Patrick Osborne, HPE | VeeamON 2022
(digital pulsing music) >> We're back at VeeamON 2022. My name is Dave Vellante. I'm here with my co-host David Nicholson. I've got another mass boy coming on. Patrick Osborne is the vice president of the storage business unit at HPE. Good to see you again, my friend. It's been a long time. >> It's been way too long, thank you very much for having me. >> I can't even remember the last time we saw each other. It might have been in our studios in the East Coast. Well, it's good to be here with you. Lots have been going on, of course, we've been following from afar, but give us the update, what's new with HPE? We've done some stuff on GreenLake, we've covered that pretty extensively and looks like you got some momentum there. >> Quite a bit of momentum, both on the technology front and certainly the customer acquisition front. The message is certainly resonating with our customers. GreenLake is, that's the transformation that's fueling the future of Hewlett Packard Enterprise. So the momentum is great on the technology side. We're at well over 50 services that we're providing on the GreenLake platform. Everything from solutions and workloads to compute, networking and storage. So it's been really fantastic to see the platform and being able to really delight the customers and then the momentum on the sales and the customer acquisition side, the customers are voting with their dollars, so they're very happy with the platform, certainly from an operational perspective and a financial consumption perspective and so our target goal, which we've said a bunch of times is we want to be the hyperscaler on on-prem. We want to provide that customer experience to the folks that are investing in the platform. It's going really well. >> I'll ask you a question, as a former analyst, it could be obnoxious and so forth, so I'll be obnoxious for a minute. I wrote a piece in 2010 called At Your Storage Service, saying the future of storage and infrastructure as a service, blah, blah, blah. Now, of course, you don't want to over-rotate when there's no market, there was no market for GreenLake in 2010. Do you feel like your timing was right on, a little bit late, little bit early? Looking back now, how do you feel about that? >> Well, it's funny you say that. On the timing side, we've seen iterations of this stops and start forever. >> That's true. Financial gimmicks. >> I started my career at Sun Microsystems. We talked about the big freaking Web-tone switch and a lot of the network is the computer. You saw storage networks, you've seen a lot, a ton of iterations in this category, and so, I think the timing's right right now. Obviously, the folks in the hyperscaler class have proved out that this is something that's working. I think for us, the big thing that's really resonating with the customers is they want the operational model and they want the consumption model that they're getting from that as a service experience, but they still are going to run a number of their workloads on-prem and that's the best place to do it for them economically and we've proved that out. So I think the time is here to have that bifurcated experience from operational and financial perspective and in the past, the technology wasn't there and the ability to deliver that for the customers in a manner that was useful wasn't there. So I think the timing's perfect right now to provide them. >> As you know, theCUBE has had a presence at HPE Discover. Previous, even HP Discover and same with Veeam. But we got a long history with HP/HPE. When Hewlett Packard split into two companies, we made the observation, Wow, this opens up a whole new ecosystem opportunity for HPE generally, in storage business specifically, especially in data protection and backup, and the Veeam relationship, the ink wasn't dry and all of a sudden you guys were partnering, throwing joint activities, and so talk about how that relationship has evolved. >> From my perspective, we've always been a big partnering company, both on the route to market side, so our distributors and partners, and we work with them in big channel business. And then on the software partnership side, that's always evolving and growing. We're a very open ecosystem and we like to provide choice for our customers and I think, at the end of the day, we've got a lot of things that we work on jointly, so we have a great value prop. First phase of that relationship was partnering, we've got a full boat of product integrations that we do for customers. The second was a lot of special sauce that we do for our customers for co-integration and co-development. We had a huge session today with Rick Vanover and Frederico on our team here to talk about ransomware. We have big customers suffering from this plague right now and we've done a lot together on the engineering side to provide a very, very well-engineered, well thought out process to help avoid some of these things. And so that wave, too, of how do we do a ton of co-innovation together to really delight our customers and help them run their businesses, and I think the evolution of where we're going now, we have a lot of things that are very similar, strategically, in terms of, we all talk about data services and outcomes for our customers. So at the end of the day, when we think about GreenLake, like our virtual machine backup as a service or disaster recovery, it's all about what workloads are you running, what are the most important ones, where do you need help protecting that data? And essentially, how can we provide that outcome to you and you pay it as an outcome. And so we have a lot of things that we're working on together in that space. >> Let's take a little bit of a closer look at that. First of all, I'm from California, so I'm having a really hard time understanding what either of you were saying. Your accents are so thick. >> We could talk in Boston. >> Your accents are so thick. (Dave laughing) I could barely, but I know I heard you say something about Veaam at one point. Take a closer look at that. What does that look like from a ransomware perspective in terms of this concept of air gaping or immutable, immutable volumes and just as an aside, it seems like Veeam is a perfect partnership for you since customers obviously are going to be in hybrid mode for a long time and Veeam overlays that nicely. But what does it look like specifically? Immutable, air gap, some of the things we've been hearing a lot about. >> I'm exec sponsor for a number of big HPE customers and I'll give you an example. One of our customers, they have their own cloud service for time management and essentially they're exploited and they're not able to provide their service. It has huge ripple effect, if you think about, on inability to do their service and then how that affects their customers and their customers' employees and all that. It's a disaster, no pun intended. And the thing is, we learn from that and we can put together a really good architectures and best practices. So we're talking today about 3-2-1-1, so having three copies of your data, two different types of media, having an offline copy, an offsite copy and an offline copy. And now we're thinking about all the things you need to do to mitigate against all the different ways that people are going to exploit you. We've seen it all. You have keys that are erased, primary storage that is compromised and encrypted, people that come in and delete your backup catalog, they delete your backups, they delete your snapshots. So they get it down to essentially, "I'm either going to have one set of data, it's encrypted, I'm going to make you pay for it," and 40 percent of the time they pay and they get the data back, 60 percent of the time they pay and they get maybe some of the data back. But for the most part, you're not getting your data back. The best thing that we can do for our customers that come with a very prescriptive set of T-shirt configuration sizes, standardization, best practices on how they can take this entire ecosystem together and make it really easy for the customers to implement. But I wouldn't say, it's never bulletproof, but essentially, do as much as you can to avoid having to pay that ransomware. >> So 3-2-1-1, three copies, meaning local. >> Patrick: Yeah. >> So you can do fast recovery if you need to. Two different types of media, so tape fits in here? Not necessarily flashing and spinning disks. Could it be tape? >> A lot of times we have customers that have almost four different types. So they are running their production on flash. We have Alletras with HPE networking and servers running specific workloads, high performance. We have secondary storage on-prem for fast recovery and then we have some form of offsite and offline. Offsite could be object storage in the cloud and then offline would be an actual tape backup. The tape is out of the tape library in a vault so no one can actually access it through the network and so it's a physical copy that's offline. So you always have something to restore. >> Patrick, where's the momentum today, specifically, we're at VeeamON, but with regard to the Veeam partnership, is it security and ransomware, which is a new thing for this world. The last two years, it's really come to the top. Is it cloud migration? Is it data services and data management? Where's the momentum, all of the above, but maybe you could help us parse that. >> What we're seeing here at Hewlett Packard Enterprise, especially through GreenLake, is just an overall focus on data services. So what we're doing is we've got great platforms, we always had. HPE is known as an engineering company. We have fantastic products and solutions that customers love. What we're doing right now is taking, essentially, a lot of the beauty of those products and elevating them into an operational experience in the cloud, so you have a set of platforms that you want to run, you have machine critical platform, business critical, secondary storage, archival, data analytics and I want to be able to manage those from the cloud. So fleet management, HCI management, protocol management, block service, what have you, and then I want a set of abstracted data services that are on top of it and that's essentially things like disaster recovery, backup, data immutability, data vision, understanding what kind of data you have, and so we'll be able to provide those services that are essentially abstracted from the platforms themselves that run across multiple types of platforms. We can charge them on outcome based. They're based on consumption, so you think about something like DR, you have a small set of VMs that you want to protect with a very tight RPO, you can pay for those 100 VMs that are the most important that you have. So for us driving that operational experience and then the cloud data service experience into GreenLake gives customers a really, gives them a cloud experience. >> So have you heard the term super cloud? >> Patrick: Yeah. (chuckles) >> Have you? >> Patrick: Absolutely. >> It's term that we kind of coined, but I want to ask you about it specifically, in terms of how it fits into your strategy. So the idea is, and you kind of just described it, I think, whether your data is on-prem, it's in the cloud, multiple clouds, we'll talk about the edge later, but you're hiding the underlying complexities of the cloud's APIs and primitives, you're taking care of that for your customers, irrespective of physical location. It's the common experience across all those platforms. Is that a reasonable vision, maybe, even from a technical standpoint, is it part of HPE strategy and what does it take to actually do that, 'cause it sounds nice, but it's probably pretty intense? >> So the proof's in the pudding for us. We have a number of platforms that are providing, whether it's compute or networking or storage, running those workloads that they plum up into the cloud, they have an operational experience in the cloud and now they have data services that are running in the cloud for us in GreenLake. So it's a reality. We have a number of platforms that support that. We're going to have a set of big announcements coming up at HPE Discover. So we led with Alletra and we have a block service, we have VM backup as a service and DR On top of that. That's something that we're providing today. GreenLake has over, I think, it's actually over 60 services right now that we're providing in the GreenLake platform itself. Everything from security, single sign on, customer IDs, everything, so it's real. We have the proof point for it. >> So, GreenLake is essentially, I've said it, it's the HPE cloud. Is that a fair statement? >> A hundred percent. >> You're redefining cloud. And one of the hallmarks of cloud is ecosystem. Roughly, and I want to talk more about you got to grow that ecosystem to be successful in cloud, no question about it. And HPE's got the chops to do that. What percent of those services are HPE versus ecosystem partners and how do you see that evolving over time? >> We have a good number of services that are based on HPE, our tried and true intellectual property. >> You got good tech. >> Absolutely, so a number of that. And then we have partners in GreenLake today. We have a pretty big ecosystem and it's evolving, too. So we have customers and partners that are focused, our customers want our focus on data services. We have a number of opportunities and partnerships around data analytics. As you know, that's a really dynamic space. A lot of folks providing support on open source, analytics and that's a fast moving ecosystem, so we want to support that. We've seen a lot of interest in security. Being able to bring in security companies that are focused on data security. Data analytics to understand what's in your data from a customer perspective, how to secure that. So we have a pretty big ecosystem there. Just like our path at HPE, we've always had a really strong partnership with tons of software companies and we're going to continue to do that with GreenLake. >> You guys have been partner-friendly, I'll give you that. I'm going to ask Antonio this at Discover in a couple of weeks, but I want to ask you, when you think about, again, to go back to AWS as the prototypical cloud, you look at a Snowflake and a Redshift. The Redshift guys probably hate Snowflake, but the EC2 guys love them, sell a lot of compute. Now you as a business unit manager, do you ever see the day where you're side by side with one of your competitors? I'm guessing Antonio would say absolutely. Culturally, how does that play inside of HPE? I'm testing your partner-friendliness. How would you- >> Who will you- >> How do you think about that? >> At the end of the day, for us, the opportunity for us is to delight our customers. So we've always talked about customer choice and how to provide that best outcome. I think the big thing for us is that, from a cost perspective, we've seen a lot of customers coming back to HPE repatriation, from a repatriation perspective for a certain class of workloads. From my perspective, we're providing the best infrastructure and the best operational services at the best price at scale for these costumers. >> Really? It definitely, culturally, HPE has to, I think you would agree, it has to open up. You might not, you're going to go compete, based on the merit- >> Absolutely. >> of your product and technology. The repatriation thing is interesting. 'Cause I've always been a repatriation skeptic. Are you actually starting to see that in a meaningful way? Do you think you'll see it in the macro numbers? I mean, cloud doesn't seem to be slowing down, the public cloud growth, I mean, the 35, 40 percent a year. >> We're seeing it in our numbers. We're seeing it in the new logo and existing customer acquisition within GreenLake. So it's real for us. >> And they're telling you? Pure cost? >> Cost. >> So it's that's simple. >> Cost. >> So, they get the cloud bill, you do, too. I'd get the email from my CFO, "Why the cloud bill so high this month?" Part of that is it's consumption-based and it's not predictable. >> And also, too, one of the things that you said around unlocking a lot of the customer's ability from a resourcing perspective, so if we can take care of all the stuff underneath, the under cloud for the customer, the platform, so the stores, the serving, the networking, the automation, the provisioning, the health. As you guys know, we have hundreds of thousands of customers on the Aruba platform. We've got hundreds of thousands of customers calling home through InfoSight. So we can provide a very rich set of analytics, automated environment, automated health checking, and a very good experience that's going to help them move away from managing boxes to doing operational services with GreenLake. >> We talk about repatriation often. There was a time when I think a lot of us would've agreed that no one who was born in the cloud will ever do anything other than grow in the cloud. Are you seeing organizations that were born in the cloud realizing, "Hey, we know what our 80 percent steady state is and we've modeled this. Why rent it when we can own it? Or why rent it here when we can have it as operational cost there?" Are you seeing those? >> We're seeing some of that. We're certainly seeing folks that have a big part of their native or their digital business. It's a cost factor and so I think, one of the other areas, too, that we're seeing is there's a big transformation going on for our partners as well, too, on the sell-through side. So you're starting to see more niche SaaS offerings. You're starting to see more vertically focused offerings from our service provider partners or MSPs. So it's not just in either-or type of situation. You're starting to see now some really, really specific things going on in either verticals, customer segmentation, specific SaaS or data services and for us, it's a really good ecosystem, because we work with our SP partners, our MSP partners, they use our tech, they use our services, they provide services to our joint customers. For example, I know you guys have talked to iland here in the past. It's a great example for us for customers that are looking for DR as a service, backup as a service hosting, so it's a nice triangle for us to be able to please those customers. >> They're coming on to tomorrow. They're on 11/11. I think you're right on. The one, I think, obvious place where this repatriation could happen, it's the Sarah Wong and Martin Casano scenario where a SaaS companies cost a good sold become dominated by cloud costs. And they say, "Okay, well, maybe, I'm not going to build my own data centers. That's probably not going to happen, but I can go to Equinix and do a colo and I'm going to save a ton of dough, managing my own infrastructure with automation or outsourcing it." So Patrick, got to go. I could talk with you forever. Thank you so much for coming back in theCUBE. >> Always a pleasure. >> Go, Celts. How you feeling about the, we always talk sports here in VeeamON. How are you feeling about the Celts today? >> My original call today was Celtics in six, but we'll see what happens. >> Stephen, you like Celtics? Celtics six. >> Stephen: Celtics six. >> Even though tonight, they got a little- >> Stephen: Still believe, you got to believe. >> All right, I believe. >> It'd be better than the Miami's Mickey Mouse run there, in the bubble, a lot of astronauts attached to that. (Dave laughing) >> I love it. You got to believe here on theCUBE. All right, keep it right- >> I don't care. >> Keep it right there. You don't care, 'cause you're not from a sports town. Where are you in California? >> We have no sports. >> All right, keep it right there. This is theCUBE's coverage of VeeamON 2022. Dave Vellante for Dave Nicholson. We'll be right back. (digital music)
SUMMARY :
Good to see you again, my long, thank you very much and looks like you got and certainly the customer Now, of course, you don't want On the timing side, we've That's true. and the ability to deliver and all of a sudden you provide that outcome to you what either of you were saying. Immutable, air gap, some of the things and 40 percent of the time they pay So 3-2-1-1, three So you can do fast and then we have some form Where's the momentum, all of the above, that are the most important that you have. So the idea is, and you kind that are running in the it, it's the HPE cloud. And HPE's got the chops to do that. We have a good number of services to do that with GreenLake. but the EC2 guys love them, and how to provide that best outcome. go compete, based on the merit- it in the macro numbers? We're seeing it in the "Why the cloud bill so high this month?" a lot of the customer's than grow in the cloud. one of the other areas, and I'm going to save a ton of dough, about the Celts today? we'll see what happens. Stephen, you like you got to believe. in the bubble, a lot of astronauts You got to Where are you in California? coverage of VeeamON 2022.
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Patrick Osborne, HPE | HPE Discover 2020
>> From around the globe, it's theCUBE. Covering HPE Discover Virtual Experience. Brought to you by HPE. >> Welcome back, this is theCUBE's coverage of HPE Discover the Virtual Experience. I'm your host Stu Miniman. And we are now excited to be able to go beyond the hype of hyper convergence. Happy to welcome back to the program one of our regulars, even though he has a new title, Patrick Osborne is the vice president and general manager for Hewlett Packard Enterprise Hyperconverged Infrastructure, or HPE HCI as we could abbreviate. Patrick, good to see you. Thanks for much for coming back on theCUBE. >> Absolutely Stu, thanks for having me. It's always a pleasure to be on theCUBE. >> All right. So, you know, HCI, obviously has had a dramatic impact on the storage industry, you know, HPE has, you know, acquisitions like SimpliVity, Nimble has a play there, you've got partnerships with some solutions including with GreenLake. Why don't you give us just kind of the update, you've been with HPE for quite a while, what really, you know, excited you about taking this job and then we'll begin on the latest in the portfolio. >> Well, I think, so what's exciting about this market is it's a growth market. HCI is certainly a great solution for a whole swath of customer segments. So we thought, you know, about these HCI solutions from everyone, from our largest enterprise customers all the way down to our smallest SMB customers, and it really fits the bill not only for what you think about a standard HCI, where you're collapsing workloads and you're collapsing infrastructure, but also I think one of the interesting things that we've been able to deliver, especially with products like the HCI is around delivering dHCI experience for three tiers of architecture. And, you know, I think that's really exciting for customers that you know, certainly are moving more towards generalists, away from specialists and, you know, you're going to get really get that HCI experience in addition to a lot of other things we bring to the table here at HPE, that you know, we've talked about before, especially around AI ops and InfoSight and the ability to do a ton of things around predictive analytics. So it's an exciting space and it serves almost our entire customer base. >> Excellent. Now your group you did some announcements, a little bit ahead of Discover, why don't you give us the latest on the news and lay out how the portfolio fits. >> Yeah, so back in May we made some significant announcements on, in the HCI portfolio. So both on HCI SimpliVity as well as our Nimble dHCI offerings. One of the things we brought to market was around VDI specifically and we launched a new platform called the SimpliVity 325 and based on some new technology with our partner AMD are able to, you know, significantly lower the cost and increase the performance for the number of remote users that were, you know, that we're able to support with the platform and also bring together a solution you know, so, you know, what you also partner with folks like Citrix and CTERA and a whole a number of folks so we can have a full vertically oriented solution stack for customers that are doing, you know, they're significantly expanding their footprint around remote workers. And, you know, at the end of the day, it's going to cut in half, you can say 50% savings on your, you know per remote worker for desktop. So some significant savings there, and we've seen a huge amount of uptick for that platform in the last two months, even since we announced it. And then secondly, on the dHCI side, we made a number of announcements around simplicity, adding that a platform to our GreenLake consumption model, which is really cool, and then adding a whole set of new building blocks on the compute side based on AMD technology that allows, you know, folks to apply different types of compute per workload for our dHCI solution. So we made a pretty, pretty big announcement back in May around our portfolio for HCI solutions and the customers are definitely impacted super positively for both announcements. >> Yeah, it's funny. I remember a few years back, everybody kind of rolled their eyes a little bit. It was like, Oh, you know, VDI talked about it to death. And of course with the global pandemic, now of course remote work so critically important, I've talked to a number of CIOs that have had HCI solutions and it's like, Hey, I need to dramatically increase my services, I need to be able to scale things up and if I didn't have these solutions, I wouldn't be able to react as fast as I need. You said you you've seen an uptick, any particularly anecdotes or, you know, customer stories as to how they've been able to react fast in today's climate. >> Yeah, so especially for knowledge workers that are working remote, I mean, I can tell you that, almost 98 or 99% of my staff and the folks at HPE are working remotely and they're doing a fantastic job. So, you know, when we're able to service, you know, very small customers that are just, you know, embarking on their journey for remote workers to some of the largest corporations out there that our partners and customers of HPE, we've been able to, you know, produce a, you know, a really good outcome for them in addition to, you know, working with our partners, our reseller partners, to put this is another solution building block in their bag of tricks for their customers. >> All right. The other thing, what I want to talk a bit about is, you know, HCI is a managed service, so GreenLake, I've talked to some of your team, it has about a thousand customers HCI, so you know, one of the main options that they're offering there. Why don't you bring us inside a little bit as to, you know, why customers are choosing choosing GreenLake and you know, what that means for your product set? >> So this, from a strategic perspective, HPE, we've stated this publicly is that we want to offer all of our products and solutions as a service from a consumption perspective over the next couple of years. And so, you know, one of those key things that we want to offer from a workload perspective is certainly HCI as a service, so VMs as a service and as well as, you know, higher level type of applications, like VDI as a service. And so one of the announcements that we made was including both of our portfolios, HCI and dHCI in GreenLake so you can, essentially as a customer, you can start off very small and you are paying for the solution in metered increments, and we have lots of flexibility, you can do it at the workload level, you can do it at the CPU consumption level, you can do it at storage consumption level and so that gives a lot of flexibility and that's great for our larger customers that want to move from a CAPEX to an OPEX model. And, but it also really helps a lot of our small and medium sized customers who are, you know, in this environment, they are, you know, one of the top things in their mind is maintaining liquidity and so they can move that to an OPEX model and we actually have some really great offers that we announced with HPE financial services in conjunction with GreenLake on making this a very flexible, very cost effective manner to consume infrastructure and provide solutions for their customers and their end users. >> Excellent. You mentioned before a little bit about AI ops, give us a little bit as to how you see the, really the next generation of HCI taking advantage of, you know, automation intelligence and the like. >> Yes, so you know, as we've a talk on theCUBE before, one of the, I think one of the key solutions that we have and experiences that we bring to our customers in addition to the consumption level is this ability to do AI ops, global learning, predictive analytics for our workloads, for our customers, and essentially really really cut down on the costs in people that it takes to maintain these solutions and then you can, you know, essentially use the global learning and global aspect of, you know, a giant fleet in our entire install base and that gets applied to HCI. So SimpliVity HCI has been plugged into info site for over about a year now. Nimble obviously, Nimble dHCI, it's a core from the product offering and it's the best offering in the market for AI ops. And so our ability to do these things and provide predictive analytics, memory pressure, black listing, and white listing, the install base for problems, being able to reach out to customers before issues happen, noisy neighbors, VM consumption, storage consumption, all these things, you know, really cut down and provide a really awesome support automation experience for customers and essentially have a seamless experience for managing all of our systems. And when you think about HCI 2.O being able to do that, not only on a compressed infrastructure like HCI, but being able to do it on dHCI, which is desegregated hyperconverged so you can scale storage and networking and compute separately and you provide that same HCI experience from a management perspective and the AI ops around it is a game changer for, you know, some of the most, you know, business and mission critical applications that our customers are running. >> Alright. Well, one of the big themes that we're hearing across HPE Discover this year is about it's solutions. Traditionally I think of HCI really as helping collapse and simplify the data center, really that cloud operating model almost in the data center, where do these things connect? How does the edge fit in to this whole discussion? >> Yeah, so one of the beauties of HCI and specifically SimpliVity is our ability to be hyper efficient not only in the just the storage of the data. So, you know, from day one, everything is de-duped, everything is compressed and that's across both your on prem copies, as well as your DR copies, as well as your backup copies. And one of the things that we're seeing is that, sure HCI is great to collapse workloads in the data center and, but what we're seeing now is the ability to go serve as workloads that are running outside of the data center and when we talk about edge, we have some fantastic assets and a lot of customers, you know, running our edge compute solutions, our edge networking solution, specifically wireless and Aruba and what we're able to do is we're bringing those services, so compute, networking, and storage closer to the end user, but outside the data center and so there are some challenges to that like, so how do you federate the management of hundreds, if not thousands of clusters of these workloads running that could be anywhere from, you can think about a small, like a micro data center to a closet to even just, you know, small form factor that could be in a half of a rack and being able to manage those effectively but then also be able to pull the workloads and the data back. So being able to do edge, to core to cloud from a data mobility perspective. It's something that we provide and our customers are certainly deploying our solutions because of that. So a lot of stuff going on in the edge and I think one of the other things too that we see is people are running virtualized workloads, so VMs, and then also starting to incorporate containers. So microservices for, you know, industry specific things like vision and video and, you know, a whole bunch of things that happen around AI and ML at the edge. So it's very exciting place. >> Yeah. I'm glad you brought that up. You know, obviously one of the things that we're hearing a lot of interest from the community when it comes to virtualization is, you know, what is happening with that, really application modernization and containerization a big piece of that, of course, VMware with vSphere 7 are really helping to bring Kubernetes together to the virtualization environment. How do you see all of these playing together? You know, being a bare mental virtualization, containers, you know, edge, core, cloud, it's a complicated environment and, you know, the goal of HCI was always to help simplify this but we know IT is a bit messy and additive. >> Yeah, I think at the end of the day, you know, there are some basic services that customers want to run at the end of the day. They want to be able to deploy a workload on infrastructure that can be managed remotely, that could be managed at scale that provides, resiliency, it provides performance and it provides data mobility and HCI provides all of those capabilities whether it's, you know, through the HPE SimpliVity portfolio or Nimble dHCI and so you have a number of different building blocks that you can build. But on top of that is a set of data services in cloud consumption like experience that allows you to place those workloads on the infrastructure that you need and where you need it. And so if it's running at the edge, this commingling of VMs and containers, you know, we have a pretty unique platform out there, especially for things like AI and ML workloads in our HPE container platform and so you can run that for example, on something like HPE SimpliVity or dHCI, whether that's in the data center or whether you're running that on the edge and being able to service those customers, that's not an all or nothing proposition. At this point, you know, a number of our customers are running workloads that are virtualized and that are side by side to provide essentially good to customers, their customers at the end of the day. >> Excellent. Patrick, I'll give you the final word, takeaways if you want, that your customers want to have from HPE Discovery's week. >> Yeah, HPE Discover Virtual Experience has been great and you know, I think everyone participating in this, you know, we'd love to provide you as (mumble) as possible. There are a number of announcements around HCI, both our HCI platform was SimpliVity, to dHCI, we made some really great announcements recently around our primary storage and then we're going to continue at HPE Discover around some of our cloud data services. So when you think about someone who's going to provide, you know, you're going to partner with, from a costumer perspective on your most valuable workloads, whether it's workloads that exist today, or workloads that are fuel your digital transformation, HPE really is a partner that's providing, you know the infrastructure, the workloads and the cloud like experience both from a management perspective as well as from a consumption perspective that's going to service as these workloads from edge to core to cloud. So we're pretty excited about HPE discover now. >> Excellent. Thanks so much, Patrick and we'll be right back with lots more coverage from HPE Discover, I'm Stu Miniman and thank you as always for watching theCUBE.
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Brought to you by HPE. of HPE Discover the Virtual Experience. It's always a pleasure to be on theCUBE. on the storage industry, you know, to the table here at HPE, that you know, and lay out how the portfolio fits. a solution you know, It was like, Oh, you know, we've been able to, you know, produce a, and you know, what that and as well as, you know, higher as to how you see the, Yes, so you know, as we've and simplify the data center, like vision and video and, you know, and, you know, the goal of HCI was always and so you can run that for example, Patrick, I'll give you the final word, and you know, I think everyone and thank you as always
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Patrick Osborne, HPE | CUBE Conversation January 2020
from the silicon angle media office in Boston Massachusetts it's the queue now here's your host David on tape hello everyone and welcome to this special cube conversation you know Hewlett Packard Enterprise has gone through one of the most significant transformations in the history of the tech business once a much larger in far-flung conglomerate HP as you know split in two and now HPE is much more focused and has a completely different posture with respect to technology partners so today we're gonna focus in on the big drivers of innovation in the technology business data AI and cloud and get HPE spointer222 digging to two areas of growth hyper-converged infrastructure and intelligence storage I also want to share some ETR data using simply and nimble as proxies for these markets finally we want to peek into some of the spending data in HPE zico system to see how a more partner friendly HPE is faring and with me today is Patrick Osbourne Patrick is the vice president and GM of big data analytics and scale-out data platforms at Hewlett Packard Enterprise and a friend of the cube Patrick always a pleasure thanks for coming in thanks so much for having him so let me set it up here and I want to share some spending data with our audience Alex if you bring up the the first slide I want to show is this shows the the latest spending data just released from ETR on the various segments and you and it's a double y-axis and you can see in the left hand side is the average spend represented by the size of the charts on the right hand side is the growth rate represented by the dots and I've highlighted in green some of the key areas that we're going to talk about analytics bi big data you can see 12% still pretty big market even ten years into the big data theme cloud computing you know growing 15 16 % ml AI 17% you can see the container space is growing it between 15 and and 20 percent so Patrick let's start with what's in your title the big data you know the analytics piece you know what are you seeing there what's HP story yes so that's been a area growth for us within HPE not only from an infrastructure but also a services play we've got a number of you know big partners in the traditional you know big data space we made a number of you know strategic acquisitions over the last two years in this area specifically around blue data nap are so these areas that customers are in you know continue to invest in in the macro area are very important and well I think one of the things you're seeing here from a growth perspective is that they're also bringing in some very adjacent markets with AI and ml so it's part of an entire workflow so you start off with bi analytics big data and we have a number of solutions around that area and then starting to add in things like AI AM LDL into that analytics work workflow so it's been really good for us you're really kind of adding into your portfolio they're like say the map bar acquisition they they kind of were one of the the big three that started that whole big data movement and then now you have this organizations with these troves of data and they're trying to figure out okay what do we do with it and that's really where machine intelligence or AI comes in isn't it absolutely and not only you know we're we providing a number of solutions for customers in this area but we're using it ourselves to write to you know enhance our customer experience enhance our automation support automation I definitely give a you know much better customer experience with our storage and data platforms so wait you send your practitioners of AI to make your customers lives better by M you're saying by embedding that into storage platform you know if you take a look at a number of our marquee services that we have whether it's things like info site Green Lake even a rubra central you know think about some of the things that we do at the edge all that is being powered by AI right at the end of the day so we're using those techniques to improve the product and solution experiences for you know a number of our products everything from it started with nimble we added 3par now we've got simplicity in the info site and as we start to bring together some of the workloads at the edge right with Aruba and things we're doing there it's you know the customers are obviously voting with their dollars all right let's talk about cloud generally but specifically I want to get into hybrid containers McLeod has permanently changed you know our industry everybody wants to bring that cloud model on Prem it's clearly a hybrid world you could see containers really growing Stu Minutemen has a premise that look containers and kubernetes that we treat them as a separate thing but it's really being embedded into all parts of the portfolio so what's your point of view on on containers hybrid bring us up to speed on what HPE is doing there yeah so that's definitely fueling a lot of our growth not only in what you think about the traditional storage segments but as well as HCI right so you know when we talk later about some of the growth we're seeing nimble and simplicity we've got a number of solutions that sit you know directly within this container container orchestration container management we've got you know things that we develop on our own we made a huge announcement at kuba con right around the HPE container platform so for customers that want to run these analytics AI ml very data oriented applications that run in containers we have a great platform for that an HP container platform we could run that on bare metal we can run that in simplicity for example so we're seeing a lot of fuel for that not only just servicing some of the storage and data needs for containers right but also being able to provide an info site like experience for this new generation of application development and were close how do you see the edge fitting into this you know we interviewed Antonio recently with John Chambers at the pensando announcement and and that was kind of interesting you see do you see that as a as a pendulum swing or sort of an expansion of the cloud if you will yeah I definitely see it as an expansion when we talk at HPE we want to be an edge to quarter cloud you know company and helping customers navigate the digital transformation in hybrid IT right and then we're gonna offer that to customers as a service through Green Lake we've been pretty public about that and so one of the big opportunities we see is around these distributed data centers some people define a distributed edge whether that's customers who are doing autonomous vehicles autonomous drilling we see a number of you know big-box retailers you know for example that don't necessarily have a traditional data center but it's not so far out into the edge that it's like an autonomous vehicle but they have you know the similar concerns in terms of a distributed nature how do you automate that how do you manage that at scale and so these assets that we bring together with things like Aruba and our edge line servers and managing that data experience is something that we're gonna capitalize on in FY 24-hour constant retail is interesting right every Nevitt has a Amazon war room but many sectors as a retailer really on fire right now people trying to take advantage of their their store presence yep when IOT is a big factor there so you're seeing a lot of that action is HP yeah absolutely and those customer those customers of ours are fueling their growth through digital transformation so they're using containers and kubernetes and this new style of application development and they want to be able to distribute those data centers and that data but they also have to make it simple right so you see the march towards what we you know are platforms like simplicity for HCI some of the offerings we have around you know independently scalable three-tiered architectures but you get the best of HCI with that we call it nimble d HCI all right so we have a number offerings for customers who you know really want that scale and in serviceability alright let's let's let's pivot a little bit and talk about some of that infrastructure Alice you bring up the next slide what I want to talk to here is this is the ETR data every time they do one of these surveys they ask essentially you're spending more are you spending less and they subtract the less from the more and that's what they call net score net score remember is a measure of spending momentum now what we've done here is you can see the filtered end of 313 HPE customers out of the thousand plus survey respondents of this quarter and you can see a good mix of enterprise size and industry and it's a lot of North America but but good regional - and we're showing the net scores breakdown for for two of your platforms simplicity which is the HCI and nimble storage and you can see the bright green is people adding to the platform the sort of darker green is spending more so let's start with Pleasant levity HCI still a really hot in growing space you've got a nets or of 38 percent almost which is very very strong in ETR parlance you know it's not off the charts like some new tech but it's really really solid so what's the update on simplicity and HCI yeah so I mean this is obviously from from a market perspective HCI is a rapidly growing space still right there's a lot of room for growth both Brown field as well as green field opportunities in the core data center at the edge even in hybrid cloud format so for us it's all about new logo acquisition for simplicity we've shown a phenomenal growth rate for that technology stack developed here in Massachusetts are a great local company great story and so for us this HCI the the markets that we're playing in we take a look at storage and data management in general sub segments of the market are growing rapidly right take a look at HCI you take a look at SDS you take a look at all flash and so we have some great offerings in that space that are completely differentiated from a customer experience and a technology experience and they work together so for example simplicity we just announced earlier in the and later in the calendar year in 2019 that we would be offering simple ibbity with an info site right so you have the same experience that you get from nimble right you get with our HCI products so we're driving those experiences together obviously you know all flash is a huge growing category within storage nimble it's got some great growth they're not only just for new logo adoptions but expansion capability so we're you know - two great products that were seeing some success in yeah so let's talk about nimble the Alex could show that data again so neighborhoods got a net score of 46 percent which again a lot of momentum I mean smaller you know sample size but still really you know strong and you can see it's a more mature market so you see maybe fewer adoptions but almost 50 percent of your customers are saying they're gonna spend more this this quarter relative to last period so that's showing momentum you mentioned info site which is really the technology that sort of nimble brought to your company which are pushing out through the portfolio so your thoughts on that yes so I mean at the end of the day customers are you know the products themselves are great and they provide the customers a really good experience we're driving all that together at a meta layer right so we talked about the products and solutions for us the strategies around the intelligent data platform right so we have a number of platforms that can help dress a number of different workloads whether it's HCI disaggregated HCI whether it's all flash whether it's you know container workloads and container orchestration but we want to provide a very good experience that you can consume as a service and we're driving that together across product lines with data services that work both on Prem and in the cloud right so we have HPE cloud volumes and a number of our Cloud Data Services that tie these platforms together so for us it's all about a strategy around this intelligent data platform not just individual products the individual products are great but from a strategy perspective that is definitely resounding with customers well you talked about digital transformation earlier Patrick I think that's important it's it customers want solutions they don't want to certainly don't want to provision loans they don't want to think about managing boxes so they really want that infrastructure to be invisible they want to push their folks up the stack yep to just do more strategic things and it's it's really your Rd that they're looking toward to automate a lot of those mundane tasks isn't it yeah they look towards RI Rd as well as they look to HPE as a portfolio company to bring together a solution stack that's gonna work for them and sometimes that solution stack is comprised of some of our partners as well so we pick some of the best partners in the industry to go work with in some of these hottest you know portions of the market that are growing significantly so in the areas of HCI or in the areas of software-defined storage you know we've got a number of folks that we that we partner with hybrid cloud and we are able to bring you know a full complete solution to a customer and we D risk that for our customers at the end of the day right we've got some great partnerships with some great companies and that's really you know suited HP very well well great segue let's talk about some of those partnerships so you when when hewlett-packard split into two companies it opened up a ton of opportunities for partnerships for you guys you got a great distribution channel and what I'm showing here Alex on this next slide if you bring this up is three partners that are gaining a lot of momentum based on the spending ETR spending data in the surveys Kohi City theme and Nutanix now remember ETR uses this concept of of net score which we talked about and I'm gonna talk about that a little bit but also market share market share is a measure of pervasiveness in other words how how much there be mentioned inside of the service so I'm showing here market shares but also net scores and you can see Kohi city is just starting in the survey so starting to you know get more noticed and then you can see Veeam and Nutanix you know with the consistent long steady market share growth this is again within the hewlett-packard enterprise account based at 313 respondents so you can see there all three are doing very well and and look at the net scores for cohesive off-the-charts 74% growing very very rapidly again smaller sample size Nutanix much larger sample size you know 60% net score so very very strong in Veen you know surprisingly for a pretty mature company with a 45% net score again very very strong so talk about the the partnerships the new HPE partner posture and then we can maybe get into what you're seeing in the market with some of these partners yes so from for HPE you know we listen to our customers in terms of you know what their their challenges are part of my business is managing around scale out data platforms and so the data is always growing and so we're seeing you know this big trend of scale out architectures powered by you know ubiquitous very high bandwidth low latency networking in the data center and outside the data center and so we're able to you know put some of these software stacks on our infrastructure that works very well with our our you know our own IP solutions and you know solve a number of critical problems for customers around secondary storage right it's growing you want to make use of it to backup and disaster recovery it's always a problem it's definitely an opportunity around hybrid cloud HCI in SDS right it has many forms and flavors right and we want to be able to provide those solutions to our customers especially if you're doing hybrid or private cloud so a lot of these partners you know we want to you know provide a full stack solution to our customers and you know these have partners help us do that how are you I mean the the you've got HCI wouldna Tanic you've got HCI with simplicity you've got sort of certainly beam and cohesively compete up how do you guys position and the a let's start with the HCI piece huh you just let customers sort of direct you and guide you or you guide them how does that all work yeah I mean we always listen to the customer first but at the end of the day we you know we lead with our own IP and we have some you know we have two great solutions around the HCI framework where you going for a very simple very scalable solution in simplicity that has some very powerful data services great economics for the HCI market and you know you see the growth and sympathy for that then we have a number of other solutions specifically around nimble called DHC I write what we're finding is that customers as a classic customers that want to they want the simplicity of management that you'd get from from HCI but they also want to be able to independently scale your compute your networking and your storage and we're able to provide that with something like nimble ProLiant our networking stack and then plug that all into info sites and it works together right so at the end of the day if I having a workload that's more appropriate to work it's on simply as a platform or it's more appropriate for DHC i we can recognize that for our customers through predictive analytics we can automate the placement of that workload and then we provide customers a set of data services so those platforms work together so it really works out well okay and then in terms of well take the situation with Nutanix so that's a customer saying hey we want you guys to work together and you say great yeah problem absolutely we'll do that so that you know we have a set of recipes and and reference architectures and offerings around those that are available direct was well through the channel and is it fair to say that the Dean viii mispronounced be even though they tried a big push in the enterprise you're a part of that that push in and and of course you know cookie city's the hot new kid in the block again is it just sort of market pull that drives that or do you have yeah I mean we definitely theme has been recognized as a great solution for customers doing you know start off you know certainly focused directly on on virtualization and then you know their their strategy is moved and you know to a very adjacent market which is how do i you know tackle that virtualization and VMS and protecting my data but in a hybrid cloud in formats so they're definitely all in on cloud I think cohesive has a very scalable file system back in and it started off with backup and recovery and now is moving into some very adjacent use cases around file secondary storage what can I do around see ICD pipelines so it's kind of approaching it from different different angles you guys really kind of changing your marketing and your product marketing really focusing more on solutions yes outcomes customer outcomes bringing that cloud model to wherever your data lives whether it's on prem at the edge talking about bringing containers throughout the portfolio bring it home what are you sort of hoping for 2020 looks like what are some of those outcomes and what should we expect from from your perspective from HP yeah so I mean we at HPE are very focused on this edge to court a cloud concept hybrid IT so all of our products have you know some sort of endemic whether it's data services or a management paradigm around hybrid cloud and so we you know we we really are you'll see that within our products product releases solution releases the people that we partner with and I think the big thing that we you know pivoted it into at the end of 2019 you'll see this accelerate significantly in 2020 is around this consumption model right the cloud consumption model with Greenlake so we talked a little bit of you know certainly Green Lake from a financial perspective but awful Green Lake as a management paradigm so Green Lake central was announced at the end of the year and just the ability to be able to you know like you do in the top of cloud right but top of private cloud or top of hybrid cloud from HPE and get a really good visibility financially into you into what you're doing it's a mindset too from the top I mean Antonio is saying everything is a service right absolutely yeah so all right Patrick hey thanks for coming in and give us the update on on HPE good luck this year and great to see it yeah thank you very much you're welcome and thank you for watching everybody this is Dave a lot day for the cube we'll see you next time thanks for watching
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Patrick Osborne, HPE | CUBE Conversation, September 2019
>> From the SiliconANGLE media office, in Boston, Massachusetts, it's theCUBE. Now, here's your host, Stu Miniman. >> Hi, I'm Stu Miniman, and welcome to a Cube Conversation here in our new Boston area studio, happy to welcome back to the program a VIP from our community, Patrick Osborne, who's the Vice President and General Manager for big data and secondary storage at Hewlett Packard Enterprise, Patrick, great to talk to you. >> Great to be back, thanks, Stu. >> All right, we're talking about the big thing, hundredth year of the NFL kicking off here. Maybe we're talking a little bit about the changing role of infrastructure and, we've been talking about it at the Wikibon team for a number of years, data is at the center of the universe today, when we talk about IT and businesses and what they're thinking about, and in some ways everything's changed, and in other ways it feels like I go to some of these shows and the people that have even more experience than me are like "Oh, geez, we've recreated the mainframe." So, we're fresh off of VMworld, you skipped the show this year, but I know HPE had a large presence at the show, and let me start there, I guess, we look at data centers and cloud, and the mission VMware has is how do they maintain relevant as customers are changing their applications? They just made billions of dollars of acquisitions to be more in the cloud native environment, so when you look at, HPE's very well known in the infrastructure space, had some changes as to what pieces are in the company versus partnered with the company, so when you talk to your customers and they're changing what I call the long pole in the tent of modernization, it's the applications. Where are they today, where are some of the areas that they're doing well, and where are the areas that it's challenging and struggling? >> Yeah, so I'd say from an HPE perspective, we've made a number of investments as well, over the last couple years, both inorganic and organic investments in the space, and I think that even though we've historically been known as an infrastructure company, we're very quickly pivoting towards being known as an enterprise workload company, and so for my perspective, the things that we're trying to do, especially in our division around AI and ML and analytics is being able to provide a platform for customers, especially application developers. I think when we talk about how the world is changing, the buyer personas people were selling to now have completely drastically changed, right? There's no more dedicated backup teams, there's rarely now dedicated storage teams, maybe only in very large organizations, and so now you're catering to a different set of folks, and for instance, over the last two or three years, we've seen the advent of folks like a chief data officer, the CDO, data scientists, data engineers, and so for us, we have a whole new buyer persona and user persona that we not only have to cater to in our UX design, but also present the value, which is a much different conversation than we've had in the past. >> Yeah, you know I actually had a number of conversations with customers at the VMworld show, and they talked about, organizationally they often still have hardware-defined roles, yet they live in a software-defined world. So, even groups that are like "I still have some storage headcount and some "networking headcount," but virtualization and cloud are slowly eating over pieces it, but there's still some turf battles, which I was sad to hear because, I've worked for the last couple of decades to try to eliminate silos and get people working together, so we know those organizational changes often take even longer than the long cycles of technology that we're trying to roll out here. You mentioned some of the big data pieces, and yeah, HPE's made a number of acquisitions. Most recently MapR. Wonder if you could help us connect the dots. When we covered heavily, the big data wave, and Dave Vellante would say, "Look, the people that "deploy these technologies, the end users will create "way more value than the distributions of Hadoop will." When we did our forecast, they were there, but the promise of big data was, data was going to go from that burden, how do I keep it, how do I maintain it, how do I back it up, to new value for the company, new revenue that we could have along that where, and whether or not that happened often mattered on deployment, but when you go into the AI space, like what you're doing with BlueData, is that a continuation of what we were seeing with the big data space, is there some new waves that are drastically changing the outcomes in what we're seeing, how does that all fit together? >> Yeah, so I mean I think it's definitely an extension of all these things are creative and incremental at the end of the day. I think some of the things around how people are operationalizing AI and ML are pretty unique, and so from our perspective, we made some investments around BlueData, and we've had some recent product announcements in that area around helping folks operationalize machine learning, which is, at this point it's becoming very real and people are putting it into a number of different use cases, and then to come along with that, the need to store data, right, so we talk about this often, which nobody talks about storage anymore, everyone talks about data, right? The need to store all this data that's coming in in a persistent data layer is super important, more important than it ever was, and it comes in multiple different forms and multiple different factors, and also protocols. So, to have a data platform that is very scalable, has enterprise resiliency to it, the ability to take data and manifest it in different ways, right, is important for that entire ecosystem, we felt that MapR was a great platform, they have a great data platform, that started with Hadoop, moved into supporting things like streams, Kafka and Spark, and then certainly now have been shifted into a Kubernetes and container deployment, and then mapping their file system and their database and streams to servicing AI and ML workloads, so it's kind of along the same vein and being able to live in that world that you're still separating compute and storage, and being able to scale those independently, but work together from a security perspective, I think it's really important. >> One of the boundaries that I've always been fascinated with is, some of the underlying components that we're changing, so when we rolled out virtualization, the whole storage and networking industry had to work to kind of put the pieces back together as we took advantage of that. You mentioned Kubernetes, at the KubeCon show, there's lots of that same plumbing things that need to be understand and work. But on the other hand, we've seen a massive transformation in the database market. 10 years ago, everybody had one database to rule them all, and now most companies we talk to, it's like "Oh, well I've got lots of little databases "and now pulling them together differently." But that boundary between what's happening at the infrastructure layer and what's happening at the application layer. On the one hand, they seem to be pulling apart, you know, I should just be able to use cloud or serverless and makes it easy, but on the same hot time, you're talking everybody's like "I've got the best infrastructure for your AI deployment," so can you talk a little bit about some of the hard challenges that HPE's looking at solving, what do you look to actually create, whether that be a box or a service or some offering, cause I know HPE has lots of different areas that you look at those solutions. >> Yeah, we're trying to, when we go and have a successful deployment at our customers, and we have deployments in most verticals, right, in the Fortune 500 Global 2000, whether it's financial services, automotive, manufacturing, you can name healthcare, right? I think what we've seen is that the successful deployments are the ones that bring together the application owner's line of business, even the data scientist engineers, along with the infrastructure folks, right? Think, sometimes they're at odds. And so when you can bring together a platform that at the end of the day is going to provide something, right, as a service, it's either an analytic sandbox, big data and analytics as a service, AI as a service, right, there is a set of folks that are trying to service a number of application developers and data scientists internally, that's a platform that can have a uniform data structure, where you can grab all this data and have access to it securely, and be able to deploy your workflow on top of that, in a virtualized, multitenant way, deployed in containers with the toolsets and the applications that they want to have access to, but not have to deal with the infrastructure, right? And then that can be the providence of the CIO and the data center team and the infrastructure folks working with those teams, and that's where we've seen the magic happen for successful deployments, and those are the ones that, they end up growing and scaling very quickly, and they can be deployed on-prem, they can be deployed, we have some of our pilots and POCs that start completely in the cloud and then come back on prem for different reasons, security, data locality, governance, what have you, but it provides the flexibility, but I think what we found is that, taking an outcome and a services-based approach that bring everyone to the table, that's where we see the projects really get a big business benefit for our customers. >> You know, I was having a conversation earlier today, and when we watch the adoption of virtualization, it's been almost 20 years now, since most people are doing it. When we'd reached about 10 years in, we felt that most people were doing it and were on their journey, but things like converged and hyperconverged infrastructure really helped accelerate us past that kind of early majority into the late majority because it was the simplicity of that offering. We wonder, are we reaching some of that same point when we look at cloud, and when I say cloud, not just public cloud, but what we're doing in private, where the hybrid, multicloud mixup that we have, because while cloud is definitely real and here to stay, I don't think anybody would really say that cloud, circa 2019, is easy. So, how does HPE and its partners, how do we make it even easier so that customers can move down that journey to modernize themselves even more, and get out of what we call that undifferentiated heavy lifting? >> Yeah, so definitely want to avoid the undifferentiated heavy lifting, because that's certainly a weight on many organizations, and so what we are trying to provide is a platform that increases customers' time to value, and by providing, by abstracting a lot of difficult things. I mean there's a lot of data gravity in this space, right, you're talking about, we have projects right now for autonomous cars where they ingest two, five, 10 petabytes a day, for example, and it's not, it's very difficult to migrate and move that data, right, so you want to be able to bring that data in, tap into it securely, there's a lot of networking that goes on that's very difficult from a security perspective as well as multitenancy and making sure that that model is set up correctly. So for us, it's all about providing a platform that can service multiple tenants and multiple organizations that are all using similar toolsets at the end of the day, but you can have your specific data scientists and data engineers operating on a platform that they don't have to worry about infrastructure. Right, cause at the end of the day, when we go visit those folks who own those applications, oftentimes they don't want to deal with, "I need to go request in a VM, "I need to go request a block of IP addresses, "I need some LUNs for my storage, "I need a server deployment to run bare metal," you know, some bare metal tooling. They really want to establish a service, just like we saw with virtualization, and so right now it's sort of the fight for, how can I make my infrastructure as invisible as possible and fight for the eyeballs of the developers? >> Great. Want to just give you the final word, Patrick, what's exciting you, kind of second half of the year, things you're looking forward to? >> Yeah, so the things that excite me is certainly customer acquisition, right, we've been marching along that very quickly with some of these new acquisitions and some of the net new development we've done within HPE, I think that the, we've got a lot of stuff cooking with Kubernetes in that area, and so we'll make some big announcements at KubeCon, and that's always very exciting to talk in these new ecosystems, and speaking of ecosystems, we're establishing, I think there's new ecosystems that are forming in the market, especially around AI and ML, it's still a very nascent market, and so we're bringing on new partners every week from an application development perspective, and so for me it's really exciting to talk with all these new apps, these new tool chains, new toolsets, libraries, algorithms, and I think it's really exciting to kind of move up stack and be in this very cool world of application development. >> I know when I see the market landscape of some of the AI space, you need to have a big monitor or be able to zoom in, cause there's a lot of players, there's a lot of pieces, we always worry about things like API sprawls and the like, but absolutely super exciting space, Patrick Osborne, thanks so much for giving us an update on what's happening, especially how AI is driving a lot of new innovation in the area. >> Yeah, very exciting, thanks for having me. >> All right, Patrick Osborne with HPE, and I'm Stu Miniman, thanks as always for joining theCUBE.
SUMMARY :
From the SiliconANGLE media office, and secondary storage at Hewlett Packard Enterprise, and the people that have even more experience than me and for instance, over the last two or three years, that are drastically changing the outcomes and being able to live in that world that you're still On the one hand, they seem to be pulling apart, and the applications that they want to have access to, and when we watch the adoption of virtualization, and so right now it's sort of the fight for, Want to just give you the final word, Patrick, and so for me it's really exciting to talk with of some of the AI space, you need to have a big monitor and I'm Stu Miniman, thanks as always for joining theCUBE.
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Patrick Osborne, HPE | Data Drilldown
>> From the SiliconANGLE Media Office in Boston, Massachusetts, it's The Cube! Now, here's your host, Dave Velante. >> We're back with Patrick Osborne. All right Patrick, we've been talking about how customers want to be data-driven, they're doing digital transformation, they want to put data at the core of the enterprise. All sounds good. What's your strategy as HPE in terms of helping them get there? >> Yeah so, for our customers, this is a common theme, right. Some feel that they're going to be disrupted, they've been disrupted, right, and one of the key threads that runs through that is that they want to get more AI driven, right, so they want to use analytics as a way to provide new services around their products, get these services out faster, be able to use all that data they have in their enterprise. So for us, it's being able to have that conversation of whether the data sits out in the edge, right, you guys are very familiar with our Edge strategy, using Edgeline and Aruba, our core infrastructure in the data center, which we've had-- for a long history of helping customers with that, and then more recently around Hybrid Cloud, right, so most of the products, services, experiences we have there have Hybrid Cloud built in from the ground up. So for us, all those conversations have to do with data. >> So you recently made an acquisition of BlueData. >> Correct. >> What was that all about? Was that your AI play? Was it a software-as-a-service play? Explain that. >> Yeah, certainly a little bit of both. BlueData's a fantastic platform and it allows you to virtualize, containerize the application, so we know that in the market, you've got mode one applications, you've got mode two applications, a lot of mode one apps, you know, business applications, mission critical applications, have been virtualized. But what we also see is that a lot of the new product development is around these mode two applications that are using things like big data, whether it's a dupe in H-D-F-S, fast data - some of the streaming services - and now you're doing things around A-I inferencing, modeling, all using essentially containers as a way to do that, fuel that application development. So when we saw BlueData, it's essentially a platform to be able to virtualize all of these container-based applications. And as customers, big data and analytics and A-I platforms and their pipeline gets bigger and more complicated, it allows us to, A) manage that, increase their time to value, unlock a lot of the resources on the data scientists side, right, who have the responsibility of managing all of those applications, and it's a really great platform, great people, right, so they have a team of data scientists to be able to help customers implement this, not only within the product but within their own enterprise. And then we've got some really, really big logos that we're going to build off of for the BlueData ecosystem. >> So things are moving very fast. You've got all this data, you're applying machine intelligence and quickly moving from a world that was all batch to one that's real time, and we blinked and real time flew by. Now you've got this machine intelligence world where systems are acting, they're sensing, they're hearing, they're smelling... >> Yup. >> And so, is that what you're seeing with customers? Are they trying to build these sort of new systems that will act on their behalf? >> Absolutely. We see it on our own. If you take a look at some of our strategy, as HPE, especially within our storage and big data division, one of the big things that we're doing is introducing all of our products with the capability of A-I ops, right. And so all of our products that go out the door, using platforms like Infosite, will have this A-I ops capability to, not only just start with support automation, predictive analytics, and now you've got predictive A-I driving the actual management experience of these products. And it lets our customers ultimately unlock those resources that were doing mundane, repeatable tasks to focus on where they're going to add value. >> So I got to ask you, you guys do-- obviously a lot of your revenue comes from indirect channels. So you've seen the cloud, the cloud is not about selling boxes anymore, now you're seeing all this machine intelligence and automation. What does all this mean for partners? Where's the opportunity for those guys? >> Yeah so, I would say that when we go and make an acquisition like Blue Data, it's a great, like we said before, it's a great product, it's a good platform, right, they've got great engineers and great people within the organization and certainly some big logos. The reason why they got those logos was partly based on the product, but it's also a very services led methodology. So for-- I'd say for our partner community, being able to do discovery services, to understand what they're requirements are, a lot of folks that use BlueData and these type of platforms are builders. They're building a platform that has services on it for their end user customers. So being able to gather those requirements, do implementation, certainly be able to take a lot of this dynamic application ecosystem that is either very new, it's nascent, when you take a look at A-I or it's even in the open source arena, being able to de-risk that for the customers, from a services perspective, is a huge opportunity. >> Okay, great, so that's exciting because it's new frontier for those folks. So think about HPE, the tech that you guys have, the partner opportunity that you just described, how are you going to change the life of a data scientist? And maybe we could add in some other personas as well. >> Yeah, so, as a lot of our customers and partners certainly know, data scientists don't grow on trees, right, and they're very important folks within these large organizations, right, so you want to unlock their capabilities. So for us at the end of the day, we're trying to have a platform and as a service experience around A-I that unlocks the value of these data scientists. So for example, if I have a production environment or a U-A-T or a test dev environment, I can very quickly spin up your entire toolchain as a data scientist, right, so your toolchain, your models, your H-D-F-S data lakes, you can tap into existing data lakes, all of my streaming data, Kafka, Spark, all this stuff, very dynamic ecosystem, complex application dependencies. What I can do is I can sandbox that, I can test it, I can iterate, and I can very, very quickly provide that type of environment for your developers and your data scientists (snaps) just like that. >> So, in addition to the data scientist, is the chief data officer somebody that you guys are interacting with? There's also the application developer. Are you trying to sort of effect this collaboration amongst those different roles and personas? >> Yeah I think one of the greatest things for the partners and we've seen this at HPE too, is that you're going to be calling on new buyer personas. Right, so in the case of infrastructure, working a lot with enterprise architects, data center manager, infrastructure manager, C-I-O. In the case of BlueData and some of these A-I and analytics projects, right, you're at the front of the budget cycle, right, so you're talking to line of business, application developers, data scientists, analytics team, and now the rise of the C-D-O, the chief data officer. So you not only get to establish value with the infrastructure team, who are going to have to support this, right, you're going to go make some new friends and be able to get on the front of the budget cycle with a whole new set of buyer personas, and I think that's very exciting for partners. >> So, we talk a lot about A-I and, sort of this machine learning environment, machine intelligence. Software-defined is a hot topic. It's kind of a buzzword but it has meaning. What does it mean to you? Where does it fit in this whole equation? >> It's very adjacent to the big data and A-I analytics conversation. I think that what we see in software-defined, it's heavy on scale, right, so now that you're into petabytes, tens of petabytes, hundreds of petabytes, scaling, scaling, scaling, you need some new architectures to be able to do that cost-effectively. And you think about automated cars for example. They're-- each car is spinning off terabytes of data a day, so think about how am I going to store that, it's a monumental task. You got scale on your mind, you also have automation, right, so not only the scale of being able to store that effectively from a price-point, to be able to automate that. So you want to keep your-- the folks who are managing that infrastructure, they're going to have to increase the amount of systems, capacity under management, and the only way you can achieve that is through automation. And so, we see some themes around that and software-defined is really, kind of stepping in in that angle where you've got N-V-M-E, S-S-Ds, can saturate-- two N-V-M-E can saturate a C-P-U at this point, right, and now you're moving to hundred gig fabrics, so this rack-scale architecture that you can provide and paint on different software-defined personalities onto it is something that customers are definitely leaning in towards right now. >> And what you've been describing-- you mentioned autonomous vehicles-- data's at the edge, it's at the core, it's everywhere, and so, easier to bring, maybe, let's call it, ten meg of code to a petabyte of data than the reverse. >> Yeah, and what we see too is customers want to-- they want to dip their toe in this water, right, starting with very large enterprises, and we're able to, as HPE, bring a vetted ecosystem, whether from a workload perspective, 'cause we always talk about follow the workload, in software-defined, if you need something like scale-out file for A-I workloads, or you need scale-out file for more of a high performance, capacity-driven architecture, you're looking for object storage, you're looking for hyper-converged secondary, right, we bring an ecosystem of partners running on our infrastructure that's scalable, automated, and customers can feel confident in. >> Awesome. Well thank you Patrick, love the story. >> Yeah, thank you so much. >> You're welcome. (upbeat music)
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Patrick Osborne, HPE | CUBEConversation, November 2018
>> From the SiliconANGLE Media Office in Boston, Massachusets, it's theCUBE. Now, here's your host, Dave Vellante. >> Hi everybody, welcome to this preview of HPE's, Discover Madrid storage news. We're gonna unpack that. My name is Dave Vellante and Hewlett Packard Enterprise has a six-month cadence of shows. They have one in the June timeframe in Las Vegas, and then one in Europe. This year, again, it's in Madrid and you always see them announce products and innovations coinciding with those big user shows. With me here is Patrick Osborne who's the Vice President and General Manager of Big Data and Secondary Storage at HPE. Patrick, great to see you again. >> Great to be here, love theCUBE, thanks for having us. >> Oh, you're very welcome. So let's, let's unpack some of these announcements. You guys, as I said, you're on this six-month cadence. You've got sort of three big themes that you're vectoring into, maybe you could start there. >> Yeah, so within HP Storage and Big Data where, you know, where our point of view is around intelligent storage and intelligent data management and underneath that we've kind of vectored in on three pillars that you talked about. AI driven, so essentially bringing the intelligence, self-managing, self-healing, to all of our storage platforms, and big-data platforms, built for the Cloud, right? We've got a lot of use cases, and user stories, and you've seen from an HPE perspective, Hybrid Cloud, you know, is a big investment we're making in addition to the edge. And the last is delivering all of our capabilities, from product perspective, solutions and services as a service, right? So GreenLake is something that we started a few years ago and being able to provide that type of elastic, you know, purchasing experience for our customers is gonna weave itself in further products and solutions that we announce. >> So I like your strategy around AI. AI of course gets a lot of buzz these days. You guy are taking a practical approach. The Nimble acquisition gave you some capabilities there in predictive maintenance. You've pushed it into your automation capabilities. So let's talk about the hard news specifically around InfoSight. >> Yeah, so InfoSight is an incredible platform and what you see is that we've been not only giving customers richer experiences on top of InfoSight that go further up into the stack so we're providing recommendation engines so we've got this whole concept of Cross-stack Analytics that go from, you know, your app and your virtualization layer through the physical infrastructure. So we've had a number of pieces of that, that we're announcing to give very rich, AI-driven guidance, to customers, you know, to fix specific problems. We're also extending it to more platforms. Right, we just announced last week the ability to run InfoSight on our server platforms, right? So we're starting off on a journey of providing that which we're doing at the storage and networking layer weaving in our server platform. So essentially platforms like ProLiant, Synergy, Apollo, all of our value compute platforms. So we are, we're doing some really cool stuff not only providing the experience on new platforms, but richer experiences certainly around performance bottlenecks on 3PAR so we're getting deeper AI-driven recommendation engines as well as what we call an AI-driven resource planner for Nimble. So if you take a look at it from a tops-down view this isn't AI marketing. We're actually applying these techniques and machine learning within our install base in our fleet which is growing larger as we extend support from our platforms that actually make people's lives easier from a storage administration perspective. >> And that was a big part of the acquisition that IP, that machine intelligence IP. Obviously you had to evaluate that and the complexity of bringing it across the portfolio. You know we live in this API-driven world, Nimble was a very modern platform so that facilitated that injection of that intelligence across the platform and that's what we're seeing now isn't it. >> Yeah, absolutely. You go from essentially tooling up these platforms for this very rich telemetry really delivering a differentiated support experience that takes a lot of the manual interactions and interventions from a human perspective out of it and now we're moving in with these three announcements that we've made into things that are doing predictive analytics, recommendations and automation at the end of the day. So we're really making, trying to make people's lives easier from an admin perspective and giving them time back to work on higher value activities. >> Well let's talk about Cloud. HP doesn't have a public Cloud like an Amazon or an Azure, you partner with those guys, but you have Cloud Volumes, which is Cloud-like, it's actually Cloud from a business model perspective. Explain what Cloud Volumes is and what's the news here? >> Yeah, so, we've got a great service, it's called HPE Cloud Volumes and you'll see throughout the year us extending more user stories and experiences for Hybrid Cloud, right. So we have CloudBank, which focuses on secondary storage, Cloud Volumes is for primary storage users, so it is a Cloud, public Cloud adjacent storage as a service and it allows you to go into the portal, into your credentials. You can enter in your credit card number and essentially get storage as a service as an adjacent, or replacement data service for, for example, EBS from Amazon. So you're able to stand up storage as a service within a co-location facility that we manage and it's completely delivered as a service and then our announcement for that is that, so what we've done in the Americas is you can essentially apply compute instances from the public Cloud to that storage, so it's in a co-location facility it's very close from a latency standpoint to the public Cloud. Now we're gonna be extending that service into Europe, so UK, Ireland, and for the EMEA users as well as now we can also support persistent storage work loads for Docker and Kubernetes and this is a big win for a lot of customers that wanna do continuous improvement, continuous development, and use those containerized frameworks and then you can essentially, you know, integrate with your on-prem storage to your off-prem and then pull in the compute from the Cloud. >> Okay so you got that, write once, run anywhere sort of model. I was gonna ask you well why would I do this instead of EBS, I think you just answered that question. It's because you now can do that anywhere, hybrid is a key theme here, right? >> Yeah, also too from a resiliency perspective, performance, and durability perspective, the service that we provide is, you know, certainly six-nines, very high performant, from a latency perspective. We've been in the enterprise-storage game for quite some time so we feel we've got a really good service just from the technology perspective as well. >> And the European piece, I presume a lot of that is, well of course, GDPR, the fines went into effect in May of 2018. There's a lot of discussion about okay, data can't leave a particular locality, it's especially onerous in Europe, but probably other places as well. So there's a, there's a data locality governance compliance angle here too, is there not? >> Yeah, absolutely, and for us if you take a specific industry like healthcare, you know, for example, so you have to have pretty clear line of sight for your data provenance so it allows us to provide the service in these locations for a healthcare customer, or a healthcare ISV, you know, SAS provider to be able to essentially point to where that data is, you know, and so for us it's gonna be an entrance into that vertical for hybrid Cloud use cases. >> Alright so, so again, we've got the AI-driven piece, the Cloud piece, I see as a service, which is the third piece, I see Cloud as one, and as a service is one-A, it's almost like a feature of Cloud. So let's unpack that a little bit. What are you announcing in as a service and what's your position there? >> Yeah, so our vision is to be able to provide, and as a service experience, for almost everything we have that we provide our customers. Whether it's an individual product, whether it's a solution, or actually like a segment, right? So in the space that I work in, in Big Data and secondary service, secondary storage, backup is a service, for example, right, it's something that customers want, right? They don't want to be able to manage that on their own by piece parts, architect the whole thing, so what we're able to do is provide your primary storage, your secondary storage, your backup ISV, so in this case we're gonna be providing backup as a service through GreenLake with Vim. And then we even can bring in your Cloud capacity, so for example, Azure Blob Storage which will be your tertiary storage, you know, from an archive perspective. So for us it really allows us to provide customers an experience that, you know, is more of an, it's an experienced, Cloud is a destination, we're providing a multi-Cloud, a Hybrid-Cloud experience not only from a technology perspective, but also from a purchasing flex up, flex down, flex out experience and we're gonna keep on doing that over and over for the next, you know, foreseeable future. >> So you've been doing GreenLake for awhile here-- >> Yeah, absolutely. >> So how's that going and what's new here? >> Yeah, so that's been going great. We have well over, I think at this point, 500 petabytes on our management under GreenLake and so the service is, it's interesting when you think about it, when we were designing this we thought, just like the public Cloud, the compute as a service would take off, but from our perspective I think one of the biggest pain points for customers is managing data, you know, storage and Big Data, so storage as a service has grown very rapidly. So these services are very popular and we'll keep on iterating on them to create maximum velocity. One of the other things that's interesting about some of these accounting rules that have taken place, is that customers seed to us the, the ability to do architecture, right, so we're essentially creating no Snowflakes for our customers and they get better outcomes from a business perspective so we help them with the architecture, we help them with planning an architecture of the actual equipment and then they get a very defined business outcome in SLA that they pay for as a service, right? So it's a win-win across the board, is really good. >> Okay, so no Snowflakes as in, not everything's custom-- >> Absolutely. >> And then that, so that lowers not only your cost, it lowers the customer's cost. So let's take an example like that, let's take backup as a service which is part of GreenLake. How does that work if I wanna engage with you on backup as a service? >> Yeah, so we have a team of folks in Pointnext that can engage like very far up in the front end, right, so they say, hey, listen, I know that I need to do a major re-architecture for my secondary storage, HPE, can you help me out? So we provide advisory services, we have well-known architectures that fit a set of well-known mission critical, business critical applications at a typical customer site so we can drive that all the way from the inception of that project to implementation. We can take more customized view, or a road-mapped approach to customers where they want to bite off a little bit at a time and use things like Flex Capacity, and then weave in a full GreenLake implementation so it's very flexible in terms of the way we can implement it. So we can go soup to nuts, or we can get down to a very small granular pieces of infrastructure. >> Just sticking on data protection for a second, I saw a stat the other day, it's a fairly well, you know, popular, often quoted stat, it was Gartner I think, is 50% of customers are gonna change their backup platform by like 2023 or something. And you think about, and by the way, I think that's a legitimate stat and when you talk to customers about why, well things are changing, the Cloud, Multicloud, things like GDPR, Ransomware, digital transformation, I wanna get more out of my data then just insurance, my backup then just insurance, I wanna do analytics. So there's all these other sort of evolving things. I presume your backup as a service is evolving with that? >> Absolutely. >> What are you seeing there? >> Yeah, we're definitely seeing that the secondary storage market is very dynamic in terms of the expectations from customers, are, you know, they're changing, and changing very rapidly. And so not only are providing things like GreenLake and backup as a service we're also seeking new partners in this space so one of the big announcements that we'll make at Discover is we are doing a pretty big amplification of our partnership in an OEM relationship with Cohesity, right, so a lot of customers are looking for a secondary platform from a consolidation standpoint, so being able to run a number of very different disparate workloads from a secondary storage perspective and make them, you know, work. So it's a great platform scale-out. It's gonna run on a number of our HPE platforms, right, so we're gonna be able to provide customers that whole solution from HPE partnering with Cohesity. So, you know, in general this secondary storage market's hot and we're making some bets in our ecosystem right now. >> You also have Big Data in your title so you're responsible for that portfolio. I know Apollo in the HPC world has been at a foothold there. There's a lot of synergies between high-performance computing and Big Data-- >> Absolutely. >> What's going on in the Big Data world? >> Yeah, so Big Data is one of our fastest growing segments within HPE. I'd say Big Data and Analytics and some of the things that are going on with AI, and commercial high-performance applications. So for us we're, we have a new platform that we're announcing, our Gen10 version of Apollo 4200, it's definitely the workhorse of our Apollo server line for applications like, Cloudera, Hortonworks, MapR, we see Apache Spark, Kafka, a number of these as well as some of these newer workloads around HPC, so TensorFlow, Caffe, H2O, and so that platform allows us with a really good compute memory and storage mix, from a footprint perspective, and it certainly scales into rack-level infrastructure. That part of the business for us is growing very quickly. I think a lot of customers are using these Big Data Analytics techniques to transform their business and, you know, as we go along and help them it certainly, it's been a really cool ride to see all this implemented at customer sites. >> You know with all this talk about sort of Big Data and Analytics, and Cloud, and AI, you sort of, you know, get lost, the infrastructure kinda gets lost, but you know, the plumbing still matters, right, and so underneath this. So we saw the flash trend, and that really had a major impact on certainly the storage business specifically, but generally, the overall marketplace, I mean, you really, it'd be hard to support a lot of these emerging workloads without flash and that stack continues to evolve, the pyramid if you will. So you've got flash memory now replacing much of the spinning disk space, you've got DRAM which obviously is the most expensive, highest performance, and there seems to be this layer emerging in the middle, this storage-class memory layer. What are you guys doing there? Is there anything new there? >> Yeah, so we've got a couple things cooking in that space. In general, like when you talk about the infrastructure it is important, right, and we're trying to help customers not only by providing really good product in scalable infrastructure, things like Apollo, you know our system's Nimble 3PAR. We're also trying to provide experience around that too. So, you know, combining things like InfoSight, InfoSight on storage, InfoSight on servers and Apollo for Big Data workloads is something that we're gonna be delivering in the future. The platforms really matter. So we're gonna be introducing NVME and storage class memory into our, what we feel is the industry-leading portfolio for our, for flash storage. So between Nimble and 3PAR we'll have, those platforms will be, and they're NVME ready and we'll be making some product announcements on the availability of that type of medium. So if you think about using it in a platform like 3PAR, right, industry leading from a performance perspective allows to get sub 200 millisecond performance for very mission-critical latency intolerant applications and it's a great architecture. It scales in parallel, active, active, active, right, so you can get quite a bit of performance from a very, a large 3PAR system and we're gonna be introducing NVME into that equation as a part of this announcement. >> So, we see this as critical, for years, in the storage business, you talk about how storage is growing, storage is growing, storage is growing, and we'd show the charts upper to the right, and, but it always like yeah, and somehow you gotta store it, you gotta manage it, you might have to move it, it's a real pain. The whole equation is changing now because of things like flash, things like GPU, storage class memory, NVME, now you're seeing, and of course all this ML and deep learning tech, and now you're seeing things that you're able to do with the data that you've never been able to do before-- >> Absolutely. >> And emerging use cases and so it's not just lots of data, it's completely new use cases and it's driving new demands for infrastructure isn't it? >> Absolutely, I mean, there's some macro economic tailwinds that we had this year, but HP had a phenomenal year this year and we're looking at some pretty good outlooks into next year as well. So, yeah, from our perspective the requirement for customers, for latency improvements, bandwidth improvements, and total addressable capacity improvements is, never stops, right? So it's always going on and it's the data pipeline is getting longer. The amount of services and experiences that you're tying on to, existing applications, keeps on augmenting, right? So for us there's always new capabilities, always new ways that we can improve our products. We use for things like InfoSight, and a lot of the predictive Analytics, we're using those techniques for ourselves to improve our customers experience with our products. So it's been, it's a very, you know, virtual cycle in the industry right now. >> Well Patrick, thanks for coming in to theCube and unpacking these announcements at Discover Madrid. You're doing a great job sort of executing on the storage plan. Every time I see you there's new announcements, new innovations, you guys are hittin' all your marks, so congratulations on that. >> HPE, intelligent storage, intelligent data management, so if you guys have data needs you know where to come to. >> Alright, thanks again Patrick. >> Great, thank you so much. >> Talk to you soon. Alright, thanks for watching everybody. This is Dave Vellante from theCUBE. We'll see ya next time. (upbeat music)
SUMMARY :
From the SiliconANGLE Media Office and you always see them announce products and innovations Great to be here, love theCUBE, maybe you could start there. that type of elastic, you know, So let's talk about the hard news and what you see is that we've been not only of that intelligence across the platform that takes a lot of the manual interactions but you have Cloud Volumes, which is Cloud-like, from the public Cloud to that storage, Okay so you got that, write once, run anywhere the service that we provide is, you know, And the European piece, I presume a lot of that is, Yeah, absolutely, and for us if you take What are you announcing in as a service for the next, you know, foreseeable future. and so the service is, How does that work if I wanna engage with you of the way we can implement it. and when you talk to customers about why, and make them, you know, work. I know Apollo in the HPC world has been and so that platform allows us the pyramid if you will. right, so you can get quite a bit of performance in the storage business, you talk about how So it's been, it's a very, you know, virtual cycle new innovations, you guys are hittin' all your marks, so if you guys have data needs Talk to you soon.
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Patrick Osborne, HPE | Commvault GO 2018
>> Announcer: Live from Nashville, Tennessee, it's theCUBE, covering Commvault GO 2018. Brought to you by Commvault. >> Welcome back to Nashville, Tennessee, the home this week of Commvault GO with Keith Townsend. I'm Stu Miniman and you're watching theCUBE. Happy to welcome to the program a regular on our program, Patrick Osborne, who's the vice president and general manager of Big Data and secondary storage at Hewlett-Packard Enterprise. Patrick, great to you see. >> Great, thanks for having me. Love to be on theCUBE. Appreciate it. >> Yeah, so we've had you on theCUBE in lots of places, but a first in Nashville 'cause it's the first time we've been here. Keith's second time at the show, my first. What's your impression so far? >> Yeah, so this is our first major presence here at Commvault GO. I think it's going pretty well so far, certainly a great venue. We actually, we do a couple things here for our own presales folks. So first impressions, love the fact that we have a whole conference dedicated to secondary storage, certainly getting a lot of importance lately within customer conversations as well overall investment in the industry, so I'm pretty impressed, pretty lively crowd here. >> Yeah, I really liked, we started off the morning talking to Chris Powell, the CMO of Commvault, talking about how Commvault is a 20-year-old company, and therefore there were certain things that a 20-year-old company has. If you think about their pricing, you think about how people's perception of them are, you work at a company with plenty of history. HPE can partner with whomever they'd like to. >> Yep. >> Stu: Why's it important for HPE to partner with Commvault? >> Yeah, 20 years for Commvault, 78 for HPE, right, so we got a lot of chops there. For us, secondary storage is certainly becoming very important for customers, and it's being driven by new user stories, new capabilities centered around data. So what we look for is, as a technology company, we want to provide an entire solution, vertically oriented, that not only includes our compute networking, storage, secondary storage, cloud, but as well as a very vibrant ecosystem. So we've been working, certainly, with our customers and in the partner ecosystem with Commvault for a number of years, and now we've formalized that and codified it with a couple technology announcements, certainly on the go-to market side, and then some offerings we've done as a service, so backup as a service. >> So let's talk about some of these technology announcements. Talk to us about the significance of the store wants, Commvault integration. Got a great deduplication appliance the store wants, now you're bringing Commvault to the scene, to the solution. What advantage does that bring the customer, first off? >> Yeah, so we have a couple specific integrations we've done. We have our primary all-flash arrays, Nimble and 3PAR, certainly within the Intellus Map umbrella. We've worked with them in the past. We've worked with Commvault recently to deliver some support for our deduplication algorithms. We have our, what we call catalysts. It's the ability to dedupe anywhere, right, within the data center and even outside the data center. So they support that. It really helps out with, certainly, high-speed performance for backup so you can meet those aggressive SLAs. We feel like we've got pretty differentiated technology on the dedupe side, so it helps our customers save in terms of the storage that they have on disk. And then the other big thing is that they've also integrated with Cloudbank, right, so it's our ability to store archived backup data for very, very long periods of time in either Azure or out in Amazon, and essentially using Commvault as the workflow and the catalog, and being able to plug into the ability for us to federate primary, secondary in the cloud is a pretty powerful integration for customers who might already have HPE, might already have Commvault, so it definitely brings a lot of value into that. >> Yeah, Patrick, we've seen a real maturation of that, really, the multi-cloud model in the last couple of years. It seems like that's a foundational piece of the partnership between Commvault and HP. What are you hearing from customers, and what differentiates this solution from others in the market? >> Yeah, so I mean, I think that secondary storage is one that's always rife for having a multi-cloud storage, whether it's people just wanting to do something like I don't want a secondary data center, I want to use the cloud. I want to replace tape. There's a number of different reasons why. I think the differentiation part comes in the technology that I talked about before and making that very seamless for customers and being able to move workloads out to the public cloud for the purposes of long-term data retention. The other key thing is that we're providing this to customers in completely as a service style. So not only from a technology perspective, but the way you consume it now. So we're able to provide primary, secondary, your Commvault solution, the Azure capacity, for example, advisory services, and we're all able to package that up on a per-terabyte or a per-metric basis that customers consume in an elastic manner, like you would the cloud. >> Yeah, HP was one of the first, forgive me if I say legacy, 78-year-old company, people automatically assume companies like AWS and even Azure move that way, but where have you seen customers and their readiness, both from a people standpoint as well as a procurement model for that model, and as I've said, HPE's one of the first ones, the big traditional players, that helped push that model. >> Yeah, so the desire's there. We pitched this every day, ever week, and it's got a lot of legs from a customer interest perspective. We are transacting, and we'll start to build our business and it helps us financially as well, too, right? 'Cause for us to offer those as a service, that's a reoccurring revenue, it's bookings, it's not just your traditional CAPEX hardware acquisition. So it helps us. And a little known fact is that HPE Financial Services, when you talk about an established company, we have a very, very high Net Promoter Score for HPEFS, and that's one of the capabilities that allows us to provide these really, really granular, flexible services for our customers. We've got a lot of things going at HPE. Being a more established, mature company with a very large install base. Not only technology piece, but the financial aspects of it is something we can offer as well. >> Patrick, talk to me about some of the advantages as a service, from an agility perspective. When I think of consuming HPE physical hardware on-prem through HP Financial Services, and I'm consuming this as a service, how does that enable agility for your customers? >> Well, it enables agility in the financial model, number one, so a lot of customers are asking us for as a service, subscription models, moving from CAPEX to OPEX. And not just an OPEX lease, right, 'cause that doesn't count anymore. The rules are changing. So what we're able to do is we provide an actual service. The customer hands over the architecture reins to us, so we have an established methodology of how we implement this, so no snowflakes. We can build on a wealth of experience we have with a number of other customers to be able to essentially deliver a number of outcomes. So it comes very agile in the fact that at the end of the day, secondary storage, some of the user stories are pretty mundane. They're very repeatable, right? And so if you hand that over to us, we're able to help you with that, not only financially but architecturally, and from our operations perspective, and you can focus your talent that you have in your organization on differentiation for your business, right? 'Cause backups, maybe at the end of the day that's not where you're going to hang your hat on your digital transformation as a customer, but it's certainly something you need. So we could both partner together on making that a better experience. >> Stu: All right, go ahead. >> What I was going to ask, what's the interface? How do customers consume these as a service solutions, whether it's the secondary storage or if it's a service living in the cloud? >> Mm, so we have a number of examples of these. So you take a look at a service that we have, for example HPE Cloud Volumes, right? It has a portal, you log in, you can put your credit card in, you can add, let's say, your cloud credentials into that as well, and then you are essentially off and running on dollars per terabyte, and you can scale that up, you can scale that down. So at the end of the day, we're really trying to provide an experience for customers that's very similar to the public cloud. And I think the other area that we've done, we've made some acquisitions in the space, Cloud Technology Partners, RedPixie, Cloud Cruiser, so not only on the being able to use the consumption methodology and the metering that we provide, but also the advisory services, is something that you get from HPE. You actually get to talk to people that know how to do this and have done it before and can help you arbitrate and make you very successful. >> All right, so Patrick, the last 18 to 24 months, the secondary storage space has just been buzzing, almost frothy if you will. >> Yes. >> Commvault's been around for 20 years. Five years ago, there wasn't the excitement in the space. There's the startups, there's companies like Commvault and Veritas and Veen who have established a customer base in there. Why do you see so much excitement there? Is it the new AI of availability? I've got plenty of background in the storage industry, where just data is so critically important that it's right there. What do you see? >> I see it as a massive shift in thinking from TCO to ROI, right? Five years ago, you were having conversation as how can I do this as cheaply as possible, right? It's a non-differentiation life insurance policy at the end of the day. Now it's all about what can I do to maximize the return on that data? And it could be things that are not super sexy, but test verification, sandbox labs, being able to provide copies of data for your developers to get a better experience and a better quality experience for their customers at the end of the day. There's a number of things that we've been able to unlock in the secondary storage area, and some people call it copy data management, hyperconverged for secondary storage, I mean, there's lots of different names and nomenclatures applied to it. But it's essentially, from what I see, people unlocking the value of that data where it used to be captured, siloed, untouchable, but now you've unlocked a number of possibilities for this data, and it's multi-use, right? It's the new currency. >> Yeah, we always argue, at the show, Commvault's saying that data is the new water, but Dave Alante, well water often is a scarce resource and something we all have to fight for. Data, the ability to unlock the data, is we can use it multiple times in lots of different ways, and the more I use the data, the more valuable it is, not like traditional resources. >> Yeah, and also, too, some of the big bats you've seen from HPE, certainly big investment on edge-centric computing as well, too. So our Edgeline, the build out of 5G, certainly the ubiquitous wireless networks that we provide with Aruba. So there's a huge amount of capability of either moving the process outside the data center, but that data's still data. It needs to be protected, you need to be able to use it, so I think we're just getting started in some of these areas, certainly around secondary storage. >> So, let's talk about value that DotNext brings to the mix. We're talking about some pretty advanced use cases, the edge, the data center, the cloud. Stitching this together isn't quite simple. Tell us about the DotNext story and how they helped extend the capability beyond just throwing zeros and ones. >> I think there's a lot of our folks that cover customers, account teams, sales folks that really ensure our customer success, they view this area as very rife for certainly advisory services. I think one of the things is that having the capability of doing this, you guys have seen in the past couple years, people have scaled back dedicated storage admins, right? Dedicated backup admins, unless you're in a very large shop, really don't exist. You've moved towards essentially hypervisor admins, generalist, right? So I think that our capability is we have those services, we have that expertise in-house, and for us to be able to provide very good reference architectures that touch all parts of the stack, because secondary storage is, it's not just selling an all-flash array, or some capacity-optimized disk. It touches everything. It's questions around what's your SLA, what are the apps, what are you trying to do? So for us, we have a wealth of resources and knowledge in this space, and bringing in companies like Cloud Technology Partners and RedPixie into our services organization, that gives us the ability to help customers make that move to hybrid cloud as well, too, which is very important. >> Yeah, Patrick, the other message we're hearing loud and clear from Commvault is the roadmap. There's a lot of automation. There's the intelligence. You talk about all those admins. It was funny, they put up all these roles up on the board in the keynote this morning, and all of them, really, were bots (laughs) underneath. >> Yeah. (laughs) >> Automation can do that. Have us look forward. How does the HPE roadmap and the Commvault roadmap, how much synergy with those visions? >> Yeah, so right now we're definitely running along some parallel lines. They'd probably fire me if I didn't get off-stage here without talking about InfoSight, because it's a huge investment for us. We think it's a huge opportunity. You guys have seen the proof in the pudding from that in terms of automated support, we've got predictive analytics now. So for us, the more that you can build in from an AI and ML perspective, we think the value is in a couple area. Certainly cross stack, so going all the way from the app down through the infrastructure, and we're providing that through InfoSight. And then we're also expanding some of the use cases to include things like secondary storage, right? So if you see, let's say we have a signature that we can see, right? A certain IO pattern, right? We'll make some predictive calls to the infrastructure to say hm, that looks like Ransomware. Maybe you should take a full clone of that and then encrypt it and shove it up in the cloud. Or the change rate on your database just elevated two orders of magnitude. Maybe I should think about moving some workloads that are adjacent to that off that system. So as we expand those and then allow that type of workflow to enable our partners as well, too, you can see where that value would head as well, too, where you start to integrate some of the telemetry from HPE, telemetry from a vendor and ISV partner like Commvault. You could do some really powerful things across the stack. >> All right, last thing for you, Patrick. You're going to be on the keynote tomorrow. Show us a little bit for our audience here what to expect from HPE. >> We talked a little bit about today, we're going to focus our talk tomorrow on some of the new consumption models, as as a service, and we're certainly going to highlight some of the things that we've done so far in AI and ML, certainly making the lives of our storage and data customers a lot easier, and a little bit of a vision as to where we're going with both of those two. >> All right, well Patrick, always a pleasure to catch up with you. Thanks for joining us, and look forward to catching up at the next event. >> Thanks for having me. >> All right, for Keith Townsend, I'm Stu Miniman. We'll be back with more coverage here from Commvault GO here in Nashville, Tennessee. Thanks for watching theCUBE. (upbeat electronic music)
SUMMARY :
Brought to you by Commvault. the home this week of Commvault GO with Keith Townsend. Love to be on theCUBE. 'cause it's the first time we've been here. So first impressions, love the fact talking to Chris Powell, the CMO of Commvault, and in the partner ecosystem What advantage does that bring the customer, first off? and the catalog, and being able to plug into the ability in the last couple of years. but the way you consume it now. and as I've said, HPE's one of the first ones, and that's one of the capabilities that allows us Patrick, talk to me about some of the advantages The customer hands over the architecture reins to us, and the metering that we provide, All right, so Patrick, the last 18 to 24 months, Is it the new AI of availability? and nomenclatures applied to it. Data, the ability to unlock the data, It needs to be protected, you need to be able to use it, the edge, the data center, the cloud. So for us, we have a wealth and clear from Commvault is the roadmap. How does the HPE roadmap and the Commvault roadmap, So for us, the more that you can build in You're going to be on the keynote tomorrow. of the things that we've done so far in AI and ML, always a pleasure to catch up with you. from Commvault GO here in Nashville, Tennessee.
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Patrick Osborne, HPE | HPE Secondary Storage for Hybrid cloud
>> From the SiliconANGLE Media Office in Boston, Massachusetts, it's theCUBE! Now, here's your host, Dave Vellante. >> Hi everybody, welcome to the special CUBE conversation on secondary storage and data protection, which is one of the hottest topics in the business right now. Cloud, multi-cloud, bringing the Cloud experience to wherever your data lives and protecting that data driven by digital transformation. We're gonna talk about that with Patrick Osborne, the Vice President and General Manager for big data and secondary storage at HPE, good friend and CUBE alum. Great to see you again. Thanks for coming on. >> Great, thanks for having us. >> So let's start with some of those trends that I mentioned. I think, let's start with digital transformation. It's a big buzzword in the industry but it's real. I travel around, I talk to customers all the time, everybody's trying to get digital transformation right. And digital means data, data needs to be protected in new ways now, and so when we trickle down into your world, data protection, what are you seeing in terms of the impact of digital and digital transformation on data protection? >> Absolutely, great question. So the winds of change in secondary storage are blowing pretty hard right now. I think there's a couple different things that are driving that conversation. A, the specialization of people with specific backup teams, right, that's moving away, right. You're moving away from general storage administration and specialized teams to people focusing a lot of those resources now on Cloud Ops team, DevOps team, application development. So they want that activity of data protection to be automated and invisible. Like you said before, in terms of being able to re-use that data, the old days of essentially having a primary dataset and then pushing it off to some type of secondary storage which just sits there over time, is not something that customers want anymore. >> Right. >> They wanna be able to use that data, they wanna be able to generate copies of that, do test and dev, gain insight from that, being able to move that to the Cloud, for example, to be able to burst out there or do it for DR activities. So I think there's a lot of things that are happening when it comes to data that are certainly changing the requirements and expectations around secondary storage. >> So the piece I want to bring to the conversation is Cloud and I saw a stat recently that the average company, the average enterprise has, like, eight clouds, and I was thinking, sheesh, small company like ours has eight clouds, so I mean, the average enterprise must have 80 clouds when you start throwing in all the saas. >> Yeah. >> So Cloud and specifically, multi-cloud, you guys, HPEs, always been known for open platform, whatever the customer wants to do, we'll do it. So multi-cloud becomes really important. And let's expand the definition of Cloud to include private cloud on PRM, what we call True Private Cloud in the Wikibon world, but whether it's Azure, AWS, Google, dot, dot, dot, what are you guys seeing in terms of the pressure from customers to support multi... They don't want a silo, a data protection silo for each cloud, right? >> Absolutely. So they don't want silos in general, right? So I think a couple of key things that you brought up, private cloud is very interesting for customers. Whether they're gonna go on PRM or off PRM, they absolutely want to have the experience on PRM. So what we're providing customers is the ability, through APIs and seamless integration into their existing application frameworks, the ability to move data from point A to point B to point C, which could be primary all-flash, secondary systems, cloud targets, but have that be able to be automated full API set and provide a lot of those capabilities, those user stories around data protection and re-use, directly to the developers, right, and the database admins and whoever's doing this news or DevOps area. The second piece is that, like you said, everyone's gonna have multiple clouds, and what we want to do is we want to be able to give customers an intelligent experience around that. We don't necessarily need to own all the infrastructure, right, but we need to be able to facilitate and provide the visibility of where that data's gonna land, and over time, with our capabilities that we have around InfoSight, we wanna be able to do that predictably, make recommendations, have that whole population of customers learn from each other and provide some expert analysis for our customers as to where to place workloads. >> These trends, Patrick, they're all interrelated, so they're not distinct and before we get into the hard news, I wanna kinda double down on another piece of this. So you got data, you got digital, which is data, you've got new pressures on data protection, you've got the cloud-scale, a lot of diversity. We haven't even talked about the edge. That's another, sort of, piece of it. But people wanna get more out of their data protection investment. They're kinda sick of just spending on insurance. They'd like to get more value out of it. You've mentioned DevOps before. >> Yep. >> Better access to that data, certainly compliance. Things like GDPR have heightened awareness of things that you can do with the data, not just for backup, and not even just for compliance, but actually getting value out of the data. Your thoughts on that trend? >> Yeah, so from what we see for our customers, they absolutely wanna reuse data, right? So we have a ton of solutions for our customers around very low latency, high performance optimized flash storage in 3PAR and Nimble, different capabilities there, and then being able to take that data and move it off to a hybrid flash array, for example, and then do workloads on that, is something that we're doing today with our customers, natively as well as partnering with some of our ISV ecosystem. And then sort of a couple new use cases that are coming is that I want to be able to have data providence. So I wanna share some of my data, keep that in a colo but be able to apply compute resources, whether those are VMs, whether they are functions, lambda functions, on that data. So we wanna bring the compute to the data, and that's another use case that we're enabling for our customers, and then ultimately using the Cloud as a very, very low-cost, scalable and elastic tier storage for archive and retention. >> One of the things we've been talking about in theCUBE community is you hear that Bromite data is the new oil, and somebody in the community was saying, you know what? It's actually more valuable than oil. When I have oil, I can put it in my house or I can put it my car. But data, the unique attribute of data is I can use it over and over and over again. And again, that puts more pressure on data protection. All right, let's get into some of the hard news here. You've got kind of a four-pack of news that we wanna talk about. Let's start with StoreOnce. It's a platform that you guys announced several years ago. You've been evolving it regularly. What's the StoreOnce news? >> Yes, so in the secondary storage world, we've seen the movement from PBBA, so Purpose-Built Backup Appliances, either morphing into very intelligent software that runs on commodity hardware, or an integrated appliance approach, right? So you've got a integrated DR appliance that seamlessly integrates into your environment. So what we've been doing with StoreOnce, this is our 4th generation system and it's got a lot of great attributes. It has a system, right. It's available in a rote form factor at different capacities. It's also available as a software-defined version so you can run that on PRM, you can run it off PRM. It scales up to multiple petabytes in a software-only version. So we've got a couple different use cases for it, but what I think is one of the key things is that we're providing a very integrated experience for customers who are 3PAR Nimble customers. So it allows you to essentially federate your primary all-flash storage with secondary. And then we actually provide a number of use cases to go out to the Cloud as well. Very easy to use, geared towards the application admin, very integrative. >> So it's bigger, better, faster, and you've got this integration, a confederation as you called it, across different platforms. What's the key technical enabler there? >> Yeah, so we have a really extensible platform for software that we call Recovery Manager Central. Essentially, it provides a number of different use cases and user stories around copy data management. So it's gonna allow you to take application integrated snapshots. It's gonna allow you to do that either in the application framework, so if you're a DVA and you do Arman, you could do it in there, or if you have your own custom applications, you can write to the API. So it allows you to do snapshots, full clones, it'll allow you to do DR, so one box to another similar system, it'll allow you to go from primary to secondary, it'll allow you to archive out to the Cloud, and then all of that in reverse, right? So you can pull all of that data back and it'll give you visibility across all those assets. So, the past where you, as a customer, did all this on your own, right, bought on horizontal lines? We're giving a customer, based on a set of outcomes and applications, a complete vertically-oriented solution. >> Okay, so that's the, really, second piece of hard news. >> Yeah. >> Recovery Manager Central, RMC, 6.0, right-- >> Yeah. >> Is the release that we're on? And that's copy data management essentially-- >> Absolutely. >> Is what you're talking about. It's your catalog, right, so your tech underneath that, and you're applying that now across the portfolio, right? >> Absolutely. So, we're extending that from... We've had, for the past year, that ability to do the copy data management directly from 3PAR. We're extending that to provide that for Nimble. Right, so for Nimble customers that want to use all-flash, they want to use hybrid flash arrays from Nimble, you can go to secondary storage in StoreOnce and then out to the Cloud. >> Okay, and that's what 6.0 enables-- >> Yeah, exactly. >> That Nimble piece and then out to the Cloud. Okay, third piece of news is an ecosystem announcement with Commvault. Take us through that. >> Yeah, so we understand at HPE, given the fact that we're very, very focused on hybrid Cloud and we have a lot of customers that have been our customers for a long time, none of these opportunities are greenfield, right, at the end of the day. So your customers are, they have to integrate with existing solutions, and in a lot of cases, they have some partners for data protection. So one of the things that we've done with this ecosystem is made very public our APIs and how to integrate our systems. So we're storage people, we are data management folks, we do big data, we also do infrastructure. So we know how to manage the infrastructure, move data very seamlessly between primary, secondary, and the Cloud. And what we do is, we open up those APIs in those use cases to all of our partners and our customers. So, in that, we're announcing a number of integrations with Commvault, so they're gonna be integrating with our de-duplication and compression framework, as well as being able to program to what we call Cloud Bank, right? So, we'll be able to, in effect, integrate with Commvault with our primary storage, be able to do rapid recovery from StoreOnce in a number of backup use cases, and then being able to go out to the cloud, all managed through customers' Commvault interface. >> All right, so if I hear you correctly, you've just gotta double click on the Commvault integration. It's not just a go-to-market setup. It's deeper engineering and integration that you guys are doing. >> Absolutely. >> Okay, great. And then, of course the fourth piece is around, so your bases are loaded here, the fourth piece is around the Cloud economics, Cloud pricing model. Your GreenLake model, the utility pricing has gotten a lot of traction. When we're at HPE Discover, customers talking about it, you guys have been leaders there. Talk about GreenLake and how that model fits into this. >> Yeah, so, in the technology talk track we talk about, essentially, how to make this simple and how to make it scalable. At the end of the day, on the buying pattern side, customers expect elasticity, right? So, what we're providing for our customers is when they want to do either a specific integration or implementation of one of those components from a technology perspective, we can provide that. If they're doing a complete re-architecture and want to understand how I can essentially use secondary storage better and I wanna take advantage of all that data that I have sitting in there, I can provide that whole experience to customers as a service, right? So, the primary storage, your secondary storage, the Cloud capacity, even some of the ISV partner software that we provide, I can take that as an entire, vetted solution, with reference architectures and the expertise to implement, and I can give that to a customer in an OpEx as a service elastic purchasing model. And that is very unique for HPE and that's what we've gone to market with GreenLake, and we're gonna be providing more solutions like that, but in this case, we're announcing the fact that you can buy that whole experience, backup as a service, data protection as a service, through GreenLake from HPE. >> So how does that work, Patrick, practically speaking? A customer will, what, commit to some level of capacity, let's say, as an example, and then HPE will put in some extra headroom if, in fact, that's needed, you maybe sit down with the customer and do some kind of capacity planning, or how does that actually work, practically speaking? >> Yeah, absolutely. So we work with customers on the architecture, right, up front. So we have a set of vetted architectures. We try to avoid snowflakes, right, at the end of the day. We want to talk to customers around outcomes. So if a customer is trying to reach outcome XYZ, we come with a recommendation on how to do that. And what we can do is, we don't have very high up-front commitments and it's very elastic in the way that we approach the purchasing experience. So we're able to fit those modules in. And then we've made some number of acquisitions over the last couple years, right? So, on the advisory side, we have Cloud Technology Partners. We come in and talk about how do you do a hybrid cloud backup as a service, right? So we can advise customers on how to do that and build that into the experience. We acquired CloudCruiser, right? So we have the billing and the monitoring and everything that gets very, very granular on how you use that service, and that goes into how we bill customers on a per-metric usage format. And so we're able to package all of that up and we have, this is a kind of a little-known fact, very, very high NPS score for HPE financial services. Right, so the combination of our point next services, advisory, financial services, really puts a lot of meat behind GreenLake as a really good customer experience around elasticity. >> Okay, now all this stuff is gonna be available calendar Q4 of 2018, correct? >> Correct. >> Okay, so if you've seen videos like this before, we like to talk about what it is, how it works, and then we like to bring it home with the business impact. So thinking about these four announcements, and you can drill deeper on any one that you like, but I'd like to start, at least, holistically, what's the business impact of all of this? Obviously, you've got Cloud, we talked about some of the trends up front, but what are you guys telling customers is the real ROI? >> So, I think the big ROI is it moves secondary storage from a TCO conversation to an ROI conversation. Right, so instead of selling customers a solution where you're gonna have data that sits there waiting for something to happen, I'm giving customers a solution that's consumed as a service to be able to mine and utilize that secondary data, right? Whether it's for simple tasks like patch verification, application rollouts, things like that, and actually lowering the cost of your primary storage in doing that, which is usually pretty expensive from a storage perspective. I'm also helping customers save time, right? By providing these integrated experiences from primary to secondary to Cloud and making that automatic, I do help customers save quite a bit in OpEx from an operator perspective. And they can take those resources and move them on to higher impact projects like DevOps, CloudOps, things of that nature. That's a big impact from a customer perspective. >> So there's a CapEx to OpEx move for those customers that want to take advantage of GreenLake. [Patrick] Yep. >> So certain CFOs will like that story. But I think the other piece that, to me anyway, is most important is, especially in this world of digital transformation, I know it's a buzzword, but it's real. When you go to talk to people, they don't wanna do the heavy lifting of infrastructure management, the day-to-day infrastructure management. A lot of mid-size customers, they just don't have the resources to do it anymore. >> Correct. >> And they're under such pressure to digitize, every company wants to become a software company. Benioff talks about that, Satya Nadella talks about that, Antonio talks about digital transformation. And so it's on CEOs' minds. They don't want to be paying people for these mundane tasks. They really wannna shift them to these digital transformation initiatives and drive more business value. >> Absolutely. So you said it best, right, we wanna drive the customer experience to focusing on high-value things that'll enable their digital transformation. So, as a vision, what we're gonna keep on providing, and you've seen that with InfoSight on Nimble, InfoSight for 3PAR, and our vision around AI for the data center, these tasks around data protection, they're repeatable tasks, how to protect data, how to move data, how to mine that data. So if we can provide recommendations and some predictive analytics and experiences to the customers around this, and essentially abstract that and just have the customers focus on defining their SLA, and we're worried about delivering that SLA, then that's a huge win for us and our customers. And that's our vision, that's what we're gonna be providing them. >> Yeah, automation is the key. You've got some tools in the toolkit to help do that and it's just gonna escalate from here. It feels like we're on the early part of the S-curve and it's just gonna really spike. >> Absolutely. >> All right, Patrick. Hey, thanks for coming in and taking us through this news, and congratulations on getting this stuff done and we'll be watching the marketplace. Thank you. >> Great. Kudos to the team, great announcement, and we look forward to working with you guys again. >> All right, thanks for watching, everybody. We'll see you next time. This is Dave Vellante on theCUBE. (gentle music)
SUMMARY :
From the SiliconANGLE Media Office Great to see you again. It's a big buzzword in the industry but it's real. So the winds of change in secondary storage for example, to be able to burst out there So the piece I want to bring to the And let's expand the definition of Cloud the ability to move data from point A to point B So you got data, you got digital, which is data, of things that you can do with the data, So we have a ton of solutions for our customers It's a platform that you guys announced So it allows you to essentially federate What's the key technical enabler there? primary to secondary, it'll allow you to Okay, so that's the, really, second piece across the portfolio, right? We're extending that to provide that for Nimble. That Nimble piece and then out to the Cloud. So one of the things that we've done that you guys are doing. Talk about GreenLake and how that model fits into this. and I can give that to a customer in an OpEx and build that into the experience. of the trends up front, but what are you guys and actually lowering the cost of your primary So there's a CapEx to OpEx move for those have the resources to do it anymore. and drive more business value. the customer experience to focusing on Yeah, automation is the key. this stuff done and we'll be watching the marketplace. and we look forward to working with you guys again. We'll see you next time.
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Patrick Osborne, HPE | VMworld 2018
>> (narrator) Live from Las Vegas, it's the Cube, covering VMWorld 2018. Brought to you by VMware and its ecosystem partners. >> Welcome back to Las Vegas everybody. You're watching the Cube, the leader in live-tech coverage. My name is Dave Vellante and I'm here with my co-host, David Floyer. Good to see you again David. VMWorld day three, wall to wall coverage. We got sets going on. 94 guests. Patrick Osborne is here, he's the Vice President of Big Data and Secondary Storage at Hewlett Packard Enterprise. Patrick, it's great to see you again. >> Always a pleasure to be on the Cube. >> Big quarter, Antonio Neri early into his tenure. >> Yes. The earnings, raise guidance, great to see that. Got to feel good. Give us the update, VMworld 2018, what's happening with you guys? >> So Q3 was bang up quarter, for all segments of the business. It was great, you know. Obviously it's the kind of earnings you want to have from a CEO in a second quarter. Steering the ship here. I think everyone's jazzed up. He's brought a lot of new life to the company, in terms of technology leadership. He's someone who's certainly grown up, from the grounds up, starting off his career at HPE. So for us who have started off as a Product Manager, an individual contributor, making your way up to CEO is definitely possible. So that's been great and I think it's favorable micro economics and we're taking advantage of that. VMworld's been awesome. I think this whole story around Multicloud and obviously we talk about hybrid IT at HPE, so it fits very well. VMware Technology, partner of the year, again. Four years running, so it's been a really good show for us. >> As last year, data protection is the single, hottest topic. Data protection, obviously Cloud, The Edge, but The Edge is kind of new and it's hot, it's sexy. But in terms of actual business that's getting done, companies that are getting funded, companies getting huge raises, throwing big parties. We saw you back to back nights at Omnia, it's a lot happening in data protection. HPE has got a whole new strategy around data protection. Maybe talk about that a little bit and how it's going. >> So it's going really well, like you said, that part of the market, it's pretty hot right now. I think there's a couple of things playing into that, certainly this new style of IT, like applied to secondary storage. We saw that with primary storage the last few years. Multicloud, the move to all flash, low-latency workloads. And then, certainly a lot of the things, in that area, are disrupting secondary storage. People want to do it different ways, they want to be able to simplify this area. It's a growing area for data, in general. They want to make that data work for them. Test, Dev, workload placement, intelligent placement of data, for secondary and even tertiary storage in the cloud. So a lot of good things happening, from an HPE perspective. >> So not just back up? >> No, not just back up. >> I want more out of my insurance policy. >> Exactly. Something in the past that was moving from purely a TCO type of conversation. My examples are always like, who likes to pay their life insurance premium, right? Because at the end of the day, I'm not going to derive any utility from that payment. So now, it's moving into more ROI. So we have things like, the Hybrid Flash Array, from Nimble, for example. It allows you to put your workloads to work. We have a great cloud service, called HPE Cloud Volumes, that we use for our customers to be able to do intelligent DR, as a service, and be able to apply Cloud compute to your data. So there's a lot of things going on, in the space, that's just outside of your traditional move data from point A to point B. Now you want to make it work for you. >> And what about the big data portfolio? You hear a lot about data. You don't hear a ton about the Big Data, Hadoop piece of the world. I know Hadoop, nobody seems to be talking about that anymore. But everybody's talking about AI, Machine-Learning, Deep-Learning. Certainly The Edge is all about data. What's the Big Data story? >> So at HPE, we're definitely focused on the whole Edge to Core analytic story. So we have a great story and you can see in the numbers from Q3, The Edge business, The Edge line servers, Aruba, driving a lot of growth in the company, where a lot of that data is being created. And then back into the Core, so for Big Data, we see a number of customers, who are using these tools to affect digital transformation. They're doing it, we're doing it to ourselves. So they're moving from batch oriented, to now fast data, so streaming analytics. And then, incorporating concepts of AI and ML to provide better service or better experience for their customers. And we're doing that with, for example, InfoSight. So we have a great product, Nimble, 3PAR. And then we provide a service, on top of that, which is a SAS based service. It has predictive analytics and Machine Learning. And we're able to do that, by using Big Data analytics. >> You're offering that as a service, as a SAS service to your customers? >> Absolutely. And the way we're able to provide those predictive analytics and be able to provide those recommendations and that Machine-Learning across a entire portfolio and be able to scale that service, because it's a service, we got tens of thousands of users using the service on a daily basis, is moving from an ERP system, data warehouse, to batch analytics, to now we're doing Elasticsearch and Kafka and all these really cool techniques, so it's really helped us unlock a lot of value for our customers. >> So, the Nimble acquisision is interesting, it's bringing that sort of Machine-Learning and AI to infrastructure. You got a lot of automation in the portfolio and you can't really talk about Cloud without talking about automations. So talk a little about automation. >> In particular, even at the show here this week, we are a premier technology partner with VMware and I think more that you see in the VMware Ecosystem is all around Cloud and automation. That's really where they're going. And we've been day-zero partners on a lot of different fronts. So VMware Cloud Foundation integration, we do things on the storage level with Vvols and SRM and all these things that allow customers to essentially program that infrastucture and get out of the mundane tasks of having to do this manually. So for us, automation is key part of our story here. Especially with VMware. >> So going a little bit further with that, what sort of examples, what benefit is this to your customers? How are they justifying putting all this in? >> It's a hybrid world, so our customers are going to expect, from us, as a portfolio vendor, the ability to provide an automated solution, on premises, as automated as what you'd get in the cloud. So for us, the ability to have a sourcing experience, that we call GreenLake, so you can buy everything from us, from a solution perspective, in a pay-as-you-go elastic model where you can flex-up, flex-down. And then being able to, essentially provide a different view, depending on what persona you're coming from. Obviously we've been focused on the infrastructure persona, more often, we're getting into the DevOps persona, the Cloud engineer persona, providing all of our infrastructure, whether it's computer networking or storage, that plugs into all these frameworks. Whether it's Ansible, Chef and all these things that we do around our automation ecosystem, it's pretty ubiquitous. >> You're touching on all the Cloud basis and you're seeing a lot of discussion around that. What are you hearing from customers? Sometimes we have to squint through this, a lot of the guys here, we always like to say, move at the speed of the CIO, which sometimes is slow. At the same time, they're all afraid they're going to get disrupted. HPE, over the last two or three years, has really brought in and partnered with some of the guys your talking about. Whether it's containers and companies that do those types of offerings. How fast do the customers actually adopting, where they adopting them, how are they handling, you talked about a hybrid world; How are they bridging the old and the new? >> That's a great question. For a lot of our customers, it's always a brown field conversation. You do have these mission critical workloads that have to run, so there's no Edge to Core without your core ERP system, right? Your Core Oracle System or for smaller customers that are running their businesses on SQL and other things. But what we're seeing is that, by shoring up that Core and we provide a set of services and products that we feel are the best in the industry for that. And then allow them to provide adjacent services on top of that, it's exactly like the same example we had with InfoSight, where those systems use to call home, right now we're taking that data, we're providing a whole ancillary set of services and functions around it and our customers are doing that. Enormous customers, like British Telecom, folks like Wayfair, for example, they're doing this on premises and their disrupting their competitors, in the mean time. >> What do you make of some of the announcements we've heard this week? Obviously VMware making a big deal with what's going on with AWS. We're seeing AWS capitulate, David Floyer you made the call. Got to have an on-prem strategy. Many said no, that'll never happen. They just want to sweep the floor. So that's a tip to the hybrid cap. What are your thoughts on what's going on there? How does HPE sort of participate in those trends? >> I'd say it's, instead of battle and capitulate, we've been very laser-focused on the customers and helping them, along their way, on the journey. So you see a lot of acquisitions we've done around services, advisory service. CTP is a perfect example. So CTP has a whole cadre of experts who understand AGER, who understand ECS and all the services and functions that go along with them And we're able to help people, right size, right place, whatever you want to call it, within their infrastructure. Because we know, we've been in business for 75+ years and have a very loyal customer base, and we're going to help them along their maturity curve and certainly everyone's not on the same path, in the same race. It's been pretty successful so far. >> You guys tend to connect the dots between your HPE Discover in U.S., in Las Vegas and HPE Discover in December. So June to December, you're on these six month cycles, U.S. focus and Europe focus, Decembers in Madrid, again. Second year of Madrid. U.S. is always Vegas, like most of these conferences, what's the cadence that your on? What was the vibe like at Discover? What should we expect leading up to Q4, calendar Q4 in Madrid? >> I'd say that Discover was a big success in Vegas, always fun to spend time here. In Madrid, you'll see a focus around the value part of our business. So we've been growing in automation, we talked about hybrid IT, certainly the Core around storage. We're really focusing and very heavily invested in, not just storage, but intelligent data management. So we really feel that our offerings, especially doubling down and offering more services around InfoSight and some of those predictive and Cloud-ready user stories for our customers is something that definitely differentiates ourselves in the market. So we'll be very focused on the data plan, the data layer and helping customers transform in that area. >> So let's talk some tenor sax. >> (David laughs) >> This is not New Orleans. When we were down in New Orleans, we were at VeeamON, I think you had your sax with you, you jumped in. >> That's right, I played with the Soul Rebels. >> Playing with the Soul Rebels, you were awesome. Leonard, a big jazz man. Love it. I'm a huge TOP fan. What's new in that world? Are you still active? Are you still playing? >> Yeah, the band's still playing. Shout out to my buddies in Jolpe, sitting in with some friends at a Dead cover band coming up, in a couple weeks. So, should be fun. We're going to reenact The Grateful Dead and Branford Marsalis. >> That's wonderful. >> It should be fun. >> We've been getting a big dose of hip-hop this week. >> Yeah. But the new thing is that, in hip-hop, it's getting back to it's original roots, so a lot of folks in the jazz world, collaborating with the folks in the hip-hop world, so not very commercial, definitely underground, but pretty cool. >> I love it. That's right Leonard, you pointing out Miles Davis was one of the first to make that transformation. >> Yeah >> Good call. >> I'm going to get the numbers wrong, but it's about five percent technique and 95 percent attitude. (multiple laughs) >> Jazz, like hip-hop, there's a lot guys just doing their own thing. And somehow it all comes together. >> Absolutely. >> Okay Patrick, great to see you. >> Great to see you guys. Thank you Dave. Yeah, good to see you guys. >> Always a pleasure, go Sox. >> We got some time for talk stocks? >> Alright. >> What do you think? It's getting a little nerve wrecking. >> #Bucky Dent is trending in my Twitter. That's my problem, so hopefully we can..., I definitely don't want to be limping into the playoffs, and still not a fan of this one team wild card playoff, but I think we'll be alright. >> If we go deep... It's a great time to be a Boston fan. >> Celtics. >> Football starting, Celtics are coming in November, so awesome. Great to see you man. >> Thanks for having me. >> Keep it right there everybody, we'll be right back with our next guest. You're watching the Cube, live. Day three at VMWorld 2018, we'll be right back. (techno music)
SUMMARY :
Brought to you by VMware it's great to see you again. Antonio Neri early into his tenure. great to see that. and obviously we talk and how it's going. and even tertiary storage in the cloud. and be able to apply Cloud compute What's the Big Data story? and you can see in the numbers from Q3, and be able to provide and AI to infrastructure. and get out of the mundane tasks the ability to provide a lot of the guys here, and products that we feel are the best So that's a tip to the hybrid cap. and all the services and functions that go along with them So June to December, in the market. I think you had your sax with you, I played with the Soul Rebels. Are you still active? the band's still playing. a big dose of hip-hop folks in the hip-hop world, you pointing out Miles Davis I'm going to get the numbers wrong, And somehow it all comes together. great to see you. Great to see you guys. Always a pleasure, What do you think? and still not a fan of this It's a great time to be a Boston fan. Great to see you man. with our next guest.
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Patrick Osborne, HPE | VeeamON 2018
(upbeat electronic music) >> Announcer: Live from Chicago, Illinois, it's theCUBE, covering Veeamon 2018. Brought to you by Veeam. >> Welcome back to Chicago everybody, the Windy City, you're watching theCUBE, the leader in live tech coverage and we're here day two at Veeamon 2018, theCUBE's second year doing Veeamon, and I'm Dave Vellante, with my cohost, Stu Miniman. Patrick Osborne is here, the newly minted VP and GM of big data and secondary storage. >> And CUBE alumni. >> HPE and many time CUBE alumni, did you get a sticker? >> Yeah, it's already on my laptop. >> Oh, awesome, great to see you again. >> Good to see you guys. >> Thanks so much for coming on, always fun at Veeamon. >> Yep. >> They have a big presence. Your show, HPE Discover, they painted the Chi-Town green. >> Patrick: Yep. >> What's going on at the show for you guys? >> So a huge partner for us, in our ecosystem, as you guys know, HPE and the world of virtualized workloads, like, you know, we definitely own the space in terms of the number of Veeams sitting on our infrastructure and they are a great partner. You know, we've got thousands of customers, and I think what we're seeing, too, is that as Veeam grows up into the midsize and enterprise space, that is, you know, that's where our wheelhouse is. And so we're getting a lot of customer interactions in that space, and then, with some of our offerings around Nimble and SimpliVity, where they play very well in the commercial segments, that's a great way for us to go grab new logos, be present in the channel. So it's a really good partnership for us on both ends. >> I definitely want to understand what's going on in big data, but before we get there, let's talk a little bit about secondary storage and your point of view there. We know that data protection is moving way up on the list of CXO priorities, we also know there's a dissonance in the customer base, between the expectations of how much automation is actually there from the line of business, versus what IT can deliver. >> Patrick: Yeah, yeah. >> And so there's this gap and now you have multi-cloud coming on in a big way, digital transformation, and so it feels like backup and recovery and data protection is transforming. Throw in security and it even complicates it further. What's your point of view on what's going on in this mix? >> Well, certainly the sands are shifting in the secondary storage market. I think because of a heightened customer expectation in this area, whether it's, you know, I want to do more with my data, running things that we do at Veeam, like test data, automation, Sandboxing, security, you know, ransomware. All those are higher level data services than just what people were doing in the past around backup and recovery. So for us, we're really focused a lot on automation right in this space. The death of backup and recovery in that traditional space is essentially caused by comPlexxity, right? So automate or die in this space, nobody wants to deal with backup, right? What you want is outcomes, and what we're doing is, for our product line, we've got sort of this three-tiered mantra, of predictive, cloud-ready and timeless. So we want to be able to, through platforms like InfoSite, be able to heavily, heavily automate all those activities. Cloud-ready, because, you know, as we talked before, it's a hybrid world. People, especially in secondary storage, want to have some data on-prem, and certainly a lot of it for archival and retention off-prem. And then, timeless is sort of this scenario around, even though I'm operating a data center, I want the purchasing experience to be elastic, and like, again, the cloud, right? So consumption-based as a service. So that's what we're trying to bring to the market for secondary storage and storage in general. >> Dave: Awesome. >> Patrick, as I look at this space, you talk about that hybrid, multi-cloud world that we talked about. The two big, main things are data and my applications. So you talked a bit about the data, connect for us, kind of the applications and things, cloud native and 12 factor microservices, versus traditional applications. And you've got that whole spectrum, what are you seeing from your customers and how are you helping them? >> Yeah, so, we're definitely seeing a lot of the tech leading customers in the enterprise from HPE, you know, the big logos, right? They're out there disrupting themselves, disrupting industry, are massively betting on analytics, right? So, they've moved certainly from databases to batch now, it's all, you know, I think people call it fast data, streaming analytics, Kafka, Spark. So we're seeing, that part of our business that HPE's growing, like, non-sequentially, right? So it's really good business for us. But what's going on right now, is that the customers who are doing this, these are all net new apps. Kubernetes, you know, new styles of application, it's not a rip and replace, it's more of an augmentation scenario, where you're providing new services on top of existing apps. So that is very new and I think one of the things we'll see over the next couple of years is, how do I protect those workloads? How do I provide multi-cloud for them? So it's an interesting space, it's very nascent, a lot of tech-heavy investment going on for the, you know, the big players in the market. But that's going to have a long tail into the mid range. >> How will the data protection architecture sort of change for those new emerging applications? You know, maybe IoT is another piece of that. And maybe, where does your partnership with Veeam fit into that? >> Yeah, so we are having a number of strategy discussions on that this morning, you know. And I think that space is, you know, there's a lot of identification that has to go on. Do I want to back it up, do I care? Right, are those persistent streams? Or that IoT data that's coming in, do I really have to back it up at the end of the day or can I back up the results? So, a lot of it is not just an availability issue, it's certainly a data management issue. But a lot of the tools that we would need to do that, today, they're focused on bare-metal, VM wear, virtualization, a lot of stuff that hasn't been written yet, right? So I think there's a lot of actual tech development that has to go on in this space and I think we're kind of poised together as partners to deliver in that area the next couple years. >> You guys have this tagline, "We Make Hybrid IT Simple." >> Patrick: Yes. >> IT, you know-- >> Patrick: Very quantifiable. >> It ain't simple. (laughter) So, where does storage fit into that equation? >> Yeah, the stats that blow my mind was, I think IBC came out with this, was that there's essentially around 500 million apps in the data center today. And then, in any sort of spectrum of bare-metal, being virtualized, maybe being containerized, in the next four years there's going to be 500 million net new apps, right? So that's like, it's mind blowing, in terms of, most people have a flat budget, maybe a little increase. So you think that you're doubling the amount of apps you have and all the services around it. So for us, the automation piece is absolutely key, right? So anything we can do with InfoSite as a platform, we're going to be extending that to other products, you see we've done it for 3PAR, we'll be bringing that experience. But anything we can do around automation, analytics, that's going to take a lot of the mystery and comPlexxity out of managing these apps and services, I think is a win for the customers, and that's why they're going to buy into the platforms. >> Yeah, it's like, imagine if you're a young family, you've got two kids and you have twins. >> Patrick: Yeah. (laughter) >> Uh-oh. (laughs) >> Or you decide to have two more, like I did. (laughter) >> Patrick, we've been talking about intelligence in the storage world for decades. >> Yes. >> Why is it real, you know, more real and different now, than it was in some of the previous generations? >> Yeah, I think, you know, some of the techniques... So, we've had systems that have called home and brought telemetry home forever, right? But I think what's going on is that, as you take the tools that we've developed, and a lot of them are new, right, that are allowing you to do this, it's the practition of the data science, which is like the key, at the end of the day. InfoSite is an amazing piece of technology, a lot of the magic is in the way that you set up your teams, and to be able to take that on, right? So, it's no longer a product manager, an engineering guy, support person in a different organization, right? What we have is what's called a peak team, right? Which just takes all the functions, brings them together with a data scientist, to be able to take a look at, how can I do machine learning, AI, a more predictive model, to actually take use of this data, right? And I think the techniques and the organizational design is the big change that's happened over the last couple of years. Data's always been there, right? But now we know what to do with that. >> Yeah, and like you said before, the curve is reshaping, it's not this linear Moore's Law curve anymore. >> Patrick: Yeah. >> It's this exponential curve. >> Patrick: Exactly. >> I can't even draw it anymore you know, it used to be easy, just put the dotted line straight out, now it's twisting. So, that increases the need obviously, for automation. Now talk about how HPE's automation play is differentiable in the marketplace. >> So I think a couple of things from a differentiated perspective. Obviously we talked a lot about InfoSite as a platform, as a portfolio company, we're definitely trying to take out the friction, in terms of the deployment and automation of some of these big data environments. So our mission is to be able to, like you would stand up some analytic workloads in the public cloud, to provide that same experience, on-prem, right? And essentially be the broker for that user experience. So that's an area that we're going to differentiate, and then, you know, in general, there's not that many mega portfolio companies, right, anymore. And I feel like, that we're exploiting that for our customers, bringing together compute networking and storage. And certainly on the automation side. So you know, for us, I really feel that you're no longer going to be buying on horizontal lines anymore. You know, best of breed servers, best of breed networking, best of breed storage, but bringing together a complete, vetted stack for a set of workloads, from a vendor like HPE. >> Yeah, and it was just announced, the deal's not closed yet, but just to mention to the audience, HPE just made an acquisition of Plexxi, a networking specialist-- >> Patrick: Yeah, a good friend, too, Rich Napolitano. >> Rich Napolitano. Just this week, which is interesting, because that brings cloud scale to some of the hyperconvergence infrastructure. It's essentially hyperconverge networking, so really interested to see how that plays out. HPE has made a number of really effective acquisitions over the last several years, starting really with 3PAR, was the one. Clearly Aruba, you know, the Nimble acquisition, you know, SimpliVity, so, SGI. So some really strong, both tactical and strategic moves for HPE, really interested to see how Plexxi sorts out. Okay, we got to talk sports for a minute. I asked Peter McKay this question, I asked his boss, some sports fans, if you were Robert Kraft, would you have traded Tom Brady? >> (sharp inhale) No. >> No way? >> No way, no way. >> Okay, that's consistent with McKay. >> Yeah, no way, that's like trading Montana, that didn't work out. >> That did work out, right? They traded Montana, then they won another Superbowl. >> Yeah, I know, I mean, I think, for me, he's an icon and then he's still operating at maximum efficiency, which is amazing, but I think he got a lot of legs in him. >> What do you think of the... Well hopefully he stays, hopefully he does play 'til 45. What do you think of the Garoppolo trade, though? Are you disappointed that they didn't get more, or do you think it was the right move to hang on, just in case Brady went down again? >> I think it's the right move at the end of the day, right? You're not going to get much from him anyways, and they're certainly not going to pay him out as a backup quarterback. What I don't like, though, is the fact that he's gone to the 49ers, and that's where most of my engineering team is in the Bay Area. So, to have to deal with yahoo 49ers fans, you know, for the next couple years, is going to be painful. But it's good, it's a good renewed rivalry. >> So you're not a-- >> Celtics, Warriors, you know, Patriots, Niners. >> You're not an instant transplanted 49ers fan, because of Garoppolo, right? >> Patrick: No, absolutely not. >> He's a carpet-bagger, right? >> He's out, he's off the team, he's out of the house. >> I love it, okay, Bruins were a big disappointment this year. >> Yeah, yeah. >> We thought that, you know, the Celtics were super exciting, let's go there, I mean. You know, you watched the Celtics early in the year, 'cause your like, after Hayward went down, you're like, kind of' we were all walking around like this. And then you-- >> I felt like, it's like where Kennedy was shot, right? I know exactly where I was, right? >> Right, and you had people blaming Danny Ainge for, like, making a move, I'm like, come on, guys. And you see what happened with the young players, and then they sort of tailed off a little bit, they were struggling, you know, Ky was trying to find his way and now they're the exciting team. Up to on Cleveland, I mean, you got to believe that Lebron is going to step up his game with a little home cooking. But let's assume for a second that they get by Cleveland (laughs) which will be a huge task. I mean, I don't think there's anybody in the NBA who can stop Kevin Durant, but I'd love to see Marcus Smart try. >> So two things in that scenario. One is that, who needs Kyrie Irving more right now, Cleveland or Boston, right? (laughter) Which is amazing, can you imagine saying that a couple months ago? It blows my mind. And then, for me, it's a revamping of the NBA, right? If you get the Celtics versus the Warriors in that style of play, I mean, it's definitely, it's changed the whole game, right? Shooting guards, ballers, I think it's fantastic to see, you know, a whole new style of play in the NBA. >> It's so exciting to see the Celtics back in. >> Team basketball, defense, passing, all of it, it's great. >> And ESPN is losing their minds, they don't know what to do. Stephen A Smith doesn't know what to say. >> Patrick: ESPN Live. >> He's actually pissed I think, yeah. (laughter) So, now, Stu, you're a Yankees fan, of course, and you know my line on the Yankees. Stu's kind of a weekend Yankees fan. My line on the Yankees is, that sucks you can't beat us in April. (laughs) Here it is in May. >> Dave, I'm just quiet around you, because I know where my paycheck comes from. >> I appreciate that perspective, Stu, okay. >> Patriots win, we're in agreement. >> Think about all these renewed rivalries, it's great. Celtics, Sixers, Red Sox, Yankees, it's unbelievable. >> And like I said, San Francisco-- >> Patrick: Phillies! >> And the Pats. >> The Pats! >> Well Patrick, always a pleasure seeing you, thanks for making time out of your busy schedule. >> Yeah, absolutely, it was great. >> For coming on theCUBE. Alright, keep it right there everybody, we'll be back with our next guest, right after this brief break. You're watching theCUBE, Live from Veeamon 2018. (upbeat electronic music)
SUMMARY :
Brought to you by Veeam. Patrick Osborne is here, the newly minted VP and GM Your show, HPE Discover, they painted the Chi-Town green. and enterprise space, that is, you know, in the customer base, between the expectations of how much And so there's this gap and now you have multi-cloud in this area, whether it's, you know, So you talked a bit about the data, it's all, you know, I think people call it fast data, And maybe, where does your partnership And I think that space is, you know, So, where does storage fit into that equation? So you think that you're doubling the amount Yeah, it's like, imagine if you're a young family, (laughs) Or you decide to have two more, like I did. in the storage world for decades. a lot of the magic is in the way that you set up your teams, Yeah, and like you said before, the curve is reshaping, I can't even draw it anymore you know, it used to be easy, So our mission is to be able to, like you would stand up Patrick: Yeah, a good friend, too, Clearly Aruba, you know, the Nimble acquisition, that didn't work out. That did work out, right? Yeah, I know, I mean, I think, for me, What do you think of the... So, to have to deal with yahoo 49ers fans, you know, I love it, okay, Bruins were a big disappointment We thought that, you know, Up to on Cleveland, I mean, you got to believe that Lebron you know, a whole new style of play in the NBA. And ESPN is losing their minds, and you know my line on the Yankees. because I know where my paycheck comes from. Celtics, Sixers, Red Sox, Yankees, it's unbelievable. thanks for making time out of your busy schedule. we'll be back with our next guest,
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Patrick Osborne & Bob Moore, HPE | HPE Discover 2017 Madrid
(upbeat music) >> Announcer: Live from Madrid, Spain, it's theCUBE. Covering HPE Discover Madrid 2017. Brought to you by Hewlett Packard Enterprise. >> Hi everybody, welcome to Madrid, Spain. My name is Dave Vellante, and this is theCUBE, the leader in live tech coverage. We're here, this is day one of HPE Discover Madrid, the European version of the event that we cover in the summer, in the spring, in Las Vegas. I'm here with my cohost, Peter Burris, and Bob Moore is here, he's the director of server software and product security at HPE, and he's joined by good friend Patrick Osborne, who runs product marketing and management for the storage group at HPE. Gents, welcome to theCUBE. >> Good to be here, Dave, Peter. >> Yeah, very happy to be here. >> Dave: Always good to see you Did you bring your sax? >> Not this time, my friend. (laughing) >> We had a lot of fun. Where were we in New Orleans last year? >> Oh yeah, it was great. >> And you're an awesome sax player, we love it, big fan, and you're a bass player, we got more sax, more horns over there. So, I digress. >> Patrick: You need a CUBE band (laughing) >> We need a CUBE band. >> Bob, we talked this spring in Las Vegas, you guys made a big deal about the silicon-level security, you made some innovations there. Give us the update on why, again, that's so important, and how that's been received by customers. >> Yeah, well I think, answer the second part of the question first, it's really resonating pretty well with customers. Honestly, as we get to them, and we describe the level of cryptography we have, down right into the hardware, the firmware, down into our silicon, those customers that are concerned with security, and frankly, all customers are now, really does resonate with them pretty well. And the reason that it's important is because tying all of that security down into a bedrock foundation provides that ability to then leverage in or pull in other objects like storage and provide that security without any increase in latency but also the access and the shared access, being able to do that across multiple platforms, do it securely, and have that sharing capability like we all need to have to keep our IT infrastructure running. So it's really critically important, still, to this day, HPE is the only server manufacturer that's able to do that down into the silicon level that we're talking about here. So we're quite proud about that. And it's allowed us to claim the world's most secure industry standard servers and now, of course, today we're branching out with other technologies across our storage platform and including those into our security strategy. >> So, how does it, Patrick, relate to what you guys are doing on the storage side? >> Yeah, so I think it's a really good complementary solution and the fact that we can provide the silicon root of trust on the infrastructure level, and then on the storage side, we provide some similar capabilities at the infrastructure level, with encryption and other techniques that we have, and then, we assist customers in being able to, in a number of different cases, being able to take, for example, snapshots in backup, move those offsite, or even into the cloud, encrypt those, so you have essentially a silicon-rooted trust on the infrastructure side for your operating system and your firmware. And then you have essentially a golden image at a point in time of your data, which is a pretty valuable asset. So combine those two, we're able to help customers with a pretty aggressive RTO, and RPO, to be able to recover, if they'd been breached, or when they get breached, essentially. So we have some great examples here today in the show, of some customers that have used combinations of things like, the Gen10 servers, 3PAR, and StoreOnce, to achieve that level of recovery, in, not days, in, basically in hours, or even faster. And then we have some other technologies where you can set up a media break, essentially send all that data out to the cloud, and completely have a self-contained, encrypted copy of your data to recover from. So we're providing a number of different solutions, all the way up and down the stack for customers to be able to help to recover very quickly. >> So obviously security's been in the news lately, the huge Equifax breach, you go back to the spring, WannaCry, and ransomware, >> Patrick: Yep. >> So let's talk about ransomware specifically. How do you guys help a customer sort of address that. What's the, there's no silver bullet. You hear talk about air gaps, you guys are talking about >> Patrick: Right. >> silicon-level security, What's the prescription for customers? >> Well, I'm glad you asked that, because ransomware really is on every customer's mind these days. And it is, because it's gone up, ransomware is so lucrative and profitable, it's gone up by 15 full, 15 times in the last two years, to the point where it's cost companies five billion dollars in 2017, and by 2019, a company will be infected by ransomware every 14 seconds, so it's just really huge. And not only, and we don't encourage paying the ransom, but the ransom, if you paid it, would be expensive, but the downtime that you experience in recovering can be really expensive for companies as well. So this ability to recover from ransomware, or ransomware neutralizer, which is what we're talking about and announcing here today, is really new and a revolutionary way to recover in a systematic, orderly fashion, starting with the firmware that we talked about, that's anchored down in the silicon, so we recover that firmware, in case that ransomware malware virus has migrated. Because the hackers are getting so incredibly ingenious these days, that that malware can hide inside the firmware and will go everywhere, the tentacles will go everywhere, but we start the recovery with a firmware so you've got that firm foundation, routing out any remnants of the malware. And then on top of that, new today, we're announcing the fact that we can then recover the server settings that take days, sometimes weeks to set up initially, and that'll be recovered and restored automatically. Then we restore the operating system through an ISO site, along with the applications and then finally, we bring the data back, as Patrick was mentioning, we do that relatively quickly. We're demonstrating that here this week at Discover Madrid. And it really does allow customers to avoid having to pay the ransom, we want them to be able to recover, do it quickly and easily, without paying the ransom, and that's what we help. >> But you mention the word "trust," which is one of the most increasingly important words in the tech industry. We're in Madrid, GDPR is going to start moving in into a force in the first quarter of next year. >> Bob: May 2018. >> So, second quarter. And it's going to create some fair amount of attention, not just here in Europe, but on a global basis. I was talking to an expert who suggested that if the Equifax breach had occurred in Europe, under GDPR, it would not have been just embarrassment, it would have been about 60, 70 billion dollars worth of funds. >> Bob: Right. >> So we're talking not just about nice things to have, we're talking about, over the course of the next five years, you have to have this level of capability inside your infrastructure, or you will be out of business. >> I think it's true, absolutely. The GDPR, the penalties associated are so severe with that, up to 20 million dollars, or four percent of the annual revenue of the parent company, so it can just be massively impactful, financially impactful, hurtful to the companies. We're talking today, and this week, about GDPR, and how we help companies get ready for that, and you mention the Equifax breach, actually, we have, with our HP Gen9 and Gen10 solutions server networking and storage, applied the NIST 800-53 controls to that, and if they had applied those and used our solution, we believe that, after having looked at the Equifax breach, that would not have happened, had they followed the security controls that are in NIST. There's a lot of articles published about how NIST can help companies get ready for the GDPR in Europe, and so we've got the NIST controls, we went through all the time, energy, and funding to create the NIST security controls that will help a hundred percent of those applied to the ISO certification, ISO 27000-1, 27000-2, which then lends itself to being GDPR compliant. So, not only do we help customers through this great new technology that we have in the silicon-rooted trust, and that's helpful in getting ready for the GDPR, but also these NIST controls. >> But it's also that it's also that the well the conversations that we're having with CIOs is that GDPR, even though it's centered here in Europe, is likely to have an effect on global behavior. And so, one of the things that they're looking for is, they're looking for greater commonality in the base infrastructure about how it handles security, so that they can have greater commonality in how their people do things, so they can be better at targeting where the problem is, when the problem happens, and how to remediate the problem. Talk a little bit about how more commonality in the infrastructure, especially when you talk about storage, which is increasingly the value proposition, is how you share data is going to liberate resources elsewhere in the business to do new and better things faster. >> I think for, from the HPE perspective, you're not going to solve GDPR with any specific point product. Right? And that's not, it's not really our message to the market, that, you implement this and you're going to go satisfy those requirements. It's definitely part of a solution, but what we've been trying to do is, you see, we've got the silicon root of trust on the server side, and a number of security features, and we're talking about how we integrate that with the storage. We're starting to bring together more of a vertically oriented stack, that includes all those pieces and they work together. So instead of having a security or commonality layer at the server layer, at the networking layer, at the storage layer, thinking about it as a service that's more vertically oriented through the stack, where you're able to take a look at all aspects of the networking, what's going on with the firmware and the operating system and all the way down to essentially your secure and most important data. >> Peter: Securing the data >> Exactly. >> And not the device. >> Exactly. Exactly. And so for us, you see it in themes for for 3PAR, for SimpliVity on the hyperconverged area, and all the converged systems on the compute side, we're really providing integrated security and integrated data protection that is inherently secure with encyryption and a host of other techniques. So really, we're trying to provide it from the application level on down through the infrastructure, a set of capabilities within the products that work together to provide a little bit more of a secure infrastructure. >> One of the things we talked to Bill Philbin about on theCUBE recently was, and Patrick, I'm sure you've heard this, maybe you too as well, Bob, but boo-boos happen now, today, really fast. So they replicate very quickly. So how do you deal with fast boo-boo replication and sort of rolling back to the point where you can trust that data? >> There's a couple techniques and innovations that we brought within the storage realm, in terms of integrating that whole experience, so our big thing is, on the storage side, has been how can you provide an experience from all-flash on-prem out to the cloud, from a data perspective, and have all that integrated so we've got a number of things that we've actually announced here at Discover, in terms of 3PAR, all-flash, and Nimble, being able to federate that primary storage, with your secondary storage, on-prem, and then being able to have that experience go off-prem, into the cloud, so you do have a media break and a number of things. I think, from a solution perspective, integrating with some of our top-tier partners on the availability side, like Deem, for example, it gives you that really holistic application-level view, in the context of virtualization, it's something that helps do the very rich cataloging experience, and pieces. >> So I wonder if we could talk about a topic that's been discussed in our communities, which is the biggest threat within cyber is the weaponization of social media. You've sort of seen it with fake news, and Facebook, and I wonder if you guys are having similar conversations with customers and even ransomware. You look at WannaCry, it was sort of state-sponsored, and actually not a lot of money went back >> Patrick: Right. >> To the perpetrators, maybe it was a distraction to get other credentials. And you're seeing different signatures of Russians, very sophisticated hackers, they target pawns and make 'em feel like kings, and then grab their credentials, and then go in and get critical data. So when you think about things like the weaponization of social media, how can you guys help, sort of, detect what's going on, anomalous behavior, and address that? You've got silicon level >> Right. >> You've got the storage component. Do analytics come into play? Is there a whole house picture that you can help customers >> Yeah, I think that's the next level. It's almost an iterative process as soon as we've developed a protection, or the ability to detect a cybersecurity breach, is then the hackers try to outdo that, and so we're continually leapfrogging, and I think the next step is probably with machine learning. We're starting to actually deploy some of that at HPE, that artificial intelligence, and we have some of that now with our storage, our Nimble storage, as well as our Aruba Networking with the technologies that Aruba has with IntroSpect, can now look at the communication inside of a network and determine if there's nefarious behavior, and watch the behavior analytics, as well as the signatures that are going on inside the network, and actually, then communicates with ClearPass, and can proactively take some charge of that and rule out that user that's potentially a bad actor before any damage is really done. Same way on, with the storage side, >> Patrick: Yep. >> With the InfoSight that has great, in fact, so great of AI intelligence, that we're actually sharing as we look at ransomware viruses, they're looking at the signatures that those leave, and the trails that ransomware leaves behind, so that the storage systems can actually proactively route that out with machine learning and artificial intelligence. That's where we're headed with HPE. >> But it's, it's not only, it's not only finding ways to fix the boo-boos, it's acknowledging or recognizing that the boo-boos occurred. So how is this new capability facilitating, or increasing the speed with which problems are recognized? >> I think one of the important points that Bob made is that we are, we're announcing this week, on the storage side, some concepts around AI for the data center, and specifically, around our predictive analytics with InfoSight, and applying that from Nimble to the 3PAR systems, and then setting out a vision that is going to basically enable us to use that AI at the infrastructure layer, across other areas within the portfolio. Servers, networking, and for, at the speed at which this is moving, you can't solve this at the human level, right? So for us, to be able to whitelist and blacklist customers, based on our learning across a very large install base, if you think about the amount of compute nodes and the amount of storage that we sell as a infrastructure company, you can learn and be enabled to proactively help customers avoid those situations, that's something we're actually implementing today. >> And let me follow up with that, because it's a great lead-in or tie-back to GDPR that we were discussing. >> Yep. >> Because there's reporting requirements within 72 hours, right, >> Yep. >> That GDPR says that you've got to report that you had a breach, and how do you report that if you're not certain? Well, with our silicon-rooted trust and the Gen10 servers, we actually are monitoring all that server essential firmware every 24 hours. Now some of our competitors monitor, or check the firmware, one time when you boot up the server, and never again until you, maybe reboot the server, right? But we're doing, at HPE, that check every 24 hours, and that's an automated process. And so, you ask, how can be detected? Well, we can detect that, because you'll get an alert, coming back to the user of the server, that there's been a breach, and that can be reported. >> We got to go. I'm glad you mentioned automation, because that's a big factor, >> Bob: Yeah. >> Using false positives, because people just don't have time, they're drinking from the fire hose. Bob, Patrick, thanks very much for coming to theCUBE. >> Great, thanks so much for having us. >> Dave: Enjoy the week. >> Thank you so much, we appreciate it. >> All right, keep it right there everybody, we'll be back with our next guest. This is theCUBE. We're live, from HPE Discover in Madrid. We'll be right back. (upbeat music)
SUMMARY :
Brought to you by Hewlett Packard Enterprise. and Bob Moore is here, he's the director of server software Not this time, my friend. We had a lot of fun. and you're a bass player, we got more sax, and how that's been received by customers. and the shared access, being able to do that and the fact that we can provide the silicon root of trust How do you guys help a customer sort of address that. but the downtime that you experience of the most increasingly important words if the Equifax breach had occurred in Europe, you have to have this level of capability applied the NIST 800-53 controls to that, in the business to do new and better things faster. of the networking, what's going on with the firmware and all the converged systems on the compute side, One of the things we talked to Bill Philbin about in the context of virtualization, and I wonder if you guys are having similar conversations the weaponization of social media, You've got the storage component. or the ability to detect a cybersecurity breach, so that the storage systems can actually that the boo-boos occurred. and the amount of storage that we sell that we were discussing. that you had a breach, and how do you report that We got to go. Bob, Patrick, thanks very much for coming to theCUBE. we'll be back with our next guest.
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Patrick Osborne, HPE | VMworld 2017
>> Announcer: Live, from Las Vegas, It's the cube, covering VMWorld 2017, brought to you by VMWare and its ecosystem partners. (techno music) >> Welcome back, I'm Stu Miniman, joined by Keith Townsend, welcome back to the program, a multi-time cube-along. Patrick Osborne, who's the senior director of product management with Hewlett-Packard Enterprise. Patrick, great to see you. >> Great to be back, thanks for having me. >> Yeah, uh, what number VMWorld is this for you? >> Oh gosh, uh, it's, it's, I can't count it at this point, too many. >> Yeah, it's like I've been working with VMWare for 15 years, it's the eighth one of these for me. Keith, I know you've been few, so what's your take so far, the show? Big ecosystem, a lot of news going on. What do you think so far? >> Yeah so I mean, from my perspective, VMWare has been such a huge ecosystem partner for HP for forever, y'know? It covers everything from, y'know, from our perspective on the compute networking, storage side, certainly services. So um, y'know for me it's always good to catch up with, y'know, old colleagues and kind of understand what's going on in the industry. A lot of talk today around private cloud, multi-cloud, y'know, what people are doing around automation. Y'know certainly a lot of things around software defined, software defined networks, software defined storage, so uh, a lot of good topics, um, it's always good to see the customers here too, as well. >> Yeah uh, the joke a few years ago was VMWorld became storage world, so uh, y'know, in your space of availability, and data protection, y'know, and I walk through the show floor, HP's got a big boot but I see a lot of companies that are attacking different angles of that. You brought up the cloud being a, y'know increasing piece. >> What's top of mind, of a customers that are coming to you, and what sort of things are you working on these days? >> Yeah so, um, from our perspective on the storage and data management landscape, I think that you see a lot of vendors in the space right now. Some of them are certainly part of our ecosystem, you see folks like Veem and, y'know, other folks that we partner with out on the floor. There is an increased look from the customer perspective on availability. It's, the segment's changing, the requirements are changing. I don't think people are tackling availability in the same way as sort of traditional data protection architectures. So we see customers, especially when they're looking for certain inflection points in their infrastructure, like, I'm going to go to all flash, or y'know, deploy some new storage. They're definitely rethinking the way they're doing availability from an application standpoint. So we're uh, we're trying to y'know, meet those market demands through our own technologies, as well as having a pretty robust ecosystem here that we barter with. >> So a lot of talk, not just at this show, but at previous HP shows about hybrid IT. It's obvious the data center isn't going anywhere for the majority of customers, but we have the complexity of cloud. How does cloud impact, practically, data protection, data availability. >> Yeah so uh, from our perspective it's certainly an opportunity, right, to help customers out. We have a, we've, y'know, from a strategy standpoint, we've put a couple solutions and things into market that we hope address some of these cases. So y'know, when you talk about Nimble cloud volumes, right, being able to have your data in a co-located facility very close to, y'know, public clouds so you can do some compute arbitrage, and ultimately be able to, y'know, control your data. And then we do other things for example, Store one's cloud bay, being able to back up to the cloud, which is a pretty established use case. I think from our perspective, helping customers make that move in terms of, um, y'know, you can set up the data path, and make the bits move, but when we talk to mid-size, especially large enterprise customers, the governance around that, I think is really important, And the user experience, to make sure that what you're sending out to the cloud is certainly protected, it's audited. We've even had customers coming to us, we just had a big customer that you've had on here before, 21st Century Fox, right, a big customer of HPE talk last week about, I want to back up workloads that are in the cloud to the cloud, right? There's not a lot of great tools for that today, and I want that audited, and I want y'know, a paper trail around that for their own internal uh, capabilities. So I think there's a lot of opportunities in the space. It's very nascent. >> Yeah, Patrick I think you're bringing up a great point. We were talking a lot at this show, kind of the multi-cloud world. I've got my maturation of what's happening in my data center, deploying a bunch of sass on one or multiple public clouds. And there's certain things like security or y'know, data protection availability. I need to get my arms around all of it. HPE's looking to fill some of those y'know, gaps, and help customers, y'know. What's the overriding story in y'know how you're not one of the big three public cloud providers, but why does HP have a position in this discussion, and maybe you can help us kind of round out that story a little. >> Yeah so, we have a position in that discussion because of, y'know, we are very large infrastructure provider to a lot of customers, right? In terms of providing on-prem, hybrid IT experiences. From a public cloud perspective, we're very sort of, public in our strategy of not having a public cloud within HPE, but we certainly partner with folks and we've got a very long standing partnership with Microsoft. We come to market with things like Azure Stack, and we have a number of integrations we do with things like Nimble, and um, in that area we resell y'know, Azure, from an HPE standpoint. So we're really looking to provide y'know, a full experience for customers in that space. And y'know, the other day, like you said before, people are still going to buy and deploy in their data center, right? But, they want to buy and deploy in their data center with the thought that um, y'know multi-cloud is going to be a possibility, and they want to have the infrastructure that's going to allow them to do that. So what we're doing is incrementally, in our product portfolio, I care about storage, right, is to be able to provide those experiences. I buy a 3PAR all flash, I want to be able to tier that or back that up to the cloud. I have Nimble, right, I want to be able to replicate that to a co-located provider that provides Nimble cloud volumes, and then assign compute to and from the cloud, right. So a bunch of things that we want to get customers ready for, and make it easier for them. >> So can we talk a little bit more about that Nimble story? Y'know, the 3PAR, we understand it. It is, covers a great depth of use cases in enterprise, where does Nimble fit in the strategy? Yeah, um so we're super excited to have Nimble in the portfolio for three reasons. They have a great team, number one, they bring a really good go to market engine, and the sales team, y'know, with that, and they have great products. So from the product angle, which we're very interested in, is a couple different areas. Infosite, predictive analytics, right, is something that we want to apply to our entire product line, hands down. So the things that they do around VM Vision, right, with um, with VMWare, we want to apply that to 3PAR, right, and essentially give the people the simplicity that it takes to manage a very large virtualized environment. They have a lot of things that they've done that are very unique. I mentioned Nimble cloud volumes before, that's a use case for primary storage, but could easily be extended to backup, data protection, object storage, right, as not only just a technology provider, but as a way to price it, consume that type of storage. And then they also bring a number of things around, in the availability space, which we find is very interesting. Secondary flash, right. So you think, all flash as high performance maybe a higher cost, right? But certainly is going to help you with that application acceleration. They just, we just released the Nimble secondary flash array for workloads that are tech-dev cloned workloads, y'know, things you can automate, and that you need some performance on it. But it's more performance than your backup storage, not as much cost and not as much storage as your primary. So think about secondary flash as flash for secondary workloads. Very cost optimized. More performance, maybe a little bit more expensive than your backup tier. So there's a lot of things that they bring to the table from a technology standpoint that we want to take advantage of. >> Patrick, HPE's got a broad portfolio, but still to meet all the needs of the customers, especially in like, the divergals niche ecosystem, acquires a lot of partnerships. Where are the, kind of the deep integrations that your team's been doing, where are the places where customers have been asking you to kind of pull things in, and any solutions that you want to highlight specifically? Yeah so, um, I think more and more what you start to see is portfolio vendors, like HPE, they bring great technology that we build organically, or that we go and acquire. I think one of the big things that customers rely on us as well, that doesn't get a lot of air play is that we bring in a vetted ecosystem to a customer. Y'know, so the whole kit and caboodle, from compute networking storage, services to bring that all together, and an ecosystem that's supported, and we basically HPE stamp of quality and support behind that so, y'know when it comes to VMWare, obviously this has a huge ecosystem. So we do a lot with, y'know, innovating with VMWare. I mentioned Nimble, VM Vision, things we're doing there to make hypervisor environments quite a bit more easy to implement for customers from a storage angle. You talked to Jessie from the SimpliVity standpoint. We do a lot around data protection, with certain things, with 3PAR, Nimble. So there's a lot on integrations that we do in, for VMWare specifically, and then in other areas of the portfolio, especially automation, right. So we've got fully supported solutions, I think we've got one of the best docker implementations for storage with Nimble. Huge partnerships with Puppet and Kubernetes, and Sheb, all these great things around the automation side. So when we go out and partner with somebody, we're going to go provide a whole solution, a complete solution to a customer that's vetted, RA's, supported, so from my perspective, partnering is actually one of the most important things we do at HPE. >> So, from a customer's perspective, HPE hugely important, key industry player for most CIO's, you guys are still very very trusted in that area, you have a huge ecosystem, huge portfolio, what should CIO's, CTO's, high level architects be focused on at this point? What's like, the consistent theme that you're telling your customers you really need to pay atttention to this part of the industry? >> So, from a corporate perspective, we've got a couple of things that we're working on, right. So we talk about hybrid IT, right. And that sort of transformation from, I would call it established methodologies of application and development to y'know, sort of new style. And we're definitely helping customers along that journey, and a lot of it is around bringing this vetted portfolio and ecosystem along with the services. So the services I think is one thing that, um, y'know HP is very unique in the fact that we've got a very very broad set of services, in terms of, y'know, we can go and help CIO's and CFO's and CTO's understand y'know, where are you along that journey, right. All the way to implementation, I think one of the things that we're going to be very very focused on over the next couple of years, is providing everything in our portfolio as consumption based pricing, right. So all the things that you like about the cloud, right, the things that are implied there are elasticity, right, agility, consumption based. You're moving from a cap-ex to an op-ex model, making that more predictable. So we want to be able to model that, and provide those experiences. Definitely one of the things that we're really focused on in HPE is IOT in the edge, right, so, that's a very fundamental part of our business that we're going to be looking at to make a lot of investments in big data. Certainly, some of the assets are on Edgeline and Aruba, and all the implications around security for that. So those are some of the key areas that we are, y'know, we talk to CIO's every day about. >> Patrick, from an availability and data protection standpoint, what does something like IOT mean? I have to think, we're not going to store all the data, lots of it's just going to be processed at the edge, we're talking a lot about edge so, I'm curious, what are the things that you're looking at, maybe start there, I think about like, containers, or a lot of times going to be something that is going to fit at that kind, maybe even serverless at the edge, so y'know, I seem to think back, y'know, when we talk about like oh, we're going to go to object store and therefore the way I do everything changes. So y'know, are we going to, couple years from now, is this going to be a very different discussion? >> Well I think, yeah, it's an interesting topic, right. When you talk about that volume of data, right, and the fact that it's very dispersed, right, being able to do, apply traditional availability techniques to something like that is um, it's difficult, it's next to impossible, right? So, um, y'know what we see is customers buying, in these type of ecosystems, you're not buying along horizontal lines, right. You're not buying a specific server vendor, or a networking vendor, or y'know, a storage vendor, and then going best of breed, trying to integrate that yourself. A lot of these things are vertically oriented now in terms of you're buying a stack, y'know, from a portfolio vendor or going to a service, y'know, an integrator. And I think with he volume of data that it takes to, to do some of these implementations, so we have very large customers, autonomous cars, y'know big, big implementations of Hadoop and analytics. I mean a lot of that stuff is built in. I think one thing you're starting to see is that, those types of deployments are outstripping or outpacing, y'know running away from the support of the traditional IT folks. So we have customers that are operationalizing, very large Hadoop customers for example, who don't have methodologies for backing that up and replicate it, so I think there's a lot of technology that needs to catch up with some of these implementations, we see it all the time. So, y'know, I think there's different techniques from a technology standpoint. Y'know, when we try to approach these from a customer perspective, we want to provide a full stack for edge, IOT, um, and but, from a data protection availability standpoint, that's a difficult problem to solve. >> Stu: Well Patrick Osborne, always a pleasure to catch up with you, thanks for all the updates here. Looking forward to tracking some of those, y'know, emerging areas that you were just-- >> Yeah, I look forward to talking to you guys in Discover in Madrid. >> Absolutely, so The Cube, so many events, check out siliconangle.tv, or actually thecube.net is where you're going to be able to see everything. Nice shorter url, you're going to keep the branding of The Cube, for Keith Townsend, I'm Stu Miniman, stay with us, watch more coverage here still to come. VM World 2017, you're watching The Cube. (techno music)
SUMMARY :
brought to you by VMWare and its ecosystem partners. Patrick, great to see you. I can't count it at this point, too many. it's the eighth one of these for me. to catch up with, y'know, old colleagues and data protection, y'know, other folks that we partner with out on the floor. So a lot of talk, not just at this show, So y'know, when you talk about Nimble cloud volumes, HPE's looking to fill some of those y'know, gaps, and um, in that area we resell y'know, Azure, and the sales team, y'know, with that, So we do a lot with, y'know, innovating with VMWare. So all the things that you like about the cloud, right, I seem to think back, y'know, when we talk about that needs to catch up with some of these implementations, Looking forward to tracking some of those, y'know, Yeah, I look forward to talking to you guys be able to see everything.
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Patrick Osborne, HPE Storage - #VMware - #theCUBE
fly from the mandalay bay convention center in las vegas it's the q's covering via world 2016 rock you buy vmware and its ecosystem sponsors now here's your host John furrier hey welcome back everybody live here in Las Vegas the Mandalay Bay it to hang space at vmworld 2016 here in Las Vegas I'm John for John Truett tech reckoning you watching the cube our next guest is Patrick Osborne with HPE Enterprise HP Enterprise welcome back to the cube thank you yeah always great to be back here on the cube gotta love the energy day to rock and tonight's going to be the big night but you know day three and last night what coverage big unless that's just a opening night you know it is if one sees each other great show here vm roll out see the open ecosystem number one message we heard out of michael dell's mouth pat kelson is banging hard cross cloud which has been an HP strategy quite frankly for multiple years yeah see you guys in the middle with all the storage talk about your view on that ecosystem what's going on yeah i mean it's a huge very important ecosystem for us at HP we've been a partner of vmware for i think we're going on 16 17 years at this point right so we are definitely one of the the largest infrastructure partners for vmware and it's part of from a storage perspective it's a huge part of our ecosystem so everything from software-defined hyper converge 3par all flash all the data protection offerings a lot of that sits within the vmware ecosystem so huge partner for us and i don't see that changing okay so give us the update on the storage world obviously with the keynotes today you saw v san is exploding with depth vmworld urine product management so you have to kind of set the roadmap any changes errors has there been a lot of movement on the roadmap relative to the key features that cuz one obviously flashes Q you see that but what's going on in the product management side because it's kind of a moving train it seems to be gravitating around software for virtualized storage or storage as a service but what's the main points on that you're seeing the ships and where is it settling yeah so I from from my perspective from a product management view you know we were more of a software development organization in storage than we ever have been so the days of bending sheet metal and qualifying parts and making you know custom hardware is that's not the focus right the focus is in the software so you know when they talk about hyper converge the values in the software even when we talk about great operating systems and platforms like 3par all the value that is in the software so from us you know we gotta keep pace with some of the innovations there and it's clear that you know customers want the option of storage co-located with their compute and you know we do that through partnerships with vmware we have our own intellectual property on our own offerings around storevirtual and some of the hyper converged offerings we have so for me that from a product management standpoint that is definitely shifting into software very quickly talk a little more about storevirtual I'm very fascinated by the hyper converged market how it's developing the kind of customers that are that are you're seeing out there what are you seeing as the target market in the end the road map here that that we're seeing in front of us for hyper convergence original particular store virtual is a key component of that roadmap going forward for us we use it as an enabling technology for a number of form factors which is really important for us it's not just a virtual storage appliance that you bring your the software and then you bring your own x86 servers with different kind of media we use it for for example like two weeks ago we just launched a an arm-based I'll callable I scuzzy and fibre channel array right that's based on store virtual we can take that same intellectual property you can build your own software-defined hyper converge platform with that same IP we actually take that and embed it in appliances so we we have our own hyper converge offerings like the HD 380 so for us it's like this core piece of our software defined strategy that has a bunch of different formats that you know meet different use cases for customers in terms of the appliance kind of that market how are you seeing what what is the market for that who what kind of customers are you saying for that kind of um so storevirtual has been around for for some time we've got a number of deployments in different incantations we probably had over 250,000 deployments of that technology in the field and what we see is that some customers who have gone and let's say built their own hyper converge right so they're aggregating storage across multiple servers for virtualized storage that takes a degree of work to do that on your own right so some people like to do that some people don't and then they move to an appliance experience which for the HD 380 for example you can have that thing up and running and provisioning VMS in 15 minutes so having the ability to deliver from the factory a track scale a number of hyper converge appliances for folks that are doing at that scales it's pretty important right so we see customers who want that ease of use that simplicity you don't get as many knobs right in customization right but at the end of day do you really need that right so the 15 minute no nerd knob thing how important is that to you in terms of product management is that the future of the direction um for some customers yes right so it depends on which kind of custom you're talking about and which segment right if I'm let's say a smaller customer or i'd say like or even a remote office you know that doesn't have a lot of trained IT staff and they really know for example vmware right you want to make it as simple as possible you don't want to break context out of the UI that you use the most going to be they'll do all those tasks there so from a simplicity standpoint that's what you need when you need scale right and you need to be able to tune things for specific workloads then you want knobs right and to be able to provide both those form factors it's kind of unique for store virtual how do you guys approach now the vmware ecosystem has its as its evolving with the cloud you saw IBM cloud on stage sales scores on there today obviously very open open ecosystem is what they're really really working on what areas are you guys tweakin with vmware going forward with the key key intersection point so for us I you know we want to provide customers choice on the platforms so you know you're very you know well aware of our compute line right we've sell a dl 380 every time a baby's born and so you know we want to make sure that for our customers who are choosing vmware our infrastructure is the first of choice right servers networking storage and we want to put as much context into the VMware management plane you know to make that very simple for them to use and stand up in terms of strategy around some of the areas of plug it's Ron the management so being able to plug in to our one view infrastructure management plane and being able to support all those functions within VMware's it's pretty important to us in terms of the VMware ecosystem and training and ableman buying center are you as a product manager having to direct more of your attention again to the to the virtualization admin versus the maybe 10 years ago it was the storage admin absolutely so the days of dedicated storage admin especially a dedicated backup you know data protection admin even some of the folks on the networking side now right you have to be able to provide context within a virtualized world so a lot of that stuff is moving to other areas where you have I and screen capture in different places then you would break context and go into you know a storage widget or a networking widget or even go to your you know your favorite backup software so what we're seeing at HP is that we cus tomers are coming to us buying more vertically integrated systems so the whole kit and caboodle oh say I want a vertically orient you know integrated system from HP I want to buy another one from a you know another portfolio vendor and for us from a product management standpoint making all of those pieces work together seamlessly is the challenge right you want to drive as much complexity out of that it's possible where I don't have to rack servers I don't have to worry about fibre channel or I skazhi networking or VLAN tagging or all the things that go along with deploying a complex three-tiered architecture so for a from a product manager standpoint it's my goal to get those reduce those clicks you know keep the eyeballs focused on one simple Chris you you I that's that's the that's the Holy Grail about the customer environment right now what are the top conversations you're having with customers you can boil them down and what's the pattern that you're seeing is it changing is the narrative changed out so you guys have a great story with composable infrastructure love that messaging I came out of HP discover this year what so what are some of the substantive conversations can you rank them stack rank amor yeah they oh yeah hold the pattern people right so i need to you know i need to do more with less from an FTE perspective so i need to manage a in order of magnitude more infrastructure per FTE than i was doing three years ago that's you know that's a big one the second one is time to value so the days of entering a service ticket to get you know a full application stack to test you know your app your middle where your database and your storage that can't take 47 days anymore right you want to be able to submit that ticket and have an environment for your developers up and running within hours if not you know instantaneously because that's what they expect from the cloud right so that's a challenge for us we're getting some tweets here shop direct message one is I think this guy plays the Jazz so question is did playing jazz help your career in storage actually so yes very much so two on two fronts oh I play a lot of music so I'm up on stage a lot right so you better be able to bring it right when you got to bring the heat you got to bring the heat right and then you know from for jazz it's definitely you know you learn the changes right you learn the melody but you have to improvise right so at the end of the day you know and up in front of customers and obviously with two heavyweights like yourself you got to be able to do some tap dancing that's awesome well hey you know what and the cube is like a jazz band you're doing great step up in the big games it's always good to sit in you know it's kind of riff and see where the conversation goes up some style after you know go with the changes no real agenda just kind of get down yeah it's a good it's a good opportunity and it's good to see you congratulations all your success love seeing in person Patrick thanks for clearing the insights and storage final word what's your takeaway from vmworld just share with the folks what you're going to walk away with this year from the show every year I come here I think what L could you possibly do right you know you've seen it all but you every year I come here and it's you know whether it's a take on some older architectures like server-side caching with you know a company like de Triomphe or example or you see you know a high-end storage or reincarnated you always see some new stuff and people are doing new things where you didn't think there would be any space for any more innovation in this so that's for me as a kind of a nerd and a product manager and a tech geek like that I love that just seeing the new stuff every year yeah they definitely it's definitely a geek culture here at vmworld for sure that's why I love it and we are here breaking it down inside the cube at the in the Hang space on day two of vmworld 2016 I'm John forage for you be back with more you're watching the cube
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Patrick Osborne & Bill Walker - HP Discover 2015 - theCUBE - #HPDiscover
live from the sands convention center las vegas nevada extracting a signal from the noise it's the cube covering HP discover 2015 brought to you by HP and now your host dave vellante welcome back to HP discover everybody this is dave vellante check out HP discovered on social for all the social streams the video the content the special access patrick osborne is here from HP cube alum and he's joined by Bill Walker of 20th Century Fox gents welcome to the cube good thank you yeah thanks for having us discovering another discover a little different this year Patrick we got Meg talking about business outcomes and absolutely uber and their yeah all the kinds of some shit models are very different I mean obviously you come out here every year for the past number of years and you know it's all about the technology i'm always wowed by the broad you know portfolio that we have but really at the end of the day I think some of the messaging to the customers is you know we're here to help you solve your problems and parts of that is technology part of its services so this hot sort of new high-level messaging around transformation and helping people achieve these business outcomes I think it's a good fresh start yes so bill your business going through some interesting transformations yes today to talk about the high level the drivers in your business the yet new competitors you got you got huge opportunities to go into this digital transformation you've sort of early on in that so maybe talk about some of the drivers in your business sure absolutely I think for us you know you really hit the nail on the head in the sense that it's really been about the physical to digital transformation that the industry is you know kind of going through and also Fox is and you know on the infrastructure side and the IT side we're trying to support that you know as best we can and you know the name of the game lately has been speed to market right so we partnered very tightly with HP on not only the hardware but the software side in you know building out kind of a brand new digital supply chain environment in Las Vegas actually right here and one of our major data centers where we deliver all of our digital content to all of our providers so EST VOD providers like amazon and itunes as well as you know major broadcasters so you've got a facility out here that is essentially your your cloud yes yes we do that that's our primary place where we deliver everything out of its it's great we're using all HP hardware and software there so we're customers across the board in the sense that we have blades we've got three par we're using store once as well as the HP software stack like cloud system on top of that that part is part of a super nap yes yes so yeah we we're facility we're in super net we love it it's a great facility we moved there like a little over two years ago and it's it's been awesome experience that made it into the any of the movies no it must hey I know well they it's impressive on the outside and the inside right yeah was it the old member the robocop oh yeah they have that storagetek tape library way magnet yeah they were great at four days these impressive data centers look amazing so so talk a little bit more about the you called it the digital supply chain that's a powerful concept what's behind that yeah so you know we we've obviously been in the physical supply chain business for a while on the home entertainment side so thank DVDs you know blu-rays that kind of thing but as we transition from people buying physical media to digital media a lot of the workflows and you know the supply chain aspect of it is still there but now we're talking digital and not physical so one of the things we've done at Fox is we've you know we've created what we call our digital supply chain so you've got you know they not only you know things like content delivery in there but you've got you know watermarking you know all the all the hallmarks of what you would need in a in a digital environment to deliver that customer you know quality product from end to end and protect your IP yeah exactly where T is a big one so we'll talk about more about security data maybe there's a general topic and then let's go to dig deeper every good for sure I mean security is obviously one of our big drivers I mean obviously with everything that's been in the news lately we're no different in the sense that we take it very very seriously you know on the data protection front like I said we're big store wants customers we love the product we're using it heavily in our in our data center to protect our content as well as our data so how much time let's unpack that a little bit what's it what's it look like laughs so you said a bunch of different you know HP products can you can you help us to understand how much you know storage kind of servers what kind of apps paint a picture of your your infrastructure for sure so we've got you know a lot actually several racks of gear 3par like I said we're big three part customers so we have several racks a three part that we're using kind of across the board a lot on the database side you know and heiio scenarios storeonce is kind of that underpinning piece that everything funnels back to that provides you know data deduplication backup archival that kind of thing okay so can we talk more about sort of your objectives of protecting data I mean obviously don't lose it but there's you know time to recover there's data loss how are you approaching that yep so we we've got you know our primary facility at switch as well as a dr facility off-site we're using store once we r you know we've got them in both places we're doing replication both ways to ensure you know if we were to have a vent at one facility or we didn't have data available we can quickly recover from the other you know rtly is it's been a great success for us because we've moved from tape-based you know back up and i really didn't mention that but you know where we came from you know two two and a half years ago you know from our LA and chandler data centers we have very very heavy investment in tape infrastructure and one of the things we into decided when we went to this new you know environment in Las Vegas is we wanted it to be completely tapeless you know to be flexible right in that environment and you know we pick store once we went all disk-based and you know RTO wise is fantastic because you know as opposed to tape if you have an event if you happen to not have the tape on site your RT 0 is dictated you know kind of by when you can get the tape back with the exit yes yes fast as you can get here right with the store once though it's just there we can we can you know bring it back in minutes and in fact we actually had a kind of not funny but but interesting incident happened early on where you know we kind of had an hoops incident where somebody deleted a vm and you know with store once we already had it had it there we were able to recover it in minutes and have it working again which is not something we were able to do in in previous iteration so it's really RTO is your primary supposed to RP oh yeah and Patrick I'm sure you see it all over the board with with customers right i mean yeah absolutely i mean it is the whole environment is based on this digital content that it's the lifeblood of you know what they're doing as a business and what they're delivering you know to your customers so that what we're seeing in the data protection standpoint is that more apps are mission critical right they're moving from business-critical the mission-critical the RTOS and our feos are definitely more aggressive you know month by month quarter-by-quarter people are moving from days two hours to minutes and we want to have more they won't have access to more data that's near line and online for so you can basically restore that right away so we're seeing people architecting solutions for store ones where they'd want a couple weeks maybe a couple months of data stored on that from a vaca perspective now we're talking having conversations about three to five years seven years 10 years right so definitely a paradigm shift in terms of data protection and the clouds change that a lot absolutely how so talk about that I think you know because the cloud there's not really a concept of tape per se I mean I know you know some providers have a delayed you know a kind of recovery type mechanism but I think in general people are assuming you've got the data on disk or you know available somewhere and you're able to recall it right and you know almost any cloud provider I think today is structured that way and has some kind of object storage where you can back up to but it's an online situation right and I think that's kind of become the new the new standard for the expectation of you know it's dumping it into an object store an able to recover from that yeah i like to say backup is one thing recoveries everything so there's a software component that that's the good that and what about tape you using I mean you must be used tape in your business right we do still have tape but I think where it makes sense we're trying to get rid of it you know we obviously there's a lot of physical nature with tape you know for us it's also manpower you have to have you know it's a lot of manpower involved in just managing tape and whatnot so where we can especially strategically in our data centers we're trying to get out out of using tape and using you know just a long-term archiving long-term retention with your digital assets obviously you would take for that we definitely have scenarios at the studio where it's still used for sure yeah but not obviously not for backup no yeah yeah I think you know with my team we're starting to think of the the notion of backup maybe in the traditional sense it's kind of going away because I think what people think of backup they think tape they think these scenarios and I think it's you know it's changing to more of a you know having having various generations on disk so you have the concept of you know okay being able to go back in time but near real-time recovery a time machine for the enterprise yeah yeah we talk when we talk to customers it's usually around the areas of application data protection or a service data protection and then long term preservation of assets as opposed to backup and archive right so there because they have a very different business processes around them and you can apply different technologies to the two of them so in some some technologies are appropriate for one some are appropriate for the others so we're you know we're seeing a lot of customers really focus on day one of how I'm going to protect that data how I'm going to make data protection an automatic part of the infrastructure so I don't have to have separate backup team and separate you know specific processes this whole area of things being sort of automatically protected as part of the infrastructure is it's definitely worth a lot but I think that's a really important point to make data protection has historically been a bolt on right uh we got to protect the data yep and so you're saying that you're finally seeing customers integrate data protection as part of the fundamental solution absolutely the two things so the two things that now I'm seeing it from a fundamental part of the initial solution bill that is data protections built in right so you're seeing the techniques of snapshot and replication being melded with you know backup techniques like policy management indexing and all that kind of stuff right and then the other sort of conversation we're having with people who put infrastructure in place is how am I going to get off this in five years five to seven years right so because the amount the size of the data sets are becoming so big that replicating data data migrations migrating your backup data are there they're difficult the difficult task so people are doing a lot more planning ahead to understand how am I going to protect this data now right from a different set of scenarios and how am I going to start do some hardware lifecycle management from an infrastructure standpoint underneath that data as I go into the future are you a data protector customer what do you use not not currently although we are you know we are looking at it for sure yeah today we're actually net back up yeah yeah okay I mean it's a lot of ways to skin that kappa yeah that's still not in your group is it nope nice meg just make it but they have a saying this for a decade the data protect there should be a part of the storage solution I mean it's anyway we work with them every day fantastic I got a tight relationship yeah yeah I'm still get paid for it do get paid for it that's good okay well that's a start yeah yeah awesome alright let's see what else uh what's going on the show this year with you Oh lots of stuff of the show so obviously you you heard about flash right yeah we've heard a lot of flashes fam yeah it's great mokin fast yeah so there's a in it's funny there's a lot of implications to flash even on data protection right so this is a big area for us obviously is huge in the market the media and the speed in what flash brings to the table allows you to do some different things from Dave protection standpoint as well right so this concept of copy data management you've heard this in terms of now i can take copies of databases copies of data sets serve them up to uat test development environment so you know your speed of development by having access to copies of that you know of that original production data set is being enabled by media like flash no flash you can do lots of random i/o you can with with modern architectures like three par for example it's multi-tenant right you have quality of service on there so now we're in the past you'd have to clone a number of data sets copy them off restore them from backups for the purposes of having a you know a test data set now you can run all that on the same infrastructure so flash is great from a performance standpoint for you know speeding up your transactions feeding of your database your workflow but there's a lot of other things that allows us to do to help the overall speed of development which is kind of cool so the copy data management things interesting I mean yeah so active feos obviously popularizing it Dell fixes another one yeah the problem is they want me to rip out or not use my might reap are snapshots and I love my three parts don't want to put in a whole new infrastructure around it so is there I mean the opportunity you got a catalog in in-store wants maybe I could use that somehow that technology so that's what we're doing right so we're taking these techniques that you've had in traditional backup for years and then things you have on primary storage right snapshots and replication but with the with the advantages of flash now you're able to do a lot more with it and bringing those two techniques together we're doing it with software we're doing it with sort of extensible protocols and SD SDKs on the infrastructure itself so we're not introducing any sort of sand virtualization techniques or you know in line fibre channel you know type of virtualization technology we're allowing you do that as a part of the infrastructure itself so you know we're combining things like three par with Recovery Manager central and store ones to provide those type of experience I think the killer app they're Jews potentially is test dev right i mean if you can take copies that are more current give it to the especially with flash give it to the developers but they're not working on you know n minus three copies absolutely yeah and they're way more productive I know what kind of discussions are you having internal how do you service the developer community are they what kind of pressures are they putting on you bill yeah it's that probably the same things you've heard I mean you know agility speed I know for us you know because we're we're big on the cloud journey right now in terms of delivering you know private cloud services for our customers inside Fox one of the areas where we're actively really striving for is to do you know some deeper integration with some of the dev teams where they've got you know kind of closed loop cycles you know DevOps type cycles that they're developing with you know familiar tooling which you know is in the market that out there the Jenkins etc you know my team we're definitely working on trying to integrate a lot of the automation we're doing around cloud with what they're doing on the test dev site to kind of create a nice you know cohesive whole so you know rather than delivering just a server to them we can deliver an entire in a build environment and tear it down you know build it up and tear down dynamic flames so you mentioned a store once customer talked about RTO being really on the primary metric that you're trying to optimize waiting sir patrick comes out to California you know hits the beach makes a quick sales call writes it off wait what do you want to know from him yeah okay Oh with you that the time so what kind of discussions do you have with with Patrick around where you want to where you want to go what you want out of the product when I roadmap to the club yeah I think one of the things you know we're as I said before you know we're three par and store wants customers and I think we're where we see you know things headed in the future we'd love to see even deeper integration with three par and store once and you know we're actually having a discussion my team before this and one of the things they threw out there like hey why can't we just combine them into one product you know and I know right now they're separate but sure maybe maybe in the near future you know the the notion of having this this external device it's separate from 3par that you're you know moving to you know maybe maybe some of that gets melded together and what does that do for you it minimizes the need to manage another appliance absolutely right so it simplifies your your infrastructure tighter integration yep so better reliability and yeah I mean you know we're like a lot of technology shops in the sense that well we're trying to squeeze you know as much as we can you know with the team that we have in terms of Technology and still deliver a lot of services so you know we're always looking to if we can take two and make it one or you know that kind of scenario for simplification that's what we want to do too and more with less but no so let me ask you a question when you do more with less and you've dropped money to the CFO's bottom line today they carve off the you get a lick off that cone or they say hey they'll nice job here's a little you know we'll take twenty percent of that savings and give it back yeah it's I for us it's just the you know the slap on the back the handshake that we did it what are you seeing without me from our mothers hear from our product portfolio standpoint we're simplifying right we want to have I think we're in a unique position in terms of we want to be the best storage division inside of HP Enterprise right we don't want to be the best storage division standalone right so that affords us a lot of experiences for that we can bring to the customer when you bring in you know the blades and compute and networking and storage I mean what you see up on stage with one view and all of our element managers you know it's it doesn't sound sexy at the end of the day but basically having a same look and feel the same taxonomy that you use for all of our products is like a huge simplification for customers not having to you know learn new you is and why not so we have other competitors who you know they're bringing 7 10 12 you know different architectures for a primary storage the table right we're consolidating that and providing customers that the ability to they can go in a cost optimized software to find you know deployment model you can have appliances that are tuned in high performance same look and feel same CLI same utilities same data services so we want choice but it has to be simple because too much so what do you think about that whole software-defined mean is that the future is it this Patrick sort of implying sort of the the lower-cost sort of software only model what do you guys say yeah well we're big believers in software to find you know like I said we're we're kind of in it on you know on the whole stack in the sense that we know not only a part where we have software with HP we're also doing a lot with the team around Helion OpenStack right now and you know one of the big bets we're making is we think openstax going to be big we you know I know internally when we've talked with you know a lot of the development teams the idea of API defined infrastructure that's more malleable is tremendously exciting so what are you in with OpenStack well so right now we're actually we're kind of in that you know early stage entire ya des you know trying to trying to get a feel for it cuz you know one of the things I always say you know right now with OpenStack is it's kind of a two-way street you know there's the infrastructure part of it that my team has to deliver but the the other side of it is really the developers you know getting their hands around it getting a feel for it you know maybe even doing some platform-as-a-service with Cloud Foundry you know that kind of thing and they're really developing for that platform and getting the most out of it because you know in a lot of cases you know you're coming from a traditional environment where you know you had physical servers you put virtualization on top of it everybody's kind of used to that maybe a single VM kind of scenario but when you move to something like OpenStack you kind of got to rethink how you approach application building just think all right gents we're out of time going to leave it there but Patrick last last word for you why HP why HP I think we've got some exciting times ahead of us this year right so unlocking some velocity and value for for everyone with HP Enterprise kind of like just to echo what I said before about you know we're a portfolio company that brings a lot of technology services to our customers and at the end of the day my bet is that standalone companies that focus on one thing like storage or one thing like network or specifically compute I don't see a path forward for that over time right customers are buying solutions and systems and converged art you know infrastructure how you see this you know hyper converge theme right HP is one of the few companies that can bring all those elements to our customers as part of the equation so that for me that's why I stay here and why we've got such a great technology path forward yeah the 80s and 90s are about disintegration of IT and creating those silos and now we're seeing the reintegration so Patrick a bill thanks very much for coming on the cube absolutely thank you so much to have you guys here all right all right keep it right to everybody will be back with our next guest right after this short break you
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Breaking Analysis: Supercloud is becoming a thing
>> From The Cube studios in Palo Alto, in Boston, bringing you data driven insights from the cube and ETR. This is breaking analysis with Dave Vellante. >> Last year, we noted in a breaking analysis that the cloud ecosystem is innovating beyond the idea or notion of multi-cloud. We've said for years that multi-cloud is really not a strategy but rather a symptom of multi-vendor. And we coined this term supercloud to describe an abstraction layer that lives above the hyperscale infrastructure that hides the underlying complexities, the APIs, and the primitives of each of the respective clouds. It interconnects whether it's On-Prem, AWS, Azure, Google, stretching out to the edge and creates a value layer on top of that. So our vision is that supercloud is more than running an individual service in cloud native mode within an individual individual cloud rather it's this new layer that builds on top of the hyperscalers. And does things irrespective of location adds value and we'll get into that in more detail. Now it turns out that we weren't the only ones thinking about this, not surprisingly, the majority of the technology ecosystem has been working towards this vision in various forms, including some examples that actually don't try to hide the underlying primitives. And we'll talk about that, but give a consistent experience across the DevSecOps tool chain. Hello, and welcome to this week's Wikibon, Cube insights powered by ETR. In this breaking analysis, we're going to share some recent examples and direct quotes about supercloud from the many Cube guests that we've had on over the last several weeks and months. And we've been trying to test this concept of supercloud. Is it technically feasible? Is it business rational? Is there business case for it? And we'll also share some recent ETR data to put this into context with some of the players that we think are going after this opportunity and where they are in their supercloud build out. And as you can see I'm not in the studio, everybody's got COVID so the studios shut down temporarily but breaking analysis continues. So here we go. Now, first thing is we uncovered an article from earlier this year by Lori MacVittie, is entitled, Supercloud: The 22 Answer to Multi-Cloud Challenges. What a great title. Of course we love it. Now, what really interested us here is not just the title, but the notion that it really doesn't matter what it's called, who cares? Supercloud, distributed cloud, someone even called it Metacloud recently, and we'll get into that. But Lori is a technologist. She's a developer by background. She works at F-Five and she's partial to the supercloud definition that was put forth by Cornell. You can see it here. That's a cloud architecture that enables application migration as a service across different availability zones or cloud providers, et cetera. And that the supercloud provides interfaces to allocate, migrate and terminate resources... And can span all major public cloud providers as well as private clouds. Now, of course, we would take that as well to the edge. So sure. That sounds about right and provides further confirmation that something new is really happening out there. And that was our initial premise when we put this fourth last year. Now we want to dig deeper and hear from the many Cube guests that we've interviewed recently probing about this topic. We're going to start with Chuck Whitten. He's Dell's new Co-COO and most likely part of the Dell succession plan, many years down the road hopefully. He coined the phrase multi-cloud by default versus multi-cloud by design. And he provides a really good business perspective. He's not a deep technologist. We're going to hear from Chuck a couple of times today including one where John Furrier asks him about leveraging hyperscale CapEx. That's an important concept that's fundamental to supercloud. Now, Ashesh Badani heads products at Red Hat and he talks about what he calls Metacloud. Again, it doesn't matter to us what you call it but it's the ecosystem gathering and innovating and we're going to get his perspective. Now we have a couple of clips from Danny Allan. He is the CTO of Veeam. He's a deep technologist and super into the weeds, which we love. And he talks about how Veeam abstracts the cloud layer. Again, a concept that's fundamental to supercloud and he describes what a supercloud is to him. And we also bring with Danny the edge discussion to the conversation. Now the bottom line from Danny is we want to know is supercloud technically feasible? And is it a thing? And then we have Jeff Clarke. Jeff Clark is the Co-COO and Vice Chairman of Dell super experienced individual. He lays out his vision of supercloud and what John Furrier calls a business operating system. You're going to hear from John a couple times. And he, Jeff Clark has a dropped the mic moment, where he says, if we can do this X, we'll describe what X is, it's game over. Okay. So of course we wanted to then go to HPE, one of Dell's biggest competitors and Patrick Osborne is the vice president of the storage business unit at Hewlett Packet Enterprise. And so given Jeff Clarke's game over strategy, we want to understand how HPE sees supercloud. And the bottom line, according to Patrick Osborne is that it's real. So you'll hear from him. And now Raghu Raghuram is the CEO of VMware. He threw a curve ball at this supercloud concept. And he flat out says, no, we don't want to hide the underlying primitives. We want to give developers access to those. We want to create a consistent developer experience in that DevsSecOps tool chain and Kubernetes runtime environments, and connect all the elements in the application development stack. So that's a really interesting perspective that Raghu brings. And then we end on Itzik Reich. Itzik is a technologist and a technical team leader who's worked as a go between customers and product developers for a number of years. And we asked Itzik, is supercloud technically feasible and will it be a reality? So let's hear from these experts and you can decide for yourselves how real supercloud is today and where it is, run the sizzle >> Operative phrase is multi-cloud by default that's kind of the buzz from your keynote. What do you mean by that? >> Well, look, customers have woken up with multiple clouds, multiple public clouds, On-Premise clouds increasingly as the edge becomes much more a reality for customers clouds at the edge. And so that's what we mean by multi-cloud by default. It's not yet been designed strategically. I think our argument yesterday was, it can be and it should be. It is a very logical place for architecture to land because ultimately customers want the innovation across all of the hyperscale public clouds. They will see workloads and use cases where they want to maintain an On-Premise cloud, On-Premise clouds are not going away, I mentioned edge clouds, so it should be strategic. It's just not today. It doesn't work particularly well today. So when we say multi-cloud by default we mean that's the state of the world today. Our goal is to bring multi-cloud by design as you heard. >> Really great question, actually, since you and I talked, Dave, I've been spending some time noodling just over that. And you're right. There's probably some terminology, something that will get developed either by us or in collaboration with the industry. Where we sort of almost have the next almost like a Metacloud that we're working our way towards. >> So we manage both the snapshots and we convert it into the Veeam portable data format. And here's where the supercloud comes into play. Because if I can convert it into the Veeam portable data format, I can move that OS anywhere. I can move it from physical to virtual, to cloud, to another cloud, back to virtual, I can put it back on physical if I want to. It actually abstracts the cloud layer. There are things that we do when we go between cloud some use BIOS, some use UEFI, but we have the data in backup format, not snapshot format, that's theirs, but we have it in backup format that we can move around and abstract workloads across all of the infrastructure. >> And your catalog is control in control of that. Is that right? Am I thinking about that the right way? >> Yeah it is, 100%. And you know what's interesting about our catalog, Dave, the catalog is inside the backup. Yes. So here's, what's interesting about the edge, two things, on the edge you don't want to have any state, if you can help it. And so containers help with that You can have stateless environments, some persistent data storage But we not not only provide the portability in operating systems, we also do this for containers. And that's true. If you go to the cloud and you're using say EKS with relational database services RDS for the persistent data later, we can pick that up and move it to GKE or move it to OpenShift On-Premises. And so that's why I call this the supercloud, we have all of this data. Actually, I think you termed the term supercloud. >> Yeah. But thank you for... I mean, I'm looking for a confirmation from a technologist that it's technically feasible. >> It is technically feasible and you can do it today. >> You said also technology and business models are tied together and enabler. If you believe that then you have to believe that it's a business operating system that they want. They want to leverage whatever they can. And at the end of the day, they have to differentiate what they do. >> Well, that's exactly right. If I take that in what Dave was saying and I summarize it the following way, if we can take these cloud assets and capabilities, combine them in an orchestrated way to deliver a distributed platform, game over. >> We have a number of platforms that are providing whether it's compute or networking or storage, running those workloads that they plum up into the cloud they have an operational experience in the cloud and they now they have data services that are running in the cloud for us in GreenLake. So it's a reality, we have a number of platforms that support that. We're going to have a a set of big announcements coming up at HPE Discover. So we led with Electra and we have a block service. We have VM backup as a service and DR on top of that. So that's something that we're providing today. GreenLake has over, I think it's actually over 60 services right now that we're providing in the GreenLake platform itself. Everything from security, single sign on, customer IDs, everything. So it's real. We have the proofpoint for it. >> Yeah. So I want to clarify something that you said because this tends to be very commonly confused by customers. I use the word abstraction. And usually when people think of abstraction, they think it hides capabilities of the cloud providers. That's not what we are trying to do. In fact, that's the last thing we are trying to do. What we are trying to do is to provide a consistent developer experience regardless of where you want to build your application. So that you can use the cloud provider services if that's what you want to use. But the DevSecOp tool chain, the runtime environment which turns out to be Kubernetes and how you control the Kubernetes environment, how do you manage and secure and connect all of these things. Those are the places where we are adding the value. And so really the VMware value proposition is you can build on the cloud of your choice but providing these consistent elements, number one, you can make better use of us, your scarce developer or operator resources and expertise. And number two, you can move faster. And number three, you can just spend less as a result of this. So that's really what we are trying to do. We are not... So I just wanted to clarify the word abstraction. In terms of where are we? We are still, I would say, in the early stages. So if you look at what customers are trying to do, they're trying to build these greenfield applications. And there is an entire ecosystem emerging around Kubernetes. There is still, Kubernetes is not a developer platform. The developer experience on top of Kubernetes is highly inconsistent. And so those are some of the areas where we are introducing new innovations with our Tanzu Application Platform. And then if you take enterprise applications, what does it take to have enterprise applications running all the time be entirely secure, et cetera. >> Well, look, the multi-cloud by default today are isolated clouds. They don't work together. Your data is siloed. It's locked up and it is expensive to move and make sense of it. So I think the word you and I were batting around before, this is an interconnected tissue. That's what the world needs. They need the clouds to work together as a single platform. That's the problem that we're trying to solve. And you saw it in some of our announcements here that we're starting to make steps on that journey to make multi-cloud work together much simpler. >> It's interesting, you mentioned the hyperscalers and all that CapEx investments. Why wouldn't you want to take advantage of a cloud and build on the CapEx and then ultimately have the solutions machine learning as one area. You see some specialization with the clouds. But you start to see the rise of superclouds, Dave calls them, and that's where you can innovate on a cloud then go to the multiple clouds. Snowflakes is one, we see a lot of examples of supercloud... >> Project Alpine was another one. I mean, it's early, but it's its clearly where you're going. The technology is just starting to come around. I mean it's real. >> Yeah. I mean, why wouldn't you want to take advantage of all of the cloud innovation out there? >> Is that something that's, that supercloud idea is a reality from a technologist perspective. >> I think it is. So for example Katie Gordon, which I believe you've interviewed earlier this week, was demonstrating the Kubernetes data mobility aspect which is another project. That's exactly part of the it's rationale, the rationale of customers being able to move some of their Kubernetes workloads to the cloud and back and between different clouds. Why are we doing? Because customers wants to have the ability to move between different cloud providers, using a common API that will be able to orchestrate all of those things with a self-service that may be offered via the APEX console itself. So it's all around enabling developers and meeting them where they are today and also meeting them into tomorrow's world where they actually may have changed their mind to do those things. So yes we are walking on all of those different aspects. >> Okay. Let's take a quick look at some of the ETR data. This is an X-Y graph. You've seen it a number of times on breaking analysis, it plots the net score or spending momentum on the Y-axis and overlap or pervasiveness in the ETR dataset on the X-axis, used to be called market share. I think that term was off putting to some people, but anyway it's an indicator of presence in the dataset. Now that red dotted line that's rarefied air where anything above that line is considered highly elevated. Now you can see we've plotted Azure and AWS in the upper right. GCP is in there and Kubernetes. We've done that as reference points. They're not necessarily building supercloud platforms. We'll see if they ever want to do so. And Kubernetes of course not a company, but we put 'em in there for context. And we've cherry picked a few players that we believe are building out or are important for supercloud build out. Let's start with Snowflake. We've talked a lot about this company. You can see they're highly elevated on the vertical axis. We see the data cloud as a supercloud in the making. You've got pure storage in there. They made the public, the early part of its supercloud journey at Accelerate 2019 when it unveiled a hybrid block storage service inside of AWS, it connects its On-Prem to AWS and creates that singular experience for pure customers. We see Hashi, HashiCorp as an enabling infrastructure, as code. So they're enabling infrastructure as code across different clouds and different locations. You see Nutanix. They're embarking on their multi-cloud strategy but it's doing so in a way that we think is supercloud, like now. Now Veeam, we were just at VeeamON. And this company has tied Dell for the number one revenue player in data protection. That's according to IDC. And we don't think it won't be long before it holds that position alone at the top as it's growing faster than in Dell in the space. We'll see, Dell is kind of waking up a little bit and putting more resource on that. But Veeam, they're a pure play vendor in data protection. And you heard their CTO, Danny Allan's view on Supercloud, they're doing it today. And we heard extensive comments as well from Dell that's clearly where they're headed, project Alpine was an early example from Dell technologies world of Supercloud in our view. And HPE with GreenLake. Finally beginning to talk about that cross cloud experience. I think it in initially HPE has been more focused on the private cloud, we'll continue to probe. We'll be at HPE discover later on the spring, actually end of June. And we'll continue to probe to see what HPE is doing specifically with GreenLake. Now, finally, Cisco, we put them on the chart. We don't have direct quotes from recent shows and events but this data really shows you the size of Cisco's footprint within the ETR data set that's on the X-axis. Now the cut of this ETR data includes all sectors across the ETR taxonomy which is not something that we commonly show but you can see the magnitude of Cisco's presence. It's impressive. Now, they had better, Cisco that is, had better be building out a supercloud in our view or they're going to be left behind. And I'm quite certain that they're actually going to do so. So we have a lot of evidence that we're putting forth here and seeing in the marketplace what we said last year, the ecosystem is take taking shape, supercloud is forming and becoming a thing. And really in our view, is the future of cloud. But there are always risks to these predictive scenarios and we want to acknowledge those. So first, look, we could end up with a bunch of bespoke superclouds. Now one supercloud is better than three separate cloud native services that do fundamentally the same thing from the same vendor. One for AWS, one for GCP and one for Azure. So maybe that's not all that bad. But to point number two, we hope there evolves a set of open standards for self-service infrastructure, federated governance, and data sharing that will evolve as a horizontal layer versus a set of proprietary vendor specific tools. Now, maybe a company like Veeam will provide that as a data management layer or some of Veeam's competitors or maybe it'll emerge again as open source. As well, and this next point, we see the potential for edge disruptions, changing the economics of the data center. Edge in fact could evolve on its own, independent of the cloud. In fact, David Floria sees the edge somewhat differently from Danny Allan. Floria says he sees a requirement for distributed stateful environments that are ephemeral where recovery is built in. And I said, David, stateful? Ephemeral? Stateful ephemeral? Isn't that an oxymoron? And he responded that, look, if it's not ephemeral the costs are going to be prohibitive. He said the biggest mistake the companies could make is thinking that the edge is simply an extension of their current cloud strategies. We're seeing that a lot. Dell largely talks about the edge as retail. Now, and Telco is a little bit different, but back to Floria's comments, he feels companies have to completely reimagine an integrated file and recovery system which is much more data efficient. And he believes that the technology will evolve with massive volumes and eventually seep into enterprise cloud and distributed data centers with better economics. In other words, as David Michelle recently wrote, we're about 15 years into the most recent cloud cycle and history shows that every 15 years or so, something new comes along that is a blind spot and highly disruptive to existing leaders. So number four here is really important. Remember, in 2007 before AWS introduced the modern cloud, IBM outpost, sorry, IBM outspent Amazon and Google and RND and CapEx and was really comparable to Microsoft. But instead of inventing cloud, IBM spent hundreds of billions of dollars on stock buybacks and dividends. And so our view is that innovation rewards leaders. And while it's not without risks, it's what powers the technology industry it always has and likely always will. So we'll be watching that very closely, how companies choose to spend their free cash flow. Okay. That's it for now. Thanks for watching this episode of The Cube Insights, powered by ETR. Thanks to Stephanie Chan who does some of the background research? Alex Morrison is on production and is going to compile all this stuff. Thank you, Alex. We're all remote this week. Kristen Nicole and Cheryl Knight do Cube distribution and social distribution and get the word out, so thank you. Robert Hof is our editor in chief. Don't forget the checkout etr.ai for all the survey action. Remember I publish each week on wikibon.com and siliconangle.com and you can check out all the breaking analysis podcasts. All you can do is search breaking analysis podcast so you can pop in the headphones and listen while you're on a walk. You can email me at david.vellante@siliconangle.com. If you want to get in touch or DM me at DVellante, you can always hit me up into a comment on our LinkedIn posts. This is Dave Vellante. Thank you for watching this episode of break analysis, stay safe, be well and we'll see you next time. (upbeat music)
SUMMARY :
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Chris Powers, HPE | Commvault GO 2019
>> Announcer: Live from Denver, Colorado, it's The Cube. Covering Commault Go 2019. Brought to you by Commvault. >> Welcome back to The Cube's coverage of Commvault Go 19! I'm Lisa Martin, with Stu Miniman. And Stew and I are pleased to welcome to The Cube for the first time, we have Chris Powers, VP and General Manager at HPE. Chris, welcome! >> Thank you very much, thank you. I was telling Stu earlier, you know, long time watcher. First time participant. >> All right, well, awesome, we love that. So here we are in your native area of Colorado. We were just talking about the weather which is probably a topic if you live or visit Colorado that is always an interesting conversation because it changes >> Chris: Rapidly. >> So rapidly, exactly. You guys had snow last week, we have beautiful weather. Well, at least so far this week. But I only got in last night. >> Well stick around till this weekend cause we'll have some more snow. >> All right, I brought some boots. So Chris, talk to us, you've been a long time HPE guy, let's have just kind of a status of the HPE, Commvault relationship, the partnership. What's going on there? >> Absolutely, so Commvault is key important partner to HP. We actually have an arrangement via a capability we call HPE Complete by which we actually skew up Commvault products, we go through the background working with Commvault making sure we have application integration so that customers have a lot of confidence in them. And then a customer or a partner can buy a complete solution on a single P.O. from both companies. So it really provides that ease of transaction, ease of evaluation. And then confidence in the delivered solution that they purchased from HPE. >> So confidence and simplification are great from doing a transaction. Talk to us about how Commvault and HP are working together to really have customers in this multi-cloud world that a lot of them are living in have confidence that they're able to access secure data in a way that is as simple as it can be. >> Well there's a couple things we have. We have integration with Commvault products with a number of our, across a number of our platforms. Commvault is the backbone for our HPE GreenLake backup as a service product, right? And what that gives is the confidence and the capabilities of having a cloud-like experience for your backup environment. But it's managed and controlled on premises. So it brings the benefits of both with the Commvault and Telesnap technology we've got that integrated in with our HPE Primera 3Par and Nimble platforms and that makes snapshot management much more seamless and much more of core portion of their data protection strategies. So there's a number of connection points that we have and we will continue over time to just continue to broaden and exploit that, you know, where the opportunities exist. >> Yeah, I just had a conversation with Craig Rutledge, last week about GreenLake. Bring us inside your customers and you know, how is it some of their buying patterns are changed? GreenLake's actually been around for about nine years, I hadn't been aware that it had been around that long. But you know, cloud and as a service, Commvault's talking about there's a new SaaS offering that they have. You know storage used to be just something you thought about with a box. Now, you know, software is one of the key delivery mechanisms for how I manage and deal with my data. >> That's correct. Well, you know, a lot of the consumption models changed. You know quite a bit over time. And there are more and more, we're seeing more and more of our customers really being more interested in not purchasing the box. Really, I mean the box delivers something. Really, this is shifting more towards purchasing what is being delivered, right. And so that's why these SaaS service models are really that significant. They're a market changer in a couple of aspects. First of all it changes the economics. You know from a consumption standpoint about what are you purchasing? Second thing it does, is it pushes back under the vendor more of the responsibility of the day-to-day maintenance and the activities. Right, it offloads. And so you could be using these IT, you know, compute storage services. Really focusing on them to bring your business outcome as opposed to spending a lot of your time and energy managing the infrastructure itself. >> Chris, of course we've heard a lot about data this week. One area I'm surprised I haven't heard about it much, maybe I just haven't been in the right conversations, is AI. And I know, I've talked to your peer Patrick Osborne, quite a few times about how AI is impacting your portfolio. Maybe help us understand how it fits into this whole discussion. >> Certainly, you know, it's really in two forms. One is AI to support your infrastructure management itself. Right? So a key component of our strategy is something we call the global intelligence engine. And that brings with it a combination of really monitoring what's happening within the environment. Creating from that a set of, think of fingerprints. Associated with workloads such that we can begin to trace and understand, based upon those fingerprints, if there's something changing in the environment, applying rules based AI to understand what an immediate type of response is. So that's how we're using it to simplify infrastructure management, because it is amazingly complex to what it used to be years ago. The second way though is actually bringing to market capabilities that support AI type workloads. And that's a step that Patrick's really focused on with our Mapar, blue data, integration. And it's really, so it's bringing both of those sets to marketplace. Wanting to help customers better manage their environment and then more on effectively being able to utilize those tools to then manage their businesses. >> And this is part of your, the intelligent data platform strategy that HPE is talking about. Can you kind of walk us through that IDP pitch? >> Absolutely. So, first and foremost it starts with workloads. Right? And it's workload optimized systems. That being either from your primary, from you file based from your object in secondary all the way to managing your cloud capabilities. And it's providing that workload mobility, data mobility across those platforms. We layer on top of that this notion of the global intelligence engine. Right? That I've already spoken to. And then what we have is effectively then able to make sure that we have SaaS type plugins for infrastructure management, right? Plugins and (mumbles), chef puppet and so forth. And then also optimizing from an application standpoint what is necessary from a workload standpoint from a data protection standpoint. In all of this then focused at consumers. Be it the data administrators. Be it the line of business owners being the IT infrastructure ops people. It's really this layered sort of capabilities but it starts and ends with workloads. Right? We don't talk about platforms, it's really how do you optimize the capabilities for a specific set of workloads, recognizing that the data associated with those workloads needs to transition over time. >> Chris, wondering if you have any customer examples that might be able to illustrate the power of HPE plus Commvault. >> Certainly, just reflecting back to the backups as a service, via HPE GreenLake. We have number of large customers that utilize GreenLake for the core of their operational activities. Just recently we took down a number of large deals in Europe utilizing HPE with Commvault to provide that in a backup environment managed by HPE GreenLake. >> And from the value of doing that is that you know obviously there's simplicity. You know, does that have an organizational change to how they think about their data protection once their, they leverage GreenLake. >> Well definitely, upon you know leveraging GreenLake, because no longer do you have this arm of backup administrators, you know sitting with you, within your company, right? You are procuring a service, right? You're no longer having to take care of it and manage that infrastructure, be responsible for it. And we take it upon ourselves then to also make sure that that infrastructure is being continuously updated, refreshed. Basically taking that headache of IT management away and focusing on the business outcome. >> Yeah, I'm wondering too, you could probably give a good kind of longterm view of this. How do you see that as different from the previous trend of outsourcing that we've gone through? >> So, I think that trend of outsourcing a lot of times that turned into, once you played it out over a couple of years, turned into more of a game of asset sweating. Right? And so you know, this notion of continually keeping up from a serviceability standpoint, optimizing the capabilities, I think it was more of a focus from an asset utilization play as opposed to delivering a service. I think the real change now, is delivering a service and what does that involve as opposed to like I said, arbitrating and taking advantage of an asset play. >> So when you were talking, you mention the term business outcomes a second ago and my ears perked up, so whether you're talking about whether it's a large retailer or it's a bank for example, talk to us about some of the business outcomes that you guys together with Commvault are helping customers achieve. You talked about kind of a consumer focus, but in terms of kind of like distilling that down to how an organization is maybe delivering new products and services because not only is the data protected and it's available, it's recoverable they've got the AI to be able to gain insights from it. Favorite story maybe that shows like business transformation by leveraging HPE and Commvault together. >> So I think, you know, that the best stories there are really in regards to given that we've freed up resources from that day to day operational type of activities and coupled together with last year, as you mention, that AI type understanding the insights. What it's really doing is it's allowing companies to really accelerate from a flexibility standpoint it's that notion of flexibility and speed to be able to react quickly. And we're seeing that across a large number of customers and that's really what's differentiating customers in this new, what we call the intelligence era, it's that speed and agility to adopt those new quick, adopt new business models, adopt new opportunities quickly change on a dime to recognize when things are changing and then chase after it and take the opportunity. >> So as we're here at day one of Commvault Go 19 this is their fourth event but a lot has changed for them since Sanjay Mirchandani came onboard just about what nine months or so ago, I'm just curious, you've been a partner a long time. Your perspectives on maybe this new Commvault or this Commvault 2.0 that you're seeing that HPE is partnering with? >> So I think it's refreshing, right? It builds into it a new energy, right? A new sense of focus and it's really I think as all of this within the IT industry are recognizing it's this whole notion about service and customer, really it's customer experience and the service enablement that we provide from infrastructure capabilities. I mean we are providing the tools to allow these companies to accelerate and so I think it's really great. It's really great, you know? Companies need to go through transformation, new leaders come in, breathe some different viewpoints and so forth and I think it's very healthy. >> Cultural change is always challenging to do but in some cases it's like you said, it's refreshing, they've also done a lot even with the launch of metallic yesterday just in terms of how quickly we are seeing them go from ideas to you know, to conceiving technologies and delivering them quite quickly to not just their kind of sweet spot of the enterprise, the large global enterprises, but you know down into the mid-market. So in terms of that speed and agility I think there articulating that and showing that pretty well. As to your point, customers have to have the ability whatever size they are, whatever type of industry they're in to be able to react quickly to take advantage of the next wave or be on the front of that next wave and having an infrastructure that is smart, that is optimized, cost-efficient, is as table-stakes to that. >> Absolutely, absolutely. Right, and I think what they've been able to demonstrate this week, you know, as part of their announcement said, is that flexibility, that awareness that there's continuous opportunities to be chased. >> Excellent. Well Chris, we thank you for joining Stu and Me on the The Cube today, telling us what's new with HPE and Commvault. We appreciate your time. >> Appreciate it, thank you very much! >> For Stu Miniman, I'm Lisa Martin, you're watching The Cube, from Commvault Go 19! (upbeat music)
SUMMARY :
Brought to you by Commvault. And Stew and I are pleased to welcome to The Cube I was telling Stu earlier, you know, So here we are in your native area of Colorado. Well, at least so far this week. Well stick around till this weekend So Chris, talk to us, you've been a long time HPE guy, So it really provides that ease of transaction, that they're able to access secure data in a way So it brings the benefits of both with the Commvault But you know, cloud and as a service, Really focusing on them to bring your business outcome And I know, I've talked to your peer Patrick Osborne, and then more on effectively being able to utilize strategy that HPE is talking about. recognizing that the data associated with those workloads that might be able to illustrate the power We have number of large customers that utilize GreenLake And from the value of doing that is that you know of backup administrators, you know sitting with you, Yeah, I'm wondering too, you could probably give And so you know, this notion of continually keeping up but in terms of kind of like distilling that down to it's that speed and agility to adopt those new quick, So as we're here at day one of Commvault Go 19 and the service enablement that we provide we are seeing them go from ideas to you know, to demonstrate this week, you know, as part of their on the The Cube today, telling us what's new with HPE
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HPE Secondary Storage for Hybrid cloud
>> From the SiliconANGLE Media Office in Boston, Massachusetts, it's theCUBE! Now, here's your host, Dave Vellante. >> Hi everybody, welcome to the special CUBE conversation on secondary storage and data protection, which is one of the hottest topics in the business right now. Cloud, multi-cloud, bringing the Cloud experience to wherever your data lives and protecting that data driven by digital transformation. We're gonna talk about that with Patrick Osborne, the Vice President and General Manager for big data and secondary storage at HPE, good friend and CUBE alum. Great to see you again. Thanks for coming on. >> Great, thanks for having us. >> So let's start with some of those trends that I mentioned. I think, let's start with digital transformation. It's a big buzzword in the industry but it's real. I travel around, I talk to customers all the time, everybody's trying to get digital transformation right. And digital means data, data needs to be protected in new ways now, and so when we trickle down into your world, data protection, what are you seeing in terms of the impact of digital and digital transformation on data protection? >> Absolutely, great question. So the winds of change in secondary storage are blowing pretty hard right now. I think there's a couple different things that are driving that conversation. A, the specialization of people with specific backup teams, right, that's moving away, right. You're moving away from general storage administration and specialized teams to people focusing a lot of those resources now on Cloud Ops team, DevOps team, application development. So they want that activity of data protection to be automated and invisible. Like you said before, in terms of being able to re-use that data, the old days of essentially having a primary dataset and then pushing it off to some type of secondary storage which just sits there over time, is not something that customers want anymore. >> Right. >> They wanna be able to use that data, they wanna be able to generate copies of that, do test and dev, gain insight from that, being able to move that to the Cloud, for example, to be able to burst out there or do it for DR activities. So I think there's a lot of things that are happening when it comes to data that are certainly changing the requirements and expectations around secondary storage. >> So the piece I want to bring to the conversation is Cloud and I saw a stat recently that the average company, the average enterprise has, like, eight clouds, and I was thinking, sheesh, small company like ours has eight clouds, so I mean, the average enterprise must have 80 clouds when you start throwing in all the sass. >> Yeah. >> So Cloud and specifically, multi-cloud, you guys, HPEs, always been known for open platform, whatever the customer wants to do, we'll do it. So multi-cloud becomes really important. And let's expand the definition of Cloud to include private cloud on PRM, what we call True Private Cloud in the Wikibon world, but whether it's Azure, AWS, Google, dot, dot, dot, what are you guys seeing in terms of the pressure from customers to support multi... They don't want a silo, a data protection silo for each cloud, right? >> Absolutely. So they don't want silos in general, right? So I think a couple of key things that you brought up, private cloud is very interesting for customers. Whether they're gonna go on PRM or off PRM, they absolutely want to have the experience on PRM. So what we're providing customers is the ability, through APIs and seamless integration into their existing application frameworks, the ability to move data from point A to point B to point C, which could be primary all-flash, secondary systems, cloud targets, but have that be able to be automated full API set and provide a lot of those capabilities, those user stories around data protection and re-use, directly to the developers, right, and the database admins and whoever's doing this news or DevOps area. The second piece is that, like you said, everyone's gonna have multiple clouds, and what we want to do is we want to be able to give customers an intelligent experience around that. We don't necessarily need to own all the infrastructure, right, but we need to be able to facilitate and provide the visibility of where that data's gonna land, and over time, with our capabilities that we have around InfoSight, we wanna be able to do that predictably, make recommendations, have that whole population of customers learn from each other and provide some expert analysis for our customers as to where to place workloads. >> These trends, Patrick, they're all interrelated, so they're not distinct and before we get into the hard news, I wanna kinda double down on another piece of this. So you got data, you got digital, which is data, you've got new pressures on data protection, you've got the cloud-scale, a lot of diversity. We haven't even talked about the edge. That's another, sort of, piece of it. But people wanna get more out of their data protection investment. They're kinda sick of just spending on insurance. They'd like to get more value out of it. You've mentioned DevOps before. >> Yep. >> Better access to that data, certainly compliance. Things like GDPR have heightened awareness of things that you can do with the data, not just for backup, and not even just for compliance, but actually getting value out of the data. Your thoughts on that trend? >> Yeah, so from what we see for our customers, they absolutely wanna reuse data, right? So we have a ton of solutions for our customers around very low latency, high performance optimized flash storage in 3PAR and Nimble, different capabilities there, and then being able to take that data and move it off to a hybrid flash array, for example, and then do workloads on that, is something that we're doing today with our customers, natively as well as partnering with some of our ISV ecosystem. And then sort of a couple new use cases that are coming is that I want to be able to have data providence. So I wanna share some of my data, keep that in a colo but be able to apply compute resources, whether those are VMs, whether they are functions, lambda functions, on that data. So we wanna bring the compute to the data, and that's another use case that we're enabling for our customers, and then ultimately using the Cloud as a very, very low-cost, scalable and elastic tier storage for archive and retention. >> One of the things we've been talking about in theCUBE community is you hear that Bromite data is the new oil, and somebody in the community was saying, you know what? It's actually more valuable than oil. When I have oil, I can put it in my house or I can put it my car. But data, the unique attribute of data is I can use it over and over and over again. And again, that puts more pressure on data protection. All right, let's get into some of the hard news here. You've got kind of a four-pack of news that we wanna talk about. Let's start with StoreOnce. It's a platform that you guys announced several years ago. You've been evolving it regularly. What's the StoreOnce news? >> Yes, so in the secondary storage world, we've seen the movement from PBBA, so Purpose-Built Backup Appliances, either morphing into very intelligent software that runs on commodity hardware, or an integrated appliance approach, right? So you've got a integrated DR appliance that seamlessly integrates into your environment. So what we've been doing with StoreOnce, this is our 4th generation system and it's got a lot of great attributes. It has a system, right. It's available in a rote form factor at different capacities. It's also available as a software-defined version so you can run that on PRM, you can run it off PRM. It scales up to multiple petabytes in a software-only version. So we've got a couple different use cases for it, but what I think is one of the key things is that we're providing a very integrated experience for customers who are 3PAR Nimble customers. So it allows you to essentially federate your primary all-flash storage with secondary. And then we actually provide a number of use cases to go out to the Cloud as well. Very easy to use, geared towards the application admin, very integrative. >> So it's bigger, better, faster, and you've got this integration, a confederation as you called it, across different platforms. What's the key technical enabler there? >> Yeah, so we have a really extensible platform for software that we call Recovery Manager Central. Essentially, it provides a number of different use cases and user stories around copy data management. So it's gonna allow you to take application integrated snapshots. It's gonna allow you to do that either in the application framework, so if you're a DVA and you do Arman, you could do it in there, or if you have your own custom applications, you can write to the API. So it allows you to do snapshots, full clones, it'll allow you to do DR, so one box to another similar system, it'll allow you to go from primary to secondary, it'll allow you to archive out to the Cloud, and then all of that in reverse, right? So you can pull all of that data back and it'll give you visibility across all those assets. So, the past where you, as a customer, did all this on your own, right, bought on horizontal lines? We're giving a customer, based on a set of outcomes and applications, a complete vertically-oriented solution. >> Okay, so that's the, really, second piece of hard news. >> Yeah. >> Recovery Manager Central, RMC, 6.0, right-- >> Yeah. >> Is the release that we're on? And that's copy data management essentially-- >> Absolutely. >> Is what you're talking about. It's your catalog, right, so your tech underneath that, and you're applying that now across the portfolio, right? >> Absolutely. So, we're extending that from... We've had, for the past year, that ability to do the copy data management directly from 3PAR. We're extending that to provide that for Nimble. Right, so for Nimble customers that want to use all-flash, they want to use hybrid flash arrays from Nimble, you can go to secondary storage in StoreOnce and then out to the Cloud. >> Okay, and that's what 6.0 enables-- >> Yeah, exactly. >> That Nimble piece and then out to the Cloud. Okay, third piece of news is an ecosystem announcement with Commvault. Take us through that. >> Yeah, so we understand at HPE, given the fact that we're very, very focused on hybrid Cloud and we have a lot of customers that have been our customers for a long time, none of these opportunities are greenfield, right, at the end of the day. So your customers are, they have to integrate with existing solutions, and in a lot of cases, they have some partners for data protection. So one of the things that we've done with this ecosystem is made very public our APIs and how to integrate our systems. So we're storage people, we are data management folks, we do big data, we also do infrastructure. So we know how to manage the infrastructure, move data very seamlessly between primary, secondary, and the Cloud. And what we do is, we open up those APIs in those use cases to all of our partners and our customers. So, in that, we're announcing a number of integrations with Commvault, so they're gonna be integrating with our de-duplication and compression framework, as well as being able to program to what we call Cloud Bank, right? So, we'll be able to, in effect, integrate with Commvault with our primary storage, be able to do rapid recovery from StoreOnce in a number of backup use cases, and then being able to go out to the cloud, all managed through customers' Commvault interface. >> All right, so if I hear you correctly, you've just gotta double click on the Commvault integration. It's not just a go-to-market setup. It's deeper engineering and integration that you guys are doing. >> Absolutely. >> Okay, great. And then, of course the fourth piece is around, so your bases are loaded here, the fourth piece is around the Cloud economics, Cloud pricing model. Your GreenLake model, the utility pricing has gotten a lot of traction. When we're at HPE Discover, customers talking about it, you guys have been leaders there. Talk about GreenLake and how that model fits into this. >> Yeah, so, in the technology talk track we talk about, essentially, how to make this simple and how to make it scalable. At the end of the day, on the buying pattern side, customers expect elasticity, right? So, what we're providing for our customers is when they want to do either a specific integration or implementation of one of those components from a technology perspective, we can provide that. If they're doing a complete re-architecture and want to understand how I can essentially use secondary storage better and I wanna take advantage of all that data that I have sitting in there, I can provide that whole experience to customers as a service, right? So, the primary storage, your secondary storage, the Cloud capacity, even some of the ISV partner software that we provide, I can take that as an entire, vetted solution, with reference architectures and the expertise to implement, and I can give that to a customer in an OpEx as a service elastic purchasing model. And that is very unique for HPE and that's what we've gone to market with GreenLake, and we're gonna be providing more solutions like that, but in this case, we're announcing the fact that you can buy that whole experience, backup as a service, data protection as a service, through GreenLake from HPE. >> So how does that work, Patrick, practically speaking? A customer will, what, commit to some level of capacity, let's say, as an example, and then HPE will put in some extra headroom if, in fact, that's needed, you maybe sit down with the customer and do some kind of capacity planning, or how does that actually work, practically speaking? >> Yeah, absolutely. So we work with customers on the architecture, right, up front. So we have a set of vetted architectures. We try to avoid snowflakes, right, at the end of the day. We want to talk to customers around outcomes. So if a customer is trying to reach outcome XYZ, we come with a recommendation on how to do that. And what we can do is, we don't have very high up-front commitments and it's very elastic in the way that we approach the purchasing experience. So we're able to fit those modules in. And then we've made some number of acquisitions over the last couple years, right? So, on the advisory side, we have Cloud Technology Partners. We come in and talk about how do you do a hybrid cloud backup as a service, right? So we can advise customers on how to do that and build that into the experience. We acquired CloudCruiser, right? So we have the billing and the monitoring and everything that gets very, very granular on how you use that service, and that goes into how we bill customers on a per-metric usage format. And so we're able to package all of that up and we have, this is a kind of a little-known fact, very, very high NPS score for HPE financial services. Right, so the combination of our point next services, advisory, financial services, really puts a lot of meat behind GreenLake as a really good customer experience around elasticity. >> Okay, now all this stuff is gonna be available calendar Q4 of 2018, correct? >> Correct. >> Okay, so if you've seen videos like this before, we like to talk about what it is, how it works, and then we like to bring it home with the business impact. So thinking about these four announcements, and you can drill deeper on any one that you like, but I'd like to start, at least, holistically, what's the business impact of all of this? Obviously, you've got Cloud, we talked about some of the trends up front, but what are you guys telling customers is the real ROI? >> So, I think the big ROI is it moves secondary storage from a TCO conversation to an ROI conversation. Right, so instead of selling customers a solution where you're gonna have data that sits there waiting for something to happen, I'm giving customers a solution that's consumed as a service to be able to mine and utilize that secondary data, right? Whether it's for simple tasks like patch verification, application rollouts, things like that, and actually lowering the cost of your primary storage in doing that, which is usually pretty expensive from a storage perspective. I'm also helping customers save time, right? By providing these integrated experiences from primary to secondary to Cloud and making that automatic, I do help customers save quite a bit in OpEx from an operator perspective. And they can take those resources and move them on to higher impact projects like DevOps, CloudOps, things of that nature. That's a big impact from a customer perspective. >> So there's a CapEx to OpEx move for those customers that want to take advantage of GreenLake. [Patrick] Yep. >> So certain CFOs will like that story. But I think the other piece that, to me anyway, is most important is, especially in this world of digital transformation, I know it's a buzzword, but it's real. When you go to talk to people, they don't wanna do the heavy lifting of infrastructure management, the day-to-day infrastructure management. A lot of mid-size customers, they just don't have the resources to do it anymore. >> Correct. >> And they're under such pressure to digitize, every company wants to become a software company. Benioff talks about that, Satya Nadella talks about that, Antonio talks about digital transformation. And so it's on CEOs' minds. They don't want to be paying people for these mundane tasks. They really wannna shift them to these digital transformation initiatives and drive more business value. >> Absolutely. So you said it best, right, we wanna drive the customer experience to focusing on high-value things that'll enable their digital transformation. So, as a vision, what we're gonna keep on providing, and you've seen that with InfoSight on Nimble, InfoSight for 3PAR, and our vision around AI for the data center, these tasks around data protection, they're repeatable tasks, how to protect data, how to move data, how to mine that data. So if we can provide recommendations and some predictive analytics and experiences to the customers around this, and essentially abstract that and just have the customers focus on defining their SLA, and we're worried about delivering that SLA, then that's a huge win for us and our customers. And that's our vision, that's what we're gonna be providing them. >> Yeah, automation is the key. You've got some tools in the toolkit to help do that and it's just gonna escalate from here. It feels like we're on the early part of the S-curve and it's just gonna really spike. >> Absolutely. >> All right, Patrick. Hey, thanks for coming in and taking us through this news, and congratulations on getting this stuff done and we'll be watching the marketplace. Thank you. >> Great. Kudos to the team, great announcement, and we look forward to working with you guys again. >> All right, thanks for watching, everybody. We'll see you next time. This is Dave Vellante on theCUBE. (gentle music)
SUMMARY :
From the SiliconANGLE Media Office Great to see you again. It's a big buzzword in the industry but it's real. So the winds of change in secondary storage for example, to be able to burst out there So the piece I want to bring to the And let's expand the definition of Cloud the ability to move data from point A to point B So you got data, you got digital, which is data, of things that you can do with the data, So we have a ton of solutions for our customers It's a platform that you guys announced So it allows you to essentially federate What's the key technical enabler there? primary to secondary, it'll allow you to Okay, so that's the, really, second piece across the portfolio, right? We're extending that to provide that for Nimble. That Nimble piece and then out to the Cloud. So one of the things that we've done that you guys are doing. Talk about GreenLake and how that model fits into this. and I can give that to a customer in an OpEx and build that into the experience. of the trends up front, but what are you guys and actually lowering the cost of your primary So there's a CapEx to OpEx move for those have the resources to do it anymore. and drive more business value. the customer experience to focusing on Yeah, automation is the key. this stuff done and we'll be watching the marketplace. and we look forward to working with you guys again. We'll see you next time.
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Infrastructure For Big Data Workloads
>> From the SiliconANGLE media office in Boston, Massachusetts, it's theCUBE! Now, here's your host, Dave Vellante. >> Hi, everybody, welcome to this special CUBE Conversation. You know, big data workloads have evolved, and the infrastructure that runs big data workloads is also evolving. Big data, AI, other emerging workloads need infrastructure that can keep up. Welcome to this special CUBE Conversation with Patrick Osborne, who's the vice president and GM of big data and secondary storage at Hewlett Packard Enterprise, @patrick_osborne. Great to see you again, thanks for coming on. >> Great, love to be back here. >> As I said up front, big data's changing. It's evolving, and the infrastructure has to also evolve. What are you seeing, Patrick, and what's HPE seeing in terms of the market forces right now driving big data and analytics? >> Well, some of the things that we see in the data center, there is a continuous move to move from bare metal to virtualized. Everyone's on that train. To containerization of existing apps, your apps of record, business, mission-critical apps. But really, what a lot of folks are doing right now is adding additional services to those applications, those data sets, so, new ways to interact, new apps. A lot of those are being developed with a lot of techniques that revolve around big data and analytics. We're definitely seeing the pressure to modernize what you have on-prem today, but you know, you can't sit there and be static. You gotta provide new services around what you're doing for your customers. A lot of those are coming in the form of this Mode 2 type of application development. >> One of the things that we're seeing, everybody talks about digital transformation. It's the hot buzzword of the day. To us, digital means data first. Presumably, you're seeing that. Are organizations organizing around their data, and what does that mean for infrastructure? >> Yeah, absolutely. We see a lot of folks employing not only technology to do that. They're doing organizational techniques, so, peak teams. You know, bringing together a lot of different functions. Also, too, organizing around the data has become very different right now, that you've got data out on the edge, right? It's coming into the core. A lot of folks are moving some of their edge to the cloud, or even their core to the cloud. You gotta make a lot of decisions and be able to organize around a pretty complex set of places, physical and virtual, where your data's gonna lie. >> There's a lot of talk, too, about the data pipeline. The data pipeline used to be, you had an enterprise data warehouse, and the pipeline was, you'd go through a few people that would build some cubes and then they'd hand off a bunch of reports. The data pipeline, it's getting much more complex. You've got the edge coming in, you've got, you know, core. You've got the cloud, which can be on-prem or public cloud. Talk about the evolution of the data pipeline and what that means for infrastructure and big data workloads. >> For a lot of our customers, and we've got a pretty interesting business here at HPE. We do a lot with the Intelligent Edge, so, our Edgeline servers in Aruba, where a a lot of the data is sitting outside of the traditional data center. Then we have what's going on in the core, which, for a lot of customers, they are moving from either traditional EDW, right, or even Hadoop 1.0 if they started that transformation five to seven years ago, to, a lot of things are happening now in real time, or a combination thereof. The data types are pretty dynamic. Some of that is always getting processed out on the edge. Results are getting sent back to the core. We're also seeing a lot of folks move to real-time data analytics, or some people call it fast data. That sits in your core data center, so utilizing things like Kafka and Spark. A lot of the techniques for persistent storage are brand new. What it boils down to is, it's an opportunity, but it's also very complex for our customers. >> What about some of the technical trends behind what's going on with big data? I mean, you've got sprawl, with both data sprawl, you've got workload sprawl. You got developers that are dealing with a lot of complex tooling. What are you guys seeing there, in terms of the big mega-trends? >> We have, as you know, HPE has quite a few customers in the mid-range in enterprise segments. We have some customers that are very tech-forward. A lot of those customers are moving from this, you know, Hadoop 1.0, Hadoop 2.0 system to a set of essentially mixed workloads that are very multi-tenant. We see customers that have, essentially, a mix of batch-oriented workloads. Now they're introducing these streaming type of workloads to folks who are bringing in things like TensorFlow and GPGPUs, and they're trying to apply some of the techniques of AI and ML into those clusters. What we're seeing right now is that that is causing a lot of complexity, not only in the way you do your apps, but the number of applications and the number of tenants who use that data. It's getting used all day long for various different, so now what we're seeing is it's grown up. It started as an opportunity, a science project, the POC. Now it's business-critical. Becoming, now, it's very mission-critical for a lot of the services that drives. >> Am I correct that those diverse workloads used to require a bespoke set of infrastructure that was very siloed? I'm inferring that technology today will allow you to bring those workloads together on a single platform. Is that correct? >> A couple of things that we offer, and we've been helping customers to get off the complexity train, but provide them flexibility and elasticity is, a lot of the workloads that we did in the past were either very vertically-focused and integrated. One app server, networking, storage, to, you know, the beginning of the analytics phase was really around symmetrical clusters and scaling them out. Now we've got a very rich and diverse set of components and infrastructure that can essentially allow a customer to make a data lake that's very scalable. Compute, storage-oriented nodes, GPU-oriented nodes, so it's very flexible and helps us, helps the customers take complexity out of their environment. >> In thinking about, when you talk to customers, what are they struggling with, specifically as it relates to infrastructure? Again, we talked about tooling. I mean, Hadoop is well-known for the complexity of the tooling. But specifically from an infrastructure standpoint, what are the big complaints that you hear? >> A couple things that we hear is that my budget's flat for the next year or couple years, right? We talked earlier in the conversation about, I have to modernize, virtualize, containerizing my existing apps, that means I have to introduce new services as well with a very different type of DevOps, you know, mode of operations. That's all with the existing staff, right? That's the number one issue that we hear from the customers. Anything that we can do to help increase the velocity of deployment through automation. We hear now, frankly, the battle is for whether I'm gonna run these type of workloads on-prem versus off-prem. We have a set of technology as well as services, enabling services with Pointnext. You remember the acquisition we made around cloud technology partners to right-place where those workloads are gonna go and become like a broker in that conversation and assist customers to make that transition and then, ultimately, give them an elastic platform that's gonna scale for the diverse set of workloads that's well-known, sized, easy to deploy. >> As you get all this data, and the data's, you know, Hadoop, it sorta blew up the data model. Said, "Okay, we'll leave the data where it is, "we'll bring the compute there." You had a lot of skunk works projects growing. What about governance, security, compliance? As you have data sprawl, how are customers handling that challenge? Is it a challenge? >> Yeah, it certainly is a challenge. I mean, we've gone through it just recently with, you know, GDPR is implemented. You gotta think about how that's gonna fit into your workflow, and certainly security. The big thing that we see, certainly, is around if the data's residing outside of your traditional data center, that's a big issue. For us, when we have Edgeline servers, certainly a lot of things are coming in over wireless, there's a big buildout in advent of 5G coming out. That certainly is an area that customers are very concerned about in terms of who has their data, who has access to it, how can you tag it, how can you make sure it's secure. That's a big part of what we're trying to provide here at HPE. >> What specifically is HPE doing to address these problems? Products, services, partnerships, maybe you could talk about that a little bit. Maybe even start with, you know, what's your philosophy on infrastructure for big data and AI workloads? >> I mean, for us, we've over the last two years have really concentrated on essentially two areas. We have the Intelligent Edge, which is, certainly, it's been enabled by fantastic growth with our Aruba products in the networks in space and our Edgeline systems, so, being able to take that type of compute and get it as far out to the edge as possible. The other piece of it is around making hybrid IT simple, right? In that area, we wanna provide a very flexible, yet easy-to-deploy set of infrastructure for big data and AI workloads. We have this concept of the Elastic Platform for Analytics. It helps customers deploy that for a whole myriad of requirements. Very compute-oriented, storage-oriented, GPUs, cold and warm data lakes, for that matter. And the third area, what we've really focused on is the ecosystem that we bring to our customers as a portfolio company is evolving rapidly. As you know, in this big data and analytics workload space, the software development portion of it is super dynamic. If we can bring a vetted, well-known ecosystem to our customers as part of a solution with advisory services, that's definitely one of the key pieces that our customers love to come to HP for. >> What about partnerships around things like containers and simplifying the developer experience? >> I mean, we've been pretty public about some of our efforts in this area around OneSphere, and some of these, the models around, certainly, advisory services in this area with some recent acquisitions. For us, it's all about automation, and then we wanna be able to provide that experience to the customers, whether they want to develop those apps and deploy on-prem. You know, we love that. I think you guys tag it as true private cloud. But we know that the reality is, most people are embracing very quickly a hybrid cloud model. Given the ability to take those apps, develop them, put them on-prem, run them off-prem is pretty key for OneSphere. >> I remember Antonio Neri, when you guys announced Apollo, and you had the astronaut there. Antonio was just a lowly GM and VP at the time, and now he's, of course, CEO. Who knows what's in the future? But Apollo, generally at the time, it was like, okay, this is a high-performance computing system. We've talked about those worlds, HPC and big data coming together. Where does a system like Apollo fit in this world of big data workloads? >> Yeah, so we have a very wide product line for Apollo that helps, you know, some of them are very tailored to specific workloads. If you take a look at the way that people are deploying these infrastructures now, multi-tenant with many different workloads. We allow for some compute-focused systems, like the Apollo 2000. We have very balanced systems, the Apollo 4200, that allow a very good mix of CPU, memory, and now customers are certainly moving to flash and storage-class memory for these type of workloads. And then, Apollo 6500 were some of the newer systems that we have. Big memory footprint, NVIDIA GPUs allowing you to do very high calculations rates for AI and ML workloads. We take that and we aggregate that together. We've made some recent acquisitions, like Plexxi, for example. A big part of this is around simplification of the networking experience. You can probably see into the future of automation of the networking level, automation of the compute and storage level, and then having a very large and scalable data lake for customers' data repositories. Object, file, HTFS, some pretty interesting trends in that space. >> Yeah, I'm actually really super excited about the Plexxi acquisition. I think it's because flash, it used to be the bottleneck was the spinning disk, flash pushes the bottleneck largely to the network. Plexxi gonna allow you guys to scale, and I think actually leapfrog some of the other hyperconverged players that are out there. So, super excited to see what you guys do with that acquisition. It sounds like your focus is on optimizing the design for I/O. I'm sure flash fits in there as well. >> And that's a huge accelerator for, even when you take a look at our storage business, right? So, 3PAR, Nimble, All-Flash, certainly moving to NVMe and storage-class memory for acceleration of other types of big data databases. Even though we're talking about Hadoop today, right now, certainly SAP HANA, scale-out databases, Oracle, SQL, all these things play a part in the customer's infrastructure. >> Okay, so you were talking before about, a little bit about GPUs. What is this HPE Elastic Platform for big data analytics? What's that all about? >> I mean, we have a lot of the sizing and scalability falls on the shoulders of our customers in this space, especially in some of these new areas. What we've done is, we have, it's a product/a concept, and what we do is we have this, it's called the Elastic Platform for Analytics. It allows, with all those different components that I rattled off, all great systems in of their own, but when it comes to very complex multi-tenant workloads, what we do is try to take the mystery out of that for our customers, to be able to deploy that cookie-cutter module. We're even gonna get to a place pretty soon where we're able to offer that as a consumption-based service so you don't have to choose for an elastic type of acquisition experience between on-prem and off-prem. We're gonna provide that as well. It's not only a set of products. It's reference architectures. We do a lot of sizing with our partners. The Hortonworks, CloudEra's, MapR's, and a lot of the things that are out in the open source world. It's pretty good. >> We've been covering big data, as you know, for a long, long time. The early days of big data was like, "Oh, this is great, "we're just gonna put white boxes out there "and off the shelf storage!" Well, that changed as big data got, workloads became more enterprise, mainstream, they needed to be enterprise-ready. But my question to you is, okay, I hear you. You got products, you got services, you got perspectives, a philosophy. Obviously, you wanna sell some stuff. What has HPE done internally with regard to big data? How have you transformed your own business? >> For us, we wanna provide a really rich experience, not just products. To do that, you need to provide a set of services and automation, and what we've done is, with products and solutions like InfoSight, we've been able to, we call it AI for the Data Center, or certainly, the tagline of predictive analytics is something that Nimble's brought to the table for a long time. To provide that level of services, InfoSight, predictive analytics, AI for the Data Center, we're running our own big data infrastructure. It started a number of years ago even on our 3PAR platforms and other products, where we had scale-up databases. We moved and transitioned to batch-oriented Hadoop. Now we're fully embedded with real-time streaming analytics that come in every day, all day long, from our customers and telemetry. We're using AI and ML techniques to not only improve on what we've done that's certainly automating for the support experience, and making it easy to manage the platforms, but now introducing things like learning, automation engines, the recommendation engines for various things for our customers to take, essentially, the hands-on approach of managing the products and automate it and put into the products. So, for us, we've gone through a multi-phase, multi-year transition that's brought in things like Kafka and Spark and Elasticsearch. We're using all these techniques in our system to provide new services for our customers as well. >> Okay, great. You're practitioners, you got some street cred. >> Absolutely. >> Can I come back on InfoSight for a minute? It came through an acquisition of Nimble. It seems to us that you're a little bit ahead, and maybe you say a lot a bit ahead of the competition with regard to that capability. How do you see it? Where do you see InfoSight being applied across the portfolio, and how much of a lead do you think you have on competitors? >> I'm paranoid, so I don't think we ever have a good enough lead, right? You always gotta stay grinding on that front. But we think we have a really good product. You know, it speaks for itself. A lot of the customers love it. We've applied it to 3PAR, for example, so we came out with some, we have VMVision for a 3PAR that's based on InfoSight. We've got some things in the works for other product lines that are imminent pretty soon. You can think about what we've done for Nimble and 3PAR, we can apply similar type of logic to Elastic Platform for Analytics, like running at that type of cluster scale to automate a number of items that are pretty pedantic for the customers to manage. There's a lot of work going on within HPE to scale that as a service that we provide with most of our products. >> Okay, so where can I get more information on your big data offerings and what you guys are doing in that space? >> Yeah, so, we have, you can always go to hp.com/bigdata. We've got some really great information out there. We're in our run-up to our big end user event that we do every June in Las Vegas. It's HPE Discover. We have about 15,000 of our customers and trusted partners there, and we'll be doing a number of talks. I'm doing some work there with a British telecom. We'll give some great talks. Those'll be available online virtually, so you'll hear about not only what we're doing with our own InfoSight and big data services, but how other customers like BTE and 21st Century Fox and other folks are applying some of these techniques and making a big difference for their business as well. >> That's June 19th to the 21st. It's at the Sands Convention Center in between the Palazzo and the Venetian, so it's a good conference. Definitely check that out live if you can, or if not, you can all watch online. Excellent, Patrick, thanks so much for coming on and sharing with us this big data evolution. We'll be watching. >> Yeah, absolutely. >> And thank you for watcihing, everybody. We'll see you next time. This is Dave Vellante for theCUBE. (fast techno music)
SUMMARY :
From the SiliconANGLE media office and the infrastructure that in terms of the market forces right now to modernize what you have on-prem today, One of the things that we're seeing, of their edge to the cloud, of the data pipeline A lot of the techniques What about some of the technical trends for a lot of the services that drives. Am I correct that a lot of the workloads for the complexity of the tooling. You remember the acquisition we made the data where it is, is around if the data's residing outside Maybe even start with, you know, of the Elastic Platform for Analytics. Given the ability to take those apps, GM and VP at the time, automation of the compute So, super excited to see what you guys do in the customer's infrastructure. Okay, so you were talking before about, and a lot of the things But my question to you and automate it and put into the products. you got some street cred. bit ahead of the competition for the customers to manage. that we do every June in Las Vegas. Definitely check that out live if you can, We'll see you next time.
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Marc Crespi, ExaGrid | VeeamON 2018
>> 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)
SUMMARY :
Brought to you by VeeamOn. Good to see you again, Marc. Thanks, great to be with you guys again. Yeah, it's a great city. and really deepen the relationship. What does that all mean to your customers? to be honest, of the equation. Marc, one of the things we're watching at this show And our solution, the way it scales Talk a little bit more about your solution, of that data because of the data deduplication impact. You have software, but you don't do backup software. That's one of the reasons we have I think back to a number of years ago deduplication You know, all compression's kind of the same of the data reduction is a function of the algorithm... Which I'm sure is true, but you're saying the algorithm the size of the objects that you examine is favorable to that. and the more aggressive, the more aggressive is going to Some cases five to 10 times better. So the way we look at encryption, of the need for encryption and I'm going to short those stocks. Yeah, you might want to change your bank. Got to ask you. Three for three on that. he's the GOAT and he's going to stay the GOAT. Giselle said Tom Brady can't catch the ball. for the Patriots to hang on to Garoppolo, So I'm happy to see him play. I'm a fan of Garoppolo. I mean, Brady, you know, 40 plus years old. to be a backup, and I agree with Marc. One of 'em had to go, right? It's always a pleasure to see you guys. We'll be back with our next guest
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