>>Hey everyone, and welcome back to The Cube's live coverage of AWS Reinvented 2022 Live from the Venetian Expo in Las Vegas. We're happy to be back. This is first full day of coverage over here last night. We've got three full days of coverage in addition to last night, and there's about 50,000 people here. This event is ready, people are ready to be back, which is so exciting. Lisa Martin here with Paul Gill and Paul, it's great to be back in person. Great to be hosting with you >>And likewise with you, Lisa. I think the first time we hosted again, >>It is our first time exactly. >>And we come here to the biggest event that the cube ever does during the year. >>It's the Super Bowl of the >>Cube. It's it's elbow to elbow out there. It's, it's, it's full tackle football, totally on the, on the floor of reinvent. And very exciting. This, you know, I've been to a lot of conferences going back 40 years, long as I can remember. Been going to tech conferences. This one, the, the intensity, the excitement around this is really unusual. People are jazzed, they're excited to be here, and that's great to see, particularly coming back from two years of isolation. >>Absolutely. The energy is so palpable. Even yesterday, evening, afternoon when I was walking in, you just feel it with all the people here. You know, we talk to so many different companies on the Q Paul. Every company these days has to be a data company. The most important thing about data is making sure that it's backed up and it's protected, that it's secure, that it can be recovered if anything happens. So we're gonna be having a great conversation next about data resiliency with one of our alumni. >>And that would be Rick Scott, Rick, excuse me, Rick Scott, >>Rick Clark. Rick Clark, say Rick Scott, cloud sales Veritas. Rick, welcome back >>To the program. Thank you. Thank you so much. It's a pleasure being here, you know, thank you so much. You're definitely very excited to myself and 40,000 of my closest cousins and friends all in one place. Yep. Or I could possibly go wrong, right? So >>Yeah, absolutely nothing. So, Rick, so Veritas has made some exciting announcements. Talk to us about some of the new things that you've >>Unveiled. Yeah, we've been, we've been incredibly busy and, you know, the journey that we've been on, one of the big announcement that we made about three or four weeks ago is the introduction, really, of a brand new cloud native data management platform that we call Veritas Alta. And this is a journey that we've been on for the better part of seven years. We actually started it with our, our flex appliances. We continued, that was a containerization of our traditional net backup business in, into a highly secured appliance that was loved by our customers. And we continued that theme and that investment into what we call a scale out and scale up form factor appliance as well, what we called flex scale. And then we continued on that investment theme, basically spending over a billion dollars over that seven year journey in our cloud native. And we call that basically the Veritas altar platform with our cloud native platform. And I think if you really look at what that is, it truly is a data management platform. And I emphasize the term cloud native. And so our traditional technologies around data protection, obviously application resiliency and digital compliance or data compliance and governance. We are the only, the first and only company in the world to provide really a cloud optimized, cloud native platform, really, that addresses that. So it's been fun, it's been a fun journey. >>Talk a little bit about the customer experience. I see over 85% of the Fortune 100 trust Veritas with their data management. That's >>A big number. Yeah. Yeah. It's, it is incredible actually. And it really comes back to the Veritas older platform. We sort of built that with, with four tenants in mind, all driving back to this very similar to AWS's customer obsession. Everything we do each and every day of our waiting moments is a Veritas employee is really surrounds the customer. So it starts with the customer experience on how do they find us to, how do they procure our solutions through things like AWS marketplace and how do they deploy it? And the second thing is around really cost optimization, as we know, you know, to, to say that companies are going through a digital transformation and moving workloads to the cloud. I mean, I've got customers that literally were 20% in cloud a year ago and 80% a year later, we've never seen that kind of velocity. >>And so we've doubled down on this notion of cost optimization. You can only do that with these huge investments that I talked about. And so we're a very profitable company. We've been around, got a great heritage of over 30 years, and we've really taken those investments in r and d to provide that sort of cloud native technology to ultimately make it elastic. And so everything from will spin up and spin down services to optimize the cloud bill for our customers, but we'll also provide the greatest workload support. You know, obviously on-prem workloads are very different from cloud workloads and it's almost like turning the clock back 20 years to see all of those new systems. There's no standard API like s and MP on the network. And so we have to talk to every single PAs service, every single DB PAs, and we capture that information and protect it. So it's really has been a phenomenal journey. It's been great. >>You said this, that that al represents a shift from clouds from flex scale to cloud native. What is the difference there? >>The, the main difference really is we took, you know, obviously our traditional product that you've known for many media years, net backup. It's got, you know, tens of millions of lines of code in that. And we knew if we lifted and shifted it up into the cloud, into an I AEs infrastructure, it's just not, it obviously would perform extremely well, but it wasn't cost optimized for our customer. It was too expensive to to run. And so what we did is we rewrote with microservices and containerization, Kubernetes huge parts of that particular product to really optimize it for the cloud. And not only have we done it for that technology, what we now call alter data protection, but we've done it across our entire port portfolio. That was really the main change that we made as part of this particular transition. And >>What have you done to prepare customers for that shift? Is this gonna be a, a drop in simple upgrade for them? >>Absolutely. Yeah. In fact, one of the things that we introduced is we, we invest still very heavily with regards to our OnPrem solutions. We're certainly not abandoning, we're still innovating. There's a lot of data still OnPrem that needs to move to the cloud. And so we have a unique advantage of all of the different workload supports that we provide OnPrem. We continue that expansion into the cloud. So we, we create it as part of the Veritas AL Vision, a technology, we call it AL view. So it's a single painter glass across both OnPrem and cloud for our customers. And so now they can actually see all of their data protection, all our application availability, single collect, all through that single unified interface, which is really game changing in the industry for us. >>It's game changing for customers too, because customers have what generally six to seven different backup technologies in their environment that they're having to individually manage and provision. So the, the workforce productivity improvements I can imagine are, are huge with Veritas. >>Yeah. You you nailed it, right? You must have seen my script, but Absolutely. I mean, I look at the analogy of, you think about the airlines, what's one of the first things airlines do with efficiency? South Southwest Airlines was the best example, a standardized on the 7 37, right? And so all of their pilots, all of their mechanics, all know how to operate the 7 37. So we are doing the same thing with enterprise data protection. So whether you're OnPrem at the edge or in the cloud or even multi-cloud, we can provide that single painter glass. We've done it for our customers for 30 plus years. We'll continue to do it for another 30 something years. And so it's really the first time with Veritas altar that, that we're, we're coming out with something that we've invested for so long and put, put such a huge investment on that can create those changes and that compelling solution for our customers. So as you can see, we're pretty pumped and excited about it. >>Yes, I can >>Use the term data management to describe Alta, and I want to ask about that term because I hear it a lot these days. Data management used to be database, now data management is being applied to all kinds of different functions across the spectrum. How do you define data management in Veritas >>Perspective? Yeah, there's a, we, we see it as really three main pillars across the environment. So one is protection, and we'll talk a little bit about this notion of ransomware is probably the number one use case. So the ability to take the most complex and the biggest, most vast applications. SAP is an example with hundreds of different moving parts to it and being able to protect that. The second is application resiliency. If, if you look at the cloud, there's this notion of, of responsibility, shared responsibility in the cloud. You've heard it, right? Yep. Every single one of the cloud service providers, certainly AWS has up on their website, this is what we protect, here's the demarcation line, the line in the sand, and you, the customer are responsible for that other level. And so we've had a technology, you previously knew it as InfoScale, we now call it alter application resiliency. >>And it can provide availability zone to availability zone, real time replication, high availability of your mission critical applications, right? So not only do we do the traditional backups, but we can also provide application resiliency for mission critical. And then the third thing really from a data management standpoint is all around governance and compliance. You know, ac a lot of our customers need to keep data for five, 10 years or forever. They're audited. There's regulations and different geographies around the world. And, and those regulations require them to be able to really take control of their cloud, take control of their data. And so we have a whole portfolio of solutions under that data compliance, data government. So back to your, your question Paul, it's really the integration and the intersection of those three main pillars. We're not a one trick pony. We've been at this for a long time, and they're not just new products that we invented a couple of months ago and brought to market. They're tried and tested with eight 80,000 customers and the most complex early solutions on the planet that we've been supporting. >>I gotta ask you, you know, we talked about those three pillars and you talked about the shared responsibility model. And think of that where you mentioned aws, Salesforce, Microsoft 365, Google workspace, whatnot. Are you finding that most customers aren't aware of that and haven't been protecting those workloads and then come to you and saying, Hey guys, guess what, this is what this is what they're responsible for. The data is >>You Yeah, I, it's, it's our probably biggest challenge is, is one of awareness, you know, with the cloud, I mean, how many times have you spoken to someone? You just put it in the cloud. Your applications, like the cloud providers like aws, they'll protect everything. Nothing will ever go down. And it's kind like if you, unless your house was ever broken into, you're probably not gonna install that burglar alarm or that fire alarm, right? Hopefully that won't be an event that you guys have to suffer through. So yeah, it's definitely, it wasn't till the last year or so the cloud service providers really published jointly as to where is their responsibility, right? So a great example is an attack vector for a lot of corporations is their SAS applications. So, you know, whether it it's your traditional SA applications that is available that's available on the web to their customers as a sas. >>And so it's certainly available to the bad actors. They're gonna, where there's, there's gonna be a point they're gonna try to get in. And so no matter what your resiliency plan is, at the end of the day, you really need to protect it. And protection isn't just, for example, with M 365 having a snapshot or a recycle bin, that's just not good enough. And so we actually have some pretty compelling technology, what we call ALTA SAS protection, which covers the, pretty much the, the gamut of the major SAS technologies to protect those and make it available for our customers. So yeah, certainly it's a big part of it is awareness. Yeah. >>Well, I understand that the shared responsibility model, I, I realize there's a lot of confusion about that still, but in the SaaS world that's somewhat different. The responsibility of the SaaS provider for protecting data is somewhat different. How, how should, what should customers know about that? >>I think, you know, the, the related to that, if, if you look at OnPrem, you know, approximately 35 to 40% of OnPrem enterprise data is protected. It's kind of in a long traditional problem. Everyone's aware of it. You know, I remember going to a presentation from IBM 20 something years ago, and someone held their push hand up in the room about the dis drives and says, you need to back it up. And the IBM sales guy said, no, IBM dis drives never crash. Right? And so fast forward to here we are today, things have changed. So we're going through almost a similar sort of changes and culture in the cloud. 8% of the data in the cloud is protected today, 8%. That's incredible. Meaning >>That there is independent backup devoted >>To that data in some cases, not at all. And something many cases, the customer just assumes that it's in the cloud, therefore it's always available. I never have to worry about protecting it, right? And so that's a big problem that we're obviously trying to, trying to solve. And we do that all under the umbrella of ransomware. That's a huge theme, huge investment that, that Veritas does with regards to providing that resiliency for our >>Customers. Ransomware is scary. It is becoming so prolific. The bad actors have access to technologies. Obviously companies are fighting them, but now ransomware has evolved into, no longer are we gonna get hit, it's when, yeah, it's how often it's what's the damage going to be. So the ability to help customers recover from ransomware, that resiliency is table stakes for businesses in any industry these days. Does that, that one of the primary pain points that your customers are coming to you with? >>It's the number one pain point. Yeah, it's, it's incredible. I mean, there's not a single briefing that our teams are doing customer meetings where that term ransomware doesn't come up as, as their number one use case. Just to give you something, a couple of statistics. There's a ransomware attack attack that happens 11 times a second right around the globe. And this isn't just, you know, minor stuff, right? I've got friends that are, you know, executives of large company that have been hit that have that some, you know, multimillion dollar ransom attack. So our, our play on this is, when you think about it, is data protection is the last line of defense. Yes. And so if they break through, it's not a case, Lisa, as you mentioned, if it's a case of when Yeah. And so it's gonna happen. So one of the most important things is knowing how do you know you have a gold copy, a clean copy, and you can recover at speed in some cases. >>We're talking about tens of thousands of systems to do that at speed. That's in our dna. We've been doing it for many, many years. And we spoke through a lot of the cyber insurance companies on this particular topic as well. And what really came back from that is that they're actually now demanding things like immutable storage, malware detection, air gaping, right? Anomaly detection is sort of core technologies tick the box that they literally won't ensure you unless you have those core components. And so what we've done is we've doubled down on that investment. We use AI in ML technologies, particularly around the anomaly detection. One of the, the, the unique and ne differentiators that Verto provides is a ransomware resiliency scorecard. Imagine the ability to save uran a corporation. We can come in and run our analytics on your environment and kind of give you a grade, right? Wouldn't you prefer that than waiting for the event to take place to see where your vulnerability really is? And so these are some of the advantages that we can actually provide for our customers, really, really >>To help. Just a final quick question. There is a, a common perception, I believe that ransomware is an on premise problem. In fact, it is also a cloud problem. Is that not right? >>Oh, absolutely. I I think that probably the biggest attack vector is in the cloud. If it's, if it's OnPrem, you've certainly got a certain line of defense that's trying to break through. But, you know, you're in the open world there. Obviously with SAS applications in the cloud, it's not a case of if, but when, and it's, and it's gonna continue to get, you know, more and more prevalent within corporations. There's always gonna be those attack factors that they find the, the flash wounds that they can attack to break through. What we are concentrating on is that resiliency, that ability for customers to recover at speed. We've done that with our traditional appliances from our heritage OnPrem. We continue to do that with regard to resiliency at speed with our customers in the cloud, with partners like aws >>For sure. Almost done. Give me your 30 seconds on AWS and Veritas. >>We've had a partnership for the better part of 10 years. It's incredible when you think about aws, where they released the elastic compute back in 2006, right? We've been delivering data protection, a data management solutions for, for the better part of 30 years, right? So, so we're, we're Junos in our space. We're the leader in, in data protection and enterprise data protection. We were on-prem. We, we continue to be in the cloud as AWS was with the cloud service provided. So the synergies are incredible. About 80 to 85% of our, our joint customers are the same. We take core unique superpowers of aws, like AWS outposts and AWS Glacier Instant retrieval, for example, those core technologies and incorporate them into our products as we go to Mark. And so we released a core technology a few months ago, we call it ultra recovery vault. And it's an air gap, a mutable storage, worm storage, right Once, right? You can't change it even when the bad actors try to get in. They're independent from the customer's tenant and aws. So we manage it as a managed backup service for our customers. Got it. And so our customers are using that to really help them with their ransomware. So it's been a tremendous partnership with AWS >>Standing 10 years of accounting. Last question for you, Rick. You got a billboard on the 1 0 1 in Santa Clara, right? By the fancy Verto >>1 0 1? >>Yeah. Right. Well, there's no traffic. What does that billboard say? What's that bumper sticker about? Vertus, >>I think, I think the billboard would say, welcome to the new Veritas. This is not your grandfather's old mobile. We've done a phenomenal job in, in the last, particularly the last three or four years, to really reinvent ourselves in the cloud and the investments that we made are really paying off for our customers today. So I'm excited to be part of this journey and excited to talk to you guys today. >>Love it. Not your grandfather's Veritas. Rick, thank you so much for joining Paula, me on the forgot talking about what you guys are doing, how you're helping customers, really established that cyber of resiliency, which is absolutely critical these days. We appreciate your >>Time. My pleasure. Thank you so much. >>All right, for our guest and Paul Gilland, I'm Lisa Martin, you're watching the Queue, which as you know is the leader in live enterprise and emerging check coverage.

(upbeat music) >> We're here on theCube covering AWS Storage Day 2022. Kevin Miller joins us. He's the vice president and general manager of Amazon S3. Hello, Kevin, good to see you again. >> Hey Dave, it's great to see you as always. >> It seems like just yesterday we were celebrating the 15th anniversary of S3, and of course the launch of the modern public cloud, which started there. You know, when you think back Kevin, over the past year, what are some of the trends that you're seeing and hearing from customers? What do they want to see AWS focus more on? What's the direction that you're setting? >> Yeah, well Dave, really I think there's probably three trends that we're seeing really pop this year. I think one just given the kind of macroeconomic situation right now is cost optimization. That's not a surprise. Everyone's just taking a closer look at what they're using, and where they might be able to pair back. And you know, I think that's a place that obviously S3 has a long history of helping customers save money. Whether it's through our new storage classes, things like our Glacier Instant Retrieval, storage class that we launched to reinvent last year. Or things like our S3 storage lens capability to really dig in and help customers identify where their costs are are being spent. But so certainly every, you know, a lot of customers are focused on that right now, and for obvious reasons. I think the second thing that we're seeing is, just a real focus on simplicity. And it kind of goes hand in hand with cost optimization, because what a lot of customers are looking for is, how do I take the staff that I have, and do more this year. Right, continue to innovate, continue to bring new applications or top line generating revenue applications to the market, but not have to add a lot of extra headcount to do that. And so, what they're looking for is management and simplicity. How do I have all of this IT infrastructure, and not have to have people spending a lot of their time going into kind of routine maintenance and operations. And so that's an area that we're spending a lot of time. We think we have a lot of capability today, but looking at ways that we can continue to simplify, make it easier for customers to manage their infrastructure. Things like our S3 intelligent tiering storage class, which just automatically gives cost savings for data that's not routinely accessed. And so that's a big focus for us this year as well. And then I think the last and probably third thing I would highlight is an emerging theme or it's been a theme, but really continuing to increase in volume, is all around sustainability. And you know, our customers are looking for us to give them the data and the assurances for them, for their own reports and their own understanding of how sustainable is my infrastructure. And so within AWS, of course, you know we're on a path towards operating with 100% renewable energy by 2025. As well as helping the overall Amazon goal of achieving net zero carbon by 2040. So those are some big lofty goals. We've been giving customers greater insights with our carbon footprint tool. And we think that, you know the cloud continues to be just a great place to run and reduce customer's carbon footprint for the similar you know, storage capacity or similar compute capacity. But that's just going to continue to be a trend and a theme that we're looking at ways that we can continue to help customers do more to aggressively drive down their carbon footprint. >> I mean, it makes sense. It's like you're partnering up with the cloud, you know, you did same thing on security, you know, there's that shared responsibility model, same thing now with ESG. And on the macro it's interesting Kevin, this is the first time I can remember where, you know it used to be, if there's a downturn it's cost optimization, you go to simplicity. But at the same time with digital, you know, the rush to digital, people still are thinking about, okay how do I invest in the future? So but let's focus on cost for a moment then we'll come back to sort of the data value. Can you tell us how AWS helps customers save on storage, you know, beyond just the price per terabyte actions that you could take. I mean I love that, you guys should keep doing that. >> Absolutely. >> But what other knobs are you turning? >> Yeah, right and we've had obviously something like 15 cost reductions or price reductions over the years, and we're just going to continue to use that lever where we can, but it's things like the launch of our Glacier Instant Retrieval storage class that we did last year at Reinvent, where that's now you know, 4/10ths of a cent per gigabyte month. For data that customers access pretty infrequently maybe a few times a year, but they can now access that data immediately and just pay a small retrieval fee when they access that data. And so that's an example of a new capability that reduces customer's total cost of ownership, but is not just a straight up price reduction. I mentioned S3 Intelligent-Tiering, that's another case where, you know, when we launch Glacier Instant Retrieval, we integrated that with Intelligent-Tiering as well. So we have the archive instant access tier within Intelligent-Tiering. And so now data that's not accessed for 90 days is just automatically put into AIA and and then results in a reduced storage cost to customers. So again, leaning into this idea that customers are telling us, "Just do, you know what should be done "for my data to help me reduce cost, can you just do it, "and sort of give me the right defaults." And that's what we're trying to do with things like Intelligent-Tiering. We've also, you know, outside of the S3 part of our portfolio, we've been adding similar kinds of capabilities within some of our file services. So things like our, you know elastic file service launched a one zone storage class as well as an intelligent tiering capability to just automatically help customers save money. I think in some cases up to 92% on their their EFS storage costs with this automatic intelligent tiering capability. And then the last thing I would say is that we also are just continuing to help customers in other ways, like I said, our storage lens is a great way for customers to really dig in and figure out. 'Cause you know, often customers will find that they may have, you know, certain data sets that someone's forgotten about or, they're capturing more data than they expected perhaps in a logging application or something that ends up generating a lot more data than they expected. And so storage lens helps them really zoom in very quickly on, you know this is the data, here's how frequently it's being accessed and then they can make decisions about use that data I keep, how long do I keep it? Maybe that's good candidates to move down into one of our very cold storage classes like Glacier Deep Archive, where they they still have the data, but they don't expect to need to actively retrieve it on a regular basis. >> SDL bromide, if you can measure it, you can manage it. So if I can see it, visualize it, that I can take actions. When you think about S3- >> That's right. it's always been great for archival workloads but you made some updates to Glacier that changed the way that we maybe think about archive data. Can you talk about those changes specifically, what it means for how customers should leverage AWS services going forward? >> Yeah, and actually, you know, Glacier's coming up on its 10 year anniversary in August, so we're pretty excited about that. And you know, but there's just been a real increase in the pace of innovation, I think over the last three or four years there. So we launched the Glacier Deep Archive capability in 2019, 2018, I guess it was. And then we launched Glacier Instant Retrieval of course last year. So really what we're seeing is we now have three storage classes that cover are part of the Glacier family. So everything from millisecond retrieval for that data, that needs to be accessed quickly when it is accessed, but isn't being accessed, you know, regularly. So maybe a few times a year. And there's a lot of use cases that we're seeing really quickly emerge for that. Everything from, you know, user generated content like photos and videos, to big broadcaster archives and particularly in media and entertainment segment. Seeing a lot of interest in Glaciers Instant Retrieval because that data is pretty cold on a regular basis. But when they want to access it, they want a huge amount of data, petabytes of data potentially back within seconds, and that's the capability we can provide with Glacier Instant Retrieval. And then on the other end of the spectrum, with Glacier Deep Archive, again we have customers that have huge archives of data that they be looking to have that 3-AZ durability that we provide with Glacier, and make sure that data is protected. But really, you know expect to access it once a year if ever. Now it could be a backup copy of data or secondary or tertiary copy of data, could be data that they just don't have an active use for it. And I think that's one of the things we're starting to see grow a lot, is customers that have shared data sets where they may not need that data right now but they do want to keep it because as they think about, again these like new applications that can drive top line growth, they're finding that they may go back to that data six months or nine months from now and start to really actively use it. So if they want that option value to keep that data so they can use it down the road, Glacier Deep Archive, or Glacier Flexible Retrieval, which is kind of our storage class right in the middle of the road. Those are great options for customers to keep the data, keep it safe and secure, but then have it, you know pretty accessible when they're ready to get it back. >> Got it, thank you for that. So, okay, so customers have choices. I want to get into some of the competitive differentiators. And of course we were talking earlier about cost optimization, which is obviously an important topic given the macro environment you know, but there's more. And so help us understand what's different about AWS in terms of helping customers get value from their data, cost reduction as a component of value, part of the TCO, for sure. But just beyond being a cloud bit bucket, you know just a storage container in the cloud, what are some of the differentiators that you can talk to? >> Yeah, well Dave, I mean, I think that when it comes to value, I think there's tremendous benefits in AWS, well beyond just cost reduction. I think, you know, part of it is S3 now has built, I think, an earned reputation for being resilient, for storing, you know, at massive scale giving customers that confidence that they will be able to scale up. You know, we store more than 200 trillion objects. We regularly peak at over 100 million requests per second. So customers can build on S3 and Glacier with the confidence that we're going to be there to help their applications grow and scale over time. And then I think that in all of the applications both first party and third party, the customers can use, and services that they can use to build modern applications is an incredible benefit. So whether it's all of our serverless offerings, things like Lambda or containers and everything we have to manage that. Or whether it's the deep analytics and machine learning capabilities we have to help really extract, you know value and insight from data in near real time. You know, we're just seeing an incredible number of customers build those kinds of applications where they're processing data and feeding their results right back into their business right away. So I'm just going to briefly mention a couple, like, you know one example is ADP that really helps their customers measure, compare and sort of analyze their workforce. They have a couple petabytes of data, something like 25 billion individual data points and they're just processing that data continuously through their analytics and machine learning applications to then again, give those insights back to their customers. Another good example is AstraZeneca. You know, they are processing petabytes and petabytes of genomic sequencing data. And they have a goal to analyze 2 million genomes over the next four years. And so they're just really scaling up on AWS, both from a pure storage point of view, but more importantly, from all of the compute and analytics capability on top that is really critical to achieving that goal. And then, you know, beyond the first party services we have as I mentioned, it's really our third party, right? The AWS partner network provides customers an incredible range of choice in off the shelf applications that they can quickly provision and make use of the data to drive those business insights. And I think today the APN has something like 100,000 partners over in 150 countries. And we specifically have a storage competency partner where customers can go to get those applications that directly work, you know, on top of their data. And really, like I said, drive some of that insight. So, you know, I think it's that overall benefit of being able to really do a lot more with their data than just have it sit idle. You know, that's where I think we see a lot of customers interested in driving additional value. >> I'm glad you mentioned the ecosystem, and I'm glad you mentioned the storage competency as well. So there are other storage partners that you have, even though you're a head of a big storage division. And then I think there's some other under the cover things too. I've recently wrote, actually have written about this a lot. Things like nitro and rethinking virtualization and how to do, you know offloads. The security that comes, you know fundamentally as part of the platform is, I think architecturally is something that leads the way in the industry for sure. So there's a lot we could unpack, but you've fundamentally changed the storage market over the last 16 years. And again, I've written about this extensively. We used to think about storage in blocks or you got, you know, somebody who's really good in files, there were companies that dominated each space with legacy on-prem storage. You know, when you think about object storage Kevin, it was a niche, right? It was something used for archival, it was known for its simple, get put syntax, great for cheap and deep storage, and S3 changed that. Why do you think that's happened and S3 has evolved, the object has evolved the way it has, and what's the future hold for S3? >> Yeah I mean, you know, Dave, I think that probably the biggest overall trend there is that customers are looking to build cloud native applications. Where as much of that application is managed as they can have. They don't want to have to spend time managing the underlying infrastructure, the compute and storage and everything that goes around it. And so a fully managed service like S3, where there's no provisioning storage capacity, there's, you know we provide the resiliency and the durability that just really resonates with customers. And I think that increasingly, customers are seeing that they want to innovate across the entire range of business. So it's not about a central IT team anymore, it's about engineers that are embedded within lines of business, innovating around what is critical to achieve their business results. So, you know, if they're in a manufacturing segment, how can we pull data from sensors and other instrumentation off of our equipment and then make better decisions about when we need to do predictive maintenance, how quickly we can run our manufacturing line, looking for inefficiencies. And so we've developed around our managed offerings like S3, we've just developed, you know, customers who are investing and executing on plans and you know transformations. That really give them, you know put digital technology directly into the line of business that they're looking for. And I think that trend is just going to continue. People sometimes ask me, well "I mean, 16 years, you know, isn't S3 done?" And I would say, "By no stretcher are we done." We have plenty of feedback from customers on ways that we can continue to simplify, reduce the kinds of things they need to do, when they're looking for example and rolling out new security policies and parameters across their entire organization. So raising the bar there, finding, you know, raising the bar on how they can efficiently manage their storage and reduce costs. So I think we have plenty of innovation ahead of us to continue to help customers provide that fully managed capability. >> Yeah I often say Kevin, the next 10 years ain't going to be like the last in cloud. So I really thank you for coming on theCube and sharing your insights, really appreciate it. >> Absolutely Dave, thanks for having me. >> You're welcome. Okay keep it right there for more coverage of AWS Storage Day 2022 in theCube. (calm bright music)

(upbeat music) >> Welcome back to theCUBE's continuous coverage of AWS re:Invent 2021 I'm Lisa Martin. This is our third day here on set We've got two live sets, two remote studios, over a hundred guests on the program and a lot going on with AWS and its ecosystem of partners am pleased to welcome back one of our Cube alumni, Buddy Brewer, the GVP & GM of product partnerships at New Relic. Welcome back, Buddy. Good to have you. >> Thanks it's great to be here >> Great to be in an in-person event isn't? >> No kidding it's really amazing to see everybody out here and after spending so much time on zoom calls, we had a lot of really great moments among the team and the booth playing the game of seeing if people's height matched up with >> (laughs) >> What your expectation was because so many of the people we work with >> Never mind. >> We've only known over zoom. >> Yes ,and zoom has been a savior for all of us we've been doing so much recording on zoom at the same time it's great to be here in person and seeing what a safe job AWS has done with getting I from hearing upwards of 30,000 people in here that are here in person. So talk to me about you lead the technology partnerships at New Relic. Talk to me about your role, and then we'll get into the partnership with AWS. >> Yeah, absolutely. Well, you know, the point about zoom, it's fascinating. Like you said, that just having the ability to communicate with people has been such a key enabler of being able to make progress and to continue to lead our personal and our professional lives despite the pandemic I mean, imagine what it would have been like if this had happened 10 years ago, even, but certainly 50 years ago >> Right. or something like that, right? Like everything would have ground to a halt and technology took on such an amazing, you know, critical role in allowing us to do all of these things and so at New Relic, we're all about helping people make sure that all of this software works correctly. And so observability helps people understand the detail level about everything from the front end, the end user experience to every single piece that happens along the path of delivering that experience all the way down to the infrastructure into the network. But my role at New Relic is also to help all of the other tools that software developers use every day to create those experiences that they connect into their observability platform so that they can understand all of those details and make sure that people are able to continue doing things that have become really so basic to life like ordering groceries or getting food, or, you know, communicating with a loved one over something like zoom. >> Yeah the things that to your point, if this had happened, you know, five, 10 years ago, it would have been a completely different story. We've been able to function really well and one of the things too, that, you know, I noticed yesterday and today, you probably did as well with the plethora, typical AWS the plethora of announcements, the amount of innovation that's going on, the customer flywheel that we've just seen this acceleration of technology and what it's enabling, but the observability portion is really key you talk about, you know, the developers need to the whole SDLC they need to be able to understand exactly what's going on because at the end of the day, whether it's a consumer or an enterprise of the other end of the spectrum, we need to know exactly what's going on because people's patience is far thinner these days the pandemic showed is that there is really no having access to real-time data. Isn't a luxury anymore it's really a necessity. >> Right, yeah, absolutely. >> Talk to me about some of these so a lot of announcements coming up from AWS, you guys talk to me about the partnership, what you guys are doing there. And some of the things that are exciting on that front. >> Yeah, AWS is a really key partner for us. We're big users of AWS ourselves for our observability platform and all of our infrastructure and, you know, we've had our own journey as a 13 year old business that started out pre cloud and moving our own infrastructure to the cloud. And then along that journey, we've worked closely with AWS and we've built a lot of joint solutions to help people who are moving to the cloud themselves or who are cloud native to understand all of the details about what's happening in that software so we have over 60 different integrations to all of the different tools with Amazon that you can use on the cloud from data storage, to EKS on Fargate and all of that stuff. And then we recently announced a five-year strategic agreement with Amazon to make it even easier for customers to adopt New Relic if they're building in Amazon AWS and so you know, we're in their marketplace, we have an offering for startups, for people who are just getting started that, you know, provides really simple and fast on-ramps with discounts and things like that. That's all designed to help people, software developers in particular, focus on what matters most to them, which is building great experiences for their customers. You know, you mentioned that the SDLC and this is one of the things that, you know, our mission at New Relic is to make observability a daily data-driven habit for developers across all phases of the software delivery life cycle. The problem with observability and how it's used today is that it's only used in the run phase by most people they use it when the software is on fire to put the fire out we believe that, that telemetry has tremendous strategic value in the plan, build and deploy phases of software development as well. And so partnerships like AWS allow us to unlock the accessibility of that data across all of those different phases for people who software developers are as a result in many ways that the things that we were talking about earlier with the expectations that the pandemic has placed on how software has to work, it's not an option they're busier, they're under more pressure than they've ever been before and so we want to help them relieve that pressure with tools that help them do their jobs better. >> Relieving that pressure is key there is so much pressure on developers I mean, these days from observability to security and that sort of thing, but it sounds like one of the things that you're also fundamentally doing is really shifting that observability left and helping them from a cultural perspective, it seems like almost a shift, but you're trying to make things easier for them giving them more tools and to unlock what they're not seeing right now. >> That's right and you know, the interesting thing about it is everyone realizes that observability is critical to, you know, successful software businesses so for example, we did a survey recently of 1300 software developers and IT decision makers and executives, and found that among the C-level executives that were surveyed 80% of them expected to increase their observability budget and 20% of those expected to increase it significantly. However, that same survey found that a very small percentage of those who we actually surveyed feel that they have a mature observability practice today. And when we unpack the reasons why in the survey, we found that most of them reduce down to basically this issue of they just don't have enough time to instrument all of the software, especially in a world where the shift to the cloud has driven a change in architecture where monoliths have been torn down and replaced by hundreds, or may be even thousands of microservices. >> Right. >> And we're in an era now where if observability isn't really, really easy and incredibly fast and simple to execute on then software developers can no longer instrument fast enough to keep up with the pace of the software that they're delivering and so what that leads to is visibility gaps, visibility gaps lead to poor customer experiences. And so what we're trying to do, and we've been on this massive simplification of our own platform to make it, you know, incredibly cost-effective at just 25 cents a gigabyte for ingestion and really simple licensing seat based licensing, where you get access to all of our tools to make it really simple and to take simply minutes to get observability on all those different pieces. >> If simplicity is a word that we throw around a lot, but it's really critical element and it's interesting to understand how do you actually facilitate that? You talked about, you know, kind of the 80 20 rule there. >> Yeah. >> A lot of the organization's not on that maturity curve with observability, how does New Relic and its ecosystem of partners like AWS how do you help have those conversations within organizations in any industry tell them, understand how you can actually simplify that and unlock that visibility, knowing that it's not only a matter of software development, but it's a competitive differentiator. It's also something that can damage a brand if they're not top of it. >> Yeah, we launched a re-imagined version of our partner ecosystem really our entire integration ecosystem about six weeks ago on October 13th called New Relic Instant Observability. And one of the central goals of New Relic IO, which we call it for short is to make it take just like five minutes for people to instrument something. So in the old way, what people had to do is if they wanted observability, they had to go learn about an observability vendor then they had to go install it, figure out how all that works and then they could get to solving their problem, which might've just been simply instrumenting a Kafka you know and so what we want to do is just keep people in that mode if all you wanted to do is instrument Kafka, then go find the Kafka instrumentation tile on New Relic and observability and then there's a guided install process that takes you through that and at the end you've instrumented Kafka and if you want to add something else like EKS Fargate from Amazon, or if you want to add something else like a Java service, you can simply click more of those guidance installs and add within minutes in an incremental way without having to stop and do a whole vendor evaluation to do so in fact, one of the other things that we launched recently is a free tier that's free forever. So there's no trial process or anything you don't have to put in a credit card if all you want to do is instrument this one thing right now, you can go through this process provision a free account you get access to all of our functionality for one user and ingest up to a hundred gigabytes of telemetry data for free within minutes. And so what we're trying to do is take all of that adoption friction out so that people aren't fighting with their instrumentation so much, and again, they can get back to doing what they really want to do in the first place, which has built great experiences for their end users. >> Great experiences for the end users but that translates to employee experience that translates to an end user customer experience, which translates back to brand reputation. I'm just wondering, you know, you're focused on the developers and we've been hearing a lot about the last two and a half days, a big focus on developers has observability kind of escalated up and its evolution up the stack within organizations is this a C-suite concern? Is this a board level concern? where does this fit now? and what's the vision of New Relic to deliver on that? >> With observability? >> Yes. >> Yeah, 90% of those in the survey that I was talking about felt that observability was not just a tool that they needed to use, but strategically critical to their business and, you know, this goes back to, as we know, and especially as a result of the intensity on the importance of software coming out of the pandemic, your digital business is your business these days. And so if you don't understand what's happening in that software and you can't move quickly, then you know you're really in trouble in terms of trying to succeed in a highly competitive environment and that goes back to again, one of our core beliefs is that all of this telemetry data that people have been collecting about how their software operates is so useful in contexts outside of just when there's a problem in production. Imagine if you could take that information and you could actually put it inside the IDE, which is something that we did with a recent acquisition of a company called CodeStream. We can take this telemetry data and put it inside the IDE so that as developers are writing the software, they know where those issues are. You can click straight from a stack frame, for example, inside of our, where we show all of our errors in a capability called Error's inbox and shoot right into your IDE and go see where the line of code is that caused that error, shortening that feedback loop and unlocking this really big investment that a lot of companies make in telemetry data earlier in the software life cycle, we believe is the future of observability and we want to help people get there. >> Well, the observability is really key for organizations these days because we've been hearing every company these days has to be a data company. >> Yeah. >> And it's one thing to say that it's a whole other thing to be able to implement it and observability is absolutely critical to that as being able to take that data and apply it in different contexts to really enable that business to be digital which is absolutely table-stakes these days to be successful and to deliver that customer experience ultimately. >> Yeah. >> That's what it all do. >> Yeah, absolutely. And you know, the other thing is really hard about this problem when I talk with our customers and we found this in the survey as well, is that, you know, software developers, don't just use one tool to create software they use a lot of tools in fact, 13% of those that we surveyed use 10 or more tools. >> Whoa. >> Just for the observability piece. And so, you know, obviously we're always trying to expand organically what we do inside of our platform to cover more and more use cases, but an equally important part of our strategy, if we really want to make observability a data-driven daily habit for people is to find all of those other, you know, really well-built amazing tools that those developers use and find valuable ways to integrate with them. And so that's the other part of our ecosystem that we've built out is this ability to take all of the other tools that you use and wire them into New Relic so that, for example, if you're using, let's say Lacework for security then you can, you know, if someone's installed a Bitcoin miner on your infrastructure somewhere, you can quickly navigate because of that integration from a poor customer experience through the infrastructure that's suffering may be with, you know, a lot of memory pressure, and a lot of CPU being used for this Bitcoin miner and then find out that, you know, through the integration where the miner was installed, how it got installed so that you can remediate those types of issues and connecting those pieces together, making software truly interoperable is another thing that's really critical to our mission at New Relic. >> It is critical to not only to the developers, but to the organizations and their success as businesses these days Buddy thank you for joining me, talking about what's going on at New Relic What's new, how you're really empowering those developers and all of the downstream positive effects that, that leads to we appreciate your time. >> Thank you ,thanks for having me. >> All right, you are Buddy Brewer I'm Lisa Martin you're watching theCUBE, the global leader in live tech coverage. (soft music)

>>Mhm >>Welcome to the cube where we're celebrating the EC 2/15 birthday anniversary. My name is Dave Volonte and we're joined right now by Sandy carter, Vice President of AWS. Welcome Sandy, it's great to see you again, >>David. So great to see you too. Thanks for having me on the show today. >>Very welcome. We were last physically together. I think it was reinvent 2019. Hopefully I'll see you before 2022. But first happy birthday to EC two. I mean, it's hard to imagine back in 2006, the degree to which EC two would impact our industry. Sandy, >>I totally agree. You know, I joined a W S about 4.5 years ago in EC two and it's, it's even amazing to see what's just happened in the last 4.5 years. So I'm with you. Nobody really expected the momentum, but EC two has really shone brightly in value to our customers. >>You know, we've done the public sector summit, you know, many times. It's a great event. Things are a little different in public sector as you well know. So talk about the public sector momentum with EC two and that journey. What have you seen? >>Yeah, so it's a great question day. So I had to go back in the time vault. You know, public sector was founded in 2010 and we were actually founded by the amazon process writing a paper setting up a two pizza team, which happened to be six people. And that journey really started with a lot of our public sector customers thinking that we don't know about the cloud. So we might want to do a pilot or just look at non mission critical workloads now public sector and I know you know this day but public sector is more than just government, it has education, not for profit healthcare and now space. But everybody at that time was very skeptical. So we had to really work hard to migrate some workloads over. And one of our very first non mission critical workloads was the U. S. Navy. Um and what they did was the Navy Media Services actually moved images over to EC two. Now today that seems like oh that's pretty easy. But back then that was a big monumental reference. Um and we had to spend a lot of time on training and education to win the hearts and souls of our customers. So back then we had half of the floor and Herndon Washington, we just had a few people and that room really became a training room. We trained our reps, we trained our customers um research drive. A lot of our early adopters accounts like Nasa and jpl. And um then when cloud first came out and governments that started with the U. S. A. And we announced Govcloud, you know, things really picked up, we had migration of significant workloads. So if you think back to that S. A. P. And just moving media over um with the Navy, the Navy and S. A. P. Migrated their largest S A P E R P solution to the cloud in that time as well. Um, then we started international. Our journey continued with the UK International was UK and us was us. Then we added a P. J. And latin America and Canada. And then of course the partner team which you know, is very close to my heart. Partners today are about 73% of our overall public sector business. And it started out with some interesting small pro program SVS being very crucial to that, accelerating adoption. And then of course now the journey has continued with Covid. That has really accelerated that movement to the cloud. And we're seeing, you know, use of ec two to really help us drive by the cute power needed for A I N. M. L. And taking all that data in from IOT and computing that data. And are they are. Um, and we're really seeing that journey just continue and we see no end in sight. >>So if we can stay in the infancy and sort of the adolescent years of public sector, I mean, remember, I mean as analysts, we were really excited about, you know, the the the introduction of of of of EC two. But but there was a lot of skepticism in whatever industry, financial services, healthcare concerns about security, I presume it was similar in public sector, but I'm interested in how you you dealt with those challenges, how you you listen to folks, you know, how did you drive that leadership to where it is today? >>Yeah, you're right. The the first questions were what is the cloud? Doesn't amazon sell books? What is this clown thing? Um, what is easy to, what is easy to stand for and then what the heck is an instance? You know, way back when there was one instance, it didn't even have a name. And today of course we have over 400 instant types with different names for each one. Um and the big challenges you asked about challenges, the big challenges that we had to face. Dave were first and foremost, how do we educate? Um we had to educate our employees and then we had to educate our customers. So we created these really innovative hands on training programmes, white boarding um, sessions that we needed. They were wildly popular. So we really have to do that and then also prove security as you know. So you asked how we listen to our customers and of course we followed the amazon way we work backwards from where we were. So at that time, customers needed education. And so we started there um, data was really important. We needed to make customer or data for government more available as well. So for instance, we first started hosting the Census Bureau for instance. Um and that was all on EC two. So we had lots of early adopters and I think the early adopters around EC two really helped us to remember. I said that the UK was our international office for a while. So we had NIH we had a genomes project and the UK Ministry of Justice as well. And we had to prove security out. We had to prove how this drove a structured GovCloud and then we had to also prove it out with our partners with things like helping them get fed ramped or other certifications. I'll for that sort of thing as well. And so we really lead in those early days through that education and training. Um we lead with pilots to show the potential of the possible and we lead with that security setting those security standards and those compliance certifications, always listening to the customer, always listening to the partner, knowing how important the partners we're going to be. So for example, recovery dot gov was the first government wide system that moved to the cloud. Um the recovery transparency board was first overseeing that Recovery act spending, which included stimulus tracking website. I don't know if you remember that, but they hosted the recovery dot gov On amazon.com using EC two. And that site quickly made information available to a million visitors per hour and at that time, that was amazing. And the cost savings were significant. We also launched Govcloud. You'd asked about GovCloud earlier and that federal cloud computing strategy when the U. S. Government came out with cloud first and they had to consider what is really going to compel these federal agencies to consider cloud. They had Public-sector customers had 70 requirements for security and safety of the data that we came out with Govcloud to open up all those great opportunities. And I think Dave we continue to leave because we are customer obsessed uh you know, still supporting more security standards and compliance sort than any other provider. Um You know, now we lead with data not just data for census or images for the US Navy, but we've got now data in space and ground station and data at scale with customers like Finra who's now doing 100 billion financial transactions. Not just that one million from the early days. So it has been a heck of a ride for public sector and I love the way that the public sector team really used and leveraged the leadership principles. Re invent and simplify dive deep. Be obsessed with the customers start where they are. Um and make sure that you're always always always listening to what they need. >>You know, it's interesting just observing public sector. It's not uncommon, especially because of the certifications that some of the services, you know come out after they come out for the commercial sector. And I remember years ago when I was at I. D. C. I was kind of the steward of the public sector business. And that was a time when everybody was trying to focus in public sector on commercial off the shelf software. That was the big thing. And they want to understand, they wanted to look at commercial use cases and how they could apply them to government. And when I dug in a little bit and met with generals and like eight different agencies, I was struck by how many really smart people and the things that they were doing. And I said at the time, you know, a lot of my commercial clients could learn a lot from you. And so the reason I bring that up is because I saw the same thing with Govcloud because there was a lot of skepticism in various industries, particularly regulated industries, financial services, healthcare. And then when Govcloud hit and the CIA deal hit, people said, whoa CIA, they're like the most security conscious industry or organization in the world. And so I feel as though in a way public sector led that that breakthrough. So I'm wondering when you think about EC two today and the momentum that it has in the government, Are there similar things that you see? Where's the momentum today in public sector? >>You are right on target day? I mean that CIA was a monumental moment and that momentum with ever increasing adoption to the cloud has continued in public sector. In fact today, public sector is one of our fastest growing areas. So we've got um, you know, thousands of startups or multiple countries that were helping out today to really ignite that innovation. We have over 4000 government agencies, 9000 education agencies. Um 2000 public sector partners from all over the globe. 24,000 not for profit organizations. And what I see is the way that they're using EC two um is is leading the pack now, especially after Covid, you know, many of these folks accelerated their journey because of Covid. They got to the cloud faster and now they are doing some really things that no one else is doing like sending an outpost postbox into space or leveraging, you know robots and health care for sure. So that momentum continues today and I love that you were the champion of that you know way back when even when you were with I. D. C. >>So I want to ask you, you sort of touched on some interesting use cases, what are some of the more unusual ones and maybe breakthrough use cases that you see? >>Oh so yeah we have a couple. So one is um I mentioned it earlier but there is a robot now that is powered by IOT and EC two and the robot helps to take temperature and and readings for folks that are entering the hospital in latin America really helped during Covid, one of my favorites. It actually blew the socks off of verne or two and you know that's hard to do is a space startup called lunar outpost and they are synthesizing oxygen on mars now that's, that's driven by Ec two. That's crazy. Right? Um, we see state governments like new york, they've got this vision zero traffic and they're leveraging that to prevent accidents all through new york city. I used to live in new york city. So this is really needed. Um, and it continues like with education, we see university of Illinois and Splunk one of our partners, they created a boarding pass for students to get back to school. So I have a daughter in college. Um, and you know, it's really hard for her to prove that she's had the vaccine or that she's tested negative on the covid test. They came out with a past of this little boarding pass, just like you used to get on an airplane to get into different classes and labs and then a couple of my favorites and you guys actually filmed the Cherokee nation. So the Cherokee nation, the chief of the Cherokee nation was on our silicon um show and silicon angles show and the cube featured them And as the chief talked about how he preserves the Cherokee language. And if you remember the Cherokee language has been used to help out the US in many different ways and Presidio. One of our partners helped to create a game, a super cool game that links in with unity To help teach that next generation the language while they're playing a game and then last but not least axle three d out of the UK. Um, they're using easy to, to save lives. They've created a three D imaging process for people getting ready to get kidney transplants and they have just enhanced that taken the time frame down for months. Now today's that they can actually articulate whether the kidney transplant will work. And when I talked to roger their Ceo, they're doing R. O. L return on life's not return on investment. So those are just some of the unusual and breakthrough use cases that we see powered by E. C. To >>Sandy. I'll give you the last word. Your final closing comments. >>Well, my final closing comments are happy birthday to ec two celebrating 15 years. What a game changer and value added. It has been the early days of Ec two. Of course we're about education like what is the cloud? Why is a bookseller doing it. But um, easy to really help to create a new hub of value Now. We've got customers moving so fast with modernization using a I. M and M. L. Containers survivalists. Um, and all of these things are really changing the game and leveling it up as we increased that business connection. So I think the future is really bright. We've only just begun. We've only just begun with EC two and we've only just begun with public sector. You know, our next great moments are still left to come. >>Well, Sandy, thanks so much. Always Great to see you. Really appreciate your time. >>Thank you so much. Dave. I really appreciate it. And happy birthday again to E. C. To keep >>It right there were celebrating Ec 2's 15th birthday right back. >>Mhm.

>>Mhm Hello, I'm jennifer with the cube. We're here at Rogers vice president of EC two Product Manager, NWS raj. Thanks for coming off its quick cube conversation. Um Congratulations on your 15th birthday of E C two. You get the keys to the kingdom of one of the hottest products. The most important product you look at. I look at our billets. Ec two is the highest, it's always the best everyone focuses on. It's the compute a lot of other goodness with amazon cloud. Thanks for coming on. >>Thank you. Thanks for having me. >>So, can you break down the graviton two processor overview? Why is custom Silicon important and why should architects and developers understand the opportunity with graviton to these are the other opportunities within 80 bucks. What's the, what's the magic do it we should that they think about as the architect their cloud. >>Yeah. So, I mean, I think why it's important is what you said like so much uh the workloads that they're running at the end of the day is running on EC two, whether it's running on Ec two directly or running on one of the other AWS services that's built on a C two and when you have, when you're able to, when we're able to innovate and deliver a very significant price performance advantage, not just lowers their costs. So like there, It's hardly a day of industry where you're able to go and do a pretty simple migration and get a 40% price performance improvement and that's huge and I think that's why this is, you know, raising a lot of interest. Is that um, customers, I found it relatively easy to go and do this migration and get that benefit. >>That's awesome mirage. I gotta ask you ec two offers more than 400 instant types with different combinations of compute memory, networking and storage, which is obviously the backbone of the cloud. A lot of people that are coming in learning about clouds, what does it mean that there's all these instances that because it's just more combinations, different workloads, why 400 instance types? What does that mean for someone learning about clouds? Does it mean anything to you actually? Would you explain the difference of instance types of 400 of them? >>Yeah. So, I mean when you think about an instance type, it's essentially configuration of a virtual machine, there's a certain amount of memory, there's a certain amount of processing power. Uh there could be a certain amount of disk and workloads, uh, the different ratios of these uh, dimensions, these characteristics. So by offering selection across a wide variety of instances were really able to optimize the compute that particular workload needs. The customers could essentially uh, increase their performance and have a more optimized price for what they want to get done. So ultimately, that's what that's what it's about having the right form factor for a given workload and the more configurations that we have, the more we're able to tune for those workloads. >>It's like having a driver riding a car you want the driver type to match the road, match the engine. So the instance has to match the profile of the app, the workload and kind of, and is that kind of where you're getting at getting met? You can do that. >>Yeah. And you know, and one of the things that we're also investing in at the same time as tools to enable customers to realize and learn what the right instance is. So, you know, we launched about a year ago uh capability called compute optimizer that lets customers look at their workloads, you know, in flight essentially and make recommendations saying, hey, instead of this instance, you know, you could Move to um this other instance type and save 50% or you know, as an example. So, um, you know, part of it, creating the selection and the other part of it is creating the tools. So customers, do you know what the right fit is for them so that they can really optimize their thin >>Well Roger, I really preach this is going to ask me anything guru question, but here's the simple one. What is gravitas to, at the end of the day when someone asks you what is graviton too? >>Yeah. So I mean grandma can do is a processor, it's a chip, it's a CPU um and so what that means essentially is and it's an arm. Basic. So um, you know, with, with are just like you have intel and AMG processors, these are the, the circuitry and the computer that does the work. Right. And um with, with Gravitas on we support arm which is a different architecture set but one that has been around long enough and it's pretty ubiquitous across mobile devices and servers now. So the operating systems that you know, you know all the Linux operating system, the tools that you know, they all work and are able to run on Graviton too. So this means that when you have applications, you can very easily take it from the same AMG or intel X 86 platform and move it over and just get the efficiencies that gravity to offers with lower power envelope and higher performance >>there it is many master class here at raj. Pie Vice President Ec two product management laying down the graviton to knowledge and for folks learning about cloud and architects really want to know the difference. It's a 40% performance improvement, lower power envelope, 20% less than cost. I believe something those range about right about in the same territory there. So basically high performance, lower costs, better power. So for workloads that demanded you got the option raj. Thank you for sharing. Thank you. All right. I'm john for, with the cube Thanks for watching. Mhm mm

(bright music) >> Announcer: From around the globe, it's theCUBE with digital coverage of Dell Technologies World Digital Experience. Brought to you by Dell Technologies. >> Hello, and welcome back to theCUBE's virtual coverage of Dell Technologies World Digital Experience. I'm John Furrier, your host of theCUBE here for this interview. We're not face to face this year, we're remote because of the pandemic. We've got a great guest, CUBE alumni, John Roese who's the Global Chief Technology Officer at Dell Technologies. John, great to see you. Thank you for remoting in from New Hampshire. Thanks for your time and thanks for coming on. >> Oh, glad to be here. Glad to be here from New Hampshire. The travel is a lot easier this way so-- >> It's been an interesting time. What a year it's been with the pandemic, the good, bad, and the ugly has been playing out. But if you look at the role of technology, the big theme this year at Dell Technologies World is the digital transformation acceleration. Everyone is kind of talking about that, but when you unpack the technology side of it, you're seeing a technology enablement theme that is just unprecedented from an acceleration standpoint. COVID has forced people to look at things that they never had to look at before. Disruption to business models and business systems like working at home. (Furrier laughs) Who would have forecasted that kind of disruption. Workloads changing, workforces working differently with in the mid of things. So an absolute exposure to the core issues and challenges that need to be worked on and double down on. And some cases, projects that might not have been as a priority. So you have all of this going on, customers really trying to double down on the things that are working, the things they need to fix, so they can come out of the pandemic with a growth strategy with modern apps, with cloud and hybrid and multicloud. This has been a huge forcing function. I'd love to get your first reaction to that big wave. >> Yeah, no, no, I think as a technologist, sometimes you can see the future maybe a little clearer than the business people can. Because there's one thing about technology, it either is, or it isn't. Either is code or hardware and real or it's marketing. And we knew the technology evolution was occurring, we knew the multicloud world was real, we knew that machine intelligence was real. And we've been working on this for maybe decades. But prior to COVID, many of these areas were still considered risky or speculative. And people couldn't quite grok exactly why they wanted a machine doing work on their behalf or why they might want an AI to be a participant in their collaboration sessions or why they might want an autonomous vehicle at all. And we were talking about how many people autonomous vehicles that were going to kill as opposed to how many that we're going to help. Then we had COVID. And suddenly we realized that the fragility of our physical world and the need for digital is much higher. And so it's actually opened up an enormous accelerant on people's willingness to embrace new technologies. And so whether it's a predictable acceleration of machine intelligence or autonomous systems, or this realization that the cloud world is actually more than one answer, there's multiple clouds working together. Because if you try to do a digital transformation acceleration, you realize that it's not one problem. It's many, many problems all working together, and then you discover that, hey, some of these can be solved with cloud one and some can be solving with cloud two, and some of them you want to do in your own infrastructure, in a private cloud, and some might belong at the edge. And then suddenly you come to this conclusion that, hey, having strategy has to deal with this system as a system. And so across the board, COVID has been an interesting catalyst to get people to really think practically about the technology available to them and how they might be able to take advantage of it quicker. And that's a mixed blessing for us technologists because they want things sooner, and that means we have to do more engineering. But at the same time, open-minded consumers of technology are very helpful in digital transformations. >> Well, I want to unpack that rethinking with COVID and post COVID. I mean, everything is going to come down to before COVID and after COVID world. I think it's going to be the demarcation that's going to be looked at historically. Before we get into that though, I want to get your thoughts on some of the key pillars of these transformational technologies in play today. Last year at Dell World, when we were physically face to face, we were laying out on theCUBE and in our analysis, the Dell Technologies has got an end to end view. You saw a little bit at VMworld this year, the Project Monterey, is looking much more systematically across the board. You mentioned systems as consequences. The reaction of changes. But lay out for us the key areas, the key pillars of the transformational technologies that customers need to look at now to drive the digital path. >> Yeah, we cast a very wide net. We look at literally thousands of technologies, we organize them and we try to understand and predict which ones are going to matter. And it turns out that over the last couple of years, we figured out there's really six, what I'll call expanding technology areas that are actually probably likely to be necessary for almost any digital transformation. And they aren't exactly what people have been doing historically. So in no particular order, and they may sound obvious, but when you think about your future, it's very likely all six of these are going to touch you. The first is, the obvious one of being able to develop and deliver a multicloud. The cloud journey is by no means done. We are at like the second inning of a nine inning game, maybe even earlier. We have barely created the multiple cloud world, much less the true multicloud world, and then really exploiting and automating has work to be done. But that's a strategic area for us and everybody to navigate forward. In parallel to that, what we realize is that multiple cloud is no longer just present in data centers and public clouds, it's actually existing in the real world. So this idea of edge, the reconstituting of IT out in the real world to deliver the real time behavior necessary to actually serve what we predict will be about 70% of the world's data that will happen outside of data centers. The third is 5G. And that's a very specific technology, and I have a long telco background. I was the CTO of one of the largest telecom companies in the world and I was involved in 2G, 3G and 4G. (Furrier chuckles) 5G is not another G. It is not just faster 4G. It does that, but with things like massive machine type communication with having a million sensorized devices in a kilometer or ultra reliable, low latency communication. The ability to get preferential services to critical streams of data across the infrastructure, mobile edge compute, putting the edge IT out into the cellular environment. And the fact that it's built in the cloud and IT era. So it's programmable, software defined. 5G is going to go from being an outside of the IT discussion to being the fabric inside the IT discussion. And so I will bet that anybody who has people in the real world and that they're trying to deliver a digital experience, will have to take advantage of the capabilities of 5G to do it right. But super strategic important area for Dell and for our industry. Continuing on, we have the data world, the data management world. It's funny, we've been doing data as an industry for a very long time, but the world we were in was the data at rest world, databases, data lakes, traditional applications. And that's great. It still matters, but this new world of data in motion is beginning. And what that means is the data is now moving into pipelines. We're not moving it somewhere and then figuring it out, we're figuring it out as the data flows across this multicloud environment. And that requires an entirely different tool, chain, architecture and infrastructure. But it's incredibly important because it's actually the thing that powers most digital transformation if they're real time. In parallel to that, number five on the list is AI and machine learning. And we have a controversial view on this. We don't view AI as purely a technology. It clearly is a technology, but what we really think customers should think about it as is as a new class of user. Because AIs are actually some of the most aggressive producers and consumers of data and consumers of IT infrastructure. We actually estimate that within the next four or five years, the majority of IT capacity in an enterprise environment will actually be consumed at the behest of the machine learning algorithm or an AI system than a traditional application or person. And all you have to do is do one AI project to understand that I'm correct, because they are just massive demand drivers for your infrastructure, but they have massive return on that demand. They give you things you can't do without them. And then last on the list is this area of security. And to be candid, we have really messed up this area as an industry. We have a security product for every problem, we have proliferation of security technologies. And to make matters worse, we now operate most enterprises on the assumption the bad guys are already inside and we're doing things to prevent them from causing harm. Now, if that's all it is, we really lost this one. So we have an obligation to reverse this trend, to start moving back to embedding the security and the infrastructure with intrinsic security, with zero trust models, with things like SASSY, which is basically creating new models of the edge security paradigm to be more agile and software defined. But most importantly, we have to pull it all together and say, "You know what we're really measuring is the trustworthiness "of the systems we work with, "not the individual components." So this elevation of security to trust is going to be a big journey for all of us. And every one of those six are individual areas, but when you combine them, they actually describe the foundation of a digital transformation. And so it's important for people to be aware of them, it's important for companies like Dell to be very active in all of them, because ultimately what you have today, plus those six properly executed, is the digital transformation outcome that most people are heading towards. >> You just packed it all six pillars into one soundbite. That was awesome. Great insight there. One of the things that's interesting, you mentioned AI. I love that piece around AI being a consumer. They are a consumer of data, they're also a consumer of what used to be handled by either systems or humans. That's interesting. 5G is another one. Pat Gelsinger has said at VMworld that 5G, and when I interviewed him he said 5G is a business app, not a consumer app. Yet, if you look at the recent iPhone announcement by Apple, iPhone 12, and iPhone 12 Pro, 5G is at the center of that announcement. But they're taking it from a different perspective. That's a real world application. They've got the watch, they have new chips in their devices, huge advantage. It's not just bandwidth. And remember the original iPhone launch with 3G if you remember. That made the iPhone. Some are saying if it didn't have the 3G or 2G and 3G, I think it was 3G in the first iPhone. 3G, it would have not been as successful. So again, Apple is endorsing 5G. Gelsinger talks about it as a business app. Double down on that, because I think 5G will highlight some of the COVID issues because people are working at home. They're on the go. They want to do video conferencing. Maybe they want to do this programmable. Unpack the importance of 5G as an enabler and as an IT component. >> Yeah. As I mentioned, 5G isn't just about enhanced mobile broadband which is faster YouTube. It's about much more than that. And because of that combination of technologies, it becomes the connective tissue for almost every digital transformation. So our view by the way, just to give you the Dell official position, we actually view that the 5G or the telecom industry is going through three phases around 5G. The first phase has already happened. It was an early deployment of 5G using traditional technology. It was just 5G as an extension of the 4G environment. That's great, it's out there. There's a phase that we're in right now, which I call the geopolitical phase, where all of a sudden, everybody from companies to countries to industries have realized this is really important. And we have to figure out how to make sure we have a secure source of supply that is based on the best technology. And that has created an interest by people like Dell and VMware and Microsoft, and many other companies to say, "Wait a minute. "This isn't just a telecom thing. "This is, as Pat said a business system. "This is part of the core of all digital." And so that's pulled people like Dell and others more aggressively into the telecom world in this middle phase. But what really is happening is the third phase. And the third phase is a recasting of the architecture of telecom to make it much more like the cloud and IT world. To separate hardware from software, to implemented software defined principles, to putting machine interfaces, to treat it like a cloud and IT system architecturally. And that's where things like OpenRAN, integrated open networks, and these new initiatives are coming into play. All of that from Dell perspective is fantastic because what it says is the telecom world is heading towards companies like us. And so, as you may know, we set up a brand new telecom business at scale up here to our other businesses this year. We already are doing billions of dollars in telecom, but now we believe we should be playing a meaningful tier-one role in this modern telecom ecosystem. It will be a team sport. There's lots of other players we have to work with. But because of the breadth of applications of 5G. And whether it's again, an iPhone with 5G is great to do YouTube, but it's incredibly powerful if you run your business applications on there, and what you want to actually deliver is an immersive augmented experience. So without 5G, it will be very hard to do that. So it becomes a new and improved client. We announced a Latitude 9,000 Series, and we're one of the first to put out a 5G enabled laptop. In certain parts of the world, we're now starting to ship these. Well again, when you have access to millimeter wave and gigabit speed capacity, you can do some really interesting things on that device, more oriented towards what we call collaborative computing which the client device and the adjacent infrastructure have so much bandwidth between them, that they look like one system. And they can share the burden of augmented reality, of data processing, of AI processing all in the real time domain. Carry that a little further, and when we get into the areas like healthcare transformation or educational transformation. What we realize immediately is reach is everything. You want to have a premium broadband experience, and you need a better system to do that. But really the thing that has to happen is not just a Zoom call, but an immersive experience in which a combination of low bandwidth, always on sensors are able to send their data streams back. But also, if you want to have a more immersive experience to really exploit your health situation, being able to do it with holography and other tools, which require a lot more bandwidth is critical. So no matter where you go in a digital transformation in the real world that has real people and things out in the real world involved in it, the digital fabric for connectivity is critical. And you suddenly realize the current architecture's pre-5G aren't sufficient. And so 5G becomes this linchpin to basically make sure that the client and the cloud and the data center all have a framework that they can actually work together without, let's call it a buffering resistance between them called the network. Imagine if the network was an enabler, not an impediment. >> Yeah, I think you're on point here. I think this is really teases out to me the next-gen business transformation, digital transformation because if you think about what you just talked about, connective tissue, linchpin with 5G, data as a driver, multicloud, the six pillars you laid out, and you mentioned systems, connective tissue systems. I mean, you're basically talking tech under the hood like operating system mindset. These systems design are interesting. If you put the pieces together, you can create business value. Not so much speeds and feeds, business value. You mentioned telco cloud. I find that fascinating. I've been saying on theCUBE for years, and I think it's finally playing out. I want to get your reactions of this is, this rise of the specialty cloud. I called it tier-one on the power law kind of the second wave of cloud. Look at Snowflake. They went public. Biggest IPO in the history of the New York Stock Exchange of Wall Street, second to VMware. They built on Amazon. (Furrier laughs) Okay. You have the telco cloud, we have theCUBE cloud, we have the media cloud. So you're seeing businesses looking at the cloud as a business model opportunity, not just buying gear to run something faster, right? So you're getting at something here where it's real benefits are now materializing and are now visible. First of all, do you agree with that? I'm sure you do. I'd love to get your thoughts on that. And if you do, how do companies put this together? Because you need software, you got to have the power source with cloud. What's your reaction to that? >> Absolutely. I think, now obviously there are many clouds. We have some mega clouds out there and then we have lots of other specialty clouds. And by the way, sometimes you remember we view cloud as an operating model, an experience, a way to present an IT service. How it's implemented is less important than what it looks like to the user. Your example of Snowflake. I don't view Snowflake as AWS. I view Snowflake as a storage business. (Furrier chuckles) >> It's a business. >> It's a business cloud. I mean, they could lift it up and move it onto another cloud infrastructure and still be Snowflake. So, as we look forward, we do see more of the consumables that we're going to use and digital transformation appearing as these cloud services. Sometimes they're SaaS cloud, sometimes they're an infrastructure cloud, sometimes they're a private cloud. One of the most interesting ones though that we see that hasn't happened yet is the edge clouds that are going to form. Edge is different. It's in the real time domain, it's distributed. If you do it at scale, it might look like massive amounts of capacity, but it isn't infinite in one place. Public cloud is infinite capacity all in one place. An edge cloud is infinite capacity distributed across 50,000 points of presence at which each of them has a finite amount of capacity. And the other difference though, is that edge clouds tend to live in the real time domain. So 30 millisecond round trip latency. Well, the reason this one's exciting to me is that when you think about what happened at the software and business model innovation, when for instance public clouds and even co-location became more accessible, companies who had this idea that needed a very large capacity of infrastructure that could be consumed as a service suddenly came into existence. Salesforce.com go through the laundry list. But all of those examples were non-real time functions because the clouds they were built on were non-real time clouds if you take them in the end to end, in the system perspective. We know that there are going to be both from the telecom operators and from cloud providers and co-location providers, and even enterprises, a proliferation of infrastructure out in the real time domain called edges. And those are going to be organized and delivered as cloud services. They're going to be pools of flexible elastic capacity. What excites me is suddenly we're going to spawn a level of innovation, where people who had this great idea that they needed to access cloud light capacity, but they ran into the problem that the capacity was too far away from the time domain they needed to operate. And we've already seen some examples of this in AR and VR. Autonomous vehicles require a real time cloud near the car, which doesn't exist yet. When we think about things like smart cities and smart factories, they really need to have that cloud capacity in the time domain that matters if they want to be a real time control system. And so, I don't know exactly what the innovation is going to be, but when you see a new capability show up, in this case, it's inevitable that we're going to see pools of elastic, consumable capacity in the real time environment as edges start to form. It's going to spawn another innovation cycle that could be as big as what happened in the public cloud environment for non-real time. >> Well, I think that's a great point in time series. Databases for one would be one instant innovation. You mentioned data, data management, time is valuable to the latency and this maybe not viable after if you're a car, right? So you pass them. So again, all different concepts. And the one thing that, first of all, I agree with you on this whole cloud thing. A nice edge cloud is going to develop nicely. But the question there is it's going to be software defined, agreed. Security, data, you've got databases, you've got software operated. You mentioned security being broken, and security product for every problem. And you want to bake it in, intrinsic or whatever you call it these days. How do you get the security model? Because you've got access. Do you federate that? How do you build in security at that level? Whether it's a space satellite or a moving vehicle, the edge is the edge. So what's your thoughts on security as you're looking at this mobility, this agility is horizontally scalable distributed system. What's the security paradigm? >> Well the first thing, it has nothing to do with security, but impacts your security outcome in a meaningful way when you talk about the edge. And that is, we have got to stop getting confused that an edge is a single monolithic thing. And we have got to start understanding that an edge is actually a combination of two things. It is a platform that will provide the capacity and a workload that will do the job, the code. And today, what we find is many people are advocating for edges are actually delivering an end to end stack that includes bespoke hardware, its infrastructure, and the workloads and capabilities. If that happens, we end up with 1,000 black boxes that all do one thing, which doesn't make any sense out in the real world. So the minute you shift to what the edge is really going to be, which is a combination of edge platforms and edge workloads, you start your journey towards a better security model. First thing that happens is you can secure and make a high integrity the edge platform. You can make sure that that platform has a hardware to trust, that it operates potentially in a zero trust model, that it has survivability and resiliency, but it doesn't really care what's running on it as much as it has to be stable. Now if you get that one right, now at least you have a stable platform between your public and private environments and the edge. At the workload level though, now you have to think about, well, edge workloads actually should not be bloated. They should not be extremely large scale because there's not enough capacity at the edge. So concepts like SASSY is a good example, which is one of the analyst firms that coined that term. But I like the concept, which is, hey, what if at the edge you're delivering the workload, but the workload is protected by a bunch of cloud-oriented security services that effectively are presented as part of the service chain? So you don't have to have your own firewall built into every workload because you're in an edge architecture, you can use virtual firewalling that's coming to you as a software service, or you can use the SDN, the service chain it into the networking path, and then you can provide deep packet inspection and other services. It all goes back to this idea that, when you deal with the edge, first and foremost, you have to have a reliable stable platform to guarantee a robust foundation. And that is an infrastructure security problem. But then you have to basically deal with the security problems of the workload in a different way than you do it in a data center. In a data center, you have infinite computing. You can put all kinds of appendages on your code, and it's fine because there's just more compute next to you. In the edge, we have to keep the code pure. It has to be an analytics engine or an AI engine for systems control in a factory. And the security services actually have to be a function of the end to end path. More likely delivered as software services slightly upstream. That architectural shift is not something people have figured out yet. But if we get it right, now we actually have a modern, zero trust distributed, software defined, service changeable, dynamic security architecture, which is a much better approach to an intrinsic security than trying to just hard-code the security into the workload and tie it to the platform which never has worked. So we're going to have to have a pretty big rethink to get through this. But for me, it's pretty clear what we have to do. >> Now I'd say that's good observation. Great insight. I'll just double down and ask a followup on that. I get that. I see where you're going with that software defined, software operated service. I love the SASSY concept. We've covered it. But the edge is still purpose-built devices. I mean, we've talked about an iPhone, and you're talking about a watch, you're talking about a space module, whatever it is at the edge on a tower, it could be a radio. I mean, whatever it is, you seem to have purpose-built hardware. You mentioned this root of trust. That'll kind of never kind of go away. You're going to have that. What's your thoughts on that as someone who realizes I got to harden the edge, at least from a hardware standpoint, but I want to be enabled for self-defined. I don't want to have a product be purpose-built and then be obsolete in a year. Because that's again the challenge of supply chain management, building hardware. What's your thoughts on that? >> Yeah. Our edge strategy, we double click a little bit is different than the strategy to build for a data center. We want consistency between them, but there's actually five areas of edge that actually are specific to it. The first is the hardware platform itself. Edge hardware platforms are different than the platforms you put in data centers, whether it be a client or the infrastructure underneath it. And so we're already building hardened devices and devices that are optimized for power and cooling and space constraints in that environment. The second is the runtime on that system is likely to be different. Today we use the V Cloud Foundation where that works very well, but as you get smaller and smaller and further away, you have to miniaturize and reduce the footprint. The control plane, we would like to make that consistent. We are using Tanzu and Dell Technologies Cloud Platform to extend out to the edge. And we think that having a consistent control plan is important, but the way you adapt something like Tanzu from the edge is different because it's in a different place. The fourth is life cycle, which is really about how you secure, how you deploy, how you deal with day two operations. There's no IT person out at the edge, so you're not in a data center. So you have to automate those systems and deal with them in a different way. And then lastly, the way you package an edge solution and deliver it is much different than the way you build a data center. You actually don't want to deal with those four things I just described as individual snowflakes. You want them packaged and delivered as an outcome. And that's why more and more of the edge platform offerings are really cloudlets or they're a platform that you can use to extend your IT capacity without having to think about Kubernetes versus VMs versus other things. It's just part of the infrastructure. So all of that tells us that edge is different enough, that the way you designed for it, the way you implement it, and even the life cycle, it has to take into account that it's not in a data center. The trick is to then turn that into an extended multicloud where the control plane is consistent, or when you push code into production with Kubernetes, you can choose to land that container in a data center or push it out to the edge. So you have both a system consistency goal, but also the specialization of the edge environment. Everything from hardware, to control plane, to lifecycle, that's the reality of how these things have to be built. >> That's a great point. It's a systems architecture, whether you're looking at from the bottoms up component level to top down kind of policy and or software defined. So great insight. I wish we had more time. I'd love to get you back and talk about data. We were talking before you came on camera about data. But quickly before we go, your thoughts on AI and the consequences of AI. AI is a consumer. I love that insight. Totally agree. Certainly it's an application. Technology is kind of horizontal. It can be vertically specialized with data. What's your thoughts on how AI can be better for society and some of the unintended consequences that we manage that. >> Yeah, I'm an optimist. I actually, we've worked with enough AI systems for long enough to see the benefit. Every one of Dell's products today has machine intelligence inside of it. So we can exceed the potential of its hardware and software without it. It's a very powerful tool. And it does things that human beings just simply can't do. I truly believe that it's the catalyst for the next wave of business process functionality, of new innovation. So it's definitely not something to stay away from. That being said, we don't know exactly how it can go wrong. And we know that there are examples where corrupted or bad bias data could influence it and have a bad outcome. And there are an infinite set of problems to go solve with AI, but there are ones that are a little dangerous to go pursue if you're not sure. And so our advice to customers today is, look, you do not need to build The Terminator to get advantage from AI. You can do something much simpler. In fact, in most enterprise context, we believe that the best path is go look at your existing business processes, where there is a decision that's made by a human being, and it's an inefficient decision. And if you can locate those points where a supply chain decision or an engineering decision or a testing decision is done by human beings poorly, and you can use machine intelligence to improve it by five or 10%, you will get a significant material impact on your business if you go after the right processes. At Dell we're doing a ton of AI and machine learning in our supply chain. Why is that important? Well, we happen to have the largest tech supply chain in the world. If we improve it by 1%, it's a gigantic impact on the company. And so our advice to people is you don't have to build man autonomous car. You don't have to build The Terminator. You can apply it much more tactically in spaces that are much safer. Even in the HR examples, we tell our HR people, "Hey, use it for things like performance management "and simplifying the processing of data. "Don't use it to hire a bot." That's a little dangerous right now. Because you might inadvertently introduce racism or sexism into that, and we still have some work to do there. So it's a very large surface area. Go where the safe areas are. It'll keep you busy for the next several years, improving your business in dramatic ways. And as we improve the technology for bias correction and management of AI systems and fault tolerance and simplicity, then go after the hard one. So this is a great one. Go after the easy stuff. You'll get a big benefit and you won't take the risk. >> You get the low hanging fruit learn, iterate through it. I'm glad you guys are using machine learning and AI in the supply chain. Make sure it's secure, big issue. I know you guys were on top of it and have a great operation there. John, great to have you on. John Roese, the Global Chief Technology Officer at Dell Technologies. Great to have you on. Take a minute to close out the last minute here. What's the most important story from Dell Technologies World this year? I know it's virtual. It's not face to face. But beyond that, what's the big takeaway in your mind, if you could share one point, what would it be for the folks watching? >> Yeah, I think the biggest point is something we talked about, which is we are in a period of digital transformation acceleration. COVID is bad, but it woke us up to the possibilities and the need for digital transformation. And so if you were on the fence or if you're moving slowly and now you have an opportunity to move fast. However, moving fast is hard if you try to do it by yourself. And so we've structured Dell, we've the six big areas we're focused on. They only have one purpose, it's to build the modern infrastructure platforms to enable digital transformation to happen faster. And my advice to people is, great. You're moving faster. Pick your partners well. Choose the people that you want to go on the journey with. And we think we're well positioned for that. And you will have much better progress if you take a broad view of the technology ecosystem and you've lightened up the appropriate partnerships with the people that can help you get there. And the outcome is a successful digital leader just is going to handle things like COVID and ease disruption better than a digital laggard. And we now have the data to prove that. So it's all about digital acceleration is the punchline. >> Well great to have you on. Great segment, great insight. And thank you for sharing the six pillars and the conversation. Super relevant on what's going on to create new business value, new opportunities for businesses and society. I'm John Furrier with theCUBE. Thanks for watching. (bright music)

>> From theCUBE Studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a Cube Conversation. >> Hi, I'm Stu Miniman and welcome to this Cube Conversation. I'm coming to you from our Boston area studio, and we always love when we get to talk to practitioners, and not just any practitioner. CIOs, obviously under huge pressures in general, but in today's day and age, lots of pressures on the CIO. So, I'm happy to welcome to the program Rich Gagnon. He is the CIO from the city of Amarillo in Texas. Rich, thank you so much for joining us. >> Glad to be here. Thanks for inviting me. >> All right, so, you know, CIO in a city in Texas, why don't you give us a little bit of what your role entails, a little bit of your background, and looking forward to the conversation. >> So, my background is actually more from the private sector side of the house. Previous to coming to the city of Amarillo, I was the Vice President of Systems Engineering for Palo Alto Networks, for the Americas. Before that, the Global Vice President of Systems Engineering for F5 Networks, and before that, the Director of Global Infrastructure for GameStop. So I stepped into government with a very private-sector, profit-centered mindset, if you will, coming from very high-growth companies. My role with the city is really to be an enabler for local government, to drive not only IT direction, but as a smaller community, I also have to wear the CSO hat, and the Data Privacy Officer hat. Pretty much anything when it comes to leadership of IT and technology, as an enabler to the government, that role falls on me. >> Wow, so a pretty broad mandate that you have there. Rich, give us a little bit, how does that span? How many constituents do you have in your infrastructure, your IT? Maybe you can sketch that out a little bit for us, too. >> Sure, so, I've had peers from the private sector ask me, "What's it like to actually lead in local government?" And the best comparison I can come up with is someone like GE. I have 49 different subsidiaries, different departments that operate as individual business units, only I don't have GE's money or their staff. We have 200,000 people and the departments we support span everything, from the obvious, like public safety, police, fire. We have an airport, a public clinic, water treatment plants, public health. There are streets, all the infrastructure departments. It's very diverse. >> Wow. And with all of those constituents that you have, why don't you give us the pre-COVID-19 discussion first, which is, what are some of those pressures there, from a budgeting standpoint? Are there specific initiatives you've been driving? And how are you responding to all those variables? >> Sure. Well, coming in, it was a little jarring. City leadership was very transparent that the city had sort of stood still for about a decade. I come from a high-growth environment where money was not the precious resource, really. It was always time. It was about speed to market. How do we get competitive advantage and move fast enough to maintain it? That was not the case here. I stepped into an environment where the limitations were Cat 3 cable and switches that still ran CatOS. The year before I came in, the big IT accomplishment was finally completing the migration to Windows 7 and Office 2007. That's where we started. So, for the past three years, I guess I'm starting my fourth year, we have undergone massive transformation. I think my staff thinks I'm a bit of a maniac, because we've run like we were being chased by a rabid dog. We have updated, obviously, the Layer 1 infrastructure, replaced the entire network. We've rolled out a new data center that's all hyper-converged. That enabled us to move our security model from the traditional Layer 3 firewall at the edge to a contextually-based data center with regulation on east-west traffic and segregation. We have rolled out VDI and Office 2016 and Windows 10. It's been a lot. >> Yeah, it really sounds like you went through multiple generations of change there. It's almost like going a decade forward, not just one step forward. Bring us through a little bit, that transformation. Obviously, there should be some clear efficiencies you had, but give us kind of the before and after as you started to deploy some of these technologies. Was there some reskilling? Did you hire some new people? How did that all go? >> Very much so. And like everything, it starts with financials, right? All of the resources at the city within IT were focused on operations, so there was literally no capital budget. As where typically you would update as you go, and update infrastructure, what happened was, as the infrastructure aged, the approach was to hire more staff to try to keep aging infrastructure up and running. That's a failing strategy. So, by moving to HCI, we've actually recovered about 26% of our operating budget, which allowed us to move that money into innovation and infrastructure updating. It took a tremendous amount of reskilling. Fortunately, the one thing that's been, I think, most surprising to me coming to local government, is the creativity of the staff. They were hungry for change. They were excited by the opportunity to move things forward. So, we spent an entire year doing nothing but training. We had a massive amount of budget poured into, "Let's bring the staff up to speed. "Let's get as many vendors in front of them as possible. "Let's get them educated on where the trends are going. "What is hyper-converged architecture "and why does it matter? "What is DevOps and why is the industry heading that way?" So as I said, we started, really, Layer 2-3, established that, built out the new data center, and now our focus is now, we built that platform, and our focus is starting to shift onto business relationship management. We've met with all 49 departments. We do that every six months. We're building 49 different roadmaps for every department, on "What applications are you using? "How do we help you modernize? "How do we help you serve the citizens better?" Because that's how IT serves the community. We serve the community by serving the departments that serve them directly, and being an innovation engine, if you will, for local government, to drive through new applications and ways to serve. So the transition has really started to happen is we've gotten that base platform out of the way and the things that were blocking us from saying, "Yes, and we can do more." >> Wow, so Rich, it's been an interesting discussion as the global pandemic has hit, so many people have talked about, "Boy, when I think about working from home "or managing in this environment, if I was using "10- or 15-year-old technology, "I don't know how, "or if I'd be able to do any of what I had." So, I know Dell brought you over, you're talking HCIs, so I believe you're talking about VxRail as your HCI platform. Talk to us about what HCI enabled as you needed to shift to remote workforce and support, that overall urgent need. >> It's been massive. And it's been interesting to see the IT team absorb it. As we matured, I think they embraced the ability to be innovative and to work with our departments, but this instance really justified why I was driving progress so fervently, why it was so urgent to me. Three years ago, the answer would have been no. We wouldn't have been in a place where we could adapt. With VxRail in place, in a week, we spun up hundreds of instant clones. We spun up a 75-person call center in a day and a half for our public health. We rolled out multiple applications for public health so they could do remote clinics. It's given us the flexibility to be able to roll out new solutions very quickly and be very adaptive. And it's not only been apparent to my team, but it's really made an impact on the business, and now what I'm seeing is those of my customers that were a little lagging or a little conservative are understanding the impact of modernizing the way they do business because it makes them adaptable as well. >> All right, so, Rich, you talked a bunch about the efficiencies that HCI put in place. How about that overall management? You talked about how fast you spun up these new VDI instances. You need to be able to do things much simpler. How does the overall lifecycle management fit into this discussion? >> It makes it so much easier. In the old environment, one, it took a lot of man hours to make change. It was very disruptive when we did make change. It overburdened, I guess that's the word I'm looking for. It really overburdened our staff to cause disruption to business. It wasn't cost-efficient. And then, simple things, like, I've worked for multi-billion dollar companies where we had massive QA environments that replicated production. You simply can't afford that at local government. Having this sort of environment lets me do a scaled-down QA environment, and still get the benefit of rolling out non-disruptive change. As I said earlier, it's allowed us to take all of those cycles that we were spending on lifecycle management, because it's greatly simplified, and move those resources and reskill them in other areas where we can actually have more impact on the business. It's hard to be innovative when 100% of your cycles are just keeping the ship afloat. >> Well, it's definitely a great proof point. So often, you deploy a solution, and when push comes to shove, will it deliver on that value that we're hoping for? HCI has been around for quite a while, but a crisis like this, how can you move past, how can your team respond? Congratulations to your team on that. The Dell team has recently done a number of updates on the VxRail platform. I'm curious, as someone who's been using the platform, what particularly is interesting to you, and what pieces of that have the most relevance to your organization? >> There are a few. So we're starting to look at our SCADA environments, industrial controls. And we're looking at some processing at the edge in those environments. So the new organized D series are interesting. There's some plant environments where that might really make sense to us. We've also partnered with our local counties and we have a DR site where being able to extend the network out to that DR site is going to be very powerful for us. And then there's just some improvements in vSphere that will allow us to do a little QA-ing, if you will, on new code before we roll it out, that I think will have a pretty huge impact for us as well. >> Excellent. So, Rich, when you think about the services that you need to deliver to all of your constituencies, walk us through how the pandemic has affected the team, how you're making sure that your employees are taken care of, but that you can still deliver all of those services. >> So from an internal perspective, not running a legacy architecture has made that a whole lot easier. We've remoted most of the IT team. Our entire development team is at home. Most of our support team is at home. Most of the city is still at home. So being able to do that, one, just having the capability has been huge for us. But also, from a business perspective, it's allowed most of our city functions just to keep running. So, modified services, for sure, but we're still functioning, and I just don't think that would have been capable, we wouldn't have been capable of supporting that, even two and a half years ago. >> So, Rich, we've talked a bit about your infrastructure. I'm curious, is the city, are you leveraging any public cloud environments, or any specific SaaS solutions that are enabling some of what you're doing today also? >> Yes, and we could probably have a 30-minute discussion on what is hybrid cloud and what is multicloud. In our instance, we are leveraging quite a bit of SaaS. We've migrated a lot of our services to SaaS offerings. We have spun up several applications in the cloud. I wouldn't call them truly hybrid. In my mind, hybrid is, I am able to take the workload and very seamlessly move it between my private infrastructure and one or more clouds. This is more, workloads specifically assigned to a public cloud. But yes, we've leveraged that. Simple things like Office365 and Outlook, but just as powerful for us has been VDI and being able to offer Horizon to our employees at home. And, with my other hat on, still maintain the contextual-based security, right? So I didn't have to open up the kingdom. I can still maintain the control that I need to to be able to sleep at night. >> Yeah, it's interesting. One of the questions I love to ask someone in your position is the role of data, how you think of security, how you think of the technology and put those together. Does it help that you wear both the CSO hat and the CIO hat? How do you think about leveraging data? Is there anything that you're sharing with other municipalities, without giving up, of course, personal information? >> Sure. It causes a lot of internal arguments, right? Because there's the two halves of my brain: the CIO half that wants to roll out as much service as I can and be innovative, and the CSO half of my brain that thinks about the exposure of the service that I'm about to roll out. That's part of where we're migrating now as we start to look into our whole approach to data. We've got the platform in place. We're now really migrating our thinking into revamping the way we look at data. I have seven sources for the same data. How do I consolidate and have one source of truth, and where does that reside? My development team is really starting to migrate out of classic development and more into the automation side of the house. How are we interfacing with all of our vendors? That's in review now. And how are we tying to third-party apps? Yeah, that's really the point we're at in our maturity that, now that the infrastructure is in place, we're now migrating to, "what is our data plan?" >> Excellent. Final question I have for you, Rich. I'd love your thoughts on the changing role of CIO. I loved the discussion you had at the beginning going from, really, the private sector to the public sector. Obviously, unique pressures on all businesses right now dealing with the global pandemic, but how do you see the role of the CIO today and how has it been changing? >> I think there's an expectation that you bring value to the business, whether that's local government, or retail, or banking. I think the expectation is that you're not just managing an infrastructure or managing a team, and providing service, but how do you bring actual value to the organization that you serve? And that means that you have to understand the business and all aspects of the business. I think you have to, at least I do as a CIO, I have to spend a tremendous amount of time understanding my internal customer and what are they trying to accomplish, and often, to show them a new way that they just may not be aware of. So I think there's a little more expectation as a CIO that you're going to drive value to whatever business that you're serving. >> Well, Rich, thank you so much. Really enjoyed the conversation. Congratulations on being able to react fast. So glad that you were able to get the transformation project done ahead of this hitting, because otherwise, it would have been a very different conversation. Thanks so much for joining us. >> Thank you. >> All right, I'm Stu Miniman. Stay safe and thank you for watching theCUBE.

from the cube Studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cute conversation hi I'm Stu minimun and welcome to this special presentation we have a launch from Dell technologies updates to the BX rail family we're gonna do things a little bit different here we actually have a launch video from Janet champion of Dell technologies and the way we do things a lot of times is analysts get a little preview or when you're watching things you might have questions on it though rather than me just walking it are you watching herself I actually brought in a couple of Dell technologies expert two of our cube alumni happy to welcome back to the program Jonathan Segal he is the vice president of product marketing and Chad Dunn who's the vice president at price today of product management both of them with Dell technologies gentlemen thanks so much for joining us it was too great to be here all right and so what we're gonna do is we're gonna be rolling the video here I've got a button I'm gonna press Andrew will stop it here and then we'll kind of dig in a little bit go into some questions when we're all done we're actually holding a crowd chat where you will be able to ask your questions talk to the expert and everything and so a little bit different way to do a product announcement hope you enjoy it and with that it's VX rail taking API to the extremes is is the theme we'll see you know how what that means and everything but without any further ado it but let's look fanon take the video away hello and welcome my name is Shannon champion and I'm looking forward to taking you through what's new with the ex rail let's get started we have a lot to talk about our launch covers new announcements addressing use cases across the core edge and cloud and spans both new hardware platforms and options as well as the latest in software innovations so let's jump right in before we talk about our announcements let's talk about where customers are adopting the ex rail today first of all on behalf of the entire Dell technologies and BX Rail teams I want to thank each of our over 8,000 customers big and small in virtually every industry who have chosen the x rail to address a broad range of workloads deploying nearly a hundred thousand nodes to date thank you our promise to you is that we will add new functionality improve serviceability and support new use cases so that we deliver the most value to you whether in the core at the edge or for the cloud in the core the X rail from day one has been a catalyst to accelerate IT transformation many of our customers started here and many will continue to leverage VX rail to simply extend and enhance your VMware environment now we can support even more demanding applications such as in-memory databases like s AP HANA and more AI and ML applications with support for more and more powerful GPUs at the edge video surveillance which also uses GPUs by the way is an example of a popular use case leveraging the X rail alongside external storage and right now we all know the enhanced role that IT is playing and as it relates to VDI the X Rail has always been a great option for that in the cloud it's all about kubernetes and how dell technologies cloud platform which is VCF on the x rail can deliver consistent infrastructure for both traditional and cloud native applications and we're doing that together with VMware the X ray o is the only jointly engineered HCI system built with VMware for VMware environments designed to enhance the native VMware experience this joint engineering with VMware and investments in software innovation together deliver an optimized operational experience at reduced risk for our customers all right so Shannon talked a bit about you know the important role of IP of course right now with the global pandemic going on it's really you know calling in you know essential things you know putting you know platforms to the test so I'd really love to hear what both of you are hearing from customers also you know VDI of course you know in the early days it was HDI only does VDI now we know there are many solutions but remote work is you know putting that back front and center so John why don't we start with you is you know what you're absolutely so first of all us - thank you I want to do a shout out to our BX real customers around the world it's really been humbling inspiring and just amazing to see the impact of our bx real customers around the world and what they're having on on human progress here you know just for a few examples there are genomics companies that we have running the X rail that have a row about testing at scale we also have research universities out in the Netherlands on doing the antibody detection the US Navy has stood up a hosta floating Hospital >> of course care for those in need so look we are here to help that's been our message to our customers but it's amazing to see how much they're helping society during this so just just a pleasure there but as you mentioned just to hit on the the VDI comments so it's your points do you know HCI and vxr8 EDI that was initially use case years ago and it's been great to see how many of our existing VX real customers have been able to inhibit very quickly leveraging via trail to add and to help bring their remote workforce you know online and support them with your existing VX rail because V it really is flexible it is agile to be able to support those multiple workloads and in addition to that we've also rolled out some new VDI bundles to make it simpler for customers more cost-effective catered to everything from knowledge workers to multimedia workers you name it you know from 250 desktops up to a thousand but again back to your point BX rail ci is well beyond video it had crossed the chasm a couple years ago actually and you know where VDI now is less than a third of the typical workloads any of our customers out there it supports now a range of workloads as you heard from Shannon whether it's video surveillance whether it's general purpose only to mission-critical applications now with SAV ha so you know this is this has changed the game for sure but the range of workloads and the flexibility of yet rail is what's really helping our existing customers from this pandemic we've seen customers really embrace HCI for a number of workloads in their environments from the ones that we serve all knew and loved back in the the initial days of of HCI now the mission-critical things now to cloud native workloads as well and you know sort of the efficiencies that customers are able to get from HCI and specifically VX rail gives them that ability to pivot when these you know shall we say unexpected circumstances arise and I think if that's informing their their decisions and their opinions on what their IT strategies look like as they move forward they want that same level of agility and the ability to react quickly with our overall infrastructure excellent want to get into the announcements what I want my team actually your team gave me access to the CIO from the city of Amarillo so maybe they can dig up that footage talk about how fast they pivoted you know using VX rail to really spin up things fast so let's hear from the announcements first and then definitely want to share that that customer story a little bit later so let's get to the actual news that and it's gonna share okay now what's new I am pleased to announce a number of exciting updates and new platforms to further enable IT modernization across core edge and cloud I will cover each of these announcements in more detail demonstrating how only the X rail can offer the breadth of platform configurations automation orchestration and lifecycle management across a fully integrated hardware and software full stack with consistent simple side operations to address the broadest range of traditional and modern applications I'll start with hybrid cloud and recap what you may have seen in the Dell technologies cloud announcements just a few weeks ago related to VMware cloud foundation on the X rail then I'll cover two brand new VX rail hardware platforms and additional options and finally circle back to talk about the latest enhancements to our VX rail HCI system software capabilities for lifecycle management let's get started with our new cloud offerings based on the ex rail you xrail is the HCI foundation for dell technologies cloud platform bringing automation and financial models similar to public cloud to on-premises environments VMware recently introduced cloud foundation for dotto which is based on vSphere 7 as you likely know by now vSphere 7 was definitely an exciting and highly anticipated release in keeping with our synchronous release commitment we introduced the XR l 7 based on vSphere 7 in late April which was within 30 days of VMware's release two key areas that VMware focused on were embedding containers and kubernetes into vSphere unifying them with virtual machines and the second is improving the work experience for vSphere administrators with vSphere lifecycle manager or VL CM I'll address the second point a bit in terms of how the X rail fits in in a moment for V cf4 with tansu based on vSphere 7 customers now have access to a hybrid cloud platform that supports native kubernetes workloads and management as well as your traditional vm based workloads and this is now available with VCF 4 on the ex rel 7 the X rails tight integration with VMware cloud foundation delivers a simple and direct path not only to the hybrid cloud but also to deliver kubernetes a cloud scale with one complete automated platform the second cloud announcement is also exciting recent VCF for networking advancements have made it easier than ever to get started with hybrid cloud because we're now able to offer a more accessible consolidated architecture and with that Dell technologies cloud platform can now be deployed with a four node configuration lowering the cost of an entry-level hybrid cloud this enables customers to start smaller and grow their cloud deployment over time VCF on the x rail can now be deployed in two different ways for small environments customers can utilize a consolidated architecture which starts with just four nodes since the management and workload domains share resources in this architecture it's ideal for getting started with an entry-level cloud to run general-purpose virtualized workloads with a smaller entry point both in terms of required infrastructure footprint as well as cost but still with a consistent cloud operating model for larger environments we're dedicated resources and role based access control to separate different sets of workloads is usually preferred you can choose to deploy a standard architecture which starts at 8 nodes for independent management and workload domains a standard implementation is ideal for customers running applications that require dedicated workload domains that includes horizon VDI and vSphere with kubernetes all right John there's definitely been a lot of interest in our community around everything that VMware's doing with vSphere 7 understand if you wanted to use the kubernetes piece you know it's it's VCF as that so we you know we've seen the announcements delt partnering there helped us connect that story between you know really the the VMware strategy and how they've talked about cloud and how you know where does the X rail fit in that overall Delta cloud story absolutely so so first of all is through the x-ray of course is integral to the Delta cloud strategy you know it's been VCF on bx r l equals the delta cloud platform and this is our flagship on-prem cloud offering that we've been able to enable operational consistency across any cloud right whether it's on prem in the edge or in a public cloud and we've seen the delta cloud platform embraced by customers for a couple key reasons one is it offers the fastest hybrid cloud deployment in the market and this is really you know thanks to a new subscription on offer that we're now offering out there we're at less than 14 days it can be set up and running and really the deltek cloud does bring a lot of flexibility in terms of consumption models overall comes to the extra secondly I would say is fast and easy upgrades I mean this is this is really this is what VX real brings to the table for all our clothes if you will and it's especially critical in the cloud so the full automation of lifecycle management across the hardware and software stack boss the VMware software stack and in the Dell software however we're supporting that together this enables essentially the third thing which is customers can just relax right they can be rest assured that their infrastructure will be continuously validated and always be in a continuously validated state and this this is the kind of thing that you know those three value propositions together really fit well with with any on print cloud now you take what Shannon just mentioned and the fact that now you can build and run modern applications on the same the x-ray link structure alongside traditional applications this is a game changer yeah it I love you know I remember in the early days that about CI how does that fit in with cloud discussion and align I've used the last couple years this you know modernize the platform then you can modernize the application though as companies are doing their full modernization this plays into what you're talking about all right let's get you know can't let ran and continue get some more before we dig into some more analysis that's good let's talk about new hardware platforms and updates that result in literally thousands of potential new configuration options covering a wide breadth of modern and traditional application needs across a range of the actual use cases first up I am incredibly excited to announce a brand new delhi MCB x rail series the DS series this is a ruggedized durable platform that delivers the full power of the x rail for workloads at the edge in challenging environments or for space constrained areas the X ray LD series offers the same compelling benefits as the rest of the BX rail portfolio with simplicity agility and lifecycle management but in a lightweight short depth at only 20 inches it's a durable form factor that's extremely temperature resilient shock resistant and easily portable it even meets mil spec standards that means you have the full power of lifecycle automation with VX rail HCI system software and 24 by 7 single point of support enabling you to rapidly react to business needs no matter the location or how harsh the conditions so whether you're deploying a data center at a mobile command base running real-time GPS mapping on-the-go or implementing video surveillance in remote areas you can ensure availability integrity and confidence for every workload with the new VX Rail ruggedized D series had would love for you to bring us in a little bit you know that what customer requirement bringing bringing this to market I I remember seeing you know Dell servers ruggedized of course edge you know really important growth to build on what John was talking about clouds so yeah Chad bring us inside what was driving this piece of the offering sure Stu yeah you know having the the hardware platforms that can go out into some of these remote locations is really important and that's being driven by the fact that customers are looking for compute performance and storage out at some of these edges or some of the more exotic locations you know whether that's manufacturing plants oil rigs submarine ships military applications in places that we've never heard of but it's also been extending that operational simplicity of the the sort of way that you're managing your data center that has VX rails you're managing your edges the same way using the same set of tools so you don't need to learn anything else so operational simplicity is is absolutely key here but in those locations you can take a product that's designed for a data center where you're definitely controlling power cooling space and take it to some of these places where you get sand blowing or sub-zero temperatures so we built this D series that was able to go to those extreme locations with extreme heat extreme cold extreme altitude but still offer that operational simplicity if you look at the the resistance that it has to heat it can go from around operates at a 45 degrees Celsius or 113 degrees Fahrenheit range but it can do an excursion up to 55 °c or 131 degrees Fahrenheit for up to eight hours it's also resisted the heats and dust vibration it's very lightweight short depth in fact it's only 20 inches deep this is a smallest form factor obviously that we have in the BX rail family and it's also built to to be able to withstand sudden shocks it's certified it was stand 40 G's of shock and operation of the 15,000 feet of elevation it's pretty high and you know this is this is sort of like where were skydivers go to when they weren't the real real thrill of skydiving where you actually the oxygen to to be a put that out to their milspec certified so mil-std 810g which i keep right beside my bed and read every night and it comes with a VX rail stick hardening package is packaging scripts so that you can auto lock down the rail environment and we've got a few other certifications that are on the roadmap now for for naval chakra quirements EMI and radiation immunity of all that yeah you know it's funny I remember when weights the I first launched it was like oh well everything's going to white boxes and it's going to be you know massive you know no differentiation between everything out there if you look at what you're offering if you look at how public clouds build their things what I call it a few years poor is there's a pure optimization so you need scale you need similarities but you know you need to fit some you know very specific requirements lots of places so interesting stuff yeah certifications you know always keep your teams busy alright let's get back to Shannon we are also introducing three other hardware based editions first a new VX rail eseries model based on were the first time AMD epic processors these single socket 1u nodes offered dual socket performance with CPU options that scale from 8 to 64 cores up to a terabyte of memory and multiple storage options making it an ideal platform for desktop VDI analytics and computer-aided design next the addition of the latest NVIDIA Quadro RT X GPUs brings the most significant advancement in computer graphics in over a decade to professional workflows designers and artists across industries can now expand the boundary of what's possible working with the largest and most complex graphics rendering deep learning and visual computing workloads and Intel obtain DC persistent memory is here and it offers high performance and significantly increase memory capacity with data persistence at an affordable price persistence is a critical feature that maintains data integrity even when power is lost enabling quicker recovery and less downtime with support for Intel obtain DC persistent memory customers can expand in memory intensive workloads and use cases like sa P Hana alright let's finally dig into our HCI system software which is the core differentiation for the xrail regardless of your workload or platform choice our joint engineering with VMware and investments in the x-ray HCI system software innovation together deliver an optimized operational experience at reduced risk for our customers under the covers the xrail offers best-in-class Hardware married with VMware HCI software either vcn or VCF but what makes us different stems from our investments to integrate the two Dell technologies has a dedicated VX rail team of about 400 people to build market sell and support a fully integrated hyper-converged system that team has also developed our unique the X rail HDI system software which is a suite of integrated software elements that extend VMware native capabilities to deliver a seamless automated operational experience that customers cannot find elsewhere the key components of the x rail HDI system software are shown around the arc here that include the X rail manager full stack lifecycle management ecosystem connectors and support I don't have time to get into all the details of these elements today but if you're interested in learning more I encourage you to meet our experts and I will tell you how to do that in a moment I touched on VLC M being a key feature to vSphere seven earlier and I'd like to take the opportunity to expand on that a bit in the context of the xrail lifecycle management the LCM adds valuable automation to the execution of updates for customers but it doesn't eliminate the manual work still needed to define and package the updates and validate all of the components prior to applying them with the X ray all customers have all of these areas addressed automatically on their behalf freeing them to put their time into other important functions for their business customers tell us that lifecycle management continues to be a major source of the maintenance effort they put into their infrastructure and then it tends to lead to overburden IT staff that it can cause disruptions to the business if not managed effectively and that it isn't the most efficient economically Automation of lifecycle management in VX Rail results in the utmost simplicity from a customer experience perspective and offers operational freedom from maintaining infrastructure but as shown here our customers not only realize greater IT team efficiencies they have also reduced downtime with fewer unplanned outages and reduced overall cost of operations with the xrail HCI system software intelligent lifecycle management upgrades of the fully integrated hardware and software stack are automated keeping clusters in continuously validated States while minimizing risks and operational costs how do we ensure continuously validated States Furby xrail the x-ray labs execute an extensive automated repeatable process on every firmware and software upgrade and patch to ensure clusters are in continuously validated states of the customer's choosing across their VX rail environment the VX rail labs are constantly testing analyzing optimising and sequencing all of the components in the upgrade to execute in a single package for the full stack all the while the x rail is backed by Delhi MCS world-class services and support with a single point of contact for both hardware and software IT productivity skyrockets with single-click non-disruptive upgrades of the fully integrated hardware and software stack without the need to do extensive research and testing taking you to the next VX rail version of your choice while always in a continuously validated state you can also confidently execute automated VX rail upgrades no matter what hardware generation or node types are in the cluster they don't have to all be the same and upgrades with VX rail are faster and more efficient with leap frogging simply choose any VX rail version you desire and be assured you will get there in a validated state while seamlessly bypassing any other release in between only the ex rail can do that all right so Chad you know the the lifecycle management piece that Jana was just talking about is you know not the sexiest it's often underappreciated you know there's not only the years of experience but the continuous work you're doing you know reminds me back you know the early V sand deployments versus VX rail jointly develop you know jointly tested between Dell and VMware so you know bring us inside why you know 2020 lifecycle management still you know a very important piece especially in the VL family yeah let's do I think it's sexy but I'm pretty big nerd yes even more the larger the deployments come when you start to look at data centers full of VX rails and all the different hardware software firmware combinations that could exist out there it's really the value that you get out of that VX r l HTI system software that Shannon was talking about and how its optimized around the VMware use case very tightly integrated with each VMware component of course and the intelligence of being able to do all the firmware all of the drivers all of the software altogether tremendous value to our customers but to deliver that we really need to make a fairly large investment so she Anna mentioned we've run about twenty five thousand hours of testing across each major release four patches Express patches that's about seven thousand hours for each of those so obviously there's a lot of parallelism and and we're always developing new test scenarios for each release that we need to build in as we as we introduce new functionality one of the key things that were able to do as Shannon mentioned is to be able to leapfrog releases and get you to that next validated state we've got about 100 engineers just working on creating and executing those test cases on a continuous basis and obviously a huge amount of automation and then when we talk about that investment to execute those tests that's well north of sixty million dollars of investment in our lab in fact we've got just over two thousand VH rail units in our testbed across the u.s. Shanghai China and corn island so a massive amount of testing of each of those those components to make sure that they operate together in a validated state yeah well you know absolutely it's super important not only for the day one but the day two deployments but I think this actually be a great place for us to bring in that customer that Dell gave me access to so we've got the CIO of Amarillo Texas he was an existing VX rail customer and he's going to explain what happened as to how he needed to react really fast to support the work from home initiative as well as you know we get to hear in his words the value of what lifecycle management means though Andrew if we could queue up that that customer segment please it was it's been massive and it's been interesting to see the IT team absorb it you know as we mature and they I think they embrace the ability to be innovative and to work with our departments but this instance really justified why I was driving progress so so fervently why it was so urgent today three years ago we the answer would have been no there would have been we wouldn't have been in a place where we could adapt with it with the x-ray all in place you know in a week we spun up hundreds of instant phones we spawned us a seventy five person call center in a day and a half for our public health we will allow multiple applications for Public Health so they could do remote clinics it's given us the flexibility to be able to to roll out new solutions very quickly and be very adaptive and it's not only been apparent to my team but it's really made an impact on the business and now what I'm seeing is those those are my customers that were a little lagging or a little conservative or understanding the impact of modernizing the way they do business because it makes them adaptable as well all right so rich you talked to a bunch about the the efficiencies that they tie put place how about that that overall just managed you know you talked about how fast you spun up these new VDI instances you need to be able to do things much simpler so you know how does the overall lifecycle management fit into this discussion it makes it so much easier and you know in the in the old environment one it took a lot of man-hours to make change it was it was very disruptive when we did make change this it overburdened I guess that's the word I'm looking for it really over overburdened our staff it cost disruption to business it was it cost-efficient and then you simple things like you know I've worked for multi billion-dollar companies where we had massive QA environments that replicated production simply can't afford that at local government you know having the sort of environment lets me do a scaled-down QA environment and still get the benefit of rolling out non disruptive change as I said earlier it's allow us to take all of those cycles that we were spending on lifecycle management because it's greatly simplified and move those resources and rescale them in in other areas where we can actually have more impact on the business it's hard to be innovated when a hundred percent of your cycles are just keeping the ship afloat all right well you know nothing better than hearing straight from the end-user you know public sector reacting very fast to the Cova 19 and you know you heard him he said if this had hit his before he had run this project he would not have been able to respond so I think everybody out there understands if I didn't actually have access to the latest technology you know it would be much harder all right I'm looking forward to doing the crowd chat and everybody else digging with questions and get follow-up but a little bit more I believe one more announcement he came and got for us though let's roll the final video clip in our latest software release the x-ray of 4.7 dot 510 we continue to add new automation and self-service features new functionality enables you to schedule and run upgrade health checks in advance of upgrades to ensure clusters are in a ready state for the next upgrade or patch this is extremely valuable for customers that have stringent upgrade windows as they can be assured the clusters will seamlessly upgrade within that window of course running health checks on a regular basis also helps ensure that your clusters are always ready for unscheduled patches and security updates we are also offering more flexibility and getting all nodes or clusters to a common release level with the ability to reimage nodes or clusters to a specific the xrail version or down Rev one or more more nodes that may be shipped at a higher Rev than the existing cluster this enables you to easily choose your validated state when adding new nodes or repurposing nodes in cluster to sum up all of our announcements whether you are accelerating data center modernization extending HCI to harsh edge environments deploying an on-premises Dell technologies cloud platform to create a developer ready kubernetes infrastructure BX Rail is there delivering a turnkey experience that enables you to continuously innovate realize operational freedom and predictably evolve the x rail provides an extensive breadth of platform configurations automation and lifecycle management across the integrated hardware and software full stack and consistent hybrid cloud operations to address the broadest range of traditional and modern applications across core edge and cloud I now invite you to engage with us first the virtual passport program is an opportunity to have some fun while learning about the ex rails new features and functionality and score some sweet digital swag while you're at it it delivered via an automated via an augmented reality app all you need is your device so go to the x-ray is slash passport to get started and secondly if you have any questions about anything I talked about or want a deeper conversation we encourage you to join one of our exclusive VX rail meet the experts sessions available for a limited time first-come first-served just go to the x-ray dot is slash expert session to learn more you all right well obviously with everyone being remote there's different ways we're looking to engage so we've got the crowd chat right after this but John gives a little bit more is that how Del's making sure to stay in close contact with customers and what you've got firfer options for them yeah absolutely so as Shannon said so in lieu of not having Dell tech world this year in person where we could have those great in-person interactions and answer questions whether it's in the booth or you know in in meeting rooms you know we are going to have these meet the experts sessions over the next couple of weeks and look we're gonna put our best and brightest from our technical community and make them accessible to to everyone out there so again definitely encourage you we're trying new things here in this virtual environment to ensure that we could still stay in touch answer questions be responsive and really looking forward to you know having these conversations over the next couple weeks all right well John and Chad thank you so much we definitely look forward to the conversation here in int in you'd if you're here live definitely go down below do it if you're watching this on demand you can see the full transcript of it at crowd chat /vx rocks sorry V xrail rocks for myself Shannon on the video John and Chad Andrew man in the booth there thank you so much for watching and go ahead and join the crowd chat

la from Las Vegas it's the cube covering AWS reinvent 2019 brought to you by Amazon Web Services and in care along with its ecosystem partners hey welcome back everyone cubes live coverage of eight of us reinvent 2019 this is the cube seventh year covering Amazon reinvent it's their eighth year of the conference and want to just shout out to Intel for their sponsorship for these two amazing sets without their support we would be able to bring our mission of great content to you I'm John Force to many men we're here with the chief of AWS the chief executive officer Andy chassis tech athlete and himself three our keynotes welcome to the cube again great to see you great to be here thanks for having me guys congratulations on a great show a lot of great buzz thank you a lot of good stuff your keynote was phenomenal you get right into you giddy up right into as you say three hours 30 announcements you guys do a lot but what I liked the new addition in the last year and this year is the band house man yeah they're pretty good they hit the Queen note so that keeps it balanced so we're going to work on getting a band for the cube awesome so if I have to ask you what's your walk-up song what would it be there's so many choices depends what kind of mood I'm in but maybe times like these by the Foo Fighters these are unusual times right now Foo Fighters playing at the Amazon intersect show they are Gandy well congratulations on the intersect you got a lot going on intersect is the music festival I'll get that in a second but I think the big news for me is two things obviously we had a one-on-one exclusive interview and you laid out essentially what looks like was gonna be your keynote it was transformation key for the practice I'm glad to practice use me anytime yeah and I like to appreciate the comments on Jedi on the record that was great but I think the transformation story is a very real one but the NFL news you guys just announced to me was so much fun and relevant you had the Commissioner of NFL on stage with you talking about a strategic partnership that is as top-down aggressive goals you could get yeah I have Roger Goodell fly to a tech conference to sit with you and then bring his team talk about the deal well you know we've been partners with the NFL for a while with the next-gen stats are they using all their telecasts and one of the things I really like about Roger is that he's very curious and very interested in technology in the first couple times I spoke with him he asked me so many questions about ways the NFL might be able to use the cloud and digital transformation to transform their various experiences and he's always said if you have a creative idea or something you think that could change the world for us just call me is it or text me or email me and I'll call you back within 24 hours and so we've spent the better part of the last year talking about a lot of really interesting strategic ways that they can evolve their experience both for fans as well as their players and the player health and safe safety initiative it's so important in sports and particularly important with the NFL given the nature of the sport and they've always had a focus on it but what you can do with computer vision and machine learning algorithms and then building a digital athlete which is really like a digital twin of each athlete so you understand what does it look like when they're healthy what and compare that when it looks like they may not be healthy and be able to simulate all kinds of different combinations of player hits and angles and different plays so that you can try to predict injuries and predict the right equipment you need before there's a problem can be really transformational so it was super excited about it did you guys come up with the idea it was the collaboration between there's really a collaboration I mean they look they are very focused on player's safety and health and it's it's a big deal for their you know they have two main constituents that the players and fans and they care deeply about the players and it's a it's a hard problem in a sport like football but you watch it yeah I gotta say it does point out the use cases of what you guys are promoting heavily at the show here of the stage maker studio which is a big part of your keynote where they have all this data right and they're dated hoarders they've the hoard data but they're the manual process of going through the data it was a killer problem this is consistent with a lot of the enterprises that are out there they have more data than they even know so this seems to be a big part of the strategy how do you get the customers to actually a wake up to the fact that they got data and how do you tie that together I think in almost every company they know they have a lot of data and there are always pockets of people who want to do something with it but when you're gonna make these really big leaps forward these transformations so things like Volkswagen is doing with they're reinventing their factories in their manufacturing process or the NFL where they're gonna radically transform how they do players health and safety it starts top-down and if they if the senior leader isn't convicted about wanting to take that leap forward and trying something different and organizing the data differently and organizing the team differently and using machine learning and getting help from us and building algorithms and building some muscle inside the company it just doesn't happen because it's not in the normal machinery of what most companies do and so it all wait almost always starts top-down sometimes it can be the commissioner or the CEO sometimes it can be the CIO but it has to be senior level conviction or it does get off the ground and the business model impact has to be real for NFL they know concussions hurting their youth pipelining this is a huge issue for them is their business model they they lose even more players to lower extremity injuries and so just the notion of trying to be able to predict injuries and you know the impact it can have on rules the impact it can have on the equipment they use it's a huge game changer when they look at the next 10 to 20 years all right love geeking out on the NFL but no more do you know off camera a 10 man is here defeated season so everybody's a Patriots fan now it's fascinating to watch you and your three-hour keynote Vernor in his you know architectural discussion really showed how AWS is really extending its reach you know it's not just a place for a few years people have been talking about you know cloud as an operation operational model it's not a destination or a location but I felt that really was laid out is you talked about breadth and depth and Verna really talked about you know architectural differentiation people talk about cloud but there are very there are a lot of differences between the vision for where things are going help us understand and why I mean Amazon's vision is still a bit different from what other people talk about where this whole cloud expansion journey but put over what tagger label you want on it but you know the control plane and the technology that you're building and where you see that going well I think that we've talked about this a couple times we we have two macro types of customers we have those that really want to get at the load level building blocks and stitch them together creatively and however they see fit to create whatever is in there in their heads and then we have this second segment of customers who say look I'm willing to give up some of that flexibility in exchange for getting 80% of the way they're much faster in an abstraction that's different from those low level building blocks in both segments of builders we want to serve and serve well and so we built very significant offerings in both areas I think when you look at micro services you know some of it has to do with the fact that we have this very strongly held belief born out of several years at Amazon where you know the first seven or eight years of Amazon's consumer business we basically jumbled together all of the parts of our technology and moving really quickly and when we wanted to move quickly where you had to impact multiple internal development teams it was so long because it was this big ball this big monolithic piece and we got religion about that and trying to move faster in the consumer business and having to tease those pieces apart and it really was a lot of the impetus behind conceiving AWS where it was these low-level very flexible building blocks that don't try and make all the decisions for customers they get to make them themselves and some of the micro services that you saw Verner talking about just you know for instance what we what we did with nitro or even what we do with firecracker those are very much about us relentlessly working to continue to to tease apart the different components and even things that look like low-level building blocks over time you build more and more features and all of a sudden you realize they have a lot of things that are they were combined together that you wished weren't that slowed you down and so nitro was a completely reimagining of our hypervisor and virtualization layer to allow us both to let customers have better performance but also to let us move faster and have a better security story for our customers I got to ask you the question around transformation because I think it all points to that all the data points you got all the references goldman-sachs on stage at the keynote Cerner and the healthcare just an amazing example because I mean this demonstrating real value there there's no excuse I talked to someone who wouldn't be named last night and then around the area said the CIA has a cost bar like this cost up on a budget like this but the demand for mission based apps is going up exponentially so there's need for the cloud and so seeing more and more of that what is your top-down aggressive goals to fill that solution base because you're also very transformational thinker what is your what is your aggressive top-down goals for your organization because you're serving a market with trillions of dollars of span that's shifting that's on the table a lot of competition now sees it too they're gonna go after it but at the end of the day you have customers that have that demand for things apps yeah and not a lot of budget increase at the same time this is a huge dynamic what's your goals you know I think that at a high level are top-down aggressive goals so that we want every single customer who uses our platform to have an outstanding customer experience and we want that outstanding customer experience in part is that their operational performance and their security are outstanding but also that it allows them to build and it build projects and initiatives that change their customer experience and allow them to be a sustainable successful business over a long period of time and then we also really want to be the technology infrastructure platform under all the applications that people build and they were realistic we know that that you know the market segments we address with infrastructure software hardware and data center services globally are trillions of dollars in the long term it won't only be us but we have that goal of wanting to serve every application and that requires not just the security operational performance but also a lot of functionality a lot of capability we have by far the most amount of capability out there and yet I would tell you we have three to five years of items on our roadmap that customers want us to add and that's just what we know today well and any underneath the covers you've been going through some transformation when we talked a couple years ago about how serverless is impacting things I've heard that that's actually in many ways glue behind the two pizza teams to work between organizations talk about how the internal transformations are happening how that impacts your discussions with customers that are going through that transformation well I mean there's a lot of a lot of the technology we build comes from things that we're doing ourselves you know and that we're learning ourselves it's kind of how we started thinking about microservices serverless - we saw the need we know we would have we would build all these functions that when some kind of object came into an object store we would spin up compute all those tasks would take like three or four hundred milliseconds then we spin it back down and yet we'd have to keep a cluster up in multiple availability zones because we needed that fault tolerance and it was we just said this is wasteful and that's part of how we came up with lambda and that you know when we were thinking about lambda people understandably said well if we build lambda and we build the serverless event-driven computing a lot of people who are keeping clusters of instances aren't going to use them anymore it's going to lead to less absolute revenue for us but we we have learned this lesson over the last 20 years at Amazon which is if it's something it's good for customers you're much better off cannibalizing yourself and doing the right thing for customers and being part of shaping something and I think if you look at the history of Technology you always build things and people say well that's gonna cannibalize this and people are gonna spend less money what really ends up happening is they spend spend less money per unit of compute but it allows them to do so much more that the ultimately long-term end up being you know more significant customers I mean you are like beating the drum all the time customers what they say we implement the roadmap I got that you guys have that playbook down that's been really successful for you yeah two years ago you told me machine learning was really important to you because your customers told what's the next tranche of importance for customers what's on top of mine now as you look at this reinvent kind of coming to a close replays tonight you had conversations your your tech a fleet you're running around doing speeches talking to customers what's that next hill from from my fist machine learning today there's so much I mean that's not it's not a soup question you know I think we're still in this in the very early days of machine learning it's not like most companies have mastered yet even though they're using it much more than they did in the past but you know I think machine learning for sure I think the edge for sure I think that we're optimistic about quantum computing even though I think it'll be a few years before it's really broadly useful we're very enthusiastic about robotics I think the amount of functions are going to be done by these robotic applications are much more expansive than people realize it doesn't mean humans won't have jobs they're just going to work on things that are more value-added I thought we're believers in augmented and virtual reality we're big believers and what's going to happen with voice and I'm also I think sometimes people get bored you know I think you're even bored with machine learning maybe already but yet people get bored with the things you've heard about but I think just what we've done with the chips you know in terms of giving people 40% better price performance in the latest generation of x86 processors it's pretty unbelievable and the difference in what people are going to be able to do or just look at big data I mean big date we haven't gotten through big data where people have totally solved it the amount of data that companies want to store process and analyze is exponentially larger than it was a few years ago and it will I think exponentially increase again in the next few years you need different tools the service I think we're not we're not for with machine learning we're excited to get started because we have all this data from the video and you guys got sage maker yeah we call it a stairway to machine learning heaven we start with the data move up what now guys are very sophisticated with what you do with technology and machine learning and there's so much I mean we're just kind of again in this early innings and I think that it was soaked before sage maker was so hard for everyday developers and data scientists to build models but the combination of sage maker and what's happened with thousands of companies standardizing on it the last two years Plus now sage maker studio giant leap forward we hope to use the data to transform our experience with our audience and we're on Amazon Cloud I really appreciate that and appreciate your support if we're with Amazon and Instant get that machine learning going a little faster for us a big that'll be better if you have requests so any I'm you talked about that you've got the customers that are builders and the customers that need simplification traditionally when you get into the you know the heart of the majority of adoption of something you really need to simplify that environment but when I think about the successful enterprise of the future they need to be builders yeah so has the model flipped if you know I normally would said enterprise want to pay for solutions because they don't have the skill set but if they're gonna succeed in this new economy they need to go through that transformation that yeah so I mean are we in just a total new era when we look back will this be different than some of these previous waves it's a it's a really good question Stu and I I don't think there's a simple answer to it I think that a lot of enterprises in some ways I think wish that they could just skip the low level building blocks and and only operate at that higher level abstraction it's why people were so excited by things like sage maker or code guru or Kendra or contact lens these are all services that allow them to just send us data and then run it on our models and get back the answers but I think one of the big trends that we see with enterprises is that they are taking more and more of their development in-house and they are wanting to operate more and more like startups I think that they admire what companies like Airbnb and Pinterest and slack and and you know Robin Hood and a whole bunch of those companies stripe have done and so when you know I think you go through these phases and errors where there are waves of success at different companies and then others want to follow that success and and replicate and so we see more and more enterprises saying we need to take back a lot of that development in-house and as they do that and as they add more developers those developers in most cases like to deal with the building blocks and they have a lot of ideas on how they can create us to creatively stitch them together on that point I want to just quickly ask you on Amazon versus other clouds because you made a comment to me in our interview about how hard it is to provide a service that to other people and it's hard to have a service that you're using yourself and turn that around and the most quoted line in my story was the compression algorithm there's no compression outliving for experience which to me is the diseconomies of scale for taking shortcuts yeah and so I think this is a really interesting point just add some color comments or I think this is a fundamental difference between AWS and others because you guys have a trajectory over the years of serving at scale customers wherever they are whatever they want to do now you got micro services it's even more complex that's hard yeah how about that I think there are a few elements to that notion of there's no compression algorithm I think the first thing to know about AWS which is different is we just come from a different heritage in a different background we sweep ran a business for a long time that was our sole business that was a consumer retail business that was very low margin and so we had to operate a very large scale given how many people were using us but also we had to run infrastructure services deep in the stack compute storage and database in reliable scalable data centers at very low costs and margins and so when you look at our our business it actually today I mean it's it's a higher margin business in our retail business the lower margin business and software companies but at real scale it's a it's a high-volume relatively low margin business and the way that you have to operate to be successful with those businesses and the things you have to think about and that DNA come from the type of operators that we have to be in our consumer retail business and there's nobody else in our space that does that you know the way that we think about cost the way we think about innovation and the data center and and I also think the way that we operate services and how long we've been operating services of the company it's a very different mindset than operating package software then you look at when you think about some of the issues and very large scale cloud you can't learn some of those lessons until you get two different elbows of the curve and scale and so what I was telling you is it's really different to run your own platform for your own users where you get to tell them exactly how it's going to be done but that's nothing really the way the real world works I mean we have millions of external customers who use us from every imaginable country and location whenever they want without any warning for lots of different use cases and they have lots of design patterns and we don't get to tell them what to do and so operating a cloud like that at a scale that's several times larger the next few providers combined is a very different endeavor and a very different operating rigor well you got to keep raising the bar you guys do a great job really impress again another tsunami of announcements in fact you had to spill the beans early with quantum the day before the event tight schedule I gotta ask you about the music festival because I think there's a really cool innovation it's the inaugural intersex conference yeah it's not part of replay which is the concert tonight right it's a whole new thing big music act you're a big music buff your daughter's an artist why did you do this what's the purpose what's your goal yeah it's an experiment I think that what's happened is that reinvent has gotten so big with 65,000 people here that to do the party which we do every year it's like a thirty five forty thousand person concert now which means you have to have a location that has multiple stages and you know we thought about it last year when we were watching it and we said we're kind of throwing like a four hour music festival right now there's multiple stages and it's quite expensive to set up that set for our partying we said well maybe we don't have to spend all that money for four hours in the rip it apart because actually the rent to keep those locations for another two days is much smaller than the cost of actually building multiple stages and so we we would try it this year we're very passionate about music as a business and I think we are I think our customers feel like we throw in a pretty good music party the last few years and we thought we were trying at a larger scale as an experiment and if you look at the economics the headliners real quick the Foo Fighters are headlining on Saturday night Anderson Park and the free Nashville free Nationals Brandi Carlile Shawn Mullins Willie Porter it's a good set Friday night it's back in Kacey Musgraves so it's it's a really great set of about 30 artists and we're hopeful that if we can build a great experience that people want to attend that we can do it it's scale and it might be something that you know both pays for itself and maybe helps pay for reinvent to overtime and you know I think that we're also thinking about it as not just a music concert and festival the reason we named it intersect is that we want an intersection of music genres and people and ethnicities and age groups and art and Technology all there together and this will be the first year we try it it's an experiment and we're really excited about I'm gone congratulations all your success and I want to thank you we've been seven years here at reinvent we've been documenting the history two sets now once-dead upstairs so appreciate a cube is part of reinvent you know you guys really are a part of the event and we really appreciate your coming here and I know people appreciate the content you create as well and we just launched cube 365 on Amazon Marketplace built on AWS so thanks for letting us cool build on the platform appreciate it thanks for having me guys Jesse the CEO of AWS here inside the cube it's our seventh year covering and documenting they're just the thunderous innovation that Amazon is doing they're really doing amazing work building out the new technologies here in the cloud computing world I'm John Force too many men be right back with more after this short break [Music]

>> Live from Orlando, Florida! It's theCube! Covering Enterprise Connect 2019 Brought to you by Five9. >> Welcome to theCUBE! We are live in Orlando, Florida at Enterprise Connect 2019! We're in Five9's booth. I'm Lisa Martin, with Stu Miniman. And we're welcoming Fuze to theCUBE for the first time. Michael Affronti, the SVP of Product and Design. Michael, welcome to theCUBE! >> Thank you, Lisa! Yeah, great to be here! >> So, talk to us about Fuze. Give our viewers a little bit of an opportunity to understand who you guys are. What you do in the unified communications space. >> Great, an easy start. So Fuze is a global unified communication provider. We've been around since 2006. We deliver voice, video, and messaging experiences on our cloud platform. One of the things that's unique about Fuze is that we specialize in selling to very large enterprises. So we work primarily with multi-thousand, ten-thousand seed organizations that are globally distributed. Almost half of our business comes from outside of North America. So we work really well with companies that are, you know, much like Fuze, globally distributed. Have workers scattered all over the place, and want to give them a tool and a technology that helps them come together to be more productive. >> Great. So Michael, before we get into Fuze Give us a little bit of your journey. You've been involved in this space for quite a long time. >> Yeah, absolutely. I like to joke that I've been in the cloud before there was a cloud. I've worked in unified communications my whole life. I'm very, very passionate about productivity. I like to make lists for pretty much everything I do. My wife also does, so that works out really well. But the thing is, I think that productivity at its core is really fundamental to the way that people get there job done in communication application. I've been working in communications since I graduated from college. I worked on some of the early email programs like Outlook. And then, I charted out on my own with some friends, and we did a small start-up in the communication space that helped us actually focus on blending machine learning with identity. That was called Contactive. Then, we met up with the folks working on Fuze. And decided to join forces in 2013. I've had a really great run since then, helping to build Fuze into what it is today. >> So, I just want to poke at one thing there. You talk about worker productivity. If I could look at studies the last couple of decades, the new technology wave doesn't necessarily give us better worker productivity. I'm curious to hear your viewpoint. What's working? What's not working? How can we actually as a workforce be more productive? >> I would say adoption is actually the most critical challenge that most organizations face when it comes to communication tools. Similar to what we talked about when we were chatting earlier. There's this concept of, "I know how to communicate at work. Don't change it." And when you change it, it's very disruptive. So even if the tools are actually better, like empirically better, workers' productivity would go down because they were either told to use it, or it's not as elegant to use as the thing they use on their consumer device. Which is why it's very important from Fuze's perspective that we focus on application experiences, but not only application experiences but the adoption of them through our cloud enablement and some of the practices that we put in place when we deploy to our customers. >> Let's stick into that adoption, because to your point, when everything changes, we're creatures of habit. But you guys are working with large enterprise organizations which, presumably have been around for a long time. They've got multiple generations of workers who are used to working in their own ways. What are some of the best practices that Fuze can help these large organizations employ to drive up adoption and really satisfy those workers? >> It actually starts with discovery, right? One of the first things that we do when we're working with a large enterprise is we ask them, what are the business units within your company? What are the demographics and the styles of work of the people in those different groups? And then we help, as part of our engagement plan. We actually come up with a persona map that says for these employees, even though you want to move to a full cloud solution, we recommend giving them a hard phone that goes on the desk. Because the style of their job and the ergonomics of putting a receiver on their shoulder will help them transition to using the software. As opposed to just ripping the phone off their desk and saying, "Here's a headset. Good luck." And we help the groups. The companies identify those groups, give them specific adoption patterns. Like the one I mentioned, to make the ease into using a new cloud solution, like Fuze, much easier to adopt. So that is persona based. Very, very specific with a clear plan. And we tend to see very high success in adoption rates. >> That's really interesting! Persona-based. For an average organization, how many different personas are you helping them design adoption strategies for? >> I would say, usually, less than a dozen. Depending on the size of the organization. You think about your major functions, back office, HR, finance, sales and marketing. Depending on the sales type, you'll have some others. So those are all individual personas that we'll develop a practice for. And one that's emerged recently for us, we announced our partnership with Samsung yesterday morning, and Enterprise Connect to help us target front line workers. The folks who are not in an office, who are out in the field, out in a truck, out in a manufacturing facility working with customers in a very different capacity. So we've started developing some amazing persona and enablement models, and software for them and partnership with Samsung to help them be successful and feel included with the rest of the organization. >> Michael, how are we doing with the dichotomy between what I can use, from a communication standpoint as a personal, you know when I've got my smartphone, I've got the latest apps. Millennials like to communicate a little bit differently than the boomers would, so that difference between what I do at home, versus the enterprises. Has that gap closed? Is the business user now as empowered as what the consumer could before? >> I would say the broad answer across the industry is no. I think most, if you look at most organizations and you actually stare at someone's phone, and you flip open their WhatsApp if they let you, and you ask them, "What's that group?" And they'll say, "Those are my colleagues for this project." Why do you have a WhatsApp group for that? "Eh, it's faster. One of the employees lives in Brazil." And there's always a reason. And they always default to what's easiest, and to what's probably available in an app store. So, I think the inherent challenge of communication apps in the enterprise is to engage the user in a way that they feel comfortable not going to that least common denominator, which is not secure, not protected, and none of the things that we don't want from an IT perspective. I think on a good way, what consumer experiences are doing is much like with instant messenger many years ago. They're helping to condition users to a new way of communicating, that they then bring that expectation to work. So you know, I give the example, we have an employee of one of our customers that made the joke to me. She said, "Oh, you guys still have phone calls? That's sort of like video with the screen turned off." And I said, "Yes, that's the other way to come at it. Right?" She doesn't think about it as picking up the phone. She thinks about, "I'm always going to be having a video chat with you, and sometimes you'll turn the video off." So, I think those expectations are changing, and I think our software and everyone's software has to match to adapt. >> You've talked about the frontline worker, in fact, that was addressed during the key note this morning as well. A number of the customers on the panel talking about how they have to enable those frontline workers. I'm wondering about the remote workers, because as you're working with large enterprise organizations, who have a plethora of remote workers in different cultures, different timezones. How can Fuze help bring that remote worker into the team so they really feel part of the team and are part of that actual collaboration on a daily basis? >> It's actually one critical thing that we did last year. Emoji support, right? So, emotion is really important. Getting people excited about the fact that I'm talking to you but I'm not physically next to you. When you lose the ability after a meeting to physically catch up with someone and say, "Hey, great job!' Honestly, emojis help drive emotion. One of the things we saw once we implemented that was an actual uptick in our user adoption. A small one, and when you actually ask users about it, they said, "Well, yeah. I got to send that a person a virtual high-five." So, I think remote employees yearn for the same experience you get when you physically bump into people at the office. I think the imperative for collaboration tools is to try to recreate some of that. Now, some of that is very sophisticated things with white boards and collaboration. But some of it could be as simple as sending a little smiley face or a thumbs-up. >> Yeah. Michael, I have certain friends of mine, if you don't have gif support, they're not using your engagement there. Wonder if you can help us connect the dots between the unified communication and the contact center? Which is a big theme here at the show, and obviously, our friends here at Five9 hosting us. >> Yeah, it's another great question. We have a great partnership with Five9 at Fuze. We service a lot of joint, large customers together. And I think the reason that we do that, actually, I know the reason we do that. It's because those customers have a single challenge, if you will. They want to be able to communicate to the people that they work with, which is primarily going to be through Fuze, and the people that are buying their products and services. And those people are going to be talking to them through the Five9 platform. So, it's this idea that when I need to get help from someone and I'm on the call with a customer, how do I go do that easily? How do I go find the people that I need to talk to? Those walls, I think traditionally, were very, very strict. Contact center folks had a hard time getting access to subject matter experts, or anyone they needed to talk to. But I think that's evolved a lot. >> Yeah, wondering if you can help me with reconciling some data that I heard out there. Fuze, you talked about very large scale customer deployment. Some of the vendors here are like, "Well, when you talk about cloud contact centers, they're not going to go to the largest environment." We know cloud scales pretty well. So maybe you can help us. Where does the Fuze customer base, the Five9 customer base scalability and size, Where do those intersect? >> Yeah, I think the way that we intersect is actually in a couple of places. So First and foremost, when we sell joint customers, I think it's also, I know that our definition of actually what large means can be different, right? For example, large multi-thousand seed organization that goes wall to wall with Fuze, not all of them are contact center agents. In fact, usually it's a small ratio of contact center agents. But, contact center could also mean something different per deployment. There could be externally facing contact center agents. There could be a direct sales team that uses the Five9 platform to communicate outbound or receive inbound sales lead calls. There may also be internal help desks at large organizations that use them for HR support, IT, or manufacturing services. So, I think what we see is that there's not an exact match between the two types of organizations that we service, but the ones that we work together in, there's a high overlap in need based on those personas. >> So you've been in UC for a long time, as you said. We're only half-way through stage 2 of the event, but I'm curious Michael, some of the announcements that have come out in key notes this morning, what excites you about the evolution of enterprise communications and collaborations that you've heard so far this week? >> Yeah, I think it's interesting over the years I've been at Enterprise Connect for four years in Fuze, and a few years back when I was in my old role, and I think it came from a place that was very much about speeds and feeds, and switches and hardware. To now, we're talking about frontline workers in waste removal trucks trying to make them feel included. I think the thing that excites me the most is that almost all of the technology here is focused on this idea of inclusivity, right? The idea that you're a remote worker and maybe the emoji is the thing that works for you and I. But if you're a frontline worker, or maybe you're between shifts, or you're stopped on the road. How do you bring technology to bear that helps them feel included? Helps them feel a part of the role and a part of their company? I think what's really cool too is, as opposed to speeds and feeds traditionally talked about, you're starting to hear things around the conference around the retention, employee engagement. How hard it is to hire talent in a job market like it is in North America today. Those are the things that really matter when you think about employee engagement, which is a direct function of how connected do they feel? Especially, if they're working from home at a satellite office. So, I love the change that it's now more about the person and their engagement as an employee, as opposed to, I don't know. How cool is your technology? I think that shift is really important because what we do is sort of fundamental to people getting their job done. >> There's a tremendous interest, because this is the largest event that they've done. They were saying this morning, 6,500 attendees, 140 vendors. That momentum is palpable. It's moving forward, as you say. And you can see there's a lot of excitement moving forward. But also getting to more of that personalization that, we're all consumers in every aspect. We expect it. >> Right. Yeah, yeah. >> Last question I had for you. You've got design in your title. I'm curious, are some of the generational things have to be taken into consideration as to the millennials with their mobil, they're used to that versus some of the more experienced workers in the force? Where do you see that going in the future? >> Yeah, the design of what we build at Fuze is critically important to adoption. And I always give this very basic example. How many times a day do you pick up your phone and go to check a message? Whether it be a text message, or flip through your recent calls, return a call? How many times, when you're on a call, do you hang up the call? Every time, right? Those gestures are really, really important. So one of the things that we actually stare at in Fuze is how close is the actual exit call button from the edge of the screen on most phones? And it sounds like a very nuance thing, but for actions that you do repetitively throughout the day, the ergonomics of well designed consumer applications make those things feel great. No matter if you're left or right handed. If the phone is a phablet or a small one. So, I think the design of Enterprise applications, back when I first started, were it's gray. Just use it and be quiet. Now it's much more of something where you must watch someone use your application and look at the telemetry to understand, are they having a good experience? Our software asks you after every call and meeting, "How was it? Rate it one through five stars." And that information actually helps us tune the software. I know most of our vendors in the space do similar things because we have to listen to the individual and user. We cannot rely on the abstracted opinions of stuff that comes up through surveys. >> Absolutely, listening to that voice of the customer. Well Michael, thank you so much for stopping by theCUBE and talking with Stu and me today about Fuze. What you guys are doing and your experience as the industry is evolving. We appreciate your time! >> Awesome! Thank you Lisa! Thank you Stu! It's been great. I appreciate it! >> For Stu Miniman, I'm Lisa Martin! You're watching theCUBE. (techno music)

>> From the SiliconANGLE Media office in Boston, Massachusetts, it's theCUBE. Now, here's your host, Dave Vellante. >> Hi everybody. This is Dave Vellante and welcome to this CUBE conversation. I've been following trends in backup and recovery and data protection for decades and I'll tell you right now is one of the most exciting eras that I've ever seen and with me here to talk about some of the trends and some hard news is Beth Phalen. She's the president and general manager of Dell EMCs data protection division. Beth it's great to see you again. Thanks for coming on. >> It's great to be here Dave. It's always good to talk to you. >> So, there's been a subtle change in IT. Even when you go to sort of the downturn in 2008 where IT was largely a support function. It's really now becoming a fundamental enabler. Are you seeing that with your customers? >> Absolutely. The vision of IT being some back office that is segregated from the rest of the company is no longer true. What we find is customers want their application owners to be able to drive data protection and then have that compared with the central oversight so they can still have that global overview. >> The other change is, for years data has been this problem that we have to manage. I got so much data. I got to back it up or protect it, move it. It's now become a source of value. Everybody talks about digital transformation. It's all about how you get value from data. >> Yeah. And it's so interesting because it was there all the time. Right? And suddenly people have realized, yes, this is an asset that has a huge impact on our business on our customers and again makes it even more important that they can rely on getting access to that data because they're building their business on it. >> So as the head of the data protection division, it's interesting. Even the palance has changed. It used to be, when it was just tape it was backup and now it's data protection. So the mindset is shifting. >> It is and it's continuing to shift with new threats like cyber recovery and other challenges that are out there, protecting data becomes the core of what we are offering our customers. >> So let's talk a little bit more about the catalysts for that change. You got tons of data, you are able to apply now machine intelligence like you never have before and you got cloud which brings scale. So this is changing the needs of customers in the way in which they protect data. >> As customers data becomes more and more distributed across multiple cloud providers, multiple locations, it's even more important that they can answer the question, where is my data and is it protected? And that they can recover it as quickly as possible. >> And you're seeing things like DevOps, data protection strategies and data management strategies, and so supporting DevOps and analytics applications. You also have new threats like ransomware. So it's a more fundamental component of cyber. >> Yeah and you will hear us talking a little bit about cyber recovery, the new product that we introduced last year. We can't just think about data protection as backup. We have to think about it as the comprehensive way that customers can get access to their data even if they're attacked. >> So much has changed. Everything has changed. >> The level of innovation that we've been doing has been keeping up with that change. And that's one of the things that I'm most excited about as the president of this division. We've been investing in enhancing the customer experience, and cyber recovery as I mentioned and expanding into new markets into driving a new level of reliability and resiliency, building on the duration that we have. And of course expanding into the cloud. So one of the things that hasn't changed is the fundamentals of I need to get my data back, I need to be trusted. Why is it, you guys make a big deal out of being number one. You're number one in all the Gartner Magic Quadrants and so forth. Why is leadership so important to customers and what are those fundamentals that haven't changed? >> So two questions there. First, leadership is so important because we have more experience protecting data around the globe than anybody else. And that means all environments right from the multi-petabyte, major corporations to the shops have maybe a terabyte. So 24 terabytes. We're involved in it all. So that experience is important. And then those fundamentals you talked about, lowest cost to protect, fastest performance, fastest backups and resiliency, those fundamentals have to be part of any data protection product. >> The way you guys are organized, you are in chare of R&D as well, you talked about innovation before. I wonder if you could talk a little bit more about how your R&D investments are translating into customer value in terms of price performance. So resiliency, speed, cost. What's going on there? >> The biggest thing that I wanna talk about and highlight here is how much our investment in cloud is enabling our customers to continue to have confidence that they can get the same level of digital trust that they've had with us on prem but now as they expand into the cloud for cloud disaster recovery, long-term retention, data protection in the cloud that that confidence comes with them. And we're doing it in a way that allows them to seamlessly expand into the cloud without having to introduce additional gateways, additional hardware. It becomes an extension of their data protection infrastructure. >> So the cloud operating model is very important here. What are you guys doing for instance, admins, application owners, in terms of enabling self-service for example. >> We have the broadest application support of any company. And what we're doing is we're integrating directly with those applications. Whether it be Oracle, SAP. You can go down the list. And then of course directly integrating with VMware for the VM admins. That's not enough though because if we just did that you wouldn't be able to have one view of how your data protection policies are working. And so we pair that with centralized governance to make sure that the person in charge of the data protection for that company still could have confidence that all the right things are happening. >> So what does the data protection portfolio look like? How should we think about that? >> Three simple things, Data Domain, our new integrated appliances and data protection suite. >> Okay. Follow up question on that is, how do you, for customers, obstruct the complexity? How are you simplifying their world especially in this cloud operating module. >> Simplifying comes in multiple stages. You have to simplify the first box to backup experience. We've cut that down to an hour and a half, two hours in max. From there, you have to make sure the day-to-day tasks are simple. So things like two clicks to do cloud failover, three clicks to failback. Things like a single step to restore a file in a VMware environment and then live movement of that VM to another primary storage array. That kind of targeted customer use case simple process is core to what we've been doing to enhance the customer experience. >> Now, you guys aren't really a public cloud provider so you gotta support multiple clouds. What are you doing there in terms of both cloud support and what are you seeing in multi-cloud. >> Most customers have more than one cloud provider that they're working with. So what we do is we allow the customers specific example right from within the data domain interface to select which cloud they wanna tier to and then they can also select other cloud providers through the same interface. So, it's not a separate experience. They can focus on the Data Domain but then interact with multiple clouds. >> Awesome. Beth, thanks for taking some time here to set this up. We're gonna hear about some hard news that you guys have today. We've got some perspectives from IDC on this but right now lets take a look at what the customer says. Keep it right there. (chilled piano music) >> Phoenix Children's is a healthcare organization for kids. Everything that we do is about the kids. So we wanna make sure that all our critical data that a doctor or a nurse needs on the floors to be able to take care of a sick kid, we need to make sure it's available at any time. The data protection software that we're using from Dell EMC with Data Domain give us that protection. Our critical data are well kept and we can easily recover them. Before we moved to Data Domain we were using Veritas NetBackup and some older technology. Our backup windows were taking upwards of 20 to 24 hours. Moving to Data Domain with de-duplication we can finish our full backups in less than seven hours. The user deployment for data protection software and Data Domain was very easy for us. Our engineers, they have never worked with data protection software or Data Domain before. They were able to do some research, walk a little bit with some Dell engineers and we were able to implement the technology within a month, a month and a half. ECS for Phoenix Children's Hospital is a great technology. Simple to use, easy to manage. The benefits from a user perspective are tremendous. From an IT perspective, I can extract terabytes of data in less than an hour. When we get into a critical situation, we can rely 100% on ECS that we will get the information that the doctor or the nurse needs to take care of the kid. The data protection software and the Data Domain benefits for Phoenix Children's Hospital are great. There is a solution that works seamlessly together. I have no worries that my backups will not run. I have no worries I will not be able to recover critical applications. (chilled piano music) >> We're back with Ruya Barrett who's the vice president of marketing for Dell EMC's Data Protection division. We got some hard news to get into. Ruya, let's get right into it. What are you guys announcing today? >> We are announcing a basically tremendous push with our data protection family both in Data Domain and Integrated Data Protection appliances and the software that basically makes those two rock. >> So, you've got a few capabilities that you're announcing. Cloud performance. Take us through sort of at a high level. What are the three areas that you're focused on this announcement? >> Exactly. You nailed it Dave. So three areas of announcement, exciting cloud capabilities and cloud expansion. We've been investing in cloud over the last three years and this announcement is just a furthering of those capabilities. Tremendous push around performance for an additional use cases and services that customers want. The last one but not least is basically expanded coverage and push into the mid-market space with our Data Domain 3300 and IDPA 4400. >> And this comes in the form of software that I can install on my existing appliances? >> It's all software value that really enables our appliances to do what they do best, to drive efficiency, performance but it's really the software layer that makes it sane. >> And if I'm a customer I get that software, no additional charges? >> If you have the capabilities, today you'll be able to get the expanding capabilities. No charge. >> Okay. So one of the important areas is cloud. Let's get into some of the cloud use cases. You're focused on a few of those. What are they? >> Cloud has become a really prevalent destination. So when we look at cloud and what customers wanna do with regards to data protection in the cloud, it's really a lot of use cases. The three we're gonna touch on today is really cloud tiering. Our capabilities are in cloud tiering with long time archival. So they're really trying to leverage cloud as a long time archival. The second one is really around cloud disaster recovery. To and from the cloud. So that's really important use case. That's becoming really important to our customers. And not, God forbid, for a disaster but just being able to test our disaster recovery capabilities and resiliency. And the last one is really in-cloud data protection. So those are the three use cases and we have enhancements across all three. >> Let's go deeper into those. So cloud tiering. We think of tiering. Often times you remember the big days of tiering, inbox tiering, hot data, cold data. What are you doing in cloud tiering? >> Well, cloud tiering is our way of really supporting object storage both on premises and in the cloud. And we introduced it about two years ago. And what we're really doing now is expanding that coverage, making it more efficient, giving customers the tools to be able to understand what the costs are gonna be. So one of the announcements is actually a free space estimator tool for our customers that really enables them to understand the impact of taking an application and using long-term retention using cloud tier both for their on-premise data protection capacity as well as what they need in the cloud and the cost associated. So that's a big question before customers wanna move data. Second is really broadest coverage. I mean, right now in addition to the usual suspects of AWS, Azure, Dell EMC Elastic Cloud Storage, we now support Ceph, we support Alibaba, we support Google Cloud. So really, how do you build out that multi-cloud deployment that we see our customers wanting to do with regards to their long-term archival needs? So really expanding that reach. So we now have the broadest coverage with regards to archiving in the cloud and using cloud for long-term retention. >> Great. Okay. Let's talk about disaster recovery. I'm really interested in this topic because the customers that we talk to they wanna incorporate disaster recovery and backup as part of a holistic strategy. You also mentioned testing. Not enough customers are able to test their DR. It's too risky, it's too hard, it's too complicated. What are you guys doing in the DR space. >> So one of the things that's I think huge and very differentiated with regards to how we approach, whether it's archive or whether it's DR or in-cloud is the fact that from an appliance standpoint you need no additional hardware or gateway to be able to leverage the capabilities. One of the things that we introduced, again cloud DR over a year ago, and we introduced it across our Data Domain appliances as well as our first entry to the mid-sized companies with IDPA DP 4400. And now what we're doing is making it available across all our models, all our appliances. And all of our appliances now have the ability to do fully orchestrated disaster recovery either for test use cases or actual disasters, God forbid, but what they are able to do. The three click failovers and the two click failbacks from the cloud. So both for failback from the cloud or in the cloud. So it's really big and important use cases for our customers right now. Again, with that, we're expanding use case coverage to now, we used to support AWS only, now we also support Azure. >> Great. Okay. The third use case you talked about was in-cloud data protection. What do you mean by that and what are you doing there? >> So one of, again, the really interesting things about our portfolio is our ability to run it as an integrated hardware-software platform or in the form of a software only deployment. So our data domain virtual addition is exactly that. You can run our Data Domain software in virtual machines. And what that allows our customers to do is whether they're running a software defined data center on prem or whether they want in-cloud capabilities and all that goodness they have been getting from Data Domain in the cloud, they now can do that very easily. And what we've done in that space with this announcement is expanded our capacity coverage. So now Data Domain Virtual Edition can cover 96 terabytes of in-cloud capability and capacity. And we've also, again, with that use case, expanded our coverage to include Google Cloud, AWS, Azure. So really expanded our coverage. >> Great. I'm interested in performance as well because everybody wants more performance but are we talking about backup performance, restore performance? What are you doing in that area? >> Perfect. And one of the things, when we talk about performance, one of the big use cases we're seeing that's driving performance is that customers wanna make their backup copies do more. They wanna use it for application test and development, they wanna use it for instant access to their VMs, instant access and restores for their VMs. So performance is being fueled by some additional services that customers wanna see on their backup copies. So basically one of the things that we've done with this announcement is improved our performance across all of these use cases. So for application test of test of development, you can have access to instant VMs. Up to 32 instant access and restore capabilities with VMs. We have improved our cash utilization. So now you can basically support a lot more IOPS, leveraging our cash, enhanced cash, four times as many IOPS as we were doing before. So up to 40,000 IOPS with almost no latency. So tremendous, again, improvement in use cases. Restores. Customers are always wanting to do restores faster and faster. So file restores is no exception to that. So with multi-streaming capability, we now have the opportunity and the capabilities to do file restores two times faster on premise and four times faster from cloud. So again, cloud is a big, everything we do, there's a cloud component to it. And that performance is no exception to that. >> The last thing I wanna touch on is mid-market. So you guys made an announcement this past summer. And so it sounds like you're doubling down on that space. Give us the update. >> Sure. So we introduced the Data Domain 3300 and our customers have been asking for a new capacity point. So one of the things we're introducing with this release is an eight terabyte version of Data Domain 3300 that goes and scales up to 32 terabytes. In addition to that, we're supporting faster networking with 10 gig E support as well as virtual tape libraries over Fiber Channels. So virtual tape libraries are also back and we're supporting with Data Domain 3300. So again, tremendous improvements and capabilities that we've introduced for mid-market in the form of Data Domain 3300 as well as the DP4400 which is our integrated appliance. So, again, how do we bring all that enterprise goodness to a much broader segment of the market in the right form factor and right capacity points. >> Love it. You guys are on a nice cadence. Last summer, we had this announcement, we got Dell Technologies World coming up in May, actually end of April, now May. So looking forward to seeing you there. Thanks so much for taking us through these announcements. >> Yeah, thank you. Thanks for having us. >> You're very welcome. Now, let's go Phil Goodwin. Phil Goodwin was an analyst at IDC. And IDC has done a ton of research on the economic impact of moving to sort of modern data protection environment, they've interviewed about a thousand customers and they had deep dive interviews with about a dozen. So let's hear from Phil Goodwin in IDC and we'll be right back. (chilled music) >> IDC research shows that 60% of organizations will be executing on a digital transformaion strategy by 2020, barely a year away. The purpose of digital transformation is to make the organization more competitive with faster, more accurate information and timely information driving driving business decisions. If any digital transformation effort is to be successful, data availability must be a foundational part in the effort. Our research also shows that 48.5% or nearly half of all digital transformation projects involve improvements to the organizations data protection efforts. Purpose-built backup appliances or PBBAs have been the cornerstone for many data protection efforts. PBBAs provide faster, more reliable backup with fewer job failures than traditional tape infrastructure. More importantly, they support faster data restoration in the event of loss. Because they have very high data de-duplication rates, sometimes 40 to one or more, organizations can retain data onsite longer at a lower overall cost thereby improving data availability and TCO. PBBAs may be configured as a target device or disk-based appliance that can be used by any backup software as a backup target or as integrated appliances that include all hardware and software needed for fast efficient backups. The main customer advantages are rapid deployment, simple management and flexible growth options. The Dell EMC line of PBBAs is a broad portfolio that includes Data Domain appliances and the recently introduced Integrated Data Protection Appliances. Dell EMC Data Domain appliances have been in the PBBA market for more than 15 years. According to IDC market tracker data as of December 20th, 2018, Dell EMC with Data Domain and IDPA currently holds a 57.5% market share of PBBA appliances for both target and integrated devices. Dell EMC PBBAs have support for cloud data protection including cloud long term retention, cloud disaster recovery and protection for workloads running in the cloud. Recently IDC conducted a business value study among Dell EMC data protection customers. Our business value studies seek to identify and quantify real world customer experiences and financial impact of specific products. This study surveyed more than 1000 medium-sized organizations worldwide as well as provided in-depth interviews with a number of them. We found several highlights in the study including a 225% five-year ROI. In numerical terms, this translated to $218,928 of ROI per 100 terabytes of data per year. We also found a 50% lower cost of operating a data protection environment, a 71% faster data recovery window, 33% more frequent backups and 45% more efficient data protection staff. To learn more about IDC's business value study of Dell EMC data protection and measurable customer impact, we invite you to download the IDC white paper titled, The Business Value of Data Protection in IT Transformation sponsored by Dell EMC. (bouncy techno music) >> We're back with Beth Phalen. Beth, thanks again for helping us with this session and taking us through the news. We've heard about, from a customer, their perspective, some of the problems and challenges that they face, we heard about the hard news from Ruya. Phil Goodwin at IDC gave us a great overview of the customer research that they've done. So, lets bring it home. What are the key takeaways of today? >> First and foremost, this market is hot. It is important and it is changing rapidly. So that's number one. Data protection is a very dynamic and exciting market. Number two is, at Dell EMC, we've been modernizing our portfolio over the past three years and now we're at this exciting point where customers can take advantage of all of our strenth put in multi-cloud environment, in a commercial environment, for cyber recovery. So we've expanded where people can take the value from our portfolio. And I would just want people to know that if they haven't taken a look at the Dell EMC data protection portfolio recently, it's time to take another look. We appreciate all of our customers and what they do for us. We have such a great relationship with our customer base. We wanna make sure that they know what's coming, what's here today and how we're gonna work with them in the future. >> Alright. Well, great. Congratulations on the announcement. You guys have been hard at work. It is a hot space. A lot of action going on. Where can people find more information? >> Go back to dellemc.com, it's all there. >> Great. Well, thank you very much Beth. >> Thank you Dave. >> And thank you for watching. We'll see you next time. This is Dave Vellante from theCUBE. (chilled music)

>> Announcer: Live from Chicago, Illinois, it's theCUBE. Covering VeeamOn 2018. Brought to you by VeeamOn. >> We're back. VeeamOn 2018. You're watching theCUBE, the leader in live tech coverage, where we go out to the events and we extract the signal from the noise. Dave Vellante, with my co-host Stu Miniman and Marc Crespi is here. He's the Vice President of Sales Engineering at ExaGrid, another Mass boy. Welcome back to theCUBE. Good to see you again, Marc. >> Thanks, great to be with you guys again. Great to be on another fantastic VeeamOn in the world-class city of Chicago. >> Yeah, it's a great city. What's happening at VeeamOn for ExaGrid this year? >> Quite a few executive meetings, a lot of customer contact, existing customers, prospective customers, meeting with the joint sales teams and so on. We coordinate a lot with VeeamOn in the field and on an engineering level, so great to get off the phone and see each other face to face and really deepen the relationship. >> So, talk a little bit about what the conversation is like with customers, particularly as it relates to data protection. We're hearing a lot on cloud, multi-cloud, intelligent data management. What does that all mean to your customers? >> Sure. So, obviously VeeamOn provides a wealth of different functionality in all of those areas, whether it be the intelligent data management, which includes cloud components, et cetera. We at ExaGrid play a role, mostly on the on-premise side, to be honest, of the equation. And because we typically deal with a quite large customers, the use of the cloud is really, typically relegated for older, more archive oriented data, or long-term retention backup data than it is for primary data, or even primary copy for disaster recovery simply because of the logistics of managing that much data when you may need it. However, the cloud plays a very important role in those types of customers, as many of them have regulatory requirements, compliance requirements to keep data long-term that they may never need to access, or never need to touch. In which case tiering that out to the cloud is a potentially good strategy. >> Marc, one of the things we're watching at this show is how VeeamOn's trying to get deeper and broader into the enterprise. If you can, give us a little color as to how you're seeing, where is VeeamOn being successful, what are customers liking for that kind of solution? >> Sure. We're seeing a significant amount of traction with VeeamOn and enterprise customers. In fact, we met with a large travel agency out here at the show who's looking at both VeeamOn and ExaGrid as a combined solution. So we're working very closely. VeeamOn has a dedicated enterprise team in the field, and they're breaking down doors to a number of the different enterprises. And our solution, the way it scales and its performance profile is very well-suited to the enterprise. We are an enterprise-class company as well, so we're doing cross-introductions for each other and to each other's enterprise customer base as we go. >> Talk a little bit more about your solution, where the sweet spot is. We always talk about horses for courses on theCUBE. >> Marc: Sure. Yeah. >> What's your favorite course? >> So, we define a target customer, the first demographic that we use is typically the amount of data they have under management. Put another way, the amount of primary data they have, or the utilization on their primary storage. And where we typically live, these days is 50 terabyte is kind of the low end, all the way up to multiple petabytes of data being backed up. And we can store many, many weeks, or months, or years of that data because of the data deduplication impact. But that's our sweet spot. And typically that's the most key demographic for us to look at, is how much data they're managing. >> And you're an infrastructure provider, obviously. You have software, but you don't do backup software. That's not your specialty, right? >> That's correct. That's one of the reasons we have such a close relationship with VeeamOn. And, quite honestly, we partner with a number of folks, but VeeamOn is clearly one of our key, if not our key partner because they provide the data protection functionality, the management, et cetera, and we provide the intelligent hyperconverged secondary storage that can store all of that data, deduplicate it, replicate it, and also provide, uniquely, I might add; support for some of VeeamOn's really critical features, like Instant VM Recovery and Virtual Lab and SureBackup. Because of the way our product is architected those features work extremely well with us, where in some cases, in some solutions they don't quite work as well. >> I think back to a number of years ago deduplication was all the talk in the storage industry. How are the latest trends in everything from Flash's adoption, NVMe, and NVMe over fabric coming soon, how's that going to impact what customers are doing in your space? >> Sure, so first I'll tackle the deduplication part of it. There's no question that it's now become an accepted norm. It's rare these days that you're explaining what it is, or what it does. But there still is one left over misconception that I think it's really important for all of us who have deduplication to educate customers. And that is that not every type of deduplication is created equal. Sometimes people conflate it with compression. You know, all compression's kind of the same to a certain extent. The way deduplication is implemented, there are certain characteristics that will either increase the amount of data reduction you get or lessen the amount of data reduction you get. For customers it's really important to know what type of algorithm you're dealing with 'cause that's going to translate to cost over the long term. So that's the first thing. The other trends, the adoption of Flash and so on, really has been more on the primary storage side, where that level of performance is required for high transaction, high performance requiring applications and so on. Because Flash remains quite a bit more expensive than spinning disc is, it's inroads into backup or secondary storage have been somewhat more on a limited basis. >> So, if I understand you correctly, a large part of the data reduction is a function of the algorithm... I don't want to say not so much the workload, but I was always under the impression that the workload determined the sort of data reduction efficacy. >> Marc: Sure. >> Which I'm sure is true, but you're saying the algorithm also has a huge impact. >> It's a combination. So, there's no question that certain data types deduplicate extremely well, other types not as well, and some not at all. You know, pre-compressed, pre-encrypted data tends not to deduplicate well at all. Where the algorithm comes in is there's a couple of elements, not to get to get too much in the weeds, but something called block size, which is basically the size of the objects that you examine when you deduplicate, and then whether or not you do what's called variable-length analysis, which is adjusting to the fact that the data is expanding and shrinking as it's changing. Algorithm's that implement very large block sizes and avoid variable-length technology are going to get much lower deduplication ratios than algorithms that implement both of those elements, smaller object sizes, and variable-length technology. And we're in the latter category of the more aggressive form of deduplication. >> So, you've got greater granularity and the greater ability to drive data reduction ratios, assuming the workload is favorable to that. >> Exactly right. If you were to compare the same workload across the two algorithms, the less aggressive and the more aggressive, the more aggressive is going to do better on that workload than the less aggressive. >> And again, I know it depends on the workload, but are we talking about on a percentage basis 10% better, 20%, 50%, a 100%? >> Marc: Multiples better. Some cases five to 10 times better. >> Even an order of magnitude in some cases. >> Marc: An order of magnitude better, yes, in some cases. >> What about encryption? What's the state of encryption these days? What are you advising customers with regard to encryption? >> Well, for years we've been under the impression that everything's going to have to be encrypted at some point. It's been a slow journey. You know, there's PCI compliance, HIPPA compliance. Obviously, there's been some pretty infamous hacks that have happened and so on. So the way we look at encryption, we have encryption solutions, self-encrypting appliances, and we recommend to customers, even if you don't need encryption today, if there is a slight chance that you'll need it in the future, then go with our encrypting line of appliances. The cost difference is nominal. It's in single-digit, low single-digit percentages, and it's there when you need it. So you don't have to potentially swap after that. We also do encryption any time we move data over the LAN. So we're fully ready for all of these compliances. It's certified encryption, you know, federal level certification, et cetera, so-- >> Yeah, Marc, let us know what companies aren't aware of the need for encryption and I'm going to short those stocks. (laughing) >> Okay, you got it. Yeah, you might want to change your bank. >> All right. Got to ask you. Brady, if you were Robert Kraft, would you have traded Tom Brady? >> Absolutely not. >> That's unanimous, there. Three for three on that. >> Absolutely, no. >> Okay, why not? What would the rationale be? >> I think he's got a lot more to give yet. I think it would have been on par with the Babe Ruth trade. It would have been a historical disaster. You know, he got us to the Super Bowl last year. Granted, Philly inched us out, but I still think he's the GOAT and he's going to stay the GOAT. >> Giselle said Tom Brady can't catch the ball. I would say also, he can't play defense, so-- >> I would agree with that as well. >> All right, what about Garoppolo? Do you think it was the right move to hold onto him, essentially as an insurance policy in case Brady went down before the trade deadline, or should they have been more proactive and gotten more for him? >> I think it probably would have been the right move for the Patriots to hang on to Garoppolo, however, for Garoppolo himself, and for the fact that they needed to get at least something for him, I think it was the right move at the right time. He needs to play. He's a great quarterback. He's already turning that San Francisco franchise around. >> Right. >> So I'm happy to see him play. I actually now start watching 49ers games 'cause I want to root for him. >> Me, too. I'm a fan of Garoppolo. >> Marc: He's a son of the Patriots. >> I agree. I think it was the smart move, Stu to keep him as an insurance policy, just in case. You don't know. I mean, Brady, you know, 40 plus years old. I mean, look what happened last year. >> It's the economics, Dave, though. They weren't going to pay him what he needed to be able to be a backup, and I agree with Marc. He was ready to play, obviously and it is fun to watch him on the 49ers. >> No, we agree. One of 'em had to go, right? Okay, and now we're three for three. So Peter McKay, Patrick Osborne, and now Marc Crespi all say Brady should stay. Right move. We'll see. Hey, they're the favorite to win the Super Bowl next year. Hopefully, they can get there. >> Sounds like I'm in good company. >> Marc, thanks very much for coming back on theCUBE. >> Thank you. It's always a pleasure to see you guys. >> All right, keep it right there, everybody. We'll be back with our next guest right after this short break. You're watching theCUBE, from VeeamOn 2018. (upbeat music)

>> Announcer: Live, from Las Vegas, it's theCUBE, covering AWS re:Invent 2017. Presented by AWS, Intel, and our ecosystem of partners. >> Welcome back everyone, live here in Las Vegas it's AWS re:Invent, it's theCUBE exclusive coverage of re:Invent 2017, our 5th year covering Amazon, watching the explosive growth. I'm John Furrier, the co-founder of SiliconANGLE Media, with Justin Warren my co-host here for this segment. Our next guest is Raejeanne Skillern, Vice President of the Data Center Group and also General Manager of the Cloud Service Provider, part of Intel. Welcome to theCUBE. >> Thank you very much, it's nice to be here again. >> So, Intel inside the Cloud is big growth for you, what's the numbers look like, your earnings look pretty good, what's the business update? >> You know, it is growing, and it's growing in so many different angles, it's coming from multiple fronts. Part of it is just these killer workloads that are driving the need for change. Artificial Intelligence, immersive media, network transformation to handle all the data. It is causing this real spur in growth, from both the very largest of Cloud service providers across the ecosystem, and one of the things when I look at the growth, I try to say, now where is it really coming from? Yes, Amazon is just insanely growing fast and the big guys are doing well, their global expansion, But, also, the next wave of Cloud service providers, and regions, and different countries, are doing really well too, they're actually growing faster, so the whole ecosystem is growing with demand. >> Yeah, it's certainly not slowing down. I can't see any way in which that it would slow down at all, if anything it's just gonna get faster. >> I think so, and when I track trends like CapEx spending and analyst predictions on the future, consumer demand, everything indicates we're gonna see another strong 5-10 years. >> Justin: Yep. >> So how do the Cloud service providers shake out because if you look at this creativity of software renaissance, the interactivity, all the amazing use cases, from Thorn, finding missing exploited children, to, you know, high end HPC scientists, genome sequencing stuff. Massive use cases. >> Raejeanne: Right. >> So that's going to be a tsunami of software developers, Changing. How does that shape the Cloud providers, does it segment them into tiers, how are you guys looking at that business? >> Well I think it breeds a lot of new opportunity. So, yes, you see more and more new services and capabilities to enable developers to more easily develop code, to more quickly, to get better utilization out of their code. But I also think just the concept of a mocking performance and ease, means new insights, new services, new capabilities, things that we just couldn't, a developer, we could not have done before. So it's that, just like electricity, when you make it cheaper and easier to consume, we use more of it. I think Cloud computing is the same way. So we're seeing kind of a natural tam expansion, market expansion, around these things you just couldn't do without the Cloud. >> And new workloads, too. >> And new workloads. >> And all of those workloads, Intel is basically completely repositioning itself from just being a chip company, it's like, you're a data company now. So, what are some of the things that Intel's doing to help people understand how they can make use of these new software techniques, and these new tools, and the capabilities of the Intel chips they're dependent on. So what are some of the things that Intel's doing there? >> So obviously it starts at the bottom, with the best silicon, not just compute, but compute, network, and storage, and accelerators, for all different workloads. We move up to the platforms, we do a lot of hardware engineering with the ecosystem, with our top CSPs, actually many top CSPs, we do direct engineering work to get better systems of architecture. We have a host of libraries we're creating that ease of use, and mocking performance out of it. Reference architectures, co-partners, and solutions. So for us when we talk about being a data company, we can't do it from just even being a chip, we have to be a solutions partner, with Cloud service providers, enterprise, IOT edge solutions, we try to be there. >> You guys always enabled some very cool demos in the day, even back on the PC you always had interactivity, you pioneered multimedia. You always had that eye on the applications. Okay, on stage today all this greatness is out there: NFL demos, all this cool stuff. That's really powering your business, so talk about your relationship with Amazon web services, what's it like, how do you guys engage with them, what's the relationship, 'cause you guys are power engine for AWS. >> Yeah, well we try to be. We wanna be the best performance into their data center. We've had a many, many, many year deep relationship with Amazon. It started from simple co-development and engineering, and is extended much more pervasively across their environment and it poured sometimes into the services. We just, we want to one, make sure that what we're delivering today has been already optimized specifically for their unique environment, and that means we have to start a year or two before, if not earlier, to really understand where they're going, and get their feedback, so that when we either optimize a product or technology across compute network or storage, or create something potentially custom for them, right, it takes a number of years of work, so our partnership has a lot of in-depth engineering, it has a lot of future and near-term enabling, and then we hope to see an expansion. What we really want to do is use our technology to differentiate Amazon. We want their services better because of the technologies or capabilities we put in, so wherever they wanna align in terms of strategic investment and growth markets, we wanna make sure the silicon can enable it. >> Intel always marched to the cadence of Moore's law, and you guys have always been a rapid machine, execution. Amazon looks good, I mean, they're executing. >> Raejeanne: They're fast. >> I mean, what's it like? Share some story, I mean, they're years ahead, what's it like working with Amazon? >> Well I think, I mean, they are fast. It's amazing how quickly they can move and innovate, how rapidly those innovations roll out to the market. I will be honest, there are times where we miss windows because we are slow, and they just look at us like, "Well we told you "this four weeks ago, here it is, right?" (laughing) >> Can't design a chip in four weeks. We don't have kubernetes, no containers for chips. >> I mean they are just, they have it down. So what we're trying to do is part of this transition from being a client company, to a Cloud and data center company, and IOT company, means everything we have to do is faster. So we have to design our chips more quickly, we have to put in more modularity for faster derivatives, and we have to move at Cloud speed, not classic Intel speed. >> Right, yeah. So what are some of the lessons that other companies can take from Intel, I mean it's a hardware company, or it was originally a hardware company, and now you've transitioned to being a Cloud company, and you're being pushed by Amazon to move faster and faster. So what are some of the lessons that you can share with other companies who are trying to start moving at Cloud speed? >> You know, I think, I love Jeff Bezos' approach, customer-obsessed. If you aren't understanding how the end customers, starting with Amazon's customers, but also then my customer, Amazon, how they're using and consuming technology, we can't really create good technology. I would say a lot of companies create a great thing and then try to go sell it at markets, >> Yep. >> Versus starting with the market, and creating the specific thing. The other thing we've learned, I mean, Intel is a very data driven company, both in our decision making, as well as our company growth, this is, and we talk about it from a developer envirogroup, but it's the same iterate fast. Fail quickly and move on. You don't need perfect. This is one of our learnings, right? Don't wait six months for perfect, move fast, get 70-80% of the way there, I've heard governments say they get 40-50 way percent of there, make decisions, because they have to move that quickly. For military or other exercises. So what we're trying to do is match that type of speed as well. >> It's a world of compute now, I mean, I was at Alibaba Conference, they had their Cloud coachings hearing it here, the same message: more compute. They're not saying I need more little chips, they're saying I want more horsepower. >> Raejeanne: Right. >> And you guys just announced the C5 instance, recently, a couple weeks. >> And the budget. >> What is that gonna do? I mean, it's fairly new. >> Raejeanne: Yes. >> What does that mean? Is that gonna be an IOT edge opportunity? Is it all workloads? That's gonna be like, a pretty big deal. What's your take on it? >> It is, their C instant line has always been for high performances growing workloads. We're seeing like, for HPC workloads, anywhere from two to four-and-a-half X the performance moving from C4 to C5, right? This is an instance that can handle the most demanding workloads from high performance compute to artificial Intelligence to others. So, you know, we have our latest and greatest Intel ZN scalable process in there, a very high performant one, that we customized specifically for their environment, but then they do all this amazing software work and efficiency work around it, to really unlock. I was really glad to see when they talked about those C5 instances launching, 25% on workload's price performance up to 50% price performance improvements on some others. So, I mean, once again, when you can take more compute and make it more cost effective, it's just a lot more things people can do in the industry, so we're very excited about that instance. >> What's the biggest thing in the past five years that jumped out at you in the massive change in the industry? Application, startups, business growth? What amazes you? >> Yeah, there's so much, I would kind of combine it under what the industry calls Digital Transformation. You know, when I look at it, one of the points that always sticks in my mind, is CEOs, 70% of them have digital transformation at the heart because the data suggests that by the end of 2018, the top 40% of the top 20, 40% of the top 20 industries are gonna be disrupted. So that to me, that amount of disruption happening, and the company's trying to disrupt themselves whether it's healthcare, retail, manufacturing, oil and glass, the use and pervasiveness of where technology and Cloud can fit has really kind of astonished me and I love, once again, I love that they're making what they do today better. But the new things that they're doing, I mean, in healthcare, right? It's just amazing. >> I mean, we used to use the word back in the day when I broke into the biz in the '80s, Data Processing Department. I mean, the Cloud is one big data processor. >> It is. It is a compute power. We call it the brain, right? If Cloud is now ubiquitous, right? It is, from public Cloud to private to Edge, and everything in between, it's that brain, right? >> John: It's the brain. >> That's enabling the compute, so we have to-- >> You people have always been on the inside of everything, so congratulations on your success, on the Cloud growth. General manager of the Cloud service provider and Vice President of Data Center Group, Raejeanne Skillern, here inside theCUBE with Intel, I'm Jeff Furrier with Justin Warren, back with more live coverage, here in Las Vegas, for Amazon web services 2017 re:Invent. More after this short break. (techno music)

>> Narrator: Live from Midtown Manhattan, it's theCUBE, covering BigData New York City 2017 Brought to you by SiliconANGLE Media and its ecosystem sponsors. >> Hey, welcome back everyone, live in New York, it's theCUBE coverage, day three of three days of wall-to-wall coverage of BigData at NYC, in conjunction with Strata Data right around the corner, separate event than ours, we've been covering. It's our eighth year. We're here expanding on our segment we just had with Matt from Deli EMC on, really on the front lines consultant, we've got Jason from BlueData, and Casey from BlueTalon, two separate companies but the blue in the name, team blue. And of course, Matt from Dell EMC, guys, welcome back to theCUBE and let's talk about the partnerships. I know you guys have a partnership, Dell EMC leads the front lines mostly with the customer base you guys come in with the secret sauce to help that solution which I want to get to in a minute, but the big theme here this week is partnerships. And before we get into the relationship that you guys have, I want you to talk about the changes in the ecosystem, because we're seeing a couple key things. Open source, one, and it's winning, continues to grow, but the Linux Foundation pointed out the open source that we cover that exponential growth is going to be in open-source software. You can see from 4 lines of code to billions in the next 10 years. So more onboarding, so clear development path. Ecosystems have work. Now they're coming into the enterprise with suppliers, whether it's consulting, it's front-end, or full stack developers coming together. How do you see ecosystems playing in both the supplier side and also the customer side? >> So we see from the supplier side, right, and from the customer side as well, and it kind of drives both of those conversations together is that you had the early days of I don't want vendor lock-in, right, I want to have a disparate virtual cornucopia of tools in the marketplace, and then they were, each individual shop was trying to develop those and implement those on their own. And what you're now seeing is that companies still want that diversity in the tools that they utilize, and that they work with, but they don't want that, the complication of having to deliver all those tools themselves, and so they're looking more for partners that can actually bring an ecosystem to the table where it's a loose coupling of events, but that one person actually has the forefront, has the customer's best interest in mind, and actually being able to drive through those pieces. And that's what we see from a partnership, why we're driving towards partnerships, 'cause we can be a point solution, we can solve a lot of pieces, but by bringing us as a part of an ecosystem and with a partner that can actually help deliver the customer and business value to the customer, that's where we're starting to see the traction and the movement and the wins for us as an organization. >> BlueData, you guys have had very big successes, big data as a service, docker containers, this is the programmer's nirvana. Infrastructure plus code, that's the DevOps ethos going mainstream. Your thoughts on partnering, 'cause you can't do it alone. >> Yeah, I mean, for us, speaking of DevOps, and we see our software platform provides a solution for bringing a DevOps approach to data science and big data analytics. And it's much more streamlined approached, an elastic and agile approach to big data analytics and data science, but to your point, we're partnered with Dell EMC because they bring together an entire solution that delivers an elastic platform for secure multi-tenant environments for data science teams and analytics teams for a variety of different open source tool sets. So there is a large ecosystem of open source tools out there from Hadoop to Spark to Kafka to a variety of different data science, machine learning and deep learning tool sets out there, and we provide through our platform the ability to dockerize all of those environments, make them available through self-service to the data science community so they can get up and running quickly and start building their models and running their algorithms. And for us, it's on any infrastructure. So, we work closely with Dell EMC to run it on Isilon and their infrastructure, Dell-powered servers, but also you can run it in a hybrid cloud architecture. So you could run it on Azure and now GCP, and AWS. >> So this is the agility piece for the developer. They get a lot of agility, they get their security. Dell EMC has all the infrastructure side, so you got to partner together. Matt, pull this together. The customer doesn't want, they want a single pane of glass, or however you want to look at it, they don't want to deal with the nuances. You guys got to bring it all together. They want it to work. Now the theme I hear at BigData New York is integration is everything, right, so, if it doesn't integrate, the plumbings not working. How important is it for the customer to have this smooth, seamless experience? >> It's critical for them to, they have to be able to believe that it's going to be a seamless experience, and these are just two partners in the ecosystem. When we talk to enterprise customers, they have other vendors. They have half a dozen or a dozen other vendors solving big data problems, right? The Hadoop analytic tools, on and on and on. And when they choose a partner like us, they want to see that we are bringing other partners to the table that are going to complement or enhance capabilities that they have, but they want to see two key things. And we need to see the same things as well when we look at our partnerships. We want to see APIs, we want to see open APIs that are well-documented so that we know these tools can play with each other, and two, these have to be organizations we can work with. At the end of the day, a customer does business with Dell EMC because they know we're going to stand behind whatever we put in front of them. >> John: They get a track record too, you're pretty solid. >> Yep, it is-- >> But I want to push on the ecosystem, not you guys, it's critical, but I mean one thing that I've seen over my 30 years in the enterprise is ecosystems, you see bullshit and you see real deal, right, so. A lot of customers are scared, now with all this FUD and new technology, it's hard to squint through what the BS is in an ecosystem. So how do you do ecosystems right in this new market? 'Cause like you said, it's not API, that's kind of technical, but philosophy-wise you can't do the barney deals, you got Pat Gelsinger standing up on stage at VMworld, basically flew down to stand in front of all the customers of VMworld's customers and said, we're not doing a barney deal. Now, he didn't say barney deals, that's our old term. He said, it's not an optical deal we're doing with VMware. We got your back. He didn't say that, but that's my interpretation, that's what he basically said. The CEO of AWS said that. That's a partner, you know what I'm saying? So, some deals are okay we got a deal on paper, what's the difference, how do you run an ecosystem, in your opinion? >> Yeah, it's not trivial. It's not an easy thing. It takes an executive, at that level, it takes a couple of executives coming together-- >> John: From the top, obviously. >> Committing, it's not just money, it's reputation, right? If you're at that level, it's about reputation which then trickles down to the company's reputation, and so within the ecosystem, we want to sort of crawl, walk, run. Let's do some projects-- >> So you're saying reputation in communities is the number one thing. >> I think so, people are not going to go, so you will always have the bleeding edge. Someone's going to go play with a tool, they're going to see if it works-- >> Wow, reputation's everything. >> Yeah. If it fails, they're going to tell, what is the saying, if something fails, if something bad happens you tell twelve people-- >> All right, so give them a compliment. What's BlueTalon do great for you guys? Explain their talent in the ecosystem. >> So BlueTalon's talent in the ecosystem, other than being just great people, we love Carey, is that they-- >> I'll get you to say something bad about him soon, but give him the compliment first. >> They have simplified the complexity of doing security, policy and role-based security for big data. So regardless of where your data lives, regardless of if it's Hadoop, Spark, Flink, Mongo, AWS, you define a policy once. And so if I am in front of the chief governance officer, my infrastructure doesn't have a value problem to them, but theirs does, right? The legal team, when we have to do proposals, this is what gets us through the legal and compliance for GDPR in this, it's that centralized control that is so critical to the capability we provide for big data. If you sprawl your data everywhere, and we know data sprawls everywhere-- >> So you can rely on them, these guys. >> Absolutely. >> All right, BlueData, give them a compliment, where do they fit? >> So they have solved the problem of deploying containers, big data environments, in any cloud. And the notion of ephemeral clusters for big data workloads is actually really, really hard to solve. We've seen a lot of organizations attempt to do this, we see frameworks out there, like Kupernetes, that people are trying to build on. These guys have fixed it. We have gone through the most rigorous security audits at the biggest banks in the world, and they have signed off because of the network segmentation and the data segmentation, it just works. >> I think I'm running a presidential debate, now you got to say something nice about him. No, I mean, Dell EMC we know what these guys do. But for you guys, I mean, how big is BlueTalon, company-wise? I mean, you guys are not small but you're not massive either. >> We're not small, but we're not massive, right. So, we're probably around 40 resources global, and so from our perspective, we're-- >> John: That's a great deal, working with a big gorilla in Dell EMC, they got a lot of market share, big muscle? >> Exactly, and so for us, like we talked about earlier, right, the big thing for us is ecosystem functions. We do what we do really well, right, we build software that does control unified access across multiple platforms as well as multiple distributions whether it be private cloud, on-prem, or public cloud, and for us, again, it's great that we have the software, it's great that we can do those things, but if we can't actually help customers use that software to deliver value, it's useless. >> Do you guys go to the market together, do you just hold hands in front of the customer, bundle products? >> No, we go to market together, so we actually, we work, a lot of our team in enablement is not enabling our customers, it is enabling Dell EMC on the use of our software and how to do that. So we actually work with Dell EMC to train and work-- >> So you're a tight partner. There's certification involved, close relationships, you're not mailing it in. >> And then we're also involved with the customer side as well, so it's not like we go, okay great, now it's sold, we throw up our hands and walk away. >> John: Well, they're counting on you that. >> They're counting on us for the specific pieces, but we're also working with Dell EMC so that we can get that breadth right in their reach, so that they can actually go confidently to their customers and actually understand where we fit and when we don't fit. Because we're not everything to everybody, right, and so they have to understand those pieces to be able to know when that works right and how the best practices are. And so again, we're 40 people, they're, I forget, there were 80,000 at one point? Maybe even more than that? But even in the services arm, there's several thousands of people in the-- >> What's the whole point of ecosystems you're getting at here? Point at the critical thing. You've got a big piece of the puzzle, it's not just they're bundling you in. You're an active part of that, and it's an integration world right, so he needs to rely on you to integrate with his systems. >> Yeah, we have to integrate with the other parts of the ecosystem too, so it really is a three-way integration on this perspective where they do what they do really well, we do what we do and they're complementary to each other, but without the services and the glue from Dell EMC-- >> So when you bring Dell EMC into the deals too? >> We do, so we bring Dell EMC into deals, and Dell EMC sells us through a reseller agreement with them so we actually help jointly either bring them to a deal we've already found, we'll bring services to them, or we'll actually go out and do joint development of customers. So we actually come out and help with the sales process and cycles to actually understand is there a fit or is there not a fit? So, it's not a one-size-fits-all, it's not just a, yes we got something on paper that we can sell you and we'll sell you every once in a while, it really is a way to develop an ecosystem to deliver value to the customer. >> All right, so let's talk about the customer mindset real quick. When you, are they, how far along on them, I really don't know much 'cause I'm really starting to probe in this area, how savvy are they to the partnership levels? I mean, you disclose it, you're transparent about it, but I mean, are customers getting that the partnering is very key? I mean, are they drilling, asking tough questions, are you kind of getting them educated one way, are they savvy about it? They may have been doing partners in house, but remember the enterprise had a generation of down-to-the-bone cutting, outsource everything, consolidation, and then you know, go back around 2010, the uplift on reinvestment hit, so we're kind of in this renaissance right now. So, thoughts? >> The partnership is actually the secret sauce that's part of our sales cycle. When we talk about big data outcomes and enabling self-service, customers assume oh, okay, you guys built some software, you've got some hardware, and then when we double-click into how we make this capable, we say oh, well we partner with BlueTalon and BlueData, and this other, and they go, wait a minute, that's not your software? No, no, we didn't build that. We have scoured the market and we've found partners that we work with and we trust, and all of a sudden you can see their shoulders relax and they realize that we're not just there to sell them more kit. We're actually there to help them solve their problems. And it is a game changer, because they deal with vendors every day. Software Vendor X, Software Vendor Y, Hardware Vendor Z, and so to have a company that they have good relationships with already bring more capabilities to them, the guard comes down and they say okay, let's talk about how we can make this work. >> All right, so let's get to the meat of the partnership, which I want to get to 'cause I think that's fundamental. Thanks for sharing perspective on the community piece. We're being on it, we've been doing, we're a community brand ourselves. We're not a close guard, we're not about restricting and censoring people at events, that's not what we're about. So you guys know that, so appreciate you commenting on the community there. The Elastic Data Platform you guys are talking about, it's a partnership deal. You provide an EPIC software, you guys providing some great security in there. What is it about, what's the benefit? So it's you're leading them to product, take a minute to explain the product and then the roles. >> Yeah, so the Elastic Data Platform is a capability, a set of capabilities that is meant to help our enterprise customers get to that next level of self-service. Data science as a service, and do that on any cloud with any tools in a security-controlled manner. That's what Elastic Data Platform is. And it's meant to plug in to the customer's existing investments and their existing tools and augment that, and through our services arm, we tie these technologies together using their open APIs, that's why that's so critical for us, and we bring that value back to our customers. >> And you guys are providing the EPIC software? What is EPIC software? I mean, I love epic software, that's an epic, I hope it's not an epic fail, so an epic name, but epic-- >> Elastic Private Instant Clusters, it's actually an acronym for what it stands for, that is what it provides for our customers. >> John: So you're saying that EPIC stands for-- >> Elastic Private Instant Clusters. So it can run in a private cloud environment on your on-prem infrastructure, but as I said before, it can run in a hybrid architecture on the public cloud as well. But yeah, I mean, we're working closely with the Dell EMC team, they're an investor, we work closely with their services organization, with their server organization, the storage organization, but they really are the glue that brings it all together. From services to software to hardware, and provides the complete solution to the customers. So, as I think Matt-- >> John: Multi-tenancy is a huge deal, multi-tenancy's a huge deal. >> Absolutely, yeah. Also the ability to have logical isolation between each of those different tenants for different data science teams, different analyst teams, you know, that's particularly at large financial services organizations like Barclays, you spoke yesterday, Matt alluded to earlier. They talked about the need to support a variety of different business units who each have their own unique use cases, whether it's batch processing with Hadoop or real-time streaming and fast data with Spark, Kafka, and NoSQL Database, or whether it's deep learning, machine learning. Each of those different tenants has different needs, and so you can spin up containers using our solution for each of those tenants. >> John: Yeah, that's been a big theme this week too, and so many little things, this one relates to this one, is the elastic nature of how people want to manage the provisioning of more resource. So, here's what we see. They're using collective intelligence, data, hey, they're data science guys, they figured it out! Whatever the usage is, they can do a virtual layer if you will, and then based upon the use they can then double down. So let the users drive this real collaborative, that seems to the a big theme, so this helps there. The other theme has been the centralized, this is the GDPR hanging over one's head, but the, even though that's more of threat and it's a gun to the head, it's the hammer or the guillotine, however you look at it, there's more of enablement around centralization, so it's not just the threat of that, it's other things that are benefiting. >> Right, it's more than just the threat of the GDPR and being compliant with those perspectives, right? The other big portion of this is, if you want to do, you do want to provide self-service. So the key to self-service is that's great, I can create an environment, but if it takes me a long time to get data to that environment to actually be able to utilize it or protect the data that's in that environment by having to rewrite policies from a different place, then you don't get the benefit right, the acceleration of the self-service. So having centralized policies of distributed enforcements gives you that elastic ability, right? Again, we can deploy the central engines again on-premises, but you can protect data that's in the cloud or protect data that's in a private cloud, so as companies move data for their different workloads, we can put the same protections with them and it goes immediately with them, so you don't have to manage it in multiple places. It's not like, oh, did I remember to put that rule over in this system? Oh, no I didn't, oh and guess what just happened to me? You know, I did get smacked with a big fine because I didn't, I wasn't compliant. So compliance-- >> How about Audit, too? I mean, are you checking the Audit side too? >> Yeah, so Audit's a great portion of that, and we do Audit for a couple of reasons. One is to make sure that you are compliant, but two is to make sure you actually have the right policies defined. Are people accessing the data the way you expect them to access that data? So that's another big portion of us and what we do from an audit perspective is that data usage lineage, and we actually tell you what the customer, what the user was trying to do. So if a customer's trying to access the data you see a large group trying to access a certain set of data but they're being denied access to it, now you can look and say, is that truly correct? Do I want them not being-- >> John: Well, Equifax, that thing was being phished out over months and months and months. Not just four, that thing has been phished over 10 times. In fact, state-sponsored actors were franchises of that organization. So, they were in the VPN, so it's not even, so you, so this is where the issues, okay, let's just say that happened again. You would have flagged it. >> We flag it. >> You would have seen the pattern access and said, okay, a lot of people cleaning us out. >> Yep, while it's happening. Right, so you get to see that usage, the lineage of the usage of the data, right, so you get to see that pattern as well. Not only who's trying to access, all right, 'cause protecting the perimeter is, as we all know, is no longer viable. So we actually get to watch the usage of the, the usage pattern so you can detect an anomaly in that type of system, as well as you can quickly change policies to shut down that gap, and then watch to see what happens, see who's continuing to try to hit it. >> Well, it's been a great conversation. Love that you guys are on and great to see the Elastic Data Platform come together through the partnerships, again. As you know, we're really passionate about highlighting and understanding more about the community dynamic as it becomes more than just socialization, it's a business model to the enterprise, as it was in open source. We'll be covering that. So I'd like to go around the panel here just to end this segment. Share something that someone might not know what's going on in industry that you want to point out, that's an observation, an anecdote that hasn't been covered, hasn't been serviced, it could be a haymaker, it could be something anecdotal, personal observation. In the big data world, BigData NYC this week or beyond, what should people know about that may or may not be covered out there that's happened that they should know about? >> Well, I think this one's, people pretty much should know about this one, right, but four or five years ago Hadoop was going to replace everything in the world. And two, three years ago the RDBMS's groups were like, Hadoop will never make it out of the science fair project. Right, we're in a world now where that's no longer true. It's somewhere in between. Hadoop is going to remain, and they're going to be continued, and the RDBMS is also going to continue. So you need to look at ecosystems that can actually allow you to cover both sides of that coin, which we're talking about here, is those types of tools are going to continue together forward. So you have to look at your entire ecosystem and move away from siloed functions to how you actually look at an entire data protection in data usage on environment. >> Matt? >> I would say that the technology adoption in the enterprise is outstripping the organization's ability to keep up with it. So as we deploy new technologies, tools, and techniques to do all sorts of really amazing things, we see the organization lagging in its ability to keep up. And so policies and procedures, operating models, whatever you want to call that, put it under the data governance umbrella, I suppose. If those don't keep up, you're going to end up with just an organization that is mismatched with the technology that is put into place, and ultimately you can end up in a massive compliance problem. Now, that's worst case. But even in best case, you're going to have a really inefficient use of your resources. My favorite question to ask organizations, so let's say you could put a timer on one of the data science sandboxes. So what happens when the timer goes off and the data science is not done? And you've got a line of people waiting for resources, what do you do? What is, how does the organization respond to that? It's a really simple question, but the answer's going to be very nuanced. So if that's the policy, that's the operating model stuff that we're talking about that we've got to think about when we enable self-service and self-security, those things have to come hand-in-hand. >> That's the operational thinking that needs to come through. >> Okay, Jason? >> Yeah, I think even for us, I mean this has been happening for some time now, but I think there still is this notion that the traditional way to deploy Hadoop and other big data workloads on prem is bare metal, and that's the way it's always been done. Or, you can run it in the cloud. But I think what we're seeing now, what we've seen evolve over the past couple of years is you can run your on-prem workloads using docker containers in a containerized environment. You can have this cloud-like experience on-prem but you can also provide the ability to be able to move those workloads, whether they're on-prem or in the cloud. So you can have this hybrid approach and multi-cloud approach. So I think that's fundamentally changing, it's a new dynamic, a new paradigm for big data, either on-prem or in the cloud. It doesn't have to be on bare metal anymore. And we get the same, we've been able to get-- >> It's on-prem, people want on-prem, that's where the action is, and cloud no doubt, but right now it's the transition. Hybrid cloud's definitely going to be there. I guess my observation is the tool shed problem. You know, I said earlier all day, you don't want to have a tool shed full of tools you don't use anymore or buy a hammer that wants to turn into a lawn mower 'cause the vendor changed, pivoted. You got to be careful what you buy, the tools, so don't think like a tool. Think like a platform. And I think having a platform mentality, understanding the system, or operating environment as you were getting to, I think really is a fundamental exercise that most decision makers think about. 'Cause again, your relationship with the Elastic Data Platform proves that this operating environment's evolving, it's not about the tool. The tool has to be enabled, and if the tool is enabled into the platform it should have a data model that falls into place, no one should have to think about it, you get the compliance, you get the docker container, so don't buy too many tools. If you do, make sure they're clean and in a clean tool shed! You got a lawnmower, I guess that's the platform. Bad analogy, but you know, I think tools has been the rage in this market, and now I think platforming it is something that we're seeing more of. So guys, thanks so much, appreciate it. Elastic Data Platform by Dell EMC, with the EPIC Platform from BlueData, and BlueTalon providing the data governance and compliance, great stuff, I'm certain the GDPR, BlueTalon, you guys got a bright future, congratulations. All right, more CUBE coverage after this short break, live from New York, it's theCUBE. (rippling music)