>> Welcome back to the program. My name is Dave Valante and in this session, we're going to explore one of the more interesting topics of the day. IoT for Smart Factories. And with me are, Todd Edmunds,the Global CTO of Smart Manufacturing Edge and Digital Twins at Dell Technologies. That is such a cool title. (chuckles) I want to be you. And Dr. Aditi Banerjee, who's the Vice President, General Manager for Aerospace Defense and Manufacturing at DXC Technology. Another really cool title. Folks, welcome to the program. Thanks for coming on. >> Thanks Dave. >> Thank you. Great to be here. >> Nice to be here. >> Todd, let's start with you. We hear a lot about Industry 4.0, Smart Factories, IIoT. Can you briefly explain, what is Industry 4.0 all about and why is it important for the manufacturing industry? >> Yeah. Sure, Dave. You know, it's been around for quite a while and it's gone by multiple different names, as you said. Industry 4.0, Smart Manufacturing, Industrial IoT, Smart Factory. But it all really means the same thing, its really applying technology to get more out of the factories and the facilities that you have to do your manufacturing. So, being much more efficient, implementing really good sustainability initiatives. And so, we really look at that by saying, okay, what are we going to do with technology to really accelerate what we've been doing for a long, long time? So it's really not- it's not new. It's been around for a long time. What's new is that manufacturers are looking at this, not as a one-of, two-of individual Use Case point of view but instead they're saying, we really need to look at this holistically, thinking about a strategic investment in how we do this. Not to just enable one or two Use Cases, but enable many many Use Cases across the spectrum. I mean, there's tons of them out there. There's Predictive maintenance and there's OEE, Overall Equipment Effectiveness and there's Computer Vision and all of these things are starting to percolate down to the factory floor, but it needs to be done in a little bit different way and really to really get those outcomes that they're looking for in Smart Factory or Industry 4.0 or however you want to call it. And truly transform, not just throw an Industry 4.0 Use Case out there but to do the digital transformation that's really necessary and to be able to stay relevant for the future. I heard it once said that you have three options. Either you digitally transform and stay relevant for the future or you don't and fade into history. Like, 52% of the companies that used to be on the Fortune 500 since 2000. Right? And so, really that's a key thing and we're seeing that really, really being adopted by manufacturers all across the globe. >> Yeah. So, Aditi, it's like digital transformation is almost synonymous with business transformation. So, is there anything you'd add to what Todd just said? >> Absolutely. Though, I would really add that what really drives Industry 4.0 is the business transformation. What we are able to deliver in terms of improving the manufacturing KPIs and the KPIs for customer satisfaction, right? For example, improving the downtime or decreasing the maintenance cycle of the equipments or improving the quality of products, right? So, I think these are lot of business outcomes that our customers are looking at while using Industry 4.0 and the technologies of Industry 4.0 to deliver these outcomes. >> So, Aditi, I wonder if I could stay with you and maybe this is a bit esoteric but when I first first started researching IoT and Industrial IoT 4.0, et cetera, I felt, well, there could be some disruptions in the ecosystem. I kind of came to the conclusion that large manufacturing firms, Aerospace Defense companies the firms building out critical infrastructure actually had kind of an incumbent advantage and a great opportunity. Of course, then I saw on TV somebody now they're building homes with 3D printers. It like blows your mind. So that's pretty disruptive. But, so- But they got to continue, the incumbents have to continue to invest in the future. They're well-capitalized. They're pretty good businesses, very good businesses but there's a lot of complexities involved in kind of connecting the old house to the new addition that's being built, if you will, or this transformation that we're talking about. So, my question is, how are your customers preparing for this new era? What are the key challenges that they're facing in the the blockers, if you will? >> Yeah, I mean the customers are looking at Industry 4.0 for Greenfield Factories, right? That is where the investments are going directly into building the factories with the new technologies, with the new connectivities, right? For the machines, for example, Industrial IoT having the right type of data platforms to drive computational analytics and outcomes, as well as looking at Edge versus Cloud type of technologies, right? Those are all getting built in the Greenfield Factories. However, for the Install-Based Factories, right? That is where our customers are looking at how do I modernize these factories? How do I connect the existing machine? And that is where some of the challenges come in on the legacy system connectivity that they need to think about. Also, they need to start thinking about cybersecurity and operation technology security because now you are connecting the factories to each other. So, cybersecurity becomes top of mind, right? So, there is definitely investment that is involved. Clients are creating roadmaps for digitizing and modernizing these factories and investments in a very strategic way. So, perhaps they start with the innovation program and then they look at the business case and they scale it up, right? >> Todd, I'm glad you did brought up security, because if you think about the operations technology folks, historically they air-gaped the systems, that's how they created security. That's changed. The business came in and said, 'Hey, we got to connect. We got to make it intelligence.' So, that's got to be a big challenge as well. >> It absolutely is, Dave. And, you know, you can no longer just segment that because really to get all of those efficiencies that we talk about, that IoT and Industrial IoT and Industry 4.0 promise, you have to get data out of the factory but then you got to put data back in the factory. So, no longer is it just firewalling everything is really the answer. So, you really have to have a comprehensive approach to security, but you also have to have a comprehensive approach to the Cloud and what that means. And does it mean a continuum of Cloud all the way down to the Edge, right down to the factory? It absolutely does. Because no one approach has the answer to everything. The more you go to the Cloud the broader the attack surface is. So, what we're seeing is a lot of our customers approaching this from kind of that hybrid right ones run anywhere on the factory floor down to the Edge. And one of the things we're seeing too, is to help distinguish between what is the Edge and bridge that gap between, like, Dave, you talked about IT and OT and also help what Aditi talked about is the Greenfield Plants versus the Brownfield Plants that they call it, that are the legacy ones and modernizing those. It's great to kind of start to delineate what does that mean? Where's the Edge? Where's the IT and the OT? We see that from a couple of different ways. We start to think about really two Edges in a manufacturing floor. We talk about an Industrial Edge that sits... or some people call it a Far Edge or a Thin Edge, sits way down on that plant, consists of industrial hardened devices that do that connectivity. The hard stuff about how do I connect to this obsolete legacy protocol and what do I do with it? And create that next generation of data that has context. And then we see another Edge evolving above that, which is much more of a data and analytics and enterprise grade application layer that sits down in the factory itself; that helps figure out where we're going to run this? Does it connect to the Cloud? Do we run Applications On-Prem? Because a lot of times that On-Prem Application it needs to be done. 'Cause that's the only way that it's going to work because of security requirements, because of latency requirements performance and a lot of times, cost. It's really helpful to build that Multiple-Edge strategy because then you kind of, you consolidate all of those resources, applications, infrastructure, hardware into a centralized location. Makes it much, much easier to really deploy and manage that security. But it also makes it easier to deploy new Applications, new Use Cases and become the foundation for DXC'S expertise and Applications that they deliver to our customers as well. >> Todd, how complex are these projects? I mean, I feel like it's kind of the the digital equivalent of building the Hoover Dam. I mean, its.. so yeah. How long does a typical project take? I know it varies, but what are the critical success factors in terms of delivering business value quickly? >> Yeah, that's a great question in that we're- you know, like I said at the beginning, this is not new. Smart Factory and Industry 4.0 is not new. It's been, it's people have been trying to implement the Holy Grail of Smart Factory for a long time. And what we're seeing is a switch, a little bit of a switch or quite a bit of a switch to where the enterprises and the IT folks are having a much bigger say and they have a lot to offer to be able to help that complexity. So, instead of deploying a computer here and a Gateway there and a Server there, I mean, you go walk into any manufacturing plant and you can see Servers sitting underneath someone's desk or a PC in a closet somewhere running a critical production application. So, we're seeing the enterprise have a much bigger say at the table, much louder voice at the table to say, we've been doing this enterprise all the time. We know how to really consolidate, bring Hyper-Converged Applications, Hyper-Converged Infrastructure to really accelerate these kind of applications. Really accelerate the outcomes that are needed to really drive that Smart Factory and start to bring that same capabilities down into the Mac on the factory floor. That way, if you do it once to make it easier to implement, you can repeat that. You can scale that. You can manage it much easily and you can then bring that all together because you have the security in one centralized location. So, we're seeing manufacturers that first Use Case may be fairly difficult to implement and we got to go down in and see exactly what their problems are. But when the infrastructure is done the correct way when that- Think about how you're going to run that and how are you going to optimize the engineering. Well, let's take that what you've done in that one factory and then set. Let's make that across all the factories including the factory that we're in, then across the globe. That makes it much, much easier. You really do the hard work once and then repeat. Almost like cookie cutter. >> Got it. Thank you. >> Aditi, what about the skillsets available to apply these to these projects? You got to have knowledge of digital, AI, Data, Integration. Is there a talent shortage to get all this stuff done? >> Yeah, I mean, definitely. Lot different types of skillsets are needed from a traditional manufacturing skillset, right? Of course, the basic knowledge of manufacturing is important. But the digital skillsets like IoT, having a skillset in in different Protocols for connecting the machines, right? That experience that comes with it. Data and Analytics, Security, Augmented Virtual Reality Programming. Again, looking at Robotics and the Digital Twin. So, the... It's a lot more connectivity software, data-driven skillsets that are needed to Smart Factory to life at scale. And, you know, lots of firms are recruiting these types of resources with these skill sets to accelerate their Smart Factory implementation, as well as consulting firms like DXC Technology and others. We recruit, we train our talent to provide these services. >> Got it. Aditi, I wonder if we could stay on you. Let's talk about the partnership between DXC and Dell. What are you doing specifically to simplify the move to Industry 4.0 for customers? What solutions are you offering? How are you working together, Dell and DXC to bring these to market? >> Yeah, Dell and DXC have a very strong partnership and we work very closely together to create solutions, to create strategies and how we are going to jointly help our clients, right? So, areas that we have worked closely together is Edge Compute, right? How that impacts the Smart Factory. So, we have worked pretty closely in that area. We're also looked at Vision Technologies. How do we use that at the Edge to improve the quality of products, right? So, we have several areas that we collaborate in and our approaches that we want to bring solutions to our client and as well as help them scale those solutions with the right infrastructure, the right talent and the right level of security. So, we bring a comprehensive solution to our clients. >> So, Todd, last question. Kind of similar but different, you know. Why Dell, DXC, pitch me? What's different about this partnership? Where are you confident that you're going to be to deliver the best value to customers? >> Absolutely. Great question. You know, there's no shortage of Bespoke Solutions that are out there. There's hundreds of people that can come in and do individual Use Cases and do these things and just, and that's where it ends. What Dell and DXC Technology together bring to the table is we do the optimization of the engineering of those previously Bespoke Solutions upfront, together. The power of our scalable enterprise grade structured industry standard infrastructure, as well as our expertise in delivering package solutions that really accelerate with DXC's expertise and reputation as a global trusted advisor. Be able to really scale and repeat those solutions that DXC is so really, really good at. And Dell's infrastructure and our, 30,000 people across the globe that are really, really good at that scalable infrastructure to be able to repeat. And then it really lessens the risk that our customers have and really accelerates those solutions. So it's again, not just one individual solutions it's all of the solutions that not just drive Use Cases but drive outcomes with those solutions. >> Yeah, you're right. The partnership has gone, I mean I first encountered it back in, I think it was 2010. May of 2010. We had guys both on the, I think you were talking about converged infrastructure and I had a customer on, and it was actually the manufacturing customer. It was quite interesting. And back then it was how do we kind of replicate what's coming in the Cloud? And you guys have obviously taken it into the digital world. Really want to thank you for your time today. Great conversation and love to have you back. >> Thank you so much. It was a pleasure speaking with you. I agree. >> All right, keep it right there for more discussions that educate and inspire on "The Cube."

>>and welcome to this cube conversation. I'm john for a host of the queue here in Palo alto California. We've got two great remote guests to talk about, some big news hitting with scalability and Hewlett Packard enterprise drill, MCAT ceo of sexuality and chris Tinker, distinguished technologist from H P E. Hewlett Packard enterprise U room chris, Great to see you both. Cube alumni's from an original gangster days. As we say Back then when we started almost 11 years ago. Great to see you both. >>It's great to be back. >>So let's see. So >>really compelling news around kind of this next generation storage, cloud native solution. Okay. It's a, it's really kind of an impact on the next gen. I call, next gen devops meets application, modern application world and some, we've been covering heavily, there's some big news here around sexuality and HP offering a pretty amazing product. You guys introduced essentially the next gen piece of it are pesca, we'll get into in a second. But this is a game changing announcement you guys announces an evolution continuing I think it's more of a revolution but I think you know storage is kind of abstraction layer of evolution to this app centric world. So talk about this environment we're in and we'll get to the announcement which is object store for modern workloads but this whole shift is happening jerome, this is a game changer to storage, customers are gonna be deploying workloads. >>Yeah skeleton. Really I mean I personally really started working on Skele T more than 10 years ago 15 now And if we think about it I mean cloud has really revolutionized IT. and within the cloud we really see layers and layers of technology. I mean we all started around 2006 with Amazon and Google and finding ways to do initially we was consumer it at very large scale, very low incredible reliability and then slowly it creeped into the enterprise and at the very beginning I would say that everyone was kind of wizards trying things and and really coupling technologies together uh and to some degree we were some of the first wizard doing this But we're now close to 15 years later and there's a lot of knowledge and a lot of experience, a lot of schools and this is really a new generation, I'll call it cloud native, you can call it next year and whatever, but there is now enough experience in the world, both at the development level and at the infrastructure level to deliver truly distributed automate systems that run on industry standard service. Obviously good quality server deliver a better service than the service. But there is now enough knowledge for this to truly go at scale and call this cloud or call this cloud native. Really the core concept here is to deliver scalable I. T at very low cost, very high level of reliability. All based on software. We've we've been participated in this solution but we feel that now the draft of what's coming is at the new level and it was time for us to think, develop and launch a new product that specifically adapted to that. And chris I will let you comment on this because customers or some of them you can add a custom of you to that. >>Well, you know, you're right. You know, I've been in there have been like you have been in this industry for uh, well a long time, a little longer to 20, years. This HPV and engineering and look at the actual landscape has changed with how we're doing scale out, suffered to find storage for particular workloads and were a catalyst has evolved. Here is an analytic normally what was only done in the three letter acronyms and massively scale out politics name, space, file systems, parallel file systems. The application space has encroached into the enterprise world where the enterprise world needed a way to actually take a look at how to help simplify the operations. How do I actually be able to bring about an application that can run in the public cloud or on premise or hybrid. Be able to actually look at a workload off my stat that aligns the actual cost to the actual analytics that I'm going to be doing the work load that I'm going to be doing and be able to bridge those gaps and be able to spin this up and simplify operations. And you know, and if you if you are familiar with these parallel fossils, which by the way we we actually have on our truck. I do engineer those. But they are they are they are they have their own unique challenges. But in the world of enterprise where customers are looking to simplify operations, then take advantage of new application, analytic workloads, whether it be sparred may so whatever it might be right. If I want to spend the Mongol BB or maybe maybe a last a search capability, how do I actually take those technologies embrace a modern scale out storage stack that without without breaking the bank but also provide a simple operations. And that's that's why we look for object storage capabilities because it brings us this massive parallelization. Thank you. >>Well, before we get into the product, I want to just touch on one thing from you mentioned and chris you, you brought up the devoPS piece, next gen, next level, whatever term you use it is cloud Native. Cloud Native has proven that deVOPS infrastructure as code is not only legit being operationalized in all enterprises, add security in there. You have def sec ops this is the reality and hybrid cloud in particular has been pretty much the consensus. Is that standard. So or de facto saying whatever you want to call it, that's happening. Multi cloud on the horizon. So these new workloads have these new architectural changes, cloud on premises and edge, this is the number one story and the number one challenge, all enterprises are now working on how do I build the architecture for the cloud on premises and edge. This is forcing the deVOPS team to flex and build new apps. Can you guys talk about that particular trend and is and is that relevant here? >>Yeah, I, I not talk about uh really storage anywhere and cloud anywhere. And and really the key concept is edged to go to cloud. I mean we all understand now that the Edge will host a lot of data and the edges many different things. I mean it's obviously a smartphone, whatever that is, but it's also factories, it's also production, it's also, you know, moving uh moving machinery, trains, playing satellites, um that that's all the Edge cars obviously uh and a lot of that, I will be both produced and processed there. But from the Edge you will want to be able to send that uh for analysis for backup for logging to a court. And that core could be regional maybe not, you know, one call for the whole planet, but maybe one corporate region uh state in the US. Uh and then from there, you will also want to push some of the data to probably cloud. Uh One of the things that we see more and more is that the the our data center, the disaster recovery is not another physical data center, it's actually the cloud and that's a very efficient infrastructure, very cost efficient. Especially so really it's changing the padding on how you think about storage because you really need to integrate these three layers in a consistent approach, especially around the topic of security because you want the data to be secure all along the way and the data is not just data data and who can access the data, can modify the data. What are the conditions that allow modification or automatically ratios that are in some cases it's super important that data be automatically raised 10 years and all this needs to be transported fromage Co two cloud. So that that's one of the aspects, another aspect that resonates for me with what you said is a word you didn't say but it's actually crucial this whole revolution. It's kubernetes mean Cuban it isn't now a mature technology and it's just, you know, the next level of automaticity operation for distributed system Which we didn't have five or 10 years ago and that is so powerful that it's going to allow application developers to develop much faster system that can be distributed again edge to go to crowd because it's going to be an underlying technology that spans the three layers >>chris your thoughts. Hybrid cloud, I've been, I've been having conscious with the HP folks for got years and years on hybrid clouds now here. >>Well, you know, and it's exciting in a layout, right? So if you look at like a whether it be enterprise virtualization that is a scale out gender purpose fertilization workload. Whether the analytic workloads, whether we know data protection is a paramount to all of this orchestration is paramount. Uh if you look at that depth laptops absolutely you mean securing the actual data. The digital last set is absolutely paramount. And if you look at how we do this, look at the investments we're making we're making. And if you look at the collaborative platform development which goes to our partnership with reality it is we're providing them an integral aspect of everything we do. Whether we're bringing as moral which is our suffer be used orchestration. Look at the veneer of its control plane controlling kubernetes being able to actually control the african area clusters in the actual backing store for all the analytics. And we just talked about whether it be a web scale out That is traditionally using politics. Name space has now been modernized to take advantage of newer technologies running an envy me burst buffers or 100 gig networks with slingshot network at 200 and 400 gigabit. Looking at how do we actually get the actual analytics the workload to the CPU and have it attached to the data at rest? Where is the data? How do we land the data and how do we actually align essentially locality, locality of the actual asset to the compute. This is where, you know, we can leverage whether it be a juror or google or name your favorite hyper scaler, leverage those technologies leveraging the actual persistent store and this is where scale it is with this object store capability has been an industry trend setter, uh setting the actual landscape of how to provide an object store on premise and hybrid cloud running into public cloud but be able to facilitate data mobility and tie it back to and tie it back to an application. And this is where a lot of things have changed in the world of the, of analytics because the applications, the newer technologies that are coming on the market have taken advantage of this particular protocol as three so they can do web scale massively parallel concurrent workloads, >>you know what, let's get into the announcement, I love cool and relevant products and I think this hits the Mark Scaletta you guys have are Tesco which is um, just announced and I think, you know, we obviously we reported on it. You guys have a lightweight, true enterprise grade object store software for kubernetes. This is the announcement, Jerome. Tell us about it. >>What's the big >>deal? Cool and >>relevant? Come on, >>this is cool. All right, tell us >>I'm super excited. I'm not sure that it did. That's where on screen, but I'm super, super excited. You know, we, we introduced the ring 11 years ago and this is our biggest announcements for the past 11 years. So yes, do pay attention. Uh, you know, after after looking at all these trends and understanding where we see the future going, uh, we decided that it was time to embark block. So there's not one line of code that's the same as the previous generation product. They will both could exist. They both have space in the market, uh, and artist that was specifically this design for this cloud native era. And what we see is that people want something that's lightweight, especially because it had to go to the edge. They still want the enterprise grade, the security is known for and it has to be modern. What we really mean by modern is uh, we see object storage now being the primary storage for many application more and more applications and so we have to be able to deliver the performance that primary storage expects. Um this idea of skeletons serving primary storage is actually not completely new When we launched guilty 10 years ago, the first application that we were supporting West consumer email for which we were and we are still today the primary story. So we have we know what it is to be the primary store, we know what's the level of reliability you need to hit. We know what, what latest thinking and latency is different from fruit, but you really need to optimize both. Um, and I think that's still today. We're the only object storage company that protects that after both replication and the red recording because we understand that replication is factor the recording is better and more larger file were fast in terms of latency doesn't matter so much. So we, we've been bringing all that experience but really rethinking a product for that new generation that really is here now. And so we're truly excited against a little bit more about the product. It's a software was guilty is a software company and that's why we love to partner with HP who's producing amazing service. Um, you know, for the record and history, the very first deployment of skeleton in 2000 and 10 was on the HP service. So this is a, a long love story here. Um, and so to come back to artistic, uh, is lightweight in the sense that it's easy to use. We can start small, we can start from just one server or 11 VM instance. I mean start really small. Can grow infinitely. The fact that we start small, we didn't, you know, limit the technology because of that. Uh, so you can start from one too many. Um, and uh, it's contaminated in the sense that it's completely Cuban, it is compatible. It's communities orchestrated. It will deploy on many Cuban distributions. We're talking obviously with Admiral, we're also talking with Ponzu and with the other in terms of uh, communities distribution will also be able to be run in the cloud. I'm not sure that there will be many uh, true production deployment of artists in the club because you already have really good object storage by the cloud providers. But when you are developing something and you want to test their, um, you know, just doing it in the cloud is very practical. So you'll be able to deploy our discount communities cloud distribution and it's modern object storage in the sense that its application century. A lot of our work is actually validating that our storage is fit for a single purpose application and making sure that we understand the requirement of this application that we can guide our customers on how to deploy. And it's really designed to be the primary storage for these new workloads. >>The big part of the news is your relationship with Hewlett Packard Enterprises? Some exclusivity here as part of this announced, you mentioned, the relationship goes back many, many years. We've covered your relationship in the past chris also, you know, we cover HP like a blanket. Um, this is big news for h P E as >>well. >>What is the relationship talk about this? Exclusivity could you share about the partnership and the exclusivity piece? >>Well, the partnership expands into the pan HPV portfolio. We look we made a massive investment in edge IOT devices. Uh, so we actually have, how do we align the cost to the demand for our customers come to us wanting to looking at? Uh think about what we're doing with green, like a consumption based modeling, they want to be able to be able to consume the asset without having to do a capital outlay out of the gate uh, number to look at, you know, how do you deploy? Technology really demand? It depends on the scale. Right? So in a lot of your web skill, you know, scale out technologies, uh, putting them on a diet is challenging, meaning how skinny can you get it getting it down into the 50 terabyte range and then the complexities of those technologies at as you take a day one implementation and scale it out over, you know, you know, multiple iterations of recorders. The growth becomes a challenge. So, working with scalability, we we believe we've actually cracked this nut. We figured out how to a number one, how to start small but not limited customers ability to scale it out incrementally or grotesquely grotesque. A you can depending on the quarters the month, whatever whatever the workload is, how do you actually align and be able to consume it? Uh So now, whether it be on our edge line products are D. L. Products go back there. Now what the journalist talking about earlier, you know, we ship a server every few seconds. That won't be a problem. But then of course into our density optimized compute with the Apollo product. Uh This where uh our two companies have worked in an exclusivity where the, the scaly software bonds on the HP ecosystem. Uh and then we can of course provide you our customers the ability to consume that through our Green link financial models or through a complex parts of >>awesome. So jerome and chris who's the customer here? Obviously there's an exclusive period talk about the target customer. And how do customers get the product? How do we get the software? And how does this exclusivity with HP fit into it? >>Yeah. So there's really three types of customers and we really, we've worked a lot with a company called use design to optimize the user interface for each of the three types of customers. So we really thought about each uh customer role and providing with each of them the best product. Uh So the first type of customer application owners who are deploying application that requires an object storage in the back end. They typically want a simple objects to of one application. They wanted to be temple and work. I mean yesterday they want no freedom to just want an object store that works and they want to be able to start as small as they start with their application. Often it's, you know, the first department, maybe a small deployment. Um, you know, applications like backup like female rubric or uh, analytics like Stone Carver, tikka or false system now available as a software. Uh, you know, like Ceta does a really great department or nass that works very well. That means an object store in the back end of high performance computing. Wake up file system is an amazing file system. Um, we also have vertical application like broad peak, for example, who provides origin and view the software, the broadcasters. So all these applications, they request an object store in the back end and you just need a simple, high performance, working well object store and I'll discuss perfect. The second type of people that we think will be interested by artists. Uh essentially developers who are currently developing some communities of collaborative application your next year. Um and as part of their development stack, um it's getting better and better when you're developing a cloud native application to really target an object storage rather than NFS as you're persistently just, you know, think about generations of technologies and um, NFS and file system were great 25 years ago. I mean, it's an amazing technology. But now when you want to develop a distributed scalable application, objects toys a better fit because it's the same generation and so same thing. I mean, you know, developing something, they need uh an object so that they can develop on so they wanted very lightweight, but they also want the product that they're enterprise or their customers will be able to rely on for years and years on and this guy is really great for today. Um, the third type of customer are more architecture with security architects that are designing, uh, System where they're going to have 50 factories, 1000 planes, a million cars are going to have some local storage, which will they want to replicate to the core and possibly also to the club. And uh, as the design is really new generation workloads that are incredibly distributed. But with local storage, uh, these guys are really grateful for that >>and talk about the HP exclusive chris what's the, how does that fit into? They buy through sexuality. Can they get it for the HP? Are you guys working together on how customers can procure >>place? Yeah. Both ways they can procure it through security. They can secure it through HP. Uh, and it is the software stack running on our density, optimized compute platforms which you would choose online does. And to provide an enterprise quality because if it comes back to it in all of these use cases it's how do we align up into a true enterprise step? Um bringing about multi Tennessee, bringing about the fact that, you know, if you look at like a local racial coding, uh one of the things that they're bringing to it so that we can get down into the deal 3 25. So with the exclusivity, uh you actually get choice and that choice comes into our entire portfolio, whether it be the edge line platform, the D. L 3:25 a.m. B. Processing stack or the intel deal three eighties or whether whether it be the Apollo's or Alexa, there's there's so many ample choices there that facilitates this and it just allows us to align those two strategies >>awesome. And I think the kubernetes pieces really relevant because, you know, I've been interviewing folks practitioners um and kubernetes is very much maturing fast. It's definitely the centerpiece of the cloud native, both below the line, if you will under the hood for the, for the infrastructure and then for apps, um they want to program on top of it. That's critical. I mean, jeremy, this is like this is the future. >>Yeah. And if you don't mind, like to come back for a minute on the exclusive with HP. So we did a six month exclusive and the very reason we could do this is because HP has suffered such wrath of server portfolio and so we can go from, you know, really simple, very cheap, you know, HDD on the L 3 80 means a machine that retails for a few $4. I mean it's really like Temple System 50 terabyte. Uh we can have the dl 3 25. That uh piece mentioned there is really a powerhouse. All envy any uh slash uh all the storage is envy any uh very fast processors or uh you know, dance large large system like the Apollo 4500. So it's a very large breath of portfolio. We support the whole portfolio and we work together on this. So I want to say that you know, one of the reasons I want to send kudos to HP for for the breath of the silver lining rio as mentioned, um Jessica can be ordered from either company, hand in hand together. So anyway you'll see both of us uh and our field is working incredibly well together. >>We'll just on that point, I think just for clarification, uh was this co design by scalability and H P E. Because chris you mentioned, you know, the configuration of your systems. Can you guys quickly talk about the design, co design >>from from from the code base? The software entirely designed and developed by security from a testing and performance. So this really was a joint work with HP providing both hardware and manpower so that we could accelerate the testing phase. >>You know, chris H P E has just been doing such a great job of really focused on this. And you know, I've been Governor for years before it was fashionable the idea of apps working no matter where it lives. Public Cloud data center Edge, you mentioned. Edge line has been around for a while. You know, apps centric, developer friendly cloud first has been an H P E. Kind of guiding first principle for many, many years. >>But it has and you know, you know as our our ceo internal areas cited by 2022 everything will be able to be consumed as a service in our portfolio. Uh And then this stack allows us the simplicity and the consume ability of the technology and degranulation of it allows us to simplify the installation, simplify the actual deployment bringing into a cloud ecosystem. But more importantly for the end customer, they simply get an enterprise quality product running on identity optimized stack that they can consume through a orchestrated simplistic interface. That's that's cos that's what they're warning for today is where they come to me and asked hey how do I need a, I've got this new app new project and you know it goes back to who's actually coming, it's no longer the I. T. People who are actually coming to us, it's the lines of business. It's it's that entire dimension of business owners coming to us going this is my challenge and how can you HP help us And we rely on our breath of technology but also a breath of partners to come together and are of course reality is hand in hand and are collaborative business unit are collaborative storage product engineering group that actually brought this market. So we're very excited about this solution >>chris thanks for that input. Great insight, Jerome, congratulations on a great partnership with H. P. E. Obviously um great joint customer base congratulations on the product release here. Big moving the ball down the field as they say new functionality, clouds cloud native object store, phenomenal um So wrap wrap wrap up the interview. Tell us your vision for scalability in the future of storage. >>Yeah. Yeah I start I mean skeleton is going to be an amazing leader is already um but yeah so you know I have three themes that I think will govern how storage is going and obviously um Mark Andrews had said it software is everywhere and software is eating the world so definitely that's going to be true in the data center in storage in particular. Uh But the free trends that are more specific. First of all I think that security performance and agility is now basic expectation. It's not you know, it's not like an additional feature. It's just the best table, stakes, security performance and a job. Um The second thing is and we've talked about it during this conversation is edged to go you need to think your platform with Edge Co and cloud. You know you don't want to have separate systems separate design interface point for edge and then think about corn and think about clouds and then think about the divers. All this needs to be integrated in the design. And the third thing that I see as a major trend for the next 10 years is that a sovereignty uh more and more. You need to think about where is the data residing? What are the legal challenges? What is the level of protection against who are you protected? What what is your independence uh strategy? How do you keep as a company being independent from the people? You need to be independent. And I mean I say companies, but this is also true for public services. So these these for me are the three big trends. I do believe that uh software find distributed architecture are necessary for these tracks. But you also need to think about being truly enterprise grade. And there has been one of our focus with the design of a fresca. How do we combine a lot with product With all of the security requirements and that our sovereignty requirements that we expect to have in the next 10 years? >>That's awesome. Congratulations on the news scale. D Artois ca the big release with HP exclusive um, for six months, chris tucker, distinguished engineer at H P E. Great to ceo, jeremy, katz, ceo sexuality. Great to see you as well. Congratulations on the big news. I'm john for the cube. Thanks for watching. >>Mhm. >>Yeah.

(uplifting music) >> Hello and welcome to this Cube Conversation. I'm John Furrier, host of theCube here in Palo Alto, California. We've got two great remote guests to talk about some big news hitting with Scality and Hewlett Packard Enterprise. Jerome Lecat CEO of Scality and Chris Tinker, Distinguished Technologist from HPE, Hewlett Packard Enterprise, Jerome, Chris, great to see you both Cube alumnis from an original gangster days as we'd say back then when we started almost 11 years ago. Great to see you both. >> It's great to be back. >> Good to see you John. >> So, really compelling news around kind of this next generation storage cloud native solution. Okay, it's really kind of an impact on the next gen, I call next gen, dev ops meets application, modern application world and something we've been covering heavily. There's some big news here around Scality and HPE offering a pretty amazing product. You guys introduced essentially the next gen piece of it, Artesca, we'll get into in a second, but this is a game-changing announcement you guys announced, this is an evolution continuing I think is more of a revolution, but I think, you know storage is kind of abstractionally of evolution to this app centric world. So talk about this environment we're in and we'll get to the announcement, which is object store for modern workloads, but this whole shift is happening Jerome. This is a game changer to storage and customers are going to be deploying workloads. >> Yeah, Scality really, I mean, I personally really started working on Scality more than 10 years ago, close to 15 now. And if we think about it I mean the cloud has really revolutionized IT. And within the cloud, we really see layers and layers of technology. I mean, it all start at around 2006 with Amazon and Google and Facebook finding ways to do initially what was consumer IT at very large scale, very low credible reliability and then slowly creeped into the enterprise. And at the very beginning, I would say that everyone was kind of wizards trying things and really coupling technologies together. And to some degree we were some of the first wizard doing this, but we, we're now close to 15 years later and there's a lot of knowledge and a lot of experience, a lot of tools. And this is really a new generation. I'll call it cloud native, or you can call it next gen whatever, but there is now enough experience in the world, both at the development level and at the infrastructure level to deliver truly distributed automated systems that run on industry standard servers. Obviously good quality server deliver a better service than others, but there is now enough knowledge for this to truly go at scale. And call this cloud or call this cloud native. Really the core concept here is to deliver scalable IT at very low cost, very high level of reliability, all based on software. And we've, we've been participated in this motion, but we feel that now the breadth of what's coming is at the new level, and it was time for us to think, develop and launch a new product that's specifically adapted to that. And Chris, I will let you comment on this because the customers or some of them, you can add a customer, you do that. >> Well, you know, you're right. You know, I've been in the, I've been like you I've been in this industry for a, well, along time. Give a long, 20 to 21 years in HPE in engineering. And look at the actual landscape has changed with how we're doing scale-out software-defined storage for particular workloads. And we're a catalyst has evolved here is an analytics normally what was only done in the three letter acronyms and massively scale-out parallel namespace file systems, parallel file systems. The application space has encroached into the enterprise world where the enterprise world needed a way to actually take a look at how to, how do I simplify the operations? How do I actually be able to bring about an application that can run in the public cloud or on premise or hybrid, be able to actually look at a workload optimized step that aligns the actual cost to the actual analytics that I'm going to be doing the workload that I'm going to be doing and be able to bridge those gaps and be able to spin this up and simplify operations. And you know, and if you, if you are familiar with these parallel processes which by the way we actually have on our truck, I, I do engineer those, but they are, they are, they are they have their own unique challenges, but in the world of enterprise where customers are looking to simplify operations, then take advantage of new application, analytic workloads whether it be smart, Mesa, whatever it might be, right. I mean, if I want to spin up a Mongo DB or maybe maybe a, you know, last a search capability how do I actually take those technologies, embrace a modern scale-out storage stack that without without breaking the bank, but also provide a simple operations. And that's, that's why we look for object storage capabilities because it brings us this massive parallelization. Back to you John. >> Well before we get into the product. I want to just touch on one thing Jerome you mentioned, and Chris, you, you brought up the DevOps piece next gen, next level, whatever term you use. It is cloud native, cloud native has proven that DevOps infrastructure is code is not only legit. It's being operationalized in all enterprises and add security in there, you have DevSecOps, this is the reality and hybrid cloud in particular has been pretty much the consensus is that standard. So our defacto center whatever you want to call it, that's happening. Multicloud are on the horizon. So these new workloads are have these new architectural changes, cloud on premises and edge. This is the number one story. And the number one challenge all enterprises are now working on. How do I build the architecture for the cloud on premises and edge? This is forcing the DevOps team to flex and build new apps. Can you guys talk about that particular trend? And is it, and is that relevant here? >> Yeah, I, I now talk about really storage anywhere and cloud anywhere and and really the key concept is edge to go to cloud. I mean, we all understand now that the edge will host a lot of that time and the edge is many different things. I mean, it's obviously a smartphone, whatever that is, but it's also factories, it's also production. It's also, you know, moving moving machinery, trains, planes, satellites that that's all the edge, cars obviously. And a lot of that I will be both produced and process there, but from the edge who will want to be able to send the data for analysis, for backup, for logging to a call, and that call could be regional, maybe not, you know, one call for the whole planet, but maybe one corporate region the state in the U.S. And then from there you will also want to push some of the data to public cloud. One of the thing that we see more and more is that the D.R that has centered the disaster recovery is not another physical data center. It's actually the cloud, and that's a very efficient infrastructure very cost efficient, especially. So really it, it, it's changing the paradigm on how you think about storage because you really need to integrate these three layers in a consistent approach especially around the topic of security because you want the data to be secure all along the way. And data is not just data, its data, and who can access the data, who can modify the data what are the conditions that allow modification all automatically erasure of the data? In some cases, it's super important that the data automatically erased after 10 years and all this needs to be transported from edge to core to cloud. So that that's one of the aspects. Another aspects that resonates for me with what you said is a word you didn't say, but it's actually crucial this whole revolution. It's Kubernetes I mean, Kubernetes is in now a mature technology, and it's, it's just, you know the next level of automatized operation for distributed system, which we didn't have 5 or 10 years ago. And that is so powerful that it's going to allow application developers to develop much faster system that can be distributed again edge to go to cloud, because it's going to be an underlying technology that spans the three layers. >> Chris, your thoughts hybrid cloud. I've been, I've been having questions with the HPE folks for God years and years on hybrid clouds, now here. >> Right (chuckles) >> Well, you know, and, and it's exciting in a layout right, so you look at like a, whether it be enterprise virtualization, that is a scale-out general purpose virtualization workloads whether it be analytic workloads, whether it be no data protection is a paramount to all of this, orchestration is paramount. If you look at that DevSecOps, absolutely. I mean, securing the actual data the digital last set is, is absolutely paramount. And if you look at how we do this look at the investments we're making, we're making enough and look at the collaborative platform development which goes to our partnership with Scality. It is, we're providing them an integral aspect of everything we do, whether we're bringing in Ezmeral which is our software we use for orchestration look at the veneer of its control plane, controlling Kubernetes. Being able to actually control the active clusters and the actual backing store for all the analytics that we just talked about. Whether it be a web-scale app that is traditionally using a politics namespace and now been modernized and take advantage of newer technologies running an NBME burst buffers or a hundred gig networks with Slingshot network of 200 and 400 gigabit looking at how do we actually get the actual analytics, the workload to the CPU and have it attached to the data at risk. Where's the data, how do we land the data? How do we actually align, essentially locality, locality of the actual asset to the computer. And this is where, you know, we can look leverage whether it be a Zair or Google or name your favorite hybrid, hyperscaler, leverage those technologies leveraging the actual persistent store. And this is where Scality is, with this object store capability has it been an industry trendsetter, setting the actual landscape of how provide an object store on premise and hybrid cloud run it in a public cloud, but being able to facilitate data mobility and tie it back to, and tie it back to an application. And this is where a lot of things have changed in the world of analytics, because the applications that you, the newer technologies that are coming on the market have taken advantage of this particular protocol as threes. So they can do web scale massively parallel concurrent workloads. >> You know what let's get into the announcement. I love cool and relevant products. And I think this hits the mark. Scality you guys have Artesca, which is just announced. And I think it, you know, we obviously we reported on it. You guys have a lightweight true enterprise grade object store software for Kubernetes. This is the announcement, Jerome, tell us about it. What's the big deal? Cool and relevant, come on, this is cool. Right, tell us. >> I'm super excited. I'm not sure, if you can see it as well on the screen, but I'm super, super excited. You know, we, we introduced the ring 11 years ago and they says our biggest announcements for the past 11 years. So yes, do pay attention. And, you know, after, after looking at, at all these trends and understanding where we see the future going. We decided that it was time to embark (indistinct) So there's not one line of code that's the same as our previous generation product. They will both exist, they both have a space in the market. And Artesca was specifically designed for this cloud native era. And what we see is that people want something that's lightweight especially because it had to go to the edge. They still want the enterprise grid that Scality is known for. And it has to be modern. What we really mean by modern is, we see object storage now being the primary storage for many application more and more applications. And so we have to be able to deliver the performance, that primary storage expects. This idea of a Scality of serving primary storage is actually not completely new. When we launched Scality 10 years ago, the first application that we were supporting was consumer email for which we were, and we are still today, the primary storage. So we have, we know what it is to be the primary store. We know what's the level of reliability you need to hit. We know what, what latency means and latency is different from throughput, you really need to optimize both. And I think that still today we're the only object storage company that protects data from both replication and original encoding Because we understand that replication is faster, but the original encoding is more better, and more, of file where fast internet latency doesn't matter so much. So we we've been being all that experience, but really rethinking of product for that new generation that really is here now. And so where we're truly excited, I guess people a bit more about the product. It's a software, Scality is a software company and that's why we love to partner with HPE who's producing amazing servers, you know for the record and the history. The very first deployment of Scality in 2010 was on the HP servers. So this is a long love story here. And so to come back to our desk is lightweight in the sense that it's easy to use. We can start small, we can start from just one server or one VM I mean, you would start really small, but he can grow infinitely. The fact that we start small, we didn't, you know limit the technology because of that. So you can start from one to many and it's cloud native in the sense that it's completely Kubernetes compatible it's Kubernetes office traded. It will deploy on many Kubernetes distributions. We're talking obviously with Ezmeral we're also talking with zoo and with the other all those of communities distribution it will also be able to be run in the cloud. Now, I'm not sure that there will be many true production deployment of Artesca going the cloud, because you already have really good object storage by the cloud providers but when you are developing something and you want to test that, you know just doing it in the cloud is very practical. So you'll be able to deploy our Kubernetes cloud distribution, and it's more than object storage in the sense that it's application centric. A lot of our work is actually validating that our storage is fit for this single purpose application. And making sure that we understand the requirement of these application, that we can guide our customers on how to deploy. And it's really designed to be the primary storage for these new workloads. >> The big part of the news is your relationship with Hewlett Packard Enterprise is some exclusivity here as part of this and as you mentioned the relationship goes back many, many years. We've covered the, your relationship in the past. Chris also, you know, we cover HP like a blanket. This is big news for HPE as well. >> This is very big news. >> What is the relationship, talk about this exclusivity Could you share about the partnership and the exclusivity piece? >> Well, there's the partnership expands into the pan HPE portfolio. we look, we made a massive investment in edge IOT device. So we actually have how did we align the cost to the demand. Our customers come to us, wanting to looking at think about what we're doing with Greenlake, like in consumption based modeling. They want to be able to be able to consume the asset without having to do a capital outlay out of the gate. Number two, look at, you know how do you deploy technology, really demand. It depends on the scale, right? So in a lot of your web skill, you know, scale out technologies, it putting them on a diet is challenging. Meaning how skinny can you get it. Getting it down into the 50 terabyte range and then the complexities of those technologies at as you take a day one implementation and scale it out over you know, you know, multiple iterations over quarters, the growth becomes a challenge so working with Scality we, we believe we've actually cracked this nut. We figured out how to a number one, how to start small, but not limit a customer's ability to scale it out incrementally or grotesquely. You can eat depending on the quarters, the month, whatever whatever the workload is, how do you actually align and be able to consume it? So now whether it be on our Edgeline products our DL products go right there, now what that Jerome was talking about earlier you know, we, we, we ship a server every few seconds. That won't be a problem. But then of course, into our density optimized compute with the Apollo products. And this where our two companies have worked in an exclusivity where they scale the software bonds on the HP ecosystem. And then we can, of course provide you, our customers the ability to consume that through our GreenLake financial models or through a CapEx partners. >> Awesome, so Jerome and, and Chris, who's the customer here obviously, there's an exclusive period. Talk about the target customer and how the customers get the product and how they get the software. And how does this exclusivity with HP fit into it? >> Yeah, so there there's really a three types of customers and we've really, we've worked a lot with a company called UseDesign to optimize the user interface for each the types of customers. So we really thought about each customer role and providing with each of them the best product. So the, the first type of customer are application owners who are deploying an application that requires an object storage in the backend, you typically want a simple object store for one application, they want it to be simple and work. Honestly they want no thrill, just want an object store that works. And they want to be able to start as small as they start with their application. Often it's, you know, the first deployment maybe a small deployment, you know applications like a backup like VML, Rubrik, or analytics like (indistinct), file system that now, now available as a software, you know like CGI does a really great departmental NAS that works very well that needs an object store in the backend. Or for high performance computing a wake-up house system is an amazing file system. We will also have vertical application like road peak, for example, who provides origin and the view of the software broadcasters. So all these are application, they request an object store in the backend and you just need a simple high-performance working well object store and I'll discuss perfect for that. Now, the second type of people that we think will be interested by Artesca are essentially developer who are currently developing some capabilities or cloud native application, your next gen. And as part of their development stack, it's getting better and better when you're developing a cloud native application to really target an object storage rather than NFS, as you're persistent. It just, you know, think about generations of technologies and NFS and filesystem were great 25 years ago. I mean, it's an amazing technology. Now, when you want to develop a distributed scalable application object storage is a better fit because it's the same generation. And so same thing, I mean, you know, they're developing something they need an object store that they can develop on. So they want it very lightweight, but they also want the product that their enterprise or their customers will be able to rely on for years and years on. And this guy's really great fit to do that. The third type of customer are more architects, I would say are the architects that are designing a system where they are going to have 50 factories, a thousand planes, a million cars, they are going to have some local storage which will they want to replicate to the core and possibly also to the cloud. And as the design is really new generation workloads that are incredibly distributed but with local storage Artesca are really great for that. >> And tell about the HPE exclusive Chris. What's the, how does that fit in? Do they buy through Scality? Can they get it for the HP? Are you guys working together on how customers can procure it? >> Both ways, yeah both ways they can procure it through Scality. They can secure it through HPE and it's, it's it's the software stack running on our density optimized compute platforms which you would choose and align those and to provide an enterprise quality. Cause if it comes back to it in all of these use cases is how do we align up into a true enterprise stack, bringing about multitenancy bringing about the, the, the fact that you know, if you look at like a local coding one of the things that they're bringing to it, so that we can get down into the DL325. So with the exclusivity, you actually get choice. And that choice comes into our entire portfolio whether it be the Edgeline platform the DL325 AMD processing stack or the Intel 380, or whether it be the Apollos or like I said, there's, there's, there's so many ample choices there that facilitate this, and it's this allows us to align those two strategies. >> Awesome, and I think the Kubernetes piece is really relevant because, you know, I've been interviewing folks practitioners and Kubernetes is very much maturing fast. It's definitely the centerpiece of the cloud native both below the, the line, if you will below under the hood for the, for the infrastructure and then for apps, they want a program on top of it that's critical. I mean, Jerome, this is like, this is the future. >> Yeah, and if you don't mind like to come back to the myth on the exclusivity with HP. So we did a six month exclusive and the very reason we could do this is because HP has such breadth of server portfolio. And so we can go from, you know, really simple, very cheap you know, DL380, machine that we tell us for a few dollars. I mean, it's really like simple system, 50 terabyte. We can have the DL325 that Chris mentioned that is really a powerhouse all NVME, clash over storage is NVME, very fast processors you know, dense, large, large system, like the APOE 4,500. So it's a very large graph of portfolio. We support the whole portfolio and we work together on this. So I want to say that you know, one of the reason I want to send kudos to HP for the breadth of their server line really. As mentioned, Artesca can be ordered from either company. In hand-in-hand together, so anyway, you'll see both of us and our field working incredibly well together. >> Well, just on that point, I think just for clarification was this co-design by Scality and HPE, because Chris you mentioned, you know, the, the configuration of your systems. Can you guys, Chris quickly talk about the design. >> From, from, from the code base the software is entirely designed and developed by Scality, from testing and performance, so this really was a joint work with HP providing both a hardware and manpower so that we could accelerate the testing phase. >> You know, Chris HPE has just been doing such a great job of really focused on this. I know I've been covering it for years before it was fashionable. The idea of apps working no matter where it lives, public cloud, data center, edge. And you mentioned edge line's been around for awhile, you know, app centric, developer friendly, cloud first, has been an HPE kind of guiding first principle for many, many years. >> Well, it has. And, you know, as our CEO here intended, by 2022 everything will be able to be consumed as a service in our portfolio. And then this stack allows us the simplicity and the consumability of the technology and the granulation of it allows us to simplify the installation. Simplify the actual deployment bringing into a cloud ecosystem, but more importantly for the end customer. They simply get an enterprise quality product running on an optimized stack that they can consume through a orchestrated simplistic interface. That customers that's what they're wanting for today's but they come to me and ask, hey how do I need a, I've got this new app, new project. And, you know, it goes back to who's actually coming. It's no longer the IT people who are actually coming to us. It's the lines of business. It's that entire dimension of business owners coming to us, going this is my challenge. And how can you, HPE help us? And we rely on our breadth of technology, but also our breadth of partners to come together in our, of course Scality is hand in hand and our collaborative business unit our collaborative storage product engineering group that actually brought, brought this to market. So we're very excited about this solution. >> Chris, thanks for that input and great insight. Jerome, congratulations on a great partnership with HPE obviously great joint customer base. Congratulations on the product release here. Big moving the ball down the field, as they say. New functionality, clouds, cloud native object store. Phenomenal, so wrap, wrap, wrap up the interview. Tell us your vision for Scality and the future of storage. >> Yeah, I think I started in, Scality is going to be an amazing leader, it is already. But yeah, so, you know I have three things that I think will govern how storage is going. And obviously Marc Andreessen said it software is everywhere and software is eating the world. So definitely that's going to be true in the data center in storage in particular, but the three trends that are more specific are first of all, I think that security performance and agility is now basic expectation. It's, it's not, you know it's not like an additional feature. It's just the basic tables, security performance and our job. The second thing is, and we've talked about it during this conversation is edge to go. You need to think your platform with edge, core and cloud. You know, you, you don't want to have separate systems separate design interface point for edge and then think about the core and then think about cloud, and then think about the diverse power. All this needs to be integrated in a design. And the third thing that I see as a major trend for the next 10 years is data sovereignty. More and more, you need to think about where is the data residing? What are the legal challenges? What is the level of protection, against who are you protected? What is your independence strategy? How do you keep as a company being independent from the people you need to be in the band? And I mean, I say companies, but this is also true for public services. So these, these for me are the three big trends. And I do believe that software defined distributed architecture are necessary for these trends but you also need to think about being truly enterprise grade. and that has been one of our focus with design of Artesca. How do we combine a lightweight product with all of the security requirements and data sovereignty requirements that we expect to have in the next thing? >> That's awesome. Congratulations on the news Scality, Artesca. The big release with HPE exclusive for six months, Chris Tinker, Distinguished Engineer at HPE. Great to see you Jerome Lecat CEO of Scality, great to see you as well. Congratulations on the big news. I'm John Furrier from theCube. Thanks for watching. (uplifting music)

>>Hi and welcome back to Red Hat. Summit 2020. This is the Cube, and I'm your host. Stew minimum. We're talking so many topics. This event happening globally. We're treating our partners in the red hat executives where they are around the globe. And I guess right now is Nick Carr said, Who's the senior director of technology strategy with Red Hat, And Nic is coming to us. He's early in the Bahamas, speaking to us from his boat, though. Nick, pleasure to see you. And thanks so much for joining us. >>Very nice to meet you. Yeah, remote employees. And I enjoy that a lot. >>Absolutely. So we've been talking your team a lot. Of course. You know, many employees of Red Hat already were remote, but everyone now is working where they are. You're gonna be about a topic, of course, which is even more about riveted solutions. And where things are, we're going to talk about edge and five G before we get into the topic. It's a little bit about your background, how long you've been with red hat. And you know what? Your what your role is. >>So I joined right as a little more than five years ago after the acquisition. Off of all the companies that was working on open stack. Interesting technology. I've been in open source for the past 20 more years. Um, I was, uh, working miss of many distributions of Lennox over the years, so I consider myself in open source veteran. >>Excellent. I I remember that acquisition. We had the Cube at the open stack summit for many years on that, um, you know, new the company before the acquisition >>of the >>brand. And frankly, >>though, let's talk about it. First of all, you know, you talk about edge. Edge means different things to a >>lot of people >>are talking about it >>from a >>career perspective. You know, every customer in the Iot piece. Where does Red Hat into the whole notion of edge on? You know what kind of pieces of the portfolio? Yeah. >>So obviously, edge is about building an infrastructure that goes as far as possible to be as close as possible to where people are either producing or consuming data and building infrastructure as always, being the very heart off what Red Hat has been doing. And we've been growing. That's infrastructure capability. over time. So that means that today we feel the need to fulfill the requirements of those customers that want to extend their infrastructure to there. Because when we say the edge, we have to be countries that we're talking about. Like the layers of an onion more You dig into it. The more layers you find, the more particle case you have. There's no way there is a single. >>Yeah, no, you're absolutely right. So, you know, back in the open stack days, we talked a lot about in it, though Some of the barriers I know I've spoken to prizes. Who's, You know, we are of red Hat, though, you know, Maybe start there and help us understand. You know, where are we with the solution? Uh, talk about how five g fits into it. Of course. Everybody's talking about five feet. Well, that will take time, but help us understand where we are today. >>So, um, obviously for us, the edge years, just an extension of our open ivory clouds. Right? We have always been very vocal in saying that you need to be able to deploy the same workload in any place, and the edges are Justin extensions off these anyplace. So the same strategy that we've been developing first we use open stack, uh then with open shift and making open shift are both our development and our deployment platform for all types of workloads having open shift now, this report normally container based workloads, but also the visualization based workloads are exactly what we are doing at the edge. We want people to be able to deploy a single type of platform on various types of fruit brands managers globally. Ah is complete consistency so that there is no extra cost in maintaining those thousands, sometimes millions off added location into their existing infrastructure off course. In order to do that, we need to develop new tools to do the management to develop new AI or machine learning technology, to help people process not only the data coming from the platform, but also the management of the platform itself. We are reaching such scales that we wouldn't be able to do it. We've out. You are no from the platform yourself. >>Yeah, absolutely. And of course, scale is a relative before rise in. Yeah, I've talked to a couple of times. My understanding you've got news related. This that horizon went off? >>Yeah. This week Horizon has bean announcing ah, reinforce partnership between our two companies to help them heal their edge Platform. Ah, here we are talking about the first step in their edge platform which years? What we call the extension off the board we are talking about developing small data centers are going to be closer to the certainly. Um, And here we are talking about scales that, um can comprise to hundreds of data center, each having to 20 machines or more, um, to do all the processing of their future five g network and further, um, five g years, one off the enabler off edge. But it's also the reason for telcos to start deploying their edge network because the have a requirement to boot treatments off the information closer to where the five g antennas. And this is what we are developing. >>Alright. So, Nick, we talked. You've talked a minute ago about open stack and open fifth, help our audience understand a little bit. We've already talked a lot of customers. You don't. You can have one without the other, or you can layer off of the open stack when it comes to the the solution that you're talking about Verizon or ah, you know, other other service providers out there is it? Is it one is in both eyes that I've been there, Help us understand. >>So currently we have a complete shorts. We can do an edge platform. So Levi's open stack. You've got multiple customer doing that around the world. We can build an edge platform. We is open shift on top of the stack. But if we look at a future as we are, you know, designing it, we are looking at enabling simplicity and simplicity. Means deploying a single seeing open shift on to bare metal and have these bare metal platform deal we both vm and container so that you only have one AP I. You only have one management. You only have one thing to worry about. And since open shift and bark the OS, um, there is extreme simplicity in the methodology for updating or upgrading, and I think this is going to be a key point, making things simple, reducing the number of layers in your set. >>All right, that that really intrigued Nick, help us understand a little bit this ICO, Obviously any red hat doing is open source. It's how you're for that, you know, Red hat does. But you know how you're involved in the industry to help make the word that as edge solutions roll out that customers have flexibility in the first place. >>So you have multiple tee off partnership in this industry, you've got the partnership that are built around community and we are participating in numerous community, like the Lennox Foundation. Edge on many, many more. And this is where we are building the fundamental block off our future solutions we have. Partnership also is multiple vendor. Every time you're dealing with is a specific vertical. You will have a certain number of vendors that are going to be the one enabling 80% of the applications are going to be deployed, and that's okay for the edge. And then you have the partnership we made. We see our customers because the best source off requirements are always our customers. And that's something that we've now made a strong principle, which is to always find early adopters with when we are going to build a solution in a vertical sector on the horizon is one of them has been one of them. For what, a few years now and then replicate this success on to other customers of same sex. And we are reproducing this in the industry and manufacturing sector and in many other virtual. >>Excellent. Uh, you talked earlier about the open hybrid cloud. Obviously talk about they right, Wild help us understand, Nick. You know, edge and cloud. How do they actually go together? Many people. First of all, the people living article that was, you know, edge kills the cloud we've been talking about for a while. We know everything in i t is always additive. But how should customers on the surface but really be thinking about how edge cloud fit together >>in our design? The cloud and the edge is the same thing. You address the edge, you address the cloud, you should address your on premise art where the same way you use the same guy. And this driving FBI ease of communities, FBI, which we deliver through open ship. Um, soon. What is the difference? The difference is going to be who owns the edge, or we also machine running in your cloud who owns the machine running in your private data center. What network you're using, you're going to have Ah, a lot of constrained are going to be a bit more complex when you aren't yet. For example, you are sometimes going to go through the satellite connection. These huge delays in communication you're sometime going to put machines location that are absolutely not secure. So you need to have security layers. You're ensuring that nobody can remember these machines. These are you know it. But overall, once the deployment has done, we really, really on. People should consider that's their edge piece parts of their cloud or vice versa. >>Yeah, Nick, you brought up a lot of good points there. Security, of course. Critical. A one piece that I want to get your honest about. So we're spending a few years really looking at in a worker's process at the edge. What that's brought back core talk about AI work. Both generally understood praying things out at the edge. That's gonna happen. You know more of the core and then get out of the overall devices. What do you seeing where your customers But that overall, when it comes to their data. And >>from a technical perspective, data is the real real motivation about yet they are generating so much data that we are not able to process it anymore in a central location. So we have to process this data locally where it is generated. Or I suppose it's possible to where it is generated before sending, Let's say, a summary of these data or alerts or whatever the business process that pulls for to the center of operation. The use cases that we are demonstrating in this week, uh, that you can watch through the demo booth or you can watch increases. Ah, known presentation. Use the pays off manufacturer, which is installing sensors on many of the machine producing oh stuff. And when you have the right sensors like the vibration sensor or a temperature sensor, you can very easily develop knowledge off. Oh, this machine is going to break in a short amount of time. Maybe I should start scheduling some preventive maintenance on these machines, and you can do that by just actually leading the data and have humans read it. And you can do that a lot more efficiently. Training a machine learning algorithm This is what we are demonstrating that is processing the data and sending the alerts in real part when issues are discovered. Um, all this off course needs to be down in a very scalable fashion. Here we are talking about a use case where the customer may have 50 factories >>around the world. >>Are you updates all these machine learning models in all the factories when you have an update percent to learn about something you so data and data processing and now the eye. But big data are the heart off all of the use cases we, uh, discovered around old verticals for edge. And this is why we are now almost joining forces between the team working on AI. That's right out producing the open data hub and the team marking teams working on our solution. >>Yeah, I'm really glad you brought up manufacturing as the is one of the verticals. Look at their one of the turns and challenges we saw with all of that is yeah, some of the organization, Specifically, if you look at manufacturing, it could be an ot. Um, I'm curious is you're seeing solutions. Roll out your work, Aziz. How Customers are getting beyond those barriers. You know, some of the traditional silos where there was thoroughly collaborate. >>Well, it's always Ah, problem. Every time you introduce a change, you have to manage this in every project off, deploying something you anywhere well, fail if you do not account for the human factor and edge is no different in that. And when you're talking about the factory, if you're not directly talking with the people on the floor well, regarding their needs, you're only talking is a central guy. And you just arrived one day saying, Oh, everything is going to change. It's going to be a failure that the same way is a failure when the government make a decision without going through a consultative process before implementing it. So, um, nothing new, I would say. But as usual, And maybe because of the scale of edge, yeah, we will need to ensure that our customers are aware of those challenges that lay ahead of us. >>Alright, Well, next sounds Sounds like a lot of good progress. Been made definitely further breakout. What? From summit? You learn more. Thank you so much for joining. >>Thank you for having me >>all right. More coverage from the Cube at Red Hat Summit 2020. I'm screaming a man and as always what? Alright, Nick. Good stuff.