>>Welcome back to HPD discovered 2021. The virtual edition. My name is Dave a lot and you're watching the cube. We're here with Omar assad is the vice president, GM of H P S H C I and primary storage and data management business. And Sandeep Singh was the vice president of marketing for HP storage division. Welcome gents. Great to see you. >>Great to be here. Dave, >>it's a pleasure to be here today. >>Hey, so uh, last month you guys, you made a big announcement and and now you're, you know, shining the spotlight on that here at discover Cindy. Maybe you can give us a quick recap, what do we need to know? >>Yeah, Dave. We announced that we're expanding HB Green Lake by transforming HB storage to a cloud native software defined data services business. We unveiled a new vision for data that accelerates data dream of transformation for our customers. Uh and it introduced a and we introduced the data services platform that consists of two game changing innovations are first announcement was data services cloud console. It's a SAS based console that delivers the cut operational agility and it's designed to unify data operations through a suite of cloud data services. Our second announcement is H P E electra. It's cloud native data infrastructure to power your data edge to cloud. And it's managed natively with data services cloud console to bring that cloud operational model to our customers wherever their data lives. Together with the data services >>platform. >>Hp Green Green Lake brings that cloud experience to our customers data across edge and on premises environment and lays the foundation for our customers to shift from managing storage to managing data. >>Well, I think it lays the foundation for the next decade. You know, when we entered this past decade, we we we we keep we use terms like software led that that sort of morphed into. So the software defined data center containers with kubernetes, let's zoom out for a minute. If we can homer, maybe you could describe the problems that you're trying to address with this announcement. >>Thanks dave. It's always a pleasure talking to you on these topics. So in my role as general manager for primary storage, I speak with the hundreds of customers across the board and I consistently hear that data is at the heart of what our customers are doing and they're looking for a data driven transformative approach to their business. But as they engage on these things, there are two challenges that they consistently faced. The first one is that managing storage at scale Is rife with complexity. So while storage has gotten faster in the last 20 years, managing a single array or maybe two or three arrays has gotten simpler over time. But managing storage at scale when you deploy fleet, so storage as customers continue to gather, store and life cycle of that data. This process is extremely frustrating for customers. Still I. T. Administrators are firefighting, they're unable to innovate for their business because now data spans all the way from edge to corridor cloud. And then with the advent of public cloud there's another dimension of multi cloud that has been added to their data sprawl. And then secondly what what we what we consistently hear is that idea administrators need to shift from managing storage to managing data. What this basically means is that I. T. Has a desire to mobilize, protect and provision data seamlessly across its lifecycle and across the locations that it is stored at. This ensures that I. D. Leaders uh and also people within the organization understand the context of the data that they store and they operate upon. Yet data management is an extremely big challenge and it is a web of fragmented data silos across processes across infrastructure all the way from test and dev to administration uh to production uh to back up to lifecycle data advantage. Uh And so up till now data management was tied up with storage management and this needs to change for our customers especially with the diversity of the application workloads as they're growing and as customers are expanding their footprint across a multi cloud environment, >>just had to almost um response there. We recently conducted a survey that was actually done by E. S. She. Um and that was a survey of IT. decision makers. And it's interesting what it showcased, 93% of the respondents indicated that storage and data management complexity is impeding their digital transformation. 95% of the respondents indicated that solving storage and data management complexity is a top 10 business initiative for them And 94% want to bring the cloud experience on premises. >>You know, I'll chime in. I think as you guys move to the sort of software world and container world affinity to developers homer. You talked about, you know, things like data protection and we talk about security being bolted on all the time. Now. It's designed in it's it's done at sort of the point of creation, not as an afterthought and that's a big change that we see coming. Uh Let's talk about, you know what also needs to change as customers make the move from this idea of managing storage to to managing data or maybe you can take that one. >>That's a that's a very interesting problem. Right. What are the things that have to be true in order for us to move into this new data management model? So, dave one of the things that the public cloud got right is the cloud operational model which sets the standard for agility and a fast pace for our customers in a classic I. T. On prime model. If you ever wanted to stand up an application or if you were thinking about standing up a particular workload, uh you're going to file a series of I. T. Tickets uh And then you are at the mercy of whatever complex processes exist within organization and and depending on what the level of approvals are within a particular organization, standing up a workload can take days, weeks or even months in certain cases. So what cloud did was a rock that level of simplicity for someone that wanted to instead she ate an app. This means that the provision of underlying infrastructure that makes that workload possible needs to be reduced to minutes from days and weeks. But so what we are intending to do over here is to bring the best of both worlds together so that the cloud experience can be experienced everywhere with ease and simplicity and the customers don't need to change their operating model. So it's blending the two together. And that's what we are trying to usher in into this new era where we start to differentiate between data management and storage management as two independent. Yes, >>Great. Thank you for that. Omer. So deep. I wonder if you could share with the audience, you know, the vision that you guys unveiled, What does it look like? How are you making it actually substantive and and real? >>Yeah. David, That's also great question. Um across the board it's time to reimagine data management. Everything that homer shared. Those challenges are leading to customers needing to break down the silos and complexity that plagues these distributed data environments. And our vision is to deliver a new data experience that helps customers unleash the power of data. We call this vision unified data obs Unified Data Ops integrates data centric policies to streamline data management cloud native control to bring the cloud operational model to where customers data labs and a I driven insights to make the infrastructure invisible. It delivers a new data experience to simplify and bring that agility of cloud to data infrastructure. Streamline data management and help customers innovate faster than ever before. We're making the promise of unified Data Ops Real by transforming H P E storage to a cloud native software defined data services business and introducing a data services platform that expands Hve Green Lake. >>I mean, you know, you talk about the complexity, I see, I look at it as you kind of almost embracing the complexity saying, look, it's gonna keep getting more complex as the cloud expands to the edge on prem Cross cloud, it gets more complex underneath. What you're doing is you're almost embracing that complexity, putting a layer over it and hiding that complexity from from the end customer that and so they can spend their time doing other things over. I wonder if you can maybe talk a little bit more about the data services console, is it sort of another, you know, software layer to manage infrastructure? What exactly is it? >>It's a lot more than that dave and you're you're 100% right. It's basically we're attempting in this release to attack that complexity. Head on. So simply put data services. Cloud console is a SAS based console that delivers cloud operational model and cloud operational agility uh to our customers, it unifies data operations through a series of cloud data services that are delivered on top of this console to our customers in a continuous innovation stream. Uh And what we have done is going back to the point that I made earlier separating storage and data management and putting the strong suites of each of those together into the SAS delivered console for our customers. So what we have done is we have separated data and infrastructure management away from physical hardware to provide a comprehensive and a unified approach to managing data and infrastructure wherever it lives from a customer's perspective, it could be at the edge, it could be in a coal. Oh, it could be in their data center or it could be a bunch of data services that are deployed within the public cloud. So now our customers with data services, cloud console can manage the entire life cycle of their data from all the way from deployment, upgrading and optimizing it uh from a single console from anywhere in the world. Uh This console is designed to streamline data management with cloud data services that enable access to data, It allows for policy-based data protection, it allows for an organizational wide search on top of your storage assets. And we deliver basically a 360° visibility to all your data from a single console that the customer can experience from anywhere. So, so if you look at the journey, the way we're deciding to deliver this. So the first in its first incarnation, uh data services, cloud console gives you infrastructure and cloud data services to start to do data management along with that. But this is that foundation that we are placing in front of our customers, the SAS console through which we get touch our customers on a daily basis. And now as our customers get access to the SAAS platform on the back end, we will continue to roll in additional services throughout the years on a true SAS based innovation base for our customers. And and these services can will be will be ranging all the way from data protection to multiple out data management, all the way to visibility all the way to understanding the context of your data as it's stored across your enterprise. And in addition to that, we're offering a consistent, revised, unified API which allows for our customers to build automation against their storage infrastructure without ever worrying about that. As infrastructure changes. Uh the A P I proof points are going to break for them. That is never going to happen because they are going to be programming to a single SAS based aPI interface from now on. >>Right. And that brings in this idea of infrastructures coding because you talk about as a service to talk about Green Lake and and my question is always okay. Tell me what's behind that. And if and if and if and if you're talking about boxes and and widgets, that's a it's a problem. And you're not you're talking about services and A P. I. S and microservices and that's really the future model. And infrastructure is code and ultimately data as code is really part of that. So, All right. So you guys, I know some of your branding folks, you guys give deep thought uh, to this. So the second part of the announcement is the new product brands and deep maybe you can talk about that a little bit. >>Sure. Ultimately delivering the cloud operational model requires cognitive data infrastructure and that has been engineered to be natively managed from the cloud. And that's why we have also introduced H. P. E. Electra. Omar. Can you perhaps described HB electro even more? >>Absolutely. Thank you. Sandy. Uh, so with with HB Electoral we're launching a new brand of cloud native hardware infrastructure to power our customers data all the way from edge to the core to the cloud. The releases are smaller models for the edge then at the same time having models for the data center and then expanding those services into the public cloud as well. Right. All these hardware devices, Electoral hardware devices are cloud native. Empowered by our Data services. Cloud Council. We're announcing two models with this launch H. P. E. Electra 9000. Uh, this is for our mission critical workloads. It has its history and bases in H P E primera. It comes with 100% availability guarantee. Uh It's the first of its type in the industry. It comes with standard support contract, No special verb is required. And then we're also launching HB electoral 6000. Uh These are based in our history of uh nimble storage systems. Uh These these are for business critical applications, especially for that mid range of the storage market, optimizing price, performance and efficiency. Both of these systems are full envy, any storage powered by our timeless capabilities with data in place upgrades. And then they both deliver a unified infrastructure and data management experience through the data services, cloud console. Uh and and and at the back end, unified ai Ops experience with H P E info site is seamlessly blended in along with the offering for our customers. >>So this is what I was talking about before. It's sort of not your grandfather's storage business anymore. Is this is this is this is something that is part of that, that unified vision, that layer that I talked about. The AP is the program ability. So you're you're reaching into new territory here. Maybe you can give us an example of how the customers experience what that looks like. >>Excellent, loved her Dave. So essentially what we're doing is we're changing the storage experience to a true cloud operational model for our customers. These recent announcements that we just went through along with, indeed they expand the cloud experience that our customers get with storage as a service with HPD Green Lake. So a couple of examples to make this real. So the first of all is simplified deployment. Uh, so I t no longer has to go through complex startup and deployment processes. Now, all you need to do is these systems shipped and delivered to the customer's data center. Operational staff just need to rack and stack and then leave, connect the power cable, connect the network cable. And the job is done from that point onwards, data services console takes over where you can onboard these systems, you can provision these systems if you have a pre existing organization wide security as well as standard profile setup in data services console, we can automatically apply those on your behalf and bring these systems online. From a customer's perspective, they can be anywhere in the world to onboard these systems, they could be driving in a car, they could be sitting on a beach uh And and you know, these systems are automatically on boarded through this cloud operational model which is delivered through the SAAS application for our customers. Another big example. All that I'd like to shed light on is intent based provisioning. Uh So Dave typically provisioning a workload within a data center is an extremely spreadsheet driven trial and error kind of a task. Which system do I land it on? Uh Is my existing sl is going to be affected which systems that loaded, which systems are loaded enough that I put this additional workload on it and the performance doesn't take. All of these decisions are trial and error on a constant basis with cloud data services console along with the electron new systems that are constantly in a loop back information feeding uh Typical analytics to the console. All you need to do is to describe the type of the workload and the intent of the workload in terms of block size S. L. A. That you would like to experience at that point. Data services console consults with intra site at the back end. We run through thousands of data points that are constantly being given to us by your fleet and we come back with a few recommendations. You can accept the recommendation and at that time we go ahead and fully deploy this workload on your behalf or you can specify a particular system and then we will try to enforce the S. L. A. On that system. So it completely eliminates the guesswork and the planning that you have to do in this regard. Uh And last but not the least. Uh you know, one of the most important things is, you know, upgrades has been a huge problem for our customers. Uh And typically oftentimes when you're not in this constant, you know, loop back communication with your customers. It often is a big challenge to identify which release or which bug fix or which update goes on to which particular machine. All of that has been completely taken away from our customers and fully automated. Uh we run thousands of signatures across are installed base. We identify which upgrades need to be curated for which machines in a fleet for a particular customer. And then if it applies to that customer we presented, and if the customer accepts it, we automatically go ahead and upgrade the system and and and last, but not the least from a global management perspective. Now, a customer has an independent data view of their data estate, independent from a storage estate. And data services. Council can blend the two to give a consistent view or you can just look at the fleet view or the data view. >>It's kind of the Holy Grail. I mean I've been in this business a long time and I think I t. People have dreamt about you know this kind of capability for for a long long time. I wonder if we could sort of stay on the customers for a moment here and and talk about what's enabled. Now everybody's talking digital transformation that I joke about the joke. Not funny. The force marched to digital with Covid uh and we really wasn't planned for but the customers really want to drive now that digital transfer some of them are on the back burner and now they're moving to the front burner. What are the outcomes that are that are enabled here? Omar. >>Excellent. So so on on a typical basis for a traditional I. T. Customer, this cloud operational model means that you know information technology staff can move a lot faster and they can be a lot more productive on the things that are directly relevant to their business. They can get up to 99% of the savings back to spend more time on strategic projects or best of all spend time with their families rather than managing and upgrading infrastructure and fleets of infrastructure. Right. For line of business owners, the new experience means that their data infrastructure can be presented can be provision where the self service on demand type of capability. Uh They necessarily don't have to be in the data center to be able to make those decisions. Capacity management, performance management, all of that is died in and presented to them wherever they are easy to consume SAS based models and especially for data innovators, whether it's D B A s, uh whether it's data analysts, they can start to consume infrastructure and ultimately data as a code to speed up their app development because again, the context that we're bringing forward is the context of data decoupling it from. Actually, storage management, storage management and data management are now two separate domains that can be presented through a single console to tie the end to end picture for a customer. But at the end of the day, what we have felt is that customers really really want to rely and move forward with the data management and leave infrastructure management to machine oriented task, which we have completely automated on their behalf. >>So I'm sure you've heard you got the memo about, you know, H H P going all in on as a service. Uh it's clear that the companies all in. How does this announcement fit in to that overall mission, Sandeep >>Dave. We believe the future is edge to cloud and our mission is to be the edge to cloud platform as a service company and as as HB transforms HP Green Lake is our unified cloud platform. Hp Green Link is how we deliver cloud services and agile cloud experiences to customers, applications and data across the edge to cloud. With the storage announcement that we made recently, we announced that we're expanding HB Green Lake with as a service transformation of the HPV storage business to a cloud native software defined data services business. And this expands storage as a service delivering full cloud experience to our customers data across edge and on prem environment across the board were committed to being a strategic partner for every one of our customers and helping them accelerate their digital transformation. >>Yeah, that's where the puck is going guys. Hey as always great conversation with with our friends from HP storage. Thanks so much for the collaboration and congratulations on the announcements and I know you're not done yet. >>Thanks. Dave. Thanks. Dave. All right. Dave. It's a pleasure to be here. >>You're very welcome. And thank you for being with us for hp. You discovered 2021. You're watching the cube, the leader digital check coverage. Keep it right there, but right back. >>Mhm. Mhm.

>>Welcome back to HPD discovered 2021. The virtual edition. My name is Dave Volonte and you're watching the cube. We're here with Omar assad is the vice president GM of H P S H C I and primary storage and data management business. And Sandeep Singh was the vice president of marketing for HP storage division. Welcome gents. Great to see you. >>Great to be here. Dave, >>It's a pleasure to be here today. >>Hey, so uh, last month you guys, you made a big announcement and and now you're, you know, shining the spotlight on that here at discover Cindy. Maybe you can give us a quick recap, what do we need to know? >>Yeah, Dave. We announced that we're expanding HB Green Lake by transforming HB storage to a cloud native software defined data services business. We unveiled a new vision for data that accelerates data, dream of transformation for our customers. Uh and it introduced a and we introduced the data services platform that consists of two game changing innovations are first announcement was Data services cloud console. It's a SAS based console that delivers the cut operational agility and it's designed to unify data operations through a suite of cloud data services. Our 2nd announcement is HPE. Electra. It's cloud native data infrastructure to power your data edge to cloud. And it's managed natively with data services cloud console to bring that cloud operational model to our customers wherever their data lives together with the data services platform. Hp Green Green Lake brings that cloud experience to our customers data across edge and on premises environment and lays the foundation for our customers to shift from managing storage to managing data. >>Well, I think it lays the foundation for the next decade. You know, when we entered this past decade, we we were Ricky bobby's terms like software led that that sort of morphed into. So the software defined data center containers with kubernetes, Let's zoom out for a minute. If we can homer maybe you could describe the problems that you're trying to address with this announcement. >>Thanks dave. It's always a pleasure talking to you on these topics. So in my role as general manager for primary storage, I speak with the hundreds of customers across the board and I consistently hear that data is at the heart of what our customers are doing and they're looking for a data driven transformative approach to their business. But as they engage on these things, there are two challenges that they consistently faced. The first one is that managing storage at scale Is rife with complexity. So while storage has gotten faster in the last 20 years, managing a single array or maybe two or three arrays has gotten simpler over time. But managing storage at scale when you deploy fleet. So storage as customers continue to gather, store and lifecycle that data. This process is extremely frustrating for customers. Still I. T. Administrators are firefighting, they're unable to innovate for their business because now data spans all the way from edge to corridor cloud. And then with the advent of public cloud there's another dimension of multi cloud that has been added to their data sprawl. And then secondly what what we what we consistently hear is that idea administrators need to shift from managing storage to managing data. What this basically means is that I. D. Has a desire to mobilize, protect and provision data seamlessly across its lifecycle and across the locations that it is stored at. Uh This ensures that I. D. Leaders uh and also people within the organization understand the context of the data that they store and they operate upon. Yet data management is an extremely big challenge and it is a web of fragmented data silos across processes across infrastructure all the way from test and dev to administration uh to production uh to back up to lifecycle data management. Uh And so up till now data management was tied up with storage management and this needs to change for our customers especially with the diversity of the application workloads as they're growing and as customers are expanding their footprint across a multi cloud environment >>just to add to almost uh response there. We recently conducted a survey that was actually done by E. S. She. Um and that was a survey of IT. decision makers. And it's interesting what it showcased, 93% of the respondents indicated that storage and data management complexity is impeding their digital transformation. 95% of the respondents indicated that solving storage and data management complexity is a top 10 business initiative for them and 94% want to bring the cloud experience on premises, >>you know, al china. And I think as you guys move to the sort of software world and container world affinity to developers homer, you talked about, you know, things like data protection and we talk about security being bolted on all the time. Now. It's designed in it's it's done at sort of the point of creation, not as an afterthought. And that's a big change that we see coming. Uh But let's talk about, you know, what also needs to change as customers make the move from this idea of managing storage to to managing data or maybe you can take that one. >>That's a that's a that's a very interesting problem. Right. What are the things that have to be true in order for us to move into this new data management model? So, dave one of the things that the public cloud got right is the cloud operational model uh which sets the standard for agility and a fast pace for our customers in a classic I. T. On prime model, if you ever wanted to stand up an application or if you were thinking about standing up a particular workload, uh you're going to file a series of I. T. Tickets and then you're at the mercy of whatever complex processes exist within organization and and depending on what the level of approvals are within a particular organization, standing up a workload can take days, weeks or even months in certain cases. So what cloud did was they brought that level of simplicity for someone that wanted to instead she ate an app. This means that the provisioning of underlying infrastructure that makes that workload possible needs to be reduced to minutes from days and weeks. But so what we are intending to do over here is to bring the best of both worlds together so that the cloud experience can be experienced everywhere with ease and simplicity and the customers don't need to change their operating model. So it's blending the two together. And that's what we are trying to usher in into this new era where we start to differentiate between data management and storage management as two independent things. >>Great, thank you for that. Omer sometimes I wonder if you could share with the audience, you know, the vision that you guys unveiled, What does it look like? How are you making it actually substantive and and real? >>Yeah. Dave. That's also great question. Um across the board it's time to reimagine data management. Everything that homer shared. Those challenges are leading to customers needing to break down the silos and complexity that plagues these distributed data environments. And our vision is to deliver a new data experience that helps customers unleash the power of data. We call this vision unified data jobs, Unified Data Ops integrates data centric policies to streamline data management, cloud native control to bring the cloud operational model to where customers data labs and a I driven insights to make the infrastructure invisible. It delivers a new data experience to simplify and bring that agility of cloud to data infrastructure. Streamline data management and help customers innovate faster than ever before. We're making the promise of Unified Data Ops Real by transforming Hve storage to a cloud native software defined data services business and introducing a data services platform that expands Hve Green Lake. >>I mean, you know, you talk about the complexity, I see, I look at it as you kind of almost embracing the complexity saying, look, it's gonna keep getting more complex as the cloud expands to the edge on prem Cross cloud, it gets more complex underneath. What you're doing is you're almost embracing that complexity and putting a layer over it and hiding that complexity from from the end customer that and so they can spend their time doing other things over. I wonder if you can maybe talk a little bit more about the data services console, Is it sort of another software layer to manage infrastructure? What exactly is it? >>It's a lot more than that, Dave and you're you're 100% right. It's basically we're attempting in this release to attack that complexity head on. So simply put data services. Cloud console is a SAS based console that delivers cloud operational model and cloud operational agility uh to our customers. It unifies data operations through a series of cloud data services that are delivered on top of this console to our customers in a continuous innovation stream. Uh And what we have done is going back to the point that I made earlier separating storage and data management and putting the strong suites of each of those together into the SAS delivered console for our customers. So what we have done is we have separated data and infrastructure management away from physical hardware to provide a comprehensive and a unified approach to managing data and infrastructure wherever it lives. From a customer's perspective, it could be at the edge, it could be in a coal. Oh, it could be in their data center or it could be a bunch of data services that are deployed within the public cloud. So now our customers with data services. Cloud console can manage the entire life cycle of their data from all the way from deployment, upgrading and optimizing it uh from a single console from anywhere in the world. Uh This console is designed to streamline data management with cloud data services that enable access to data. It allows for policy-based data protection, it allows for an organizational wide search on top of your storage assets. And we deliver basically a 360° visibility to all your data from a single console that the customer can experience from anywhere. So, so if you look at the journey the way we're deciding to deliver this. So the first, in its first incarnation, uh Data services, Cloud console gives you infrastructure and cloud data services to start to do data management along with that. But this is that foundation that we are placing in front of our customers, the SAS console, through which we get touch our customers on a daily basis. And now as our customers get access to the SAAS platform on the back end, we will continue to roll in additional services throughout the years on a true SAS based innovation base for our customers. And and these services can will be will be ranging all the way from data protection to multiple out data management, all the way to visibility all the way to understanding the context of your data as it's stored across your enterprise. And in addition to that, we're offering a consistent revised unified Api which allows for our customers to build automation against their storage infrastructure. Without ever worrying about that. As infrastructure changes, uh, the A. P I proof points are going to break for them. That is never going to happen because they are going to be programming to a single SAS based aPI interface from now on. >>Right. And that brings in this idea of infrastructure as code because you talk about as a service to talk about Green Lake and and my question is always okay. Tell me what's behind that. And if and if and if and if you're talking about boxes and and widgets, that's a it's a problem. And you're not, you're talking about services and A P. I. S and microservices and that's really the future model and infrastructure is code and ultimately data as code is really part of that. So, All right. So you guys, I know some of your branding folks, you guys give deep thought to this. So the second part of the announcement is the new product brands and deep maybe you can talk about that a little bit. >>Sure. Ultimately delivering the cloud operational model requires cognitive data infrastructure and that has been engineered to be natively managed from the cloud. And that's why we have also introduced H. P. E. Electra. Omar, Can you perhaps described HB electro even more. >>Absolutely. Thank you. Sandy. Uh, so with with HB Electoral we're launching a new brand of cloud native hardware infrastructure to power our customers data all the way from edge to the core to the cloud. The releases are smaller models for the edge then at the same time having models for the data center and then expanding those services into the public cloud as well. Right. All these hardware devices, Electoral hardware devices are cloud native and powered by our data services. Cloud Council, we're announcing two models with this launch H. P. E Electoral 9000. Uh, this is for our mission critical workloads. It has its history and bases in H P E. Primera. It comes with 100% availability guarantee. Uh It's the first of its type in the industry. It comes with standard support contract, no special verb is required. And then we're also launching HB Electoral 6000. Uh These are based in our history of uh nimble storage systems. Uh These these are for business critical applications, especially for that mid range of the storage market, optimizing price, performance and efficiency. Both of these systems are full envy any storage powered by our timeless capabilities with data in place upgrades. And then they both deliver a unified infrastructure and data management experience through the data services, cloud console. Uh And and and at the back end unified Ai Ops experience with H P. E. Info site is seamlessly blended in along with the offering for our >>customers. So this is what I was talking about before. It's sort of not your grandfather's storage business anymore. This is this is this is something that is part of that, that unified vision, that layer that I talked about, the A. P. I. Is the program ability. So you're you're reaching into new territory here. Maybe you can give us an example of how the customers experience what that looks like. >>Excellent. Love to Dave. So essentially what we're doing is we're changing the storage experience to a true cloud operational model for our customers. These recent announcements that we just went through along with, indeed they expand the cloud experience that our customers get with storage as a service with HP Green Lake. So a couple of examples to make this real. So the first of all is simplified deployment. Uh So I t no longer has to go through complex startup and deployment processes. Now all you need to do is these systems shipped and delivered to the customer's data center. Operational staff just need to rack and stack and then leave connect the power cable, connect the network cable. And the job is done. From that point onwards, data services console takes over where you can onboard these systems, you can provision these systems if you have a pre existing organization wide security as well as standard profile setup in data services console, we can automatically apply those on your behalf and bring these systems online. From a customer's perspective, they can be anywhere in the world to onboard these systems, they could be driving in a car, they could be sitting on a beach. Uh And and you know, these systems are automatically on boarded through this cloud operational model which is delivered through the SAAS application for our customers. Another big example. All that I'd like to shed light on is intent based provisioning. Uh So Dave typically provisioning a workload within a data center is an extremely spreadsheet driven trial and error kind of a task. Which system do I land it on? Uh Is my existing sl is going to be affected which systems that loaded which systems are loaded enough that I put this additional workload on it and the performance doesn't take. All of these decisions are trial and error on a constant basis with cloud Data services console along with the electron new systems that are constantly in a loop back information feeding uh Typical analytics to the console. All you need to do is to describe the type of the workload and the intent of the workload in terms of block size S. L. A. That you would like to experience at that point. Data services console consults with intra site at the back end. We run through thousands of data points that are constantly being given to us by your fleet and we come back with a few recommendations. You can accept the recommendation and at that time we go ahead and fully deploy this workload on your behalf or you can specify a particular system and then people try to enforce the S. L. A. On that system. So it completely eliminates the guesswork and the planning that you have to do in this regard. Uh And last but not the least. Uh You know, one of the most important things is, you know, upgrades has been a huge problem for our customers. Uh And typically oftentimes when you're not in this constant, you know, loop back communication with your customers. It often is a big challenge to identify which release or which bug fix or which update goes on to which particular machine, all of that has been completely taken away from our customers and fully automated. Uh We run thousands of signatures across are installed base. We identify which upgrades need to be curated for which machines in a fleet for a particular customer. And then if it applies to that customer we presented, and if the customer accepts it, we automatically go ahead and upgrade the system and and and last, but not the least from a global management perspective. Now, a customer has an independent data view of their data estate, independent from a storage estate and data services. Council can blend the two to give a consistent view or you can just look at the fleet view or the data view. >>It's kind of the holy Grail. I mean I've been in this business a long time and I think I. T. People have dreamt about you know this kind of capability for for a long long time. I wonder if we could sort of stay on the customers for a moment here and and talk about what's enabled. Now. Everybody's talking digital transformation. I joke about the joke. Not funny. The force marched to digital with Covid. Uh and we really wasn't planned for but the customers really want to drive now that digital transfer some of them are on the back burner and now they're moving to the front burner. What are the outcomes that are that are enabled here? Omar. >>Excellent. So so on on a typical basis for a traditional I. T. Customer this cloud operational model means that you know information technology staff can move a lot faster and they can be a lot more productive on the things that are directly relevant to their business. They can get up to 99% of the savings back to spend more time on strategic projects or best of all spend time with their families rather than managing and upgrading infrastructure and fleets of infrastructure. Right for line of business owners, the new experience means that their data infrastructure can be presented can be provision where the self service on demand type of capability. Uh They necessarily don't have to be in the data center to be able to make those decisions. Capacity management, performance management, all of that is died in and presented to them wherever they are easy to consume. SaS based models and especially for data innovators, whether it's D B A s, whether it's data analysts, they can start to consume infrastructure and ultimately data as a code to speed up their app development because again, the context that we're bringing forward is the context of data decoupling it from. Actually, storage management, storage management and data management are now two separate domains that can be presented through a single console to tie the end to end picture for a customer. But at the end of the day, what we have felt is that customers really, really want to rely and move forward with the data management and leave infrastructure management to machine oriented task, which we have completely automated on their behalf. >>So I'm sure you've heard you got the memo about, you know, H H p going all in on as a service. Uh it is clear that the companies all in. How does this announcement fit in to that overall mission? Cindy >>dave We believe the future is edge to cloud and our mission is to be the edge to cloud platform as a service company and as as HB transforms HP Green Lake is our unified cloud platform. Hp Green Link is how we deliver cloud services and agile cloud experiences to customers applications and data across the edge to cloud. With the storage announcement that we made recently, we announced that we're expanding HB Green Lake with as a service transformation of the HPV storage business to a cloud native software defined data services business. And this expands storage as a service, delivering full cloud experience to our customers data across edge and on prem environment across the board were committed to being a strategic partner for every one of our customers and helping them accelerate their digital transformation. >>Yeah, that's where the puck is going guys. Hey as always great conversation with with our friends from HP storage. Thanks so much for the collaboration and congratulations on the announcements and and I know you're not done yet. >>Thanks. Dave. Thanks. Dave. >>Thanks. Dave. It's a pleasure to be here. >>You're very welcome. And thank you for being with us for hp. You discovered 2021 you're watching the cube, the leader digital check coverage. Keep it right there, but right back. >>Yeah. Yeah.

>>the idea of cloud is changing from a set of remote services somewhere out there in the cloud to an operating model that supports workloads on prem across clouds and increasingly at the near and far edge moreover, workloads are evolving from a predominance of general purpose systems to increasingly data intensive applications, developers are a new breed of innovators and kubernetes is a linchpin of creating new cloud native workloads that are in the cloud but also modernizing existing application portfolios to connect them to cloud native apps. Hello, we want to welcome back to HPD discovered 2021 the cubes ongoing coverage. This is Dave Volonte and with me are scott. Buchanan is the vice president of marketing at VM ware and Toby Weiss, who is the vice president of global hybrid cloud practice at HP gents. Welcome to the Q. Great to see you. Thanks for coming on. >>Thank you. Day agreed to be here. >>Okay, thanks for having >>us. So you heard my little narrative upfront. Um and so let's get into it. I want to start with with some of the key trends that you guys see in the marketplace and maybe scott you could kick us off from VM ware's perspective. What are you seeing that's really driving? Uh I. T. Today. >>Well, Dave you started with a conversation around cloud, right, and you can't really have a conversation around cloud without also talking about applications. And so much of the interaction that we're having with customers these days is about how we bring apps and clouds together and modernize across those two dimensions at the same time. And that's a pretty complex discussion to have and it's a complex journey to navigate. And so we're here to talk to customers and to work with h Pe to help our customers across those two dimensions. >>Great, so Toby I mean, it's always been about applications, as scott said, but but the application, the nature of applications is changing how we develop applications. The mentioned it sort of data intensive applications were injecting ai uh into virtually everything the apps, the process, the people even um uh from a from the perspective of really a company that supports applications with infrastructure, what are you seeing in the marketplace? What can you add to that discussion? >>Yes. Great point. Dave you know, with the scent with applications becoming more central, think about what that means uh and has been for developer communities and developers becoming uh more important customers for I. T. Uh We have to make it easier for these developers uh to speed their innovations to market. Right? The business demands newer and faster capabilities of these applications. So our job in the infrastructure and uh it was called the platform layer is to help we need to build these kinds of platforms that allow developers to innovate more quickly. >>So we talked earlier about sort of modernizing apps. I mean, it seems to me that the starting point there is you want to containerized and obviously kubernetes is the, is the key there, but so okay, so if that's the starting point, where's the journey, what does that look like? Maybe scott you could chime in there >>Sure. A couple of quick thoughts there, dave and Toby to build on first, is if you look at the Cloud Native Computing Foundation Landscape today, which you can do at landscape dot c n c f dot io Holy Smokes, is that a jungle? So a lot of organizations need a guide through that CN cf landscape, they need a partner that they can trust to show them the way through that landscape. And then secondly, there needs to be ways to make these technologies easier to adopt and to use in practice kubernetes being the ultimate example of that. And so we've been hard at work to try and make it easy and natural to make kubernetes Part of 1's existing infrastructure. So that building with and working with containers can be done on the same platform that you're using for virtual machines. >>So let's let's talk a little bit about cloud and how you guys are thinking about cloud. Remember told me that Back in VM World 2010, it was the very first vm world for the Cube. All we talked about was a cloud, but it was a private cloud was really what we were talking about, which at the time largely met the virtualized data center. Um it was kind of before the software defined data center and today we're still talking about cloud, but it's it's hybrid cloud, it's kind of the narrative that I set up front data center. It's become for the most part software to find. And so how do you see this changing the I. T. Operating model? >>I think it's a great question. And and look today you will see us talk a lot about this notion of cloud everywhere. So less differentiation about private and public and more about the experience of cloud. Right public. Cloud brought great innovations and what better than to bring those innovations to on premise workloads that we've chosen to operate and work there. So as we think about cloud more as an experience we want for our developers and our end users and our I. T. Organizations. We begin to think about how can we replicate that experience in an on premise environment. And so part of that is having the technologies that enable you to do that. The other part is um We most of us have evolved alrighty organization operating models to operate our cloud infrastructures off premises. Well now expanding that more holistically across our organization so we don't have to operating models but a single operating model that bridges both and brings the ability of both those together to get the most benefit as we really become to integrate and become truly hybrid in our organization. So I think the operating model is critical and um the kinds of experiences we deliver to the users of that I. T. Uh infrastructure and operating model is critical as well. >>Are you guys are both basically in the infrastructure business scott? Maybe we can start with you there's a lot of changes that we're talking about in it. Generally the data center specifically especially big changes in workloads with a lot more data intensive apps ai being injected into everything Kubernetes, making things more facile. And in many ways it simplifies things, but it also puts stress on the system because you've got to protect this, they're no longer stateless apps right there, state full and you gotta protect them and and so they've got to be compliant. Um Now you've got the edge coming in. Uh So my question is, what does infrastructure have to do to keep pace with all this application innovation? >>Uh One of the conversations that we are having increasingly with our customers is how can they embrace a dev sec ops mindset in their organization and adopt some of these more modern patterns and practices and make sure that security is embedded in the life cycle of the container. And and so, you know, I think that this is part of, the answer is equipping the operator through infrastructure to set guard rails in place so that the development organization can work with freedom inside of those guard rails that it can draw on a catalogs of curated container images, catalogs of apps start from templates. Those are the building blocks that allow developers to work faster and that allow an operator to ensure the integrity and compliance of the containers and the applications that the organizations building. >>Yeah, So, so that's kind of uh when I hear scott talking about that Toby I think infrastructure as code designing security and governance in we always we always said I was an afterthought, we kind of bolted it on second. The security team had to take care of that. This is always the same thing with backup. Right? So we got an app. It's all ready to go. How do we back it up? And so that's changing that whole notion of infrastructure as code. Um, I want to talk about Green lake in a minute, but, but before we get there, I wonder if you could talk about how HP E thinks about VM ware and how you guys are partnering. I'm specifically interested and where each of you sees the value that you bring to the table for your joint customers. >>Yeah, great question. You know, and, and starting to think about history like you did 2010 being the start of a cube journey. I, I remember in 2003 when we first partnered with VM ware in the very first data center consolidations and we built practices around this. It's been quite a long partnership with VM ware and I'm excited to see this. This partnership evolved today, especially into this cloud, native space and direction. Uh, it's critical we need you know uh you know customers have choices and we need great partners like VM ware uh to help satisfy the many different use cases and choices that our customers have. So while we bring you know good depth when it comes to building these infrastructures that become highly automated um and managed in some cases and consume consumable like on a consumption basis and automated like we help clients automate their ci Cd pipeline. We depend on technologies and partners like them where to make these outcomes real for our customers. >>Yeah I think there's a way to connect a couple of the points that we've been talking about today. Got some data from a state of kubernetes study that we just ran and this is 350 I. T. Decision makers who said uh that they're running kubernetes on premise, 55% of respondents are running kubernetes on premise today and so VM ware and HP get to work together to bring kubernetes to those enterprises, 96% of them said that they're having a challenge selecting the right kubernetes distribution, 60 of them in that C. N. C. F. Landscape and the number one criteria that they're going to use to choose the right distribution, you know set them on a path forward is that it's easy to deploy and to operate and to maintain in production. And so I think that this is where the m wear and HP get to come together to help try and keep things as simple as possible for customers as they navigate. A fairly complex world. >>That's interesting scott. So who are those um those on prem users of containers and kubernetes? Is it the is it the head of you know the the application team and an insurance company whose kind of maintaining the claims about? Is it is a guy's building new cloud native apps to help companies get digital first. Who are those? What's the persona look like >>in our conversations? You know, this is the infrastructure and operations team seen that there's energy around kubernetes and maybe there's some use in test and development and parts of the organization. And by centralizing over ownership of that kubernetes footprint, they can ensure that it's compliant if policy is set properly to your point earlier that it's meets the security standards for the organization. And so it's increasingly that SRE or site reliability engineer or platform operator who's taking ownership of that kubernetes footprint for the organization to ensure that consistency of management and experience for the development teams across the larger order Toby, is that what you're seeing? Two, >>yeah, we see uh we see quite a few, we engage with quite a few developer teams in business leads that have ambitions to speed their application development processes And uh you know, they want help and often as I stated, the intro, they might be coming off of a much older deployment uh maybe from 2015 where there there were an early adopter of a container platform methodology and wanting to get to some newer platform or they they may be in charge of getting a mobile banking application and its features to market much more quickly. So, and often when we get a quote maybe from a client, it might come from, you know, the VP of a business unit. But often as we engage, it's, you know, the developers are pretty much our customers and their developer leaders and teams, >>so you're running into container technical debt already. You're seeing that out there. It sounds like your legacy >>container. It takes some expertise to, to come off those older. You know, the first instance creations of these container platforms were pretty much open source. And yeah, you want to bring it to something that's more modern and has the kinds of features, enterprise grade features you might need. >>So is it not so problematic for for customers? Because as I said before, a lot of those apps were sort of disposable and stateless. And, and, and now they're saying, hey, we can actually use kubernetes to build, you know, mission critical apps. And so there, that's when they sort of decide to pivot to a new modern platform or is there a more complex migration involved? What are you seeing? >>Okay, I'll give my hot, take your Toby and then uh, ask you for yours. But I guess I feel like the conversations that I'm involved in with customers is, you know, always begins with their broader application portfolio. These enterprises have hundreds thousands of applications and job one is to figure out how to categorize them into those which need to be re hosted or platforms or re factored or reimagined entirely. And so they're looking for help figuring out how to categorize those applications and ultimately how to attack each category of application. Some should be re platforms on environments that make best use of kubernetes, some need to be re factored, some need to be reimagined. And so they are again looking for that expert guide to show them the way >>right. And when we engage in those early discussions, we call it right Mix advisory. Um, you know, you're trying to take a full of broad scope as he said, scott down to a few and uh you know, determine kind of the first movers if you will also, you know, clients will engage you know, for very specific applications that are or suite of applications. Again like mobile applications for banking I think are a good example because you know they have an ambition. I mean the leader of that kind of application may very well think that is the mission critical application for the company, right? But of course finance, they have a different point of view. So you know that that application to them is the center of their business getting, you know, their customer access to the core banking features that they have and you know, they want to zero in on the kind of ecosystem. It takes in in the speed at which they can push new features through. So we see both as well um you know, the broader scope application, weaning down to the few discovery application, uh and then of course a very focused effort to help a particular business unit speed development on their mobile app, for example, >>it's interesting scott you were talking about sort of the conversation starts with the application portfolio and there have been there have been these sort of milestones around, you know, major application portfolio, I'll call him rationalizations, I mean there's always an ongoing but y two K was one of those, this is sort of the big move to SAS was another one, obviously cloud and it feels like kubernetes, I mean it's like the cloud to Dato coming on Prem is another one of those opportunities to rationalize applications. We all know the stats right, we always see 85% of the spend is to keep the lights on and the other the only small portions innovation and you know, there's always a promise we can change that. It reminds me of the every year I would go to the boston marathon, it was this guy would run and he had a hat on with the extension and it was a can of Budweiser way out there and he couldn't reach it and so he would run, it was almost the same thing here is they never get there because they have so many projects coming online and the project portfolio and and then and then the C I O has got to maintain those in the application heads and so it's this, this ongoing thing but you do see spikes in rationalization initiatives and it feels like with this push to modernization and digitization maybe the pandemic accelerated that too. Is that a reasonable premise? You seeing sort of a milestone or a marker in terms of increased effort around rationalization and modernization today because of kubernetes? >>Yeah, I definitely think that there are a couple of kubernetes is a catalyzing technology and the challenges of the pandemic or a catalyzing moment. Right. And I feel like uh Organisations have seen over the past 18 months now that those enterprises that have a way to get innovation to market to customers faster, not once a quarter, but many times a day are the ones that are separating themselves in competitive marketplaces and ultimately delivering superior customer experiences. So it comes back to some of the ideas full circle that Toby started with around delivering a superior developer experience so that those developers can get code to production and into the hands of customers on a much more rapid basis. Like that's the outcome that enterprises really care about at the end of the day. And kubernetes is part of the way to get there. But it's the outcome that's key. Great, thank >>you. And one of our practices dave there was uh you know, that's been our bread and butter for so many years. This, you know, this broad based discovery, narrowing down to a strategy and a plan for migrating and moving certain workloads. We see a slight twist today in that clients and organizations want to move quicker too. The apps, they know that, you know, they want to focus on, they want to prove it by through the broad based discovery and kind of a strategic analysis, but they want to get quicker right away to the workloads. They are quite sure that need re factoring or leverage the benefit of a modern developer environment >>and they don't want to be messing around with provisioning lungs and servers and all that stuff. They want that to be simplified. So we're gonna end on Green Lake and I want to understand how you guys are thinking about Green Lake in terms of your partnership and how you're working together, you know, maybe Toby you could sort of give us the update from your perspective, you can't have a conversation with HP today without talking about Green Lake. So give us the kool aid injection. And then I really interested in how VM ware thinks about participating in that. >>Absolutely. And, and thank you for uh, yeah, for helping us out here. You know, I see more and more of our engagements with clients that ask for and, and, and want to sign a Green Life based contract, >>but, >>and that is one very important foundational element. Uh and there's there's so much more because remember we talked about the cloud experience in cloud everywhere and Green Lake brings us an opportunity to bring dimensions to that, especially on the consumption model because that's that's an important element if we begin adding partners such as VM ware to this equation, especially for clients that have huge investments in VM where there's an opportunity here to really bring a lot of value with this cloud experience to our customers through this partnership. >>All right scott, we're gonna give you the last word. What's your take on this? >>Hey listen hard for me to to to add much to what Toby said, he nailed that you see a ton of energy in this space. I think we've covered a bunch of key topics today. Their ongoing conversations with our customers in Green Link is a way to take that conversation to the next level. >>Guys really appreciate you coming on and give us your perspectives on kubernetes and and and and thank you scott for that data. 55% of I. T. Decision makers out of 350 said they're doing on prem kubernetes. That's a new stat. I hadn't I would have expected to be that high but I guess I'm not surprised it's the rage the developers want the latest and greatest guys. Thanks so much for sharing your knowledge and I appreciate you coming on the cube. >>Thank you. Dave. >>Thanks Dave. >>Thank you for watching the cubes ongoing coverage. Hp es discover 2021. The virtual version will be right back. >>Mm.