do I turn, you know, all this information into a sustainable, competitive advantage, really top of mind for organizations?" The second piece around it is, "How do I create now this innovation flywheel so that I can create value for my customers, and my employees, and my partners?" And then, finally, "How do I use data as the center of a product that I can then further monetize and create further value into my ecosystem?" I think the piece that's been happening that people have not talked a lot about I think, with the cloud, what's come is it's given us the opportunity to think about data as an ecosystem. Now you and I are partnering on insights. You and I are creating assets that might be the combination of your data and my data. Maybe it's an intelligent application on top of that data that now has become an intelligent, rich experience, if you will, that we can either both monetize or that we can drive value from. And so I think, you know, it's just scratching the surface on that. But I think that's where the next 10 years, to your point, are going to be, is that the companies that win with data are going to create products, intelligent products, out of that data. And they're just going to take us to places that, you know, we are not even thinking about right now. >> Yeah, and I think you're right on. That is going to be one of the big differences in the coming years is data as product. And that brings up sort of the line of business, right? I mean the lines of business heads historically have been kind of removed from the data group, that's why I was asking you about the organization before. But let's get into Google. How do you describe Google's strategy, its approach, and why it's unique? >> You know, I think one of the reasons, so I just, you know, started about a year ago, and one of the reasons for why I found, you know, the Google mission interesting, is that it's really rooted at who we are and what we do. If you think about it, we make data simple. That's really what we're about. And we live that value. If you go to google.com today, what's happening? Right, as an end-user, you don't need any training. You're going to type in whatever it is that you're looking for, and then we're going to return to you highly personalized, highly actionable insights to you as a consumer of insights, if you will. And I think that's where the market is going to. Now, you know, making data simple doesn't mean that you have to have simple infrastructure. In fact, you need to be able to handle sophistication at scale. And so simply our differentiation here is how do we go from highly sophisticated world of the internet, disconnected data, changing all the time, vast volume, and a lot of different types of data, to a simple answer that's actionable to the end-user? It's intelligence. And so our differentiation is around that. Our mission is to make data simple and we use intelligence to take the sophistication and provide to you an answer that's highly actionable, highly relevant, highly personalized for you, so you can go on and do your job, 'cause ultimately the majority of people are not in the data business. And so they need to get the information just like you said, as a business user, that's relevant, actionable, timely, so they can go off and, you know, create value for their organization. >> So I don't think anybody would argue that Google, obviously, are data experts, arguably the best in the world. But it's interesting, some of the uniqueness here that I'm hearing in your language. You used the word multicloud, Amazon doesn't, you know, use that term. So that's a differentiation. And you sell a cloud, right? You sell cloud services, but you're talking about multicloud. You sell databases, but, of course, you host other databases, like Snowflake. So where do you fit in all this? Do you see your role, as the head of data analytics, is to sort of be the chef that helps combine all these different capabilities? Or are you sort of trying to help people adopt Google products and services? How should we think about that? >> Yeah, the best way to think about, you know, I spend 60 to 70% of my time with customers. And the best way I can think about our role is to be your innovation partner as an organization. And, you know, whichever is the scenario that you're going to be using, I think you talked about open cloud, I think another uniqueness of Google is that we have a very partner friendly, you know, approach to the business. Because we realized that when you walk into an enterprise or a digital native, and so forth, they already have a lot of assets that they have accumulated over the years. And it might be technology assets, but also might be knowledge, and know-how, right? So we want to be able to be the innovation vendor that enables you to take these assets, put them together, and create simplicity towards the data. You know, ultimately, you can have all types of complexity in the backend. But what we can do the best for you is make that really simple, really integrated, really unified, so you, as a business user, you don't have to worry about, "Where is my data? Do I need to think about moving data from here to there? Are there things that I can do only if the data is formatted that way and this way?" We want to remove all that complexity, just like we do it on google.com, so you can do your job. And so that's our job, and that's the reason for why people come to us, is because they see that we can be their best innovation partner, regardless where the data is and regardless, you know, what part of the stack they're using. >> Well, I want to take an example, because my example, I mean, I don't know Google's portfolio like you do, obviously, but one of the things I hear from customers is, "We're trying to inject as much machine intelligence into our data as possible. We see opportunities to automate." So I look at something like BigQuery, which has a strong affinity in embedded machine learning and machine intelligence, as an example, maybe of that simplification. But maybe you could pick up on that and give us some other concrete examples. >> Yeah, specifically on products, I mean, there are a lot products we can talk about, and certainly BigQuery has tremendous market momentum. You know, and it's really anchored on this idea that, you know, the idea behind BigQuery is that just add data and we'll do the rest, right? So that's kind of the idea where you can start small and you can scale at incredible, you know, volumes without really having to think about tuning it, about creating indexes, and so forth. Also, we think about BigQuery as the place that people start in order to build their ecosystem. That's why we've invested a lot in machine learning. Just a few years ago, we introduced this functionality called BigQuery Machine Learning, or BigQuery ML, if you're familiar with it. And you notice out of the top 100 customers we have, 80% of these customers are using machine learning right out of, you know, BigQuery. So now why is that? Why is it that it's so easy to use machine learning using BigQuery is because it's built in. It was built from the ground up. Instead of thinking about machine learning as an afterthought, or maybe something that only data scientists have access to that you're going to license just for narrow scenarios, we think about you have your data in a warehouse that can scale, that is equally awesome at small volume as very large volume, and we build on top of that. You know, similarly, we just announced our analytics exchange, which is basically the place where you can now build these data analytics assets that we discussed, so you can now build an ecosystem that creates value for end-users. And so BigQuery is really at the center of a lot of that strategy, but it's not unlike any of the other products that we have. We want to make it simple for people to onboard, simple to scale, to really accomplish, you know, whatever success is ahead of them. >> Well, I think ecosystems is another one of those big differences in the coming decade, because you're able to build ecosystems around data, especially if you can share that data, you know, and do so in a governed and secure way. But it leads to my question on industries, and I'm wondering if you see any patterns emerging in industries? And each industry seems to have its own unique disruption scenario. You know, retail obviously has been, you know, disrupted with online commerce. And healthcare with, of course, the pandemic. Financial services, you wonder, "Okay, are traditional banks going to lose control of payment systems?" Manufacturing you see our reliance on China's supply chain in, of course, North America. Are you seeing any patterns in industry as it pertains to data? And what can you share with us in terms of insights there? >> Yeah, we are. And, I mean, you know, there's obviously the industries that are, you know, very data savvy or data hungry. You think about, you know, the telecommunication industry, you think about manufacturing, you think about financial services and retail. I mean, financial services and retailers are particularly interesting, because they're kind of both in the retail business and having to deal with this level of complexity of they have physical locations and they also have a relationship with people online, so they really want to be able to bring these two worlds together. You know, I think, you know, about those scenarios of Carrefour, for instance. It's a large retailer in Europe that has been able to not only to, you know, onboard on our platform and they're using, you know, everything from BigQuery, all the way to Looker, but also now create the data assets that enable them to differentiate within their own industry. And so we see a lot of that happening across pretty much all industries. It's difficult to think about an industry that is not really taking a hard look at their data strategy recently, especially over the last two years, and really thought about how they're creating innovation. We have actually created what we call design patterns, which are basically blueprints for organization to take on. It's free, it's free guidance, it's free datasets and code that can accelerate their building of these innovative solutions. So think about the, you know, ability to determine propensity to purchase. Or build, you know, a big trend is recommendation systems. Another one is anomaly detection, and this was great because anomaly detection is a scenario that works in telco, but also in financial services. So we certainly are seeing now companies moving up in their level of maturity, because we're making it easier and simpler for them to assemble these technologies and create, you know, what we call data-rich experiences. >> The last question is how you see the emerging edge, IoT, analytics in that space? You know, a lot of the machine learning or AI today is modeling in the cloud, as you well know. But when you think about a lot of the consumer applications, whether it's voice recognition or, you know, or fingerprinting, et cetera, you're seeing some really interesting use cases that could bleed into the enterprise. And we think about AI inferencing at the edge as really driving a lot of value. How do you see that playing out and what's Google's role there? >> So there's a lot going on in that space. I'll give you just a simple example. Maybe something that's easy for the community to understand is there's still ways that we define certain metrics that are not taking into account what actually is happening in reality. I was just talking to a company whose job is to deliver meals to people. And what they have realized is that in order for them to predict exactly the time it's going to take them from the kitchen to your desk, they have to take into account the fact that distance sometimes it's not just horizontal, it's also vertical. So if you're distributing and you're delivering meals, you know, in Singapore, for instance, high density, you have to understand maybe the data coming from the elevators. So you can determine, "Oh, if you're on the 20th floor, now my distance to you, and my ability to forecast exactly when you're going to get that meal, is going to be different than if you are on the fifth floor. And, particularly, if you're ordering at 11:32, versus if you're ordering at 11:58." And so what's happening here is that as people are developing these intelligent systems, they're now starting to input a lot of information that historically we might not have thought about, but that actually is very relevant to the end-user. And so, you know, how do you do that? Again, and you have to have a platform that enables you to have a large diversity of use cases, and that thinks ahead, if you will, of the problems you might run into. Lots and lots of innovation in this space. I mean, we work with, you know, companies like Ford to, you know, reinvent the connected, you know, cars. We work with companies like Vodafone, 700 use cases, to think about how they're going to deal with what they call their data ocean. You know, I thought you would like this term, because we've gone from data lakes to data oceans. And so there is certainly a ton of innovation and certainly, you know, the chief data officers that I have the opportunity to work with are really not short of ideas. I think what's been happening up until now, they haven't had this kind of single, unified, simple experience that they can use in order to onboard quickly and then enable their people to build great, rich-data applications. >> Yeah, we certainly had fun with that over the years, data lake or data ocean. And thank you for remembering that, Bruno. Always a pleasure seeing you. Thanks so much for your time and sharing your perspectives, and informing us about what Google's up to. Can't wait to have you back. >> Thanks for having me, Dave. >> All right, and thank you for watching, everybody. This is Dave Vellante. Appreciate you watching this CUBE Conversation, and we'll see you next time. (gentle music)

Published Date : Aug 9 2021

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to see you again, welcome. Great to see you, you know, the opportunity And for people like me, you know, you know, came into this all the way to now, you know, But what do you mean by data fabric? You know, the terminology to me, you know, so you don't have to move the data around. is that the minute you But we saw, you know, bromide And so I think, you know, that's why I was asking you and provide to you an answer Amazon doesn't, you know, use that term. and regardless, you know, But maybe you could pick up on that we think about you have your data has been, you know, So think about the, you know, recognition or, you know, of the problems you might run into. And thank you for remembering that, Bruno. and we'll see you next time.

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Unpacking IBM's Summer 2021 Announcement | CUBEconversation


 

(upbeat music) >> There are many constants in the storage business, relentlessly declining costs per bit. Innovations that perpetually battle the laws of physics, a seemingly endless flow of venture capital, very intense competition. And there's one other constant in the storage industry, Eric Herzog. And he joins us today in this CUBE video exclusive to talk about IBM's recent storage announcements. Eric, welcome back to theCUBE. Great to see you, my friend. >> Great Dave, thank you very much. Of course, IBM always loves to participate with theCUBE and everything you guys do. Thank you very much for inviting us to come today. >> Really our pleasure. So we're going to cover a lot of ground. IBM Storage made a number of announcements this month around data resilience. You've got a new as a service model. You've got performance enhancements. Eric, can you give us, give us the top line summary of the hard news? >> Yeah. Top line. IBM is enhancing data and cyber resiliency across all non mainframe platforms. We already have it on the mainframe of course, and we're changing CapEx to OpEx with our storage as a service. Those are the key takeaways and the hot ticket items from an end user perspective. >> So maybe we could start with sort of the cyber piece. I mean, wow. I mean the last 18 months have been incredible and you're just seeing, you know, new levels of threats. The work from home pivot has created greater exposure. Organizations are kind of rethinking hybrid. You're seeing the ascendancy of some of the sort of hot cyber startups, but, but you're also seeing the, not only of the attack vectors winded, but the, the techniques are different. You know, threat hunting has become much more important. Your responses to threats. You have to be really careful the whole ransomware thing. So what are some of the big trends that you guys are seeing that are kind of informing how you approach the market? >> Well, first of all, it's gotten a lot worse. In fact, Fortune magazine just released the Fortune 500 a couple of weeks ago, and they had a survey that's public of CEOs, and they said, "What's the number one threat to your business? With no list just what's the number one threat?" Cyber security was number one 66% of the Fortune 500 Chief Executive Officers. Not CIOs not CTOs, but literally the CEOs of the biggest companies in the world. However, it's not just big companies. It hits the mid size, the small companies, everyone is open now to cyber threats and cyber attacks. >> Yeah. So for sure. And it's (chuckles) across the board. Let's talk about your solution, the announcement that you made here. Safeguard Copy, I think is what the branding is. >> Yeah. So what we've done is we've got a number of different technologies within our storage portfolio. For example, with our Spectrum Protect product, we can see anomalous pattern detection and backup data sets. Why would that matter? If I am going to hold theCUBE for ransom, if I don't get control of your secondary storage, snaps, replicas, and backups, you can just essentially say, I'm not paying you. You could just do a recovery, right? So we have anomalous protection there. We see encryption, we encrypt at rest with no performance penalty with our FlashSystem's family. We do air gapping. And in case of safeguarded copy, it's a form of air gapping. So we see physical air gapping with tape. logical air gapping, but to a remote location with snaps or replicas to your Cloud provider, and then local logical on-prem, which is what safeguarded copy does. We've had this technology for many years now on the mainframe platform. And we brought it down to the non mainframe environments, Linux, UNIX, and the Windows Server world by putting safeguarded copy on our FlashSystem's portfolio. >> So, okay. So part of the strategy is air gapping. So you're taking a copy, your air gapping it. You probably, you probably take those snaps, you know, at different intervals, you mix that up, et cetera. How do you manage the copies? How do you ensure if I have to do a recovery that you've got kind of a consistent data set? >> Yeah. So a couple things, first of all, we can create on a single FlashSystem array the full array up to 15,000 immutable copies, essentially they're weren't, you can't delete them, you can't change them. On a per volume basis, you can have 255. This is all managed with our storage copy manager, which can automate the entire process. Creation, deletion, frequency, and even recovery mode. So for example, I could have volume one and volume one perhaps I need to make immutable copies every four hours, while at 255 divided by four a day, I can go for many months and still be making those immutable copies. But with our Copy Services Manager, you can set up to be only 30 days, 60 days, you can set the frequency and once you set it up, it's all automated. And you can even integrate with IBM's QRadar, which is a threat detection and breach software from the security division of IBM. And when certain threats hit, it can actually automatically kick off a safeguarded copy. So what we do is make sure you've got that incredibly rapid recovery. And in fact, you can get air gapping, remotely. We have this on the main frame and a number of large global Fortune 500's actually do double air gapping, local logical, right? So they can do recovery in just a couple hours if they have an attack. And then they take that local logical and either go remote logical. Okay. Which gives them a second level of protection, or they'll go out to tape. So you can use this in a myriad of ways. You can have multiple protection. We even, by the way Dave, have three separate different admin levels. So you can have three different types of admins. One admin can't delete, one admin can. So that way you're also safe from what I'll call industrial espionage. So you can never know if someone's going to be stealing stuff from inside with multiple administrative capabilities, it makes it more difficult for someone to steal your data and then sell it to somebody. >> So, okay. Yeah, right. Because immutable is sort of, well, you're saying that you can set it up so that only one admin has control over that, is that right? If you want it... >> There's three, there's three admins with different levels of control. >> Right. >> And the whole point of having a three admins with different levels of control, is you have that extra security from an internal IT perspective versus one person, again, think of the old war movies, you know, nuclear war movies. Thank God it's never happened. Where two guys turn the key. So you've got some protection, we've got multiple admin level to do that as well. So it's a great solution with the air gapping. It's rapid recovery because it's local, but it is fully logically air gapped separated from the host. It's immutable, it's WORM, Write Once, Read Many can't delete can't change. Can't do anything. And you can automate all the management with our Copy Services Manager software that will work with safeguard copy. >> You, you talked about earlier, you could detect anomalous behavior. So, so presumably this can help with, with detecting threats, is that? >> Well, that's what our spectrum protect product does. My key point was we have all levels of data resiliency across the whole portfolio, whether it be encrypting data at rest, with our VTLs, we can encrypt in-flight. We have safeguarded copy on the mainframe, safeguarded copy on FlashSystems, any type of storage, including our competitor storage. You could air gap it to tape, right? With our spectrum virtualized software in our SAN Volume Controller, you could actually air gap out to a Cloud for 500 arrays that aren't even ours. So what we've done is put in a huge set of data and cyber resiliency across the portfolio. One thing that I've noticed, Dave, that's really strange. Storage is intrinsic to every data center, whether you're big, medium, or small. And when most people think about a cybersecurity strategy from a corporate perspective, they usually don't even think about storage. I've been shocked, but I've been in meetings with CEOs and VPs and they said, "oh, you're right, storage is, is a risk." I don't know why they don't think of it. And clearly many of the security channel partners, right? You have channel that are very focused on security and security consultants, they often don't think about the storage gaps. So we're trying to make sure, A, we've got broad coverage, primary storage, secondary storage, backup, you know, all kinds of things that we can do. And we make sure that we're talking to the end users, as well as the channel to realize that if you don't have data resilience storage, you do not have a corporate cybersecurity strategy because you just left out the storage part. >> Right on. Eric, are you seeing any use case patterns emerge in the customer base? >> Well, the main use case is prioritizing workloads. Obviously, as you do the immutable copies, you chew up capacity. Right now there's a good reason to do that. So you've got these immutable copies, but what they're doing is prioritizing workloads. What are the workloads? I absolutely have to have up and going rapidly. What are other workloads that are super important, but I could do maybe remote logical air gapping? What ones can I put out to tape? Where I have a logical, where I have a true physical air gap. But of course tape can take a long recovery time. So they're prioritizing their applications, workloads and use case to figure out what they need to have a safeguarded copy with what they could do. And by the way, they're trying to do that as well. You know, with our FlashSystem products, we could encrypt data at rest with no performance penalty. So if you were getting, you know, 30,000 database records and they were taken, you know, 10 seconds for sake of argument, when you encrypt, normally you slow that down. Well, guess what, when you encrypt with our FlashSystem product. So in fact, you know, it's interesting Dave, we have a comprehensive and free cyber resiliency assessment, no charge to the end-user, no charge to a business partner if they want to engage with us. And we will look at based on the NIST framework, any gaps. So for example, if theCUBE said, these five databases are most critical databases, then part of our cyber resilience assess and say, "ah, well, we noticed that you're not encrypting those. Why are you not encrypting those?" And by the way, that cyber resilience assessment works not only for IBM storage, but any storage estate they've got. So if they're homogenous, we can evaluate that if they're heterogeneous in their storage estate would evaluate that, and it is vendor agnostic and conforms to the NIST framework, which of course is adopted all over the world. And it's a great thing for people to get free, no obligation. You don't have to buy a single thing from IBM. It's just a free assessment of their storage and what cyber security exposure they have in their storage estate. And that's a free thing that we offer that includes safeguarded copy, encryption, air gapping, all the various functionality. And we'll say, "why are you not encrypting? Why are you not air gapping?" That if it's that important, "what, why are you leaving these things exposed?" So that's what our free cyber resilience assessment does. >> Got to love those freebies take advantage of those for sure. A lot of, a lot of organizations will charge big bucks for those. You know, maybe not ridiculously huge bucks, but you're talking tens of thousands. Sometimes you'll get up to hundreds of thousands of dollars for that type of type of assessment. So that's, you've got to take advantage of that if you're a customer out there. You know, I, I wanted to ask you about just kind of shift topics here and get into the, as a service piece of it. So you guys announced your, your as a service for storage, a lot of people have also done that. What do we need to know about the IBM Solution? And what's different from the others, maybe two part question, but what's the first part. What do we need to know? >> A couple of thing is, from an overall strategy perspective, you don't buy storage. It's a full OpEx model. IBM retains legal title. We own it. We'll do the software upgrades as needed. We may even go ahead and swap the physical system out. You buy an SLA, a tier if you will. You buy capacity, performance, we own it. So let's take an easy one. Our tier two, we give you our worst case performance at 2,250 IOPS per terabyte. Our competitors by the way, when you look at their contracts and look what they're putting out there, they will give you their best case number. So if they're two is 2,250, that's the best case. With us it's our worst case, which means if your applications or workloads get 4,000 IOPS per terabyte, it's free. We don't charge you for that. We give you the worst case scenario and our numbers are higher than our competition. So we make sure that we're differentiated true OpEx model. It's not a modified Lease model. So it's truly converts CapEx into operational expense. We have a base as everybody does, but we have a variable. And guess what? There's the base price and the variable price are the same. So if you don't use the variable, we don't charge you. We bill you for 1/4 in arrears, every feature function that's on our FlashSystem technology such as safeguarded copy, which we just talked about. AI based tiering, data at rest encryption with no performance penalty, data in compression with no performance, all those features you get, all of them, all we're doing is giving you an option. We still let you buy CapEx. We will let you lease with IBM Global Financial Services. And guess what? You could do a full OpEx model. The technology though, our flash core modules, our spectrum virtualized software is all the same. So it's all the same feature function. It's not some sort of stripped down model. We even offer Dave, 100% availability option. We give Six Nines of availability as a default, several of the competitor, which is only five minutes and 26 seconds of downtime, several of our competitors, guess what they give? Fournines. If you want five or six, you got to pay for it. We just give you six as a default differentiator, but then we're the only vendor to offer 100% availability guarantee. Now that is an option. It's the one option. But since we're already at Six Nines, when our competitors are at Four or Five Nines, we already have better availability with our storage as a service than the competition does. >> So let me just make this, make sure I'm clear on this. So you got Six Nines as part of the service. That's >> Absolutely >> Fundamental. And I get, I can pay up for 100% availability option. And, >> Yes you can. >> So what does that, what does that mean? Practically? You're putting in redundancies and, >> Right, right. So we have a technology known as HyperSwap. We have several public references by the way, at ibm.com. We've been shipping HyperSwap on both the mainframe, probably eight or nine years now. We brought it to our FlashSystem product probably five years ago. As I mentioned, we've got public references. You don't pay for the software by the way, you do have to have a dual node cluster. And HyperSwap allows you to do that. But you can do that as a service. You can buy it. You can do as CapEx, right? When you need the additional FlashSystem to go with it again, the software is free. So you're not to pay for the software. You just have to pay for the additional system level componentry, but you can do that as a service and have it completely be an OpEx model as well. We even assign a technical account manager to every account. Every account gets a technical account manager. If you will, concierge service comes with every OpEx version of our storage as a service. >> So what does that mean? What does that concierge do? Just paying attention to (indistinct) >> Concierge service will do a quarterly, a quarterly review with you. So let's say theCUBE bought 10,000 other analyst firms in the industry. You're now the behemoth. And you at theCUBE are using IBM storage as a service. You call up your technical account manager to say, "Guess what? We just bought these companies. We're going to convert them all to storage as a service, A, we need a higher tier, you could upgrade the tier B, we have a one-year contract, but you know what we'd like to extend it to two, C, we think we need more capacity." You tell your technical account manager, they'll take care of all of that for you, as well as giving you best practices. For example, if you decide you want to do safeguarded copy, which you can do, because it's built into our spectrum virtualized software, which is part of our storage as a service, we can give you best practices on that he would tell you, or she would tell you about our integration with our security visions, QRadar. So those are various best practices. So the technical account manager makes sure the software is always up to date, right? All the little things that you would have to do yourself if you own it, we take care of, because we legally own it, which is allow you to buy it as a service. So it is a true OpEx model from a financial perspective. >> In the term of the contracts are what? One, two and three years. >> One to five. >> Yeah. Okay. >> If you don't renew and you don't cancel, we'll automatically re up you at the exact tier you're at, at the exact same price. Several of our competitors, by the way, if you do that, they actually charge you a premium until you sign a contract. We do not. So if you have a contract based on tier two, right? We go buy SLA tier one, tier two, tier three. So if I have a tier two contract at theCUBE, and you forgot to get the contract done at the end of two years, but you still want it, you can go for the next 2/4. I mean, well our business partner as I should say, "Dave, don't you want to sign a contract, you said you like it." Obviously you would, but we will let you stay. You just say, now I want to keep it without a contract. And we don't charge your premium. Our competitors if you don't have a contract, they charge your premium. If you keep it installed without putting a contract in place. So little things like that clearly differentiate what we do. We don't charge a premium. If you go above the base. One of the competitors, in fact, when you go into the variable space, okay? And by the way, we provide 50% extra capacity. We over-provision. The other competitors usually do 25%. We do 50%. No charge, is just part of the service. So the other vendors, if you go into the variable space, they raised the price. So if it's $5, you know, for X capacity and you go into the, which is your base, and then you go above that, they charge you $7 and 50 cents. We don't. It's $5 at the base and $5 at the variable. Now obviously your variable can be very big or very small, but whatever the variable is, we charge you. But we do not charge you an a bigger price. Couple of competitors when you go into the variable world, they charge you more. Guess what it gets you to do, raise your base capacity. (Eric laughs) >> Yeah. I mean, that's, that should, the math should be the opposite of that, in my view. If you make a commitment to a vendor, say, okay, I'm going to commit to X. You have a nice chart on this, actually in your, in your deck. If I'm going to commit to X, and then I'm going to add on, I would think the add on price per bit should be at the same or lower. It shouldn't be higher. Right? And I get, I get what you're saying there. They're forcing you to jack up the base, but then you're taking all the risk. That's not a shared risk model. I get... >> And that's why we made sure that we don't do that. In fact, Dave, you can, you know, the fact that we don't charge you a premium if you go beyond your contract period and say, "I still wanted to do it, but I haven't done the contract yet." The other guys charge you a premium, if you go beyond your contract period. We don't do that either. So we try to be end-user friendly, customer friendly, and we've also factored in our business partners can participate in this program. At least one of our competitors came out with a program and guess what? Partners could not participate. It was all direct. And that company by happens to have about 80% of their business through the channel and their partners were basically cut out of the model, which by the way, is what a lot of Cloud providers had done in the past as well. So it was not a channel friendly model, we're channel friendly, we're end user-friendly, it's all about ease of use. In fact, when you need more capacity, it takes about 10 minutes to get the new capacity up and going, that's it? >> How long does it take to set up? How long does it take to set up initially? And how long does it take to get new capacity? >> So, first of all, we deploy either in a Colo facility that you've contracted with, including Equinix, Equinix, is part of our press release, or we install on your site. So the technical account managers is assigned, he would call up theCUBE and say, "When is it okay for us to come install the storage?" We install it. You don't install anything. You just say, here's your space. Go ahead and install. We do the installation. You then of course do the normal rationing of the capacity to this goes to this Oracle, this goes to SAP. This goes to Mongo or Cassandra, right? You do that part, but we install it. We get it up and going. We get it turned on. We hook it up to your switching infrastructure. If you've got switching infrastructure, we do all of that. And then when you need more capacity, we use our storage insights pro which automatically monitors capacity, performance, and potential tech support problems. So we give you 50% extra, right? If you drop that to 25%, so you now don't have 50% extra anymore, you only have 25% extra, we'll, the technical account manager would call you and say, "Dave, do you know that we'd like to come install extra capacity at no charge to get you back up to that 50% margin?" So we always call because it's on your site or in your Colo facility, right? We own the asset, but we set it up and you know, it takes a week or two, whatever it takes to ship to whatever location. Now by the way, our storage as a service for 2021 will be in North America and Europe only, we are really expanding our storage as a service outside into Asia and into Latin America, et cetera, but not until 2022. So we'll start out with North America and Europe first. >> So I presume part of that is figuring out just the compensation models right? And so how, how did you solve that? I mean, you can't, you know, you don't seem to be struggling with that. Like some do. I think there's some people dipping their toes in the water. Was that because, you know, IBM's got experience with like SAS pricing or how were you thinking about that and how did you deal with kind of the internal (indistinct) >> Sure. So, first of all, we've had for several years, our storage utility model. >> Right? >> Our storage utility model has been sort of a hybrid part CapEx and part OpEx. So first of all, we were already halfway there to an OpEx model with our storage utility model that's item, number one. It also gave us the experience of the billing. So for example, we bill you for a full quarter. We don't send you a monthly bill. We send you a quarterly bill. And guess what, we always bill you in arrears. So for example, since theCUBE is going to be a customer this quarter, we will send you a bill for this quarter in October for the October quarter, we'll send you a bill for that quarter in January. Okay. And if it goes up, it goes up. If it goes down, it goes down. And if you don't use any variable, there's no bill. Because what we do is the base you pay for once a year, the variable you pay for by on a quarterly basis. So if you, if you are within the base, we don't send you a bill at all because there's no bill. You didn't go into the variable capacity area at all. >> I love that. >> When you have a variable It can go up and down. >> Is that unique to some, do some competitors try to charge you up front? Like if it's a one-year term. (Dave laughs) >> Everbody charges, everybody builds yearly on the base capacity. Pretty much everyone does that. >> Okay, so upfront you pay for the base? Okay. >> Right. And the variable can be zero. If you really only use the base, then there is no variable. We only bill for it's a pay for what you use model. So if you don't use any of the variable, we never charge you for variable. Now, you know, because you guys have written about it, storage grows exponentially. So the odds of them ending up needing some of the variable is moderately high. The other thing we've done is we didn't just look at what we've done with our storage utility model, but we actually looked at Cloud providers. And in fact, not only IBM storage, but almost every of our competitors does a comparison to Cloud pricing. And when you do apples to apples, Cloud vendors are more expensive than storage as a services, not just from us, but pretty much for a moment. So let's take an example. We're Six Nines by default. Okay. So as you know, most Cloud providers provide three or Fournines as the default. They'll let you get five or Six Nines, but guess what? They charge you extra. So item number one. Second thing, performance, as you know, the performance of Cloud storage is usually very weak, but you can make it faster if you want to. They charge extra for that. We're sitting at 2,250 terabytes per IOPS, excuse me, per terabytes. That's incredible performance If you've got 100 terabytes, okay. And if your applications and workloads and that's the worst case, by the way, which differentiates from our competitors who usually quote the best case, we quote you the worst case and our worst case by the way, is almost always higher than their best cases in each of the tiers. So at their middle tier, our worst case is usually better than their best case. But the point is, if you get 4,000 IOPS per terabyte and you're on a tier two contract, it's a two-tier contract. And in fact, let's say that theCUBE has a five-year deal. And we base this on our FlashSystem technology. And so let's say for tier two, for sake of argument, FlashSystem, 7,200. We come out two years after theCUBE has it installed with the FlashSystem, 7,400. And let's say the FlashSystem, 7,400, won't deliver a 2,250 IOPS per terabyte, but 5,000, if we choose to replace it, 'cause remember it's our physical property. We own it. If we choose to replace that 7,200 with a 7,400, and now you get 5,000 IOPS per terabyte, it's free. You signed a tier two contract for five years. So two years later, if we decide to put a different physical system there and it's faster, or has four more software features, we don't charge you for any of that. You signed an SLA for tier two. >> You haven't Paid for capacity, right? All right. >> You are paying for the capacity (indistinct) performance, you don't pay for that. If we swap it out and the, the array is physically faster, and has got five new software features. You pay nothing, you pay what your original contract was based on the capacity. >> What I'm saying is you're learning from the Cloud providers 'cause you are a Cloud provider. But you know, a lot of the Cloud providers always sort of talk about how they lower prices. They lower prices, but you know, well, you worked at storage companies your whole life and they, they lower prices on a regular basis because they 'cause the cost of the curve. And so. >> Right. The cost of storage to Cloud, I mean, the average price decline in the storage industry is between 15 and 25%, depending on the year, every single year. >> Right. >> As, you know, you used to be with one of those analysts firms that used to track it by the numbers. So you've seen the numbers. >> For sure. Absolutely. >> On average it drops 15 to 25% every year. >> So, what's driving this then? If it's, it's not necessarily, is it the shift from, from CapEx to OPEX? Is it just a more convenient model than on a Cloud like model? How do you see that? >> So what's happened in IT overall is of course it started with people like salesforce.com. Well, over 10 years ago, and of course it's swept the software industry software as a service. So once that happened, then you now see infrastructure as a service, servers, switches, storage, and an IBM with our storage as a service, we're providing that storage capability. So that as a service model, getting off of the traditional licensing in the software world, which still is out there, but it's mostly now is mostly software as a service has now moved into the infrastructure space. From our perspective, we are giving our business partners and our customers, the choice. You still want to buy it. No problem. You want to lease it? No problem. You want a full OpEx model. No problem. So for us, we're able to offer any of the three options. The, as a service model that started in software has moved now into the systems world. So people want to change often that CapEx into OpEx, we can even see Global Fortune 500s where one division is doing something and a different division might do something else, or they might do it different by geography. In a certain geography, they buy our FlashSystem products and other geographies they lease them. And in other geographies it's, as a service. We are delivering the same feature, function, benefit from a performance availability software function. We just give them a different way to procure. Do you want CapEx you want leasing or OpEx you pick what you want, we'll deliver the right solution for you. >> So, you got the optionality. And that's great. You've thought that out, but, but the reason I'm asking Eric, is I'm trying to figure out this is not just for you for everybody. Is this a check-off item or is this going to be the prevailing way in which storage is consumed? So if you had, if you had a guess, let's go far out. So we're not making any near-term forecast, but end of the decade, is this going to be the dominant model or is it going to be, you know, one of the few. >> It will be one of a few, but it'll be a big few. It'll be the big, one of the biggest. So for sake of argument, there we'll still be CapEx, they'll still be OpEx they'll still be, or there will be OpEx and they're still be leasing, but I will bet you, you know, at the end of this decade, it'll be 40 to 50% will be on the OpEx model. And the other two will have the other 50%. I don't think it's going to move to everything 'cause remember, it's a little easier during the software world. In the system world, you've got to put the storage, the servers, or the networking on the prem, right? Otherwise you're not truly, you know, you got to make it a true OpEx model. There's legal restrictions. You have to make it OpEx, if not, then, you know, based on the a country's practice, depending on the country, you're in, they could say, "Well, no, you really bought that. It's not really a service model." So there's legal constraints that the software worldwise easier to get through and easier to get to bypass. Right? So, and remember, now everything is software as a service, but go back when salesforce.com was started, everyone in the enterprise was doing ELAs and all the small companies were buying some sort of contract, right, or buying by the (indistinct) basis. It took a while for that to change. Now, obviously the predominant model is software as a service, but I would argue given when salesforce.com started, which was, you know, 2007 or so, it took a good 10 years for software as a service to become the dominant level. So I think A, it won't take 10 full years because the software world has blazed a trail now for the systems world. But I do think you'll see, right. We're sitting here know halfway through 2021, that you're going to have a huge percentage. Like I said, the dominant percentage will be OpEx, but the other two will still be there as well. >> Right. >> By the way, you know in software, almost, no one's doing ELAs these days, right? A few people still do, but it's very rare, right? It's all software as a service. So we see that over time doing the same thing in the, in the infrastructure side, but we do think it will be slower. And we'll, we'll offer all three as, as long as customers want it. >> I think you're right. I think it's going to be mixed. Like, do I care more about my income statement or my balance sheet and the different companies or individual different divisions are going to have different requirements. Eric, you got to leave it there. Thanks much for your time and taking us through this announcement. Always great to see you. >> Great. Thank you very much. We really appreciate our time with theCUBE. >> All right. Thank you for watching this CUBE conversation. This is Dave Vellante and we'll see you next time. (upbeat music)

Published Date : Jul 29 2021

SUMMARY :

in the storage business, and everything you guys do. Eric, can you give us, and the hot ticket items how you approach the market? of the Fortune 500 Chief the announcement that you made here. you can just essentially say, So part of the strategy is air gapping. So you can use this in a myriad of ways. If you want it... different levels of control. And you can automate all the management you could detect anomalous behavior. And clearly many of the security are you seeing any use So in fact, you know, So you guys announced your, So if you don't use the So you got Six Nines And I get, And HyperSwap allows you to do that. we can give you best practices on that In the term of the contracts are what? Yeah. So the other vendors, if you If you make a commitment if you go beyond your So we give you 50% extra, right? and how did you deal with kind of the So, first of all, we've the variable you pay for When you have a variable to charge you up front? on the base capacity. Okay, so upfront you pay for the base? So if you don't use any of the variable, You haven't Paid for capacity, right? you pay what your original contract was But you know, decline in the storage industry As, you know, For sure. 15 to 25% every year. Do you want CapEx you want leasing or OpEx So if you had, if not, then, you know, By the way, you know in software, Eric, you got to leave it there. Thank you very much. Thank you for watching

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Mark Roberge, Stage 2 Capital & Paul Fifield, Sales Impact Academy | CUBEconversation


 

(gentle upbeat music) >> People hate to be sold, but they love to buy. We become what we think about, think, and grow rich. If you want to gather honey, don't kick over the beehive. The world is replete with time-tested advice and motivational ideas for aspiring salespeople, Dale Carnegie, Napoleon Hill, Norman Vincent Peale, Earl Nightingale, and many others have all published classics with guidance that when followed closely, almost always leads to success. More modern personalities have emerged in the internet era, like Tony Robbins, and Gary Vaynerchuk, and Angela Duckworth. But for the most part, they've continued to rely on book publishing, seminars, and high value consulting to peddle their insights and inspire action. Welcome to this video exclusive on theCUBE. This is Dave Vellante, and I'm pleased to welcome back Professor Mark Roberge, who is one of the Managing Directors at Stage 2 Capital, and Paul Fifield, who's the CEO and Co-Founder of Sales Impact Academy. Gentlemen, welcome. Great to see you. >> You too Dave and thanks. >> All right, let's get right into it. Paul, you guys are announcing today a $4 million financing round. It comprises $3 million in a seed round led by Stage 2 and a million dollar in debt financing. So, first of all, congratulations. Paul, why did you start Sales Impact Academy? >> Cool, well, I think my background is sort of two times CRO, so I've built two reasonably successful companies. Built a hundred plus person teams. And so I've got kind of this firsthand experience of having to learn literally everything on the job whilst delivering these very kind of rapid, like achieving these very rapid growth targets. And so when I came out of those two journeys, I literally just started doing some voluntary teaching in and around London where I now live. I spend a bunch of time over in New York, and literally started this because I wanted to sort of kind of give back, but just really wanted to start helping people who were just really, really struggling in high pressure environments. And that's both leadership from sense of revenue leadership people, right down to sort of frontline SDRs. And I think as I started just doing this voluntary teaching, I kind of realized that actually the sort of global education system has done is a massive, massive disservice, right? I actually call it the greatest educational travesty of the last 50 years, where higher education has entirely overlooked sales as a profession. And the knock-on consequences of that have been absolutely disastrous for our profession. Partly that the profession is seen as a bit sort of embarrassing to be a part of. You kind of like go get a sales job if you can't get a degree. But more than that, the core fundamental within revenue teams and within sales people is now completely lacking 'cause there's no structured formal kind of like learning out there. So that's really the problem we're trying to solve on the kind of like the skill side. >> Great. Okay. And mark, always good to have you on, and I got to ask you. So even though, I know this is the wheelhouse for you and your partners, and of course, you've got a deep bench of LPs, but lay out the investment thesis here. What's the core problem that you saw and how are you looking at the market? >> Yeah, sure, Dave. So this one was a special one for me. We've spoken in the past. I mean, just personally I've always had a similar passion to Paul that it's amazing how important sales execution is to all companies, nevermind just the startup ecosystem. And I've always personally been motivated by anything that can help the startup ecosystem increase their success. Part of why I teach at Harvard and try to change some of the stuff that Paul's talking about, which is like, it's amazing how little education is done around sales. But in this particular one, not only personally was I excited about, but from a fun perspective, we've got to look at the economic outcomes. And we've been thinking a lot about the sales tech stack. It's evolved a ton in the last couple of decades. We've gone from the late '90s where every sales VP was just, they had a thing called the CRM that none of their reps even used, right? And we've come so far in 20 years, we've got all these amazing tools that help us cold call, that help us send emails efficiently and automatically and track everything, but nothing's really happened on the education side. And that's really the enormous gap that we've seen is, these organizations being much more proactive around adopting technology that can prove sales execution, but nothing on the education side. And the other piece that we saw is, it's almost like all these companies are reinventing the wheel of looking in the upcoming year, having a dozen sales people to hire, and trying to put together a sales enablement program within their organization to teach salespeople sales 101. Like how to find a champion, how to develop a budget, how to develop sense of urgency. And what Paul and team can do in the first phase of essay, is can sort of centralize that, so that all of these organizations can benefit from the best content and the best instructors for their team. >> So Paul, exactly, thank you, mark. Exactly what do you guys do? What do you sell? I'm curious, is this sort of, I'm thinking in my head, is this E-learning, is it really part of the sales stack? Maybe you could help us understand that better. >> Well, I think this problem of having to upscale teams has been around like forever. And kind of going back to the kind of education problem, it's what's wild is that we would never accept this of our lawyers, our accountants, or HR professionals. Imagine like someone in your finance team arriving on day one and they're searching YouTube to try and work out how to like put a balance sheet together. So it's a chronic, chronic problem. And so the way that we're addressing this, and I think the problem is well understood, but there's always been a terrible market, sort of product market fit for how the problem gets solved. So as mark was saying, typically it's in-house revenue leaders who themselves have got massive gaps in their knowledge, hack together some internal learning that is just pretty poor, 'cause it's not really their skillset. The other alternative is bringing in really expensive consultants, but they're consultants with a very single worldview and the complexity of a modern revenue organization is very, very high these days. And so one consultant is not going to really kind of like cover every topic you need. And then there's the kind of like fairly old fashioned sales training companies that just come in, one big hit, super expensive and then sort of leave again. So the sort of product market fit to solve, has always been a bit pretty bad. So what we've done is we've created a subscription model. We've essentially productized skills development. The way that we've done that is we teach live instruction. So one of the big challenges Andreessen Horowitz put a post out around this so quite recently, one of the big problems of online learning is that this kind of huge repository of online learning, which puts all the onus on the learner to have the discipline to go through these courses and consume them in an on-demand way is actually they're pretty ineffective. We see sort of completion rates of like 7 to 8%. So we've always gone from a live instruction model. So the sort of ingredients are the absolute very best people in the world in their very specific skill teaching live classes just two hours per week. So we're not overwhelming the learners who are already in work, and they have targets, and they've got a lot of pressure. And we have courses that last maybe four to like 12 hours over two to sort of six to seven weeks. So highly practical live instruction. We have 70, 80, sometimes even 90% completion rates of the sort of live class experience, and then teams then rapidly put that best practice into practice and see amazing results in things like top of funnel, or conversion, or retention. >> So live is compulsory and I presume on-demand? If you want to refresh you have an on demand option? >> Yeah, everything's recorded, so you can kind of catch up on a class if you've missed it, But that live instruction is powerful because it's kind of in your calendar, right? So you show up. But the really powerful thing, actually, is that entire teams within companies can actually learn at exactly the same pace. So we teach it eight o'clock Pacific, 11 o'clock Eastern, >> 4: 00 PM in the UK, and 5:00 PM Europe. So your entire European and North American teams can literally learn in the same class with a world-class expert, like a Mark, or like a Kevin Dorsey, or like Greg Holmes from Zoom. And you're learning from these incredible people. Class finishes, teams can come back together, talk about this incredible best practice they've just learned, and then immediately put it into practice. And that's where we're seeing these incredible, kind of almost instant impact on performance at real scale. >> So, Mark, in thinking about your investment, you must've been thinking about, okay, how do we scale this thing? You've got an instructor component, you've got this live piece. How are you thinking about that at scale? >> Yeah, there's a lot of different business model options there. And I actually think multiple of them are achievable in the longer term. That's something we've been working with Paul quite a bit, is like, they're all quite compelling. So just trying to think about which two to start with. But I think you've seen a lot of this in education models today. Is a mixture of on-demand with prerecorded. And so I think that will be the starting point. And I think from a scalability standpoint, we were also, we don't always try to do this with our investments, but clearly our LP base or limited partner base was going to be a key ingredient to at least the first cycle of this business. You know, our VC firm's backed by over 250 CRO CMOs heads of customer success, all of which are prospective instructors, prospective content developers, and prospective customers. So that was a little nicety around the scale and investment thesis for this one. >> And what's in it for them? I mean, they get paid. Obviously, you have a stake in the game, but what's in it for the instructors. They get paid on a sort of a per course basis? How does that model work? >> Yeah, we have a development fee for each kind of hour of teaching that gets created So we've mapped out a pretty significant curriculum. And we have about 250 hours of life teaching now already written. We actually think it's going to be about 3000 hours of learning before you get even close to a complete curriculum for every aspect of a revenue organization from revenue operations, to customer success, to marketing, to sales, to leadership, and management. But we have a development fee per class, and we have a teaching fee as well. >> Yeah, so, I mean, I think you guys, it's really an underserved market, and then when you think about it, most organizations, they just don't invest in training. And so, I mean, I would think you'd want to take it, I don't know what the right number is, 5, 10% of your sales budget and actually put it on this and the return would be enormous. How do you guys think about the market size? Like I said before, is it E-learning, is it part of the CRM stack? How do you size this market? >> Well, I think for us it's service to people. A highly skilled sales rep with an email address, a phone and a spreadsheet would do really well, okay? You don't need this world-class tech stack to do well in sales. You need the skills to be able to do the job. But the reverse, that's not true, right? An unskilled person with a world-class tech stack won't do well. And so fundamentally, the skill level of your team is the number one most important thing to get right to be successful in revenue. But as I said before, the product market for it to solve that problem, has been pretty terrible. So we see ourselves 100%. And so if you're looking at like a com, you look at Gong, who we've just signed as a customer, which is fantastic. Gong has a technology that helps salespeople do better through call recording. You have Outreach, who is also a customer. They have technologies that help SDRs be more efficient in outreach. And now you have Sales Impact Academy, and we help with skills development of your team, of the entirety of your revenue function. So we absolutely see ourselves as a key part of that stack. In terms of the TAM, 60 million people in sales are on, according to LinkedIn. You're probably talking 150 million people in go to market to include all of the different roles. 50% of the world's companies are B2B. The TAM is huge. But what blows my mind, and this kind of goes back to this why the global education system has overlooked this because essentially if half the world's companies are B2B, that's probably a proxy for the half of the world's GDP, Half of the world's economic growth is relying on the revenue function of half the world's companies, and they don't really know what they're doing, (laughs) which is absolutely staggering. And if we can solve that in a meaningfully meaningful way at massive scale, then the impact should be absolutely enormous. >> So, Mark, no lack of TAM. I know that you guys at Stage 2, you're also very much focused on the metrics. You have a fundamental philosophy that your product market fit and retention should come before hyper growth. So what were the metrics that enticed you to make this investment? >> Yeah, it's a good question, Dave, 'cause that's where we always look first, which I think is a little different than most early stage investors. There's a big, I guess, meme, triple, triple, double, double that's popular in Silicon Valley these days, which refers to triple your revenue in year one, triple your revenue in year two, double in year three, and four, and five. And that type of a hyper growth is critical, but it's often jumped too quickly in our opinion. That there's a premature victory called on product market fit, which kills a larger percentage of businesses than is necessary. And so with all our investments, we look very heavily first at user engagement, any early indicators of user retention. And the numbers were just off the charts for SIA in terms of the customers, in terms of the NPS scores that they were getting on their sessions, in terms of the completion rate on their courses, in terms of the customers that started with a couple of seats and expanded to more seats once they got a taste of the program. So that's where we look first as a strong foundation to build a scalable business, and it was off the charts positive for SIA. >> So how about the competition? If I Google sales training software, I'll get like dozens of companies. Lessonly, and MindTickle, or Brainshark will come up, that's not really a fit. So how do you think about the competition? How are you different? >> Yeah, well, one thing we try and avoid is any reference to sales training, 'cause that really sort of speaks to this very old kind of fashioned way of doing this. And I actually think that from a pure pedagogy perspective, so from a pure learning design perspective, the old fashioned way of doing sales training was pull a whole team off site, usually in a really terrible hotel with no windows for a day or two. And that's it, that's your learning experience. And that's not how human beings learn, right? So just even if the content was fantastic, the learning experience was so terrible, it was just very kind of ineffective. So we sort of avoid kind of like sales training, The likes of MindTickle, we're actually talking to them at the moment about a partnership there. They're a platform play, and we're certainly building a platform, but we're very much about the live instruction and creating the biggest curriculum and the broadest curriculum on the internet, in the world, basically, for revenue teams. So the competition is kind of interesting 'cause there is not really a direct subscription-based live like learning offering out there. There's some similar ish companies. I honestly think at the moment it's kind of status quo. We're genuinely creating a new category of in-work learning for revenue teams. And so we're in this kind of semi and sort of evangelical sort of phase. So really, status quo is one of the biggest sort of competitors. But if you think about some of those old, old fashioned sort of Miller Heimans, and then perhaps even like Sandlers, there's an analogy perhaps here, which is kind of interesting, which is a little bit like Siebel and Salesforce in the sort of late '90s, where in Siebel you have this kind of old way of doing things. It was a little bit ineffective. It was really expensive. Not accessible to a huge space of the market. And Salesforce came along and said, "Hey, we're going to create this cool thing. It's going to be through the browser, it's going to be accessible to everyone, and it's going to be really, really effective." And so there's some really kind of interesting parallels almost between like Siebel and Salesforce and what we're doing to completely kind of upend the sort of the old fashioned way of delivering sort of sales training, if you like. >> And your target customer profile is, you're selling to teams, right? B2B teams, right? It's not for individuals. Is that correct, Paul? >> Currently. Yeah, yeah. So currently we've got a big foothold in series A to series B. So broadly speaking out, our target market currently is really fast growth technology companies. That's the sector that we're really focusing on. We've got a very good strong foothold in series A series B companies. We've now won some much larger later stage companies. We've actually even won a couple of corporates, I can't say names yet, but names that are very, very, very familiar and we're incredibly excited by them, which could end up being thousand plus seat deals 'cause we do this on a per seat basis. But yeah, very much at the moment it's fast growth tech companies, and we're sort of moving up the chain towards enterprise. >> And how do you deal with the sort of maturity curve, if you will, of your students? You've got some that are brand new, just fresh out of school. You've got others that are more seasoned. What do you do, pop them into different points of the curriculum? How do you handle it? >> Yeah we have, I'll say we have about 30 courses right now. We have about another 15 in development where post this fundraise, we want to be able to get to around about 20 courses that we're developing every quarter and getting out to market. So we're literally, we've sort of identified about 20 to 25 key roles across everything within revenue. That's, let's say revenue ops, customer success, account management, sales, engineering, all these different kinds of roles. And we are literally plotting the sort of skills development for these individuals over multiple, multiple years. And I think what we've never ceases to amaze me is actually the breadth of learning in revenue is absolutely enormous. And what kind of just makes you laugh is, this is all of this knowledge that we're now creating it's what companies just hope that their teams somehow acquire through osmosis, through blogs, through events. And it's just kind of crazy that there is... It's absolutely insane that we don't already exist, basically. >> And if I understand it correctly, just from looking at your website, you've got the entry level package. I think it's up to 15 seats, and then you scale up from there, correct? Is it sort of as a seat-based license model? >> Yeah, it's a seat-based model, as Mark mentioned. In some cases we sell, let's say 20 or $30,000 deal out the gate and that's most of the team. That will be maybe a series A, series B deal, but then we've got these land and expand models that are working tremendously well. We have seven, eight customers in Q1 that have doubled their spend Q2. That's the impact that they're seeing. And our net revenue retention number for Q2 is looking like it's going to be 177% to think exceeds companies like Snowflakes. Well, our underlying retention metrics, because people are seeing this incredible impact on teams and performance, is really, really strong. >> That's a nice metric compare with Snowflake (Paul laughs) It's all right. (Dave and Paul laugh) >> So, Mark, this is a larger investment for Stage 2 You guys have been growing and sort of upping your game. And maybe talk about that a little bit. >> Yeah, we're in the middle of Fund II right now. So, Fund I was in 2018. We were doing smaller checks. It was our first time out of the gate. The mission has really taken of, our LP base has really taken off. And so this deal looks a lot like more like our second fund. We'll actually make an announcement in a few weeks now that we've closed that out. But it's a much larger fund and our first investments should be in that 2 to $3 million range. >> Hey, Paul, what are you going to do with the money? What are the use of funds? >> Put it on black, (chuckles) we're going to like- (Dave laughs) >> Saratoga is open. (laughs) (Mark laughs) >> We're going to, look, the curriculum development for us is absolutely everything, but we're also going to be investing in building our own technology platform as well. And there are some other really important aspects to the kind of overall offering. We're looking at building an assessment tool so we can actually kind of like start to assess skills across teams. We certify every course has an exam, so we want to get more robust around the certification as well, because we're hoping that our certification becomes the global standard in understanding for the first time in the industry what individual competencies and skills people have, which will be huge. So we have a broad range of things that we want to start initiating now. But I just wanted to quickly say Stage 2 has been nothing short of incredible in every kind of which way. Of course, this investment, the fit is kind of insane, but the LPs have been extraordinary in helping. We've got a huge number of them are now customers very quickly. Mark and the team are helping enormously on our own kind of like go to market and metrics. I've been doing this for 20 years. I've raised over 100 million myself in venture capital. I've never known a venture capital firm with such value add like ever, or even heard of other people getting the kind of value add that we're getting. So I just wanted to a quick shout out for Stage 2. >> Quite a testimony of you guys. Definitely Stage 2 punches above its weight. Guys, we'll leave it there. Thanks so much for coming on. Good luck and we'll be watching. Appreciate your time. >> Thanks, Dave. >> Thank you very much. >> All right, thank you everybody for watching this Cube conversation. This is Dave Vellante, and we'll see you next time.

Published Date : Jul 21 2021

SUMMARY :

emerged in the internet era, So, first of all, congratulations. of the last 50 years, And mark, always good to have you on, And the other piece that we saw is, really part of the sales stack? And so the way that we're addressing this, But the really powerful thing, actually, 4: 00 PM in the UK, and 5:00 PM Europe. How are you thinking about that at scale? in the longer term. of a per course basis? We actually think it's going to be and the return would be enormous. of the entirety of your revenue function. focused on the metrics. And the numbers were just So how about the competition? So just even if the content was fantastic, And your target customer profile is, That's the sector that of the curriculum? And it's just kind of and then you scale up from there, correct? That's the impact that they're seeing. (Dave and Paul laugh) And maybe talk about that a little bit. should be in that 2 to $3 million range. Saratoga is open. Mark and the team are helping enormously Quite a testimony of you guys. All right, thank you

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John Maddison, Fortinet | CUBEconversation


 

(calm electronic music) >> Welcome to this CUBE Conversation with Fortinet. I'm Lisa Martin. John Madison joins me, the CMO and EVP of products. John, welcome back to the program. >> Thanks Lisa. Good to be here. >> Good to see you. So, so much has changed since I last saw you. The move to remote work caused by the pandemic led so many organizations to invest in modern networking and security technologies. And we see, you know, the rise in the threat landscape that protecting digital assets is becoming even more and more urgent because the threats are continuing to escalate. Talk to me about some of the things that you're seeing with this current threat landscape. >> Yeah. Well, it keeps changing that's for sure. You saw some recent surveys where, you know, now companies are seeing, in terms of where employees are located, you know, 25% expecting to be in the office, 25% expected to be permanently in the home. And then there's this big 50% of hybrid, which we think will move a bit more towards the office as people get back in the office. But that's going to take some time. We're actually starting to move back in the office here in Santa Clara, Sunnyvale. but it's very different in every region in the U.S and regulations and laws around the world. And so we think it's going to be very much work from anywhere. There's a bit of travel starting as well. And so this work from anywhere concept is going to be very important to customers going forward. And the ability to change the dynamics of that ratio as they go forward. >> (indistinct) This work from anywhere that over- last year overnight sort of became an absolute essential. But now, as you said, we're going to have this hybrid model of some going back, some staying home and the security and the perimeter is dissolving. When you look at supporting customers and their remote work from anywhere, their new work from anywhere model, what are some of the things that are top of mind that you're hearing from customers? >> Well, I, you know, I sometimes hear this premise is disappearing. I think in some ways it's moving to the user and the devices. And there's this concept called zero trust network access which I've said in many occasions should be zero trust application access, but they named it that way which is going to be an important technology because as I said, it kind of moves that premise then to that user and previous technology that we had VPN technology was good technology. And in fact, a lot of companies, if you go back to when the pandemic started last year, put a lot of people on the VPN technology as quick as possible and it was reasonably robust. But as we go forward, what we're going to have to do is make sure that perimeter- at that perimeter, that users only get access to the applications they're using rather than the whole network. Eventually when they're on the network you need to make sure that it's segmented so they can't go everywhere as well. And so this zero trust network access or zero trust or zero trust access, there's lots of kind of different versions of it, is going to be very important concept for users. The other piece of it, I think, is also that it needs to be more intuitive to use, as anything you kind of have users do like the VPN where you had to kind of dial in and- or bring up- you're bringing up your connection and your IPsec connection, et cetera, et cetera means that people tend not to use it. And so to make it intuitive and automatic is going to be really important. >> Intuitive and automatic. One of the things that we also saw was this massive rise in digital transformation last year, right? SAS adoption, these SAS applications keeping many of us in collaboration. So I'm thinking, you know, in that sense with the perimeter changing and the work from anywhere, this consistent, secure internet connection among users at the branch or the branch of one has to be there to keep organizations productive and safe. How is the Fortinet enabling the ZTNA- this evolution of VPN? >> Yeah. That's another piece of it. So not only are users on and off the network or traveling so that- or both, so the applications are moving. So a lot of them are moved from data centers to public cloud in the form of infrastructure or SAS. We're now seeing customers actually move some applications towards the building or building compute or edge compute. So the applications keep moving which also causes this problem. And so another function of zero trust access or ZTNA is to not care where the application is. You rely on some technology and it's called proxy technology, which allows the proxy to track where the applications are. And for us, that sits inside of our firewalls. And that makes it very flexible. And so we've been able to kind of just ramp up that proxy against the policy engine, whether it be in the data center or in the cloud, or even on your premise. Even integrated inside a branch or something like that. That's going to be very important because, as you just said, those applications will just keep moving into different areas and different zones as you go forward. >> (Lisa) And that's probably going to be permanent for a lot of organizations. So it- so they haven't renamed it zero trust application access, like you think it should be. But when organizations are looking into zero trust network access, what should- what are some of the key things that they need to be looking for and mindful of? >> Yeah, (indistinct) And so it's probably the, you know, the number one conversation they've had over the last six months. I think people initially just had to get something working. Now they're looking seriously at a longer term architecture for their access, their user access and device access. I think what I find is that something like zero trust network access is more of a use case across multiple components. And so if you look inside it, you need a client component endpoint; you need a proxy that in front of the cloud capabilities; you need a policy engine; you need to use identity-based systems. If you haven't got- if you can't get an agent on the device, you may need a NAC system. And so usually what customers find is I've got four or five current- different vendors in those areas. And cybersecurity vendors are not the best at working together, which they were, because then we do better for customers. And so trying to get two vendors to work is hard enough, trying to get five or six is really hard. And so what they're looking at over time is to say, maybe I get the minimum basic ZTNA working. And then as I go forward, for example, what they really want is this continuing posture assessment. Well, you can do that with some EDR technology, but is that EDR technology integrated into your policy engine? No. So I think what customers are saying is, let me start with the base ZTNA with maybe two vendors. And then as I go forward implement a, you know, a fabric or a platform approach to get everything working together. 'Cause it's just too hard with five or six vendors. >> Right. Is there, I'm curious if there's a shared responsibility model with customers working with different vendors; what actions and security responsibilities fall on the customer that they need to be aware of? >> Well, and it also comes back to this, you know, there's convergence of networking and security. And I've said a few times I'm definitely seeing CIOs and CSOs, security teams, and networking teams working much more closely. And especially when you've got a use case now that goes across security items and networking items and networking, the proxy has always been in the control of the networking team. Endpoint security is always been in the- you know, the security team. It's just forcing this convergence not just of the technologies itself but of the organizations inside enterprises. >> (Lisa) Well, and that's a challenging one for every organization is getting, you know, if you're talking about it in general, the business folks, the IT folks. Now this is not just a security problem. This is a problem for the entire corporation, as we just saw with the Colonial Pipeline. Ransomware is now becoming a household name. These are business-critical board-level discussions I imagine on the security side. How is Fortinet helping customers kind of bridge that gap between the biz folks and the IT folks where security is concerned? >> Yeah. You know, ransomware has been around quite a while. I think two years ago, we saw a lot of it in the schools. K-12 schools in the U.S. I think they're picking some richer targets now. The colonial one, I think there was a 4 million ransom. I think that they managed to get some of that money back. But, you know, instead of, you know, demanding $5,000 or $10,000 from a small business or a school they're obviously demanding millions from these larger companies. And you know, one of the problems with ransomware is, you know, it still relies heavily on social engineering. I don't think you can eliminate that people clicking on stuff, you know, a very small percentage still. I think what it means is you have to put some more proactive things in place, like the zero trust, like micro-segmentation, like web application file warning. All these capabilities to try and make your systems as strong as possible. So then put in detection and response systems to assume that someone's clicking on something somewhere just to help. But it's definitely the environment. You know, the threat environment. It's not really gotten more sophisticated; yes, there are still advanced threats. I fear more about those weaponized APTs and state sponsored, but there's definitely a huge volume of ransomware now going after, you know, not only, you know, meat processing factories, but pipelines and critical infrastructure as we go forward. That's the more worrying. >> (Lisa) Right. You bring up a good point about, sort of, people being one of the biggest challenges from a security perspective. Clicking on links, not checking to see if a link is bogus or legitimate. So, help me understand a little bit more how is zero trust can help maybe take some of that human error out of the equation? >> Well, because I think before, you know, when you got access, when you're off the network and you've got access to the network, you've got access to everything, okay. So once you're on the network, and I think the Colonial Pipeline was a good example where traditionally, operational technology networks, physical networks sort of separate from the IT network and they had something called an air gap. And that air gap meant you really couldn't get to it. Now when people had to be remote because of the pandemic, they started taking these air gaps. And so now we had remote access. And so again, when you- when they got that remote access and they got into the network, they could- the network was very flat and you could see everything you can go anywhere. And so that's what zero trust does. It kind of says, I kind of did the zero trust approach to you that I'm only going to allow you access to this application. And I'm going to keep checking on you to make sure you are you are who you say you are on a continuous basis. And that really provides a bit more safety. Now, I still- we still think you need to put things like segmentation in place and some other capabilities and monitoring everything else, but it just narrows the attack surface down from this giant network approach to a specific application >> Narrowing that is the right direction. How do organizations, when you're working with customers, how do they go- How do they evolve from a traditional VPN to zero trust? What are some of the steps involved in that? >> Well, I think it's, you know, what's interesting is customers still have data centers. In fact, you know, some of the customers who have legacy applications will have a data center for a long time. And in fact, what I find is even if you've implemented zero trust to a certain population, employee population, they still have VPNs in place. And sometimes they use them for the IT folks. Sometimes they use them for a specialized developers and stuff like that. And so I think it's going to be like everything, everything goes a hundred percent this way and it stays this way. And so it's going to be hybrid for a while where we see VPN technology and zero trust together. You know- our approach is that you can have both together and it's both on the same platform and it'll just gradually evolve as you go forward. >> What are some of the things you're looking forward to in the next year as this hybrid environment continues, but hopefully things start to open up more? What are some of the things that we can expect to hear and see from Fortinet? >> Well, I'm looking forward to getting out of my home office, that's for sure. >> (Lisa laughing) >> It's like I've been imprisoned here for eighteen months. >> I agree with you on that! So we'll try that. And, you know, I always thought I traveled too much before and now I'm contemplating on the travel piece. But from, you know, Fortinet's perspective, you know, our goal is to make sure that, you know, our customers can increase. We'll make sure they can protect themselves. And so we want to help them and keep working with them such that they put best practices in place and they start architecting longer-term to implement things like zero trust or sassy or some of these other capabilities. And so, you know, I think the- we've had a lot of interest with customers on these virtual sessions. I'm really looking forward to getting them back in our new building, our new executive briefing center, which we're opening up in the next few weeks. You may have more of those face-to-face and white boarding conversations with customers. >> Oh, that sounds so exciting. I agree with you on the travel front, but going from traveling a ton to none was a big challenge. But also, I imagined it'll be great to actually get to collaborate with customers again, and partners. You know, you can only do so much by Zoom. Talk to me a little bit about some of the things on the partnership front that we might be seeing. >> Yeah, our partners, you know, we're a hundred percent partner-driven company and partners are very important to us. And, you know, and that's why we always, when we introduce new technology, we work with the partners to make sure that they understand it. So for example, we provide free what they call an NSE training to all our partners. And then we also work with them very closely to put systems in their labs and the demos and make sure they can architect. And so partners are really important to us and, you know, making sure that they can provide value as part of a solution set to our customers, because customers trust them. And so we want to make sure that we work with our partners closely so they can help the customer implementing architect solutions as they go forward. >> That trust is critical. Right? I mean, we can talk about that at every event, every CUBE Conversation, the trust that an a customer has in you, the trust that you have in a partner and vice versa. That whole trust circle kind of goes along the lines with what we're talking about in terms of being able to establish that trust. So that threat landscape that's probably only going to continue to get bigger is in the trusted hands of folks like Fortinet and your partners to be able to enable those customers to narrow that threat landscape. >> Yeah, yeah. And so it could be the smallest partner to the largest service provider. We don't mind. We want to make sure that we're working with them to provide that implementation from the customers. And again, the word trust is sometimes overused, but that's what customers are looking for. >> (Lisa) So, John, point me to when our audience is some of the information that they can find on Dotcom about zero trust. What are some of the things that you think are great calls to action for the audience? >> Yeah. I mean, it depends. I think it depends on what level you want to get into where we have a bunch of assets, videos, and training but start at the very highest level, you know, why is zero trust something you need to implement? And then it goes down into more details and then even the architecture, long-term architecture and connectivity and implementation. So there's a lot of assets on Fortinet.com If you go on our training sessions, there's- all our training's free to our customers. And so you can go in all those NSE levels and look at the capabilities. So yeah, definitely it's a- it's an area of high interest from our customers. But as I say to them, it's more of a journey. Yes, you can implement something today really quickly, but will that work for you over the long-term in making sure you can take all the information from the, like I said, you know, how is the voice, the posture of that device? What is the device with an agent doing, you know, as my contextual engine integrated as well? So it's a journey for customers and, but you can start with something simple but you need to have that plan for that journey in place. >> I imagine though, John, it's a journey that is either accelerating, or with the threat landscape and some of the things that we've already talked about, is becoming an absolutely board-critical conversation. So, and on that journey, does Fortinet work with customers to accelerate certain parts of it? Because you know, these businesses have been pivoting so much in the last year and they've got to not just survive, but now thrive in this new landscape, this new hybrid work from home, work from anywhere environment and also with more threats. >> Yeah, no, it's a good point. And so, you know, even those internally are implementing it starting the most critical assets first. So let's say, you know, I've got somebody working on source code, they should be the first ones to get the zero trust implementation. I've got somebody asking from the internet to search for stuff. Maybe they're okay for now, but yeah. So you kind of prioritize your assets and users against, you know, the threat and then implement. That's why I'm saying you can roll it out across everyone as, you know, a certain version of it. But I think it's better to prioritize first the most important assets in IP and then roll it out that way. >> (Lisa) Great advice. >> Because some of- a lot of those assets are still sitting in the data center. >> Right. >> So they're not sitting in the cloud. >> Right. John, great advice. Thank you so much for joining me. Good to see you, glad all is well and that you will be able to get out of your home office. You're just days away from that. I'm sure that's going to feel great. >> Certainly is. And thank you, Lisa. >> Nice to see you. For John Madison, I'm Lisa Martin. You're watching this CUBE Conversation. (calm electronic music with piano)

Published Date : Jul 9 2021

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Jim Richberg, Fortinet | CUBEconversation


 

(upbeat music) >> Welcome to this Cube Conversation. I am Lisa Martin. Jim Richberg joins me next, public sector CISO at Fortinet. Welcome to the program. Great to see you. >> Okay, good to be with you, Lisa. >> Lots of stuff has happened in the last year. I mean that's an epic understatement, right? But one of the things that... We saw this massive shift to work from home, and now we're... I hope I can say coming out of the pandemic, and we're starting to see this hybrid model of kind of work from anywhere. We also saw the massive spike in ransomware last year. Ransomware now being suddenly a household term. There's so much money in it. From a hybrid approach, what are some of the things that you're seeing? >> So, when we talk about hybrid, what we go back to is not going to be the office that we left. Some of us aren't going back at all. Some of us are going back in. We're not going to have assigned desks. Some of the offices are going to be in different places, and the nature of the work that we've been doing has changed. So it definitely means the new normal isn't going to look like the old normal did before March of 2021. So I tell organizations that they really need to think about what that means in terms of how they structure work, how they structured their networks. Because as you said, Lisa, it's going to be work from anywhere. Some of us are going to go back out on the road. We'll be the road warriors again. So you're not going back to a classic network, in an office with CAT5 Cat 5 cables, connecting everybody's desktop. And some of us are even going to get hired who never ever go to the office. So this is a situation where we really have to think through what this means in terms of how we work, the culture we have as a workplace, and unfortunately, it's not just the enterprise and the workforce that have been innovating. The threat actors have gone hybrid. There was a little pause while they started working from home, figuring out what to do, but the reality is they took us to lunch when they figured out exactly what these vulnerabilities in the small office, home office environment were, and how to exploit them. Lisa, you talked about ransomware rising 700% in the latter half of last year. And this is actually indicative of what I think is the biggest problem we have in cyber security. It's not technology. If you're willing to do a rip and replace and put in state of the art technology, there's some really good solutions. Some of that technology, when it starts incorporating artificial intelligence and automation, actually goes a long way to compensate for the workforce and skills gap we all hear about, 3 million people short. That's a true number. But Lisa, the biggest problem in cyber security from my perspective, and I've been doing this for 35 years, is metrics. We can't measure what's going on and say, "If I do this, this is how it affects the network security and this is how it affects the adversary's behavior." And that's exactly what we saw in this pivot to remote telework. It took networking and security working hand in hand to make that pivot. Because I've seen those two as the centerpiece of their organization. In March of last year, when we all went into lockdown, we would've gone and do shutdown if we haven't had the ability to forward deploy that IT to the home environment. And we can measure our success on the IT side. Did we have enough bandwidth? Did we give them the right platforms? Did the latency mean things froze up or not? We couldn't measure cybersecurity as well. We said, "Okay, due diligence says we'll give you a two-factor authentication, and we're going to do a secure connection back to the office. But then they said we were basically treating it as if you were logged on from your cube or your office, and the reality is you weren't. You were logged in from an environment that your organization had very little, if any, visibility or control into what was going on there, and that's how we got exploited. And because we couldn't measure that, it was only in hindsight that we could see exactly how insecure that was for many organizations. We cut corners. We had to do this to get up and running. That's not a good jumping off point for your status quo going into this hybrid environment in the future. >> So it sounds like you said the ransomware... When I spoke with with Derek Manky, I think about last month or so, ransomware were up 700%. I can only imagine what's happening this year, but one of the things I want to get your perspective on, Jim, is, what's top of mind for both public sector and private sector folks? As you're saying from a measurement perspective, There's a challenge there. There's this hybrid model that's amorphous we'll say. What are some of the things that are top of mind for them, and then how are you helping advise them? Because, as you say, the threat actors got to work pretty quick, so there's a race here. >> Well, top of mind for both of course is ransomware. And the ironic thing is ransomware is not a new phenomenon. It's been with us for a long time. It used to affect retail, one computer at a time, and it was 50 or 100 bucks to decrypt your personal computer. What has changed is the rise of cryptocurrency. It's so easy to monetize the ability to cash out with the victim now. There was a time five to 10 years ago where there were basically three places that were essentially the clearinghouses for this kind of stuff. So government could target those through law enforcement, and that meant that you really had the equivalent of the pawnbroker you needed to watch out for who was the fence that people were going to. Now, come on, cryptocurrency is essentially a fiat currency in some countries. So it's going everywhere. The fact that we have commoditized the ability to do it, you're familiar with ransomware as a service. You don't have to be a coder now. You rent the stuff. Sometimes you pay as much as 80% of the profit to the person you're renting it from. You're basically the mule doing the grunt work, but we've made it so that you don't need to know anything about computer science to carry this kind of crime off. And frankly, we've got some safe haven, some geopolitical safe heavens. It's much like spam was 10 years ago where there were a few countries where probably more traffic coming out as email was spammed in legitimate traffic. And we've got some big nation stages that are basically complicit in allowing this to occur, so safe haven. So this is why ransomware has become such a problem for everybody, and then of course you've got supply chain. You look at solar winds, you look at Microsoft Exchange, Office 365 vulnerability. This again is a problem that's been with us for a long time. It's one that tends to be focused primarily on government customers, because this is something where, yeah, you can do it as a criminal activity, but this really tends to be a game that nation states play against nation state terms. But something like SolarWinds was such an epiphany, was so serious that a lot of organizations said, "Oh my goodness, this attacked the root of trust. This fundamentally got into the system from the inside out." It scared people. And the reality is something like that infected far more people than were actively exploited. I've talked to some people in both the public sector at the state level, and in private sector who say, "Yes, my organization was compromised by this, but we weren't affected." So from my perspective, we were collateral damage. We were caught in the crossfire of a war between nation states. Do we want to spend our scarce cyber security resources trying to mitigate that kind of sophisticated threat? No, not when we know we've got ransomware, when we've got these vulnerabilities in the work from anywhere environment. That's where I want to put my next dollars. So it's been a health conversation with some of them as to what's most concerning to them and what they want to prioritize in mitigation. >> So if we look at some of the executive orders, Jim, that have come down, ransomware I said became a household word. I'm pretty sure my mom even knows the term ransomware, the Colonial Pipeline, the meat packing, where we're starting to see, wow, this is not just, as you said earlier in the beginning, isolated incidents or attacks. This is now affecting infrastructure, potentially public health and safety. Talk to me about some of the executive orders. What do you think they're going to do and where should agencies start? This race is going on. Like you said, they've got to be able to prioritize how they defend themselves. >> So two things to keep in mind when you look at an executive order. An executive order is the chief executive telling the executive branch what to do. If you look at the last executive order that President Biden signed on the 12th of May, people became seized with the fact that, "Oh my goodness, it tells the private sector it has to give threat information, it has to give breach information to the federal government, it has to change what it does in supply chain." You go no. It says when the federal government is your customer, when you're selling them a service, you have to do this. But otherwise, you don't do, by an executive order, something... It doesn't have the force of law. It just is the way you tell the executive branch to behave. So use that executive order as a case on point. Very large, very complex executive order that touched a lot of these things, ransomware, supply chain issues. The problem is you put a whole lot of good ideas in one executive order. You put a whole lot of aggressive time frame. Some things had to be done in 30, 45 days, 60 days, which is two weeks from now. It's crazy because one thing an executive order doesn't do is give you more money. The only way a government agency can spend money on this is if it aligned with the program it already had, or it has contingency funds, reserved funds to do it. So the problem is you take an executive order, you cram it full of good ideas, and you have too many good ideas. So the reality is this executive order tells the government to do a lot of things at once, and it has to by law, well, by the president's direction, focus on all this at once. But if I could pick and choose these, I would say start with the section that said focus on modernizing the cybersecurity of the federal government. There's goodness to come out of that. It has zero trust architecture. Federal government did a great idea of articulating what that was, even years before we called it zero trust. Federal government was segmenting its networks. It had need-to-know access. It was doing things. I come from the national security community. That was just the way we worked. We didn't call it anything fancy like zero trust. We didn't trust anybody. That's the way it worked in the spy business. But zero trust architecture, accelerating migration to the cloud, putting in multi-factor authentication and encryption of data at rest and in transit, deploying endpoint detection and response. Those are things in the executive order that if agencies could focus on those and make progress on implementing those, thumbs up, you have appreciably increased security without even touching the harder things that unfortunately are going to distract people like supply chain, and definitions of what critical software is and the cyber safety board. All good things, but the problem is if you try to do everything at once, the reality is you end up making progress on, appreciable progress on nothing. >> Right, which obviously we don't have the time for that. I'm curious getting your point, because one of the challenges with respect, well, threat vectors with respect to cybersecurity is people. With this shift to home, we had people using corporate devices on home networks and random devices, and now we've got this, as we talked about earlier, this hybrid approach coming back. But how much can zero trust help agencies really educate or really help defend form the human error that is often the cause of getting ransomware through email or an attachment. >> So, Lisa, that is exactly... We're handicapped by the name because zero trust sounds like I don't trust you, you're not trustworthy, rather than trust should be based on the transaction. Like if you need to read data to a file, why am I giving the ability to write to the file or, even worse, delete the file? Just give you what you need to get the job done. And this is tech that is your safety net. It's not Big Brother. When you do real-time monitoring as part of dynamic zero trust, it looks at it and says, "Well, Lisa is doing something she doesn't normally do with this application. Did she make a mistake? Did she say reply all on this, which was sending inside data to outside people on the email list? Do I at least want to ask her? Hey, Lisa, did you mean to do that?" So if you can educate people to say this is the organization looking out for you, it's looking over your shoulder as a friend. It's not here to be checking up on you. Language matters, and it's like we call things insider threat, recognizing that far more damage in an organization happens from people making mistakes. It's insider risk that we need to manage. An organization of any appreciable size has bad apples. That's just a law of nature. But when we call it.... I'm dealing with the insider threat. I've been in government. I've been shot at in some of my dicey situations. I want to avoid being attacked. I want to avoid threats. If I'm an organization, I don't want to avoid my insiders. That's my workforce. That's my biggest asset. They bring risk by their behavior. I need to manage that, but that's constructive. Don't make an adversarial by typecasting them all as threats. They're humans. They make mistakes. You can help them avoid some of those mistakes through technology, and zero trust gets into that. >> Got it. And then last question for you. Here we are, July 1st, crazy. Half a year has gone already. What are some of the things that you're expecting that are going to happen the rest of the year? What can organizations... You talked about some of the things they can implement now. Some of the things seems to be sort of like back to basics. But anything that you see on the horizon in the next six to nine months that organizations really need to be focused on? >> So as they put together their posture for operating in the new normal, I said security and IT were successful in getting us where we got in the pivot to remote telework because they worked hand in hand. So find things like that that you can use to demonstrate to your organization that you really are in the middle of the mix. So as we make this pivot to software defined networking. Because again, if we're going back to offices that are different, places with different kinds of infrastructure, we don't want to pull cable. We don't want to do that. Software-defined networking is a good way to do it, and there are different ways to do software-defined networking, some of which are inherently secure. So pick that one. In software-defined networking, the users love the fact that it gives them better latency, better performance on the apps they care about. The front office likes the fact that they get flexibility for continuity of operations, and they save money. This is the example of something that you can pick that allows you to say, "I'm giving you great performance and great security." Cloud is the same way. People understand I think at this point how to operate in a cloud, the challenge comes in saying, "I'm operating in multiple clouds." I need to say I don't really care. I don't really care where the data go or the compute resource is. I just need to connect the user, the device, data, and resources, regardless of location. And that's where this big approach to say, you know, it's about convergence. It's about convergence of IT and security, and really it's about convergence of computing to say, "I don't care if it's edge computing, or cloud computing, or work from home." It's all just computing, and we've got to connect, and we've got to enable that to be secure. That's the priority that if you take that mindset, thinking about the problem going forward, I think will allow CIOs and CISOs to say, "Look, we're making a difference for the organization, performance, cost, and security." >> Performance, cost, and security. It also sounds like a bit of a cultural change there, which is always challenging, but certainly that convergence as you mentioned, we've seen it be successful, and it's something that sounds now more important than ever. Jim, thank you so much for joining me on the program today, sharing all of your insights, some of the things that you're seeing in what organizations can do to protect themselves from this big threat of ransomware that probably isn't going anywhere anytime soon. >> I wouldn't expect it to, but it's been a pleasure talking to you, Lisa, and we'll have to look back and see how accurate we were with this crystal ball. >> Good, yeah. Jim, great to have you on the program. For Jim Richberg, I'm Lisa Martin. You're watching this Cube Conversation. (gentle music)

Published Date : Jul 8 2021

SUMMARY :

Welcome to the program. But one of the things that... and the reality is you weren't. but one of the things I want to get your commoditized the ability to do it, of the executive orders, the executive branch to behave. that is often the cause outside people on the email list? Some of the things seems to be the pivot to remote telework some of the things that you're seeing talking to you, Lisa, Jim, great to have you on the program.

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Maria Colgan & Gerald Venzl, Oracle | June CUBEconversation


 

(upbeat music) Developers have become the new king makers in the world of digital and cloud. The rise of containers and microservices has accelerated the transition to cloud native applications. A lot of people will talk about application architecture and the related paradigms and the benefits they bring for the process of writing and delivering new apps. But a major challenge continues to be, the how and the what when it comes to accessing, processing and getting insights from the massive amounts of data that we have to deal with in today's world. And with me are two experts from the data management world who will share with us how they think about the best techniques and practices based on what they see at large organizations who are working with data and developing so-called data-driven apps. Please welcome Maria Colgan and Gerald Venzl, two distinguish product managers from Oracle. Folks, welcome, thanks so much for coming on. >> Thanks for having us Dave. >> Thank you very much for having us. >> Okay, Maria let's start with you. So, we throw around this term data-driven, data-driven applications. What are we really talking about there? >> So data-driven applications are applications that work on a diverse set of data. So anything from spatial to sensor data, document data as well as your usual transaction processing data. And what they're going to do is they'll generate value from that data in very different ways to a traditional application. So for example, they may use machine learning, they are able to do product recommendations in the middle of a transaction. Or we could use graph to be able to identify an influencer within the community so we can target them with a specific promotion. It could also use spatial data to be able to help find the nearest stores to a particular customer. And because these apps are deployed on multiple platforms, everything from mobile devices as well as standard browsers, they need a data platform that's going to be both secure, reliable and scalable. >> Well, so when you think about how the workloads are shifting I mean, we're not talking about, you know it's not anymore a world of just your ERP or your HCM or your CRM, you know kind of the traditional operational systems. You really are seeing an explosion of these new data oriented apps. You're seeing, you know, modeling in the cloud, you are going to see more and more inferencing, inferencing at the edge. But Maria maybe you could talk a little bit about sort of the benefits that customers are seeing from developing these types of applications. I mean, why should people care about data-driven apps? >> Oh, for sure, there's massive benefits to them. I mean, probably the most obvious one for any business regardless of the industry, is that they not only allow you to understand what your customers are up to, but they allow you to be able to anticipate those customer's needs. So that helps businesses maintain that competitive edge and retain their customers. But it also helps them make data-driven decisions in real time based on actual data rather than on somebody's gut feeling or basing those decisions on historical data. So for example, you can do real-time price adjustments on products based on demand and so forth, that kind of thing. So it really changes the way people do business today. >> So Gerald, you think about the narrative in the industry everybody wants to be a platform player all your customers they are becoming software companies, they are becoming platform players. Everybody wants to be like, you know name a company that is huge trillion dollar market cap or whatever, and those are data-driven companies. And so it would seem to me that data-driven applications, there's nobody, no company really shouldn't be data-driven. Do you buy that? >> Yeah, absolutely. I mean, data-driven, and that naturally the whole industry is data-driven, right? It's like we all have information technologies about processing data and deriving information out of it. But when it comes to app development I think there is a big push to kind of like we have to do machine learning in our applications, we have to get insights from data. And when you actually look back a bit and take a step back, you see that there's of course many different kinds of applications out there as well that's not to be forgotten, right? So there is a usual front end user interfaces where really the application all it does is just entering some piece of information that's stored somewhere or perhaps a microservice that's not attached to a data to you at all but just receives or asks calls (indistinct). So I think it's not necessarily so important for every developer to kind of go on a bandwagon that they have to be data-driven. But I think it's equally important for those applications and those developers that build applications, that drive the business, that make business critical decisions as Maria mentioned before. Those guys should take really a close look into what data-driven apps means and what the data to you can actually give to them. Because what we see also happening a lot is that a lot of the things that are well known and out there just ready to use are being reimplemented in the applications. And for those applications, they essentially just ended up spending more time writing codes that will be already there and then have to maintain and debug the code as well rather than just going to market faster. >> Gerald can you talk to the prevailing approaches that developers take to build data-driven applications? What are the ones that you see? Let's dig into that a little bit more and maybe differentiate the different approaches and talk about that? >> Yeah, absolutely. I think right now the industry is like in two camps, it's like sort of a religious war going on that you'll see often happening with different architectures and so forth going on. So we have single purpose databases or data management technologies. Which are technologies that are as the name suggests build around a single purpose. So it's like, you know a typical example would be your ordinary key-value store. And a key-value store all it does is it allows you to store and retrieve a piece of data whatever that may be really, really fast but it doesn't really go beyond that. And then the other side of the house or the other camp would be multimodal databases, multimodal data management technologies. Those are technologies that allow you to store different types of data, different formats of data in the same technology in the same system alongside. And, you know, when you look at the geographics out there of what we have from technology, is pretty much any relational database or any database really has evolved into such a multimodal database. Whether that's MySQL that allows you to store or chase them alongside relational or even a MongoDB that allows you to do or gives you native graph support since (mumbles) and as well alongside the adjacent support. >> Well, it's clearly a trend in the industry. We've talked about this a lot in The Cube. We know where Oracle stands on this. I mean, you just mentioned MySQL but I mean, Oracle Databases you've been extending, you've mentioned JSON, we've got blockchain now in there you're infusing, you know ML and AI into the database, graph database capabilities, you know on and on and on. We talked a lot about we compared that to Amazon which is kind of the right tool, the right job approach. So maybe you could talk about, you know, your point of view, the benefits for developers of using that converged database if I can use that word approach being able to store multiple data formats? Why do you feel like that's a better approach? >> Yeah, I think on a high level it comes down to complexity. You are actually avoiding additional complexity, right? So not every use case that you have necessarily warrants to have yet another data management technology or yet the special build technology for managing that data, right? It's like many use cases that we see out there happily want to just store a piece of a chase and document, a piece of chase in a database and then perhaps retrieve it again afterwards so write some simple queries over it. And you really don't have to get a new database technology or a NoSQL database into the mix if you already have some to just fulfill that exact use case. You could just happily store that information as well in the database you already have. And what it really comes down to is the learning curve for developers, right? So it's like, as you use the same technology to store other types of data, you don't have to learn a new technology, you don't have to associate yourself with new and learn new drivers. You don't have to find new frameworks and you don't have to know how to necessarily operate or best model your data for that database. You can essentially just reuse your knowledge of the technology as well as the libraries and code you have already built in house perhaps in another application, perhaps, you know framework that you used against the same technology because it is still the same technology. So, kind of all comes down again to avoiding complexity rather than not fragmenting you know, the many different technologies we have. If you were to look at the different data formats that are out there today it's like, you know, you would end up with many different databases just to store them if you were to fully religiously follow the single purpose best built technology for every use case paradigm, right? And then you would just end up having to manage many different databases more than actually focusing on your app and getting value to your business or to your user. >> Okay, so I get that and I buy that by the way. I mean, especially if you're a larger organization and you've got all these projects going on but before we go back to Maria, Gerald, I want to just, I want to push on that a little bit. Because the counter to that argument would be in the analogy. And I wonder if you, I'd love for you to, you know knock this analogy off the blocks. The counter would be okay, Oracle is the Swiss Army knife and it's got, you know, all in one. But sometimes I need that specialized long screwdriver and I go into my toolbox and I grab that. It's better than the screwdriver in my Swiss Army knife. Why, are you the Swiss Army knife of databases? Or are you the all-in-one have that best of breed screwdriver for me? How do you think about that? >> Yeah, that's a fantastic question, right? And I think it's first of all, you have to separate between Oracle the company that has actually multiple data management technologies and databases out there as you said before, right? And Oracle Database. And I think Oracle Database is definitely a Swiss Army knife has many capabilities of since the last 40 years, you know that we've seen object support coming that's still in the Oracle Database today. We have seen XML coming, it's still in the Oracle Database, graph, spatial, et cetera. And so you have many different ways of managing your data and then on top of that going into the converge, not only do we allow you to store the different data model in there but we actually allow you also to, you apply all the security policies and so forth on top of it something Maria can talk more about the mission around converged database. I would also argue though that for some aspects, we do actually have to or add a screwdriver that you talked about as well. So especially in the relational world people get very quickly hung up on this idea that, oh, if you only do rows and columns, well, that's kind of what you put down on disk. And that was never true, it's the relational model is actually a logical model. What's probably being put down on disk is blocks that align themselves nice with block storage and always has been. So that allows you to actually model and process the data sort of differently. And one common example or one good example that we have that we introduced a couple of years ago was when, column and databases were very strong and you know, the competition came it's like, yeah, we have In-Memory column that stores now they're so much better. And we were like, well, orienting the data role-based or column-based really doesn't matter in the sense that we store them as blocks on disks. And so we introduced the in memory technology which gives you an In-Memory column, a representation of your data as well alongside your relational. So there is an example where you go like, well, actually you know, if you have this use case of the column or analytics all In-Memory, I would argue Oracle Database is also that screwdriver you want to go down to and gives you that capability. Because not only gives you representation in columnar, but also which many people then forget all the analytic power on top of SQL. It's one thing to store your data columnar, it's a completely different story to actually be able to run analytics on top of that and having all the built-in functionalities and stuff that you want to do with the data on top of it as you analyze it. >> You know, that's a great example, the kilometer 'cause I remember there was like a lot of hype around it. Oh, it's the Oracle killer, you know, at Vertica. Vertica is still around but, you know it never really hit escape velocity. But you know, good product, good company, whatever. Natezza, it kind of got buried inside of IBM. ParXL kind of became, you know, red shift with that deal so that kind of went away. Teradata bought a company, I forget which company it bought but. So that hype kind of disapated and now it's like, oh yeah, columnar. It's kind of like In-Memory, we've had a In-Memory databases ever since we've had databases you know, it's a kind of a feature not a sector. But anyway, Maria, let's come back to you. You've got a lot of customer experience. And you speak with a lot of companies, you know during your time at Oracle. What else are you seeing in terms of the benefits to this approach that might not be so intuitive and obvious right away? >> I think one of the biggest benefits to having a multimodel multiworkload or as we call it a converged database, is the fact that you can get greater data synergy from it. In other words, you can utilize all these different techniques and data models to get better value out of that data. So things like being able to do real-time machine learning, fraud detection inside a transaction or being able to do a product recommendation by accessing three different data models. So for example, if I'm trying to recommend a product for you Dave, I might use graph analytics to be able to figure out your community. Not just your friends, but other people on our system who look and behave just like you. Once I know that community then I can go over and see what products they bought by looking up our product catalog which may be stored as JSON. And then on top of that I can then see using the key-value what products inside that catalog those community members gave a five star rating to. So that way I can really pinpoint the right product for you. And I can do all of that in one transaction inside the database without having to transform that data into different models or God forbid, access different systems to be able to get all of that information. So it really simplifies how we can generate that value from the data. And of course, the other thing our customers love is when it comes to deploying data-driven apps, when you do it on a converged database it's much simpler because it is that standard data platform. So you're not having to manage multiple independent single purpose databases. You're not having to implement the security and the high availability policies, you know across a bunch of different diverse platforms. All of that can be done much simpler with a converged database 'cause the DBA team of course, is going to just use that standard set of tools to manage, monitor and secure those systems. >> Thank you for that. And you know, it's interesting, you talk about simplification and you are in Juan's organization so you've big focus on mission critical. And so one of the things that I think is often overlooked well, we talk about all the time is recovery. And if things are simpler, recovery is faster and easier. And so it's kind of the hallmark of Oracle is like the gold standard of the toughest apps, the most mission critical apps. But I wanted to get to the cloud Maria. So because everything is going to the cloud, right? Not all workloads are going to the cloud but everybody is talking about the cloud. Everybody has cloud first mentality and so yes, it's a hybrid world. But the natural next question is how do you think the cloud fits into this world of data-driven apps? >> I think just like any app that you're developing, the cloud helps to accelerate that development. And of course the deployment of these data-driven applications. 'Cause if you think about it, the developer is instantly able to provision a converged database that Oracle will automatically manage and look after for them. But what's great about doing something like that if you use like our autonomous database service is that it comes in different flavors. So you can get autonomous transaction processing, data warehousing or autonomous JSON so that the developer is going to get a database that's been optimized for their specific use case, whatever they are trying to solve. And it's also going to contain all of that great functionality and capabilities that we've been talking about. So what that really means to the developer though is as the project evolves and inevitably the business needs change a little, there's no need to panic when one of those changes comes in because your converged database or your autonomous database has all of those additional capabilities. So you can simply utilize those to able to address those evolving changes in the project. 'Cause let's face it, none of us normally know exactly what we need to build right at the very beginning. And on top of that they also kind of get a built-in buddy in the cloud, especially in the autonomous database. And that buddy comes in the form of built-in workload optimizations. So with the autonomous database we do things like automatic indexing where we're using machine learning to be that buddy for the developer. So what it'll do is it'll monitor the workload and see what kind of queries are being run on that system. And then it will actually determine if there are indexes that should be built to help improve the performance of that application. And not only does it bill those indexes but it verifies that they help improve the performance before publishing it to the application. So by the time the developer is finished with that app and it's ready to be deployed, it's actually also been optimized by the developers buddy, the Oracle autonomous database. So, you know, it's a really nice helping hand for developers when they're building any app especially data-driven apps. >> I like how you sort of gave us, you know the truth here is you don't always know where you're going when you're building an app. It's like it goes from you are trying to build it and they will come to start building it and we'll figure out where it's going to go. With Agile that's kind of how it works. But so I wonder, can you give some examples of maybe customers or maybe genericize them if you need to. Data-driven apps in the cloud where customers were able to drive more efficiency, where the cloud buddy allowed the customers to do more with less? >> No, we have tons of these but I'll try and keep it to just a couple. One that comes to mind straight away is retrace. These folks built a blockchain app in the Oracle Cloud that allows manufacturers to actually share the supply chain with the consumer. So the consumer can see exactly, who made their product? Using what raw materials? Where they were sourced from? How it was done? All of that is visible to the consumer. And in order to be able to share that they had to work on a very diverse set of data. So they had everything from JSON documents to images as well as your traditional transactions in there. And they store all of that information inside the Oracle autonomous database, they were able to build their app and deploy it on the cloud. And they were able to do all of that very, very quickly. So, you know, that ability to work on multiple different data types in a single database really helped them build that product and get it to market in a very short amount of time. Another customer that's doing something really, really interesting is MindSense. So these guys operate the largest mines in Canada, Chile, and Peru. But what they do is they put these x-ray devices on the massive mechanical shovels that are at the cove or at the mine face. And what that does is it senses the contents of the buckets inside these mining machines. And it's looking to see at that content, to see how it can optimize the processing of the ore inside in that bucket. So they're looking to minimize the amount of power and water that it's going to take to process that. And also of course, minimize the amount of waste that's going to come out of that project. So all of that sensor data is sent into an autonomous database where it's going to be processed by a whole host of different users. So everything from the mine engineers to the geo scientists, to even their own data scientists utilize that data to drive their business forward. And what I love about these guys is they're not happy with building just one app. MindSense actually use our built-in low core development environment, APEX that comes as part of the autonomous database and they actually produce applications constantly for different aspects of their business using that technology. And it's actually able to accelerate those new apps to the business. It takes them now just a couple of days or weeks to produce an app instead of months or years to build those new apps. >> Great, thank you for that Maria. Gerald, I'm going to push you again. So, I said upfront and talked about microservices and the cloud and containers and you know, anybody in the developer space follows that very closely. But some of the things that we've been talking about here people might look at that and say, well, they're kind of antithetical to microservices. This is our Oracles monolithic approach. But when you think about the benefits of microservices, people want freedom of choice, technology choice, seen as a big advantage of microservices and containers. How do you address such an argument? >> Yeah, that's an excellent question and I get that quite often. The microservices architecture in general as I said before had architectures, Linux distributions, et cetera. It's kind of always a bit of like there's an academic approach and there's a pragmatic approach. And when you look at the microservices the original definitions that came out at the early 2010s. They actually never said that each microservice has to have a database. And they also never said that if a microservice has a database, you have to use a different technology for each microservice. Just like they never said, you have to write a microservice in a different programming language, right? So where I'm going with this is like, yes you know, sometimes when you look at some vendors out there, some niche players, they push this message or they jump on this academic approach of like each microservice has the best tool at hand or I'd use a different database for your purpose, et cetera. Which almost often comes across like us. You know, we want to stay part of the conversation. Nothing stops a developer from, you know using a multimodal database for the microservice and just using that as a document store, right? Or just using that as a relational database. And, you know, sometimes I mean, it was actually something that happened that was really interesting yesterday I don't know whether you follow Dave or not. But Facebook had an outage yesterday, right? And Facebook is one of those companies that are seen as the Silicon Valley, you know know how to do microservices companies. And when you add through the outage, well, what happened, right? Some unfortunate logical error with configuration as a force that took a database cluster down. So, you know, there you have it where you go like, well, maybe not every microservice is actually in fact talking to its own database or its own special purpose database. I think there, you know, well, what we should, the industry should be focusing much more on this argument of which technology to use? What's the right tool for a job? Is more to ask themselves, what business problem actually are we trying to solve? And therefore what's the right approach and the right technology for this. And so therefore, just as I said before, you know multimodal databases they do have strong benefits. They have many built-in functionalities that are already there and they allow you to reduce this complexity of having to know many different technologies, right? And so it's not only to store different data models either you know, treat a multimodal database as a chasing documents store or a relational database but most databases are multimodal since 20 plus years. But it's also actually being able to perhaps if you store that data together, you can perhaps actually derive additional value for somebody else but perhaps not for your application. But like for example, if you were to use Oracle Database you can actually write queries on top of all of that data. It doesn't really matter for our query engine whether it's the data is format that then chase or the data is formatted in rows and columns you can just rather than query over it. And that's actually very powerful for those guys that have to, you know get the reporting done the end of the day, the end of the week. And for those guys that are the data scientists that they want to figure out, you know which product performed really well or can we tweak something here and there. When you look into that space you still see a huge divergence between the guys to put data in kind of the altarpiece style and guys that try to derive new insights. And there's still a lot of ETL going around and, you know we have big data technologies that some of them come and went and some of them came in that are still around like Apache Spark which is still like a SQL engine on top of any of your data kind of going back to the same concept. And so I will say that, you know, for developers when we look at microservices it's like, first of all, is the argument you were making because the vendor or the technology you want to use tells you this argument or, you know, you kind of want to have an argument to use a specific technology? Or is it really more because it is the best technology, to best use for this given use case for this given application that you have? And if so there's of course, also nothing wrong to use a single purpose technology either, right? >> Yeah, I mean, whenever I talk about Oracle I always come back to the most important applications, the mission critical. It's very difficult to architect databases with microservices and containers. You have to be really, really careful. And so and again, it comes back to what we were talking before about with Maria that the complexity and the recovery. But Gerald I want to stay with you for a minute. So there's other data management technologies popping out there. I mean, I've seen some people saying, okay just leave the data in an S3 bucket. We can query that, then we've got some magic sauce to do that. And so why are you optimistic about you know, traditional database technology going forward? >> I would say because of the history of databases. So one thing that once struck me when I came to Oracle and then got to meet great people like Juan Luis and Andy Mendelsohn who had been here for a long, long time. I come to realization that relational databases are around for about 45 years now. And, you know, I was like, I'm too young to have been around then, right? So I was like, what else was around 45 years? It's like just the tech stack that we have today. It's like, how does this look like? Well, Linux only came out in 93. Well, databases pre-date Linux a lot rather than as I started digging I saw a lot of technologies come and go, right? And you mentioned before like the technologies that data management systems that we had that came and went like the columnar databases or XML databases, object databases. And even before relational databases before Cot gave us the relational model there were apparently these networks stores network databases which to some extent look very similar to adjacent documents. There wasn't a harder storing data and a hierarchy to format. And, you know when you then start actually reading the Cot paper and diving a little bit more into the relation model, that's I think one important crux in there that most of the industry keeps forgetting or it hasn't been around to even know. And that is that when Cot created the relational model, he actually focused not so much on the application putting the data in, but on future users and applications still being able to making sense out of the data, right? And that's kind of like I said before we had those network models, we had XML databases you have adjacent documents stores. And the one thing that they all have along with it is like the application that puts the data in decides the structure of the data. And that's all well and good if you had an application of the developer writing an application. It can become really tricky when 10 years later you still want to look at that data and the application that the developer is no longer around then you go like, what does this all mean? Where is the structure defined? What is this attribute? What does it mean? How does it correlate to others? And the one thing that people tend to forget is that it's actually the data that's here to stay not someone who does the applications where it is. Ideally, every company wants to store every single byte of data that they have because there might be future value in it. Economically may not make sense that's now much more feasible than just years ago. But if you could, why wouldn't you want to store all your data, right? And sometimes you actually have to store the data for seven years or whatever because the laws require you to. And so coming back then and you know, like 10 years from now and looking at the data and going like making sense of that data can actually become a lot more difficult and a lot more challenging than having to first figure out and how we store this data for general use. And that kind of was what the relational model was all about. We decompose the data structures into tables and columns with relationships amongst each other so therefore between each other. So that therefore if somebody wants to, you know typical example would be well you store some purchases from your web store, right? There's a customer attribute in it. There's some credit card payment information in it, just some product information on what the customer bought. Well, in the relational model if you just want to figure out which products were sold on a given day or week, you just would query the payment and products table to get the sense out of it. You don't need to touch the customer and so forth. And with the hierarchical model you have to first sit down and understand how is the structure, what is the customer? Where is the payment? You know, does the document start with the payment or does it start with the customer? Where do I find this information? And then in the very early days those databases even struggled to then not having to scan all the documents to get the data out. So coming back to your question a bit, I apologize for going on here. But you know, it's like relational databases have been around for 45 years. I actually argue it's one of the most successful software technologies that we have out there when you look in the overall industry, right? 45 years is like, in IT terms it's like from a star being the ones who are going supernova. You have said it before that many technologies coming and went, right? And just want to add a more really interesting example by the way is Hadoop and HDFS, right? They kind of gave us this additional promise of like, you know, the 2010s like 2012, 2013 the hype of Hadoop and so forth and (mumbles) and HDFS. And people are just like, just put everything into HDFS and worry about the data later, right? And we can query it and map reduce it and whatever. And we had customers actually coming to us they were like, great we have half a petabyte of data on an HDFS cluster and we have no clue what's stored in there. How do we figure this out? What are we going to do now? Now you had a big data cleansing problem. And so I think that is why databases and also data modeling is something that will not go away anytime soon. And I think databases and database technologies are here for quite a while to stay. Because many of those are people they don't think about what's happening to the data five years from now. And many of the niche players also and also frankly even Amazon you know, following with this single purpose thing is like, just use the right tool for the job for your application, right? Just pull in the data there the way you wanted. And it's like, okay, so you use technologies all over the place and then five years from now you have your data fragmented everywhere in different formats and, you know inconsistencies, and, and, and. And those are usually when you come back to this data-driven business critical business decision applications the worst case scenario you can have, right? Because now you need an army of people to actually do data cleansing. And there's not a coincidence that data science has become very, very popular the last recent years as we kind of went on with this proliferation of different database or data management technologies some of those are not even database. But I think I leave it at that. >> It's an interesting talk track because you're right. I mean, no schema on right was alluring, but it definitely created some problems. It also created an entire, you know you referenced the hyper specialized roles and did the data cleansing component. I mean, maybe technology will eventually solve that problem but it hasn't up at least up tonight. Okay, last question, Maria maybe you could start off and Gerald if you want to chime in as well it'd be great. I mean, it's interesting to watch this industry when Oracle sort of won the top database mantle. I mean, I watched it, I saw it. It was, remember it was Informix and it was (indistinct) too and of course, Microsoft you got to give them credit with SQL server, but Oracle won the database wars. And then everything got kind of quiet for awhile database was sort of boring. And then it exploded, you know, all the, you know not only SQL and the key-value stores and the cloud databases and this is really a hot area now. And when we looked at Oracle we said, okay, Oracle it's all about Oracle Database, but we've seen the kind of resurgence in MySQL which everybody thought, you know once Oracle bought Sun they were going to kill MySQL. But now we see you investing in HeatWave, TimesTen, we talked about In-Memory databases before. So where do those fit in Maria in the grand scheme? How should we think about Oracle's database portfolio? >> So there's lots of places where you'd use those different things. 'Cause just like any other industry there are going to be new and boutique use cases that are going to benefit from a more specialized product or single purpose product. So good examples off the top of my head of the kind of systems that would benefit from that would be things like a stock exchange system or a telephone exchange system. Both of those are latency critical transaction processing applications where they need microsecond response times. And that's going to exceed perhaps what you might normally get or deploy with a converged database. And so Oracle's TimesTen database our In-Memory database is perfect for those kinds of applications. But there's also a host of MySQL applications out there today and you said it yourself there Dave, HeatWave is a great place to provision and deploy those kinds of applications because it's going to run 100 times faster than AWS (mumbles). So, you know, there really is a place in the market and in our customer's systems and the needs they have for all of these different members of our database family here at Oracle. >> Yeah, well, the internet is basically running in the lamp stack so I see MySQL going away. All right Gerald, will give you the final word, bring us home. >> Oh, thank you very much. Yeah, I mean, as Maria said, I think it comes back to what we discussed before. There is obviously still needs for special technologies or different technologies than a relational database or multimodal database. Oracle has actually many more databases that people may first think of. Not only the three that we have already mentioned but there's even SP so the Oracle's NoSQL database. And, you know, on a high level Oracle is a data management company, right? And we want to give our customers the best tools and the best technology to manage all of their data. Rather than therefore there has to be a need or there should be a part of the business that also focuses on this highly specialized systems and this highly specialized technologies that address those use cases. And I think it makes perfect sense. It's like, you know, when the customer comes to Oracle they're not only getting this, take this one product you know, and if you don't like it your problem but actually you have choice, right? And choice allows you to make a decision based on what's best for you and not necessarily best for the vendor you're talking to. >> Well guys, really appreciate your time today and your insights. Maria, Gerald, thanks so much for coming on The Cube. >> Thank you very much for having us. >> And thanks for watching this Cube conversation this is Dave Vellante and we'll see you next time. (upbeat music)

Published Date : Jun 24 2021

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in the world of digital and cloud. and the benefits they bring What are we really talking about there? the nearest stores to kind of the traditional So it really changes the way So Gerald, you think about to you at all but just receives or even a MongoDB that allows you to do ML and AI into the database, in the database you already have. and I buy that by the way. of since the last 40 years, you know the benefits to this approach is the fact that you can get And so one of the things that And that buddy comes in the form of the truth here is you don't and deploy it on the cloud. and the cloud and containers and you know, is the argument you were making that the complexity and the recovery. because the laws require you to. And then it exploded, you and the needs they have in the lamp stack so I and the best technology to and your insights. we'll see you next time.

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Maria Colgan & Gerald Venzl, Oracle | June CUBEconversation


 

(upbeat music) >> It'll be five, four, three and then silent two, one, and then you guys just follow my lead. We're just making some last minute adjustments. Like I said, we're down two hands today. So, you good Alex? Okay, are you guys ready? >> I'm ready. >> Ready. >> I got to get get one note here. >> So I noticed Maria you stopped anyway, so I have time. >> Just so they know Dave and the Boston Studio, are they both kind of concurrently be on film even when they're not speaking or will only the speaker be on film for like if Gerald's drawing while Maria is talking about-- >> Sorry but then I missed one part of my onboarding spiel. There should be, if you go into gallery there should be a label. There should be something labeled Boston live switch feed. If you pin that gallery view you'll see what our program currently being recorded is. So any time you don't see yourself on that feed is an excellent time to take a drink of water, scratch your nose, check your notes. Do whatever you got to do off screen. >> Can you give us a three shot, Alex? >> Yes, there it is. >> And then go to me, just give me a one-shot to Dave. So when I'm here you guys can take a drink or whatever >> That makes sense? >> Yeah. >> Excellent, I will get my recordings restarted and we'll open up when Dave's ready. >> All right, you guys ready? >> Ready. >> All right Steve, you go on mute. >> Okay, on me in 5, 4, 3. Developers have become the new king makers in the world of digital and cloud. The rise of containers and microservices has accelerated the transition to cloud native applications. A lot of people will talk about application architecture and the related paradigms and the benefits they bring for the process of writing and delivering new apps. But a major challenge continues to be, the how and the what when it comes to accessing, processing and getting insights from the massive amounts of data that we have to deal with in today's world. And with me are two experts from the data management world who will share with us how they think about the best techniques and practices based on what they see at large organizations who are working with data and developing so-called data-driven apps. Please welcome Maria Colgan and Gerald Venzl, two distinguish product managers from Oracle. Folks, welcome, thanks so much for coming on. >> Thanks for having us Dave. >> Thank you very much for having us. >> Okay, Maria let's start with you. So, we throw around this term data-driven, data-driven applications. What are we really talking about there? >> So data-driven applications are applications that work on a diverse set of data. So anything from spatial to sensor data, document data as well as your usual transaction processing data. And what they're going to do is they'll generate value from that data in very different ways to a traditional application. So for example, they may use machine learning, they are able to do product recommendations in the middle of a transaction. Or we could use graph to be able to identify an influencer within the community so we can target them with a specific promotion. It could also use spatial data to be able to help find the nearest stores to a particular customer. And because these apps are deployed on multiple platforms, everything from mobile devices as well as standard browsers, they need a data platform that's going to be both secure, reliable and scalable. >> Well, so when you think about how the workloads are shifting I mean, we're not talking about, you know it's not anymore a world of just your ERP or your HCM or your CRM, you know kind of the traditional operational systems. You really are seeing an explosion of these new data oriented apps. You're seeing, you know, modeling in the cloud, you are going to see more and more inferencing, inferencing at the edge. But Maria maybe you could talk a little bit about sort of the benefits that customers are seeing from developing these types of applications. I mean, why should people care about data-driven apps? >> Oh, for sure, there's massive benefits to them. I mean, probably the most obvious one for any business regardless of the industry, is that they not only allow you to understand what your customers are up to, but they allow you to be able to anticipate those customer's needs. So that helps businesses maintain that competitive edge and retain their customers. But it also helps them make data-driven decisions in real time based on actual data rather than on somebody's gut feeling or basing those decisions on historical data. So for example, you can do real-time price adjustments on products based on demand and so forth, that kind of thing. So it really changes the way people do business today. >> So Gerald, you think about the narrative in the industry everybody wants to be a platform player all your customers they are becoming software companies, they are becoming platform players. Everybody wants to be like, you know name a company that is huge trillion dollar market cap or whatever, and those are data-driven companies. And so it would seem to me that data-driven applications, there's nobody, no company really shouldn't be data-driven. Do you buy that? >> Yeah, absolutely. I mean, data-driven, and that naturally the whole industry is data-driven, right? It's like we all have information technologies about processing data and deriving information out of it. But when it comes to app development I think there is a big push to kind of like we have to do machine learning in our applications, we have to get insights from data. And when you actually look back a bit and take a step back, you see that there's of course many different kinds of applications out there as well that's not to be forgotten, right? So there is a usual front end user interfaces where really the application all it does is just entering some piece of information that's stored somewhere or perhaps a microservice that's not attached to a data to you at all but just receives or asks calls (indistinct). So I think it's not necessarily so important for every developer to kind of go on a bandwagon that they have to be data-driven. But I think it's equally important for those applications and those developers that build applications, that drive the business, that make business critical decisions as Maria mentioned before. Those guys should take really a close look into what data-driven apps means and what the data to you can actually give to them. Because what we see also happening a lot is that a lot of the things that are well known and out there just ready to use are being reimplemented in the applications. And for those applications, they essentially just ended up spending more time writing codes that will be already there and then have to maintain and debug the code as well rather than just going to market faster. >> Gerald can you talk to the prevailing approaches that developers take to build data-driven applications? What are the ones that you see? Let's dig into that a little bit more and maybe differentiate the different approaches and talk about that? >> Yeah, absolutely. I think right now the industry is like in two camps, it's like sort of a religious war going on that you'll see often happening with different architectures and so forth going on. So we have single purpose databases or data management technologies. Which are technologies that are as the name suggests build around a single purpose. So it's like, you know a typical example would be your ordinary key-value store. And a key-value store all it does is it allows you to store and retrieve a piece of data whatever that may be really, really fast but it doesn't really go beyond that. And then the other side of the house or the other camp would be multimodal databases, multimodal data management technologies. Those are technologies that allow you to store different types of data, different formats of data in the same technology in the same system alongside. And, you know, when you look at the geographics out there of what we have from technology, is pretty much any relational database or any database really has evolved into such a multimodal database. Whether that's MySQL that allows you to store or chase them alongside relational or even a MongoDB that allows you to do or gives you native graph support since (mumbles) and as well alongside the adjacent support. >> Well, it's clearly a trend in the industry. We've talked about this a lot in The Cube. We know where Oracle stands on this. I mean, you just mentioned MySQL but I mean, Oracle Databases you've been extending, you've mentioned JSON, we've got blockchain now in there you're infusing, you know ML and AI into the database, graph database capabilities, you know on and on and on. We talked a lot about we compared that to Amazon which is kind of the right tool, the right job approach. So maybe you could talk about, you know, your point of view, the benefits for developers of using that converged database if I can use that word approach being able to store multiple data formats? Why do you feel like that's a better approach? >> Yeah, I think on a high level it comes down to complexity. You are actually avoiding additional complexity, right? So not every use case that you have necessarily warrants to have yet another data management technology or yet the special build technology for managing that data, right? It's like many use cases that we see out there happily want to just store a piece of a chase and document, a piece of chase in a database and then perhaps retrieve it again afterwards so write some simple queries over it. And you really don't have to get a new database technology or a NoSQL database into the mix if you already have some to just fulfill that exact use case. You could just happily store that information as well in the database you already have. And what it really comes down to is the learning curve for developers, right? So it's like, as you use the same technology to store other types of data, you don't have to learn a new technology, you don't have to associate yourself with new and learn new drivers. You don't have to find new frameworks and you don't have to know how to necessarily operate or best model your data for that database. You can essentially just reuse your knowledge of the technology as well as the libraries and code you have already built in house perhaps in another application, perhaps, you know framework that you used against the same technology because it is still the same technology. So, kind of all comes down again to avoiding complexity rather than not fragmenting you know, the many different technologies we have. If you were to look at the different data formats that are out there today it's like, you know, you would end up with many different databases just to store them if you were to fully religiously follow the single purpose best built technology for every use case paradigm, right? And then you would just end up having to manage many different databases more than actually focusing on your app and getting value to your business or to your user. >> Okay, so I get that and I buy that by the way. I mean, especially if you're a larger organization and you've got all these projects going on but before we go back to Maria, Gerald, I want to just, I want to push on that a little bit. Because the counter to that argument would be in the analogy. And I wonder if you, I'd love for you to, you know knock this analogy off the blocks. The counter would be okay, Oracle is the Swiss Army knife and it's got, you know, all in one. But sometimes I need that specialized long screwdriver and I go into my toolbox and I grab that. It's better than the screwdriver in my Swiss Army knife. Why, are you the Swiss Army knife of databases? Or are you the all-in-one have that best of breed screwdriver for me? How do you think about that? >> Yeah, that's a fantastic question, right? And I think it's first of all, you have to separate between Oracle the company that has actually multiple data management technologies and databases out there as you said before, right? And Oracle Database. And I think Oracle Database is definitely a Swiss Army knife has many capabilities of since the last 40 years, you know that we've seen object support coming that's still in the Oracle Database today. We have seen XML coming, it's still in the Oracle Database, graph, spatial, et cetera. And so you have many different ways of managing your data and then on top of that going into the converge, not only do we allow you to store the different data model in there but we actually allow you also to, you apply all the security policies and so forth on top of it something Maria can talk more about the mission around converged database. I would also argue though that for some aspects, we do actually have to or add a screwdriver that you talked about as well. So especially in the relational world people get very quickly hung up on this idea that, oh, if you only do rows and columns, well, that's kind of what you put down on disk. And that was never true, it's the relational model is actually a logical model. What's probably being put down on disk is blocks that align themselves nice with block storage and always has been. So that allows you to actually model and process the data sort of differently. And one common example or one good example that we have that we introduced a couple of years ago was when, column and databases were very strong and you know, the competition came it's like, yeah, we have In-Memory column that stores now they're so much better. And we were like, well, orienting the data role-based or column-based really doesn't matter in the sense that we store them as blocks on disks. And so we introduced the in memory technology which gives you an In-Memory column, a representation of your data as well alongside your relational. So there is an example where you go like, well, actually you know, if you have this use case of the column or analytics all In-Memory, I would argue Oracle Database is also that screwdriver you want to go down to and gives you that capability. Because not only gives you representation in columnar, but also which many people then forget all the analytic power on top of SQL. It's one thing to store your data columnar, it's a completely different story to actually be able to run analytics on top of that and having all the built-in functionalities and stuff that you want to do with the data on top of it as you analyze it. >> You know, that's a great example, the kilometer 'cause I remember there was like a lot of hype around it. Oh, it's the Oracle killer, you know, at Vertica. Vertica is still around but, you know it never really hit escape velocity. But you know, good product, good company, whatever. Natezza, it kind of got buried inside of IBM. ParXL kind of became, you know, red shift with that deal so that kind of went away. Teradata bought a company, I forget which company it bought but. So that hype kind of disapated and now it's like, oh yeah, columnar. It's kind of like In-Memory, we've had a In-Memory databases ever since we've had databases you know, it's a kind of a feature not a sector. But anyway, Maria, let's come back to you. You've got a lot of customer experience. And you speak with a lot of companies, you know during your time at Oracle. What else are you seeing in terms of the benefits to this approach that might not be so intuitive and obvious right away? >> I think one of the biggest benefits to having a multimodel multiworkload or as we call it a converged database, is the fact that you can get greater data synergy from it. In other words, you can utilize all these different techniques and data models to get better value out of that data. So things like being able to do real-time machine learning, fraud detection inside a transaction or being able to do a product recommendation by accessing three different data models. So for example, if I'm trying to recommend a product for you Dave, I might use graph analytics to be able to figure out your community. Not just your friends, but other people on our system who look and behave just like you. Once I know that community then I can go over and see what products they bought by looking up our product catalog which may be stored as JSON. And then on top of that I can then see using the key-value what products inside that catalog those community members gave a five star rating to. So that way I can really pinpoint the right product for you. And I can do all of that in one transaction inside the database without having to transform that data into different models or God forbid, access different systems to be able to get all of that information. So it really simplifies how we can generate that value from the data. And of course, the other thing our customers love is when it comes to deploying data-driven apps, when you do it on a converged database it's much simpler because it is that standard data platform. So you're not having to manage multiple independent single purpose databases. You're not having to implement the security and the high availability policies, you know across a bunch of different diverse platforms. All of that can be done much simpler with a converged database 'cause the DBA team of course, is going to just use that standard set of tools to manage, monitor and secure those systems. >> Thank you for that. And you know, it's interesting, you talk about simplification and you are in Juan's organization so you've big focus on mission critical. And so one of the things that I think is often overlooked well, we talk about all the time is recovery. And if things are simpler, recovery is faster and easier. And so it's kind of the hallmark of Oracle is like the gold standard of the toughest apps, the most mission critical apps. But I wanted to get to the cloud Maria. So because everything is going to the cloud, right? Not all workloads are going to the cloud but everybody is talking about the cloud. Everybody has cloud first mentality and so yes, it's a hybrid world. But the natural next question is how do you think the cloud fits into this world of data-driven apps? >> I think just like any app that you're developing, the cloud helps to accelerate that development. And of course the deployment of these data-driven applications. 'Cause if you think about it, the developer is instantly able to provision a converged database that Oracle will automatically manage and look after for them. But what's great about doing something like that if you use like our autonomous database service is that it comes in different flavors. So you can get autonomous transaction processing, data warehousing or autonomous JSON so that the developer is going to get a database that's been optimized for their specific use case, whatever they are trying to solve. And it's also going to contain all of that great functionality and capabilities that we've been talking about. So what that really means to the developer though is as the project evolves and inevitably the business needs change a little, there's no need to panic when one of those changes comes in because your converged database or your autonomous database has all of those additional capabilities. So you can simply utilize those to able to address those evolving changes in the project. 'Cause let's face it, none of us normally know exactly what we need to build right at the very beginning. And on top of that they also kind of get a built-in buddy in the cloud, especially in the autonomous database. And that buddy comes in the form of built-in workload optimizations. So with the autonomous database we do things like automatic indexing where we're using machine learning to be that buddy for the developer. So what it'll do is it'll monitor the workload and see what kind of queries are being run on that system. And then it will actually determine if there are indexes that should be built to help improve the performance of that application. And not only does it bill those indexes but it verifies that they help improve the performance before publishing it to the application. So by the time the developer is finished with that app and it's ready to be deployed, it's actually also been optimized by the developers buddy, the Oracle autonomous database. So, you know, it's a really nice helping hand for developers when they're building any app especially data-driven apps. >> I like how you sort of gave us, you know the truth here is you don't always know where you're going when you're building an app. It's like it goes from you are trying to build it and they will come to start building it and we'll figure out where it's going to go. With Agile that's kind of how it works. But so I wonder, can you give some examples of maybe customers or maybe genericize them if you need to. Data-driven apps in the cloud where customers were able to drive more efficiency, where the cloud buddy allowed the customers to do more with less? >> No, we have tons of these but I'll try and keep it to just a couple. One that comes to mind straight away is retrace. These folks built a blockchain app in the Oracle Cloud that allows manufacturers to actually share the supply chain with the consumer. So the consumer can see exactly, who made their product? Using what raw materials? Where they were sourced from? How it was done? All of that is visible to the consumer. And in order to be able to share that they had to work on a very diverse set of data. So they had everything from JSON documents to images as well as your traditional transactions in there. And they store all of that information inside the Oracle autonomous database, they were able to build their app and deploy it on the cloud. And they were able to do all of that very, very quickly. So, you know, that ability to work on multiple different data types in a single database really helped them build that product and get it to market in a very short amount of time. Another customer that's doing something really, really interesting is MindSense. So these guys operate the largest mines in Canada, Chile, and Peru. But what they do is they put these x-ray devices on the massive mechanical shovels that are at the cove or at the mine face. And what that does is it senses the contents of the buckets inside these mining machines. And it's looking to see at that content, to see how it can optimize the processing of the ore inside in that bucket. So they're looking to minimize the amount of power and water that it's going to take to process that. And also of course, minimize the amount of waste that's going to come out of that project. So all of that sensor data is sent into an autonomous database where it's going to be processed by a whole host of different users. So everything from the mine engineers to the geo scientists, to even their own data scientists utilize that data to drive their business forward. And what I love about these guys is they're not happy with building just one app. MindSense actually use our built-in low core development environment, APEX that comes as part of the autonomous database and they actually produce applications constantly for different aspects of their business using that technology. And it's actually able to accelerate those new apps to the business. It takes them now just a couple of days or weeks to produce an app instead of months or years to build those new apps. >> Great, thank you for that Maria. Gerald, I'm going to push you again. So, I said upfront and talked about microservices and the cloud and containers and you know, anybody in the developer space follows that very closely. But some of the things that we've been talking about here people might look at that and say, well, they're kind of antithetical to microservices. This is our Oracles monolithic approach. But when you think about the benefits of microservices, people want freedom of choice, technology choice, seen as a big advantage of microservices and containers. How do you address such an argument? >> Yeah, that's an excellent question and I get that quite often. The microservices architecture in general as I said before had architectures, Linux distributions, et cetera. It's kind of always a bit of like there's an academic approach and there's a pragmatic approach. And when you look at the microservices the original definitions that came out at the early 2010s. They actually never said that each microservice has to have a database. And they also never said that if a microservice has a database, you have to use a different technology for each microservice. Just like they never said, you have to write a microservice in a different programming language, right? So where I'm going with this is like, yes you know, sometimes when you look at some vendors out there, some niche players, they push this message or they jump on this academic approach of like each microservice has the best tool at hand or I'd use a different database for your purpose, et cetera. Which almost often comes across like us. You know, we want to stay part of the conversation. Nothing stops a developer from, you know using a multimodal database for the microservice and just using that as a document store, right? Or just using that as a relational database. And, you know, sometimes I mean, it was actually something that happened that was really interesting yesterday I don't know whether you follow Dave or not. But Facebook had an outage yesterday, right? And Facebook is one of those companies that are seen as the Silicon Valley, you know know how to do microservices companies. And when you add through the outage, well, what happened, right? Some unfortunate logical error with configuration as a force that took a database cluster down. So, you know, there you have it where you go like, well, maybe not every microservice is actually in fact talking to its own database or its own special purpose database. I think there, you know, well, what we should, the industry should be focusing much more on this argument of which technology to use? What's the right tool for a job? Is more to ask themselves, what business problem actually are we trying to solve? And therefore what's the right approach and the right technology for this. And so therefore, just as I said before, you know multimodal databases they do have strong benefits. They have many built-in functionalities that are already there and they allow you to reduce this complexity of having to know many different technologies, right? And so it's not only to store different data models either you know, treat a multimodal database as a chasing documents store or a relational database but most databases are multimodal since 20 plus years. But it's also actually being able to perhaps if you store that data together, you can perhaps actually derive additional value for somebody else but perhaps not for your application. But like for example, if you were to use Oracle Database you can actually write queries on top of all of that data. It doesn't really matter for our query engine whether it's the data is format that then chase or the data is formatted in rows and columns you can just rather than query over it. And that's actually very powerful for those guys that have to, you know get the reporting done the end of the day, the end of the week. And for those guys that are the data scientists that they want to figure out, you know which product performed really well or can we tweak something here and there. When you look into that space you still see a huge divergence between the guys to put data in kind of the altarpiece style and guys that try to derive new insights. And there's still a lot of ETL going around and, you know we have big data technologies that some of them come and went and some of them came in that are still around like Apache Spark which is still like a SQL engine on top of any of your data kind of going back to the same concept. And so I will say that, you know, for developers when we look at microservices it's like, first of all, is the argument you were making because the vendor or the technology you want to use tells you this argument or, you know, you kind of want to have an argument to use a specific technology? Or is it really more because it is the best technology, to best use for this given use case for this given application that you have? And if so there's of course, also nothing wrong to use a single purpose technology either, right? >> Yeah, I mean, whenever I talk about Oracle I always come back to the most important applications, the mission critical. It's very difficult to architect databases with microservices and containers. You have to be really, really careful. And so and again, it comes back to what we were talking before about with Maria that the complexity and the recovery. But Gerald I want to stay with you for a minute. So there's other data management technologies popping out there. I mean, I've seen some people saying, okay just leave the data in an S3 bucket. We can query that, then we've got some magic sauce to do that. And so why are you optimistic about you know, traditional database technology going forward? >> I would say because of the history of databases. So one thing that once struck me when I came to Oracle and then got to meet great people like Juan Luis and Andy Mendelsohn who had been here for a long, long time. I come to realization that relational databases are around for about 45 years now. And, you know, I was like, I'm too young to have been around then, right? So I was like, what else was around 45 years? It's like just the tech stack that we have today. It's like, how does this look like? Well, Linux only came out in 93. Well, databases pre-date Linux a lot rather than as I started digging I saw a lot of technologies come and go, right? And you mentioned before like the technologies that data management systems that we had that came and went like the columnar databases or XML databases, object databases. And even before relational databases before Cot gave us the relational model there were apparently these networks stores network databases which to some extent look very similar to adjacent documents. There wasn't a harder storing data and a hierarchy to format. And, you know when you then start actually reading the Cot paper and diving a little bit more into the relation model, that's I think one important crux in there that most of the industry keeps forgetting or it hasn't been around to even know. And that is that when Cot created the relational model, he actually focused not so much on the application putting the data in, but on future users and applications still being able to making sense out of the data, right? And that's kind of like I said before we had those network models, we had XML databases you have adjacent documents stores. And the one thing that they all have along with it is like the application that puts the data in decides the structure of the data. And that's all well and good if you had an application of the developer writing an application. It can become really tricky when 10 years later you still want to look at that data and the application that the developer is no longer around then you go like, what does this all mean? Where is the structure defined? What is this attribute? What does it mean? How does it correlate to others? And the one thing that people tend to forget is that it's actually the data that's here to stay not someone who does the applications where it is. Ideally, every company wants to store every single byte of data that they have because there might be future value in it. Economically may not make sense that's now much more feasible than just years ago. But if you could, why wouldn't you want to store all your data, right? And sometimes you actually have to store the data for seven years or whatever because the laws require you to. And so coming back then and you know, like 10 years from now and looking at the data and going like making sense of that data can actually become a lot more difficult and a lot more challenging than having to first figure out and how we store this data for general use. And that kind of was what the relational model was all about. We decompose the data structures into tables and columns with relationships amongst each other so therefore between each other. So that therefore if somebody wants to, you know typical example would be well you store some purchases from your web store, right? There's a customer attribute in it. There's some credit card payment information in it, just some product information on what the customer bought. Well, in the relational model if you just want to figure out which products were sold on a given day or week, you just would query the payment and products table to get the sense out of it. You don't need to touch the customer and so forth. And with the hierarchical model you have to first sit down and understand how is the structure, what is the customer? Where is the payment? You know, does the document start with the payment or does it start with the customer? Where do I find this information? And then in the very early days those databases even struggled to then not having to scan all the documents to get the data out. So coming back to your question a bit, I apologize for going on here. But you know, it's like relational databases have been around for 45 years. I actually argue it's one of the most successful software technologies that we have out there when you look in the overall industry, right? 45 years is like, in IT terms it's like from a star being the ones who are going supernova. You have said it before that many technologies coming and went, right? And just want to add a more really interesting example by the way is Hadoop and HDFS, right? They kind of gave us this additional promise of like, you know, the 2010s like 2012, 2013 the hype of Hadoop and so forth and (mumbles) and HDFS. And people are just like, just put everything into HDFS and worry about the data later, right? And we can query it and map reduce it and whatever. And we had customers actually coming to us they were like, great we have half a petabyte of data on an HDFS cluster and we have no clue what's stored in there. How do we figure this out? What are we going to do now? Now you had a big data cleansing problem. And so I think that is why databases and also data modeling is something that will not go away anytime soon. And I think databases and database technologies are here for quite a while to stay. Because many of those are people they don't think about what's happening to the data five years from now. And many of the niche players also and also frankly even Amazon you know, following with this single purpose thing is like, just use the right tool for the job for your application, right? Just pull in the data there the way you wanted. And it's like, okay, so you use technologies all over the place and then five years from now you have your data fragmented everywhere in different formats and, you know inconsistencies, and, and, and. And those are usually when you come back to this data-driven business critical business decision applications the worst case scenario you can have, right? Because now you need an army of people to actually do data cleansing. And there's not a coincidence that data science has become very, very popular the last recent years as we kind of went on with this proliferation of different database or data management technologies some of those are not even database. But I think I leave it at that. >> It's an interesting talk track because you're right. I mean, no schema on right was alluring, but it definitely created some problems. It also created an entire, you know you referenced the hyper specialized roles and did the data cleansing component. I mean, maybe technology will eventually solve that problem but it hasn't up at least up tonight. Okay, last question, Maria maybe you could start off and Gerald if you want to chime in as well it'd be great. I mean, it's interesting to watch this industry when Oracle sort of won the top database mantle. I mean, I watched it, I saw it. It was, remember it was Informix and it was (indistinct) too and of course, Microsoft you got to give them credit with SQL server, but Oracle won the database wars. And then everything got kind of quiet for awhile database was sort of boring. And then it exploded, you know, all the, you know not only SQL and the key-value stores and the cloud databases and this is really a hot area now. And when we looked at Oracle we said, okay, Oracle it's all about Oracle Database, but we've seen the kind of resurgence in MySQL which everybody thought, you know once Oracle bought Sun they were going to kill MySQL. But now we see you investing in HeatWave, TimesTen, we talked about In-Memory databases before. So where do those fit in Maria in the grand scheme? How should we think about Oracle's database portfolio? >> So there's lots of places where you'd use those different things. 'Cause just like any other industry there are going to be new and boutique use cases that are going to benefit from a more specialized product or single purpose product. So good examples off the top of my head of the kind of systems that would benefit from that would be things like a stock exchange system or a telephone exchange system. Both of those are latency critical transaction processing applications where they need microsecond response times. And that's going to exceed perhaps what you might normally get or deploy with a converged database. And so Oracle's TimesTen database our In-Memory database is perfect for those kinds of applications. But there's also a host of MySQL applications out there today and you said it yourself there Dave, HeatWave is a great place to provision and deploy those kinds of applications because it's going to run 100 times faster than AWS (mumbles). So, you know, there really is a place in the market and in our customer's systems and the needs they have for all of these different members of our database family here at Oracle. >> Yeah, well, the internet is basically running in the lamp stack so I see MySQL going away. All right Gerald, will give you the final word, bring us home. >> Oh, thank you very much. Yeah, I mean, as Maria said, I think it comes back to what we discussed before. There is obviously still needs for special technologies or different technologies than a relational database or multimodal database. Oracle has actually many more databases that people may first think of. Not only the three that we have already mentioned but there's even SP so the Oracle's NoSQL database. And, you know, on a high level Oracle is a data management company, right? And we want to give our customers the best tools and the best technology to manage all of their data. Rather than therefore there has to be a need or there should be a part of the business that also focuses on this highly specialized systems and this highly specialized technologies that address those use cases. And I think it makes perfect sense. It's like, you know, when the customer comes to Oracle they're not only getting this, take this one product you know, and if you don't like it your problem but actually you have choice, right? And choice allows you to make a decision based on what's best for you and not necessarily best for the vendor you're talking to. >> Well guys, really appreciate your time today and your insights. Maria, Gerald, thanks so much for coming on The Cube. >> Thank you very much for having us. >> And thanks for watching this Cube conversation this is Dave Vellante and we'll see you next time. (upbeat music)

Published Date : Jun 24 2021

SUMMARY :

and then you guys just follow my lead. So I noticed Maria you stopped anyway, So any time you don't So when I'm here you guys and we'll open up when Dave's ready. and the benefits they bring What are we really talking about there? the nearest stores to kind of the traditional So for example, you can do So Gerald, you think about to you at all but just receives or even a MongoDB that allows you to do ML and AI into the database, in the database you already have. and I buy that by the way. of since the last 40 years, you know the benefits to this approach is the fact that you can get And you know, it's And that buddy comes in the form of the truth here is you don't and deploy it on the cloud. and the cloud and containers and you know, is the argument you were making And so why are you because the laws require you to. And then it exploded, you and the needs they have in the lamp stack so I and the best technology to and your insights. we'll see you next time.

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James Leach & Todd Brannon, Cisco | CUBEconversation


 

(upbeat music) >> In 2009, Cisco made a major announcement in the form of UCS. It was designed to attack the IT labor problem. Cisco recognized that, data center professionals were struggling to be agile and provide the types of infrastructure services that lines of business were demanding for the modern applications of that day. The value proposition was all about, simplifying infrastructure deployment and management and by combining networking compute and storage with virtualization and a management layer, Cisco changed the game for running applications on premises and the era of converged infrastructure was born. Now fast forward a dozen years, and a lot has changed. The cloud has gone mainstream, forcing new requirements on organizations to bridge their on-prem environments to public clouds and manage workloads across clouds. Now to address this challenge, Cisco earlier this month, announced a series of offerings, that meaningfully expands its original vision, to support the more demanding requirements of today's dev sec ops teams. In particular Cisco, with this announcement is enabling customers to deploy a full stack cloud-like operating model that leverages modern platforms such as Kubernetes, new integrations and advanced tooling to bring automation, visibility and better security for both hybrid and multi-cloud environments. Now the underpinning of this solution, is a new UCS architecture called the X series. Cisco claims this new system gives customers a trusted platform for the next decade to support their hybrid and multi-cloud workloads. Gents, great to see you, welcome. >> Hey, thank you. Good to be here. >> Thanks for having a us Dave. I appreciate. >> My pleasure. Looking forward to this. So look, we've seen the X series announcement and it looks to be quite a new approach. What are the critical aspects of the X series that you want people to understand? Maybe James, and you can take that. >> Sure I think that, you know, overall, there is a lot of change coming in the marketplace, right? We're seeing we're looking at and we're seeing from a technology standpoint, a significant amount of change. Look at CPU's and GPU's, the power draw alone is becoming, you know, it basically at the trajectory, it is, it may be untenable for some, you know, of the current configurations that people are consuming, right? So some of these current architectures just can't deal with that, right? Or at least they can't deal with what's coming in the future. We're also seeing the relevance of other types of architectures like maybe arm to start to become something that our customers want to take advantage of, right? Or maybe want to see how that scale fits into their environment on a totally different level. At the same time, the fabrics are really evolving at lightning speed here, right? So we're seeing PCI express, we've gone from gen three to gen four, gen five is coming in the very near future. We're layering on top of that, things like CXL to take that, that fabric to the next level for capabilities and be able to do things that we couldn't do before. To connect things together, we couldn't do before. Beyond that, we probably are just a few years away from even more exciting developments in the fabric space around some of the high performance low latency fabrics that are that are again on the drawing board today just around the corner. Take that and you, you look at the kind of the evolution of the the admin, right? So we're seeing the admin developer emerge. No longer is this just a guy who's sitting in front of a dashboard and managing systems, keeping them up and down, we're now seeing a whole class of developers that are also administrators, right? So all of this together is starting to push us well beyond what human scale really can manage, what human scale can consume. So, there's a lot of change coming and I think that we're taking a look at that and realizing that something like X series has to be able to deal with that change and the challenges that it brings, but also and do so in a simple manner that we can allow automation orchestration and some of these new capabilities to enhance what our customers can do, not to drown them in technology. >> You know, that taught, that's kind of interesting what James was saying about beyond human scale. I mean, I think my little narrative upfront, it was sort of, hey, we recognize as an IT labor problem. We're going to address that. And it really wasn't about massive scale back then, it is now. We really what we've learned from the cloud guys, right? >> Definitely. I mean, people are moving from pets to cattle to now with containers, they're saying that it's mosquitoes, right? Cause they're so ephemeral, they come and go and on a single host, you could have, you know, hundreds if not thousands of containers. And so the application environment has influenced the infrastructure design and really changed the role of the infrastructure operator to one that necessitates automation, necessitates operations at scale, even on prem everyone's trying to operate in that cloud like model and they're trying to bridge, the big challenge I see is, they're trying to bridge their existing environment big monolithic applications they've got on-prem with those data lakes that they built around them over the past decade, but they're also trying to follow their developers as they go out into the public cloud and innovate there. That's really where the nexus of all the application innovation is. So the IT teams who are already strapped for resources it's not like their budgets are going up every year, are now taking on a new front out in the cloud while they're still trying to maintain the systems that they've built with on-prem. That's the challenge. >> Yeah that's really the hard part and where some of the innovation here is, is anybody that lives in an old house knows that connecting old to new is very challenging much more challenging than building from scratch. But James I wonder if we'd come back to the to the architecture of the X series and what's really unique about it and what's in it for your customers? >> Yes, absolutely. So we're, when were looking at at kind of redesigning this thing from the ground up, we recognized that, you know from a timing standpoint, we're sitting at a place with the development of future fabrics and some of these other technologies that we finally have the opportunity to hit the timing perfectly to start to do composability right. So we've heard a lot of noise, you know in the market for the last several years about composability and how that's going to be the salvation or change the game here. But at the end of the day, the technology hasn't been there in those offerings, right? So we're sitting at the edge of some of the development of those technologies that are going to allow us to do that. And what we've done with X series, is we've taken a construct that we call the UCS X fabric, which is the ability to consume these technologies today as like a effectively a chassis fabric that can allow us to connect resources together within the chassis and future external to the chassis. But it also allows us to take advantage of the change in fabric that's coming. So as fabrics evolve, as we see new technologies like CXL and the PCI express gen five and beyond, come into play here and eventually physical technologies like Silicon Photonix, those are constructs that are going to allow our customers to do some amazing things and we have the construct to be able to consume those. Our goal here is like, to effectively look out at these disruptive technologies on the horizon and make sure that they're not disrupting our customers that we give our customers the ability to disrupt their competitors and to disrupt their markets, but by consuming those technologies in an easy way. >> You know, you didn't use the term future-proof. And I usually don't like that phrase because a lot of times people go that's future-proof and I'm like, well, what's future proof? Well, it's really fast. Well, okay. And in two years, it's going to be, you know really slow compared to everything else. But what you, what you just laid out is an architecture that's really taking advantage of some of these new capabilities that are driving latency down. So that's so, thank you for that. Now, Todd I get how the X series is going to enable customers you know, today I just mentioned the future but how does it play into Cisco's hybrid cloud vision? >> Well I mean, our customers aren't looking for, you know, point solutions or bolt on layers of software to manage across the hybrid cloud landscape. That's the fundamental challenge and so what we're doing with intersite, if you really think about all the systems that we have in our portfolio, like X series, really it's just extensions of our inner site platform. And there we're bridging the gaps between fundamental infrastructure prem, with all of those services that you need to optimize workloads and infrastructure, both in that on-prem environment but also out in the public cloud and even moving up the stack now into serverless. So we know that customers again are trying to bolt together a cohesive environment that allows them to manage those existing workloads on prem but also support the innovation going on out in the cloud and to do that, you have to have services to manage Kubernetes. You need hooks into modern tool chains like a Hashi corks Terraform, we did that a few months back and we recently brought in something we call our service mesh manager that came out of an acquisition of a Bonzai cloud. So what we're doing is, we're kind of spanning that entire spectrum from physical infrastructure, to the workload and that could be extracted in any number of ways either in containers or containers around VMs or bare metal running applications run on bare metal or just virtual machine applications encapsulation. So, you got all these different modalities that customers are going to run applications in and it's our intent to create a platform here that supports all of them, both on their on-prem environment and also all the resources they're managing out in the cloud. So that's a big deal for us. You know, one thing I want to go back to the X series for a second, something James mentioned, right? Is you know as we see subsystems in computing, start to decompose and break apart, you know, we have intersite as the mechanism to put Humpty Dumpty back together again and that's really, I think composability and district's options bar, but that's okay. But so I'll read it together. And like James said, you know be able to take on whatever fabrics, low latency fabrics, ultra low latency fabrics we need in coming years to sew these systems together, we're kind of breaking a barrier that didn't, that wasn't, you know people have trouble breaking through in the past, right? And that's this idea of true infrastructure as code or true software defined infrastructure. Cause now we're talking about being able to apply policy and automation, to the actual construct of a server. How do you build that thing to the needs of the workload? And so if you talk to an SRE or a developer today and you say infrastructure, they're thinking of Kubernetes cluster, but ultimately we want to push that boundary or that frontier between the world software to find it abstracted as far down in the infrastructure, as we can. And with intersite and X fabric and X series, we're taking it all the way down to the individual drive or CPU or ultimately breaking memory apart and sewing that back together. So it's kind of exciting time for us, cause really, pushing that frontier of what is software defined further and further down into the infrastructure and that just gives people a lot more flexibility in what they build. >> So I want to play something back to you and see if it resonates. Essentially, I look at what you just said is you're building a layer across my on-prem, whatever public cloud across clouds at the conventionally, you know, get to the edge, but let's hold off on that, let's park that for now. But that layer obstructs the underlying technical complexity and allows that infrastructure to be, you said programmable, infrastructure is code essentially. So that's one of my other questions, it's like, how programmable is this infrastructure, you know, today and in the future? But is that idea of an abstraction layer kind of how you're thinking about hybrid and multi-cloud? >> It is in terms of the infrastructure that customers are going to run on prem right in the public cloud the cloud providers are already abstracting that for them. And so what we want to do is bring that same type of public cloud experience to managing infrastructure on prem. So being able to have pools of resources that you allocate out to workloads, shifted as things change. So it's absolutely a cloud-like approach to on-prem infrastructure and you know, one of the things I like to say is, you know, friends don't let friends, build their own private cloud platforms from scratch, right? We're productizing this, we're bringing it as a cohesive system that customers don't need to engineer on their own. They can focus on their operations and James actually, he's a pilot, and one of the things he observed about Intersight a couple of years ago was, this idea of Intersight as a co-pilot and kind of, you know, adding a person to your team almost when you have intersite in your data center, because some very, what feels like rudimentary things are incredibly impactful day-to-day for our customers. So we have recommendation engines. If it, if like, you know, maybe it says some interplay between bios and firmware and operating system and we know that there's an issue there rather than letting customers stumble upon that on their own we're going to flag it, show them the correction, go implement it for them. So that it starts to feel a lot more like what they're accustomed to in a public cloud setting where the system has some intelligence baked in, the system is kind of covering them and watching their back and acting like a co-pilot day-to-day operations. >> Okay, so I get that, you know, the cloud guys will abstract the complexity you guys are focused on prem, but is it, so my question then is multi-cloud across clouds because we have some cloud providers, you know you're partners with Google they do some things with Antho, so I know Microsoft with Ark, but even near-term. Should we think about Cisco as playing that role of my, across cloud, you know, partner if you will? >> Absolutely. You know, cloud agnosticism is core to our approach because we know that, you know if you dial the clock way back to the early odds, right? When cloud first started emerging it was kind of an efficiency play. And you had folks like Nicholas Carr, right? The author that they put out the big switch, kind of envisioning a world where there'd be this ultimate consolidation to maybe one or two or three cloud platforms worldwide. But what we're seeing, you know we had data sovereignty kind of emerge over the past decade but even the past year or two, it's now becoming issues of actual cloud sovereignty. So you have governments in Australia and in India and in Europe actually asserting control over the cloud providers and services that can be used by their public sector organizations and so that's just leading to actually cloud fragmentation. It's not nearly as monolithic of future as we thought it would be. It's a lot of clouds and so as customers want to move around geographically or if they want to go harvest innovation that maybe Google is really good at something like machine vision, or they want to use AWS or Azure for different applications that they're going to go build. We're seeing customers really being put in a place where they're going to deal with multiple cloud providers and the data supports that. So it's definitely our approach especially on the networking technology side to make it very easy for our customers to go out and connect these different clouds and not have to repeat the integration process every time they want to go, you know, start using another public cloud provider. So that's absolutely our strategies to be very agnostic and build everything in mind for customers they're going to be using in multiple providers. >> Thank you for that touch. So James, I want to come back and talk a little bit about sort of your competitive posture here. I mean, you guys, when you made the announcement, I inferred that you were feeling like you were in a pretty good position relative to the competition that you were putting forth, not just you know, core infrastructure in hardware and software but also all these other components around it that we talked about, observability extending out to the, you know, beyond the four walls of my data center, et cetera. But talk a little bit about why you think this gives you such competitive advantage in the marketplace. >> Well I mean, I think first of all, back to where Todd was going as well, is that, you know if you think about trying to be, to work in this hybrid cloud world, that we're clearly living in, the idea of burrowing features and functions as far down the stack as possible, doesn't make a lot of sense, right? So intersite is a great example. We want to manage and we want to orchestrate across clouds, right? So how are we going to have our management and infrastructure services buried into the chassis, down at the very lowest level, that doesn't make sense. So we elevated our, you know, our operating model to the cloud, right? And that's how we manage across clouds from the cloud. So, building a system and really we've done this from the ground up with X series, building a system that is able to take advantage of all these two technologies. And you mentioned, you know, how being future proof was probably you know, a derogatory term almost and I agree with you completely. I think we're future ready. Like, we're ready to embrace it because we're not trying to say that nothing is going to change beyond what we've already thought of, we're saying, bring it on. We're saying, bring on that change because we're ready for it. We've we can accommodate change. We, we're not saying that the technology we have today is to going to ride us for 10 years, we're saying,, we're ready for the next 10 years of change. Bring it. We can do that in a simple way. That is, you know, I think, you know going to give us the versatility and the simplicity to allow the technology to go beyond human scale without having to you know drown our customers in administrative duties, right? So that co-pilot that Todd mentioned is going to be able to take on a lot more of the work, just like an airplane where you know, the pilot has functionality that he has to absolutely be part of and those are the our developers, right? We want those admin developers to develop, to build things and to do things and not get bogged down in the minutiae that exists. So I think competitively, you know, our architecture top to bottom, you know, all the way up the stack, all the way to the bottom is unique and it is focused on not just the rear view mirror but what's coming in the future. >> So my takeaway there is that, okay, I get it. The new technologies will come along but this architecture is the architecture for the decade. You're not going to have to redo the architecture in a few years. That's really the key point here. Todd, I'll give you last word might just taking some notes here and takeaways that I heard, I heard upfront. Chip diversity really take advantage of all the innovations that are coming out. You're ready for that. You're kind of blurring the lines between blade and rack, giving some optionality there. Scale is a big theme. I mean, the cloud has brought that in and, you know people want to scale, they don't want to be, you know provisioning lawns all day and they won't be able to scale if that's what their job is. Developer friendly, particularly as it relates to infrastructure as code. And you've got a roadmap. So Todd, that's my summary. I'll give you the last word. >> No, it's really good. I mean, you hit it, right. We're thinking about this holistic operating environment that our customers are building for hybrid cloud and we're pre-engineering that environment for them. So our Intersight platform, all of our systems that connect to that, are really built to tackle that hybrid environment from end to end, and with systems like X series, we're giving them a more simple, efficient landing spot for their workloads on prem but crucially it's fully integrated with this hybrid cloud platform so as they have workloads on prem and workloads in the cloud, it's kind of a transparent environment between those two, between those two, two worlds there. So bringing it together so that our customers don't have to build it themselves. >> Excellent. Well, gents thanks so much for coming on theCUBE and sharing the details of this announcement. Congratulations, I know how much work and thought goes into these things, really looking forward to its progress and adoption in the marketplace. Appreciate your time. >> Thank you. >> Thanks for time. >> And thank you for watching this cube conversation. This is Dave Vellante. We'll see you next time. (upbeat music)

Published Date : Jun 15 2021

SUMMARY :

and the era of converged Good to be here. I appreciate. and it looks to be quite a new approach. that fabric to the next We're going to address that. and really changed the role to the architecture of the X series and how that's going to be the salvation going to be, you know and to do that, you have to have services and allows that infrastructure to be, So that it starts to feel a lot more Okay, so I get that, you know, and so that's just leading to out to the, you know, beyond that he has to absolutely be part of brought that in and, you know all of our systems that connect to that, and adoption in the marketplace. And thank you for watching

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Tim Carben & Manoj Nair, Commvault | CUBEconversation


 

(upbeat music) We are entering a new era of cyber attacks. The SolarWinds hack has underscored a rising and very disturbing trend, namely that tunneling in through an organization's supply chain. And you're hearing terms like island hopping and living off the land it becoming mainstream in the world of cybersecurity. And we're going to talk a little bit about ransomware and cyber with Manoj Nair who is the GM of Metallic, a Commvault company. And Tim Carben, as a Principal Systems Engineer with Mitchell International. Gents, welcome. Thanks so much for coming on and talking to me about this very important topic. So, you know, Tim, I got to start with you, you're the practitioner, you got to fight this battle every day. You heard me upfront, it feels like we're entering a new era, the adversary is highly capable, very well-funded. How are you thinking about changes in protecting your data and creating things like air gaps. What are you doing to solve this problem? >> I think the most important part, and this is just to start off with, is patching everything up to date. Most of the time someone's getting in, or most of the time one of these viruses is replicating between the different systems it's due to unpatched environments. And then number two is training. If your resources don't know not to click on something, or to hover over something, to look at it, then you are just going to be exposing your environment over and over and over again. But when it all boils down to it, and it comes back to what I'm doing in the data protection world, in the backup and recovery, I have to look at not only how am I going to get this data back, because if a system gets encrypted we are going to look for recovery first. That's it. Look for recovery first, but we also need to make sure that our environment is protected, lock down our media agents, lock down our storage that we're connected to, and like you had mentioned before, use an air gap. Everyone's been moving away from tape and it's understandable. There's a lot of resource utilization involved. There's a lot of people that you need in there in your data center, moving things around, and it's a robotic machine you have to rely on. Not only that, but recovery times can be slow. What I found is Commvault has gone out there and they've offered us SaaS storage. This SaaS storage is somewhere else. We could be in AWS, we could be in Azure, we could be in GCP but we can still connect to the SaaS storage. And we never have to worry about someone having access to our data center and getting to our tapes. We don't have to worry about someone having tenant access and deleting our backups off of a particular tenant, which is something that we are going to see in the future, if it's not out there already. So there's a lot that we have to do and protecting ourselves is very important and Commvault is making it a lot easier. >> Thank you, Tim. So, these things have probably been around for a while but we're seeing really, I talk about mainstream, and a couple of things that are really disturbing, and we're seeing these malware come in and they're self forming, they're creating different signatures. But we're also seeing this idea of living off the land very stealthily using your own tools against you. And then, really disturbingly, we're seeing when a victim discovers that they're being attacked and they respond, their incident response is triggering a very aggressive counter attack by the hackers, where they've already exfiltrated really sensitive data, they've been stealing and making monetizing your data. And then they'll just encrypt it, hold it for ransom, threaten to release that sensitive data, if you don't let them keep going. It's really, really disturbing. What's your perspective on this raising the bar that the bad guys have done and how we can keep pace? >> And Dave. I lived through the nation-state attack that happened in 2012. The front door seat I was at RSA as part of the leadership team. And, at that time it was considered this is a very unique and it's an advanced, persistent threat. It took the resources of one of the biggest nations of the world to mount something like that. And fast forward, eight, nine years later we're seeing that these kinds of techniques have now been mainstreamed. You've got a lot of people who are figuring out not just that. They may not even care about your data, but they know you care about your data. So they're not trying to exfiltrate the data maybe to look for sensitive data and monetize it. That's just harder. Why not take it directly from you? In Q1 of 2021 the average ransomware ransom went up 43%. It's like $250k or something. That's just the ransom. And we saw now that it's impacting day-to-day lives. You saw the long lines of the gas tanks, gas pumps on the East Coast. You know, the weekend before last. And here's somebody who had a ransomware attack. As the news story say, they'd paid for the ransom. And that was the recovery after paying 5 million was slow, so they had to go and figure out how to recover from the backups. And that was not fast enough. So, you know, defense in depth is something that has really been the mantra, and just like protecting a home, you're not just looking at putting in an alarm on the front door, you have sensors on your windows, you have a fire alarm. You got to see if you got different things too, in terms of really thinking through different threats. And Tim hit on a couple of those things, right? You really think about what is my weak link, what is my vulnerability? That vulnerability is now your software supply chain. So you're thinking about whom am I buying things from? Aren't they taking care of stuff because they are now a new backdoor. And that's kind of the biggest, I would say new thing, that has now been mainstreamed. Like a lot of these techniques are getting mainstream, but the fact that a software supply chain itself that has being deployed in mass is now vulnerable, and that will be monetized. It might've started with the nation-state doing that, but then you'll get people trying take you for ransom will start weaponizing those same vulnerabilities. So really that data and making sure that your crown jewels you have a fail-safe way of protecting them. And it's not just, you know, you need to practice the readiness of that. Like any system, just having that there is not good enough, like, can I detect issues? What is the ecosystem that's part of? How is my identity tracking who has got access to that? We've seen a lot of interesting things and is part of why we started creating services like a air gap service in the cloud. The customer doesn't have to worry about managing credentials, because even those were getting compromised. People were stealing the credentials to go delete the backup. So that the steps keep moving forward. There's a lot of money going in the research and development of malware. And the industry, in partnership with customers and partnership with local and federal authorities, are going to have to figure out how to tackle this together. >> Yeah. So Tim, Commvault. You don't think of it being in the cybersecurity space specifically, but those worlds are coming together, the data protection and security space. And I would imagine for you as a practitioner it's challenging because you don't have a blank checkbook. I mean, yes, you can spend, you have to spend on cyber, but you have all these, you talked about digital transformation in an earlier discussion that we had, and you've got to figure out, okay how do I apply AI and automation? You've got a talent gap. I mean, you can't hire people that have the skills because you just can't keep throwing people at the problem. So, so you don't have this unlimited budget. I saw a stat, there's a company, it's cyber security ventures, they said, "by 2025 we will lose $10.5 trillion annually to cyber attacks." And I think if I look at whosever numbers, you look at IDC, I think has one of the higher numbers out there, It's like 100 billion that we spend each year on cyber. So it's infinitesimal compared to the to the value that the bad guys are extracting. So how are you dealing with that complexity, fragmented, you know, security tooling, lack of talent, turnover I mean, all this stuff, and the budget challenges. How do you deal with all that? >> I do not want to use this word, but it's as easy as research, and staying on top of everything. Everyone knows you update your virus definitions. You keep that up-to-date. You close your firewall holes. You have denies at the very end of every firewall. You make sure you keep track of these small things. At the same time, you leverage utilities that make it easier for you to do your job. The Commvault iDA has a feature that keeps track of changes or modifications on a server. So if I have a server that's actively getting hit with a ransomware, Commvault reports me an alert and tells me , "Hey, we have had this many files modified within this time period. Look at it right now." So on top of everything else we have, because it's not a replacement for our virus protection, but it does help us. And it does keep track of things. And Commvault, as well as a lot of other companies out there are doing some great things in closing up small little gaps, in adding little features that could really help us move forward in the future, and keep us more protected, I guess I should say. >> Yeah. I mean the backup corpus is sort of the last line of defense. So it also could be a first point of attack because all the valuable data is in there. So I'll give you the last word here on the segment. Thanks for doing this with me, guys. How do you think the industry needs to approach this? It's not, you can't go and lead alone. You definitely need to collaborate. Your final thoughts. >> Collaborate, share risk factors, making sure that systems are connected and they're not siloed. And that will really make sure our customers are getting the best out of all of us. And you have to build an intelligence of the product. Anything static, just like you said, if the backup is the crown jewel how are they're going to go after that? So your backup systems need to have AI/ML. They need to be able to detect any kind of suspicious activity. You can't just kind of code it in and just expect that what you thought would work in the lab is how it's going to behave. And in general, unless there's a bigger penalty in terms of the response to these kinds of attacks, as long as they keep getting paid, they're going to keep doing this thing. So you got to follow the money is a simple work. Let's take that rich ecosystem that's funding them, and replace it with a tight partnership between companies and customers and partners and garments. >> Guys. Well, the equation is pretty simple. Value equals benefit over cost. If you can increase the denominator for the bad guys it'll lower their ROI, and that's kind of your job. So keep up the good work, gents. Thanks so much for coming to the Cube and talking to me about this very important topic. I really appreciate it. >> Thank you. >> Thank you. >> And thank you for watching this Cube Conversation. This is Dave Vellante. We'll see you next time. (quirky music)

Published Date : May 25 2021

SUMMARY :

and living off the land in the backup and recovery, I have to look that the bad guys have done You got to see if you people that have the skills At the same time, you leverage of attack because all the And you have to build an and talking to me about And thank you for watching

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Isabelle Guis, Tim Carben, & Manoj Nair | CUBEconversation


 

>> Commvault was an idea that incubated as a project inside of bell labs, one of the most prestigious research and development organizations in the world, back in the day. It became an official company in 1996, and Commvault just celebrated its 25th anniversary. As such, Commvault has had to reinvent itself many times over the past two and a half decades. From riding the waves of the very early PC networking era, to supporting a rich set of solutions for the evolving enterprise. This includes things like cloud computing, ransomware disaster, recovery, security compliance, and pretty much all things data protection and data management. And with me to talk about the company, its vision for the future, with also a voice of the customer. Three great guests, Isabel Geese is the Chief Marketing Officer of Commvault, Manoj Nair is the GM of Metallic, and Tim Carben is a principal systems engineer with Mitchell International. Folks, welcome to the Commvault power panel. Come inside the cube. It's awesome to have you. >> Great to be here Dave. >> All right. First of all, I got to congratulate you celebrating 25 years. That's a long time, not a lot of tech companies make it that far and are still successful and relevant. So Isabelle, maybe you could start off. What do you think has been the driving factor for your ability to kind of lead through the subsequent technological waves that I alluded to upfront? >> So well, 25 years is commendable but we are not counting success in number of years we're really counting success in how many customer we've helped over those years. And I will say what has been the driving mater for us as who that has been innovating with our customers. You know, we were there every step of the way, when they migrate to hybrid cloud. And now as they go to multi cloud in a post COVID world, where they have to win gold you know, distributed workforce, different types of workloads and devices, we are there too. We have that workload as well. So the innovation keep coming in, thanks to us listening to our customer. And then adding needs that change over the last 25 years and probably for the next 25 as well. You know, we, we want to be here for customer who think that data is an asset, not a liability. And also making sure that we offer them a broad range of use cases to book why things simple because the word is getting too complex for them. So let's take the complexity on us. >> Thank you for that. So Manoj, you riffed on the cube before about, you know putting on the, the binoculars and looking at the future. So let's talk about that. Where do you see the future for this industry? What are some of the key driving factors that matter. >> Dave it's great to be back on the Cube. You know, we see our industry no different than lots of other industries. The SAS model is rapidly being adopted. And the reason is, you know customers are looking for simplicity simplicity not just in leveraging, you know the great technology that Commvault has built but in the business model and the experience. So, you know, that's one of the fastest growing trends that started in consumer apps and other applications, other B to B apps. And now we're seeing it in core infrastructure like data management, data protection. They're also trying to leverage their data better, make sure it's not fragmented. So, how do you deliver more intelligent services? You know, securing the data insights from the beta, transforming the data and that combination, you know our ability to do that in a multi-cloud world like Isabel said, now with increasing edge work loads. Sometimes, you know, our customers say their data centers are the new edge too. So you kind of have this, you know, data everywhere, workloads everywhere, yet the desire to deliver that with a holistic experience, we call it the power of bank. The ability to manage your data and leverage the data with the simple lesson without compromise. And that's really what we're seeing as part of the future. >> Okay. Manoj I to come back to you and double click on that but I want to introduce Tim to the conversation here. You bring in the voice of the customer, as they say. Tim, my understanding is Mitchell has been a Commvault customer since the mid two thousands. So tell us why Commvault? What has kept you with the company for more than 15 years? >> Yeah! It was what, 2006 when we started and really when it all boils down to it, it's just as Isabel said, innovation. At Mitchell we're always looking to stay ahead of the trend. And, you know, just to like was mentioned earlier data is the most important part here. Commvault provides us peace of mind to protect and manage our data. And they do data protection for all of our environments, right now. We've been a partner to help enable our digital transformation including SAS and cloud adoption. When we start talking about the solutions we have, I mean we of course started in 2006. I mean, this was version six, if I remember right, this predates me at the company. Upgraded to seven, eight, nine. We brought in 10, brought in 11, brought in hyper scale and then moved on to bring in the Metallic. And Commvault provides the reason for this. I guess I should say is, Commvault provides a reliable backup but most importantly, recovery, rapid recovery. That's what gives me confidence. That's what helps me sleep better at night. So when I started looking at SAS, as a differentiator to protect our 036 environments or 065 environments. Metallic was a natural choice, and the one thing I wanted to add to that is it came out cheaper than us building it ourselves. When you take into account resources, as well as compute and storage. So again, just a natural choice. >> Yeah. As the saying goes, back up is one thing, recoveries everything. Isabel you know we've seen the SAS suffocation of the enterprise, particularly, you know from the app side. You came from Salesforce. So you, the company that is the poster child for SAS. But my question is what's catalyzing this shift and why do you think data protection is ready to make the move? >> Well, there's so many good things about SAS. You know, you remember when people started moving to the cloud and transforming their CapEx into OPEX, well SAS bring yet another level of benefits. I.T, we know always has to do more with less. And so SAS allows you to, once you set up you've got all the software upgrades automatically without you know, I think it's smart work. You can better manage your cash flow because you pay as you grow. And also you have a faster time to value. So all of this at help, the fast adoption and I will tell you today, I don't think there is a single customer who doesn't have at least one SAS application because they have things of value of this. Now, when it comes to backup and recovery, everybody's at different stages you still have on premise, you have cloud, they have SAS and workloads devices. And so what we think was the most important was to offer a raw choice of delivery model. Being able to support them if they want software subscription, if they want an integrated appliance or easy one as SAS. As a service model, and also some of our partners are actually delivering this in a more custom and managed way as well. So offering choice because everybody is at a different stage on this journey when it comes to data management and protection, I actually, you know I think team is the example of taking full advantage or this broad choice. >> Well, you mentioned Tim that you leaned into Metallic. We have seen the SAS everywhere. We used to have a email server, right? I mean, (laughing) on prem, that just doesn't happen anymore. But how was Mitchell International thinking about SAS? Maybe you could share your, from your customer perch, what you're seeing. >> Well, What's interesting about this is Mitchell is been providing SAS for a long time. We are a technology company and we do provide solutions, SAS solutions to our customers. And this makes it so important to be able to embrace it because we know the value behind it. We're providing that to our customers. And when I look at what Commvault is doing I know that Commvault is doing the same thing. They're providing the SAS model as a value to their customers. And it's so important to go with this because we keep our environments cutting edge. As GDPR says, you need to have a cutting edge environment. And if you don't, if you cannot check that box you do not move forward. Commvault has that. And this is one less thing that I have to worry about when choosing Metallic to do my backup of O365. >> So thank you for that, Tim. So Manoj, thinking about what you just heard from Isabel and Tim, you know kind of fitting into a company's cloud or hybrid cloud, more importantly strategy, you were talking before about this. And in other words, it's not an either or, it's not a zero sum game. It's simpatico, if you will. I wonder if you could elaborate. >> Yeah. The power of band Dave I'm very proud of that. You know, when I think of the power of band I think of actually folks like Tim, our customers and Commonwealth first, right. And, really that need for choice. So for example, you know customers on various different paths to the cloud, we kind of homogenize it and say, they're on a cloud journey or they're on a digital transformation journey but the journey looks different. And so part of that, and as Isabella was saying is really the ability to meet them where they are in that journey. So for example, do you, go in there and say, "Hey, you know what I'm going to be some customers 100% multi-cloud or single cloud even. And that includes SaaS applications and my infrastructure running as a service." So there's a natural fit there saying great all your data protection. You're not going to be running software appliances for that. So you've got to data protection, data management as a service that Metallic is able to offer across the whole estate. And that's, you know, that's probably a small set of customers, but rapidly growing. Then you see a lot more customers were saying I'm going to do away as you're talking about with the email server, I'm going to move to Office 365 leverage the power of Teams. And there's a shared responsibility model there which is different than an on-prem data protection use case. And so they're, they're able to just add on Metallic to the existing Commvault environment whether it's a Commvault software or hyper-scale and connect the two. So it's a single integrated experience. And then you kind of go to the other end of the spectrum and say "great" customers' all in on a SaaS delivered data protection, as you know and you hear a lot from a lot of your guests and we hear from our customers, there's still a lot of data sitting out there. you know 90 plus percent of workloads in data centers, increasing edge data workloads. And if you were to back up one of those data workloads and say that the only copy can be in the cloud, then that would take like a 10 day recovery SLA. You know, we have some competent users who say that then that's what they have. Our flexibility, our ability to kind of bring in the hyper-scale deployment and just, you know dock it into Metallic and have a local copy instant recovery, SLA, remote backup copy in the cloud for ransomware or your worst case scenario. That's the kind of flexibility. So all those are scenarios we're really seeing with our customers. And that's kind of really the power of mandates. Very unique part of our portfolio. Companies can have portfolio products but to have a single integrated offering with that flexibility, that kind of depending on the use case you can start here and grow into a different point. That's really the unique part of the power event. >> Yeah, yeah. 10 day RTO just doesn't cut it, but Tim, maybe maybe you could weigh in here. Why, what was the catalyst for you adopting Metallic and maybe you could share what was the business impact there? >> Well, the catalyst and impact obviously two different things. The catalyst, when we look at it, there was a lot of what are we going to do with this? We have an environment, we need to back it up and how are we going to approach this? So we looked at it from a few different standpoints and of course, when it boils down to it one of the major reasons was the financial. But when we started looking at everything else that we have available to us and the flexibility that Commvault has in rolling out new solutions, this really was a no brainer, at this point. We are able to essentially back up new features and new products, as soon as they're available. within our Metallic environment we are running the activate. We are running the, the self-service for the end users, to where they can actually recover their own files. We are adding the teams into it to be able to recover and perform these backups for teams. And I want to step aside really quick and mention something about this because I'd been with, you know, Metallic for a long time and I'd been waiting for this. We've been waiting for an ability to do these backups and anyone I know, Manoj knows that I've been waiting for it. And you know, Commvault came back to me a while back and they said, we just have to wait for the API. We have to wait for Microsoft to release it. Well, I follow the news. I saw Microsoft released the API and I think it may have been two days later that Commvault reached out to me and said, Hey we got it available. Are you ready to do this? And that sort of turned around, that sort of flexibility, being on top of new applications with that, with Salesforce, that is, you know just not necessarily the reason why I adopted Metallic but one of those things that puts a smile on my face because I adopted Metallic. >> Well, that's an interesting story. I mean, you get the SDKs and if you're a leader you get them, you know, you can put the resources on it and you're ready when, when the product comes to GA. Manoj, I wonder if we could talk about just the notion of backing up a SAS. Part of the announcements today included within Metallica included backup and, and offerings for dynamics 365. But my question is why support dynamics specifically in in SAS apps generally? I mean, customers might say, doesn't my SAS provider protect my data. Why do I need a third party? And, and the second part of that question is why Commvault? >> Dave, a great question as always. I'll start with the second part of the question. It's really three words, the shared responsibility model, and, you know, a lot of times our customers, as they go into the cloud model they really start understanding that there is something, that you're getting a lot of advantages that certain things you don't have to do. But the shared responsibility model is what every cloud and SAS provider will indoctrinate in it's in desolate. And certainly the application data is owned by the customer. And the meaning of that is not something that, you know some SAS provider can understand. And so that requires specialized skills. And that's a partnership where we've done this now very successfully with Microsoft and LG 65. We've added support for Salesforce, And we see a rapid customer adoption because of that shared responsibility model, If you have a, some kind of an admin issue as we have seen in the news somebody changed their team setting and then lost all their chat. Then that data is discoverable. And you, the customer, responsible for making sure that data is discoverable or ransomware attacks. Again, covering that SAS data is your responsibility because the attack could be coming in from your instance, not from the SAS provider. So those are the reasons dynamics is, you know one of the fastest growing SAS applications from a business applications perspective out there. And as we looked at our roadmap and you look at at the right compliment. What is arriving by the agency, we're seeing this part of a Microsoft's business application suite growing, you know, millions of users out there and it's rapidly growing. And it's also integrated with the rest of the Microsoft family. So we're now, you know, proud to say that we support all three Microsoft clouds by Microsoft 365 dynamics. Those applications are increasingly degraded so we're seeing commonality in customer base and that's a business critical data. And so customers are looking to manage the data, have solutions that they can be sure they can leverage, it's not just protecting data from worst-case scenarios. In the case of some of the apps like dynamics we offer a support, like setting up the staging environment. So it's improving productivity off the application admins and that's really kind of that the value we're bringing able to bring to the table. >> Yeah. You know, that shared responsibility model. I'm glad you brought that up because I think it's oftentimes misunderstood but when you talk to CSOs, they understand it well. They'll tell you the shared responsibility is my responsibility. You know, maybe the cloud provider who will secure the the object storage bucket for the physical space, but it's, it's on me. So that's really important. So thank you for that. Isabelle, last question. The roadmap, you know how do you see Commvaults, Metallic, SAS portfolio evolving? what can you tell us? >> Oh, well, it has a big strategic impact on Commvault for sure, first because all of our existing customer as you mentioned earlier, 25 years, it's a lot of customer will have somehow some workload as SaaS. And so the ability without adding more complexity without adding another vendor just to be able to protect them in one take, and as teams, they bring a smile to his face is really important for us. The second is also a lot of customer come toCommvault from Metallic. This is the first time they enter the Commvault community and Commvault family and as they start protecting their SaaS application they realize that they could leverage the same application to protect their on-premise, data as well. So back to the power of hand and without writing off their past investments, you know going to the cloud at the pace they want. So from that perspective, there is a big impact on our customer community that quickened that Metallic brings. I don't know Manojs' way too humble, but, you know he doubled his customers every quarter. And, you know, we have added 24 countries to the portfolio, to the product. So we see a rapid adoption. And so obviously back to your question, we see the impacts of Metallic growing and growing fast because of the market demand because of the rapid innovation. We can take the Commvault technology and put it in the SaaS model and our customers really like it. So I'm very excited. I think it's going to be, you know, a great innovation, a great positive impact for customers and our new customer will welcome it, which by the way I think half, Manoj correct me but I think half of the Metallic customer at Commvault and the other half are new to our family. So, so they're very bullish about this. And it's just the beginning, as you know we all 25 year old or sorry, 25 year young and looking forward to the next 25. >> Well, I can confirm, you know we have a data partner, survey partner ETR enterprise technology research, and I was looking at the Commvault data and it shows within the cloud segment, when you cut the data by cloud, you're actually accelerating the spending momentum is accelerating. And I think it's a function of, you know some of the acquisitions you've made some of the moves. You made an integration. So congratulations on 25 years and you know you're riding the correct wave. Isabel, Manoj, Tim thanks so much for coming in the cube. It was great to have you. >> Thank you. >> Thank you Dave. >> I really appreciate it. >> And thank you everybody for watching. This is Dave Volante for the Cube. We'll see you next time.

Published Date : May 19 2021

SUMMARY :

of bell labs, one of the So Isabelle, maybe you could start off. So let's take the complexity on us. and looking at the future. And the reason is, you know You bring in the voice of the customer, and the one thing I wanted of the enterprise, particularly, you know And so SAS allows you to, once you set up that you leaned into Metallic. And it's so important to go with this So thank you for that, Tim. is really the ability to for you adopting Metallic and and the flexibility that Commvault has the product comes to GA. And the meaning of that is You know, maybe the cloud And it's just the beginning, as you know And I think it's a function of, you know And thank you everybody for watching.

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Samme Allen, Event Expert | CUBEconversation


 

>>Overnight 2020 forced us to get digital video, right? For the first 90 days, it was pretty awkward to say the least, but as people became more comfortable with home setups and lighting and just the weirdness of being locked down and shut in the frequency, the quality, and I think the watch ability of virtual conversations improved quite dramatically welcome to the cube. My name is Dave Vellante. And with me to talk about what we learned and can take away from producing video content during the isolation economy is event expert conference facilitator and MC extraordinary Sam Allen, Sam, come inside the cube. Welcome. >>Thank you so much for having me really lovely to be here with you. >>Pleasure. So I gotta ask you, you know, am I right? Do we actually have more watchable video online or now, or are we all sort of zoom fatigued out? >>I think if people watch the cube, I think you've got some incredible content online. You guys are the pros. I think we are still in this change format right now. Uh, we've got people who are doing it well, who started really early, tried failed, pick themselves back up, try it again, and are producing some really good pieces of content looking outside of perhaps the norm to create some great visual, some great conferences and events. I think on the whole, sadly, I think we still have a way to go, which is great for the likes of us in terms of helping those professionals become more professional and just trying to differentiate between what's just a zoom meeting. And actually what's an experience for communications for our audiences. >>I want to get into some of the best practice and maybe some of the do's and don'ts, but, but let's roll back a little bit. Tell us about yourself and how you got into this business. >>I'd love to say I've been a virtual event designer and MC moderator for years, but as we know, the world has turned itself on its head in the past 14, 15 months. Prior to that, I've been in the event and conference industry for about 20 years. Most recently, traveling the world, uh, onstage presenting moderating, hosting conferences, across various different industries from pharmaceuticals to finance, through to industry associations, telecoms, et cetera. Um, my world fell apart just about February 23rd, 2020, as many people did. I was excitingly booked to work with a lot of clients through Nova, uh, through to November, 2020. That didn't happen. And we have a couple of choices as an entrepreneur, uh, pick ourselves up or stay down on the ground. So I chose that first option. I studied online event design. I was a meeting and event designer already, but there are big nuances. When we work in the world of online, I've picked myself up, started studying online event design. I was fortunate. My clients trusted me. So we managed to pivot, uh, several of their events early on during the pandemic into the world of virtual. We've had some incredible feedback from our participants and we have gone from strength to strength. I now work with several other associate MCs experienced in this digital field, working with new and existing clients in terms of designing a better experience for those who are watching us on our screens. Now >>That's awesome. I love the reinvention story. I, Sam, I didn't know. You could take a class in this stuff. So tell me about that. And what was that like? >>I think one of the things when, you know, when we are in, and I'm sure many of our viewers today have said in the wonderful conference theaters and we'll be back in those rooms soon, uh, everything is done with experienced a V and technical and event producers and venue people. Whereas in the online world, I'm here, uh, in sunny London on my own, making sure that I have the right sound, the right connectivity, the rights, uh, visuals, all of these things are things that we just didn't have to do. And we have to do that for every single content contributors. So studying an online event design course back at the very beginning of lockdown really helped me understand the checklist that we need to have for our clients, the things that we need to assume. And most importantly, the things that can go wrong so that we can pick up on those as quickly as we can and try and create these seamless and engaging experiences for our audiences. So I would say to anyone, who's sort of looking into this and really don't know where to start. It's probably good to go and have a look at an online event design course. >>Thank you for that. So, so tell me what, what were some of the things as you look back on 2020, and you think about the work that you did with your clients and maybe even observing some, some of your non-clients, what were the, some of the, some of the mistakes that people made and we can get into some of the best practice. >>Well, as all good people who are being interviewed say, well, you're going to have to wait for my book to be published later on in the year with all the things that have gone wrong and all the ways we've rectified it. But I think one of the major things that we've we've had is obviously this world of distraction, we've all seen it with the cat lawyer. We've seen it with the kids coming in and we've humanized. I think the world of events, which I think is a really positive experience for us all, we are all humans and events are about bringing humans together, human connection. So I think there's a positive side to that, but equally by the same token, we we've seen people, maybe not really getting under the skin of, you know, what's the difference between a zoom meeting and an event experience in terms of what people have been wearing. >>Um, I've had an awkward conversation when we've taken a zoom background away from a speaker and you don't want to know what was hanging on the door. We also had a situation where we lost, um, we've, we've lost speakers and we've had to jump in due to connectivity issues that, you know, we've tested them, but then they've ended up broadcasting from somewhere else. So I think some of that seamless technology, and I would say to anyone, uh, to try and not suffer those challenges, I would say, test, test, rehearse, test, and rehearse again, and make sure you've got that team of people around you. I think a lot of people think that it's very easy to do this, Dave, as I know you and your team will know it is not a, you wouldn't just because I happen to like flying. You wouldn't want me to fly your aircraft. And I think there's the same analogy in terms of running your online event, um, and digital communication experiences. >>Oh, you think, I mean, I w I think we found it that running virtual events is, is harder because there's, first of all, there's so much unknown. You can't really call a late, late stage audible. I mean, things are locked in when you're doing a simulive. I presume you found the same thing and your clients have, have learned a lot in that regard. >>I think it's, um, a lot more work. I think there's a lot more work pre event. Pre-conference pre-meeting that, um, people are still trying to get their, their minds around when we hosted an event in person where you'll get there the day or two before during set-up, we then have a very, very long two, three, four days, depending on how long that event is, where we've got our speakers of the same room, they've all flown in. We know that they've arrived. We know they've checked into the hotel. What we don't have are any of those variables in this world. So we need to make sure that we're working with all of those content providers. And if like me, you work in the association world where you can have up to 90 or a hundred different speakers over a course of a Congress, we've got to fit in the time to make sure that we've tech checked. >>We've worked with panels so that we can make sure that they're dynamic and we've got people looking as well as sounding good. So I think one of those things is that is exceptionally, uh, huge amounts of pre-planning that people need to factor in. I think the second thing is people need to not underestimate how exhausting it is when you don't have the vibe of a live audience. Uh, especially as they'd be considerate of your keynote speakers, especially if they're not professionals, they haven't been doing this. They're not comfortable with a green light. It is tiring, um, trying to visualize 1,004 and a half thousand 25 people, one person in the same room as you would be quite nice. And we haven't had that for the past 12 months. So I think we've learned a lot from that. And we've got some good tips and tricks now that we can, we can use, but, um, I'm pretty sure a lot of our content providers and speakers are looking forward to seeing people back in a really, yeah, fantastic. Well, >>That brings me to my next question. Let's make this the last one, just as we begin to get a little bit more comfortable with, with virtual now we're getting vaccinated. People are, there's huge up demand for face to face. So now we have this new thing of hybrid, uh, which is going to be really interesting to see how that plays out. What are you seeing? What's your expectation for that sort of new abnormal? >>That's an incredibly good question. And we have to start with the new C word is the H word, which is hybrid. I think we have a lot of people getting worried about what hybrid looks like, but I think if, if you think with a design thinking mind, when you're looking at event planning, the virtual or the in-person audience adjust another stakeholder. So if you're spending that time to plan out your meeting or event, the way you should be, then you can factor those people in. I am excited about this world. I think it becomes so much more inclusive for organizations moving forward. And DNI is something that has often been forgotten in the world of conferences and events. And I think the hybrid role gives us all the opportunity to, to have that choice. I think people especially event organizers because it's their job believe that everybody wants to be in a room and not everybody does and not everybody can. And now this is a really, really exciting opportunity to do things differently, to do things, to become more inclusive. And of course, to be more sustainable. >>Sam, you're really an inspiration. I mean, a lot of people out there have to reinvent themselves. You've, you've done it. You retrained you, you started a new type of business that drew on your existing passion, but it's really fantastic to have you on. Thanks for sharing your expertise best of luck in the future. It's great having you. >>Thanks, Dave. >>All right. Thanks for watching everybody. This is Dave Volante for the cube. We'll see you next time.

Published Date : May 10 2021

SUMMARY :

shut in the frequency, the quality, and I think the watch ability of Do we actually have more watchable video I think we are still in this change format right now. I want to get into some of the best practice and maybe some of the do's and don'ts, So we managed to pivot, uh, several of their events early I love the reinvention story. I think one of the things when, you know, when we are in, and I'm sure many of our and you think about the work that you did with your clients and maybe even observing some, some of your non-clients, I think the world of events, which I think is a really positive experience for us And I think there's the same analogy in terms of running your online event, I presume you found the same thing and your clients have, I think there's a lot more work pre event. I think the second thing is people need to not underestimate how exhausting it is when you So now we have this new thing of hybrid, I think we have a lot of people getting worried about what hybrid looks I mean, a lot of people out there have to reinvent themselves. This is Dave Volante for the cube.

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Eric Herzog & Sam Werner, IBM | CUBEconversation


 

(upbeat music) >> Hello everyone, and welcome to this "Cube Conversation." My name is Dave Vellante and you know, containers, they used to be stateless and ephemeral but they're maturing very rapidly. As cloud native workloads become more functional and they go mainstream persisting, and protecting the data that lives inside of containers, is becoming more important to organizations. Enterprise capabilities such as high availability or reliability, scalability and other features are now more fundamental and important and containers are linchpin of hybrid cloud, cross-cloud and edge strategies. Now fusing these capabilities together across these regions in an abstraction layer that hides that underlying complexity of the infrastructure, is where the entire enterprise technology industry is headed. But how do you do that without making endless copies of data and managing versions not to mention the complexities and costs of doing so. And with me to talk about how IBM thinks about and is solving these challenges are Eric Herzog, who's the Chief Marketing Officer and VP of Global Storage Channels. For the IBM Storage Division is Sam Werner is the vice president of offering management and the business line executive for IBM Storage. Guys, great to see you again, wish should, were face to face but thanks for coming on "theCUBE." >> Great to be here. >> Thanks Dave, as always. >> All right guys, you heard me my little spiel there about the problem statement. Eric, maybe you could start us off. I mean, is it on point? >> Yeah, absolutely. What we see is containers are going mainstream. I frame it very similarly to what happened with virtualization, right? It got brought in by the dev team, the test team, the applications team, and then eventually of course, it became the main state. Containers is going through exactly that right now. Brought in by the dev ops people, the software teams. And now it's becoming again, persistent, real use clients that want to deploy a million of them. Just the way they historically have deployed a million virtual machines, now they want a million containers or 2 million. So now it's going mainstream and the feature functions that you need once you take it out of the test sort of play with stage to the real production phase, really changes the ball game on the features you need, the quality of what you get, and the types of things you need the underlying storage and the data services that go with that storage,. to do in a fully container world. >> So Sam how'd we get here? I mean, container has been around forever. You look inside a Linux, right? But then they did, as Eric said, go mainstream. But it started out the, kind of little experimental, As I said, their femoral didn't really need to persist them, but it's changed very quickly. Maybe you could talk to that evolution and how we got here. >> I mean, well, it's been a look, this is all about agility right? It's about enterprises trying to accelerate their innovation. They started off by using virtual machines to try to accelerate access to IT for developers, and developers are constantly out, running ahead. They got to go faster and they have to deliver new applications. Business lines need to figure out new ways to engage with their customers. Especially now with the past year we had it even further accelerated this need to engage with customers in new ways. So it's about being agile. Containers promise or provide a lot of the capabilities you need to be agile. What enterprises are discovering, a lot of these initiatives are starting within the business lines and they're building these applications or making these architectural decisions, building dev ops environments on containers. And what they're finding is they're not bringing the infrastructure teams along with them. And they're running into challenges that are inhibiting their ability to achieve the agility they want because their storage needs aren't keeping up. So this is a big challenge that enterprises face. They want to use containers to build a more agile environment to do things like dev ops, but they need to bring the infrastructure teams along. And that's what we're focused on now. Is how do you make that agile infrastructure to support these new container worlds? >> Got it, so Eric, you guys made an announcement to directly address these issues. Like it's kind of a fire hose of innovation. Maybe you could take us through and then we can unpack that a little bit. >> Sure, so what we did is on April 27th, we announced IBM Spectrum Fusion. This is a fully container native software defined storage technology that integrates a number of proven battle-hardened technologies that IBM has been deploying in the enterprise for many years. That includes a global scalable file system that can span edge core and cloud seamlessly with a single copy of the data. So no more data silos and no more 12 copies of the data which of course drive up CapEx and OpEx. Spectrum Fusion reduces that and makes it easier to manage. Cuts the cost from a CapEx perspective and cuts a cost for an OpEx perspective. By being fully container native, it's ready to go for the container centric world and could span all types of areas. So what we've done is create a storage foundation which is what you need at the bottom. So things like the single global namespace, single accessibility, we have local caching. So with your edge core cloud, regardless of where the data is, you think the data's right with you, even if it physically is not. So that allows people to work on it. We have file locking and other technologies to ensure that the data is always good. And then of course we'd imbued it with the HA Disaster Recovery, the backup and restore technology, which we've had for years and have now made of fully container native. So spectrum fusion basically takes several elements of IBM's existing portfolio has made them container native and brought them together into a single piece of software. And we'll provide that both as a software defined storage technology early in 2022. And our first pass will be as a hyperconverged appliance which will be available next quarter in Q3 of 2021. That of course means it'll come with compute, it'll come with storage, come with a rack even, come with networking. And because we can preload everything for the end users or for our business partners, it would also include Kubernetes, Red Gat OpenShift and Red Hat's virtualization technology all in one simple package, all ease of use and a single management gooey to manage everything, both the software side and the physical infrastructure that's part of the hyperconverged system level technologies. >> So, maybe it can help us understand the architecture and maybe the prevailing ways in which people approach container storage, what's the stack look like? And how have you guys approached it? >> Yeah, that's a great question. Really, there's three layers that we look at when we talk about container native storage. It starts with the storage foundation which is the layer that actually lays the data out onto media and does it in an efficient way and makes that data available where it's needed. So that's the core of it. And the quality of your storage services above that depend on the quality of the foundation that you start with. Then you go up to the storage services layer. This is where you bring in capabilities like HA and DR. People take this for granted, I think as they move to containers. We're talking about moving mission critical applications now into a container and hybrid cloud world. How do you actually achieve the same levels of high availability you did in the past? If you look at what large enterprises do, they run three site, for site replication of their data with hyper swap and they can ensure high availability. How do you bring that into a Kubernetes environment? Are you ready to do that? We talk about how only 20% of applications have really moved into a hybrid cloud world. The thing that's inhibiting the other 80% these types of challenges, okay? So the storage services include HA DR, data protection, data governance, data discovery. You talked about making multiple copies of data creates complexity, it also creates risk and security exposures. If you have multiple copies of data, if you needed data to be available in the cloud you're making a copy there. How do you keep track of that? How do you destroy the copy when you're done with it? How do you keep track of governance and GDPR, right? So if I have to delete data about a person how do I delete it everywhere? So there's a lot of these different challenges. These are the storage services. So we talk about a storage services layer. So layer one data foundation, layer two storage services, and then there needs to be connection into the application runtime. There has to be application awareness to do things like high availability and application consistent backup and recovery. So then you have to create the connection. And so in our case, we're focused on open shift, right? When we talk about Kubernetes how do you create the knowledge between layer two, the storage services and layer three of the application services? >> And so this is your three layer cake. And then as far as like the policies that I want to inject, you got an API out and entries in, can use whatever policy engine I want. How does that work? >> So we're creating consistent sets of APIs to bring those storage services up into the application, run time. We in IBM have things like IBM cloud satellite which bring the IBM public cloud experience to your data center and give you a hybrid cloud or into other public cloud environments giving you one hybrid cloud management experience. We'll integrate there, giving you that consistent set of storage services within an IBM cloud satellite. We're also working with Red Hat on their Advanced Cluster Manager, also known as RACM to create a multi-cluster management of your Kubernetes environment and giving that consistent experience. Again, one common set of APIs. >> So the appliance comes first? Is that a no? Okay, so is that just time to market or is there a sort of enduring demand for appliances? Some customers, you know, they want that, maybe you could explain that strategy. >> Yeah, so first let me take it back a second. Look at our existing portfolio. Our award-winning products are both software defined and system-based. So for example Spectrum Virtualize comes on our flash system. Spectrum Scale comes on our elastic storage system. And we've had this model where we provide the exact same software, both on an array or as standalone piece of software. This is unique in the storage industry. When you look at our competitors, when they've got something that's embedded in their array, their array manager, if you will, that's not what they'll try to sell you. It's software defined storage. And of course, many of them don't offer software defined storage in any way, shape or form. So we've done both. So with spectrum fusion, we'll have a hyper-converged configuration which will be available in Q3. We'll have a software defined configuration which were available at the very beginning of 2022. So you wanted to get out of this market feedback from our clients, feedback from our business partners by doing a container native HCI technology, we're way ahead. We're going to where the park is. We're throwing the ball ahead of the wide receiver. If you're a soccer fan, we're making sure that the mid guy got it to the forward ahead of time so you could kick the goal right in. That's what we're doing. Other technologies lead with virtualization, which is great but virtualization is kind of old hat, right? VMware and other virtualization layers have been around for 20 now. Container is where the world is going. And by the way, we'll support everything. We still have customers in certain worlds that are using bare metal, guess what? We work fine with that. We worked fine with virtual as we have a tight integration with both hyper V and VMware. So some customers will still do that. And containers is a new wave. So with spectrum fusion, we are riding the wave not fighting the wave and that way we could meet all the needs, right? Bare metal, virtual environments, and container environments in a way that is all based on the end users applications, workloads, and use cases. What goes, where and IBM Storage can provide all of it. So we'll give them two methods of consumption, by early next year. And we started with a hyper-converged first because, A, we felt we had a lead, truly a lead. Other people are leading with virtualization. We're leading with OpenShift and containers where the first full container-native OpenShift ground up based hyper-converged of anyone in the industry versus somebody who's done VMware or some other virtualization layer and then sort of glommed on containers and as an afterthought. We're going to where the market is moving, not to where the market has been. >> So just follow up on that. You kind of, you got the sort of Switzerland DNA. And it's not just OpenShift and Red Hat and the open source ethos. I mean, it just goes all the way back to San Volume Controller back in the day where you could virtualize anybody's storage. How is that carrying through to this announcement? >> So Spectrum Fusion is doing the same thing. Spectrum Fusion, which has many key elements brought in from our history with Spectrum Scale supports not IBM storage, for example, EMC Isilon NFS. It will support, Fusion will support Spectrum Scale, Fusion will support our elastic storage system. Fusion will support NetApp filers as well. Fusion will support IBM cloud object storage both software defined storage, or as an array technology and Amazon S3 object stores and any other object storage vendor who's compliant with S3. All of those can be part of the global namespace, scalable file system. We can bring in, for example, object data without making a duplicate copy. The normal way to do that as you make a duplicate copy. So you had a copy in the object store. You make a copy and to bring that into the file. Well, guess what, we don't have to do that. So again, cutting CapEx and OpEx and ease of management. But just as we do with our flash systems product and our Spectrum Virtualize and the SAN Volume Controller, we support over 550 storage arrays that are not ours that are our competitors. With Spectrum Fusion, we've done the same thing, fusion, scale the IBM ESS, IBM cloud object storage, Amazon S3 object store, as well as other compliance, EMC Isilon NFS, and NFS from NetApp. And by the way, we can do the discovery model as well not just integration in the system. So we've made sure that we really do protect existing investments. And we try to eliminate, particularly with discovery capability, you've got AI or analytics software connecting with the API, into the discovery technology. You don't have to traverse and try to find things because the discovery will create real time, metadata cataloging, and indexing, not just of our storage but the other storage I'd mentioned, which is the competition. So talk about making it easier to use, particularly for people who are heterogeneous in their storage environment, which is pretty much the bulk of the global fortune 1500, for sure. And so we're allowing them to use multiple vendors but derive real value with Spectrum Fusion and get all the capabilities of Spectrum Fusion and all the advantages of the enterprise data services but not just for our own product but for the other products as well that aren't ours. >> So Sam, we understand the downside of copies, but then, so you're not doing multiple copies. How do you deal with latency? What's the secret sauce here? Is it the file system? Is there other magic in here? >> Yeah, that's a great question. And I'll build a little bit off of what Eric said, but look one of the really great and unique things about Spectrum Scale is its ability to consume any storage. And we can actually allow you to bring in data sets from where they are. It could have originated in object storage we'll cash it into the file system. It can be on any block storage. It can literally be on any storage you can imagine as long as you can integrate a file system with it. And as you know most applications run on top of the file system. So it naturally fits into your application stack. Spectrum Scale uniquely is a globally parallel file system. So there's not very many of them in the world and there's none that can achieve what Spectrum Scale can do. We have customers running in the exabytes of data and the performance improves with scales. So you can actually deploy Spectrum Scale on-prem, build out an environment of it, consuming whatever storage you have. Then you can go into AWS or IBM cloud or Azure, deploy an instance of it and it will now extend your file system into that cloud. Or you can deploy it at the edge and it'll extend your file system to that edge. This gives you the exact same set of files and visibility and we'll cash in only what's needed. Normally you would have to make a copy of data into the other environment. Then you'd have to deal with that copy later, let's say you were doing a cloud bursting use case. Let's look at that as an example, to make this real. You're running an application on-prem. You want to spin up more compute in the cloud for your AI. The data normally you'd have to make a copy of the data. You'd run your AI. They have to figure out what to do with that data. Do you copy some of the fact? Do we sync them? Do you delete it? What do you do? With Spectrum Scale just automatically cash in whatever you need. It'll run there and you get assigned to spin it down. Your copy is still on-prem. You know, no data is lost. We can actually deal with all of those scenarios for you. And then if you look at what's happening at the edge, a lot of say video surveillance, data pouring in. Looking at the manufacturing {for} looking for defects. You can run a AI right at the edge, make it available in the cloud, make that data available in your data center. Again, one file system going across all. And that's something unique in our data foundation built on Spectrum Scale. >> So there's some metadata magic in there as well, and that intelligence based on location. And okay, so you're smart enough to know where the data lives. What's the sweet spot for this Eric? Are there any particular use cases or industries that we should be focused on or is it through? >> Sure, so first let's talk about the industries. We see certain industries going more container quicker than other industries. So first is financial services. We see it happening there. Manufacturing, Sam already talked about AI based manufacturing platforms. We actually have a couple clients right now. We're doing autonomous driving software with us on containers right now, even before Spectrum Fusion with Spectrum Scale. We see public of course, healthcare and in healthcare don't just think delivery at IBM. That includes the research guys. So the genomic companies, the biotech companies, the drug companies are all included in that. And then of course, retail, both on-prem and off-prem. So those are sort of the industries. Then we see from an application workload, basically AI analytics and big data applications or workloads are the key things that Spectrum Fusion helps you because of its file system. It's high performance. And those applications are tending to spread across core ,edge and cloud. So those applications are spreading out. They're becoming broader than just running in the data center. And by the way they want to run it just into the data center, that's fine. Or perfect example, we had giant global auto manufacturer. They've got factories all over. And if you think there isn't compute resources in every factory, there is because those factories I just saw an article, actually, those factories cost about a billion dollars to build them, a billion. So they've got their own IT, now it's connected to their core data center as well. So that's a perfect example that enterprise edge where spectrum fusion would be an ideal solution whether they did it as software defined only, or of course when you got a billion dollar factory, just to make it let alone produce the autos or whatever you're producing. Silicon, for example, those fabs, all cost a billion. That's where the enterprise edge fits in very well with Spectrum Fusion. >> So are those industries, what's driving the adoption of containers? Is it just, they just want to modernize? Is it because they're doing some of those workloads that you mentioned or is there's edge? Like you mentioned manufacturing, I could see that potentially being an edge is the driver. >> Well, it's a little bit of all of those Dave. For example, virtualization came out and virtualization offered advantages over bare metal, okay? Now containerization has come out and containerization is offering advantage over virtualization. The good thing at IBM is we know we can support all three. And we know again, in the global fortune 2000, 1500 they're probably going to run all three based on the application workload or use case. And our storage is really good at bare metal. Very good at virtualization environments. And now with Spectrum Fusion are container native outstanding for container based environments. So we see these big companies will probably have all three and IBM storage is one of the few vendors if not the only vendor that could adroitly support all three of those various workload types. So that's why we see this as a huge advantage. And again, the market is going to containers. We are, I'm a native California. You don't fight the wave, you ride the wave. and the wave is containers and we're riding that wave. >> If you don't ride the wave you become driftwood as Pat Gelsinger would say. >> And that is true, another native California. I'm a whole boss. >> So okay, so, I wonder Sam I sort of hinted upfront in my little narrative there but the way we see this, as you've got on-prem hybrid, you got public clouds across cloud moving to the edge. Open shift is I said is the linchpin to enabling some of those. And what we see is this layer that abstracts the complexity, hides the underlying complexity of the infrastructure that becomes kind of an implementation detail. Eric talked about skating to the park or whatever sports analogy you want to use. Is that where the park is headed? >> Yeah, I mean, look, the bottom line is you have to remove the complexity for the developers. Again, the name of the game here is all about agility. You asked why these industries are implementing containers? It's about accelerating their innovation and their services for their customers. It's about leveraging AI to gain better insights about their customers and delivering what they want and proving their experience. So if it's all about agility developers don't want to wait around for infrastructure. You need to automate it as much as possible. So it's about building infrastructure that's automated, which requires consistent API APIs. And it requires abstracting out the complexity of things like HA and DR. You don't want every application owner to have to figure out how to implement that. You want to make those storage services available and easy for a developer to implement and integrate into what they're doing. You want to ensure security across everything you do as you bring more and more of your data of your information about your customers into these container worlds. You've got to have security rock solid. You can't leave any exposures there and you can't afford downtime. There's increasing threats from things like ransomware. You don't see it in the news every day but it happens every single day. So how do you make sure you can recover when an event happens to you? So yes, you need to build a abstracted layer of storage services and you need to make it simply available to the developers in these dev ops environments. And that's what we're doing with spectrum fusion. We're taking, I think, extremely unique and one of a kind storage foundation with Spectrum Scale that gives you single namespace globally. And we're building onto it an incredible set of storage services, making extremely simple to deploy enterprise class container applications. >> So what's the bottom line business impact. I mean, how does this change? I mean, Sam, you I think articulated very well through all about serving the developers versus you know, storage, admin provisioning, a LUN. So how does this change my organization, my business? What's the impact there? >> I've mentioned one other point that we talk about an IBM a lot, which is the AI ladder. And it's about how do you take all of this information you have and be able to take it to build new insights, to give your company and advantage. An incumbent in an industry shouldn't be able to be disrupted if they're able to leverage all the data they have about the industry and their customers. But in order to do that, you have to be able to get to a single source of data and be able to build it into the fabric of your business operations. So that all decisions you're making in your company, all services you deliver to your customers, are built on that data foundation and information and the only way to do that and infuse it into your culture is to make this stuff real time. And the only way to do that is to build out a containerized application environment that has access to real-time data. The ultimate outcome, sorry, I know you asked for business results is that you will, in real time understand your clients, understand your industry and deliver the best possible services. And the absolute, business outcome is you will continue to gain market share and your environment and grow revenue. I mean, that's the outcome every business wants. >> Yeah, it's all about speed. Everybody's kind of, everybody's last year was forced into digital transformation. It was sort of rushed into and compressed and now they get some time to do it right. And so modernizing apps, containers, dev ops developer led sort of initiatives are really key to modernization. All right, Eric, we've got, we're out of time but give us the bottom summary. We didn't talk, actually, we had to talk about the 3,200. Maybe you could give us a little insight on that before we close. >> Sure, so in addition to what we're doing with Fusion we also introduced a new elastic storage system, 3,200 and it's all flash. It gets 80 gigs, a second sustained at the node level and we can cluster them infinitely. So for example, I've got 10 of them. I'm delivering 800 gigabytes, a second sustained. And of course, AI, big data analytic workloads are extremely, extremely susceptible to bandwidth and or data transfer rate. That's what they need to deliver their application base properly. It comes with Spectrum Scale built in so that comes with it. So you get the advantage of Spectrum Scale. We talked a lot about Spectrum Scale because it is if you will, one of the three fathers of spectrum fusion. So it's ideal with it's highly parallel file system. It's used all over in high performance computing and super computing, in drug research, in health care in finance, probably about 80% of the world's largest banks in the world use Spectrum Scale already for AI, big data analytics. So the new 3,200 is an all flash version twice as fast as the older version and all the benefit of Spectrum Scale including the ability of seamlessly integrating into existing Spectrum Scale or ESS deployments. And when Fusion comes out, you'll be able to have Fusion. And you could also add 3,200 to it if you want to do that because of the capability of our global namespace and our single file system across edge, core and cloud. So that's the 3,200 in a nutshell, Dave. >> All right, give us a bottom line, Eric. And we got to go, what's the bumper sticker. >> Yeah, bumper sticker is, you got to ride the wave of containers and IBM storage is company that can take you there so that you win the big surfing context and get the big prize. >> Eric and Sam, thanks so much, guys. It's great to see you and miss you guys. Hopefully we'll get together soon. So get your jabs and we'll have a beer. >> All right. >> All right, thanks, Dave. >> Nice talking to you. >> All right, thank you for watching everybody. This is Dave Vellante for "theCUBE." We'll see you next time. (upbeat music)

Published Date : Apr 28 2021

SUMMARY :

and protecting the data about the problem statement. and the types of things you Maybe you could talk to that a lot of the capabilities Got it, so Eric, you the data is, you think So that's the core of it. you got an API out and entries in, into the application, run time. So the appliance comes first? that the mid guy got it to in the day where you could And by the way, we can do Is it the file system? and the performance improves with scales. What's the sweet spot for this Eric? And by the way they want to run it being an edge is the driver. and IBM storage is one of the few vendors If you don't ride the And that is true, but the way we see this, as So how do you make sure What's the impact there? and the only way to do that and infuse it and now they get some time to do it right. So that's the 3,200 in a nutshell, Dave. the bumper sticker. so that you win the big It's great to see you and miss you guys. All right, thank you

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Nipun Agarwal, Oracle | CUBEconversation


 

(bright upbeat music) >> Hello everyone, and welcome to the special exclusive CUBE Conversation, where we continue our coverage of the trends of the database market. With me is Nipun Agarwal, who's the vice president, MySQL HeatWave in advanced development at Oracle. Nipun, welcome. >> Thank you Dave. >> I love to have technical people on the Cube to educate, debate, inform, and we've extensively covered this market. We were all over the Snowflake IPO and at that time I remember, I challenged organizations bring your best people. Because I want to better understand what's happening at Database. After Oracle kind of won the Database wars 20 years ago, Database kind of got boring. And then it got really exciting with the big data movement, and all the, not only SQL stuff coming out, and Hadoop and blah, blah, blah. And now it's just exploding. You're seeing huge investments from many of your competitors, VCs are trying to get into the action. Meanwhile, as I've said many, many times, your chairman and head of technology, CTO, Larry Ellison, continues to invest to keep Oracle relevant. So it's really been fun to watch and I really appreciate you coming on. >> Sure thing. >> We have written extensively, we talked to a lot of Oracle customers. You get the leading mission critical database in the world. Everybody from Fortune 100, we evaluated what Gardner said about the operational databases. I think there's not a lot of question there. And we've written about that on WikiBound about you're converged databases, and the strategy there, and we're going to get into that. We've covered Autonomous Data Warehouse Exadata Cloud at Customer, and then we just want to really try to get into your area, which has been, kind of caught our attention recently. And I'm talking about the MySQL Database Service with HeatWave. I love the name, I laugh. It was an unveiled, I don't know, a few months ago. So Nipun, let's start the discussion today. Maybe you can update our viewers on what is HeatWave? What's the overall focus with Oracle? And how does it fit into the Cloud Database Service? >> Sure Dave. So HeatWave is a in-memory query accelerator for the MySQL Database Service for speeding up analytic queries as well as long running complex OLTP queries. And this is all done in the context of a single database which is the MySQL Database Service. Also, all existing MySQL applications or MySQL compatible tools and applications continue to work as is. So there is no change. And with this HeatWave, Oracle is delivering the only MySQL service which provides customers with a single unified platform for both analytic as well as transaction processing workloads. >> Okay, so, we've seen open source databases in the cloud growing very rapidly. I mentioned Snowflake, I think Google's BigQuery, get some mention, we'll talk, we'll maybe talk more about Redshift later on, but what I'm wondering, well let's talk about now, how does MySQL HeatWave service, how does that compare to MySQL-based services from other cloud vendors? I can get MySQL from others. In fact, I think we do. I think we run WikiBound on the LAMP stack. I think it's running on Amazon, but so how does your service compare? >> No other vendor, like, no other vendor offers this differentiated solution with an open source database namely, having a single database, which is optimized both for transactional processing and analytics, right? So the example is like MySQL. A lot of other cloud vendors provide MySQL service but MySQL has been optimized for transaction processing so when customs need to run analytics they need to move the data out of MySQL into some other database for any analytics, right? So we are the only vendor which is now offering this unified solution for both transactional processing analytics. That's the first point. Second thing is, most of the vendors out there have taken open source databases and they're basically hosting it in the cloud. Whereas HeatWave, has been designed from the ground up for the cloud, and it is a 100% compatible with MySQL applications. And the fact that we have designed it from the ground up for the cloud, maybe I'll spend 100s of person years of research and engineering means that we have a solution, which is very, very scalable, it's very optimized in terms of performance, and it is very inexpensive in terms of the cost. >> Are you saying, well, wait, are you saying that you essentially rewrote MySQL to create HeatWave but at the same time maintained compatibility with existing applications? >> Right. So we enhanced MySQL significantly and we wrote a whole bunch of new code which is brand new code optimized for the cloud in such a manner that yes, it is 100% compatible with all existing MySQL applications. >> What does it mean? And if I'm to optimize for the cloud, I mean, I hear that and I say, okay, it's taking advantage of cloud-native. I hear kind of the buzzwords, cloud-first, cloud-native. What does it specifically mean from a technical standpoint? >> Right. So first, let's talk about performance. What we have done is that we have looked at two aspects. We have worked with shapes like for instance, like, the compute shapes which provide the best performance for dollar, per dollar. So I'll give you a couple of examples. We have optimized for certain shifts. So, HeatWave is in-memory query accelerator. So the cost of the system is dominated by the cost. So we are working with chips which provide the cheapest cost per terabyte of memory. Secondly, we are using commodity cloud services in such a manner that it's in-optimized for both performance as well as performance per dollar. So, example is, we are not using any locally-attached SSDs. We use ObjectStore because it's very inexpensive. And then I guess at some point I will get into the details of the architecture. The system has been really, really designed for massive scalability. So as you add more compute, as you add more service, the system continues to scale almost perfectly linearly. So this is what I mean in terms of being optimized for the cloud. >> All right, great. >> And furthermore, (indistinct). >> Thank you. No, carry on. >> Over the next few months, you will see a bunch of other announcements where we're adding a whole bunch of machine learning and data driven-based automation which we believe is critical for the cloud. So optimized for performance, optimized for the cloud, and machine learning-based automation which we believe is critical for any good cloud-based service. >> All right, I want to come back and ask you more about the architecture, but you mentioned some of the others taking open source databases and shoving them into the cloud. Let's take the example of AWS. They have a series of specialized data stores and, for different workloads, Aurora is for OLTP I actually think it's based on MySQL Redshift which is based on ParAccel. And so, and I've asked Amazon about this, and their response is, actually kind of made sense to me. Look, we want the right tool for the right job, we want access to the primitives because when the market changes we can change faster as opposed to, if we put, if we start building bigger and bigger databases with more functionality, it's, we're not as agile. So that kind of made sense to me. I know we, again, we use a lot, we use, I think I said MySQL in Amazon we're using DynamoDB, works, that's cool. We're not huge. And I, we fully admit and we've researched this, when you start to get big that starts to get maybe expensive. But what do you think about that approach and why is your approach better? >> Right, we believe that there are multiple drawbacks of having different databases or different services, one, optimized for transactional processing and one for analytics and having to ETL between these different services. First of all, it's expensive because you have to manage different databases. Secondly, it's complex. From an application standpoint, applications need, now need to understand the semantics of two different databases. It's inefficient because you have to transfer data at some PRPC from one database to the other one. It's not secure because there is security aspects involved when your transferring data and also the identity of users in the two different databases is different. So it's, the approach which has been taken by Amazons and such, we believe, is more costly, complex, inefficient and not secure. Whereas with HeatWave, all the data resides in one database which is MySQL and it can run both transaction processing and analytics. So in addition to all the benefits I talked about, customers can also make their decisions in real time because there is no need to move the data. All the data resides in a single database. So as soon as you make any changes, those changes are visible to customers for queries right away, which is not the case when you have different siloed specialized databases. >> Okay, that, a lot of ways to skin a cat and that what you just said makes sense. By the way, we were saying before, companies have taken off the shelf or open source database has shoved them in the cloud. I have to give Amazon some props. They actually have done engineering to Aurora and Redshift. And they've got the engineering capabilities to do that. But you can see, for example, in Redshift the way they handle separating compute from storage it's maybe not as elegant as some of the other players like a Snowflake, for example, but they get there and they, maybe it's a little bit more brute force but so I don't want to just make it sound like they're just hosting off the shelf in the cloud. But is it fair to say that there's like a crossover point? So in other words, if I'm smaller and I'm not, like doing a bunch of big, like us, I mean, it's fine. It's easy, I spin it up. It's cheaper than having to host my own servers. So there's, presumably there's a sweet spot for that approach and a sweet spot for your approach. Is that fair or do you feel like you can cover a wider spectrum? >> We feel we can cover the entire spectrum, not wider, the entire spectrum. And we have benchmarks published which are actually available on GitHub for anyone to try. You will see that this approach you have taken with the MySQL Database Service in HeatWave, we are faster, we are cheaper without having to move the data. And the mileage or the amount of improvement you will get, surely vary. So if you have less data the amount of improvement you will get, maybe like say 100 times, right, or 500 times, but smaller data sizes. If you get to lots of data sizes this improvement amplifies to 1000 times or 10,000 times. And similarly for the cost, if the data size is smaller, the cost advantage you will have is less, maybe MySQL HeatWave is one third the cost. If the data size is larger, the cost advantage amplifies. So to your point, MySQL Database Service in HeatWave is going to be better for all sizes but the amount of mileage or the amount of benefit you will get increases as the size of the data increases. >> Okay, so you're saying you got better performance, better cost, better price performance. Let me just push back a little bit on this because I, having been around for awhile, I often see these performance and price comparisons. And what often happens is a vendor will take the latest and greatest, the one they just announced and they'll compare it to an N-1 or an N-2, running on old hardware. So, is, you're normalizing for that, is that the game you're playing here? I mean, how can you, give us confidence that this is easier kind of legitimate benchmarks in your GitHub repo. >> Absolutely. I'll give you a bunch of like, information. But let me preface this by saying that all of our scripts are available in the open source in the GitHub repo for anyone to try and we would welcome feedback otherwise. So we have taken, yes, the latest version of MySQL Database Service in HeatWave, we have optimized it, and we have run multiple benchmarks. For instance, TBC-H, TPC-DS, right? Because the amount of improvement a query will get depends upon the specific query, depends upon the predicates, it depends on the selectivity so we just wanted to use standard benchmarks. So it's not the case that if you're using certain classes of query, excuse me, benefit, get them more. So, standard benchmarks. Similarly, for the other vendors or other services like Redshift, we have run benchmarks on the latest shapes of Redshift the most optimized configuration which they recommend, running their scripts. So this is not something that, hey, we're just running out of the box. We have optimized Aurora, we have optimized (indistinct) to the best and possible extent we can based on their guidelines, based on their latest release, and that's what you're talking about in terms of the numbers. >> All right. Please continue. >> Now, for some other vendors, if we get to the benchmark section, we'll talk about, we are comparing with other services, let's say Snowflake. Well there, there are issues in terms of you can't legally run Snowflake numbers, right? So there, we have looked at some reports published by Gigaom report. and we are taking the numbers published by the Gigaom report for Snowflake, Google BigQuery and as you'll see maps numbers, right? So those, we have not won ourselves. But for AWS Redshift, as well as AWS Aurora, we have run the numbers and I believe these are the best numbers anyone can get. >> I saw that Gigaom report and I got to say, Gigaom, sometimes I'm like, eh, but I got to say that, I forget the guy's name, he knew what he was talking about. He did a good job, I thought. I was curious as to the workload. I always say, well, what's the workload. And, but I thought that report was pretty detailed. And Snowflake did not look great in that report. Oftentimes, and they've been marketing the heck out of it. I forget who sponsored it. It is, it was sponsored content. But, I did, I remember seeing that and thinking, hmm. So, I think maybe for Snowflake that sweet spot is not, maybe not that performance, maybe it's the simplicity and I think that's where they're making their mark. And most of their databases are small and a lot of read-only stuff. And so they've found a market there. But I want to come back to the architecture and really sort of understand how you've able, you've been able to get this range of both performance and cost you talked about. I thought I heard that you're optimizing the chips, you're using ObjectStore. You're, you've got an architecture that's not using SSD, it's using ObjectStore. So this, is their cashing there? I wonder if you could just give us some details of the architecture and tell us how you got to where you are. >> Right, so let me start off saying like, what are the kind of numbers we are talking about just to kind of be clear, like what the improvements are. So if you take the MySQL Database Service in HeatWave in Oracle Cloud and compare it with MySQL service in any other cloud, and if you look at smaller data sizes, say data sizes which are about half a terabyte or so, HeatWave is 400 times faster, 400 times faster. And as you get to... >> Sorry. Sorry to interrupt. What are you measuring there? Faster in terms of what? >> Latency. So we take TCP-H 22 queries, we run them on HeatWave, and we run the same queries on MySQL service on any other cloud, half a terabyte and the performance in terms of latency is 400 times faster in HeatWave. >> Thank you. Okay. >> If you go to a lot of other data sites, then the other data point of view, we're looking at say something like, 4 TB, there, we did two comparisons. One is with AWS Aurora, which is, as you said, they have taken MySQL. They have done a bunch of innovations over there and we are offering it as a premier service. So on 4 TB TPC-H, MySQL Database Service with HeatWave is 1100 times faster than Aurora. It is three times faster than the fastest shape of Redshift. So Redshift comes in different flavors some talking about dense compute too, right? And again, looking at the most recommended configuration from Redshift. So 1100 times faster that Aurora, three times faster than Redshift and at one third, the cost. So this where I just really want to point out that it is much faster and much cheaper. One third the cost. And then going back to the Gigaom report, there was a comparison done with Snowflake, Google BigQuery, Redshift, Azure Synapse. I wouldn't go into the numbers here but HeatWave was faster on both TPC-H as well as TPC-DS across all these products and cheaper compared to any of these products. So faster, cheaper on both the benchmarks across all these products. Now let's come to, like, what is the technology underneath? >> Great. >> So, basically there are three parts which you're going to see. One is, improve performance, very good scale, and improve a lower cost. So the first thing is that HeatWave has been optimized and, for the cloud. And when I say that, we talked about this a bit earlier. One is we are using the cheapest shapes which are available. We're using the cheapest services which are available without having to compromise the performance and then there is this machine learning-based automation. Now, underneath, in terms of the architecture of HeatWave there are basically, I would say, four key things. First is, HeatWave is an in-memory engine that a presentation which we have in memory is a hybrid columnar representation which is optimized for vector process. That's the first thing. And that's pretty table stakes these days for anyone who wants to do in-memory analytics except that it's hybrid columnar which is optimized for vector processing. So that's the first thing. The second thing which starts getting to be novel is that HeatWave has a massively parallel architecture which is enabled by a massively partitioned architecture. So we take the data, we read the data from MySQL into the memory of the HeatWave and we massively partition this data. So as we're reading the data, we're partitioning the data based on the workload, the sizes of these partitions is such that it fits in the cache of the underlying processor and then we're able to consume these partitions really, really fast. So that's the second bit which is like, massively parallel architecture enabled by massively partitioned architecture. Then the third thing is, that we have developed new state-of-art algorithms for distributed query processing. So for many of the workloads, we find that joints are the long pole in terms of the amount of time it takes. So we at Oracle have developed new algorithms for distributed joint processing and similarly for many other operators. And this is how we're being able to consume this data or process this data, which is in-memory really, really fast. And finally, and what we have, is that we have an eye for scalability and we have designed algorithms such that there's a lot of overlap between compute and communication, which means that as you're sending data across various nodes and there could be like, dozens of of nodes or 100s of nodes that they're able to overlap the computation time with the communication time and this is what gives us massive scalability in the cloud. >> Yeah, so, some hard core database techniques that you've brought to HeatWave, that's impressive. Thank you for that description. Let me ask you, just to go to quicker side. So, MySQL is open source, HeatWave is what? Is it like, open core? Is it open source? >> No, so, HeatWave is something which has been designed and optimized for the cloud. So it can't be open source. So any, it's not open service. >> It is a service. >> It is a service. That's correct. >> So it's a managed service that I pay Oracle to host for me. Okay. Got it. >> That's right. >> Okay, I wonder if you could talk about some of the use cases that you're seeing for HeatWave, any patterns that you're seeing with customers? >> Sure, so we've had the service, we had the HeatWave service in limited availability for almost 15 months and it's been about five months since we have gone G. And there's a very interesting trend of our customers we're seeing. The first one is, we are seeing many migrations from AWS specifically from Aurora. Similarly, we are seeing many migrations from Azure MySQL we're migrations from Google. And the number one reason customers are coming is because of ease of use. Because they have their databases currently siloed. As you were talking about some for optimized for transactional processing, some for analytics. Here, what customers find is that in a single database, they're able to get very good performance, they don't need to move the data around, they don't need to manage multiple databaes. So we are seeing many migrations from these services. And the number one reason is reduce complexity of ease of use. And the second one is, much better performance and reduced costs, right? So that's the first thing. We are very excited and delighted to see the number of migrations we're getting. The second thing which we're seeing is, initially, when we had the service announced, we were like, targeting really towards analytics. But now what are finding is, many of these customers, for instance, who have be running on Aurora, when they are moving from MySQL in HeatWave, they are finding that many of the OLTP queries as well, are seeing significant acceleration with the HeatWave. So now customers are moving their entire applications or, to HeatWave. So that's the second trend we're seeing. The third thing, and I think I kind of missed mentioning this earlier, one of the very key and unique value propositions we provide with the MySQL Database Service in HeatWave, is that we provide a mechanism where if customers have their data stored on premise they can still leverage the HeatWave service by enabling MySQL replication. So they can have their data on premise, they can replicate this data in the Oracle Cloud and then they can run analytics. So this deployment which we are calling the hybrid deployment is turning out to be very, very popular because there are customers, there are some customers who for various reasons, compliance or regulatory reasons cannot move the entire data to the cloud or migrate the data to the cloud completely. So this provides them a very good setup where they can continue to run their existing database and when it comes to getting benefits of HeatWave for query acceleration, they can set up this replication. >> And I can run that on anyone, any available server capacity or is there an appliance to facilitate that? >> No, this is just standard MySQL replication. So if a customer is running MySQL on premise they can just turn off this application. We have obviously enhanced it to support this inbound replication between on-premise and Oracle Cloud with something which can be enabled as long as the source and destination are both MySQL. >> Okay, so I want to come back to this sort of idea of the architecture a little bit. I mean, it's hard for me to go toe to toe with the, I'm not an engineer, but I'm going to try anyway. So you've talked about OLTP queries. I thought, I always thought HeatWave was optimized for analytics. But so, I want to push on this notion because people think of this the converged database, and what you're talking about here with HeatWave is sort of the Swiss army knife which is great 'cause you got a screwdriver and you got Phillips and a flathead and some scissors, maybe they're not as good. They're not as good necessarily as the purpose-built tool. But you're arguing that this is best of breed for OLTP and best of breed for analytics, both in terms of performance and cost. Am I getting that right or is this really a Swiss army knife where that flathead is really not as good as the big, long screwdriver that I have in my bag? >> Yes, so, you're getting it right but I did want to make a clarification. That HeatWave is definitely the accelerator for all your queries, all analytic queries and also for the long running complex transaction processing inquiries. So yes, HeatWave the uber query accelerator engine. However, when it comes to transaction processing in terms of your insert statements, delete statements, those are still all done and served by the MySQL database. So all, the transactions are still sent to the MySQL database and they're persistent there, it's the queries for which HeatWave is the accelerator. So what you said is correct. For all query acceleration, HeatWave is the engine. >> Makes sense. Okay, so if I'm a MySQL customer and I want to use HeatWave, what do I have to do? Do I have to make changes to my existing applications? You applied earlier that, no, it's just sort of plugs right in. But can you clarify that. >> Yes, there are absolutely no changes, which any MySQL or MySQL compatible application needs to make to take advantage of HeatWave. HeatWave is an in-memory accelerator and it's completely transparent to the application. So we have like, dozens and dozens of like, applications which have migrated to HeatWave, and they are seeing the same thing, similarly tools. So if you look at various tools which work for analytics like, Tableau, Looker, Oracle Analytics Cloud, all of them will work just seamlessly. And this is one of the reasons we had to do a lot of heavy lifting in the MySQL database itself. So the MySQL database engineering team was, has been very actively working on this. And one of the reasons is because we did the heavy lifting and we meet enhancements to the MySQL optimizer in the MySQL storage layer to do the integration of HeatWave in such a seamless manner. So there is absolutely no change which an application needs to make in order to leverage or benefit from HeatWave. >> You said earlier, Nipun, that you're seeing migrations from, I think you said Aurora and Google BigQuery, you might've said Redshift as well. Do you, what kind of tooling do you have to facilitate migrations? >> Right, now, there are multiple ways in which customers may want to do this, right? So the first tooling which we have is that customers, as I was talking about the replication or the inbound replication mechanism, customers can set up heat HeatWave in the Oracle Cloud and they can send the data, they can set up replication within their instances in their cloud and HeatWave. Second thing is we have various kinds of tools to like, facilitate the data migration in terms of like, fast ingestion sites. So there are a lot of such customers we are seeing who are kind of migrating and we have a plethora of like, tools and applications, in addition to like, setting up this inbound application, which is the most seamless way of getting customers started with HeatWave. >> So, I think you mentioned before, I have my notes, machine intelligence and machine learning. We've seen that with autonomous database it's a big, big deal obviously. How does HeatWave take advantage of machine intelligence and machine learning? >> Yeah, and I'm probably going to be talking more about this in the future, but what we have already is that HeatWave uses machine learning to intelligently automate many operations. So we know that when there's a service being offered in the cloud, our customers expect automation. And there're a lot of vendors and a lot of services which do a good job in automation. One of the places where we're going to be very unique is that HeatWave uses machine learning to automate many of these operations. And I'll give you one such example which is provisioning. Right now with HeatWave, when a customer wants to determine how many nodes are needed for running their workload, they don't need to make a guess. They invoke a provisioning advisor and this advisor uses machine learning to sample a very small percentage of the data. We're talking about, like, 0.1% sampling and it's able to predict the amount of memory with 95% accuracy, which this data is going to take. And based on that, it's able to make a prediction of how many servers are needed. So just a simple operation, the first step of provisioning, this is something which is done manually across, on any of the service, whereas at HeatWave, we have machine learning-based advisor. So this is an example of what we're doing. And in the future, we'll be offering many such innovations as a part of the MySQL Database and the HeatWave service. >> Well, I've got to say I was skeptic but I really appreciate it, you're, answering my questions. And, a lot of people when you made the acquisition and inherited MySQL, thought you were going to kill it because they thought it would be competitive to Oracle Database. I'm happy to see that you've invested and figured out a way to, hey, we can serve our community and continue to be the steward of MySQL. So Nipun, thanks very much for coming to the CUBE. Appreciate your time. >> Sure. Thank you so much for the time, Dave. I appreciate it. >> And thank you for watching everybody. This is Dave Vellante with another CUBE Conversation. We'll see you next time. (bright upbeat music)

Published Date : Apr 28 2021

SUMMARY :

of the trends of the database market. So it's really been fun to watch and the strategy there, for the MySQL Database Service on the LAMP stack. And the fact that we have designed it optimized for the cloud I hear kind of the buzzwords, So the cost of the system Thank you. critical for the cloud. So that kind of made sense to me. So it's, the approach which has been taken By the way, we were saying before, the amount of improvement you will get, is that the game you're playing here? So it's not the case All right. and we are taking the numbers published of the architecture and if you look at smaller data sizes, Sorry to interrupt. and the performance in terms of latency Thank you. So faster, cheaper on both the benchmarks So for many of the workloads, to go to quicker side. and optimized for the cloud. It is a service. So it's a managed cannot move the entire data to the cloud as long as the source and of the architecture a little bit. and also for the long running complex Do I have to make changes So the MySQL database engineering team to facilitate migrations? So the first tooling which and machine learning? and the HeatWave service. and continue to be the steward of MySQL. much for the time, Dave. And thank you for watching everybody.

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Satyen Sangani, Alation | CUBEconversation


 

(soft music) >> Hey, welcome to this "CUBE Conversation". I'm Lisa Martin today talking to a CUBE alumni who's been on many times talking about data, all things data. Please welcome Satyen Sangani the Co-Founder and CEO of Alation. Satyen, it's great to have you back on theCUBE. >> Hi Lisa, it's great to see you too. It's been a while. >> It has been a while. And of course in the last year we've been living in this virtual world. So, I know you've gotten to be on theCUBE during this virtual world. Hopefully someday soon, we'll get to actually sit down together again. There's some exciting news that's coming out of Alation. Talk to us about what's going on. What are you announcing? >> So we're announcing that we are releasing our Alation Cloud Service which actually comes out today, and is available to all of our customers. And as a consequence are going to be the fastest, easiest deploy and easiest to use data catalog on the Marketplace, and using this release to really double down on that core differentiation. >> So the value prop for Alation has always been about speed to deployment, time to value. Those have really been, what you've talked about as the fundamental strengths of the platform. How does the cloud service double down on that value prop? >> Well, if you think about data, our basic premise and the reason that we exist is that, people could use data with so many of their different decisions. People could use data to inform their thinking. People can use data in order to figure out what decision is the best decision at any given point in time. But often they don't. Often gut instinct, or whatever's most fast or easy to access is the basis off of which people decide to do what they do. And so if you want to get people to use data more often you've got to make sure that the data is available that the data is correct, and that the data is easy to find and leverage. And so everything that we can do at Alation to make data more accessible, to allow people to be more curious, is what we get excited about. Because unlike, paying your payables or unlike, figuring out whether or not you want to be able to have greater or lesser inventory, those are all things that a business absolutely has to do but people don't have to use data. And to get people to use data, the best thing you can do is to make it easy and to make it fast. >> And speaking of fast, that's one of the things I think the last year has taught us is that, real-time access to data is no longer a nice to have. It's really a competitive differentiator. Talk to me about how you enable customers to get access to the right data fast enough, to be able to do what so many companies say, and that is actually make data-driven decisions. >> Yeah, that's absolutely right. So, it really is a entire continuum. The first and most obvious thing that we do is we start with the user. So, if you're a user of data, you might have to hunt through a myriad of reports, thousands of tables in a database, hundreds of thousands of files in a data lake, and you might not know where to find your answer and you might have the best of intentions but if you don't have the time to go through all of those sources, the first thing you might do is, go ask your buddy down the hall. Now, if your buddy down the hall or your colleague over Zoom can't give you the time of day or can't answer your question quickly enough then you're not going to be able to use that data. So the first thing, and the most obvious thing that we do is we have the industry's best search experience and the industry's best browse experience. And if you think about that search experience, that's really fueled by our understanding of all of the data patterns in your data environment. We basically look at every search. We look at every log within a company's data environment to understand what it is that people are actually doing with the data. And that knowledge just like Google has page rank to help it inform which are the best results for a given webpage. We do the exact same thing with data. And so great search is the basis of what we do. Now, above and beyond that, there's a couple of other things that we do, but they all get to the point of getting to that end search experience and making that perfect so that people can then curate the data and leverage the data as easily as possible. >> Sounds like that's really kind of personalized based on the business, in terms of the search, looking at what's going on. Talk to me a little bit more about that, and how does that context help fuel innovation? >> Yeah. So, to build that context, you can't just do, historically and traditionally what's been done in the data management space. Lots of companies come to the data management world and they say, "Well, what we're going to do is we're going to hire... "We've got this great software. "But setting the software up is a journey. "It takes two to three to four years to set it up "and we're going to get an army of consultants "and everybody's going to go and assert quality of data assets "and measure what the data assets do "and figure out how the data assets are used. "And once we do all of that work, "then in four years we're going to get you to a response." The real key is not to have that context to be built, sort of through an army of consultants and an army of labor that frankly nine times out of 10 never gets to the end of the road. But to actually generate that context day one, by understanding what's going on inside of those systems and learning that by just observing what's happening inside of the company. And we can do that. >> Excellent. And as we've seen the acceleration in the last year of digital transformation, how much of that accelerant was an accelerator revelation putting this service forward and what are customers saying so far? >> Yeah, it's been incredible. I mean, what we've seen in our existing accounts is that, our expansions have gone up by over 100% year over year with the kind of crisis in place. Obviously, you would hypothesize that these catalogs, these, sort of accessibility and search tools and data in general, would be leveraged more when all of us are virtual and all of us can't talk to each other. But, it's been amazing to see that we've found that that's actually what's happening. People are actually using data more. People are actually searching for data more. And that experience and bringing that to our customers has been a huge focus of what we're trying to do. So we've seen the pandemic, in many cases obviously been bad for many people but for us it's been a huge accelerant of customers using our product. >> Talk to me about Alation with AWS. What does that enable your customers to achieve that they maybe couldn't necessarily do On-Prem? >> Yeah, so, customers obviously don't really care anymore, or as much as they used to, about managing the software internally. They just want to be able to, get whatever they need to get done and move forward with their business. And so by leveraging our partnership with AWS, one, we've got elastic compute capability. I think that's obviously, something that they bring to the table, better than perhaps any other in the market. But much more fundamentally, the ability to stand up Alation and get it going, now means that all you have to do is go to the AWS Marketplace or call up an Alation rep. And you can, within a matter of minutes, get an Alation instance that's up and running and fit for purpose for what you need. And that capability is really quite powerful because, now that we have that elasticity and the speed of deployment, customers can realize the value, so much more quickly than they otherwise might've. >> And that speed is absolutely critical as we saw a lot last year that was the difference between the winners and those that were not going to make it. Talk to me a little bit about creating a data culture. We talk about that a lot. It's one thing to talk about it, it's a whole other thing to put it in place, especially for legacy institutions that have been around for a while. How do you help facilitate the actual birth of a data culture? >> Yeah, I mean, I think we view ourselves as a technology, as a catalyst, to our best customers and our best customer champions. And when we talk to chief data officers and when we talk to data leaders within various organizations that we service, organizations like Pfizer, organizations like Salesforce, organizations like Cisco, what they often tell me is, "Look, we've got to build products faster. "We've got to move at the speed and the scale "of all of the startups that are nipping at our heels. "And how do we do that? "Well, we've got to empower our people "and the way that we empower our people "is by giving them context. "And we need to give them the data "to make the right decisions, "so that they can build those products "and move faster than they ever might've." Now those are amazing intentions but those same leaders also come and say, "I've just been mired in risk "and I've been mired in compliance, "and I've been mired in "doing all of these data janitorial projects. "And it's really hard for me to get "on the offense with data. "It's really hard for me to get proactive with data." And so the biggest thing that we do, is we just help companies be more proactive, much more easily, because what they're able to do, is they're able to leave a lot of that janitorial work, lead a lot of that discovery work, lead a lot of that curation work to the software. And so what they get to focus on is, how is it that I can then drive change and drive behavioral change within my organizations so that people have the right data at their disposal. And that's really the magic of the technology. >> So I was reading the "Alation State of Data Culture Report" that was just published a few weeks ago. This is this quarterly assessment that Alation does, looking at the progress that enterprises have made in creating this data culture. And the number that really struck out at me was 87% of respondents say, data quality issues are a barrier to successful implementation of AI in their organizations. How can Alation help them solve that problem? >> Yeah, I think the first is, whenever you've got a problem, the first thing you've got to do is acknowledge that you've got a problem. And a lot of the time people, leaders will often jump to AI and say, "well, hey, everybody's talking about AI. "The board level conversation is AI. "McKinsey is talking about AI, let's go do some AI." And that sounds great in theory. And of course we all want to do that more, but the reality is that many of these projects are stymied by the basic plumbing. You don't necessarily know where the data's coming from. You don't know if people have entered it properly in the source systems or in the systems that are online. Those data often get corrupted in the transformation processes or the processes themselves don't run appropriately. And so you don't have transparency. You don't have any awareness of what people are doing, what people are using, how the data is actually being manipulated from step to step, what that data lineage is. And so that's really where we certainly help many of our customers by giving them transparency and an understanding of their data landscape. Ironically, what we find is that, data leaders are super excited to get data to the business but they often don't themselves have the data to understand how to manage the data itself. >> Wow, that's a conundrum. Let's talk about customers because I was looking on the website and there's some pretty big metrics-based business outcomes that Alation is helping customers drive. I wanted to kind of pick through some examples from your perspective. First one is 364% ROI. Second one is 70% less time for analysts to complete projects. Workforce productivity is huge. Talk to me about how Alation is helping customers achieve business outcomes like that. >> Yeah, so if you think about a typical analytical project you would think that most of the time is spent inside of the analytical tool, inside of your Excel, inside of your Tableau, that where you're thinking about the data and you're analyzing it, you're thinking deep thoughts. And you're trying to hypothesize you're trying to understand. But the reality is going back to the data quality issue that most of the time is spent with figuring out which are the right datasets. Because at one of our customers, for example, there were 4,000 different types of customer transaction datasets, that spoke to the exact same data. Which data set do I actually use out of a particular database? And then once I figured out which ones to use, how do I construct the appropriate query and assumptions in order to be able to get the data into a format that makes sense to me. Those are the kinds of things that most analysts and data scientists struggle with. And what we do is we help them by not having them reinvent the wheel. We allow them to figure out what the right dataset is fast, how to manipulate it fast, so that they can focus most of their time on doing that end analytical work. And that's where all the ROI or a lot of the ROI is coming from because they don't know how to reinvent the wheel. They can do the work and they can move on with the much faster business decision which means that that business moves significantly faster. And so what we find is that for these very highly priced resources, some data scientists who make 200, 300, $400,000 fully load it for a company, those people can do their job 74% faster which means they can get not only the answer faster but they can get many more tasks done, for over a given period of time. >> Well, that just opens up a potential suite of benefits that the organization will achieve, not just getting the analyst productivity cranked up in a big way, but also allowing your organization to be more agile which many organizations are striving to be. to be able to identify new products, new services, what's happening, especially, in a changing chaotic environment like we've been living in the last year. >> Yeah, absolutely. And they also can learn... Not only can they help themselves figure out what new products to launch, but they can also help themselves figure out where their risks happen to be, and where they need to comply, because it could be the case that analysts are using datasets that they ought not to be using or the businesses using the data incorrectly. And so you can find both the patterns but also the anti-patterns, which means that you're not only moving faster, but you're moving forward with less risk. And so we've seen so many failures with data governance, regimes, where people have tried to assert the quality of data and figure out the key data elements and develop a business glossary. And there's that great quote, "I wanted data governance but all I got is a data glossary." That all happens because, they just don't have enough time in the day to do the value added work. They only have enough time in the day to start doing the data cleaning and all of the janitorial work that we, as a company, really strive to allow them to completely eliminate. >> So wrapping things up here, Alation Cloud Service. Tell me about when it's available, how can customers get it? >> So it's available today, which is super exciting. Customers can get it either through the AWS Marketplace or by calling your Alation representative. You can do that coming to our website. And that's super easy to do and getting a demo and moving forward. But we try to make it as easy as possible. And we really want to get out of the way, of allowing people to have a seamless frictionless experience and are super excited to have this cloud service that allows them to do that, even faster than they were able to do before. >> And we all know how important that speed is. Well, Satyen, congratulations on the announcement of Alation Cloud Service. We appreciate you coming on here and sharing with us the news and really what's in it for the customers. >> Thank you, Lisa. It's been phenomenal catch up and great seeing you. >> Likewise. For Satyen Sangani, I'm Lisa Martin. You're watching this "CUBE Conversation." (soft music)

Published Date : Apr 7 2021

SUMMARY :

Satyen, it's great to Hi Lisa, it's great to see you too. And of course in the last year and is available to all of our customers. of the platform. and that the data is easy to find Talk to me about how you enable customers and leverage the data and how does that context that context to be built, how much of that accelerant bringing that to our customers Talk to me about Alation with AWS. something that they bring to the table, And that speed is absolutely critical And so the biggest thing that we do, And the number that And a lot of the time people, Talk to me about how that most of the time is spent with suite of benefits that the that they ought not to be using how can customers get it? You can do that coming to our website. on the announcement of up and great seeing you. (soft music)

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