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Steve Mullaney, CEO, Aviatrix | AWS re:Invent 2022


 

(upbeat music) >> You got it, it's theCUBE. We are in Vegas. This is the Cube's live coverage day one of the full event coverage of AWS reInvent '22 from the Venetian Expo Center. Lisa Martin here with Dave Vellante. We love being in Vegas, Dave. >> Well, you know, this is where Super Cloud sort of was born. >> It is. >> Last year, just about a year ago. Steve Mullaney, CEO of of Aviatrix, you know, kind of helped us think it through. And we got some fun stories around. It's happening, but... >> It is happening. We're going to be talking about Super Cloud guys. >> I guess I just did the intro, Steve Mullaney >> You did my intro, don't do it again. >> Sorry I stole that from you, yeah. >> Steve Mullaney, joined just once again, one of our alumni. Steve, great to have you back on the program. >> Thanks for having me back. >> Dave: It's happening. >> It is happening. >> Dave: We talked about a year ago. Net Studio was right there. >> That was two years. Was that year ago, that was a year ago. >> Dave: It was last year. >> Yeah, I leaned over >> What's happening? >> so it's happening. It's happening. You know what, the thing I noticed what's happening now is the maturity of the cloud, right? So, if you think about this whole journey to cloud that has been, what, AWS 12 years. But really over the last few years is when enterprises have really kind of joined that journey. And three or four years ago, and this is why I came out of retirement and went to Aviatrix, was they all said, okay, now we're going to do cloud. You fast forward now three, four years from now, all of a sudden those five-year plans of evacuating the data center, they got one year left, two year left, and they're going, oh crap, we don't have five years anymore. We're, now the maturity's starting to say, we're starting to put more apps into the cloud. We're starting to put business critical apps like SAP into the cloud. This is not just like the low-hanging fruit anymore. So what's happening now is the business criticality, the scale, the maturity. And they're all now starting to hit a lot of limits that have been put into the CSPs that you never used to hit when you didn't have business critical and you didn't have that scale. They were always there. The rocks were always there. Just it was, you never hit 'em. People are starting to hit 'em now. So what's happening now is people are realizing, and I'm going to jump the gun, you asked me for my bumper sticker. The bumper sticker for Aviatrix is, "Good enough is no longer good enough." Now it's funny, it came in a keynote today, but what we see from our customers is it's time to upgrade the native constructs of networking and network security to be enterprise-grade now. It's no longer good enough to just use the native constructs because of a lack of visibility, the lack of controls, the lack of troubleshooting capabilities, all these things. "I now need enterprise grade networking." >> Let me ask you a question 'cause you got a good historical perspective on the industry. When you think about when Maritz was running VMWare. He was like any app, he said basically we're building a software mainframe. And they kind of did that, right? But then they, you know, hit the issue with scale, right? And they can't replicate the cloud. Are there things that we can draw from that experience and apply that to the cloud? What's the same, what's different? >> Oh yeah. So, 1992, do you remember what happened in 1992? I do this, weird German software company called SAP >> Yeah, R3. announced a release as R/3. Which was their first three-tier client-server application of SAP. Before that it ran on mainframes, TCP/IP. Remember that Protocol War? Guess what happened post-1992, everybody goes up like this. Infrastructure completely changes. Cisco, EMC, you name it, builds out these PCE client-server architectures. The WAN changes, MPLS, the campus, everything's home running back to that data center running SAP. That was the last 30 years ago. Great transformation of SAP. They've did it again. It's called S/4Hana. And now it's running and people are switching to S/4Hana and they're moving to the cloud. It's just starting. And that is going to alter how you build infrastructure. And so when you have that, being able to troubleshoot in hours versus minutes is a big deal. This is business critical, millions of dollars. This is not fun and games. So again, back to my, what was good enough for the last three or four years for enterprises no longer good enough, now I'm running business critical apps like SAP, and it's going to completely change infrastructure. That's happening in the cloud right now. And that's obviously a significant seismic shift, but what are some of the barriers that customers have been able to eliminate in order to get there? Or is it just good enough isn't good enough anymore? >> Barriers in terms of, well, I mean >> Lisa: The adoption. Yeah well, I mean, I think it's all the things that they go to cloud is, you know, the complexity, really, it's the agility, right? So the barrier that they have to get over is how do I keep the developer happy because the developer went to the cloud in the first place, why? Swipe the credit card because IT wasn't doing their job, 'cause every time I asked them for something, they said no. So I went around 'em. We need that. That's what they have to overcome in the move to the cloud. That is the obstacle is how do I deliver that visibility, that control, the enterprise, great functionality, but yet give the developer what they want. Because the minute I stop giving them that swipe the card operational model, what do you think they're going to do? They're going to go around me again and I can't, and the enterprise can't have that. >> That's a cultural shift. >> That's the main barrier they've got to overcome. >> Let me ask you another question. Is what we think of as mission critical, the definition changing? I mean, you mentioned SAP, obviously that's mission critical for operations, but you're also seeing new applications being developed in the cloud. >> I would say anything that's, I call business critical, same thing, but it's, business critical is internal to me, like SAP, but also anything customer-facing. That's business critical to me. If that app goes down or it has a problem, I'm not collecting revenue. So, you know, back 30 years ago, we didn't have a lot of customer-facing apps, right? It really was just SAP. I mean there wasn't a heck of a lot of cust- There were customer-facing things. But you didn't have all the digitalization that we have now, like the digital economy, where that's where the real explosion has come, is you think about all the customer-facing applications. And now every enterprise is what? A technology, digital company with a customer-facing and you're trying to get closer and closer to who? The consumer. >> Yeah, self-service. >> Self-service, B2C, everybody wants to do that. Get out of the middle man. And those are business critical applications for people. >> So what's needed under the covers to make all this happen? Give us a little double click on where you guys fit. >> You need consistent architecture. Obviously not just for one cloud, but for any cloud. But even within one cloud, forget multicloud, it gets worst with multicloud. You need a consistent architecture, right? That is automated, that is as code. I can't have the human involved. These are all, this is the API generation, you've got to be able to use automation, Terraform. And all the way from the application development platform you know, through Jenkins and all other software, through CICD pipeline and Terraform, when you, when that developer says, I want infrastructure, it has to go build that infrastructure in real time. And then when it says, I don't need it anymore it's got to take it away. And you cannot have a human involved in that process. That's what's completely changed. And that's what's giving the agility. And that's kind of a cloud model, right? Use software. >> Well, okay, so isn't that what serverless does, right? >> That's part of it. Absolutely. >> But I might still want control sometimes over the runtime if I'm running those mission critical applications. Everything in enterprise is a heterogeneous thing. It's like people, people say, well there's going to, the people going to repatriate back to on-prem, they are not repatriating back to on-prem. >> We were just talking about that, I'm like- >> Steve: It's not going to happen, right? >> It's a myth, it's a myth. >> And there's things that maybe shouldn't have ever gone into the cloud, I get that. Look, do people still have mainframes? Of course. There's certain things that you just, doesn't make sense to move to the new generation. There were things, certain applications that are very static, they weren't dynamic. You know what, keeping it on-prem it's, probably makes sense. So some of those things maybe will go back, but they never should have gone. But we are not repatriating ever, you know, that's not going to happen. >> No I agree. I mean, you know, there was an interesting paper by Andreessen, >> Yeah. >> But, I mean- >> Steve: Yeah it was a little self-serving for some company that need more funding, yeah. You look at the numbers. >> Steve: Yeah. >> It tells the story. It's just not happening. >> No. And the reason is, it's that agility, right? And so that's what people, I would say that what you need to do is, and in order to get that agility, you have to have that consistency. You have to have automation, you have to get these people out of the way. You have to use software, right? So it's that you have that swipe the card operational model for the developers. They don't want to hear the word no. >> Lisa: Right. >> What do you think is going to happen with AWS? Because we heard, I don't know if you heard Selipsky's keynote this morning, but you've probably heard the hallway talk. >> Steve: I did, yeah. >> Okay. You did. So, you know, connecting the dots, you know doubling down on all the primitives, that we expected. We kind of expected more of the higher level stuff, which really didn't see much of that, a little bit. >> Steve: Yeah. So, you know, there's a whole thing about, okay, does the cloud get commoditized? Does it not? I think the secret weapon's the ecosystem, right? Because they're able to sell through with guys like you. Make great margins on that. >> Steve: Yeah, well, yeah. >> What are your thoughts though on the future of AWS? >> IAS is going to get commoditized. So this is the fallacy that a lot of the CSPs have, is they thought that they were going to commoditize enterprise. It never happens that way. What's going to happen is infrastructure as a service, the lower level, which is why you see all the CSPs talking about what? Oracle Cloud, industry cloud. >> Well, sure, absolutely, yeah. >> We got to get to the apps, we got to get to SAP, we got to get to all that, because that's not going to get commoditized, right. But all the infrastructural service where AWS is king that is going to get commoditized, absolutely. >> Okay, so, but historically, you know Cisco's still got 60% plus gross margins. EMC always had good margin. How pure is the lone survivor in Flash? They got 70% gross margins. So infrastructure actually has always been a pretty good business. >> Yeah that's true. But it's a hell of a lot easier, particularly with people like Aviatrix and others that are building these common architectural things that create simplicity and abstract the way the complexities of underneath such that we allow your network to run an AWS, Azure, Google, Oracle, whatever, exactly the same. So it makes it a hell of a lot easier >> Dave: Super cloud. >> to go move. >> But I want to tap your brain because you have a good perspective of this because servers used to be a great margin business too on-prem and now it's not. It's a low margin business 'cause all the margin went to Intel. >> Yeah. But the cloud guys, you know, AWS in particular, makes a ton of dough on servers, so, or compute. So it's going to be interesting to see over time if that gets com- that's why they're going so hard after silicon. >> I think if they can, I think if you can capture the workload. So AWS and everyone else, as another example, this SAP, they call that a gravity workload. You know what gravity workload is? It's a black hole. It drags everything else with it. If you get SAP or Oracle or a mainframe app, it ain't going anywhere. And then what's going to happen is all your other apps are going to follow it. So that's what they're all going to fight for, is type of app. >> You said something earlier about, forget multicloud, for a moment, but, that idea of the super cloud, this abstraction layer, I mean, is that a real business value for customers other than, oh I got all these clouds, I need 'em to work together. You know, from your perspective from Aviatrix perspective, is it an opportunity for you to build on top of that? Or are you just looking at, look, I'm going to do really good work in AWS, in Azure? Now we're making the same experience. >> I hear this every single day from our customers is they look and they say, good enough isn't good enough. I've now hit the point, I'm hitting route limitations. I'm hitting, I'm doing things manually, and that's fine when I don't have that many applications or I don't have mission critical. The dogs are eating the dog food, we're going into the cloud and they're looking and then saying this is not an operational model for me. I've hit the point where I can't keep doing this, I can't throw bodies at this, I need software. And that's the opportunity for us, is they look and they say, I'm doing it in one cloud, but, and there's zero chance I'm going to be able to figure that out in the two or three other clouds. Every enterprise I talk to says multicloud is inevitable. Whether they're in it now, they all know they're going to go, because it's the business units that demand it. It's not the IT teams that demand it, it's the line of business that says, I like GCP for this reason. >> The driver's functionality that they're getting. >> It's the app teams that say, I have this service and GCP's better at it than AWS. >> Yeah, so it's not so much a cost game or the end all coffee mug, right? >> No, no. >> Google does this better than Microsoft, or better than- >> If you asked an IT person, they would rather not have multicloud. They actually tried to fight it. No, why would you want to support four clouds when you could support one right? That's insane. >> Dave and Lisa: Right. If they didn't have a choice and, and so it, the decision was made without them, and actually they weren't even notified until day before. They said, oh, good news, we're going to GCP tomorrow. Well, why wasn't I notified? Well, we're notifying you now. >> Yeah, you would've said, no. >> Steve: This is cloud bottle, let's go. >> Super cloud again. Did you see the Berkeley paper, sky computing I think they call it? Down at Berkeley, yep Dave Linthicum from Deloitte. He's talking about, I think he calls it meta cloud. It's happening. >> Yeah, yeah, yeah. >> It's happening. >> No, and because customers, customers want that. They... >> And talk about some customer example or two that you think really articulates the value of why it's happening and the outcomes that it's generating. >> I mean, I was just talking to Lamb Weston last night. So we had a reception, Lamb Weston, huge, frozen potatoes. They serve like, I dunno, some ungodly percentage of all the french fries to all the fast food. It's unbelievable what they do. Do you know, they have special chemicals they put on the french fries. So when you get your DoorDash, they stay crispy longer. They've invented that patented it. But anyway, it's all these businesses you've never heard of and they do all the, and again, they're moving to SAP or they're actually SAP in the cloud, they're one of the first ones. They did it through Accenture. They're pulling it back off from Accenture. They're not happy with the service they're getting. They're going to use us for their networking and network security because they're going to get that visibility and control back. And they're going to repatriate it back from a managed service and bring it back and run it in-house. And the SAP basis engineers want it to happen because they see the visibility and control that the infrastructure guy's going to get because of us, which leads to, all they care about is uptime and performance. That's it. And they're going to say the infrastructure team's going to lead to better uptime and better performance if it's running on Aviatrix. >> And business performance and uptime, business critical >> That is the business. That is the business. >> It is. So what are some of the things next coming down the pike from Aviatrix? Any secret sauce you can share? >> Lot of secrets. So, two secrets. One, the next thing people really want to do, embedded network security into the network. We've kind of talked about this. You're going to be seeing some things from us. Where does network security belong? In the network. Embedded in the fabric of the network, not as this dumb device called the next-gen firewall that you steer traffic to. It has to be into the fabric of what we do, what we call airspace. You're going to see us talk about that. And then the next thing, back to the maturity of the cloud, as they build out the core, guess what they're doing? It's this thing called edge, Dave, right? And guess what they're going to do? It's not about connecting the cloud to the edge to the cloud with dumb things like SD-WAN, right? Or SaaS. It's actually the other way around. Go into the cloud, turn around, look out at the edge and say, how do I extend the cloud out to the edge, and make it look like a VPC. That's what people are doing. Why, 'cause I want the operational model. I want all the things that I can do in the cloud out at the edge. And everyone knows it's been in networking. I've been in networking for 37 years. He who wins the core does what? Wins the edge, 'cause that's what happens. You do it first in the core and then you want one architecture, one common architecture, one consistent way of doing everything. And that's going to go out to the edge and it's going to look like a VPC from an operational model. >> And Amazon's going to support that, no doubt. >> Yeah, I mean every, you know, every, and then it's just how do you want to go do that? And us as the networking and network security provider, we're getting dragged to the edge by our customer. Because you're my networking provider. And that means, end to end. And they're trying to drag us into on-prem too, yeah. >> Lot's going on, you're going to have to come back- >> Because they want one networking vendor. >> But wait, and you say what? >> We will never do like switches and any of the keep Arista, the Cisco, and all that kind of stuff. But we will start sucking in net flow. We will start doing, from an operational perspective, we will integrate a lot of the things that are happening in on-prem into our- >> No halfway house. >> Copilot. >> No halfway house, no two architectures. But you'll take the data in. >> You want one architecture. >> Yeah. >> Yeah, totally. >> Right play. >> Amazing stuff. >> And he who wins the core, guess what's more strategic to them? What's more strategic on-prem or cloud? Cloud. >> It flipped three years ago. >> Dave: Yeah. >> So he who wins in the clouds going to win everywhere. >> Got it, We'll keep our eyes on that. >> Steve: Cause and effect. >> Thank you so much for joining us. We've got your bumper sticker already. It's been a great pleasure having you on the program. You got to come back, there's so, we've- >> You posting the bumper sticker somewhere? >> Lisa: It's going to be our Instagram. >> Oh really, okay. >> And an Instagram sto- This is new for you guys. Always coming up with new ideas. >> Raising the bar. >> It is, it is. >> Me advance, I mean, come on. >> I love it. >> All right, for our guest Steve Mullaney and Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage.

Published Date : Nov 29 2022

SUMMARY :

This is the Cube's live coverage day one Well, you know, this is where you know, kind of helped We're going to be talking don't do it again. I stole that from you, yeah. Steve, great to have you Dave: We talked about Was that year ago, that was a year ago. We're, now the maturity's starting to say, and apply that to the cloud? 1992, do you remember And that is going to alter in the move to the cloud. That's the main barrier being developed in the cloud. like the digital economy, Get out of the middle man. covers to make all this happen? And all the way from the That's part of it. the people going to into the cloud, I get that. I mean, you know, there You look at the numbers. It tells the story. and in order to get that agility, going to happen with AWS? of the higher level stuff, does the cloud get commoditized? a lot of the CSPs have, that is going to get How pure is the lone survivor in Flash? and abstract the way 'cause all the margin went to Intel. But the cloud guys, you capture the workload. of the super cloud, this And that's the opportunity that they're getting. It's the app teams that say, to support four clouds the decision was made without them, Did you see the Berkeley paper, No, and that you think really that the infrastructure guy's That is the business. coming down the pike from Aviatrix? It's not about connecting the cloud to And Amazon's going to And that means, end to end. Because they want and any of the keep Arista, the Cisco, But you'll take the data in. And he who wins the core, clouds going to win everywhere. You got to come back, there's so, we've- This is new for you guys. the leader in live enterprise

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Chance Bingen, NetApp & Jason Massae, VMware | VMware Explore 2022


 

(upbeat music) >> Hey everyone. Welcome back to San Francisco, VMware Explorer 2022, Lisa Martin and Dave Nicholson here. We've been having some great conversations today. Lots of news coming out about VMware and its partner ecosystem. We're going to have another conversation about that next. Please welcome two guests to the program, Chance Bingen, technical marketing engineer at NetApp and Jason Massae, staff technical marketing architect, storage and vVols at VMware. Guys, welcome to the program. >> Thanks. >> Glad to be here. >> It's nice to be back in person. >> It is. It's very nice. Oh my gosh. >> And we're hearing there about 7,000 to 10,000 people here, when I was in the Keynote, this morning it was definitely standing room only. >> Yeah, yeah. You've definitely seen the numbers ticked up at the last minute. It was good to see that. It's good, I think a lot of people have really wanted to get back, get that one on one that face to face. There's nothing like being able to, you know, talk to, the experts, talk to the vendors, you know, see your comrades. I mean, that's the thing. I mean, we've seen people that I haven't seen for years, even on my own team, so really good to be back into it. >> It is and it was lots of news coming out this morning during the Keynote. My goodness. But Jason, talk to me, the NetApp and VMware folks had been in tight partnership for a long time. Talk to me about, get both of your perspective from a technical perspective about the depth of the partnership. >> Yeah, so actually NetApp was one of the original design partners for vVols. And with that, now with some of the stuff we're doing with more current stuff with virtual volumes is, NetApp is back and we've got some pretty neat stuff that we've been working on with vVols. And NetApp's got some pretty neat stuff that they've been working on to enable the customers with more features, more functionality with the virtual volume functionality. >> Yeah, absolutely. >> Give us a quick primer on what is a vVol? What is a virtual volume? How does it fit into the, into this stack of stuff that we do in IT? >> Yeah. So the easiest way to kind of think of what a vVol is or a virtual volume is you can think of it kind of like an RDM, those row device map, which is kind of a four letter word. We don't really like those, but the idea is that object, that virtual volume is native on the array and presented directly to the VM. But now what we do is we're presenting all of the storage array features up to vSphere and we're managing those storage features via policy based management. But instead of applying storage capabilities at a data store level, we're now applying them at a VM or an application level. So you can have one data store and multiple VMs, and every VM can have a different storage capability managed by a policy that the VI admin gets to manage now. So he doesn't have to go to the storage admin to say, I need a new line, or I need a new volume. He can just go in and create a policy or change a policy. And now that storage capability is applied to the VM or the application. >> Yeah. One thing I'd like to add to that is you can mentioned the word capabilities. >> So we look at the actual data protocols, whether they're file based or block based, you know, I-scuzzy, fiber channel, whatever the case might be. Those protocols have defined sets of capabilities and attributes and things they can expose. What vVols along with the VASA protocol brings to the table is the ability to expose things that are just impossible to expose via the data protocols themselves. So that the, actual nature of the array, what kind of array is it? What's it capable of doing? What is the nature of, you know, encryption? You know, is this going to be a secure, encrypted data store? Is it going to be something else? It just allows you to do so much more with the advanced capabilities that modern storage arrays have than you could ever do if you were just using the data protocols by themselves. >> Right? Yeah. Kind of under that same context. If you think about before with traditional storage, the vSphere or the array really doesn't understand what's going on underlying storage, but with vVols the array and vSphere completely understand at a disc level even, how that VM should be treated. So that helps the storage admin. Storage admin can now go in and see a specific disc of a VM and see the performance on the array. They can go in the array and see, oh, this disc on this VM has got performance issues or needs to be encrypted, or here's the size of that disc. And you couldn't easily see that with your traditional storage. So there's really a lot of benefits and it frees up a lot of time for the storage administrator and enables the VI admin to be able to do a lot of the storage management. >> So there have been, there been a lot of movements over the last decade in the realm of software defined storage. Where essentially all of the things that you are talking about are completely abstracted from the underlying hardware. In this case, you're leveraging the horsepower, if you will and the intelligence of a storage array that has a lot of horsepower and intelligence, and you're accessing those features. You mentioned encryption, whether if you're doing a snapshot or something like that, what's interesting here is it kind of maps to what we're looking at now, which is the trend in the direction of things like DPUs. >> If you go back in history long enough, we had the, you know, the TOE, NIC, TCP offload, you know, the idea of, hey, you know what, what if we had a smart device with its own brain power and we leveraged it. Well, you guys have been doing that from a vVols all perspective with NetApp filers, for lack of better term. For how long now, when did, when were they originally? >> 6.0 it was so it's been what? 11, 12 years. Something like that. >> It's been a while. So yeah, but it's been a decade or so. >> Mm-hmm >> So what's on the frontier. What's the latest there in terms of, in terms of cool stuff that's coming out. >> So actually today, in one of the things that we worked with NetApp that was part of the design partnership was, you know, the NVMe over Fabric protocol has become very popular to extend that functionality of all flash to the, an external array. And now we announce today, in including with that NVMe over Fabrics, you can now do vVols with NVMe over Fabrics. And again, that was something that we worked with NetApp to be a design partner for them. >> That's right. We're very excited about it. We've always been, you know, NVMe been something we've been very proud of for a while. Delivering the first end to end NVMe stack from inside the host, through the fabric, to the array, with the arrays front ports, all the way to the disc on the backend. So we're very excited about that. >> So target market joint NetApp, VMware customers, I presume. >> Really it's, the key here that I like to make sure customers understand is to see that vVols are on the leading edge of VMware's storage design. Some tend to think that maybe vVols wasn't the primary focus, but actually now it is the primary focus. Now I always like to give the caveat that VMFS and NFS are not going away. Those are still very much stuff that we work on. It's just that most of the engineering focus is on virtual volumes or vVols. >> Yeah. Similarly, when you talk about and you're sort of alluding to vSAN when we start talking about VMFS and things like that. >> Yeah. >> Architecturally, we've been talking to folks about the recent announcements with capabilities within AWS. You know, NetApp in AWS for VMware environments. Breaking out of the stranglehold that the, oh, you want more storage, you must buy more CPU and memory, building block process entails. The reality is no matter what you do with vSAN, you're going to have certain constraints that go away when now you have the option to leverage storage from the NetApp filers. >> Yeah, absolutely. >> So how does, how do vVols play in the cloud strategy moving forward? >> Well, so one of the things that we do with, vVols currently is mostly On-prem. But when you have the storage architecture, that vVols gives you as far as individual objects, it makes it much easier to migrate up into the cloud because you're not trying to migrate individual VMs that are on another type of system, whatever it might be, those objects are already their own entity. Right, so cloud, Tanzu, those type of things, those vVol objects are already their own entity. So it makes it very easy to migrate them on and off prem. >> So Chance talk to us a little bit about this from NetApp's perspective. You're in customer conversations, who are you talking to? Is this primarily an engineering conversation? Has this gone up the stack in terms of customers are finding themselves in this default multi-cloud environment? >> Yeah, so interestingly, when I talk to customers these days they are almost all either on a journey to a hybrid multi-cloud or they're in some kind of phase of transforming themselves into their own hyperscaler, right? They're be adopting a cloud service provider model and vVols is a perfect fit for that kind of model, because you have the ability to offer different tiers of service, different qualities of service with VM granular controls or VMDK granular controls, even. And even if you look at First Class Disc, right? Which is something that came out largely to support Tanzu, I think which fantastic use case for vVols as well there, but that gives you the ability to offer something like Amazon EBS, right? You can offer Amazon EBS in a native VMware stack using First Class Discs and vVols. And you're able to apply things like quality of service with that granular control that allows you to guarantee that customer the disc that they bought and paid for. They're going to get the IOPS that they're paying for because you're applying those QoS policies directly to that object on the array. And instead of having to worry about is the array going to be able to handle it? Are you going to have one VM that consumes all your IO, you know? You don't have to worry about that with vVols because you've got that integration with the array's native quality controls. >> And Chance what's in this for me as a customer? I'm hearing productivity, I'm hearing cost savings, control efficiency. Talk to me about the benefits in it for the folks that you're talking to. >> Yeah, absolutely. A lot of times it comes down to, you know I mentioned like the cloud service provider model, right? When you're looking to build a robust service catalog and you're able, you want to be able to meet all these like, we mentioned Tanzu, right? Containers as a service, you're able to provide the persistent volumes for your Kubernetes containers that are again, these native objects on the array and you have these fine grain controls, but it's handled at massive scale because it's all handled by storage policies, Kubernetes storage classes, which are natively mapped to VM storage policies through Tanzu. So it just, it gives you the ability to offer all of these services in a, again a rich and robust contents catalog. >> So what are you doing? So you mentioned a couple of things in terms of using array based quality of service. So give me an example of how you're avoiding issues of contention and over subscription in an environment where I'm an administrator and I've got this virtual volume that's servicing this VM or this app on this VM. What kind of visibility do I have down into the actual resources because look at the end of that chain there's a physical resource. And that physical resource represents, what? IOPS and bandwidth and latency and throughput and all of this bundle of things. So how do you avoid colliding with others who are trying to carve vVols out of this world? >> You mean like a noisy neighbor type of thing? >> Yeah. Yeah. >> So that's actually one of the big benefits that you get with vVols is that because those vial objects are native on the array, they're not sharing a loan or a volume. They're not sharing a resource. The only resource they're actually sharing is the array itself. So you don't get that typical noisy neighbor where this one's using all the resources of that volume because really you're looking out at the all encompassing array. And so a storage administrator and the VI admin have a lot more insight. The VI admin can now go to the storage admin if there's say a debugging issue, they want to find a problem. The storage admin now can see those individual objects and say, oh, well this VM, it's not really this, it's not all the discs. It's just disc number two or disc number three or they can actually see at a single disc level on the array, the performance, the latency, you know, the QS, all that stuff. >> Oh, absolutely. >> And that really is what, it frees up at the storage admin's time because the debugging is so much more simple. And it also allows the storage admin a lot more insight. Right? They know those, what's the problem. If you were typically looking at a loaner volume, they don't really know what's going on inside that and neither does the array. But with vVols, the array knows what each disc and how it's supposed to be treated based on the policies that the customer defines. So if one VM is supposed to have a certain QS and another VM isn't. The array knows that that VM, if it goes above it, it's going to be like, nope, you can't have those resources. You weren't granted those resources, but this one was. So you have much more control. And again, it's at an application or a VM level. >> And it's still, it's fairly dynamically configurable. I spoke to a customer just the other day. They are a cloud service provider. And what they do is their customers are able to go in and change their quality of service. So they go into that service portal and they say, okay, I'm paying for gold and I want platinum and they'll go in. They know that they've got a certain time where they need more IO capacity. So they'll go in, they'll pay the fee, increase that capability. And then when they don't need it anymore, they'll downgrade again. >> Okay, so that assumes some ability at the array level to do some sort of resource sharing and balancing to be able to go out and get, say more IO. Because again, fundamentally, if you have a virtual volume, that's drawing its resources from five storage devices, whether those are SSD based or NVMe or spinning disc that represents a finite it amount of resource. The assumption is if you're saying that the array is the pool that you need to worry about, that assumes the array has the ability to go beyond here, based on a policy. >> So that's how it works. It does... >> Well, essentially. I mean, you can't outrun physics. So if the array can't go faster, but the idea is that you understand the performance profile of your array and then you create your service tiers appropriately. >> Okay. >> Yeah. And one of the big benefits is like Chance was saying, if you want to change a profile that used to be a Storage vMotion to a different data store. Now it's just a policy change. The storage admin doesn't have to do anything. The VI admin just changes the policy. And then the array understands, oh, I now need to treat that different. And that's exactly what Chance was talking about in that cloud provider situation, where today I'm using a 100,000 IOPS. I need to use 200,000 tomorrow for special, whatever it is, but I only need to use it for tomorrow. So they don't have to move anything. They just change the policy for that time. And then they change it back. They don't have to do anything on the array itself. They don't have to change anything physically on the VM. It's just a policy change. And that's really where you get that dynamic control of the storage capability. >> So as business dynamics are changing and I'm thinking of like black Friday or Prime day, being able to dial things up and dial it down, they have the ability to do that with a policy. >> Yes. >> Exactly. >> So huge time savings there. >> Oh, it's huge. Yeah. >> Yeah. >> And it simplifies because now, I don't have to have multiple data stores. You can have one data store, all your VMs in there. You can limit test and dev and you can maximize business critical applications. Again, all via policy. So you've simplified your infrastructure. You've gone to more of a programmatic approach of managing your storage capabilities. But you're now managing at the VM level. >> So we mentioned that the cloud chaos (indistinct) that was mentioned this morning during the Keynote and we're saying a lot of customers are still in this cloud chaos phase. They want to get to Cloud Smart. How is this going to be one of those tools that helps customers pull the levers, dial the knobs, to be able to get to eventually, Cloud Smart. >> I could go on for this for hours. (Lisa Laughs) (Chance chuckles) This is really what simplifies storage. Because typically when you use traditional storage, you're going to have to figure out that this data store has this capability or another example, as you mentioned was Tanzu. If you're managing persistent volumes and you're not using something like vVols, if you want to get a certain storage capability, you have to either tag it or you have to create that data store with that capability. All of that goes away when you use vVols. So now that chaos of multiple data stores, multiple lines or multiple volumes, all that stuff goes away. So now you're simplifying your infrastructure, you have a programmatic approach to managing your storage and you can use it for all of your different types of workloads. So cloud, Kubernetes, persistent volumes, all that type of stuff. And again, all being managed via a simple and again, programmatic approach. So you could automate this. You know today, like you said, black Friday. Okay, Black, Friday's coming up. I want to change the policy. You could automate that. So you don't even have to go in and physically make the change of the policy now. You just say on Fridays, change it to this policy on Sunday night, change it back. >> Yep. >> Again, that's not something you can do with traditional storage. >> Okay. >> And I think from a simplification standpoint as well, you know, I was telling you about that other customer a couple days ago, they were running into the inability to grow beyond the bounds of VMFS file systems for very, very large VMs. And so what I talked to them about was look, if you go to vVols, you're not bound by file systems anymore. You have the capacity of the array and you can have VM discs up to 62 terabytes, you know, as many as you want. And it doesn't matter what they fit in because we can fit them all. So it's, to be able to, and that's some of our largest customers, the reason they go with vVols is to be able to grow beyond the bounds of traditional storage, anything like path limits, you know. That's something you have to contend with. >> Path limits, line limits, all that stuff. Typically just disappears with vVols. >> All those limits go away. Guys- >> They go away. >> Amazing. Congratulations on the work that you guys have done. Thank you so much for joining us on theCUBE talking about the value in it for customers and obviously the technical depths of the NetApp, VMware relationship. Guys, we appreciate your time. >> Yeah, thanks for having us on. >> Our pleasure. For my guests and Dave Nicholson. I'm Lisa Martin. You're watching theCUBE live from VMware Explorer 2022, Dave and I will be right back with our next guest. So stick around. (upbeat music)

Published Date : Aug 31 2022

SUMMARY :

We're going to have another It's very nice. 7,000 to 10,000 people here, get that one on one that face to face. about the depth of the partnership. of the stuff we're doing the storage admin to say, to add to that is you can that are just impossible to expose So that helps the storage admin. and the intelligence of a storage array the idea of, hey, you know what, 6.0 it was so it's So yeah, but it's been a decade or so. What's the latest there in terms of, in one of the things that the fabric, to the array, So target market joint is to see that vVols are to vSAN when we start talking when now you have the that vVols gives you as So Chance talk to us is the array going to benefits in it for the folks So it just, it gives you the ability So what are you doing? the latency, you know, and how it's supposed to be I spoke to a customer just the other day. the ability to go beyond here, So that's how it works. So if the array can't go So they don't have to move anything. they have the ability to Oh, it's huge. and you can maximize business How is this going to be one of those tools All of that goes away when you use vVols. Again, that's not something you can do to 62 terabytes, you know, limits, all that stuff. All those limits go away. that you guys have done. Dave and I will be right

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Day 2 Intro


 

(upbeat electronic music) >> Okay thanks, Adam, and the studio. We're here on the floor in Cloud City, right in the middle of all the action, the keynotes are going on in the background. It's a packed house. I'm John Furrier. Dave Vellante's on assignment, digging in, getting those stories. He'll have the analysis, he'll be back on theCUBE, but I want to welcome Chloe Richardson, who has been holding down the main stage here in Cloud City with amazing content that she's been hosting. Chloe, great to see you. Thanks for coming on theCUBE, and kicking it off day two with me. >> No, not at all. Thank you for having me! It's very exciting! I love what you guys have got over here, very fun! >> We're inside theCUBE. This is where all the action is, and also, Cloud City is really changing the game. If you look at what's going on here in Cloud City, it's pretty spectacular. >> No, I mean, the atmosphere is absolutely palpable. Isn't it? You can just feel it. People walk in and see what the future looks like for the telecoms industry. Very exciting. >> And you've been doing a great job on the main stage, we're really loving your content. Let's get into some of the content here. After the keynotes are going on, we're going to have DR maybe fly by the set later, we're going to check that out. But let's check out this videotape. This is TelcoDR. You got to check out this reel, and we'll be right back, and we'll talk about it. (smooth electronic music) >> TelcoDR burst onto the global telecom scene this year, making headlines for taking over the huge Erickson space at MWC 21, and for building Cloud City in just a hundred days. But why did the company go to such trouble? And what is their unique offering to the telecoms industry? And what drives their dynamic CEO, Danielle Royston, or DR, as everyone calls her? Cloud City Live caught up with DR, away from the hustle and bustle of the city to find out. (upbeat instrumental music) >> Hi, I'm Danielle Royston, coming to you from beautiful Barcelona! I'm here for MWC 21. About a hundred days ago, I decided to take over the iconic Erickson booth to turn it into Cloud City. Cloud City has over 30 vendors, and 70 demos, to introduce telco to what I think is the future for our industry. We're going to have three awesome experiences. We're going to talk about the new subscriber experience. We're going to talk about what's in store for the new network, and the future of work. And I'm really excited to create a community, and invite awesome telco executives to see this new feature. It's been a really tough 18 months, and we didn't know what MWC 21 was going to be like in terms of attendance. And so from the get-go, we planned this amazing experience that we call Cloud City Live. At Cloud City Live, we have two main components. We have the speaker series, where we have over 50 speakers from Amazon, Google, Microsoft, as well as CSPs, and awesome vendors, talking about the public cloud in telco. The second part of Cloud City Live is theCUBE. Think of this as like an ESPN desk of awesome tech interviews focused on telco and the public cloud, hosted by John furrier and Dave Vallente. Dave and John are going to talk to a variety of guests focused on telco in the public cloud. It's a great way for our virtual participants to feel like they're at the show, experiencing what's going on here. So excited to have them as part of the Cloud City booth. There's a ton of innovation going on in telco, and 20 years ago, Elon Musk set on his mission to Mars. I, like Elon Musk, am on a quest to take telco to the public cloud. Every year at MWC, there's always a flurry of announcements, and this year is no different. At this year's MWC, Totogi, a startup that I invested $1,000,000 in, will be launching. Totogi is introducing two products to the market this week at MWC. The first is at planetary scale charger. More than a charger, it's an engagement, coupling your network data with charging information to drive subscriber engagement, and doubling your ARPU. The second product that Totogi is introducing is a planetary scale BSS system, built on top of the TM Forum Open APIs. Both of these products will be available for viewing in the virtual booth, as well as on the show floor. The public cloud is an unstoppable mega trend that's coming to telco! I'm super excited to bring to you the vendors, the products, the demonstrations, and the speakers, both to people here in Barcelona, and virtually around the world! (upbeat instrumental music) Well, that was a fascinating insight into the origins of TelcoDR, why public cloud is going to truly disrupt the telecoms industry, and why DR herself is so passionate about it. If you'd like to find out more, come and see us at Cloud City. (groovy electronic music) >> Okay, thanks. Just rolling that reel. Chloe, I mean, look at that reel, I mean, DR, Danielle Royston, she's a star. And I've seen a lot of power players in the industry. She's got guts and determination, and she's got a vision, and she's not just, you know, making noise about telco and cloud, there's actually a lot of real good vision there! I mean, it's just so impressive. >> No, it really is. And for me, it's almost like the next moonshot. It's the moonshot of the telco world! She's innovative, she's exciting. And if we've learned anything over the last 18 months, it's that we need that in this industry, to grow for the future of the industry. So, so exciting. I think she's a real inspiration! >> And I love the fact that she's so takes the tiger by the tail. Because the telco industry is being disrupted, she's just driving the bus here. And I remember, I did a story on Teresa Carlson, who was with Amazon Web Services, she was running the public sector, and she was doing the same exact thing in that public sector world in DC, and around the world. She opened up regions in Bahrain, which as a woman, that was an amazing accomplishment. And she wasn't just a woman, she was just a power player! And she was an exceptional leader. I see DR doing the same thing, and people aren't going to like that, I'll tell you right now. People are going to be like, "Whoa, what's going on here?" >> Now of course, it's always that way we pioneers though, isn't it? At the time, people thinking what is going on here, we don't like change, why are being shaken up? But actually, afterwards, in retrospect, they think, "Oh, okay. I see why that happened, and we needed it." So, really exciting stuff. >> Making things happen, that's what we're doing here on theCUBE. Obviously, the main stage's doing a great job. Let's go check out this highlight reel. If you're watching and you missed some of the action, this is obviously the physical event back since 2019 in February, but there's also a hybrid event, a lot of virtual action going on. So, you got theCUBE Virtual, you got a lot of content on virtual sites. But in person here, we're going to go show you a highlight reel from what we did yesterday, and what was happening around the show. Enjoy this quick highlight reel from yesterday. (groovy electronic music) (cheerful instrumental music) (groovy electronic music) Okay. We're back here in theCUBE. We're on the main floor out here with Chloe, who is emceeing, hosting, and driving the content on the Cloud City main stage. Chloe, it's been great here. I mean so far, day one, I was watching your presentations and fireside chats you've been hosting. Awesome content. I mean, people are like jazzed up. >> Yeah, no, for sure. We had Scott Brighton on yesterday, who was our opening keynote on the live stage, and his session was all about the future of work, which is so relevant and so pertinent to now. And he talked about the way it's changing. And in 10 years, it's going to be a trillion dollar industry to be in the cloud at work. So, really interesting! I mean, yeah, the atmosphere here is great. Everyone's excited. It's new content everyday. And that's the thing, it's not stale content! It's stuff that people want to hear. People are here for the new hot trends, the new hot topics. It's very exciting. >> Yeah, the next big thing. And also it's a fiscal event, so since 2019, this Mobile World Congress has been a massive event, and hasn't happened since February, 2019. That's a lot of time that's elapsed in the industry because of COVID, and people are glad to be here. But a lot of stuff's changed! >> Yeah. It's a different world, right? I mean, two years in the telco industry is like a hundred years elsewhere. Everything has changed! Digital transformation migration, obviously cloud, which is what we're talking about over here at Cloud City Live. I'm wondering though, John, I'd like to pick your brains on something. >> John: Sure. >> It has changed in the last two years. We know that! But what about the future of Mobile World Congress? How do you see it changing in the next few years. >> Oh, man. That's a great question. I mean, my observation, I've been coming to the show for a very long time, over a decade and a half, and it's been a nerdy show about networks, and telecom, which is basically radios, and wireless, and then mobile. But it's very global, a lot of networks. But now it's evolving! And many people are saying, and we were talking on theCUBE yesterday, Dave Vellante was commenting, that this show is turning into a consumer like show. So CES is the big consumer electronics show in the US, in Las Vegas every year. This show has got a vibe, because of all the technology from the cloud players, and from the chips, getting smaller, faster, cheaper, more capability, lower power. So people look at the chips, the hardware. It's less about the speeds and feeds, it's more about the consumer experience. We got cars. I was talking to a guy yesterday, he said, "Vehicle e-commerce is coming." I went, "What the hell his vehicle e-commerce?" And you could be on your app driving down the freeway and go, "Hey, I want some food." Instead of having it delivered to you, you order it, you pick it up. So that's kind of what can be happening now in real time, you can do all kinds of other things. So, a lot of new things are happening. >> Yeah, I think so. Do you see that as another disruption for the industry? That is, the fact that it's moving to be more consumer focused? Is there anything we should be worried about in that space? >> Well, I think the incumbents are going to lose their positions. So I think in any new shift, new brands come in out of nowhere. And it's the people that you don't think about. It's the the company that you don't see. (audience in background applauding) And we got DR on the main stage right here, look at this! We saw her walk out with the confidence of a pro. >> Chloe: Yeah, for sure. >> She just walked out there, and she's not afraid. >> Well, as she said in her video, she is ready to wake them up! And you can see as soon as she walks out, that is what she intends to do today. >> I love her mojo. She's got a lot of energy. And back to the show, I mean, she's just an example of what I was saying. Like in every market shift, a new brand emerges. >> Chloe: Yep. >> I mean, even when Apple was tainted, they were about to shut down, they were going to run out of cash, when Steve Jobs brought back Apple, he consolidated and rebooted the company, the iPad was a seminal, iPod, a seminal moment. Then the iPhone, and just, the rest is history. That kind of disruption is coming. You're going to see that now. >> Oh, it's exciting though, isn't it? To be future ready, rather than future proof! But actually I wanted to ask you something as well, because we are seeing all these cloud players getting hot under the collar about telco. Why are they so excited? What's the buzz about wire, as you're on AWS and Google Cloud, why do they want to have a slice of the pie? >> Well, I think they're hot and heavy on the fact that telco is a ripe opportunity. And it used to be this boring, slow moving glacier. It's almost like global warming now, the icebergs are melting, and it's going to just change. And because of the edge, 5G is not a consumer wireless thing, it's not like a better phone. It's a commercial app opportunity, because it's high bandwidth. We've all been to concerts, or football games, or sporting events where a stadium is packed. Everyone gets bars on their wifi, but can't get out. Can't upload their picture to Instagram. Why? Because it's choking them on the network. That's where 5G solves a problem. It brings a lot of bandwidth, and that's going to bring the edge to life, and that's money. So when you got money, and greed, and power, changing hands, if it's on the table, and the wheel's spinning, it could be double zero, or it could be lucky seven. You don't know! >> Oh, for sure. And that's certainly enough to get all the big players hot and bothered about getting involved! And I suppose it circles back to the fact that DR is really leading the charge, and they're probably thinking, "Okay, what's going on here? This is different. We want something new." You did notice it, OpenRAN is something that we've been talking about over the last day or so. We've had quite a few of us speakers over here at Cloud City Live mention OpenRAN. What is it all about, Don? Because why all the buzz if 5G is such a hot topic? Why are we get excited about it? >> That's a great thing. The 5G certainly will drive the main trend, for sure. OpenRAN is essentially an answer to the fact that 5G is popular, and they need more infrastructure. So open source, the Linux Foundation, has been the driver for most of the open source software. So, they're trying to make open software, and open architectures, to create more entrepreneurial activity around hardware, and around infrastructure, because we need more infrastructure, we need more antennas, we need more transceivers, we need more devices. That could be open. So in order to do that, you got to open up the technology, and you want to minimize the licensing, and minimize a lot of these, you know, proprietary aspects. >> What did we look at? So on Wednesday, we've got a great keynote from Phillip Langlois, who is CEO and founder of P1 Security. And he's coming to talk to us about cybersecurity within the cloud, and within telco. So you just mentioned that OpenRAN is all about having open source, about having that space where we can share more efficiently and easily more easily. What does that mean for security though? Is it at risk? >> I think it's going to increase the value of security, and minimize the threats. Because open source, even though it's open, the more people that are working on it, the more secure it could be. So yes, it could be more open in a sense that could be explored by hackers, but open can also protect. And I think we've seen open source, and cloud in particular, be more secure. Because everyone said, cloud is not secure, open source is insecure. And as it turns out, when the collective hive minds of developers work on things, it gets secure. >> And it is interesting, isn't it? Because we have seen that there has been an uptick in cyber security threats, but actually I was speaking to some leaders across various industries, and particularly in tech, and they were saying, actually, there's not been an uptick in attempted threats, there's been an uptick because with this open-source environment, we are able to track them, and measure them, and defend more efficiently. So actually, they're being batted away. But the number is probably the same as it always was, we just didn't know about them before we had this open source environment. >> There's more money in threats, and there's more surface area. So as the tide rises, so to the threats. So on a net basis, it's more, because there's more volume, but it's pretty much the same. And look it, there's money involved, they are organized. There's a business model on attacking and getting the cash out of your bank, or ransomware is at an all time high. >> Yes! >> So this is like a big problem, and it's beyond the government. It's around individual freedom. So, security is huge. And I think open source and cloud are going to be, I think, the answer to that. >> Yeah, for sure. And it's, again, about collaboration, isn't it? Which we talk about all the time, but without collaboration, the industries are going to have to work together to promote this environment. So yeah, it should be good to talk with Phillip on Wednesday. >> I'd just say on security, don't download that PDF, if you don't know who it came from. The phishing is always good. Well, we got some great stuff coming up. We're going to have a great day. We got a video here of Mobile World Live. We're going to show this next segment, and we're going to toss it to a video. And this is really about to give the experience, Chloe, for people who aren't here. To get a feel for what's going on in Barcelona, and all the action. And if you look at the video, enjoy it. >> Hi, I'm Daniel Royston, CEO and founder of TelcoDR. But you can call me DR! Ready for some more straight talk about telco? It's go time! Let's do it. Holy shit! It sure is a great time to be a tech company! I mean, if you're Amazon, Microsoft, Google, Grab, Twilio, Door Dash, or Uber, life's pretty great! Just look at these stock prices over the past five years, with their shareholder value going up and to the right. Totally amazing! But where's telco? Dare I add our stocks to this awesome chart? Let's compare these fabulous tech stocks to AT&T, Vodafone, Telefonica, TIM, America Movil, and Zain Group. Huh. Not so great, right? Yep. I'm talking directly to you, senior telco execs. I'm here to wake you up! Why is it that Wall Street doesn't see you as tech? Why aren't CSPs seen as driving all the tech change? Why is it always Apple, Amazon and Google who get the big buzz? But more importantly, why isn't it you? Before I came to this industry, I always thought of carriers as tech companies. I gave more of my money to AT&T than to Apple, because I really cared about the quality of the network. But I also wondered why on earth the carriers allowed all the other tech companies to take center stage. After spending the last few years in telco, I now understand why. It's because you are network people, you are not customer people! I get it. You have the security blanket. You're a network oligopoly. It's crazy expensive to build a network, and it's expensive to buy spectrum. It takes operational chops to run a killer network, and it takes great skill to convince Wall Street to finance all of it. You telco execs are amazing at all those things. But because you focus on the network, it means you don't focus on the customer. And so far, you haven't had to. Every Telco's KPI is to be less shitty than their next competitor. You don't have to be the best. Just don't be last. Everyone else's NPS is in the thirties too. Their mobile app ratings are just as terrible as yours. Everyone's sucks at customer sat. And it's widely acknowledged and accepted. Let's talk about the cost of that. The cost is not measured on market share against other MNOs. The cost is measured in lost ARPU that the tech guys are getting. Everyone knows about the loss of texting to WeChat, WhatsApp, and the other OTT apps. But it is not just texting. The total adjustable market, or TAM, of the mobile app disruptors is huge! Instead of remaining network focused, you should be leveraging your network into a premier position. And because you're network people, I bet you think I'm talking about coercive network leverage. That is not what I'm talking about! I'm talking about love, customer love. There is one thing the highly valued tech companies all have in common. They all crush it on customer love! They look at every interaction with the customer and say, how do we make the customer love this? Like Netflix has easy monthly cancellation, Amazon does no questions asked returns, Uber gives users a real time view into driver rating and availability. Compare those ideas to the standard telco customer interaction. The highly valued tech companies don't have the network oligopoly to fall back on like you do. To survive, they must make customers love them. So, they focus on it in a big way! And it pays off. Their NPS is close to 70, and they have app ratings of 4.5 or higher. A far cry from your thirties NPS, and app ratings of 3.5. If you want to have those huge tech multiples for yourself, you have to start thinking about these guys as your new competition, not the other telcos in your market. The crazy thing is, if you give up using your network as a crutch, and put all of your focus on the customer, the network becomes an asset worth more than all the super apps. Let's step back and talk about the value of super apps, and becoming customer centered! Retooling around the customer is a huge change, so let's make sure it's worth it. We aren't talking about 25% improvement. I'm going to show you that if you become customer centric, you can double your ARPU, double your valuation multiples, and drive big shareholder value, just like the tech companies on that chart! Now let's talk about the customer focused super apps. There are hundreds of companies in a variety of categories vying for your subscribers' disposable income. Movies, food delivery, financial services. Who are they? And why does Wall Street give them such high valuations and like them so much? Well first, look at what they are telling Wall Street about their TAM. They broadcast ridiculously huge TAMs that are greater than the telco TAMs. You know, who should have a ridiculously huge TAM? You! Hello? What I'm saying is that if you got what's yours, you double in size. And if you take the TAMs they throw around, you'd be five times as big. When I think about the opportunity to double ARPU, without having to double the cap ex to build out the network, I say to myself, hell yeah! We should totally go do it, and do whatever it takes to go get it. For example, let's talk about Grab. Grab is a Southeast Asian super app company with an expected $40 billion valuation. Grab's customer focus started in Rideshare, but then leveraged its customer love into wallet deliveries, hospitality, and investing. Their ARPU is now larger than a Telco's ARPU in countries where they compete, and they have a higher valuation than those telcos too. Imagine if you could combine a great user experience with the valuable services that helped grow your ARPU. That would be huge! So, how do you build a super app? I bet right about now, you're wishing you had a super app. Everyone wants a super app! A lot of money has been unsuccessfully spent by telcos trying to build their own. I bet you're saying to yourself, "DR, your pie in the sky sounds great, but it has no chance of success." Well, I'm betting things are about to change. There is a public cloud startup called to Totogi that is going to help carriers build world-class super apps. To have a successful super app, there is one key metric you need to know. It is the KPI that determines if your super app will be a success or a flop. It's not about the daily active users. It's not the average order value. It's not even gross merchandise value. It's all about the frequency of use per day by the user. That's the metric that matters. How many have you used that metric in your telco apps? Do you have a team driving up user app interactions every day? Most telco apps are used for top-up, or to check a bill. This is a huge missed opportunity. Super app companies excel at building great experiences and driving a huge amount of interactions. They have to, their business depends on it. They have to be customer focused. They have to keep bringing the user back to the app, every day, multiple times a day. And you know what? They do a great job. Customers love their super apps. They have great user experiences. Like Apple credit cards, no information required application process. They have high net promoter scores because of customer friendly policies. Like how Door Dash retroactively credits fees when you move to a better plan. And they have great app store ratings, because they do simple things, like remember your last order, or allow you to use the app, rather than forced you to call customer service. Customers of successful super apps love it when new services are added. And because of the customer love, every time something is added to the app, customers adopt it immediately. New services drive frequent daily user interactions. So our problem in telco is we have an app that is only open once per month, not multiple times per day. And without frequent opens, there is no super app. Hm, what do we have in telco that we could use to help with this problem? I wonder. While you don't currently have a mobile app that subscribers use multiple times a day, you have something that's 10 times better! You have a network. Subscribers already interact with your network. 10 times more frequently than any user with any of the super apps. But telcos don't leverage those interactions into the insanely valuable engagements they could be. Worse, even if you wanted to, your crappy, over customized, on-premise solutions, make it impossible. Thankfully, there's this new tech that's come around, you may have heard of it, the public cloud. When you bring the enabling technology of the public cloud, you can turn your network interactions into valuable super app interactions. And there's a special new startup that's going to help you do it, Totogi! Totogi will leverage all those network interactions, and turn them into valuable customer interactions. Let me repeat that. Totogi will leverage all those network interactions, and turn them into valuable customer interactions. Totogi allows the carrier to leverage its network, and all the network interactions, into customer engagement. This is something that super apps don't have, but will wish they did. But this magic technology is not enough. Telcos also need to move from being network focused to being customer focused. Totogi enables telcos to chase exciting revenue growth without that annoying, massive cap ex investment. Totogi is going to help you transform your sucky mobile apps, with the crappy customer ratings, into something your subscribers want to open multiple times a day, and become a platform for growth. I'm so excited about Totogi, I'm investing $100,000,000 into it. You heard me right. $100,000,000. Is this what it feels like to be SoftBank? I'm investing into Totogi because it's going to enable telcos to leverage their network interactions into super app usage! Which will lead to an improved subscriber experience, and will give you a massive jump in your ARPU. And once you do that, all those telco valuations will go from down here, (buzzes lips) to up here. And so I've been talking to some folks, you know, checking in, feeling them out, getting their thoughts. And I've been asking them, what do you think about telcos building super apps? And the response has been, "Click. Eh." Everyone says, no way. Telcos can't do it. Zero chance. Total goose egg. (egg cracking) One suggested I build a bonfire with a hundred million dollars, because then at least I wouldn't waste years of my life. Well, I think those people are dead wrong! I do believe that telcos can build super apps and make them super successful. The public cloud is changing all parts of telco, and Totogi and super apps are fundamentally changing the customer relationships. In one month at MWC, people will see what Totogi has to offer, and they will understand why I'm making this bold call. Because Totogi takes the value of the network, and the power of the public cloud, to help telcos move from being network centric, to being customer centric. Boom! If you want to make this transformation and reap all the financial benefits, you will have to compete for customers with a whole new set of players. You will no longer compete with the network focused guys, like the other telcos. Instead, you will be competing against the customer focused companies. These players don't have a network to fall back on like your old competitors, they know they have to make customers love them. Their customer loyalty is so off the charts, their customers are called fans. So if you want that big money, you will have to compete on their turf, and make the customers want to choose you. You need Apple level loyalty. That bar is uber high. We'll have to give up the security blanket of the network, and change. Instead of NPS at the thirties, it needs to be in the seventies. Instead of mobile app ratings in the threes, they need to get five stars. I'm betting big that Totogi will make that possible! I'm going to help you every step of the way, starting with my keynote next month at MWC. Join me, and I'll share the secrets to converting your super valuable network interactions to make your super app a massive success. We're going to have an amazing time, and I can't wait to see you there! >> Okay. We're back here in theCUBE here at Mobile World Congress in Cloud City. I'm John Furrier. Chloe Richardson's filling in for Dave Vellante who's out on assignment. He's out getting all the data out there and getting stories. Chloe, what a great keynote by Danielle Royston. We just heard her involving major action, major pump you up, punch in the face, "Wake the heck up cloud people, cloud is here!" She didn't pull any punches. >> No, I mean the thing is, John, there's trillions of dollars on the table, and everyone seems to be fighting for it. >> And you heard her up there, if you're not on the public cloud, you're not going to get access to that money. It's a free for all. And I think the cloud people are like, they might think they're going to walk right in, and the telco industry is going to just give it up. >> No, of course. >> And it's not going to be, it's going to be a fight! Who will win? >> Who will win, but also who will build the next big thing? (John laughing) >> Someone needs to die in the media conversations. It's always a fight. Something's dead. Something's dead but keeps the living. All that kidding aside, this is really about partnering. Think what's happened is Telco's already acknowledged that they need to change. And the 5G edge conversation, the chip acceleration. Look at Apple. They've got their own processors, Nvidia, Amazon makes their own chips, Intel's pumping stuff out, you've got Qualcomm. You've got all these new things. So, the chips are getting faster, and the software's more open source. And I'm telling you, the cloud is just going to drive that bus right down Cloud Street, and it's going to be in Cloud City everywhere. >> And it's going to be peepin' on the board as it drives down. (John laughing) John, I'm not a stalker, but I have read some of the things that you've written, and one of the things you mentioned that was really interesting was the difference between building and operating. Break it down for me, what does that mean? >> That means basically in mature markets, and growing markets, things behave differently, and certainly economics, and the people, and the makeup, and the mindset. So the telco has been kind of this mature market, it's been changing and growing, but not like radically. Cost optimization, make profit. You know, to install a lot of cable, you got to get the rents out of that infrastructure. And that's kind of gone on for too long. Cloud is a growth market. And it's about building, not just operating. And you've got operators, carriers are operating networks. So you're going to see the convergence of operators and builders coming together. Builders being software developers, new technology, and executives that think about building. And you want people on your team that are going to be, I won't say war time, you know, lieutenants or generals, but people who can handle the pace of change. Because the change and the nature is different. And some people want slow and steady, keep the boat from rocking. But in a growth market, it's turbulent, and the ride might not be quiet, first-class ticket to paradise. It's bumpy, but it's thrilling. >> No, of course. Is it similar to the old sales adage of hunter versus farmer? Are there parallels there? >> Yeah. I mean, there's a mindset. If you have a team of people that aren't knocking down new opportunities and building the next big thing, fixing your house, get your house in order, you know, refactor, reset, reboot, replatform with the cloud, and then refactor your business! If you don't have the people thinking like that, you're probably either going to be taken over, or go out of business. And that's what the telcos with all these assets, they're going to get bought, rolled into a SPAC, Special Purpose Acquisition Company, which is super hot in the United States. A lot of roll-ups going on with private equity. So a lot of these telcos, if they don't refactor, or replatform then refactor, they're going to be toast, and they're going to get rolled up, and eaten up by somebody else. >> Yeah, sure. It's interesting though, isn't it? Because when we think of telco in tech, we often think of, obviously we've got the triad, people, process, technology, and we think, process and technology really to the forefront here. But like you said there, people are also so important because if you don't have this right balance, you're not going to be able to drive that change. We had, obviously, Scott Brighton on the stage yesterday, and after his session, somebody came up to me and just said, "I'm interested to hear what that means for education." So how can we establish this new generation of tech and telco leaders from the grassroots with educational associations, establishments. How can we encourage that? I wonder, is this something that you talk about? >> Yeah. I mean, education's huge, and this highlights the change that telco's now part of. Telco used to be a boring industry that ran the networks, or moving packets around, and mobile was there. But once the iPhone came out in 2007, the life has changed, society has changed, education's changed, how people interact has changed. So, you start to see people now aware of the value. And if you look at during COVID, the internet didn't crash, the telcos actually saved our asses, and everyone survived because the network didn't break. Yeah, we had some bad Zoom meetings here and there, and some teleconferences that didn't go well, but for the most part we survived, and they really saved everybody. So, they should get kudos for that. But now they're dependent upon healthcare, education. People care about that stuff, so now you're going to start to see an elevated focus on what telecom is doing. That's why the edge has got trillions of dollars up for grabs. But education, there's negative unemployment in cybersecurity and in cloud. So for the people who say, "Oh, there's no jobs." Or, "I can't work." That's a bunch of BS, because you can just get online, get on YouTube, and just get a degree. You can get a degree. You can get an Amazon job. It pays a hundred thousand dollars a year! American. You can make a hundred thousand pounds, and be unemployed six months, and then be employed. So negative unemployment means, there's more jobs than people to fill them all, in fact. >> Yeah, it's interesting you mentioned that, because I was talking to a cyber security leader who was saying in something, I think there were now 3 million vacancies in cybersecurity. And there's such a skill shortage. There is nobody around to fill it! So it's an interesting problem to have, isn't it? Because it's reversed to what we've been used to for the last few decades! And obviously, telco is in the same space. But what can we do about it do you think, to actually -- >> I think it's going to take leadership, and I'm a big proponent of kids not going to university if they don't have to. Why spend the dough, money, if you don't have to? You can get online. I mean, the data's there. But to me, it's the relationships, the mentorship. You're starting to see a women in tech, and underrepresented minorities in the tech field, where mentorship is more important than curriculum. Community is more important than just going through a linear courseware. Nobody wants to sit online and go through linear courseware. Now, if they have to get a certificate, or degree, and accreditation, no problem. But the communities are out there, so that's a big change over, I'm a big fan of that. And I think people should, you know, get some specialized skills. You can get that online, so why even go to school? So, people are figuring that out. >> For sure. And also, even transferring. I mean, so many skills are transferable nowadays, aren't they, so we could easily be talking to people from other industries, and bringing them into telco, and saying, "Look, bring what you know from your retail background, or your healthcare background, and help us at telco to, again, drive forwards." Just like DR was saying, it's all about the next big thing. >> Well, Danielle is always also driving a lot of change. And if you think about the jobs, and the pedigree of going to a university, oh, Harvard, all the big Ivy Leagues, Oxford in your area. So it's like, if you go to the school like that, and you get a pedigree, you instantly get a job. Now the jobs that are available weren't around five years ago, so there's no like pedigree or track record. There's no like, everyone's equal. >> Yeah. >> So you could, the democratization of the internet now, from a job standpoint, is people are leveling up faster. So it's not about the Ivy League, or the big degree, or silver spoon in your mouth, you've got the entitlement. So you start to see people emerging and making things happen. Entrepreneurship in America, immigrant entrepreneurship. People are billionaires that have no high school diplomas! >> It's interesting you mention that, John, because we can't have more than five years experience in this space, we know that. But in telco, there is a problem. And maybe it's, again, it's a flipped problem where telco recruiters, or talent acquisition leaders, are now asking for kind of 10, 20 years experience when they're sending out job descriptions. So does that mean that we are at fault for not being able to fill all these vacancies? >> I think that's just, I mean I think there's a transition of the new skill set happening, one. But two, I think, you know, to be like a chip engineer, (laughs) you can't learn that online. But if you want to run a cloud infrastructure, you can. But I think embedded systems is an area that I was talking to an engineer, there's a huge shortage of engineers who code on the microprocessors, on the chips. So, embedded systems is a big career. So there's definitely paths you can specialize. Space is another area you've seen a lot of activity on. You see Jeff Bezos and Elon Musk is going to be here on a virtual keynote, trying to go to Mars. And you know, Danielle Royston always says, "What's going to happen first, Mars colony, or telco adopting public cloud?" And some people think Mars will happen first, but. >> What do you think, John? >> I think Telco's going to get cloud. I mean first of all, public cloud is now hybrid cloud, and the edge, this whole internet edge, 5G, is so symbolic and so important, because it's an architectural beachhead. And that's where the trillion dollar baby is. So, the inside baseball, and the inside money, and all the investors are focusing on the edge, because whoever can command the edge, wins all the dollars. So everyone kind of knows, it's a public secret, and it's fun to watch everyone jockey for the positions. >> Yeah no, it really is. But it's also quite funny, isn't it? Because the edge is almost where we were decades ago, but we're putting the control back in the hands of consumers. So, it's an interesting flip. And I wonder if, with the edge, we can really enhance this acceleration of product development, this efficiency, this frictionless system in which we live in. And also, I've heard you say hybrid a few times, John. >> John: Yeah. >> Is hybrid going to be the future of the world no matter what industry you're in? >> Hybrid is everything now. So, we're the hybrid CUBE, we've got hybrid cloud. >> Exactly. >> You got hybrid telco, because now you've got the confluence of online and offline coming together. That is critical dynamic! And you're seeing it. Like virtual reality, for instance, now you're seeing things, I know you guys are doing some great work at your company around creating experiences that are virtual. You got, companies like Roblox went public recently. Metaverse. It's a good time to be in that business, because experiential human relations are coming. So, I think that's going to be powered by 5G. You know, gamers. So, all good stuff. Chloe, great to be with you here on theCUBE, and we're looking forward to seeing your main stage. >> Great. >> And then we're going to send it back to the studio, Adam, and the team. We're waiting for DR to arrive here in Cloud City. And this is theCUBE, from Cloud City, back to you, Adam, and the studio.

Published Date : Jul 3 2021

SUMMARY :

We're here on the floor in Cloud City, I love what you guys have really changing the game. No, I mean, the atmosphere great job on the main stage, and bustle of the city And so from the get-go, we and she's not just, you know, It's the moonshot of the telco world! And I love the fact that she's so At the time, people thinking and driving the content on And that's the thing, and people are glad to be here. I'd like to pick your brains on something. It has changed in the and from the chips, That is, the fact that it's moving It's the the company that you don't see. She just walked out And you can see as soon as she walks out, And back to the show, I mean, the iPad was a seminal, have a slice of the pie? bring the edge to life, over the last day or so. and minimize a lot of these, you know, And he's coming to talk and minimize the threats. But the number is probably So as the tide rises, so to the threats. and it's beyond the government. the industries are going and all the action. And because of the customer love, "Wake the heck up cloud and everyone seems to be fighting for it. and the telco industry is the cloud is just going to drive that bus and one of the things you mentioned and the makeup, and the mindset. Is it similar to the old sales adage and building the next big Brighton on the stage yesterday, but for the most part we survived, And obviously, telco is in the same space. And I think people should, you know, all about the next big thing. and the pedigree of going to a university, So it's not about the Ivy for not being able to of the new skill set happening, and the edge, this back in the hands of consumers. Hybrid is everything now. It's a good time to be in that business, Adam, and the team.

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Day 2 Kickoff with Chloe Richardson | Cloud City Live 2021


 

(upbeat music) >> Okay, thanks Adam in the studio. We're here on the floor in Cloud City, right in the middle of all the action. The keynotes are going on in the background, it's a packed house. I'm John Furrier. Dave Vellante is on assignment, digging in, getting those stories. He'll have the analysis, he'll be back on theCUBE but I want to welcome Chloe Richardson, who has been holding down the main stage here in Cloud City, with amazing content that she's been hosting. Chloe, great to see you. Thanks for coming on theCUBE and kicking it up day two with me. >> No, not at all. Thank you for having me. It's very exciting. I love what you guys have got over here, very fun. >> We're inside theCUBE. This is where all the action is. And also the Cloud City is really changing the game. If you look at what's going on here in Cloud City, it's pretty spectacular. >> Know, I mean the atmosphere is absolutely palpable, isn't it? You can just feel as people walk in and see what the future looks like to the Telecoms industry, it's very exciting. >> And you've been doing a great job on the main stage. We've been really loving your content. Let's get into some of the content here. Actually the keynote is going on, we're going to have DR, maybe fly by the set later, we're going to check that up. But let's check out this videotape of, this is TelcoDR. You got to check out this reel and we'll be right back, we'll talk about it. (upbeat music) >> TelcoDR burst onto the global telecom scene this year, making headlines for taking over the huge Erickson's space at MWC21. And for building Cloud City in just a hundred days. But why did the company go to such trouble? And what is the unique offering to the telecoms industry? And what drives their dynamic CEO, Danielle Royston or DR as everyone calls her? Cloud City Live caught up with DR, away from the hustle and bustle of the city to find out. (upbeat music) >> Hi, I'm Danielle Royston, coming to you from beautiful Barcelona. I'm here for MWC21. About a hundred days ago, I decided to take over the iconic Erickson booth to turn it into Cloud City. Cloud City has over 30 vendors and 70 demos to introduce telco to what I think is the future for our industry. We're going to have three awesome experiences. We're going to talk about the new subscriber experience, we're going to talk about what's in store for the new network and the future of work. I'm really excited to create a community and invite awesome telco executives to see this new future. It's been a really tough 18 months, and we didn't know what MWC21 was going to be like in terms of attendance. And so from the get go we plan this amazing experience that we call, Cloud City Live. At Cloud City Live, we have two main components. We have the speaker series where we have over 50 speakers from Amazon, Google, Microsoft, as well as CSPs and awesome vendors talking about the public cloud in telco. The second part of Cloud City Live, is theCUBE. Think of this as like an ESPN desk of awesome tech interviews focused on telco and the public cloud hosted by John Furrier and Dave Vellante. Dave and John are going to talk to a variety of guests, focused on telco and the public cloud. It's a great way for our virtual participants to feel like they're at the show, experiencing what's going on here. So excited to have them as part of the Cloud City booth. There's a ton of innovation going on in telco. And 20 years ago, Elon Musk set on his mission to Mars. I, like Elon Musk, I'm on a quest to take telco to the public cloud. Every year at MWC, there's always a flurry of announcements and this year is no different. At this year's MWC, Totogi, a startup that I invested a hundred million dollars in, will be launching. Totogi is introducing two products to the market, this week at MWC. The first is a planetary scale charger. More than a charger, it's an engagement coupling dual network data with charging information to drive subscriber engagement and doubling your ARPU. The second product that Totogi is introducing, is a planetary scale BSS system built on top of the TM forum, open APIs. Both of these products will be available for viewing in the virtual booth, as well as on the show for. The public cloud is an unstoppable mega trend that's coming to telco. I'm super excited to bring to you, the vendors, the products, the demonstrations, and the speakers, both to people here in Barcelona and virtually around the world. (upbeat music) >> Well, that was a fascinating insight into the origins of TelcoDR, why public cloud is going to truly disrupt the telecoms industry and why DR herself is so passionate about it. If you'd like to find out more, come and see us at Cloud City. (upbeat music) >> Okay, thanks. Just roll on that reel. Chloe, I mean, look at that reel. I mean, DR, Danielle Royston, she's a star and I've seen a lot of power players in the industry. She's got guts and determination, and she's got a vision and she's not just, you know, making noise about telco and cloud, there's actually a lot of real good vision there. I mean, it's just so impressive. >> No, really isn't. And for me, it's almost like the next moonshot. It's the moonshot of the telco world. She's innovative, she's exciting and if we've learned anything over the last 18 months is that we need to in this industry to grow and for the future of the industry. So, it's so exciting. I think she's a real inspiration. >> And I love the fact that she's so, takes a tiger by the tail, because the telco industry is being disrupted. She's just driving the bus here and I remember I did a story on Teresa Carlson, who was with Amazon web services, she was running the public sector and she was doing the same exact thing in that public sector world in DC and around the world. She opened up regions in Bahrain, which as a woman, that was an amazing accomplishment. And she wasn't just a woman, she was just a power player. And she was exceptional leader. I see DR doing the same thing and people aren't going to like that, I'll tell you right now. People are going to be like, whoa, what's going on here? >> And of course, it's always the way we pioneers though, isn't it? At the time people thinking what's going, we don't like change, why are we being shaken up. But actually afterwards, in retrospect, they think, oh, okay, I see why that happened and we needed it. So really exciting stuff. >> Making things happen, that's what we're doing here in theCUBE. Obviously the main stage's doing a great job. Let's go check out this highlight reel. If you're watching and you miss some of the action, this is, I'll see the physical event back since 2019 in February, but there's also a Hybrid event. A lot of virtual action going on. So you got theCUBE virtual, you got a lot of content on virtual sites, but in person here, we're going to go show you a highlight reel from what we did yesterday, what was happening around the show? Enjoy this quick highlight reel from yesterday. (upbeat music) (upbeat music) (upbeat music) Okay. We're back here in theCUBE. We're the main floor out here with Chloe Richardson, who is emceeing, hosting and driving the content on the Cloud City main stage. Chloe, it's been great here. I mean, so far day one, I was watching your presentations and inspire site chats you've been hosting. Awesome content. I mean, people are like jazzed up. >> Yeah, I know for sure. We had Scott Brighton on yesterday, who was our opening keynote on the live stage. And his session was all about the future of work, which is so relevant and so pertinent to now. And he talked about the way it's changing and in 10 years it's going to be a trillion dollar industry to be in the cloud at work. So really interesting. I mean, yeah, the atmosphere here is great, everyone's excited, there's new content everyday. And that's the thing, it's not stale content. It's stuff that people want to hear. People are here for the new hot trends, the new hot topics. Really exciting. >> Yeah, the next big thing. And also it's a fiscal event. So since 2019, this Mobile World Congress has been a massive event and hasn't happened since February, 2019. That's a lot of time that's elapsed in the industry cause of COVID and people are glad to be here, but a lot of stuff's changed. >> Yeah, it's a different world, right? I mean, two years in the telco industry is like a hundred years elsewhere. Everything has changed, digital transformation migration, obviously cloud, which is what we're talking about over here at Cloud City Live. I'm wondering though John, I'd like to pick your brains on something. >> Sure. >> It has changed in the last two years, we know that, but what about the future of Mobile World Congress? How do you see it changing in the next few years? >> Oh man, that's a great question. I mean, my observation, I've been coming to the show for a very long time, over a decade and a half, and it's been a nerdy show about networks and telecom, which is basically radios and wireless and then mobile. It's very global, a lot of networks, but now it's evolving and many people are saying, and we were talking on theCUBE yesterday, Dave Vellante was commenting that this show is turning into a consumer like show. So CES is the big consumer electronics show in the US, in Las Vegas every year. This show has got a vibe because what's all the technology from the cloud players and from the chips, are getting smaller, faster, cheaper, more capability, lower power. So if you look at the chips, the hardware, it's less about the speeds and feeds. It's more about the consumer experience. You got cars. I was talking to a guy yesterday, he said, "Vehicle e-commerce is coming." I'm like, "What the hell his vehicle e-commerce?" And you could be on your app, driving down the freeway and go, "Hey, I want some food." Instead of having it delivered to you, if you order it you pick it up. So that's kind of can be happening now in real time, you can do all kinds of other things. so a lot of new things are happening. >> Yeah, I think so. Do you see that as another disruption for the industry that is the fact that it's moving to be more consumer focused? Is that anything we should be worried about in that space? >> Well I think the incumbents are going to lose their position. So I think in any new shift, new brands come in out of nowhere. >> For sure. >> And it's the people that you don't think about. It's the company that's not, that you don't see. And we got DR on the main stage right here, look at this. You saw her walk out with the confidence of a pro. She just walked out there and she's not afraid. >> No. Well, as she said in her video, she is ready to wake them up and you can see as soon as she worked out. That is what she intends to do. >> I love her mojo, she's got a lot of energy. And back to the show, I mean, she's just an example of what I was saying. Like in every market shift, a new brand emerges. >> Yep. >> I mean, even when apple was tainted, they were about to shut down, they were going to run out of cash. When Steve Jobs brought back apple, he consolidated and rebooted the company. The iPad was a similar moment, then the iPhone and just the rest is history. That kind of disruption's coming. You're going to see that here. >> Yeah. Oh, it's exciting though isn't it? To be future ready rather than future proof but actually I wanted to ask you something as well, because we are seeing all these cloud players getting hot under the collar about telco. Why are they so excited? What's the buzz about why, as you're in MWS and Google Cloud? Why do they want to have a slice of the pie? >> Well, I think they're hot, hot and heavy on the fact that telco is a ripe opportunity and it used to be this boring, slow moving glacier. >> Okay. >> It's almost like global warming now. The icebergs are melting and it's going to just change and because of the edge, 5G is not a consumer wireless thing. It's not like a better phone, it's a commercial app opportunity cause it's high bandwidth. We've all been to concerts or football games or sporting events where a stadium is packed. Everyone gets bars on their wifi, but can't get out, can't upload their pictures on Instagram. Why? Because it's choking them in the network. That's where 5G solves the problem. It brings a lot of bandwidth and that's going to bring the edge to life and that's money. So when you got money and greed and power changing hands, it's every, it's on the table and the wheel's spinning, and it could be double zero, or it could be lucky seven. You don't know. >> Yeah, for sure. And that's certainly enough to get all the big players hot and bothered about getting involved. And I suppose it circles back to the fact that, DR is really leading the charge and they're probably thinking, okay, what's going on here? This is different, we want something new. You didn't know it's an open run or something that we've been talking about over the last day or so. We've had quite a few of us speakers over here constantly. I've mentioned open run. What is it all about John? Because why all the bars, if 5G is such a hot topic? Why are we getting excited about it? >> That's a great thing. 5G certainly is Google Drive the main trend for sure. OpenRent is essentially an answer to the fact that 5G is popular and they need more infrastructure. So open source, the Linux Foundation has been the driver for most of the open source software. So they're trying to bring software and open architectures to create more entrepreneurial activity around hardware and around infrastructure because we need more infrastructure. We need more antennas, we need more transceivers, we need more devices that could be open. So in order to do that, you got to open up the technology and you want to minimize the licensing and minimize a lot of these, you know, proprietary aspects. >> What if we look at, so on Wednesday, we've got a great keynote from Philippe Langlois, who is CEO and founder of P1 Security. And he's coming to talk to us about cybersecurity within the cloud and within telco. So you just mentioned that. Open mind, it's all about having open source, about having that space where we can share more efficiently and easy, more easily. What does that mean for security though? Is it a risk? >> I think that's going to increase the value of security and minimize the threats. Because open source, even though it's open, the more people that are working on it, the more secure it could be. So yes, it could be more open in sense that could be explored by hackers, but it can be open to also protect. And I think we've seen open source and cloud in particular be more secure because everyone said, "Cloud is not secure, open source is not secure." And as it turns out when the collective hive minds of developers work on things, it gets secure. >> And it is interesting, isn't it? Because we have seen that there has been an uptick in cyber security and threats. But actually I was speaking to some leaders in across various industries and particularly in tech. And they were saying, "Actually there's not been an uptick in attempted threats, there's been an uptick because with this open source environment. We are able to track them and measure them and defend more efficiently. So actually they're being battered away, but the number is probably the same as it always was. We just didn't know about them before we had this open source environment. >> There's more money in threats and there's more surface area. So as the tide rises, so do the threats. So on a net basis it's more because there's more volume, but it's pretty much the same. And look at it, there's money involved, they're organized, there's a business model on attacking and getting the cash out of your bank or ransomwares at an all time high. So this is like a big problem and it's beyond the government, it's our individual freedom. So security its huge and I think open source and cloud are going to be, I think the answer to that. >> Yeah, for sure. And it's again about collaboration, isn't it? Which we talk about all the time but without collaboration that the industries aren't going to have to work together to promote this environment. So yeah, it should be good to talk with Phillip on Wednesday. >> I just say in security, don't download that PDF if you don't know who came from. The fishing is always good. Well, we got some great stuff coming up. We're going to have a great day. We got a video here on Mobile World Live, we're going to show this next segment and we're going to toss it to a video. And this is really about to give the experience Chloe, for people who aren't here, right? >> Yeah. >> To get a feel for what's going on in Barcelona and all the actions. And if you look at the video, enjoy it. >> Hi, I'm Danielle Royston, CEO and founder of TelcoDr, but you can call me DR. Ready for some more straight talk about telco? It's go time, let's do it. Holy shit. It sure is a great time to be a tech company. I mean, if you're Amazon, Microsoft, Google, Grab, Twilio, DoorDash or Uber, life's pretty great. Just look at these stock prices over the past five years with their shareholder value going up into the right. Totally amazing. But where's telco? There I add our stocks to this awesome chart. Let's compare these fabulous tech stocks to AT&T, Vodafone, Telefonica, Tim, America Movil and Zain group. Huh, not so great, right? Yep. I'm talking directly to you senior telco execs. I'm here to wake you up. Why is it that Wall Street doesn't see you as tech? Why aren't CSPs seen as driving all the tech change? Why is it always Apple, Amazon and Google who get the big buzz? But more importantly, why isn't it you? Before I came to this industry, I always thought of carriers as tech companies. I gave more of my money to AT&T and to Apple because I really cared about the quality of the network. But I also wondered why on earth, the carriers allowed all the other tech companies to take center stage. After spending the last few years in telco, I now understand why. It's because you are network people, you are not customer people. I get it, you have the security blanket, you're a network oligopoly. It's crazy expensive to build a network and it's expensive to buy spectrum. It takes operational chops to run a killer network and it takes great skill to convince Wall Street, to finance all of it. You telco execs are amazing at all those things, but because you focus on the network, it means you don't focus on the customer. And so far you haven't had to. Every telco's KPI is to be less shitty than their next competitor. You don't have to be the best, just don't be last. Everyone else's NPS, is in the thirties too. Their mobile app ratings are just as terrible as yours. Everyone's sucks at customer sat and it's widely acknowledged and accepted. Let's talk about the cost of that. The cost is not measured on market share against other MNOs. The cost is measured in lost ARPU that the tech guys are getting. Everyone knows about the loss of texting, to WeChat, WhatsApp and the other OTT apps, but it is not just texting. The total adjustable market or term of the mobile app disruptors is huge. Instead of remaining network focused, you should be leveraging your network into a premier position. And because you're a network people, I bet you think I'm talking about coercive network leverage. That is not what I'm talking about. I'm talking about love, customer love. There is one thing the highly valued tech companies all have in common. They all crush it on customer love. They look at every interaction with the customer and say, "How do we make the customer love this?" Like Netflix has easy monthly cancellation, Amazon does no questions asked returns, Uber gives users a real time view into driver rating and availability. Compare those ideas to the standard telco customer interaction. The highly valued tech companies, don't have the network oligopoly to fall back on like you do. To survive they must make customers love them. So they focus on it in a big way and it pays off. Their NPS is close to 70 and they have app ratings of 4.5 or higher. A far cry from your thirties NPS and app ratings of 3.5. If you want to have those huge tech multiples for yourself, you have to start thinking about these guys as your new competition, not the other telcos in your market. The crazy thing is, if you give up using your network as a crutch and put all of your focus on the customer, the network becomes an asset worth more than all the super apps. Let's step back and talk about the value of super apps and becoming customer centric. Retooling around the customer is a huge change. So let's make sure it's worth it. We aren't talking about 25% improvement. I'm going to show you that if you become customer centric, you can double your ARPU, double your valuation multiples and drive big shareholder value just like the tech companies on that chart. Now let's talk about the customer focused super apps. There are hundreds of companies and a variety of categories vying for your subscriber's disposable income. Movies, food delivery, financial services, who are they? And why does Wall Street give them such high evaluations and like them so much? Well first, look at what they are telling Wall Street about their TAM. They broadcast ridiculously huge TAMs that are greater than the telco TAMs. You know, who should have a ridiculously huge TAM? You. Hello. What I'm saying is that if you got what's yours, you double in size. And if you take the TAAMs they throw around, you'll be five times as big. When I think about the opportunity to double ARPU, without having to double the CapEx, to build out the network, I say to myself, "Hell yeah, we should totally go do it and do whatever it takes to go get." For example, let's talk about Grab. Grab is a southeast Asian super app company with an expected $40 billion valuation. Grab's customer focused started in rideshare, but then leverage its customer love into wallet deliveries, hospitality, and investing. Their ARPU is now larger than a telco's ARPU in countries where they compete, and they have a higher valuation than those telcos too. Imagine if you could combine a great user experience with a valuable services that helped grow your ARPU, that would be huge. So how do you build a super app? I bet right about now, you're wishing you had a super app. Everyone wants a super app. A lot of money has been unsuccessfully spent by telcos trying to build their own. I bet you're saying to yourself, "DR, your pie in the sky sounds great but it has no chance of success." Well, I'm betting things are about to change. There is a public cloud startup called Totogi that is going to help carriers build world class super apps. To have a successful super app, there is one key metric you need to know. It is the KPI that determines if your super app will be a success or a flop. It's not about the daily active users, it's not the average order value, it's not even gross merchandise value. It's all about the frequency of use per day by the user, that's the metric that matters. How many of you use that metric in your telco apps? Do you have a team driving up user app interactions every day? Most telco apps are used for top up or to check a bill. This is a huge missed opportunity. Super app companies excel at building great experiences and driving a huge amount of interactions. They have to, their business depends on it. They have to be customer focused. They have to keep bringing the user back to the app, every day, multiple times a day. And you know what? They do a great job. Customers love their super apps. They have great user experiences like Apple credit cards, no information required, application process. They have high net promoter scores because of customer friendly policies, like how DoorDash retroactively credits fees when you move to a better plan. And they have great app store ratings because they do simple things like remember your last order, or allow you to use the app rather than force you to call customer service. Customers of successful super apps love it when new services are added. And because of the customer love, every time something is added to the app, customers adopt it immediately. New services drive frequent daily user interactions. So our problem in telco is we have an app that is only open once per month, not multiple times per day. And without frequent opens, there is no super app. What do we do we have in telco that we could use to help with this problem? I wonder, why you don't currently have a mobile app that subscribers use multiple times a day. You have something that's 10 times better. You have a network. Subscribers already interact with your network 10 times more frequently than any user with any of the super apps. But telcos don't leverage those interactions into the insanely valuable engagements they could be. Worse, even if you wanted to your crappy over customized on premise solutions, make it impossible. Thankfully, there's this new tech that's come around, you may have heard of it. The public cloud. When you bring the enabling technology of the public cloud, you can turn your network interactions into valuable super app interactions. And there's a special new startup that's going to help you do it, Totogi. Totogi will leverage all those network interactions and turn them into valuable customer interactions. Let me repeat that. Totogi will leverage all those network interactions and turn them into valuable customer interactions. Totogi allows the carrier to leverage its network and all the network interactions into customer engagement. This is something the super apps don't have but will wish they did. But this magic technology is not enough. Telcos also need to move from being network focus to being customer focused. Totogi enables telcos to chase exciting revenue growth without that annoying massive CapEx investment. Totogi is going to help you transform your sucky mobile apps with the crappy customer ratings, into something your subscribers want to open multiple times a day and become a platform for growth. I'm so excited about Totogi, I'm investing $100 million into it. You heard me right, $100 million. Is this what it feels like to be soft bank? I'm investing in Totogi because it's going to enable telcos to leverage the network interactions into super app usage. Which will lead to an improved subscriber experience and will give you a massive jump in your ARPU. And once you do that, all those Telco valuations will go from down here to up here. And so I've been talking to some folks, you know, checking in, feeling them out, getting their thoughts, and I've been asking them, what do you think about telcos building super apps? And the response has been, click, everyone says, "No way, telcos can't do it." Zero chance, total goose egg. One suggested I build a bonfire with 100 million dollars, because then at least I wouldn't waste years of my life. Well I think those people are dead wrong. I do believe that telcos can build super apps and make them super successful. The public cloud is changing all parts of telco and Totogi and super apps are fundamentally changing, the customer relationships. In one month at MWC, people will see what Totogi has to offer, and they will understand why I'm making this bold call. Because the Totogi takes the value of the network and the power of the public cloud to help telcos move from being network centric, to being customer centric. Boom! If you want to make this transformation and reap all the financial benefits, you will have to compete for customers with a whole new set of players. You will no longer compete with the network focus guys like the other telcos, instead you will be competing against the customer focused companies. These players don't have a network to fall back on like your old competitors. They know they have to make customers love them. Their customer loyalty is so off the charts, their customers are called fans. So if you want that big money, you will have to compete on their turf and make the customers want to choose you, you need Apple level loyalty. That bar is uber high. We will have to give up the security blanket of the network and change. Instead of NPS of the thirties, it needs to be in the 70s. Instead of mobile app ratings in the threes, they need to get five stars. I'm betting big that Totogi will make that possible. I'm going to help you every step of the way, starting with my keynote next month at MWC. Join me and I'll share the secrets to converting your super valuable network interactions to make your super app a massive success. We're going to have an amazing time and I can't wait to see you there. >> Okay. We're back here in theCUBE here at Mobile World Congress in Cloud City. I'm John Furrier, Chloe Richardson filling it for Dave Vellante who's out on assignment. He's out getting all the data out there and getting stories. Chloe, what a great keynote by Danielle Royston. We just heard her and while with major action, major pump me up, punch in the face, wake the heck up cloud people, cloud is here. She didn't pull any punches. >> No, I mean the thing is John, there's trillions of dollars on the table and everyone seems to be fighting for it. >> And you heard her up there, if you're not on the public cloud, you're not going to get access to that money. It's a free for all. And I think the cloud people are like, they might think they're going to walk right in and the telco industry is going to just give it up. >> No, of course. >> There's not going to be, it's going to be a fight, who will win. >> Who will win but also who will build the next big thing? >> Someone needs to die in the media conversation, it's always a fight, something's dead, something's dead but keeps the living. All that kidding aside, this is really about partnering. I think what's happened is, telco's already acknowledged that they need to change in the 5G edge conversation, the chip acceleration. Look at Apple, they've got their own processors, Nvidia, Amazon makes their own chips, Intel's pumping stuff out, you've got Qualcomm, you've got all these new things. So the chips are getting faster and the software's more open source and I'm telling you, cloud is just going to drive that bus right down clouds street and it's going to be in Cloud City everywhere. >> And it's going to be peeping on the board as it drives down. John, I'm not a stalker, but I have read some of the things that you've written. And one of the things you mentioned that was really interesting was the difference between building and operating. Break it down for me. What does that mean? >> That means basically in mature markets and growing markets things behave differently and certainly economics and the people and the makeup and the mindset. >> Okay. >> So the telco has been kind of this mature market. It's been changing and growing but not like radically. Cost optimization, make profit, you know, install a lot of cable. You got to get the rents out of that infrastructure and that's kind of gone on for too long. Cloud is a growth market, and it's about building, not just operating and you've got operators, carriers are operating networks. So you're going to see the convergence of operators and builders coming together, builders being software developers, new technology and executives that think about building. And you want people on your team that are going to be, I won't say war time, you know, lieutenants or generals, but people who can handle the pace of change. >> Okay. >> Because the change and the nature is different. And some people want slow and steady, keep the boat from rocking, but in a growth market, it's turbulent and ride might not be quiet, first class ticket to paradise, but it's bumpy, but it's thrilling. >> No, of course. Is it similar to the old sales adage of hunter versus farmer and the parallels? >> Yeah. I mean, the mindset. If you have a team of people that aren't knocking down new opportunities and building the next big thing, fixing your house, get your house in order, you know, refactor, reset, reboot, re platform with the cloud and then refactor your business. If you don't have the people thinking like that, you're probably either going to be taken over or go out of business. And that's what the telco with all these assets, they're going to get bought roll into a SPAC, special purpose acquisition company was a super hot in the United States. A lot of roll ups going on with Private equity. So a lot of these telcos, if they don't refactor or re platform, then refactor, they're going to be toast and they're going to get rolled up and eaten up by somebody else. >> Yeah, sure. It's interesting though, isn't it? Because when we think of telco in tech, we often think of, obviously we've got the triad. People process technology, and we think process and technology really take the forefront here but like you said there, people are also so important because if you don't have this right balance, you're not going to be able to drive that change. We had, obviously Scott Brighton on the stage yesterday and after his session, somebody came up to me and just said, "I'm interested to hear what that means for education." So how can we establish this new generation of tech and telco leaders from the grassroots with educational associations establishments? How can we encourage that? I wonder, is this something that you talk about often? >> Yeah. I mean, education is huge and this highlights the change that telcos now part of. Telco used to be a boring industry that ran the networks, or moving packets around and mobile was there, but once the iPhone came out in 2007, the life has changed, society has changed, education's changed, how people interact has changed. So you start to see people now aware of the value and if you look at the, during the COVID, the internet didn't crash, the telcos actually saved our asses and everyone was, survive because the network didn't break. Yeah, we had some bad zoom meetings here and there and some teleconferences that didn't go well but for the most part we survived and they really saved everybody, my goodness. So they should get kudos for that. But now they're dependent upon healthcare, education, people care about that stuff. So now you're going to start to see an elevated focus on what telecom is doing. That's why The Edge has checked trillions of dollars up for grabs. But education, there's negative unemployment in cybersecurity and in cloud. So for the people who say, oh, there's no jobs or I can't work, that's a bunch of BS because you can just get online, get on YouTube and just get a degree. You can get a degree, you can get an Amazon job, it pays a hundred thousand dollars a year, American. You can make a hundred thousand pounds and be unemployed six months and then be employed. So negative unemployment means there's more jobs than people to fill them qualify. >> Yeah, it's interesting you mentioned that because I was talking to a cyber security leader who was saying in some of the things there were now 3 million vacancies in cybersecurity and there's such a skill shortage, there is nobody around to fill it. So it's an interesting problem to have isn't it? Cause it's reversed to what we've been used to for the last few decades and obviously telco is in the same space. What can we do about it? Do you think it will actually bring people in? >> I think it's going to take leadership and I'm a big proponent of kids not going to university, they don't have to. Why spend the dough, money if you don't have to? You can get online. I mean, the data's there, but to me it's the relationships, the mentorship. You starting to see women in tech and underrepresented minorities in the tech field, where mentorship is more important than curriculum. Community is more important than just going through a linear course where nobody wants to sit online and go through linear courseware. Now, if they have to get a certificate or degree and accreditation no problem, but communities are out there. So that's a big change over, I'm a big fan of that and I think people should, you know, get some specialized skills, you can get that online. So why even go to school? So people are figuring that out. >> For sure. And also even transferring, I mean, so many skills are transferable nowadays, aren't there? So we could easily be talking to people from other industries and bringing them into telco and saying, look, bring what you know from your retail background or your healthcare background and help us at telco to again, drive forward, just like DR is saying it's all about the next big thing. >> Danielle, I was also driving a lot of change and if you think about the jobs and a pedigree of going to a university, oh, Harvard, all the big Ivy leagues, Oxford in your area. So it's like, if you go to a school like that and you get a pedigree, you instantly get a job. Now, the jobs that are available, weren't around five years ago. So there's no like pedigree or track record, there's no like, everyone's equal. >> Yeah. >> So you could, the democratization of the internet now is, from a job standpoint is, people are leveling up faster. So it's not about the Ivy league or the big degree or silver spoon in your mouth, you've got the entitlement. So you start to see people emergent and make things happen, entrepreneurship in America, immigrant entrepreneurship. People are billionaires that have no high school diplomas. >> It's interesting you mentioned that John, because we can have more than five years experience in this space, we know that but in telco there is a problem and maybe it's, again it's a flipped problem where, telco recruiters or talent acquisition leaders, are now asking for kind of 10, 20 years experience when they're sending out job descriptions. So does that mean that we are at fault for not being able to fill all these vacancies? >> Well, I mean, I think that's just, I mean, I think there's a transition of the new skill set happening one, but two, I think, you know, you've got to be like a chip engineer, you can't learn that online, but if you want to run a cloud infrastructure, you can. But I think embedded systems is an area that I was talking to an engineer, there's a huge shortage of engineers who code on the microprocessors, on the chips. So embedded systems is a big career. So there's definitely parts, you can specialize, space is another area you've seen a lot of activity on, obviously Jeff Bezos and Elon Musk is going to be here on virtual keynote, trying to go to Mars. And, you know, Danielle Royston always says, who's going to happen first, Mars, colony, or telco adopting public cloud? Some people think Mars will happen first but. >> What do you think John? >> I think telco's going to get cloud. I mean, first of all, public cloud is now hybrid cloud and the edge, this whole internet edge, 5G, is so symbolic and so important because it's an architectural beachhead. >> Yeah. >> And that's where the trillion dollar baby is. >> Of course. >> So the inside baseball and the inside money and all the investors are focusing on the edge because whoever can command the edge, wins all the dollars. So everyone kind of knows it's a public secret and it's fun to watch, everyone jockey for the positions. >> Yeah, know, it really is. But it's also quite funny, isn't it? Because the edge is almost where we were decades ago, but we're putting the control back in the hands of consumers. So it's an interesting flip and I wonder if with the edge, we can really enhance this acceleration of product development its efficiency, this frictionless system in which we live in. And also, I've heard you say hybrid a few times John. >> Yeah. >> Is hybrid going to be the future of the world no matter what industry you're in? >> Hybrid is everything now. So it's, we're the hybrid cube, we've got hybrid cloud. >> Exactly. >> You got hybrid telco, because now you've got the confluence of online and offline coming together. >> Yeah. >> That is critical dynamic, and you seeing it. Like virtual reality for instance, now you seeing things, I know you guys are doing some great work at your company around creating experiences that are virtual. >> Exactly. >> You got, like Roblox went public recently. >> Yeah. >> Metaverse is a good time to be in that business because experiential human relations are coming. So I think that's going to be powered by 5G, you know, gamers. So all good stuff, Chloe, great to be with you here in theCUBE. >> Thank you. >> And we're looking forward to seeing your main stage. >> Great. >> And then we're going to send it back to the studio, Adam and the team, we're waiting for DR to arrive here in Cloud City and this is theCUBE, from Cloud City back to you, Adam in the studio.

Published Date : Jun 29 2021

SUMMARY :

We're here on the floor in Cloud City, I love what you guys have And also the Cloud City is Know, I mean the atmosphere great job on the main stage. bustle of the city to find out. and the future of work. insight into the origins and she's not just, you know, It's the moonshot of the telco world. And I love the fact that she's so, the way we pioneers though, and driving the content and so pertinent to now. of COVID and people are glad to be here, I'd like to pick your brains So CES is the big consumer that is the fact that it's moving are going to lose their position. And it's the people and you can see as soon as she worked out. And back to the show, I he consolidated and rebooted the company. have a slice of the pie? hot and heavy on the fact and because of the edge, DR is really leading the charge So in order to do that, you And he's coming to talk and minimize the threats. but the number is probably and it's beyond the government, that the industries aren't And this is really about to and all the actions. Totogi is going to help you He's out getting all the data on the table and everyone on the public cloud, you're going to be a fight, who will win. So the chips are getting And one of the things you mentioned and the makeup and the mindset. So the telco has been Because the change and and the parallels? and they're going to and telco leaders from the grassroots So for the people who of the things there were I mean, the data's there, but and saying, look, bring what you know and if you think about the So it's not about the Ivy to fill all these vacancies? to run a cloud infrastructure, you can. and the edge, this And that's where the and the inside money in the hands of consumers. So it's, we're the hybrid of online and offline coming together. and you seeing it. You got, like Roblox great to be with you here to seeing your main stage. Adam and the team, we're

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Dave Humphrey, Bain Capital | theCUBE on Cloud 2021


 

>>from around the globe. It's the Cube presenting Cuban cloud brought to you by Silicon angle. Hello. We wanna welcome back to the Cuban cloud where we're talking to CEOs, C. E. O s, chief technology officers and investors. On the future of Cloud with me is Dave Humphrey, who is the managing director and co head of Private Equity North America at Bain Capital. They've welcome to the Cube. First time, I think. >>First time. Yeah, David, thanks very much for having so >>let's get right into it. As an investor, how are you thinking about the evolution of cloud? When you look back at the last decade, you know it's not gonna be the same, uh, in this coming decade, you know, Thio ironic 2020 is has thrown us into, you know, the accelerated digital transformation and cloud. But how do you look at the evolution of cloud from an investment perspective? What's your thesis? >>That's a great question, David. You know, for us, we're focused on investing in technology and really across the economy. And I'd say the cloud is the overarching trends and dynamic in the technology markets. And really, for two reasons, one is a major shift. Of course, that's going on. But the second and frankly, even more interesting one to us is all the growth that the cloud is creating in the technology marketplace. You know the ship. It has been well covered. But five years ago in 2015, by our analysis, two thirds of all computing workloads were done on premises and Onley. Five years later, that's that's flipped. So two thirds of all computing workloads now done done in the cloud. And, of course, that shift. There's a lot of ramifications as an investor. But even more interesting dust is the growth in technology and the usage of technology that the cloud is creating. So over that same period of time, the total number of computing workloads run has increased by 2.6 times just a five year period time, which is really a a dramatic thing. And it makes sense when you think about all the new software applications that could be created, all the data that could be used by new users and new segments, and the real time inside that could be gleaned from that is that growth that really were focused on investing behind a Z. Investors in technology. You >>know, it's interesting you just took share those numbers and you hear a lot of numbers. I I actually think you you know, you your even being conservative. You know, Ginny Rometty used to talk about 80% of workloads or are still on Prem. Andy Jassy it reinvent said that 96% of spending is still on premises. So that was kind of an interesting stat. And I guess the other thing that I would, I would note is it's not just a share shift. It is. It's not just, you know, the cloud eating away it on Prem. We've clearly seen that, but there's also incremental opportunity as well. If you look at snowflake, for example, and adding value on top of, you know across multiple clouds and creating new markets, so there's there's that, you know, double that 12 punch of stealing share from on Prem but also incremental growth, which is probably accelerated as a result of this, you know, compressed digital transformation. So when you look at the Big Three cloud players, I mean roughly speaking, they probably account for $80 billion in total revenue which I guess is a small portion of the overall I t. Market. So it has a a long way to go. But But what's the best way to get good returns from an investment standpoint without getting clobbered by their tendency to sometimes coop some of the best ideas and put them on their primary services? >>Yeah, absolutely. Well, you know, for us, uh, it really comes back to the same fundamental principles we look for in any investment, which is finding a business that solves a really important problem for its customers and does so in a way that's really advantaged vs competition can and do something that other competitors just can't do, whether those be the hyper scale is that you're describing or, you know, other specialized and focused competitors, and then finding a way that we can partner with those companies to help them to accelerate their growth. So surely the growth of the likes of AWS and Microsoft and Google, as you're describing, has been a profound competitive shift, along with the cloud shift that we've all talked about. And those companies, of course, can offer and do things that you past purveyors of computing couldn't. But fundamentally, they're selling and infrastructure layer, and there is room for all sorts of new competitors and new applications that can do something better than anybody else can. So any company that we're looking at, we're asking ourselves the question. Why are they the best ones to do what they're doing? How could they solve the most problem for their customers and do that in a way that's that's Brazilian and we see lots of those opportunities, >>and I wanna I wanna pick your brain about the Nutanix investment. But before we get there, I wonder if you could just talk about Bain Capital in their their history of investment in both cloud and infrastructure software and and how do those investments? How would they performed? And how do they inform your current thesis? >>Yeah, absolutely. So being Capital was started in in the mid eighties, 1984 actually has a spin out of being a company consulting, and the basic premise was that if we're good at advising and supporting businesses, we should partner with them and invest behind them, and if they do well, we'll do well. And, as I said, focusing on these businesses but do something really valuable for their customers in a riel advantaged way, with some discontinuous growth opportunity that's led us to grow a lot. You know, we started out actually in the venture business and grew into the private equity business. But now we invest across all life stages of companies and all over the world. So we're $105 billion in assets that we managed across 10 lines of business on were truly global. So I think we have about 470 investment professionals and 210 of those at this point are located outside the U. S. One of the really interesting things for us in investing in technology broadly and in infrastructure in the cloud more specifically is that we're able to do that all over the world. And we're able to do that across all the different life stages of companies. We have a thriving venture capital business that really we've been in since the origins of being capital has invested across countless cloud and security and infrastructure businesses taken successful companies public like like solar wind sold companies to strategic and grown businesses. You know, in really thriving ways we have a, um, growth mid market growth technology business that we launched last year. Called their Technology Opportunities Fund. They've made a really interesting cloud based investment in a company called the Cloud Gurus Cloud Guru Excuse me? That trains the next generation of I t professionals to be successful in the club on then, of course, in our private equity business, you know where I spend my time. We are highly focused on technology sector and the the impacts of the cloud in that sector. Broadly, we've invested in many infrastructure businesses, scale businesses like BMC software and Rockets software security businesses like blue coat systems and semantic. And of course, for those big businesses they've got both on premises solutions. They've got cloud solutions, and often we're focused on helping them continue to grow and innovate and take their solutions to the cloud. And then, uh, that's taking us to our most recent investment in Nutanix that we're very excited about it. We think it's truly a growth business in a large market that has an opportunity to capitalize on these trends we're talking about. >>I wonder if you could comment on some of the changes that have occurred. You guys have been in the private equity business for a long time. And if you look at what you know, kind of the early days of private equity, it was all you know, even, uh, suck as much cash out of the company is possible. You know, whatever's left over will figure out what to do with it. It it seems like you know, investors have realized Wow, we can actually, if we put a little investment in and do some engineering and some go to market, we can actually get better multiples. And so you've got the kind of rule of 30 35 40 where he made a plus. Growth is kind of the metric. How do you think about that? And look at that evolution. >>Yeah, you know, it's interesting because in many ways, being capital was started as the antithesis to what to what you're describing. So we started again, as as with a strategic lens and a focus on growth and a focus on if we got the long term and the lasting impact of our business is right, that the returns would would follow. And you're right that the market has evolved in that way. I mean, I think some of the some of the dynamics that we've seen has been certainly growth of the private equity business. It's It's become a much larger piece of the, you know, the capital markets than it was certainly 10 years ago in 20 years ago. Also, with that growth comes the globalization, that business all over the world and the specialization. So you certainly see technology focused firms and technology focused funds in a way that you didn't see, uh, 10 years ago, or certainly 20 years ago actually being capital. Interestingly enough, we had a technology focused fund in 1989 called called Being Information Partners. So we've been focused on the sector for a very long time. But you certainly see ah, lot more technology investors, uh, than than you did you know 10 or 20 years ago? >>How are you thinking about valuations? Thes days? I mean, that is good. It's good to be in tech. It's even better to be in the cloud. You know, Service officer, software Cloud. You know if if if you're looking at, you know some of the companies, especially the work from home pivot. But a lot of that appears to be. You know, many people believe it's going to be permanent. How are you feeling about the both public market and private market valuations in that dynamic? >>Yeah, well, you know, it's it's amazing, right? I don't think any of us in March, when the covert crisis was just emerging, would have anticipated that that come November, the markets, and certainly the technology markets would be even more robust and stronger than than they were say in January February. But I think it's a testament to the resilience of the technology on that just how intricate and intertwined technology has become with our daily lives and and how much companies depend on its use. And frankly, it's been the cove environments that an accelerant for many of the ways in which we depend on technology. So witnessed this interview, of course, through through the through the cloud, and you're seeing the way that we operate our business day to day the way cos they're accessing their data and information. It's only further accelerated the need for technology and the importance of that technology to how how businesses operate. So I think you're seeing that reflected in the market values out there. But, you know, frost work. We're focused on businesses that still have that catalytic opportunity ahead that can more than compensate for for the price of entry. >>So let's talk about this massive investment. You guys made a Nutanix 750 million, I guess, is a small piece of your 105 billion, but still a massive investment. How did that opportunity come to you? What was your thinking? You know, behind that that investment and what are you looking for in terms of the go forward plan and growth plan for 2021 really importantly, beyond. >>Yeah, absolutely. Well, we're thrilled to be partnered with and invested in Nutanix. We think is a terrific company. And, you know, our most recent technology investment and private equity business. It really came about through a proactive efforts that we had in in the spring. Um, you know, we've got a team focused on the technology sector, focused across infrastructure and applications, and, uh, internet and digital media businesses and financial technology. And, uh, you know, through those efforts, we were looking for businesses. Um, that we felt had faced some dislocation and their market values associated with the Koven environment that we're facing but that we thought were really attractive. Business is well positioned, had leading solutions and had substantial and discontinuous growth opportunities. And as we looked through that effort, we really felt that Nutanix stood out just as a core leader and in fact, really the innovator and the inventor of the market in which it competes with a substantial market share in position solving a really important problem for its customers with a big growth opportunity ahead. But, um, the stock price had had come down because the business has been undergoing ah transition, and we didn't think that that was fully understood by by the market. And so way saw an opportunity Thio partner with Nutanix to invest money into the business to help to fund its transition and its growth. Yeah, and Thio to be partners along for all the value the business will will continue to create. We think it's a terrific company, and we're excited to be to be invested >>Well, you and I have talked about this that transition, you know, from a traditional, you know, license model to one That's Anania recurring revenue model, which many companies have gone through. You know, Adobe certainly has done it. Tableau successfully did it. Splunk is kind of in the middle of that transition right now and maybe not well understood. You've got companies like like Data Dog that and snowflake again to doing consumption based pricing. So there's a lot of confusion in the marketplace, and I wonder if you could talk about that transition and why it It was attractive to you to actually, you know, place that bet now? >>Yeah, absolutely. And as you say, a number of companies at this point have been through various forms of this shift, from from selling their technology upfront to selling it over time on, we find that the model of selling the technology over time eyes one that could be powerful. It could be aligning for customers as well as for, uh, vendor of the software solutions. And in Nutanix in particular again, we saw all the ingredients that we think make this an opportunity for for the business again, market leading technology that customers love. That is solving really important problem. The technology, because Nutanix had been grown and bootstrapped under the leadership of, uh, you know of zeros when it was built and founded, had been selling its software together with an appliance, you know, often in a, um, upfront sale Andi has been undergoing under their own initiative transition from selling that software with an appliance to a software based model to one that s'more rattle over time. And, you know, we thought that there was the opportunity to continue that to continue that transition and by doing that, to be able to offer mawr growth and mawr innovation that we could bring to our customers Thio continue to fund the shift. So something that frankly was well underway before we invested. Um, you know, as a za business makes this transition from collecting upfront Thio, you know, thio more evenly. Over time, you know, we saw a potentially use for our capital to help to fund that growth. And we're just focused on being a good partner toe help the company keep investing in abating, as as it contains to do that. >>I was talking to somebody other day, David. I told him I was interviewing you, and I was mentioning the Nutanix investment. I said, I'm definitely gonna cover that as part of this. You know, Cuban Cloud program. And they said Hit Nutanix. That's not cloud. I'm like, Wait a minute, What's cloud? So we heard Andy Jassy reinvent talking a lot about hybrid Antonio Neary, right after HP made its earnings last earnings announcement he came on on, said that well, we heard the big Cloud player talk about hybrid, and so the definition is changing. But so how are you looking at the market? Uh, certainly. There's this hyper converged infrastructure, but there's also this software play. There's this cloud play. Help us squint through how you see that >>absolutely so Nutanix, as you alluded to, pioneered the market for hyper converged infrastructure for bringing computing storage networking together. Uh, you know, often in private cloud environments in a way that was really powerful for for customers. Make, of course, continue to be the leaders in that marketplace. But they've continued to innovate and invest in ways that can solve problems for customers and related problems across the hybrid cloud. So combining both the public cloud with, you know, with that private cloud and across multiple public clouds with things like clusters and lots of innovation that business is doing in partnership with the likes of, um, Amazon and Microsoft and others. And so, yeah, we think that New Chance has a powerful role to play in that hyper cloud world in a multi cloud world. And we're excited toe back on them. >>Well, I think to what maybe people don't understand is that not only is Nutanix, you know, compatible with AWS and compatible with azure and G C. P. But it's actually kind of create a nabs traction layer across those those clouds. Now there's two sides of that debate. Some some will say, Well, that that that has Leighton see issues or yes, it reduces complexity. But at the same time, it doesn't give you that fine grained access. That's kind of the A W s narrative customers, you know, want simplicity. And we're seeing, you know, the uptake across clouds. I have a multipart question for you, Dave. So obviously being very strong and strategy I'm curious is toe how how much you get involved in the operational details. I mean, obviously 750 million u got a state there, but what are the 2 to 2 or three major strategic considerations for not just even just Nutanix but cloud and software infrastructure companies. And and how much focus do you put on the operational and one of the priorities There? >>Absolutely. Well, you know, we pride ourselves in being good partners to our businesses and in helping them to grow, not just with our capital, which I think is, of course, important, but also, you know, with our sweat equity and our and our human capital in our partnership that we could do that in lots of ways is fundamentally about, um, you know, supporting our businesses, however, is needed to help them thio grow. We've been investing in the technology sector, as I described for over over 30 years. And so we've built up a set of capabilities around things like helping toe partner with the sales force of our company is helping them toe, you know, think about the you know, the ways in which they they allocate their, uh their research and development and their in their innovation raised in which they, you know, continue Thio do acquisitions toe. You know, further that pipeline, we support our businesses in lots of ways, but you know we're not engineers were not. Developers, of course, were looking for businesses that are fundamentally great. They've got great technology. They solve problems for customers in a way, you know, that we could never replicate. That's what's the amazing but a business like Nutanix and just over a 10 year period of time, it literally has customer satisfaction levels that we haven't seen from any other. Infrastructures offer company that we've had the, you know, the pleasure of diligence ing over the last several years. So what we're focused on is how can we take those great products and offerings that Nutanix has and continue to support them through the further growth and expansion in areas like, um, you know, the further salesforce investment Thio expand into these new areas like clusters that we were talking about and thinking about, you know, things that they could do toe further expand the strategic hold. Um, And so, you know, we have, ah, large team of being capital. A zai mentioned 260 investment professionals in a private equity business alone. About a third of those are just available to our companies to help support them. Uh, you know, with various initiatives and efforts after after we invest. And we'll certainly, of course, make all of those available to new taxes. Well, somebody >>was asking me the other day, You know, what's hyper converged infrastructure? How did that come about? I was explaining what, Back in the day you had. You buy some servers and some storage and you have a network and you sort of have different teams and you put applicant, You figure out all out and put the applications on top, you know, test it, make sure it all works. And then and then the guys at V. C and VM Ware and Cisco and the M. C. They got together and said, Okay, we're gonna bolt together a bunch of different components and, you know, pre tested. Here you go. Here's a Here's a skew. And then what Nutanix did was actually really transformational and saying, Okay, look, we do this through software on DSO. And now that was what, Late, late two thousands. Now we're sort of entering this new era, this next generation of cloud cross clouds. So I wonder how you think about, you know, based on what you were just talking about the whole notion of M and A versus organic. There's a lot of organic development that needs to be done. But perhaps you could you could buy in or in organically through emanate toe, actually get there faster. How do you think about that balance? >>Look, I I think that that was an articulate, by the way explanation of I think that the origins of hyper converged infrastructure. So I enjoyed that very much. But, you know, I think that with any of our businesses and with Nutanix, we're of course, looking at where we trying to get to in several years and one of the best ways to support the business to get there, you know? Of course, they'll, um you know, primarily that will be through or continued organic investment in the company and all the innovation in the product. Um, that they've been doing will the company contemplate acquisitions toe further achieve the development goals and the objectives for solving pain points for customers to get, you know, to the strategic places they're trying to get to, of course. But you know, it all is a part of the package of of What's it a good fit company and its growth object. >>I mean, with the size of your portfolio, I mean your full stack investor, I would say, Is there any part of the so called tech stack that you won't touch that you would actually, you know, not not walk, but run away from, >>uh well, you know, I wouldn't say that we're running away from, you know, anything but the questions that we're asking ourselves. Our is the technology that we're investing in durable, ISAT advantaged and does have a growing role in the world. And, you know, if if we think that those things are true are absolutely, um, thrilled toe invest behind those things. You know, if if there are things that we feel like you, that's that's not the case, um, you know, then then we would tend toe to shy away from those investments. We've certainly found opportunities and businesses that people perceived as one. But you know, we believe to be another >>Well, so let me ask you specifically about about Nutanix. I mean, clearly, they achieved escape velocity. One of the few companies actually from last decade. It was Nutanix pure, not a whole lot of others. That actually, you know, were ableto maintain independence as a as a public company. What do you see is their durability. Uh, they're they're they're in their moat. If you if you will. >>Yeah, absolutely. Well, clearly, we think that it's a very durable and very advantage business. You know, that's that's the investment. Look, we think that Nutanix has been able to offer the best hyper converged infrastructure product on the market bar None. Um, one that has got the best ease of use Eyes is the most nimble and flexible for for customers. And you just see that, you know, recently and customer feedback And also that plays across very heterogeneous architectures in a way that, you know, it's really, really powerful because of that. You know, we think that their best position to be able to leverage that technology as they have been, uh, to continue to play across both public and private hybrid cloud environments. And so we're excited toe to back them and and that journey it really starts from solving and acute customer pain point, you know, better than anybody else can. And, you know, we're looking to to back them toe continue to expand that vision. >>Yeah, well, I've talked to a lot of Nutanix customers over the years, and that is the fundamental value. Proposition is it's really simple, very high, you know, customer satisfaction. So that makes a lot of sense. Well, Dave, thanks very much for coming on the Cube and participating in the Cuban cloud. Really? Appreciate your perspectives. Wish you best of luck. And hopefully we could do this again in the future. Maybe face to face >>now, face to face, maybe something even know. Dave, I really appreciate it's been a pleasure and good luck with with the rest of your interviews. >>All right. Thank you. We keep it right. Everybody from or Cuban Cloud, this is Dave Volonte. We'll be right back.

Published Date : Jan 22 2021

SUMMARY :

cloud brought to you by Silicon angle. Yeah, David, thanks very much for having so in this coming decade, you know, Thio ironic 2020 is has thrown us into, And it makes sense when you think about It's not just, you know, the cloud eating away it on Prem. you know, other specialized and focused competitors, and then finding a way that we can partner I wonder if you could just talk about Bain Capital in their their history of in a large market that has an opportunity to capitalize on these trends we're talking about. It it seems like you know, investors have realized Wow, we can actually, It's It's become a much larger piece of the, you know, the capital markets than it was certainly How are you feeling about the both public Yeah, well, you know, it's it's amazing, right? You know, behind that that investment and what are you looking for uh, you know, through those efforts, we were looking for businesses. it It was attractive to you to actually, you know, its software together with an appliance, you know, often in a, But so how are you looking at the market? So combining both the public cloud with, you know, with that private cloud and across multiple public And we're seeing, you know, the uptake across clouds. that we were talking about and thinking about, you know, things that they could do toe further expand Okay, we're gonna bolt together a bunch of different components and, you know, pre tested. the business to get there, you know? that's that's not the case, um, you know, then then we would tend toe to shy away from those investments. That actually, you know, were ableto maintain independence as a as a public And also that plays across very heterogeneous architectures in a way that, you know, it's really, really powerful because Proposition is it's really simple, very high, you know, customer satisfaction. the rest of your interviews. Everybody from or Cuban Cloud, this is Dave Volonte.

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Kelly Herod, Deloitte Consulting LLP | AWS re:Invent 2020


 

>> Announcer: From around the globe. It's theCUBE with digital coverage of AWS re:Invent 2020, sponsored by Intel, AWS and our community partners. (upbeat music) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're coming to you from our Palo Alto studios today with our ongoing coverage of AWS re:Invent 2020. It's a virtual event, like all the events in 2020, but we've been going there since 2013. We're happy to be back this year and we're excited to have for the first time on theCUBE, our next guest, she's Kelly Herod the US SAP Offering Leader for Deloitte Consulting. Kelly, great to see you. >> Great to see you as well, Jeff, thanks so much for having me. >> Absolutely, so first time on, on theCUBE, you guys have a really interesting concept at Deloitte, you call it the Kinetic Enterprise. What is the Kinetic Enterprise all about? >> Yes. So if you think about the past, organizations built their technology infrastructures to be what we would call built to last, the future though is all about built to evolve. And that's exactly what the Kinetic Enterprise is. It's really how we're helping our clients create the right technology infrastructures that evolve with their business. And Kinetic Enterprise is focused on four key pillars. The first, that we're building a technology solution that's clean. That means we want to have reduced amount of custom code or things that we may have built that really rack up your technical debt. The second pillar is that it's intelligent. So we're leveraging all of the technologies, artificial intelligence, machine learning, to really automate and change the way in which an organization runs their business. The third pillar is that it's responsive, and that means it's on the cloud and this is where AWS comes in. And then the last pillar is that it's inclusive. So it uses all of the technologies and microservices available to really optimize and achieve a company's business value objectives. >> So that is a great summary, and I've got the list of the four pillars. It's just interesting you lead with clean. You know, there's a lot of conversation about digital transformation and move fast and be dynamic, you know, would be kind of an opposite to static. But clean, interesting choice of words. It runs with core... Core clean ERP with minimum technical debt. Why clean is such an important thing? I get kind of intelligent and responsive, but clean is an interesting attribute to pick. >> Absolutely, so if you take a step back and think... (Kelly hangs) when comes to ERPs, when ERPs came out, there was... (Kelly hangs) how you're going to run your entire organization on this one solution. What we've found is that as companies have put ERPs, they've gone through and created so much customization, that it's that which makes it very difficult to be able to keep up with technology changes or actually migrate to the next versions. So the concept here is if you're going to go in and put in brand new ERP, such as an SAP S/4HANA, this time around in order to achieve the promise of ERPs, let's make it clean. Let's stick to as much standard functionality as possible within the core, and then we innovate on the edges. And so that will allow us in the future to maintain that flexibility or dynamicism of a Kinetic Enterprise. >> Right. So I have to tease you Kelly 'cause SAP R/3 and ERP is not necessarily synonymous with digital transformation, speed, agility, and embracing change. So you've been involved in Deloitte's SAP practice for a long time. Why should people start to rethink about SAP in terms of being responsive, in terms of being able to change quickly and to your vocabulary, more kinetic? >> And you're right. You know, I've been doing SAP for 20 years. So I actually did start back in the R/3 days. And, you know, I would just say that things are changing, is evolving. You know, SAP themselves has been going through a transformation, a revolution. You look at the ERP landscape as a whole, all of the ERP players are moving to the cloud. The technology is the backbones are changing. Now the reality is, you know, going in and actually changing out your ERP, no matter what solution you're using, it's a big endeavor or undertaking. The goal here, and why we're partnering with SAP, partnering with AWS is really focused on how can we make this more efficient for our clients? More importantly, I like to think about it as how can we make this less of a one and done, and more of a let's keep transforming the technologies and the business as things are changing in the market, along the way. And using technologies to even change how we implement, allows us to do that. >> So, Kelly, another thing a lot of people probably don't think of is SAP and AWS, together in the same sentence. So I'm sure there's a lot of people that are much more intelligent about this, but for those that aren't as familiar, tell us a little bit about the relationship with SAP and AWS and then how you guys are leveraging that at Deloitte. >> Absolutely. So when you... There's a couple of things that I would bring up. One is SAP S/4HANA solutions, in particular, but any SAP environment that you're running on, one of the objectives most of our clients are focused on is how to move to the cloud, and that's where AWS comes in. You can absolutely run any of your SAP solutions on AWS. And what that brings you with is more flexibility, so that you can actually scale or contract your infrastructure that you're running SAP on based on your business needs. The second thing that we've been partnering with AWS to do is a little bit of what I just mentioned, which was a teaser around, how do you change the way you even go about implementing an SAP solution or start to migrate your business? So one of the things we asked ourselves was, could we radically change how you jumpstart an S/4 implementation? And what we decided to do is team up with AWS and leveraging machine learning, artificial intelligence, most importantly, standing up an environment on AWS. We actually created what we call Kinetic Finance Startup. Many of our clients are choosing to start with finance and specifically SAP central finance to begin their journey to the new S/4HANA environment. And what we've been able to do is create a touchless build solution, so over a weekend, we can actually connect to your existing ERP solution. Majority of those is starting with an ECC environment. We can extract the data, we can use harmonization rules to actually change and modify your data and optimize it for the future. And then we actually through completely touchless built-in automation, stand up a brand new AWS environment with S/4HANA on it and actually automate the configuration and testing of the basic financial transactions. So when you come in the next week and we start the conversation with the client, we're actually looking at a real life S/4HANA system on AWS with their mas... >> Oh, that's... >> So the whole concept is to change how we engage. >> Right. So again, I don't know that I were to think of finance as kind of a lead application, to start this journey. I mean, I can see on one hand, it is the system of record and it, you know, it has a lot of very important information that's got to eventually get into finance. On the other hand, it seems like there's less critical, maybe lower hanging fruit that's less risky. Is it because you can run it kind of in a parallel path for some period of time, but it strikes me that finance might not be the first place you go to look for some early wins. >> It's actually what you just said about the parallelism. So the reason we've seen that finance actually was one of the starting points is even if you look at the history of SAP's S/4HANA solution, way back before we got to that, it started with a concept called smart accounting or simple finance. And the theory here is, you could actually... If a company has, let's say multiple ERPs, as most do, you can actually grab the financial information, bring it into a new S/4 or central finance environment, and actually combine or merge the accounting information to get improved reporting, optimize a shared service organization. So it's actually a lower risk way to start the journey before going and touching the heart of the business or core operations, or manufacturing, for example, >> That's pretty interesting. So you run it in parallel for a while and then eventually does, is the plan that it takes over, from the old. So it is effectively kind of, I guess, a slightly delayed lift and shift, or maybe it's a reassemble and then a flip. I don't know how you would describe it because it's not really lift and shift. >> It's not really lift and shift actually, you have two options. You can either over time pull all of your business processes out of the underlying ERP solutions and bring them into the S/4HANA environment or multiple S/4HANA environments. Or some companies may choose to continue to... (Kelly hangs) Especially if you're in an industry where you do a lot of acquisitions or divestitures, you may not have an intention of ever combining all of your ERPs, but you may want to change each of them to S/4HANA underneath, and then have one environment in which you're pulling your data together to really consolidate your financial reporting. >> That's great. I want to follow up on something that you mentioned, which is the use of machine learning and artificial intelligence. And we talk a lot about, right? Those are hot buzzwords all over the place, but, you know, I'm pretty vehement in that, you know, general purpose AI and ML is kind of interesting, but where the real interesting stuff ends is where the rubber hits the road, is in applied. And it sounds like you've got a pretty interesting application where you're applying this technology to help make this move to cloud go a little bit smoother. >> Yes. One of the areas, you know, since we've been talking a bit about finance then I'll use it as an example. Is if you think about it, whenever we go in and we're typically working with... (Kelly hangs) especially in finance, you know, one of the topics is, how to optimize a chart of accounts? So over time we've done this hundreds of times, if we can look at different sectors, different industries, we can use benchmark chart of accounts. So instead of making this a paper-based exercise that individuals are doing, why not take that and actually use artificial intelligence machine learning to create data harmonization rules, so that technologies can actually do that same work. And so that's been one of the things we've been working on that I personally find very interesting just in my finance background. >> Right. And is this a relatively new thing, or have you guys been doing this for a while? >> Actually, it's something that over the last 12 months, we've been focused on building out in partnership with AWS. So it's fairly new. >> That's great. I want... I'd love to shift gears a little bit, and talk about COVID, and the impact of COVID on your business. Clearly in March, right? It was the light switch moment and everybody had to work from home and it was a quick rush to make sure that everybody was safe and we could support our remote workers, that said, can't help with the ba... All the bad stuff that's happening in hospitality and travel, and a whole lot of other industries. So that aside and that's bad stuff. In the tech industry, we were able to make the move, but now we know we're six, seven, eight months into this thing, and it's clear that, you know, we're going to have many elements of this going forward for a while. So I'm curious just from your business and your customer point of view, if you can share, you know, kind of the contrast of what happened in March and April to what you're seeing now and how this new reality, whatever this new reality is going to be, as we, you know, continue to evolve is impacting this digital transformation conversations? >> It is interesting. So if I pivot back to March, when this all occurred, you know, it truly did feel an instant going from in-person. And as consultants we travel and typically have a Monday through Thursday, or Monday through Friday type of travel schedule to an instant working from home overnight. And, you know, I'm really proud of our teams and how they seamlessly made that transition. Many, including myself, were actually leading clients through final cut overs in parallel to this happening. And we were able to really pivot and make those shifts, and I was reflecting with one of the executives I worked with, you know, she and I, you know, six months later, we're looking back at how we did that and how impressed we were with what the team pulled off. And since then, they've been able to do several other go lives, which is great. But I think that it was something we had to do quickly. I think many would have said it couldn't have been done that you would see the whole world move to a working from home environment, but we did. What it tells me is it gives me a lot of hope for a lot of the things that businesses can do in the future. In the past we used to constrain ourselves of, Oh, there's no way we could ever get XYZ done, or we can't make this type of change in the world, but we can. If I flash forward to now, I think we're very settled in kind of this new way of working, but I'm also hopeful for what the future is going to look like. I don't believe it will be a pivot all the way back to... Especially for consultants traveling on a regular basis of Monday through Friday. Instead, I think we're going to create models that give people and organizations the flexibility they need to really balance some of their personal responsibilities along with their work responsibilities. My hope and expectations is that also opens up options so that all organizations have access to more talent that they may not have had before. And I think that also means global talent. I think we're showing we can work as global teams, which means, you know, I could now have members from Japan joining, you know, my permanent leadership team in ways that I maybe never have thought of before. Those are just some examples of what I expect and hope for all of us that we'll see coming out of this. >> Hopefully and I know... Like you said, you've been a consultant for years and years and years, and you guys spend lots of time on airplanes, and hopefully you don't have to spend quite so much time on airplanes because you don't necessarily have to be there all the time. But you talked about an interesting thing and that's talent and opening up the opportunity to get more talent that maybe you wouldn't have ever considered. And along those same lines, right? Is the move in diversity and inclusion. And I just watched a show that you did a few months ago, called the... "A Chance for Change: Accelerating Business Recovery, Through Gender Diversity," on a Facebook interview, very cool panel, really enjoyed it. And I want to follow up on some of those things, 'cause you've made some really simple and poignant points. And one of the things that you said definitively, go back to the wide diverse talent and perspective equals winning in business, period. I love that. You know, we hear this all the time that, you know, not only is it the right thing to do, but it's also good for business. And isn't it nice when those two things can actually line up. And you just talked about, you know, in more of a generic sense, the ability to open up your talent window when there's a worldwide talent shortage, both for geography, but also the work in diversity and inclusion and to continue to hold the momentum that continues to build in this area. I wonder if you could, you know, kind of share your thoughts on that, and your position and what's going on with Deloitte. >> Absolutely. You know, I do think this is one of those key pivotal moments for all of us, and I believe we have, coming out of this an option to really move the needle on our diversity and inclusion, and equality efforts. You know, one example I think about women, women in leadership positions. You know, being in consulting, you know, one of the challenges has always been that we do travel a lot, and it can be difficult to balance all the responsibilities, professional and personally. I think with a move to more flexible work arrangements, less travel, or travel for purpose is what I would highlight for the future. I think it opens the door to many more women being able to have careers in consulting, if that's what they, you know, had desired. I also think it allows them to have... You know, spend their entire careers in consulting and in ways we never saw before. And that means you'll see as significant movement and women in leadership positions. I also think this applies to underrepresented minorities. I hope that from all of this, instead of there may be companies that focus on recruiting from, you know, schools that are local to them or within their surrounding areas. I think this gives us an opportunity to really open that aperture up and look at talent from any school or university, or geography, and being able to get the right skill sets in the door and the right talent. Therefore you can actually see movement and diversity within teams, as well as at the leadership levels for URMs. >> Right. Right. And really managing to the right things too. I think that's the other thing that's coming out of this, and we've had a lot of conversations on work from home or work from anywhere. You guys are a little bit different than the consultant 'cause your team is there, usually local at the client site for some period of time. But for a lot of people, it's the first time they are not sitting across from a desk or, you know, within close proximity. Now you too, in your teams. And so, the shift changes that now you have to judge output, (Jeff chuckles) and not activity. And you would think that that would be a great and easy thing to execute, but we're hearing more and more that it's not necessarily. And you really highlighted, I think, three leadership traits that are always important, but more important now than ever before in that other interview. And I just want to call them out 'cause I thought it was worth calling out. You know, empathy has never been more important. Resilience, and my favorite one you said at the end, calm in the storm. I just wonder again, if you could share, you know, kind of, as you've gone through it, both, you know, as somebody at Deloitte within the greater Deloitte group, but then also in managing your own teams, to maintain that calm in the storm and to maintain, you know, empathetic leadership, because I think you've said it before, right? This is a personal challenge that we're all going through. We all have different things going on at home, whether it's the spouses working, the kids are doing homeschool. People are taking care of older parents, this and that. It's a real personal thing, and so these leadership characteristics, these softer leadership characteristics have never been more important >> That's so true. And, you know, when I think about the empathy part, right now what we're going through is also about how is each of us as leaders also sharing a bit more about how we're experiencing this? I think the sharing of stories is what also helps many on the teams adapt, adjust. The reality is when you're working on camera all day and, you know, in the past, imagine that you maybe were having a tough day or you weren't feeling that great, you weren't on camera all day with every one of your coworkers. You we're actually, you know, sitting in an office, you may have to go to the conference room to do some meetings, but you didn't look... (Kelly hangs) like someone was kind of staring at you all day long. Now, when we're working from home virtually and we're on Zoom or Skype or WebEx, et cetera, all day, it does feel like you're under the lights when you're on camera. And there's a lot of pressure and people are trying to figure out how to manage their own emotions while doing that. And, you know, my message would say as an empathetic leader, it's okay for you to also share when you might be having a tough go that day. Maybe one of your children has been kind of acting out and they didn't really want to do the virtual school. It's okay to share in that because everyone's going through it, and it makes us all more human. >> Right. >> And it makes us all more connected. >> Right. Well, I will share with you a pro tip, we've done a few of these interviews and it is okay to let people turn off the camera. And I think as a manager, I think it's actually an okay thing to say, okay, everyone, let's just turn off our cameras and get a break from that camera that's got that eye on you all the time, because it is just another, you know, kind of a factor that we have to deal with. Well, go ahead. >> And I was going to ask, what do you actually, you know, I don't know what one of your techniques is, but I know mine is some of the meetings, it's actually just go back to traditional telephone calls (Jeff chuckles) and actually even just being on your cell, put on your air, you know, your earbuds, or your headphones and even walk. >> Right. >> So I think the other thing we're all missing is actually that movement, the steps to go to the coffee maker and back, or to lunch and back, we don't have them anymore. So you've got to work extra hard, actually getting those extra steps in calories and just mental breaks at times. >> Yeah, well then there's a whole another tranche on walking during meetings. And I used have a boss that I would only do one-on-ones while we took a walk. He always says, I get in there... 'Cause then there's, you know, you're not necessarily looking at each other. And if there's some sensitive things or tough conversations, sometimes it's easier if you're not just looking across the table at one another with all the silence. So there's a lot to be said for that as well. Well, Kelly, I really enjoyed this conversation and getting to meet you for the first time. It sounds like you're doing a lot of cool and exciting things and, you know, exciting speed and innovation with SAP, that's noble work and I'm sure a lot of people are really happy to have you help them out there. So thank you very much for your time and to have a great AWS re:Invent. >> Thanks, Jeff. It was great to discuss this with you. >> Absolutely. All right. She's Kelly, I'm Jeff. You're watching theCUBE's ongoing coverage of AWS re:Invent 2020. Thanks for watching. We'll see you next time. (upbeat music)

Published Date : Dec 1 2020

SUMMARY :

Announcer: From around the globe. We're coming to you from Great to see you as well, Jeff, What is the Kinetic Enterprise all about? and that means it's on the cloud and move fast and be dynamic, you know, and then we innovate on the edges. So I have to tease you Now the reality is, you know, and then how you guys are so that you can actually scale to change how we engage. be the first place you go is even if you look at the history I don't know how you would describe it but you may want to change each of them something that you mentioned, One of the areas, you know, or have you guys been that over the last 12 months, and the impact of COVID on your business. the future is going to look like. the time that, you know, and it can be difficult to and to maintain, you know, imagine that you maybe and it is okay to let and actually even just being on your cell, the steps to go to the and exciting things and, you know, It was great to discuss this with you. We'll see you next time.

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Mark Jow and Janet Giesen, Commvault | CUBE Conversation, October 2020


 

>> Narrator: From theCUBE's Studios in Palo Alto and Boston connecting with thought leaders all around the world, this is theCUBE conversation. >> Welcome to this CUBE conversation with Commvault, I'm Lisa Martin, looking forward to having a spirited conversation with my two guests, please welcome Janet Giesen, the VP of Operations and Programs for Metallic, A Commvault Venture. Janet, welcome to theCUBE. >> Yeah, it's happy to be here. >> And joining us from EMEA is Mark Jow, the EMEA VP of Technical Sales at Commvault. Hey Mark, good afternoon to you. >> Good afternoon Lisa, it's great to be here with you. >> So just about a year or so ago, theCUBE had the pleasure of being at Commvault GO 2019 and where Metallic was launched, so happy birthday to Metallic. Some evolution and some recent news. Janet, walk us through what you guys have accomplished recently. >> Absolutely, so last year we launched with three product offerings to Metallic, Office 365 Backup, Endpoint Backup and Backup of Core data like VMs and files. In that year since we started with US only, we're now in Canada and Australia, as well as now in our first set of countries in EMEA which Mark will talk about it a little bit and we've greatly expanded our product offerings. One of the things we did, we just launched the discovery, which is a big deal for folks especially looking for compliance applications and their data protection. So we've had a real journey here and just this quarter, as you see we are doubling our product offerings to Metallic and tripling our country availability. So we're doing a lot and we're a leader in the data protection as a service space. >> A lot accomplished in just a 12 month time period, give me a little bit of a preview Janet, why was metallic launched last year for North America, US expanded to Canada and then I see it was announced... It was launched in Australia, New Zealand in the late summer 2020. I know that the cloud market... Their cloud adoption is quite high but give us a little bit of an overview of the actual go to market sequence from a regional perspective. >> Absolutely, and I'll want Mark to really take this one as well. We started in US only in our initial launch, that's where our first launch event was. That's where a lot of our pilot customers were, and then we expanded to Canada, Australia now EMEA, and this is very thoughtful. You have one chance to really launch in a geography. And we wanted it to take all the steps, whether it was compliance, trademarking, cloud storage availability. We leveraged our partnership with Microsoft and Azure for these launches. And really making sure we had everything lined up to best serve our customers. Mark what would you say about this strategy as well? >> Yeah, I think certainly, I mean the strategy is the right one, it's the right one for following reasons. If you look back to 12 months ago, I think in Colorado, I had a GO user event when we launched Metallic, I was fortunate enough to be hosting a number of EMEA partners and customers, and they were clamoring for the product, they're excited by it, they wanted it. We were (indistinct) some cases pressured to think about releasing it earlier. But all those customers wanted a product that was reversed, secure and coping with specific EMEA requirements that they have for the product in particular GDPR and supporting levels of compliance and data privacy that EMEA has rigorous standards for. And I think if you look at Commvault as a company, you know we take our customer's data extremely seriously. We've got one channels to get this right as Janet said, and I expect our customers absolutely expect and deserve right first time. And so when we launch a product like Metallic with the diversity of workloads, the rigorous high performance and secure environments, we want to make sure it's tested properly, it's compliant in all the jurisdictions. And even in Europe, we think about Europe, it's not one given country, even the EU have different countries with different legal and tax nuances. We want to make sure that when our customers get Metallic, 'cause our customers thankfully first launch in EMEA now can. That purchasing, that user experience is seamless sales and frictionless, and the product stands the promises that we make to those customers. So fully behind half phased release for Metallic as are some of our initial early adopter customers in the geographies that we've launched in already. >> So let's talk about some of the massive changes that we've all experienced since last year, Mark I would stick with you, talk to us about some of the changes that you seen from EMEA customers with respect to data protection and data security 'cause we've seen a lot of things going on globally, ransomware on the rise, every 11 seconds there's a ransomware attack. What are some of the recent challenges that you're hearing from customers that you believe Metallic EMEA is going to resolve? >> Yeah, I mean certainly even before the current COVID crisis, we were seeing a huge increase in uptake of customers wanting to use SaaS applications and to protect SaaS workloads. And the growth thing adoption of Office 365 clearly has driven the need for compelling SaaS based solutions for that market. You overlay on that, the situation that COVID has created for us all. Which in reality is denying our customers with its two most valuable important assets, access to premises and access to staff. And increasingly the staff it does have access to a storing, protecting, generating and creating data, not in the data center, not in the cloud but on laptops. So really for us it's a perfect opportunity and we're seeing an increase in demand from our customers wanting rapid solutions to protecting and managing data, to have low footprint in terms of skills and staff and to reduce the need for them to buy physical infrastructure and to expand an already at capacity set premises. And in many cases they can't even get access to, so it's very much a perfect storm for the solution that Metallic provides. >> Yeah Janet, following onto that and just in terms of when Mark mentioned, you know especially when this first happened, not being able to get access to the premises, this massive pivot to work from home and suddenly millions of endpoints scattered globally. Talk to us about some of the things that you saw here in North America in terms of customer demands changing. >> Oh that's a great question, we absolutely saw changes. I mean I go back to what Satya Nadella said, the CEO of Microsoft. He even said in April and may that what we are seeing is two years of digital transformation happening in a two month period. And that's absolutely what we're seeing, so the interest in fact as Mark mentioned, and then interest in protecting endpoints, your laptops and your desktop, as you have an increasingly remote and distributed workforce has completely changed. I mean when we spoke to you last year ago, we had endpoint backup more for completeness to round out our portfolio. We didn't expect it to be a lead offering and take off the way it has. But now with the changes everyone's seeing and with what IT teams need to do with what security teams and cloud architects need to do, we're absolutely seeing that need for endpoint protection grow. >> Yeah, and just to add to that Lisa is the endpoint potentially is also seeing a change and a shift in the types of markets that are looking to Metallic as a solution, recall that we originally targeted Metallic and SMB mid market, market where people were looking for simple, predictable, low cost but yet still scalable infrastructure. The massive drive to protect endpoints and to maintain compliance and control of data there, is actually driving large enterprise customers to Commvault and Metallic as a solution for protecting not hundreds of endpoints, not thousands, not tens of thousands but hundreds of thousands of endpoints for some of the customers that we're not talking to. >> And that's probably going to be something that we see becomes permanent. You know we're seeing so many leaders, Satya Nadella you mentioned Janet, we've heard other ones, Antonio Neri from HPE saying you know I expect at least 50% of the workforce to stay remote. So this is... Was a big need, it was a big boom and a good amount of this is probably not going to change. How is Metallic positioned to help your customers not just survive this time but be able to thrive and become the winners of tomorrow? >> I think one real advantage of Metallic is the two technologies that it's built on top of, one is Metallic part of Commvault, so what we can do is evolve with the needs of our customers, take all that IP, all those patents decide what workloads are going to help our customers through this times and release those as new offerings delivered as PaaS, it allows us to be agile and to pivot as needed. And that's what you see as I said we're doubling our product offering, we're taking that feedback in real time and that's something we'll be announcing very soon, next month. In addition to that, we're also build on top of Microsoft Azure. So we're leveraging certainly their enterprise scalability, the trust and security that they have because we're really something that flexes from the one terabyte dataset to the 10,000 terabyte as you're looking to scale and protect your infrastructure. So we are poised to take on that agility, that time like these demand. >> Do you think, oh go ahead Mark. >> I think just to add to that as well is if you look at our existing customers that have been traditionally using on-prem Commvault complete software or they bought on a perpetual or subscription basis. A number of those have been looking for Metallic to protect some specific workloads, like endpoint for example, but the way we've done this is, the Metallic solution on the on-prem solution are manageable from a single Commvault interface, a command central interface. So it's not a temporary decision to move to SaaS and then that customer then has to move it back in order to control and manage it in an on-prem environment. They get the best of both worlds from two solutions fit for the purpose they are intended from a company that has a 20 year reputation in designing, building and selling scalable, secure data protection infrastructure. >> Reasonable question in terms of the management console. So for example Mark, the situation that you're talking about customers that may have been using Commvault on-prem for a long time now have had in the last year and now in EMEA the opportunity to leverage SaaS data protection for Office Microsoft 365 for example, endpoints. Talk to me a little bit about the management of that, if a customer, legacy Commvault customer has been using on-prem and now they add Metallic for SaaS, data protection for say Microsoft 365, is that managed by a single console? >> Exactly, it's managed by a command center console. So they can see, manage, control report, all of data that exists within the Metallic SaaS based solution, and that sits within that on-prem or their hybrid cloud environment, giving them that, that total flexibility. And with the recent announcement, the launch earlier in October of MCSS on Microsoft, sorry at Metallic Cloud Storage Solution, that also helps their customers that aren't yet looking to move to metallic, to make the step, to put some of their on-prem data rapidly and easily into cloud as a target, as a metallic cloud storage service. And that's a future stepping stone to a full metallic software as a service solution, should they so choose for a 365 or endpoint? So we're giving customers the ability to move from self-manage to fully managed with a SaaS solution in the middle. >> And for that target market perspective, Mark, some of the things that we've seen globally that are new targets, you mentioned ransomware on the rise, healthcare organizations, schools and governments, are there any specific industries that are going to be leading edge for Metallic in EMEA. >> What we've seen from the initial market data and the market uptake by segment from the America's names that launched is interest from every sector, but a particular interest from the sectors where technology is a key differentiator, particularly finance, banking, insurance, and the telco sector, the tech sector and the retail sector. Interestingly enough, we're also seeing in the government and public services sector from our recent Azure launch and some of the demand and interest in EMEA is validating this, customers in public sector organizations, central and local government who traditionally have been fixated on the CapEx buying model and on-prem solutions, moving and starting to look increasingly at SaaS to get solutions up running, protected and secured rapidly in the cloud. And so we're seeing an encouraging up-taking public sector organizations, which are using SaaS as a way to move from CapEx to OPEX models which is particularly reassuring. >> And Janet question for you if we look at data protection as a service, the fastest growing market segment rather in data protection market, what are some of the things that knowing Metallic's first year in the evolution, the changes that the world has seen, but also this demand for data protection as a service, what are some of the things that we can expect in Metallic's second year? >> Yeah so, first you're absolutely right. Data protection as a service is becoming increasingly popular. You know these are cloud based solutions, also known as backup as a service. And I think what we're finding as we talk to customers is everyone has a cloud based initiative, whether they're starting it or they're well on their way. So having a data protection as a service solution like Metallic can either be your first move into the cloud starting with your backup targets and leveraging MCSS as Mark explained as one way to do that, or it can just be another point in a customer's hybrid story. How they're starting to leverage data protection as a service, SaaS delivery. And there's this whole notion now of SaaS for SaaS. Now you need SaaS backup for your SaaS application to follow how the data moves, and that's what we're doing for Office 365. In the second year, we're certainly aiming to continue increasing our workload, supported the products that... And continuing our geo-expansion as we are right now with the EMEA, this is certainly critical as we continue. We'll also be looking to engage local partners, we work with resellers and distributors today, and we're also going to continue expanding our offerings in Azure marketplace. We went live in Azure marketplace last quarter and we're seeing transactions come through there and we want to continue building out our marketplace model as well. >> Last question Janet, you mentioned SaaS for SaaS and there's been a lot of talk about that recently with customers in every segment. And there was this sort of this a shared responsibility model that Microsoft has in Salesforce right in box. But it's been interesting and a lot of customers I've spoken with in the last few months in salesforce ended support for the data recovery service I think in end of July going, wait we thought it was in the cloud, we have to back it up. So is that another direction in terms of Metallics future of being able to protect more types of SaaS workloads besides Microsoft 365? >> Well that's certainly the idea and starting with Office 365, is how do we compliment what Microsoft already offers. Office 365 Salesforce, all of these tools, they are workflow tools, they're integral in organizations or they're just holding critical data. So how do we compliment that through data backup and protection that give them the controls they need. Whether it's policy customization, smart configurations to help them through this and now E discovery on top to be able to search and manage compliance needs. So we really want to be that kind of extra security blanket for all of these SaaS applications and that's really what we're aiming to do over time but Office 365 is our focus right now. >> Yeah, I think just pick out Lisa on Janet's point about the two points of scale for us about scaling out and launching in new markets and bringing new workloads into the Metallic portfolio. You know one of the things that we understand is we clearly we've seen significant demand for Office 365 and endpoint ussually as for Metallic. But let's also not lose sight of the fact that a number of organizations are coming to us to protect their VMs and their file server environments so being initially in small environments. And they're starting to ask us specifically about our plans to incorporate additional enterprise type on-prem workloads in a Metallic environment. And the fact that we've built 20 years of expertise in IOP in that space, we've been probably the quickest to launch the most innovative and wide this range of workloads in our on-prem and subscription based software makes it far easier for us to pivot and to extend over time rapidly, the workloads that Metallic supports for customers wanting to move traditionally on-prem workloads. That I'll just say 365 endpoint but VMs and other database workloads into the cloud. And that's a unique differentiator for where Metallic can take our customers, not just geographically but in terms of the diversity of workloads that we'll be able to cover. >> Great point Mark, absolutely. >> Well thank you both for explaining the evolution of Metallic, A Commvault Venture in its first year, giving us an insight into some of the recent new announcements and a peek into what's to come. Janet, Mark, we appreciate your time. >> Yeah, thank you. >> That's being a pleasure, thank you. >> For my guests, I'm Lisa Martin, you're watching theCUBE conversation. (upbeat music)

Published Date : Oct 28 2020

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around the world, this Giesen, the VP of Operations the EMEA VP of Technical great to be here with you. so happy birthday to Metallic. One of the things we did, we I know that the cloud market... and then we expanded to and the product stands the promises the changes that you seen and to reduce the need for them the things that you saw here and take off the way it has. Yeah, and just to add to that Lisa and become the winners of tomorrow? and to pivot as needed. Do you think, but the way we've done this and now in EMEA the opportunity the ability to move that are going to be leading and some of the demand and we want to continue building of being able to protect more types and protection that give but in terms of the diversity of workloads of the recent new announcements thank you. you're watching theCUBE conversation.

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Kubernetes on Any Infrastructure Top to Bottom Tutorials for Docker Enterprise Container Cloud


 

>>all right, We're five minutes after the hour. That's all aboard. Who's coming aboard? Welcome everyone to the tutorial track for our launchpad of them. So for the next couple of hours, we've got a SYRIZA videos and experts on hand to answer questions about our new product, Doctor Enterprise Container Cloud. Before we jump into the videos and the technology, I just want to introduce myself and my other emcee for the session. I'm Bill Milks. I run curriculum development for Mirant us on. And >>I'm Bruce Basil Matthews. I'm the Western regional Solutions architect for Moran Tissue esa and welcome to everyone to this lovely launchpad oven event. >>We're lucky to have you with us proof. At least somebody on the call knows something about your enterprise Computer club. Um, speaking of people that know about Dr Enterprise Container Cloud, make sure that you've got a window open to the chat for this session. We've got a number of our engineers available and on hand to answer your questions live as we go through these videos and disgusting problem. So that's us, I guess, for Dr Enterprise Container Cloud, this is Mirant asses brand new product for bootstrapping Doctor Enterprise Kubernetes clusters at scale Anything. The airport Abu's? >>No, just that I think that we're trying Thio. Uh, let's see. Hold on. I think that we're trying Teoh give you a foundation against which to give this stuff a go yourself. And that's really the key to this thing is to provide some, you know, many training and education in a very condensed period. So, >>yeah, that's exactly what you're going to see. The SYRIZA videos we have today. We're going to focus on your first steps with Dr Enterprise Container Cloud from installing it to bootstrapping your regional child clusters so that by the end of the tutorial content today, you're gonna be prepared to spin up your first documentary prize clusters using documented prize container class. So just a little bit of logistics for the session. We're going to run through these tutorials twice. We're gonna do one run through starting seven minutes ago up until I guess it will be ten fifteen Pacific time. Then we're gonna run through the whole thing again. So if you've got other colleagues that weren't able to join right at the top of the hour and would like to jump in from the beginning, ten. Fifteen Pacific time. We're gonna do the whole thing over again. So if you want to see the videos twice, you got public friends and colleagues that, you know you wanna pull in for a second chance to see this stuff, we're gonna do it all. All twice. Yeah, this session. Any any logistics I should add, Bruce that No, >>I think that's that's pretty much what we had to nail down here. But let's zoom dash into those, uh, feature films. >>Let's do Edmonds. And like I said, don't be shy. Feel free to ask questions in the chat or engineers and boosting myself are standing by to answer your questions. So let me just tee up the first video here and walk their cost. Yeah. Mhm. Yes. Sorry. And here we go. So our first video here is gonna be about installing the Doctor Enterprise Container Club Management cluster. So I like to think of the management cluster as like your mothership, right? This is what you're gonna use to deploy all those little child clusters that you're gonna use is like, Come on it as clusters downstream. So the management costs was always our first step. Let's jump in there >>now. We have to give this brief little pause >>with no good day video. Focus for this demo will be the initial bootstrap of the management cluster in the first regional clusters to support AWS deployments. The management cluster provides the core functionality, including identity management, authentication, infantry release version. The regional cluster provides the specific architecture provided in this case, eight of us and the Elsie um, components on the UCP Cluster Child cluster is the cluster or clusters being deployed and managed. The deployment is broken up into five phases. The first phase is preparing a big strap note on this dependencies on handling with download of the bridge struck tools. The second phase is obtaining America's license file. Third phase. Prepare the AWS credentials instead of the adduce environment. The fourth configuring the deployment, defining things like the machine types on the fifth phase. Run the bootstrap script and wait for the deployment to complete. Okay, so here we're sitting up the strap node, just checking that it's clean and clear and ready to go there. No credentials already set up on that particular note. Now we're just checking through AWS to make sure that the account we want to use we have the correct credentials on the correct roles set up and validating that there are no instances currently set up in easy to instance, not completely necessary, but just helps keep things clean and tidy when I am perspective. Right. So next step, we're just going to check that we can, from the bootstrap note, reach more antis, get to the repositories where the various components of the system are available. They're good. No areas here. Yeah, right now we're going to start sitting at the bootstrap note itself. So we're downloading the cars release, get get cars, script, and then next, we're going to run it. I'm in. Deploy it. Changing into that big struck folder. Just making see what's there. Right now we have no license file, so we're gonna get the license filed. Oh, okay. Get the license file through the more antis downloads site, signing up here, downloading that license file and putting it into the Carisbrook struck folder. Okay, Once we've done that, we can now go ahead with the rest of the deployment. See that the follow is there. Uh, huh? That's again checking that we can now reach E C two, which is extremely important for the deployment. Just validation steps as we move through the process. All right, The next big step is valid in all of our AWS credentials. So the first thing is, we need those route credentials which we're going to export on the command line. This is to create the necessary bootstrap user on AWS credentials for the completion off the deployment we're now running an AWS policy create. So it is part of that is creating our Food trucks script, creating the mystery policy files on top of AWS, Just generally preparing the environment using a cloud formation script you'll see in a second will give a new policy confirmations just waiting for it to complete. Yeah, and there is done. It's gonna have a look at the AWS console. You can see that we're creative completed. Now we can go and get the credentials that we created Today I am console. Go to that new user that's being created. We'll go to the section on security credentials and creating new keys. Download that information media Access key I D and the secret access key. We went, Yeah, usually then exported on the command line. Okay. Couple of things to Notre. Ensure that you're using the correct AWS region on ensure that in the conflict file you put the correct Am I in for that region? I'm sure you have it together in a second. Yes. Okay, that's the key. Secret X key. Right on. Let's kick it off. Yeah, So this process takes between thirty and forty five minutes. Handles all the AWS dependencies for you, and as we go through, the process will show you how you can track it. Andi will start to see things like the running instances being created on the west side. The first phase off this whole process happening in the background is the creation of a local kind based bootstrapped cluster on the bootstrap node that clusters then used to deploy and manage all the various instances and configurations within AWS. At the end of the process, that cluster is copied into the new cluster on AWS and then shut down that local cluster essentially moving itself over. Okay. Local clusters boat just waiting for the various objects to get ready. Standard communities objects here Okay, so we speed up this process a little bit just for demonstration purposes. Yeah. There we go. So first note is being built the best in host. Just jump box that will allow us access to the entire environment. Yeah, In a few seconds, we'll see those instances here in the US console on the right. Um, the failures that you're seeing around failed to get the I. P for Bastian is just the weight state while we wait for a W s to create the instance. Okay. Yes. Here, beauty there. Okay. Mhm. Okay. Yeah, yeah. Okay. On there. We got question. Host has been built on three instances for the management clusters have now been created. We're going through the process of preparing. Those nodes were now copying everything over. See that? The scaling up of controllers in the big Strap cluster? It's indicating that we're starting all of the controllers in the new question. Almost there. Yeah. Yeah, just waiting for key. Clark. Uh huh. Start to finish up. Yeah. No. What? Now we're shutting down control this on the local bootstrap node on preparing our I. D. C. Configuration. Fourth indication, soon as this is completed. Last phase will be to deploy stack light into the new cluster the last time Monitoring tool set way Go stack like to plan It has started. Mhm coming to the end of the deployment Mountain. Yeah, America. Final phase of the deployment. Onda, We are done. Okay, You'll see. At the end they're providing us the details of you. I log in so there's a keeper clogging. You can modify that initial default password is part of the configuration set up with one documentation way. Go Councils up way can log in. Yeah, yeah, thank you very much for watching. >>Excellent. So in that video are wonderful field CTO Shauna Vera bootstrapped up management costume for Dr Enterprise Container Cloud Bruce, where exactly does that leave us? So now we've got this management costume installed like what's next? >>So primarily the foundation for being able to deploy either regional clusters that will then allow you to support child clusters. Uh, comes into play the next piece of what we're going to show, I think with Sean O'Mara doing this is the child cluster capability, which allows you to then deploy your application services on the local cluster. That's being managed by the ah ah management cluster that we just created with the bootstrap. >>Right? So this cluster isn't yet for workloads. This is just for bootstrapping up the downstream clusters. Those or what we're gonna use for workings. >>Exactly. Yeah. And I just wanted to point out, since Sean O'Mara isn't around, toe, actually answer questions. I could listen to that guy. Read the phone book, and it would be interesting, but anyway, you can tell him I said that >>he's watching right now, Crusoe. Good. Um, cool. So and just to make sure I understood what Sean was describing their that bootstrap er knows that you, like, ran document fresh pretender Cloud from to begin with. That's actually creating a kind kubernetes deployment kubernetes and Docker deployment locally. That then hits the AWS a p i in this example that make those e c two instances, and it makes like a three manager kubernetes cluster there, and then it, like, copies itself over toe those communities managers. >>Yeah, and and that's sort of where the transition happens. You can actually see it. The output that when it says I'm pivoting, I'm pivoting from my local kind deployment of cluster AP, I toothy, uh, cluster, that's that's being created inside of AWS or, quite frankly, inside of open stack or inside of bare metal or inside of it. The targeting is, uh, abstracted. Yeah, but >>those air three environments that we're looking at right now, right? Us bare metal in open staff environments. So does that kind cluster on the bootstrap er go away afterwards. You don't need that afterwards. Yeah, that is just temporary. To get things bootstrapped, then you manage things from management cluster on aws in this example? >>Yeah. Yeah. The seed, uh, cloud that post the bootstrap is not required anymore. And there's no, uh, interplay between them after that. So that there's no dependencies on any of the clouds that get created thereafter. >>Yeah, that actually reminds me of how we bootstrapped doctor enterprise back in the day, be a temporary container that would bootstrap all the other containers. Go away. It's, uh, so sort of a similar, similar temporary transient bootstrapping model. Cool. Excellent. What will convict there? It looked like there wasn't a ton, right? It looked like you had to, like, set up some AWS parameters like credentials and region and stuff like that. But other than that, that looked like heavily script herbal like there wasn't a ton of point and click there. >>Yeah, very much so. It's pretty straightforward from a bootstrapping standpoint, The config file that that's generated the template is fairly straightforward and targeted towards of a small medium or large, um, deployment. And by editing that single file and then gathering license file and all of the things that Sean went through, um, that that it makes it fairly easy to script >>this. And if I understood correctly as well that three manager footprint for your management cluster, that's the minimum, right. We always insist on high availability for this management cluster because boy do not wanna see oh, >>right, right. And you know, there's all kinds of persistent data that needs to be available, regardless of whether one of the notes goes down or not. So we're taking care of all of that for you behind the scenes without you having toe worry about it as a developer. >>No, I think there's that's a theme that I think will come back to throughout the rest of this tutorial session today is there's a lot of there's a lot of expertise baked him to Dr Enterprise Container Cloud in terms of implementing best practices for you like the defaulter, just the best practices of how you should be managing these clusters, Miss Seymour. Examples of that is the day goes on. Any interesting questions you want to call out from the chap who's >>well, there was. Yeah, yeah, there was one that we had responded to earlier about the fact that it's a management cluster that then conduce oh, either the the regional cluster or a local child molester. The child clusters, in each case host the application services, >>right? So at this point, we've got, in some sense, like the simplest architectures for our documentary prize Container Cloud. We've got the management cluster, and we're gonna go straight with child cluster. In the next video, there's a more sophisticated architecture, which will also proper today that inserts another layer between those two regional clusters. If you need to manage regions like across a BS, reads across with these documents anything, >>yeah, that that local support for the child cluster makes it a lot easier for you to manage the individual clusters themselves and to take advantage of our observation. I'll support systems a stack light and things like that for each one of clusters locally, as opposed to having to centralize thumb >>eso. It's a couple of good questions. In the chat here, someone was asking for the instructions to do this themselves. I strongly encourage you to do so. That should be in the docks, which I think Dale helpfully thank you. Dale provided links for that's all publicly available right now. So just head on in, head on into the docks like the Dale provided here. You can follow this example yourself. All you need is a Mirante license for this and your AWS credentials. There was a question from many a hear about deploying this toe azure. Not at G. Not at this time. >>Yeah, although that is coming. That's going to be in a very near term release. >>I didn't wanna make promises for product, but I'm not too surprised that she's gonna be targeted. Very bracing. Cool. Okay. Any other thoughts on this one does. >>No, just that the fact that we're running through these individual pieces of the steps Well, I'm sure help you folks. If you go to the link that, uh, the gentleman had put into the chat, um, giving you the step by staff. Um, it makes it fairly straightforward to try this yourselves. >>E strongly encourage that, right? That's when you really start to internalize this stuff. OK, but before we move on to the next video, let's just make sure everyone has a clear picture in your mind of, like, where we are in the life cycle here creating this management cluster. Just stop me if I'm wrong. Who's creating this management cluster is like, you do that once, right? That's when your first setting up your doctor enterprise container cloud environment of system. What we're going to start seeing next is creating child clusters and this is what you're gonna be doing over and over and over again. When you need to create a cluster for this Deb team or, you know, this other team river it is that needs commodity. Doctor Enterprise clusters create these easy on half will. So this was once to set up Dr Enterprise Container Cloud Child clusters, which we're going to see next. We're gonna do over and over and over again. So let's go to that video and see just how straightforward it is to spin up a doctor enterprise cluster for work clothes as a child cluster. Undocumented brands contain >>Hello. In this demo, we will cover the deployment experience of creating a new child cluster, the scaling of the cluster and how to update the cluster. When a new version is available, we begin the process by logging onto the you I as a normal user called Mary. Let's go through the navigation of the U I so you can switch. Project Mary only has access to development. Get a list of the available projects that you have access to. What clusters have been deployed at the moment there. Nan Yes, this H Keys Associate ID for Mary into her team on the cloud credentials that allow you to create access the various clouds that you can deploy clusters to finally different releases that are available to us. We can switch from dark mode to light mode, depending on your preferences, Right? Let's now set up semester search keys for Mary so she can access the notes and machines again. Very simply, had Mississippi key give it a name, we copy and paste our public key into the upload key block. Or we can upload the key if we have the file available on our local machine. A simple process. So to create a new cluster, we define the cluster ad management nodes and add worker nodes to the cluster. Yeah, again, very simply, you go to the clusters tab. We hit the create cluster button. Give the cluster name. Yeah, Andi, select the provider. We only have access to AWS in this particular deployment, so we'll stick to AWS. What's like the region in this case? US West one release version five point seven is the current release Onda Attach. Mary's Key is necessary Key. We can then check the rest of the settings, confirming the provider Any kubernetes c r D r I p address information. We can change this. Should we wish to? We'll leave it default for now on. Then what components? A stack light I would like to deploy into my Custer. For this. I'm enabling stack light on logging on Aiken. Sit up the retention sizes Attention times on. Even at this stage, at any customer alerts for the watchdogs. E consider email alerting which I will need my smart host details and authentication details. Andi Slack Alerts. Now I'm defining the cluster. All that's happened is the cluster's been defined. I now need to add machines to that cluster. I'll begin by clicking the create machine button within the cluster definition. Oh, select manager, Select the number of machines. Three is the minimum. Select the instant size that I'd like to use from AWS and very importantly, ensure correct. Use the correct Am I for the region. I commend side on the route device size. There we go, my three machines obviously creating. I now need to add some workers to this custom. So I go through the same process this time once again, just selecting worker. I'll just add to once again, the AM is extremely important. Will fail if we don't pick the right, Am I for a boon to machine in this case and the deployment has started. We can go and check on the bold status are going back to the clusters screen on clicking on the little three dots on the right. We get the cluster info and the events, so the basic cluster info you'll see pending their listen cluster is still in the process of being built. We kick on, the events will get a list of actions that have been completed This part of the set up of the cluster. So you can see here we've created the VPC. We've created the sub nets on We've created the Internet gateway. It's unnecessary made of us and we have no warnings of the stage. Yeah, this will then run for a while. We have one minute past waken click through. We can check the status of the machine bulls as individuals so we can check the machine info, details of the machines that we've assigned, right? Mhm Onda. See any events pertaining to the machine areas like this one on normal? Yeah. Just watch asked. The community's components are waiting for the machines to start. Go back to Custer's. Okay, right. Because we're moving ahead now. We can see we have it in progress. Five minutes in new Matt Gateway on the stage. The machines have been built on assigned. I pick up the U. S. Thank you. Yeah. There we go. Machine has been created. See the event detail and the AWS. I'd for that machine. Mhm. No speeding things up a little bit. This whole process and to end takes about fifteen minutes. Run the clock forward, you'll notice is the machines continue to bold the in progress. We'll go from in progress to ready. A soon as we got ready on all three machines, the managers on both workers way could go on and we could see that now we reached the point where the cluster itself is being configured. Mhm, mhm. And then we go. Cluster has been deployed. So once the classes deployed, we can now never get around our environment. Okay, Are cooking into configure cluster We could modify their cluster. We could get the end points for alert alert manager on See here The griffon occupying and Prometheus are still building in the background but the cluster is available on you would be able to put workloads on it the stretch to download the cube conflict so that I can put workloads on it. It's again three little dots in the right for that particular cluster. If the download cube conflict give it my password, I now have the Q conflict file necessary so that I can access that cluster Mhm all right Now that the build is fully completed, we can check out cluster info on. We can see that Allow the satellite components have been built. All the storage is there, and we have access to the CPU. I So if we click into the cluster, we can access the UCP dashboard, right? Shit. Click the signing with Detroit button to use the SSO on. We give Mary's possible to use the name once again. Thing is, an unlicensed cluster way could license at this point. Or just skip it on. There. We have the UCP dashboard. You can see that has been up for a little while. We have some data on the dashboard going back to the console. We can now go to the griffon, a data just being automatically pre configured for us. We can switch and utilized a number of different dashboards that have already been instrumented within the cluster. So, for example, communities cluster information, the name spaces, deployments, nodes. Mhm. So we look at nodes. If we could get a view of the resource is utilization of Mrs Custer is very little running in it. Yeah. General dashboard of Cuba navies cluster one of this is configurable. You can modify these for your own needs, or add your own dashboards on de scoped to the cluster. So it is available to all users who have access to this specific cluster, all right to scale the cluster on to add a notice. A simple is the process of adding a mode to the cluster, assuming we've done that in the first place. So we go to the cluster, go into the details for the cluster we select, create machine. Once again, we need to be ensure that we put the correct am I in and any other functions we like. You can create different sized machines so it could be a larger node. Could be bigger disks and you'll see that worker has been added from the provisioning state on shortly. We will see the detail off that worker as a complete to remove a note from a cluster. Once again, we're going to the cluster. We select the node would like to remove. Okay, I just hit delete On that note. Worker nodes will be removed from the cluster using according and drawing method to ensure that your workouts are not affected. Updating a cluster. When an update is available in the menu for that particular cluster, the update button will become available. And it's a simple as clicking the button, validating which release you would like to update to. In this case, the next available releases five point seven point one. Here I'm kicking the update by in the background We will coordinate. Drain each node slowly go through the process of updating it. Andi update will complete depending on what the update is as quickly as possible. Girl, we go. The notes being rebuilt in this case impacted the manager node. So one of the manager nodes is in the process of being rebuilt. In fact, to in this case, one has completed already on In a few minutes we'll see that there are great has been completed. There we go. Great. Done. Yeah. If you work loads of both using proper cloud native community standards, there will be no impact. >>Excellent. So at this point, we've now got a cluster ready to start taking our communities of workloads. He started playing or APs to that costume. So watching that video, the thing that jumped out to me at first Waas like the inputs that go into defining this workload cost of it. All right, so we have to make sure we were using on appropriate am I for that kind of defines the substrate about what we're gonna be deploying our cluster on top of. But there's very little requirements. A so far as I could tell on top of that, am I? Because Docker enterprise Container Cloud is gonna bootstrap all the components that you need. That s all we have is kind of kind of really simple bunch box that we were deploying these things on top of so one thing that didn't get dug into too much in the video. But it's just sort of implied. Bruce, maybe you can comment on this is that release that Shawn had to choose for his, uh, for his cluster in creating it. And that release was also the thing we had to touch. Wanted to upgrade part cluster. So you have really sharp eyes. You could see at the end there that when you're doing the release upgrade enlisted out a stack of components docker, engine, kubernetes, calico, aled, different bits and pieces that go into, uh, go into one of these commodity clusters that deploy. And so, as far as I can tell in that case, that's what we mean by a release. In this sense, right? It's the validated stack off container ization and orchestration components that you know we've tested out and make sure it works well, introduction environments. >>Yeah, and and And that's really the focus of our effort is to ensure that any CVS in any of the stack are taken care of that there is a fixes air documented and up streamed to the open stack community source community, um, and and that, you know, then we test for the scaling ability and the reliability in high availability configuration for the clusters themselves. The hosts of your containers. Right. And I think one of the key, uh, you know, benefits that we provide is that ability to let you know, online, high. We've got an update for you, and it's fixes something that maybe you had asked us to fix. Uh, that all comes to you online as your managing your clusters, so you don't have to think about it. It just comes as part of the product. >>You just have to click on Yes. Please give me that update. Uh, not just the individual components, but again. It's that it's that validated stack, right? Not just, you know, component X, y and Z work. But they all work together effectively Scalable security, reliably cool. Um, yeah. So at that point, once we started creating that workload child cluster, of course, we bootstrapped good old universal control plane. Doctor Enterprise. On top of that, Sean had the classic comment there, you know? Yeah. Yeah. You'll see a little warnings and errors or whatever. When you're setting up, UCP don't handle, right, Just let it do its job, and it will converge all its components, you know, after just just a minute or two. But we saw in that video, we sped things up a little bit there just we didn't wait for, you know, progress fighters to complete. But really, in real life, that whole process is that anything so spend up one of those one of those fosters so quite quite quick. >>Yeah, and and I think the the thoroughness with which it goes through its process and re tries and re tries, uh, as you know, and it was evident when we went through the initial ah video of the bootstrapping as well that the processes themselves are self healing, as they are going through. So they will try and retry and wait for the event to complete properly on. And once it's completed properly, then it will go to the next step. >>Absolutely. And the worst thing you could do is panic at the first warning and start tearing things that don't don't do that. Just don't let it let it heal. Let take care of itself. And that's the beauty of these manage solutions is that they bake in a lot of subject matter expertise, right? The decisions that are getting made by those containers is they're bootstrapping themselves, reflect the expertise of the Mirant ISS crew that has been developing this content in these two is free for years and years now, over recognizing humanities. One cool thing there that I really appreciate it actually that it adds on top of Dr Enterprise is that automatic griffon a deployment as well. So, Dr Enterprises, I think everyone knows has had, like, some very high level of statistics baked into its dashboard for years and years now. But you know our customers always wanted a double click on that right to be able to go a little bit deeper. And Griffon are really addresses that it's built in dashboards. That's what's really nice to see. >>Yeah, uh, and all of the alerts and, uh, data are actually captured in a Prometheus database underlying that you have access to so that you are allowed to add new alerts that then go out to touch slack and say hi, You need to watch your disk space on this machine or those kinds of things. Um, and and this is especially helpful for folks who you know, want to manage the application service layer but don't necessarily want to manage the operations side of the house. So it gives them a tool set that they can easily say here, Can you watch these for us? And Miran tas can actually help do that with you, So >>yeah, yeah, I mean, that's just another example of baking in that expert knowledge, right? So you can leverage that without tons and tons of a long ah, long runway of learning about how to do that sort of thing. Just get out of the box right away. There was the other thing, actually, that you could sleep by really quickly if you weren't paying close attention. But Sean mentioned it on the video. And that was how When you use dark enterprise container cloud to scale your cluster, particularly pulling a worker out, it doesn't just like Territo worker down and forget about it. Right? Is using good communities best practices to cordon and drain the No. So you aren't gonna disrupt your workloads? You're going to just have a bunch of containers instantly. Excellent crash. You could really carefully manage the migration of workloads off that cluster has baked right in tow. How? How? Document? The brass container cloud is his handling cluster scale. >>Right? And And the kubernetes, uh, scaling methodology is is he adhered to with all of the proper techniques that ensure that it will tell you. Wait, you've got a container that actually needs three, uh, three, uh, instances of itself. And you don't want to take that out, because that node, it means you'll only be able to have to. And we can't do that. We can't allow that. >>Okay, Very cool. Further thoughts on this video. So should we go to the questions. >>Let's let's go to the questions >>that people have. Uh, there's one good one here, down near the bottom regarding whether an a p I is available to do this. So in all these demos were clicking through this web. You I Yes, this is all a p. I driven. You could do all of this. You know, automate all this away is part of the CSC change. Absolutely. Um, that's kind of the point, right? We want you to be ableto spin up. Come on. I keep calling them commodity clusters. What I mean by that is clusters that you can create and throw away. You know, easily and automatically. So everything you see in these demos eyes exposed to FBI? >>Yeah. In addition, through the standard Cube cuddle, Uh, cli as well. So if you're not a programmer, but you still want to do some scripting Thio, you know, set up things and deploy your applications and things. You can use this standard tool sets that are available to accomplish that. >>There is a good question on scale here. So, like, just how many clusters and what sort of scale of deployments come this kind of support our engineers report back here that we've done in practice up to a Zeman ia's like two hundred clusters. We've deployed on this with two hundred fifty nodes in a cluster. So were, you know, like like I said, hundreds, hundreds of notes, hundreds of clusters managed by documented press container fall and then those downstream clusters, of course, subject to the usual constraints for kubernetes, right? Like default constraints with something like one hundred pods for no or something like that. There's a few different limitations of how many pods you can run on a given cluster that comes to us not from Dr Enterprise Container Cloud, but just from the underlying kubernetes distribution. >>Yeah, E. I mean, I don't think that we constrain any of the capabilities that are available in the, uh, infrastructure deliveries, uh, service within the goober Netease framework. So were, you know, But we are, uh, adhering to the standards that we would want to set to make sure that we're not overloading a node or those kinds of things, >>right. Absolutely cool. Alright. So at this point, we've got kind of a two layered our protection when we are management cluster, but we deployed in the first video. Then we use that to deploy one child clustering work, classroom, uh, for more sophisticated deployments where we might want to manage child clusters across multiple regions. We're gonna add another layer into our architectural we're gonna add in regional cluster management. So this idea you're gonna have the single management cluster that we started within the first video. On the next video, we're gonna learn how to spin up a regional clusters, each one of which would manage, for example, a different AWS uh, US region. So let me just pull out the video for that bill. We'll check it out for me. Mhm. >>Hello. In this demo, we will cover the deployment of additional regional management. Cluster will include a brief architectures of you how to set up the management environment, prepare for the deployment deployment overview and then just to prove it, to play a regional child cluster. So, looking at the overall architecture, the management cluster provides all the core functionality, including identity management, authentication, inventory and release version. ING Regional Cluster provides the specific architecture provider in this case AWS on the LCN components on the D you speak Cluster for child cluster is the cluster or clusters being deployed and managed? Okay, so why do you need a regional cluster? Different platform architectures, for example aws who have been stack even bare metal to simplify connectivity across multiple regions handle complexities like VPNs or one way connectivity through firewalls, but also help clarify availability zones. Yeah. Here we have a view of the regional cluster and how it connects to the management cluster on their components, including items like the LCN cluster Manager we also Machine Manager were held. Mandel are managed as well as the actual provider logic. Mhm. Okay, we'll begin by logging on Is the default administrative user writer. Okay, once we're in there, we'll have a look at the available clusters making sure we switch to the default project which contains the administration clusters. Here we can see the cars management cluster, which is the master controller. And you see, it only has three nodes, three managers, no workers. Okay, if we look at another regional cluster similar to what we're going to deploy now, also only has three managers once again, no workers. But as a comparison, here's a child cluster This one has three managers, but also has additional workers associate it to the cluster. All right, we need to connect. Tell bootstrap note. Preferably the same note that used to create the original management plaster. It's just on AWS, but I still want to machine. All right. A few things we have to do to make sure the environment is ready. First thing we're going to see go into route. We'll go into our releases folder where we have the kozberg struck on. This was the original bootstrap used to build the original management cluster. Yeah, we're going to double check to make sure our cube con figures there once again, the one created after the original customers created just double check. That cute conflict is the correct one. Does point to the management cluster. We're just checking to make sure that we can reach the images that everything is working. A condom. No damages waken access to a swell. Yeah. Next we're gonna edit the machine definitions. What we're doing here is ensuring that for this cluster we have the right machine definitions, including items like the am I. So that's found under the templates AWS directory. We don't need to edit anything else here. But we could change items like the size of the machines attempts. We want to use that The key items to ensure where you changed the am I reference for the junta image is the one for the region in this case AWS region for utilizing this was no construct deployment. We have to make sure we're pointing in the correct open stack images. Yeah, okay. Set the correct and my save file. Now we need to get up credentials again. When we originally created the bootstrap cluster, we got credentials from eight of the U. S. If we hadn't done this, we would need to go through the u A. W s set up. So we're just exporting the AWS access key and I d. What's important is CAAs aws enabled equals. True. Now we're sitting the region for the new regional cluster. In this case, it's Frankfurt on exporting our cube conflict that we want to use for the management cluster. When we looked at earlier Yeah, now we're exporting that. Want to call the cluster region Is Frank Foods Socrates Frankfurt yet trying to use something descriptive It's easy to identify. Yeah, and then after this, we'll just run the bootstrap script, which will complete the deployment for us. Bootstrap of the regional cluster is quite a bit quicker than the initial management clusters. There are fewer components to be deployed. Um, but to make it watchable, we've spent it up. So we're preparing our bootstrap cluster on the local bootstrap node. Almost ready on. We started preparing the instances at W s and waiting for that bastard and no to get started. Please. The best you nerd Onda. We're also starting to build the actual management machines they're now provisioning on. We've reached the point where they're actually starting to deploy. Dr. Enterprise, this is probably the longest face. Yeah, seeing the second that all the nerds will go from the player deployed. Prepare, prepare. Yeah, You'll see their status changes updates. He was the first night ready. Second, just applying second already. Both my time. No waiting from home control. Let's become ready. Removing cluster the management cluster from the bootstrap instance into the new cluster running the date of the U. S. All my stay. Ah, now we're playing Stockland. Switch over is done on. Done. Now I will build a child cluster in the new region very, very quickly to find the cluster will pick. Our new credential has shown up. We'll just call it Frankfurt for simplicity a key and customs to find. That's the machine. That cluster stop with three managers. Set the correct Am I for the region? Yeah, Do the same to add workers. There we go test the building. Yeah. Total bill of time Should be about fifteen minutes. Concedes in progress. It's going to expect this up a little bit. Check the events. We've created all the dependencies, machine instances, machines, a boat shortly. We should have a working cluster in Frankfurt region. Now almost a one note is ready from management. Two in progress. Yeah, on we're done. Clusters up and running. Yeah. >>Excellent. So at this point, we've now got that three tier structure that we talked about before the video. We got that management cluster that we do strapped in the first video. Now we have in this example to different regional clustering one in Frankfurt, one of one management was two different aws regions. And sitting on that you can do Strap up all those Doctor enterprise costumes that we want for our work clothes. >>Yeah, that's the key to this is to be able to have co resident with your actual application service enabled clusters the management co resident with it so that you can, you know, quickly access that he observation Elson Surfboard services like the graph, Ana and that sort of thing for your particular region. A supposed to having to lug back into the home. What did you call it when we started >>the mothership? >>The mothership. Right. So we don't have to go back to the mother ship. We could get >>it locally. Yeah, when, like to that point of aggregating things under a single pane of glass? That's one thing that again kind of sailed by in the demo really quickly. But you'll notice all your different clusters were on that same cluster. Your pain on your doctor Enterprise Container Cloud management. Uh, court. Right. So both your child clusters for running workload and your regional clusters for bootstrapping. Those child clusters were all listed in the same place there. So it's just one pane of glass to go look for, for all of your clusters, >>right? And, uh, this is kind of an important point. I was, I was realizing, as we were going through this. All of the mechanics are actually identical between the bootstrapped cluster of the original services and the bootstrapped cluster of the regional services. It's the management layer of everything so that you only have managers, you don't have workers and that at the child cluster layer below the regional or the management cluster itself, that's where you have the worker nodes. And those are the ones that host the application services in that three tiered architecture that we've now defined >>and another, you know, detail for those that have sharp eyes. In that video, you'll notice when deploying a child clusters. There's not on Lee. A minimum of three managers for high availability management cluster. You must have at least two workers that's just required for workload failure. It's one of those down get out of work. They could potentially step in there, so your minimum foot point one of these child clusters is fine. Violence and scalable, obviously, from a >>That's right. >>Let's take a quick peek of the questions here, see if there's anything we want to call out, then we move on to our last want to my last video. There's another question here about, like where these clusters can live. So again, I know these examples are very aws heavy. Honestly, it's just easy to set up down on the other us. We could do things on bare metal and, uh, open stack departments on Prem. That's what all of this still works in exactly the same way. >>Yeah, the, uh, key to this, especially for the the, uh, child clusters, is the provision hers? Right? See you establish on AWS provision or you establish a bare metal provision or you establish a open stack provision. Or and eventually that list will include all of the other major players in the cloud arena. But you, by selecting the provision or within your management interface, that's where you decide where it's going to be hosted, where the child cluster is to be hosted. >>Speaking off all through a child clusters. Let's jump into our last video in the Siri's, where we'll see how to spin up a child cluster on bare metal. >>Hello. This demo will cover the process of defining bare metal hosts and then review the steps of defining and deploying a bare metal based doctor enterprise cluster. So why bare metal? Firstly, it eliminates hyper visor overhead with performance boost of up to thirty percent. Provides direct access to GP use, prioritize for high performance wear clothes like machine learning and AI, and supports high performance workloads like network functions, virtualization. It also provides a focus on on Prem workloads, simplifying and ensuring we don't need to create the complexity of adding another opera visor. Lay it between so continue on the theme Why Communities and bare metal again Hyper visor overhead. Well, no virtualization overhead. Direct access to hardware items like F p G A s G p us. We can be much more specific about resource is required on the nodes. No need to cater for additional overhead. Uh, we can handle utilization in the scheduling. Better Onda we increase the performances and simplicity of the entire environment as we don't need another virtualization layer. Yeah, In this section will define the BM hosts will create a new project will add the bare metal hosts, including the host name. I put my credentials I pay my address the Mac address on then provide a machine type label to determine what type of machine it is for later use. Okay, let's get started. So well again. Was the operator thing. We'll go and we'll create a project for our machines to be a member off helps with scoping for later on for security. I begin the process of adding machines to that project. Yeah. So the first thing we had to be in post, Yeah, many of the machine A name. Anything you want, que experimental zero one. Provide the IAP my user name type my password. Okay. On the Mac address for the common interface with the boot interface and then the i p m I i p address These machines will be at the time storage worker manager. He's a manager. Yeah, we're gonna add a number of other machines on will. Speed this up just so you could see what the process looks like in the future. Better discovery will be added to the product. Okay. Okay. Getting back there we have it are Six machines have been added, are busy being inspected, being added to the system. Let's have a look at the details of a single note. Yeah, you can see information on the set up of the node. Its capabilities? Yeah. As well as the inventory information about that particular machine. I see. Okay, let's go and create the cluster. Yeah, So we're going to deploy a bare metal child cluster. The process we're going to go through is pretty much the same as any other child cluster. So we'll credit custom. We'll give it a name, but if it were selecting bare metal on the region, we're going to select the version we want to apply. No way. We're going to add this search keys. If we hope we're going to give the load. Balancer host I p that we'd like to use out of dress range on update the address range that we want to use for the cluster. Check that the sea ideal blocks for the Cuban ladies and tunnels are what we want them to be. Enable disabled stack light. Yeah, and soothe stack light settings to find the cluster. And then, as for any other machine, we need to add machines to the cluster. Here. We're focused on building communities clusters, so we're gonna put the count of machines. You want managers? We're gonna pick the label type manager and create three machines is the manager for the Cuban eighties. Casting Okay thing. We're having workers to the same. It's a process. Just making sure that the worker label host level are I'm sorry. On when Wait for the machines to deploy. Let's go through the process of putting the operating system on the notes validating and operating system deploying doctor identifies Make sure that the cluster is up and running and ready to go. Okay, let's review the bold events waken See the machine info now populated with more information about the specifics of things like storage and of course, details of a cluster etcetera. Yeah, yeah, well, now watch the machines go through the various stages from prepared to deploy on what's the cluster build? And that brings us to the end of this particular demo. You can see the process is identical to that of building a normal child cluster we got our complaint is complete. >>All right, so there we have it, deploying a cluster to bare metal. Much the same is how we did for AWS. I guess maybe the biggest different stepwise there is there is that registration face first, right? So rather than just using AWS financials toe magically create PM's in the cloud. You got a point out all your bare metal servers to Dr Enterprise between the cloud and they really come in, I guess three profiles, right? You got your manager profile with a profile storage profile which has been labeled as allocate. Um, crossword cluster has appropriate, >>right? And And I think that the you know, the key differentiator here is that you have more physical control over what, uh, attributes that love your cat, by the way, uh, where you have the different attributes of a server of physical server. So you can, uh, ensure that the SSD configuration on the storage nodes is gonna be taken advantage of in the best way the GP use on the worker nodes and and that the management layer is going to have sufficient horsepower to, um, spin up to to scale up the the environments, as required. One of the things I wanted to mention, though, um, if I could get this out without the choking much better. Um, is that Ah, hey, mentioned the load balancer and I wanted to make sure in defining the load balancer and the load balancer ranges. Um, that is for the top of the the cluster itself. That's the operations of the management, uh, layer integrating with your systems internally to be able to access the the Cube Can figs. I I p address the, uh, in a centralized way. It's not the load balancer that's working within the kubernetes cluster that you are deploying. That's still cube proxy or service mesh, or however you're intending to do it. So, um, it's kind of an interesting step that your initial step in building this, um and we typically use things like metal L B or in gen X or that kind of thing is to establish that before we deploy this bear mental cluster so that it can ride on top of that for the tips and things. >>Very cool. So any other thoughts on what we've seen so far today? Bruce, we've gone through all the different layers. Doctor enterprise container clouds in these videos from our management are regional to our clusters on aws hand bear amount, Of course, with his dad is still available. Closing thoughts before we take just a very short break and run through these demos again. >>You know, I've been very exciting. Ah, doing the presentation with you. I'm really looking forward to doing it the second time, so that we because we've got a good rhythm going about this kind of thing. So I'm looking forward to doing that. But I think that the key elements of what we're trying to convey to the folks out there in the audience that I hope you've gotten out of it is that will that this is an easy enough process that if you follow the step by steps going through the documentation that's been put out in the chat, um, that you'll be able to give this a go yourself, Um, and you don't have to limit yourself toe having physical hardware on prim to try it. You could do it in a ws as we've shown you today. And if you've got some fancy use cases like, uh, you you need a Hadoop And and, uh, you know, cloud oriented ai stuff that providing a bare metal service helps you to get there very fast. So right. Thank you. It's been a pleasure. >>Yeah, thanks everyone for coming out. So, like I said we're going to take a very short, like, three minute break here. Uh, take the opportunity to let your colleagues know if they were in another session or they didn't quite make it to the beginning of this session. Or if you just want to see these demos again, we're going to kick off this demo. Siri's again in just three minutes at ten. Twenty five a. M. Pacific time where we will see all this great stuff again. Let's take a three minute break. I'll see you all back here in just two minutes now, you know. Okay, folks, that's the end of our extremely short break. We'll give people just maybe, like one more minute to trickle in if folks are interested in coming on in and jumping into our demo. Siri's again. Eso For those of you that are just joining us now I'm Bill Mills. I head up curriculum development for the training team here. Moran Tous on Joining me for this session of demos is Bruce. Don't you go ahead and introduce yourself doors, who is still on break? That's cool. We'll give Bruce a minute or two to get back while everyone else trickles back in. There he is. Hello, Bruce. >>How'd that go for you? Okay, >>Very well. So let's kick off our second session here. I e just interest will feel for you. Thio. Let it run over here. >>Alright. Hi. Bruce Matthews here. I'm the Western Regional Solutions architect for Marantz. Use A I'm the one with the gray hair and the glasses. Uh, the handsome one is Bill. So, uh, Bill, take it away. >>Excellent. So over the next hour or so, we've got a Siris of demos that's gonna walk you through your first steps with Dr Enterprise Container Cloud Doctor Enterprise Container Cloud is, of course, Miranda's brand new offering from bootstrapping kubernetes clusters in AWS bare metal open stack. And for the providers in the very near future. So we we've got, you know, just just over an hour left together on this session, uh, if you joined us at the top of the hour back at nine. A. M. Pacific, we went through these demos once already. Let's do them again for everyone else that was only able to jump in right now. Let's go. Our first video where we're gonna install Dr Enterprise container cloud for the very first time and use it to bootstrap management. Cluster Management Cluster, as I like to describe it, is our mother ship that's going to spin up all the other kubernetes clusters, Doctor Enterprise clusters that we're gonna run our workloads on. So I'm gonna do >>I'm so excited. I can hardly wait. >>Let's do it all right to share my video out here. Yeah, let's do it. >>Good day. The focus for this demo will be the initial bootstrap of the management cluster on the first regional clusters. To support AWS deployments, the management cluster provides the core functionality, including identity management, authentication, infantry release version. The regional cluster provides the specific architecture provided in this case AWS and the Elsom components on the UCP cluster Child cluster is the cluster or clusters being deployed and managed. The deployment is broken up into five phases. The first phase is preparing a bootstrap note on its dependencies on handling the download of the bridge struck tools. The second phase is obtaining America's license file. Third phase. Prepare the AWS credentials instead of the ideas environment, the fourth configuring the deployment, defining things like the machine types on the fifth phase, Run the bootstrap script and wait for the deployment to complete. Okay, so here we're sitting up the strap node. Just checking that it's clean and clear and ready to go there. No credentials already set up on that particular note. Now, we're just checking through aws to make sure that the account we want to use we have the correct credentials on the correct roles set up on validating that there are no instances currently set up in easy to instance, not completely necessary, but just helps keep things clean and tidy when I am perspective. Right. So next step, we're just gonna check that we can from the bootstrap note, reach more antis, get to the repositories where the various components of the system are available. They're good. No areas here. Yeah, right now we're going to start sitting at the bootstrap note itself. So we're downloading the cars release, get get cars, script, and then next we're going to run it. Yeah, I've been deployed changing into that big struck folder, just making see what's there right now we have no license file, so we're gonna get the license filed. Okay? Get the license file through more antis downloads site signing up here, downloading that license file and putting it into the Carisbrook struck folder. Okay, since we've done that, we can now go ahead with the rest of the deployment. Yeah, see what the follow is there? Uh huh. Once again, checking that we can now reach E C two, which is extremely important for the deployment. Just validation steps as we move through the process. Alright. Next big step is violating all of our AWS credentials. So the first thing is, we need those route credentials which we're going to export on the command line. This is to create the necessary bootstrap user on AWS credentials for the completion off the deployment we're now running in AWS policy create. So it is part of that is creating our food trucks script. Creating this through policy files onto the AWS, just generally preparing the environment using a cloud formation script, you'll see in a second, I'll give a new policy confirmations just waiting for it to complete. And there is done. It's gonna have a look at the AWS console. You can see that we're creative completed. Now we can go and get the credentials that we created. Good day. I am console. Go to the new user that's being created. We'll go to the section on security credentials and creating new keys. Download that information media access Key I. D and the secret access key, but usually then exported on the command line. Okay, Couple of things to Notre. Ensure that you're using the correct AWS region on ensure that in the conflict file you put the correct Am I in for that region? I'm sure you have it together in a second. Okay, thanks. Is key. So you could X key Right on. Let's kick it off. So this process takes between thirty and forty five minutes. Handles all the AWS dependencies for you. Um, as we go through, the process will show you how you can track it. Andi will start to see things like the running instances being created on the AWS side. The first phase off this whole process happening in the background is the creation of a local kind based bootstrapped cluster on the bootstrap node that clusters then used to deploy and manage all the various instances and configurations within AWS at the end of the process. That cluster is copied into the new cluster on AWS and then shut down that local cluster essentially moving itself over. Yeah, okay. Local clusters boat. Just waiting for the various objects to get ready. Standard communities objects here. Yeah, you mentioned Yeah. So we've speed up this process a little bit just for demonstration purposes. Okay, there we go. So first note is being built the bastion host just jump box that will allow us access to the entire environment. Yeah, In a few seconds, we'll see those instances here in the US console on the right. Um, the failures that you're seeing around failed to get the I. P for Bastian is just the weight state while we wait for AWS to create the instance. Okay. Yeah. Beauty there. Movies. Okay, sketch. Hello? Yeah, Okay. Okay. On. There we go. Question host has been built on three instances for the management clusters have now been created. Okay, We're going through the process of preparing. Those nodes were now copying everything over. See that scaling up of controllers in the big strapped cluster? It's indicating that we're starting all of the controllers in the new question. Almost there. Right? Okay. Just waiting for key. Clark. Uh huh. So finish up. Yeah. No. Now we're shutting down. Control this on the local bootstrap node on preparing our I. D. C configuration, fourth indication. So once this is completed, the last phase will be to deploy stack light into the new cluster, that glass on monitoring tool set, Then we go stack like deployment has started. Mhm. Coming to the end of the deployment mountain. Yeah, they were cut final phase of the deployment. And we are done. Yeah, you'll see. At the end, they're providing us the details of you. I log in. So there's a key Clark log in. Uh, you can modify that initial default possible is part of the configuration set up where they were in the documentation way. Go Councils up way can log in. Yeah. Yeah. Thank you very much for watching. >>All right, so at this point, what we have we got our management cluster spun up, ready to start creating work clusters. So just a couple of points to clarify there to make sure everyone caught that, uh, as advertised. That's darker. Enterprise container cloud management cluster. That's not rework loans. are gonna go right? That is the tool and you're gonna use to start spinning up downstream commodity documentary prize clusters for bootstrapping record too. >>And the seed host that were, uh, talking about the kind cluster dingy actually doesn't have to exist after the bootstrap succeeds eso It's sort of like, uh, copies head from the seed host Toothy targets in AWS spins it up it then boots the the actual clusters and then it goes away too, because it's no longer necessary >>so that bootstrapping know that there's not really any requirements, Hardly on that, right. It just has to be able to reach aws hit that Hit that a p I to spin up those easy to instances because, as you just said, it's just a kubernetes in docker cluster on that piece. Drop note is just gonna get torn down after the set up finishes on. You no longer need that. Everything you're gonna do, you're gonna drive from the single pane of glass provided to you by your management cluster Doctor enterprise Continue cloud. Another thing that I think is sort of interesting their eyes that the convict is fairly minimal. Really? You just need to provide it like aws regions. Um, am I? And that's what is going to spin up that spending that matter faster. >>Right? There is a mammal file in the bootstrap directory itself, and all of the necessary parameters that you would fill in have default set. But you have the option then of going in and defining a different Am I different for a different region, for example? Oh, are different. Size of instance from AWS. >>One thing that people often ask about is the cluster footprint. And so that example you saw they were spitting up a three manager, um, managing cluster as mandatory, right? No single manager set up at all. We want high availability for doctrine Enterprise Container Cloud management. Like so again, just to make sure everyone sort of on board with the life cycle stage that we're at right now. That's the very first thing you're going to do to set up Dr Enterprise Container Cloud. You're going to do it. Hopefully exactly once. Right now, you've got your management cluster running, and they're gonna use that to spend up all your other work clusters Day today has has needed How do we just have a quick look at the questions and then lets take a look at spinning up some of those child clusters. >>Okay, e think they've actually been answered? >>Yeah, for the most part. One thing I'll point out that came up again in the Dail, helpfully pointed out earlier in surgery, pointed out again, is that if you want to try any of the stuff yourself, it's all of the dogs. And so have a look at the chat. There's a links to instructions, so step by step instructions to do each and every thing we're doing here today yourself. I really encourage you to do that. Taking this out for a drive on your own really helps internalizing communicate these ideas after the after launch pad today, Please give this stuff try on your machines. Okay, So at this point, like I said, we've got our management cluster. We're not gonna run workloads there that we're going to start creating child clusters. That's where all of our work and we're gonna go. That's what we're gonna learn how to do in our next video. Cue that up for us. >>I so love Shawn's voice. >>Wasn't that all day? >>Yeah, I watched him read the phone book. >>All right, here we go. Let's now that we have our management cluster set up, let's create a first child work cluster. >>Hello. In this demo, we will cover the deployment experience of creating a new child cluster the scaling of the cluster on how to update the cluster. When a new version is available, we begin the process by logging onto the you I as a normal user called Mary. Let's go through the navigation of the u I. So you can switch Project Mary only has access to development. Uh huh. Get a list of the available projects that you have access to. What clusters have been deployed at the moment there. Man. Yes, this H keys, Associate ID for Mary into her team on the cloud credentials that allow you to create or access the various clouds that you can deploy clusters to finally different releases that are available to us. We can switch from dark mode to light mode, depending on your preferences. Right. Let's now set up some ssh keys for Mary so she can access the notes and machines again. Very simply, had Mississippi key give it a name. We copy and paste our public key into the upload key block. Or we can upload the key if we have the file available on our machine. A very simple process. So to create a new cluster, we define the cluster ad management nodes and add worker nodes to the cluster. Yeah, again, very simply, we got the clusters tab we had to create cluster button. Give the cluster name. Yeah, Andi, select the provider. We only have access to AWS in this particular deployment, so we'll stick to AWS. What's like the region in this case? US West one released version five point seven is the current release Onda Attach. Mary's Key is necessary key. We can then check the rest of the settings, confirming the provider any kubernetes c r D a r i p address information. We can change this. Should we wish to? We'll leave it default for now and then what components of stack light? I would like to deploy into my custom for this. I'm enabling stack light on logging, and I consider the retention sizes attention times on. Even at this stage, add any custom alerts for the watchdogs. Consider email alerting which I will need my smart host. Details and authentication details. Andi Slack Alerts. Now I'm defining the cluster. All that's happened is the cluster's been defined. I now need to add machines to that cluster. I'll begin by clicking the create machine button within the cluster definition. Oh, select manager, Select the number of machines. Three is the minimum. Select the instant size that I'd like to use from AWS and very importantly, ensure correct. Use the correct Am I for the region. I convinced side on the route. Device size. There we go. My three machines are busy creating. I now need to add some workers to this cluster. So I go through the same process this time once again, just selecting worker. I'll just add to once again the am I is extremely important. Will fail if we don't pick the right. Am I for a Clinton machine? In this case and the deployment has started, we can go and check on the bold status are going back to the clusters screen on clicking on the little three dots on the right. We get the cluster info and the events, so the basic cluster info you'll see pending their listen. Cluster is still in the process of being built. We kick on, the events will get a list of actions that have been completed This part of the set up of the cluster. So you can see here. We've created the VPC. We've created the sub nets on. We've created the Internet Gateway. It's unnecessary made of us. And we have no warnings of the stage. Okay, this will then run for a while. We have one minute past. We can click through. We can check the status of the machine balls as individuals so we can check the machine info, details of the machines that we've assigned mhm and see any events pertaining to the machine areas like this one on normal. Yeah. Just last. The community's components are waiting for the machines to start. Go back to customers. Okay, right. Because we're moving ahead now. We can see we have it in progress. Five minutes in new Matt Gateway. And at this stage, the machines have been built on assigned. I pick up the U S. Yeah, yeah, yeah. There we go. Machine has been created. See the event detail and the AWS. I'd for that machine. No speeding things up a little bit this whole process and to end takes about fifteen minutes. Run the clock forward, you'll notice is the machines continue to bold the in progress. We'll go from in progress to ready. A soon as we got ready on all three machines, the managers on both workers way could go on and we could see that now we reached the point where the cluster itself is being configured mhm and then we go. Cluster has been deployed. So once the classes deployed, we can now never get around. Our environment are looking into configure cluster. We could modify their cluster. We could get the end points for alert Alert Manager See here the griffon occupying and Prometheus are still building in the background but the cluster is available on You would be able to put workloads on it at this stage to download the cube conflict so that I can put workloads on it. It's again the three little dots in the right for that particular cluster. If the download cube conflict give it my password, I now have the Q conflict file necessary so that I can access that cluster. All right, Now that the build is fully completed, we can check out cluster info on. We can see that all the satellite components have been built. All the storage is there, and we have access to the CPU. I. So if we click into the cluster, we can access the UCP dashboard, click the signing with the clock button to use the SSO. We give Mary's possible to use the name once again. Thing is an unlicensed cluster way could license at this point. Or just skip it on. Do we have the UCP dashboard? You could see that has been up for a little while. We have some data on the dashboard going back to the console. We can now go to the griffon. A data just been automatically pre configured for us. We can switch and utilized a number of different dashboards that have already been instrumented within the cluster. So, for example, communities cluster information, the name spaces, deployments, nodes. Um, so we look at nodes. If we could get a view of the resource is utilization of Mrs Custer is very little running in it. Yeah, a general dashboard of Cuba Navies cluster. What If this is configurable, you can modify these for your own needs, or add your own dashboards on de scoped to the cluster. So it is available to all users who have access to this specific cluster. All right to scale the cluster on to add a No. This is simple. Is the process of adding a mode to the cluster, assuming we've done that in the first place. So we go to the cluster, go into the details for the cluster we select, create machine. Once again, we need to be ensure that we put the correct am I in and any other functions we like. You can create different sized machines so it could be a larger node. Could be bigger group disks and you'll see that worker has been added in the provisioning state. On shortly, we will see the detail off that worker as a complete to remove a note from a cluster. Once again, we're going to the cluster. We select the node we would like to remove. Okay, I just hit delete On that note. Worker nodes will be removed from the cluster using according and drawing method to ensure that your workloads are not affected. Updating a cluster. When an update is available in the menu for that particular cluster, the update button will become available. And it's a simple as clicking the button validating which release you would like to update to this case. This available releases five point seven point one give you I'm kicking the update back in the background. We will coordinate. Drain each node slowly, go through the process of updating it. Andi update will complete depending on what the update is as quickly as possible. Who we go. The notes being rebuilt in this case impacted the manager node. So one of the manager nodes is in the process of being rebuilt. In fact, to in this case, one has completed already. Yeah, and in a few minutes, we'll see that the upgrade has been completed. There we go. Great. Done. If you work loads of both using proper cloud native community standards, there will be no impact. >>All right, there. We haven't. We got our first workload cluster spun up and managed by Dr Enterprise Container Cloud. So I I loved Shawn's classic warning there. When you're spinning up an actual doctor enterprise deployment, you see little errors and warnings popping up. Just don't touch it. Just leave it alone and let Dr Enterprises self healing properties take care of all those very transient temporary glitches, resolve themselves and leave you with a functioning workload cluster within victims. >>And now, if you think about it that that video was not very long at all. And that's how long it would take you if someone came into you and said, Hey, can you spend up a kubernetes cluster for development development A. Over here, um, it literally would take you a few minutes to thio Accomplish that. And that was with a W s. Obviously, which is sort of, ah, transient resource in the cloud. But you could do exactly the same thing with resource is on Prem or resource is, um physical resource is and will be going through that later in the process. >>Yeah, absolutely one thing that is present in that demo, but that I like to highlight a little bit more because it just kind of glides by Is this notion of, ah, cluster release? So when Sean was creating that cluster, and also when when he was upgrading that cluster, he had to choose a release. What does that didn't really explain? What does that mean? Well, in Dr Enterprise Container Cloud, we have released numbers that capture the entire staff of container ization tools that will be deploying to that workload costume. So that's your version of kubernetes sed cor DNs calico. Doctor Engineer. All the different bits and pieces that not only work independently but are validated toe work together as a staff appropriate for production, humanities, adopted enterprise environments. >>Yep. From the bottom of the stack to the top, we actually test it for scale. Test it for CVS, test it for all of the various things that would, you know, result in issues with you running the application services. And I've got to tell you from having, you know, managed kubernetes deployments and things like that that if you're the one doing it yourself, it can get rather messy. Eso This makes it easy. >>Bruce, you were staying a second ago. They I'll take you at least fifteen minutes to install your release. Custer. Well, sure, but what would all the other bits and pieces you need toe? Not just It's not just about pressing the button to install it, right? It's making the right decision. About what components work? Well, our best tested toe be successful working together has a staff? Absolutely. We this release mechanism and Dr Enterprise Container Cloud. Let's just kind of package up that expert knowledge and make it available in a really straightforward, fashionable species. Uh, pre Confederate release numbers and Bruce is you're pointing out earlier. He's got delivered to us is updates kind of transparent period. When when? When Sean wanted toe update that cluster, he created little update. Custer Button appeared when an update was available. All you gotta do is click. It tells you what Here's your new stack of communities components. It goes ahead. And the straps those components for you? >>Yeah, it actually even displays at the top of the screen. Ah, little header That says you've got an update available. Do you want me to apply? It s o >>Absolutely. Another couple of cool things. I think that are easy to miss in that demo was I really like the on board Bafana that comes along with this stack. So we've been Prometheus Metrics and Dr Enterprise for years and years now. They're very high level. Maybe in in previous versions of Dr Enterprise having those detailed dashboards that Ravana provides, I think that's a great value out there. People always wanted to be ableto zoom in a little bit on that, uh, on those cluster metrics, you're gonna provides them out of the box for us. Yeah, >>that was Ah, really, uh, you know, the joining of the Miranda's and Dr teams together actually spawned us to be able to take the best of what Morantes had in the open stack environment for monitoring and logging and alerting and to do that integration in in a very short period of time so that now we've got it straight across the board for both the kubernetes world and the open stack world. Using the same tool sets >>warm. One other thing I wanna point out about that demo that I think there was some questions about our last go around was that demo was all about creating a managed workplace cluster. So the doctor enterprise Container Cloud managers were using those aws credentials provisioned it toe actually create new e c two instances installed Docker engine stalled. Doctor Enterprise. Remember all that stuff on top of those fresh new VM created and managed by Dr Enterprise contain the cloud. Nothing unique about that. AWS deployments do that on open staff doing on Parramatta stuff as well. Um, there's another flavor here, though in a way to do this for all of our long time doctor Enterprise customers that have been running Doctor Enterprise for years and years. Now, if you got existing UCP points existing doctor enterprise deployments, you plug those in to Dr Enterprise Container Cloud, uh, and use darker enterprise between the cloud to manage those pre existing Oh, working clusters. You don't always have to be strapping straight from Dr Enterprises. Plug in external clusters is bad. >>Yep, the the Cube config elements of the UCP environment. The bundling capability actually gives us a very straightforward methodology. And there's instructions on our website for exactly how thio, uh, bring in import and you see p cluster. Um so it it makes very convenient for our existing customers to take advantage of this new release. >>Absolutely cool. More thoughts on this wonders if we jump onto the next video. >>I think we should move press on >>time marches on here. So let's Let's carry on. So just to recap where we are right now, first video, we create a management cluster. That's what we're gonna use to create All our downstream were closed clusters, which is what we did in this video. Let's maybe the simplest architectures, because that's doing everything in one region on AWS pretty common use case because we want to be able to spin up workload clusters across many regions. And so to do that, we're gonna add a third layer in between the management and work cluster layers. That's gonna be our regional cluster managers. So this is gonna be, uh, our regional management cluster that exists per region that we're going to manage those regional managers will be than the ones responsible for spending part clusters across all these different regions. Let's see it in action in our next video. >>Hello. In this demo, we will cover the deployment of additional regional management. Cluster will include a brief architectural overview, how to set up the management environment, prepare for the deployment deployment overview, and then just to prove it, to play a regional child cluster. So looking at the overall architecture, the management cluster provides all the core functionality, including identity management, authentication, inventory and release version. ING Regional Cluster provides the specific architecture provider in this case, AWS on the L C M components on the d you speak cluster for child cluster is the cluster or clusters being deployed and managed? Okay, so why do you need original cluster? Different platform architectures, for example AWS open stack, even bare metal to simplify connectivity across multiple regions handle complexities like VPNs or one way connectivity through firewalls, but also help clarify availability zones. Yeah. Here we have a view of the regional cluster and how it connects to the management cluster on their components, including items like the LCN cluster Manager. We also machine manager. We're hell Mandel are managed as well as the actual provider logic. Okay, we'll begin by logging on Is the default administrative user writer. Okay, once we're in there, we'll have a look at the available clusters making sure we switch to the default project which contains the administration clusters. Here we can see the cars management cluster, which is the master controller. When you see it only has three nodes, three managers, no workers. Okay, if we look at another regional cluster, similar to what we're going to deploy now. Also only has three managers once again, no workers. But as a comparison is a child cluster. This one has three managers, but also has additional workers associate it to the cluster. Yeah, all right, we need to connect. Tell bootstrap note, preferably the same note that used to create the original management plaster. It's just on AWS, but I still want to machine Mhm. All right, A few things we have to do to make sure the environment is ready. First thing we're gonna pseudo into route. I mean, we'll go into our releases folder where we have the car's boot strap on. This was the original bootstrap used to build the original management cluster. We're going to double check to make sure our cube con figures there It's again. The one created after the original customers created just double check. That cute conflict is the correct one. Does point to the management cluster. We're just checking to make sure that we can reach the images that everything's working, condone, load our images waken access to a swell. Yeah, Next, we're gonna edit the machine definitions what we're doing here is ensuring that for this cluster we have the right machine definitions, including items like the am I So that's found under the templates AWS directory. We don't need to edit anything else here, but we could change items like the size of the machines attempts we want to use but the key items to ensure where changed the am I reference for the junta image is the one for the region in this case aws region of re utilizing. This was an open stack deployment. We have to make sure we're pointing in the correct open stack images. Yeah, yeah. Okay. Sit the correct Am I save the file? Yeah. We need to get up credentials again. When we originally created the bootstrap cluster, we got credentials made of the U. S. If we hadn't done this, we would need to go through the u A. W s set up. So we just exporting AWS access key and I d. What's important is Kaz aws enabled equals. True. Now we're sitting the region for the new regional cluster. In this case, it's Frankfurt on exporting our Q conflict that we want to use for the management cluster when we looked at earlier. Yeah, now we're exporting that. Want to call? The cluster region is Frankfurt's Socrates Frankfurt yet trying to use something descriptive? It's easy to identify. Yeah, and then after this, we'll just run the bootstrap script, which will complete the deployment for us. Bootstrap of the regional cluster is quite a bit quicker than the initial management clusters. There are fewer components to be deployed, but to make it watchable, we've spent it up. So we're preparing our bootstrap cluster on the local bootstrap node. Almost ready on. We started preparing the instances at us and waiting for the past, you know, to get started. Please the best your node, onda. We're also starting to build the actual management machines they're now provisioning on. We've reached the point where they're actually starting to deploy Dr Enterprise, he says. Probably the longest face we'll see in a second that all the nodes will go from the player deployed. Prepare, prepare Mhm. We'll see. Their status changes updates. It was the first word ready. Second, just applying second. Grady, both my time away from home control that's become ready. Removing cluster the management cluster from the bootstrap instance into the new cluster running a data for us? Yeah, almost a on. Now we're playing Stockland. Thanks. Whichever is done on Done. Now we'll build a child cluster in the new region very, very quickly. Find the cluster will pick our new credential have shown up. We'll just call it Frankfurt for simplicity. A key on customers to find. That's the machine. That cluster stop with three manages set the correct Am I for the region? Yeah, Same to add workers. There we go. That's the building. Yeah. Total bill of time. Should be about fifteen minutes. Concedes in progress. Can we expect this up a little bit? Check the events. We've created all the dependencies, machine instances, machines. A boat? Yeah. Shortly. We should have a working caster in the Frankfurt region. Now almost a one note is ready from management. Two in progress. On we're done. Trust us up and running. >>Excellent. There we have it. We've got our three layered doctor enterprise container cloud structure in place now with our management cluster in which we scrap everything else. Our regional clusters which manage individual aws regions and child clusters sitting over depends. >>Yeah, you can. You know you can actually see in the hierarchy the advantages that that presents for folks who have multiple locations where they'd like a geographic locations where they'd like to distribute their clusters so that you can access them or readily co resident with your development teams. Um and, uh, one of the other things I think that's really unique about it is that we provide that same operational support system capability throughout. So you've got stack light monitoring the stack light that's monitoring the stack light down to the actual child clusters that they have >>all through that single pane of glass that shows you all your different clusters, whether their workload cluster like what the child clusters or usual clusters from managing different regions. Cool. Alright, well, time marches on your folks. We've only got a few minutes left and I got one more video in our last video for the session. We're gonna walk through standing up a child cluster on bare metal. So so far, everything we've seen so far has been aws focus. Just because it's kind of easy to make that was on AWS. We don't want to leave you with the impression that that's all we do, we're covering AWS bare metal and open step deployments as well documented Craftsman Cloud. Let's see it in action with a bare metal child cluster. >>We are on the home stretch, >>right. >>Hello. This demo will cover the process of defining bare metal hosts and then review the steps of defining and deploying a bare metal based doctor enterprise cluster. Yeah, so why bare metal? Firstly, it eliminates hyper visor overhead with performance boost of up to thirty percent provides direct access to GP use, prioritize for high performance wear clothes like machine learning and AI, and support high performance workouts like network functions, virtualization. It also provides a focus on on Prem workloads, simplifying and ensuring we don't need to create the complexity of adding another hyper visor layer in between. So continuing on the theme Why communities and bare metal again Hyper visor overhead. Well, no virtualization overhead. Direct access to hardware items like F p g A s G p, us. We can be much more specific about resource is required on the nodes. No need to cater for additional overhead. We can handle utilization in the scheduling better Onda. We increase the performance and simplicity of the entire environment as we don't need another virtualization layer. Yeah, In this section will define the BM hosts will create a new project. Will add the bare metal hosts, including the host name. I put my credentials. I pay my address, Mac address on, then provide a machine type label to determine what type of machine it is. Related use. Okay, let's get started Certain Blufgan was the operator thing. We'll go and we'll create a project for our machines to be a member off. Helps with scoping for later on for security. I begin the process of adding machines to that project. Yeah. Yeah. So the first thing we had to be in post many of the machine a name. Anything you want? Yeah, in this case by mental zero one. Provide the IAP My user name. Type my password? Yeah. On the Mac address for the active, my interface with boot interface and then the i p m i P address. Yeah, these machines. We have the time storage worker manager. He's a manager. We're gonna add a number of other machines on will speed this up just so you could see what the process. Looks like in the future, better discovery will be added to the product. Okay, Okay. Getting back there. We haven't Are Six machines have been added. Are busy being inspected, being added to the system. Let's have a look at the details of a single note. Mhm. We can see information on the set up of the node. Its capabilities? Yeah. As well as the inventory information about that particular machine. Okay, it's going to create the cluster. Mhm. Okay, so we're going to deploy a bare metal child cluster. The process we're going to go through is pretty much the same as any other child cluster. So credit custom. We'll give it a name. Thank you. But he thought were selecting bare metal on the region. We're going to select the version we want to apply on. We're going to add this search keys. If we hope we're going to give the load. Balancer host I p that we'd like to use out of the dress range update the address range that we want to use for the cluster. Check that the sea idea blocks for the communities and tunnels are what we want them to be. Enable disabled stack light and said the stack light settings to find the cluster. And then, as for any other machine, we need to add machines to the cluster. Here we're focused on building communities clusters. So we're gonna put the count of machines. You want managers? We're gonna pick the label type manager on create three machines. Is a manager for the Cuban a disgusting? Yeah, they were having workers to the same. It's a process. Just making sure that the worker label host like you are so yes, on Duin wait for the machines to deploy. Let's go through the process of putting the operating system on the notes, validating that operating system. Deploying Docker enterprise on making sure that the cluster is up and running ready to go. Okay, let's review the bold events. We can see the machine info now populated with more information about the specifics of things like storage. Yeah, of course. Details of a cluster, etcetera. Yeah, Yeah. Okay. Well, now watch the machines go through the various stages from prepared to deploy on what's the cluster build, and that brings us to the end of this particular do my as you can see the process is identical to that of building a normal child cluster we got our complaint is complete. >>Here we have a child cluster on bare metal for folks that wanted to play the stuff on Prem. >>It's ah been an interesting journey taken from the mothership as we started out building ah management cluster and then populating it with a child cluster and then finally creating a regional cluster to spread the geographically the management of our clusters and finally to provide a platform for supporting, you know, ai needs and and big Data needs, uh, you know, thank goodness we're now able to put things like Hadoop on, uh, bare metal thio in containers were pretty exciting. >>Yeah, absolutely. So with this Doctor Enterprise container cloud platform. Hopefully this commoditized scooping clusters, doctor enterprise clusters that could be spun up and use quickly taking provisioning times. You know, from however many months to get new clusters spun up for our teams. Two minutes, right. We saw those clusters gets better. Just a couple of minutes. Excellent. All right, well, thank you, everyone, for joining us for our demo session for Dr Enterprise Container Cloud. Of course, there's many many more things to discuss about this and all of Miranda's products. If you'd like to learn more, if you'd like to get your hands dirty with all of this content, police see us a training don Miranda's dot com, where we can offer you workshops and a number of different formats on our entire line of products and hands on interactive fashion. Thanks, everyone. Enjoy the rest of the launchpad of that >>thank you all enjoy.

Published Date : Sep 17 2020

SUMMARY :

So for the next couple of hours, I'm the Western regional Solutions architect for Moran At least somebody on the call knows something about your enterprise Computer club. And that's really the key to this thing is to provide some, you know, many training clusters so that by the end of the tutorial content today, I think that's that's pretty much what we had to nail down here. So the management costs was always We have to give this brief little pause of the management cluster in the first regional clusters to support AWS deployments. So in that video are wonderful field CTO Shauna Vera bootstrapped So primarily the foundation for being able to deploy So this cluster isn't yet for workloads. Read the phone book, So and just to make sure I understood The output that when it says I'm pivoting, I'm pivoting from on the bootstrap er go away afterwards. So that there's no dependencies on any of the clouds that get created thereafter. Yeah, that actually reminds me of how we bootstrapped doctor enterprise back in the day, The config file that that's generated the template is fairly straightforward We always insist on high availability for this management cluster the scenes without you having toe worry about it as a developer. Examples of that is the day goes on. either the the regional cluster or a We've got the management cluster, and we're gonna go straight with child cluster. as opposed to having to centralize thumb So just head on in, head on into the docks like the Dale provided here. That's going to be in a very near term I didn't wanna make promises for product, but I'm not too surprised that she's gonna be targeted. No, just that the fact that we're running through these individual So let's go to that video and see just how We can check the status of the machine bulls as individuals so we can check the machine the thing that jumped out to me at first Waas like the inputs that go into defining Yeah, and and And that's really the focus of our effort is to ensure that So at that point, once we started creating that workload child cluster, of course, we bootstrapped good old of the bootstrapping as well that the processes themselves are self healing, And the worst thing you could do is panic at the first warning and start tearing things that don't that then go out to touch slack and say hi, You need to watch your disk But Sean mentioned it on the video. And And the kubernetes, uh, scaling methodology is is he adhered So should we go to the questions. Um, that's kind of the point, right? you know, set up things and deploy your applications and things. that comes to us not from Dr Enterprise Container Cloud, but just from the underlying kubernetes distribution. to the standards that we would want to set to make sure that we're not overloading On the next video, we're gonna learn how to spin up a Yeah, Do the same to add workers. We got that management cluster that we do strapped in the first video. Yeah, that's the key to this is to be able to have co resident with So we don't have to go back to the mother ship. So it's just one pane of glass to the bootstrapped cluster of the regional services. and another, you know, detail for those that have sharp eyes. Let's take a quick peek of the questions here, see if there's anything we want to call out, then we move on to our last want all of the other major players in the cloud arena. Let's jump into our last video in the Siri's, So the first thing we had to be in post, Yeah, many of the machine A name. Much the same is how we did for AWS. nodes and and that the management layer is going to have sufficient horsepower to, are regional to our clusters on aws hand bear amount, Of course, with his dad is still available. that's been put out in the chat, um, that you'll be able to give this a go yourself, Uh, take the opportunity to let your colleagues know if they were in another session I e just interest will feel for you. Use A I'm the one with the gray hair and the glasses. And for the providers in the very near future. I can hardly wait. Let's do it all right to share my video So the first thing is, we need those route credentials which we're going to export on the command That is the tool and you're gonna use to start spinning up downstream It just has to be able to reach aws hit that Hit that a p I to spin up those easy to instances because, and all of the necessary parameters that you would fill in have That's the very first thing you're going to Yeah, for the most part. Let's now that we have our management cluster set up, let's create a first We can check the status of the machine balls as individuals so we can check the glitches, resolve themselves and leave you with a functioning workload cluster within exactly the same thing with resource is on Prem or resource is, All the different bits and pieces And I've got to tell you from having, you know, managed kubernetes And the straps those components for you? Yeah, it actually even displays at the top of the screen. I really like the on board Bafana that comes along with this stack. the best of what Morantes had in the open stack environment for monitoring and logging So the doctor enterprise Container Cloud managers were Yep, the the Cube config elements of the UCP environment. More thoughts on this wonders if we jump onto the next video. Let's maybe the simplest architectures, of the regional cluster and how it connects to the management cluster on their components, There we have it. that we provide that same operational support system capability Just because it's kind of easy to make that was on AWS. Just making sure that the worker label host like you are so yes, It's ah been an interesting journey taken from the mothership Enjoy the rest of the launchpad

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Jenny Burcio & John Kreisa, Docker Inc. | CUBE Conversation, April 2020


 

>> Announcer: From theCUBE studios (upbeat music) in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. >> Everyone, welcome to this CUBE Conversation. I'm John Furrier, host of theCUBE here in Palo Alto, California during the COVID-19 current situation. We're here with a skeleton crew, getting the content out there. Wanted to bring a special remote interview to you with two great remote guests, talking about how the digital events, and how the digital interactions are evolving, and how our community's reacting. Got two great guests, John Kreisa, a senior vice president of marketing at Docker, and Jenny Burcio, who's the advocate, community and DockerCon content lead at Docker. Jenny and John, thanks for joining me today. >> Great to be here, thank you. >> Thanks, John. >> So you guys, Docker has been one of the most popular container platforms from the beginning of this cloud native movement. You have over millions and millions of developers out there. DockerCon is going virtual. It's an event that you guys had physically over the years, now it's going to go virtual, but this is not new to the developer world. I want to get into that in the conversation, but first I want to give you guys a chance to take a minute and explain, John Kreisa, if you take a minute to explain the new Docker because there were some changes over the past year. Take a quick minute to explain that. >> Sure thanks John, and hello everybody. So, we went through a change in November of last year to refocus Docker on, I'll say, what was the roots and the foundations of the company, around developers and developer teams. And so, at that time we took the action to split off the enterprise-focused component of the business, sold it to a company called Mirantis. Since that time, we've been working very diligently around refocusing Docker on developer tooling, developer chains, and really developer productivity, individuals and teams, and that's something that has really revitalized our community, I'll say. The community's been strong and has come with us, and I think is reacting very, very positively to this change. So that's something that we've been going on, we're about five months into that change, and that's been positive so far. >> So it's a startup, kind of a reset, kind of a start up again, get the startup roots, but with a huge community, millions of developers. >> Massive community, that's right. Millions of developers, more than two million Docker desktop downloads installed on developer machines. Huge community around Docker Hub, using that as their essential collaboration point for developers for developing applications as they move those applications to the web, and to the cloud infrastructure. So, really just a tremendous community. It is a refocused company, but one that really is starting with a phenomenal foundation, as you mentioned, in terms of the community that we have with us. >> And it's a second chance to ride the big wave. Certainly the waves are bigger now. I don't want to make this a real commercial about Docker, or DockerCon. We're going to do a special video promo reel on that event, which we're kind of co-producing with you guys on a new collaboration. So look for, the folks watching, look for a nice promo intro video on what's going to happen at DockerCon, which will be a whole nother track. The reason why I wanted to bring you guys here, is this highlights to me the core impact of part of this crisis and current situation around Coronavirus, COVID-19, people are working at home more, so the mainstream world is seeing what it's like to work at home. People are understanding some of the pressures and the dynamics around how people communicate and work. And we, Jenny, were talking about this from a community standpoint. Open source community, they've been working at home (laughs) for a long time. It's been one of the most biggest success stories that hasn't been written is the success of how software developers have been productive in working in these groups on big projects with people from around the world. This isn't new. I'd love to get your perspective on how, what's your reaction to everyone else's reaction of the whole work-at-home digital world? >> Yeah, so, I mean, if you look at what open source, and what engineers have done, generally. You know, innovation doesn't happen within an office from nine to five, in whatever time zone you're in. And so, there's been, with Docker, GitHub, Zoom, a number of tools in place, and not just the ones I named, that really allow anyone, anywhere in the world, to contribute their ideas, and respond real time. We're not going through a huge change, even within Docker or in tech, of having to work from home. Maybe kids in the calls is a little bit different, but for many of us, we're lucky to continue marching on during this time. >> What do you guys see as best practices of the work-at-home crisis, or some of the collaboration techniques? I mean, everyone knows the online troll. I mean, trolls just get booted out, or moderated out of groups. Is there a certain best practice that you could share with folks that aren't, that are learning this for the first time? >> Sure, so, highly recommend having a code of conduct, and living by that code of conduct. So making it very visible to whomever you're working with, both internally at the company, and in open source, externally to anyone wanting to contribute to a project. Giving grace in this time. As we all know there's stress much beyond what's happening in our day-to-day work for all the community right now. And writing things as much as possible. And I think, particularly as in the last couple of weeks, there's been a real need to keep the written record of decisions and conversations, and make it out there and open so anyone can kind of participate. And even to that end, Docker announced a public roadmap earlier this month. So now our entire community can jump on and vote for what they want to see, or provide input and ideas on what we would do next. >> John, I want to ask you around DockerCon coming up, as you guys look to this being a first virtual event, digital event we call it. It's more digital than virtual, but I guess people use the word virtual more now, but it's really digital. Content value has always been king on physical events, but as you move over to virtual events, you just can't make the same people make the same decisions around a breakout room, or what assignment on the calendar and just ship it over to digital is a whole nother roles. New rules, new roles, new dynamics. What's your view on this as a marketer, because you've been on both sides, successful on both sides of the table there? >> Yeah, it is a, in a way, whole new world. I've participated in virtual events in the past, but I think this, the kind of scenario that we're in, puts a whole new impetus on making sure that these events, as much as you can, emulate the in-person experience. I think it's important that the experience you provide to your audience allows them to interact in a number of different ways, above and beyond just simply watching and consuming content, but really allows them to interact with each other that makes it so they can interact with speakers, and other users, and the kinds of people that they want to have. One of the things that we're thinking about, for example, for DockerCon coming up is, how do we emulate that hallway experience, right? The you're walking down the hall, you see somebody, you've been wanting to talk to them, and you have a quick five, or 10, or 20-minute conversation that allows you to have a really good, rich exchange. And that's something that we're working hard, Jenny's working hard on, and that the team's really working hard to provide. So, you know, in this new world, it's how do we bring some of those things that make a great in-person event to the virtual world? And you know, there's fortunately a lot of great tools out there now that do make that possible, you just have to bring them together in the right way. >> Yeah, I know that's something that we've been working on together with you guys, and you know, everyone knows my rant. I think that the format's going to be multiple different types of formats. Chats are different. We were chatting around the different, you know, there's a streamed chat, like on YouTube and Twitch, versus threaded like Reddit. And the hallway grabs, those hallway tracks, it's all about the content of the people, and I want to get your thoughts on, as you guys look to take this asynchronous approach, try to make it synchronous with DockerCon, has it changed some of your thinking around call for papers? I mean, call for papers is almost like an editorial call for a blog post now. So is it changing how you guys are thinking? Is there any insight that you could share as you guys are preparing? Also, you still got to get sponsors. You still got to get some funding. Maybe not huge amounts 'cause the physical space, venue's not there, it's digital now. So, can you guys just share your thinking, your reaction, and any insights you can glean from those two dynamics, the format, the call for papers, and the sponsors, and things of that nature that were proven methods the old way? I mean, just like, call the papers, line up the schedule, there it is, and everyone shows up, but not anymore. What's different? >> So with virtual we really have the opportunity to take the serendipity out of the conversations and the learning that happens at an in-person event. We ran a traditional call for papers. It closed on Friday, we got a number of responses and great, great content that came in. But we're not going to set a speaker up to deliver that live in a session at DockerCon. We're going to pre-record their talks, and have the speaker there live to actually chat with anyone in the audience. So, answer questions, so you'll have, actually, a much greater opportunity to talk to that expert via this virtual event than you would in person, listening to that person speak. I think it really helps first time speakers, and speakers who aren't as confident to get up in a huge room, to have the opportunity to pre-record their talk. So it adds to kind of the diversity and inclusion of the event to bring on some new speakers, for sure. And from a location standpoint, right, now you don't have to give up a whole week to show up somewhere. You can spend that time working on your talk, or whatever else, to kind of share your knowledge. And then the conversation doesn't have to end there. You really, everyone has a way to connect with each other after the fact, which as event marketers, you're always looking for what is that way that you continue the wonderful connections and learning that happens at a live event, beyond. And by having it all happen virtually, you're setting yourself up for success in that area. >> It actually makes it more interesting, because you think about it, you give your talk, and you're there after either giving people high fives, or signing autographs, or getting tomatoes thrown at you. So it's there, right? I mean, it is what's the product, it's the content product. You can engage with the audience after to take that followup, that side bar, maybe the conversations. How about, John, sponsors? I mean, obviously, we have to include sponsors into these events. You know, I've seen some software out there that's pretty old school. It's like, "Oh, here's the digital rendering of our booth." I mean, I personally think that's horrible. I think that's the wrong direction, but the content value of a booth is an event within the event. So there is a way to weave this in. What's your vision of that? How do you see the inclusion of a sponsor, and how is it more intimate and more authentic for them? >> Yeah, I think there's multiple aspects in terms of benefits for a sponsor that we are thinking about. Certainly, as you said, you don't really get that walk into the booth kind of experience, but given that it's all digital, you actually have a much more scalable way to enable sponsors to interact. Firstly, just with how we're promoting the event going into it, and the fact that as they create an asset, it can live in perpetuity, that we can continue to push out there to viewers. And we know that people can come and look at that content afterwards, and that gives yet another opportunity for those sponsors to interact with the people who are consuming it. So everybody has to really think a little bit differently. Both the sponsors of these events, and the hosts, as Docker is doing now, to how and what kinds of interactions. So we're thinking, how do we allow them to capture an interaction? What kinds of calls to action can they include within their digital content? And so everybody's got to think a little bit more digitally and more forward than just, "Hey, let me have people walk "into my booth and pick up some swag." >> You know, it's interesting, we have this conversation that's like an angle on theCUBE all the time, if you think about the end user, the consumer of the content, if you work on the strive for the content value, everybody wins. So, it's like an upstream project in open source. If done well, everyone can reap the benefits. If the shared mission is audience satisfaction around the content, that's contextually relevant to the people at any given time, which is what digital is beautiful for, and you can really create an environment for great activation, and full-on demand, consumer experience advantage, either learning or engaging, or whatever. If you do that, if everyone shares in that mission, that's a success formula. Whether you're a sponsor, or an attendee, or a producer. Do you agree with that? >> And John, we were saying earlier today, this format makes content even more of the king, right? The way that you're going to get attention is by delivering value through that content, and you will probably have a better result of someone stopping by to learn what your offering is, or what knowledge you're bringing to the table, versus what that piece of swag was that they're getting scanned for. >> And there's a role for everybody. I remember when, back in the glory days when I used to develop code, I used to go show my peers my software, they're like, "Yeah, John, that code's just not good." "Well, no, no." But there's a role for me. I wasn't the best coder, but if you have good code, you rise right to the top of the pecking order and people recognize your software in open source, and content's kind of the same way. Everyone can produce content, and some will be better than others, but it doesn't mean that it's just about the content produced, or the curation, there's other roles. Do you guys see some parallels between content development in this kind of way, in a similar fashion as, say, software? I'm just making that metaphor up, it's just riffing out loud. It's a similar construct. Good software wins the day. Good community makes it all work. >> Sure, if your end goal is to educate others and share something that is of value, then it's going to be picked up. And of course creating content takes practice, just like becoming an excellent coder. And so, the stakes aren't as high in a virtual event, especially with pre-recording and some of the other things that you're doing. You know, blog about it. Do a video, do a session, right? Take that content, deliver it different ways, and practice. Particular to DockerCon, both at our live events, and what we will do moving forward, we have an extensive support system for all of our speakers. We assign a number of people internally to review outline, review talk tracks, review slides, and run through actual practices, so that our speakers are very attuned to what our audience is going to be expecting, and feel very comfortable delivering their session, because their success is our success, and ultimately, we're looking for delivering that value to Docker's builders. >> I love the format you mentioned earlier, pre-record, but also there's a new format emerging that's very popular in the Twitch world which is streaming your video game. I still predict that people will be streaming their coding sessions, but you guys have a Docker captain in Brett, who has his own streaming rig and he does the Docker birthday party, recently. I think that's going to be a future format, streaming to an end point, not just for gaming, but for just life, life casting as some people call it. But that's a good format. It fits perfectly into these digital events to host and emcee these sessions. So you can do the record on-demand, record in advance, but there's also a role for streaming, doing the demos, doing the tech talks. >> I mean, think about your audience. They need something both in the moment, and after the fact. And sessions are something that you can watch now, or later, but running through an event with our captain, like Brett Fisher, you want to be there to see what's going on. We did a birthday live stream on Thursday, to celebrate Docker's seventh birthday, and it was amazing because we had so many members of our community come on. They can't go to meet-ups anymore with everything that's happening, but we found a way to all connect, all chat, have a great time, and have this group experience, both fun and learning. And I think we will continue to see that, not just in the conference form, but increasingly now with COVID, people can't get together. People are Zooming with their high school friends to make up for time lost. So I think beyond our industry, the world is going to get very used to connecting virtually. >> I'm going to have a Zoom session tonight, seven o'clock on my Facebook page. It's going to be interesting to see all my high school friends come out, and who knows those words, but there's kind of no moderator button on Facebook. I got to figure out, make sure they're all there. Final question on this whole event thing, and then we can get to this last section around DockerCon. John and Jenny, we both have friends that are in digital, have done events. I'm hearing a lot of pressure is on these digital teams, because the physical events have proven a lot of great business value. Most companies know the economic value of physical event. Again, it's been standardized over decades, but now all of the sudden these new teams, digital teams, are being asked to provide the same business value that these physical events have provided, and these teams aren't equipped for it. So I'm getting a lot of phone calls, and a lot of outreach to theCUBE saying, "We need help." That's the event digital team, and the demand generation marketing teams. They're under a lot of pressure. Are you guys seeing the same thing, and if you are, what advice would you give the people out there, because they're under a massive amount of pressure to deliver? >> Yeah, it's a new world in that regard. And yeah, there are a few platforms out there, but in terms of something for demand marketers that emulates that live event, there's really not. I mean, as you know, we're innovating in multiple ways with you to bring a different kind of experience, but we're also having to think about how do we convert that into some kind of economic value? I mean, for example, DockerCon is a free event this year. A lot of the costs are lower, but it's a free event. That sort of changes that aspect of it. But the other part is, how do we make sure that we connect with that audience, so that we have an ongoing relationship? The way we're looking at it, and I think one recommendation for other companies, is it is a component in a series of engagements. It's a very big one, one that we're investing quite a bit in, in terms of resources, but it's really just a series of, one component of a series of engagements that we have digitally. And there's lot of other ways that you can do it, and fortunately, like Jenny has online meetups, or already has virtual meetups as a component of our virtual experience. This is one that we're sliding in with that, and based on how we're expecting it to go, we'll continue to invest in it in the future. >> Jenny, 365 days in the year, that's digital, it's aways on, right? It's like you got to think holistically, not just have an event, stand it up, tear it down, move to the next one. You activate and you got to keep it always on, you have to keep a pulse. Keep the community rolling. >> Yes, and whether it was a physical event, or a virtual event, that's your goal anyways, is to continue that momentum and keep the community going. We are innovating on that with you for DockerCon, but we're also very much listening to our community, and what their needs are, and trying to figure out how to support their connections with their local community. Docker has a pretty extensive meetup network all around the world, and the rise of virtual really allows us to take the physical limitations of local meetups out, and if they want to run virtual events, then great, how can we support them as well? >> That's awesome. And you know our mission from this area for the folks watching, is to create the best experience possible for audiences, and that means putting the right content in front of them that matters, or having them choose their own content, meet the right people, find if their friends are there, make it a great engaging experience. Because if that happens, everybody wins. So, we're looking forward to DockerCon. If you guys could just give a highlight, quick teaser. John, give a quick teaser on DockerCon, and then Jenny, give the community update of what do you guys expect to have happen? What are you hoping for? What are you nervous about? What's the excitement? What's going on? John, we'll start with you. >> Yeah, thanks John. So just a brief on DockerCon. It's May 28th, of this year. It is a free event that is going to run for, I think it's eight hours during the day. There's multimodal, kind of consumption models. So we're thinking in terms of different channels that people can come and consume. We talked a little bit about the live channel with our captains. There's a live channel with theCUBE, with you guys. There's also the pre-recorded track content. So, there's a way for people to come and interact, come and participate in the chats, and consume content that should be highly educational and focused, and we hope that it'll be a great experience. We're really focused on the content, making sure that it's a great experience for our users and our audience. >> Jenny, how about the community? What's your take, and what's your goal and aspirations? What are you hoping for? >> Hoping for the community to be able to connect, both with the speakers, experts, captains, get their questions answered, have conversations with people on stage, if you will, but also with each other. And just kind of strengthen the bonds of the community, and getting everybody to a better place with developing with Docker and DevOps, and kind of create those pathways beyond May 28th. >> Yeah, it's a DevOps world. We're going to do our best. Hope we put a kick ass program together. It's going to be fun, (laughs) and we hope we have good bandwidth. John went out a couple times there, one time, but we're going to have some good time, and hopefully learn a lot and iterate, and just raise the bar on it and just get it going. So really appreciate collaborating with you guys, and really thank you for your insight on this real, I think, a clear vision on how digital's going to shape how people engage and how events will go, even when they come back. I think this point in time, this current situation's going to emphasize the role of digital isn't just about marketing to people and getting them to come to an event. I think it's going to be a real productive network effect, where there's value created. And I think the silver lining in all this is, this is going to be now the new path for us. So thank you for sharing your cutting edge insights. I appreciate your time, thank you. >> Thanks so much for having us. >> Thank you, John. >> Okay, this is a CUBE Conversation. I'm John Furrier here in the CUBE studios in Palo Alto, with the remote interviews during this time of crisis, of COVID-19 current situation. I'm John Furrier, theCUBE, thanks for watching. (upbeat music)

Published Date : Apr 1 2020

SUMMARY :

all around the world, this is a CUBE Conversation. and how the digital interactions are evolving, It's an event that you guys had physically over the years, of the business, sold it to a company called Mirantis. but with a huge community, millions of developers. and to the cloud infrastructure. and the dynamics around how people communicate and work. and not just the ones I named, that you could share with folks that aren't, and in open source, externally to anyone and just ship it over to digital is a whole nother roles. and that the team's really working hard to provide. I think that the format's going to be and have the speaker there live to actually chat but the content value of a booth is and the hosts, as Docker is doing now, of the content, if you work on the strive of someone stopping by to learn what your offering is, and content's kind of the same way. and share something that is of value, I love the format you mentioned earlier, pre-record, And sessions are something that you can watch now, and a lot of outreach to theCUBE saying, in multiple ways with you to bring You activate and you got to keep it always on, We are innovating on that with you for DockerCon, and that means putting the right content It is a free event that is going to run for, Hoping for the community to be able to connect, and really thank you for your insight I'm John Furrier here in the CUBE studios

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Nhung Ho, Intuit | Stanford Women in Data Science (WiDS) Conference 2020


 

>>live from Stanford University. It's the queue covering Stanford women in data science 2020. Brought to you by Silicon Angle Media. Yeah. >>Hi. And welcome to the Cube. I'm your host Sonia Category. And we're live at Stanford University for the fifth annual Woods Women in Data Science Conference. Joining us today is none. Ho, the director of data Science at Intuit None. Welcome to the Cube. >>Thank you for having me here, so yeah, >>so tell us a little bit about your role at Intuit. So I leave the >>applied Machine Learning teams for our QuickBooks product lines and also for our customer success organization within my team. We do applied machine learning. So what? We specialize in building machine learning products and delivering them into our products for >>our users. Great. Today. Today you're giving a talk. You talked about how organizations want to achieve greater flexibility, speed and cost efficiencies on. And you're giving it a technical vision. Talk today about data science in the cloud world. So what should data scientists know about data science in a cloud world? >>Well, I'll just give you a little bit of a preview into my talk later because I don't want to spoil anything. Yeah, but I think one of the most important things being a data scientist in a cloud world is that you have to fundamentally change the way you work a lot of a start on our laptops or a server and do our work. But when you move to the cloud, it's like all bets are off. All the limiters are off. And so how do you fully take advantage of that? How do you change your workflow? What are some of the things that are available to you that you may not know about? And in addition to that, some some things that you have to rewire in your brain to operate in this new environment. And I'm going to share some experiences that I learned firsthand and also from my team in into its cloud migration over the past six years. >>That's great. Excited to hear that on DSO you were getting into it into it has sponsored Woods for many years now. Last year we spoke with could be the San Juan from Intuit. So tell us about this Intuit's sponsorship. Yeah, >>so into it. We are a champion of gender diversity and also all sorts of diversity. And when we first learned about which we said, We need to be a champion of the women in data science conference because for me personally, often times when I'm in a room, um, going over technical details I'm often the only woman and not just I'm often the only woman executive and so part of the sponsorship is to create this community of women, very technical women in this field, to share our work together to build this community and also to show the great diversity of work that's going on across the field of data science. >>And so Intuit has always been really great for embracing diversity. Tell us a little bit about about bad experience, about being part of Intuit and also about the tech women part. Yeah, >>so one of the things that into it that I really appreciate is we have employees groups around specific interests, and one of those employees groups is tech women at Intuit and Tech women at Intuit. The goal is to create a community of women who can provide coaching, mentorship, technical development, leadership development and I think one of the unique things about it is that it's not just focused on the technical development side, but on helping women develop into leadership positions. For me, When I first started out, there were very few women in executive positions in our field and data science is a brand new field, and so it takes time to get there. Now that I'm on the other side, one of the things that I want to do is be able to give back and coach the next generation. And so the tech women at Intuit Group allows me to do that through a very strong mentorship program that matches me and early career mentees across multiple different fields so that I can provide that coaching in that leadership development >>and speaking about like diversity. In the opening address, we heard that diversity creates perspectives, and it also takes away bias. So why gender diversity is so important into it, and how does it help take away that bias? Yeah, >>so one of the important things that I think a lot of people don't realize is when you go and you build your products, you bring in a lot of biases and how you build the product and ultimately the people who use your products are the general population for us. We serve consumer, small businesses and self employed. And if you take a look at the diversity of our customers, it mirrors the general population. And so when you think about building products, you need to bring in those diverse perspectives so you could build the best products possible because of people who are using those products come from a diverse background as well, >>right? And so now at Intuit like instead of going from a desktop based application, we're at a cloud based application, which is a big part of your talk. How do you use data Teoh for a B testing and why is it important? >>Yeah, a B testing That is a personal passion of mine, actually, because as a scientist, what we like to do is run a lot of experiments and say, Okay, what is the best thing out there so that ultimately, when you ship a new product or feature, you send the best thing possible that's verified by data, and you know exactly how users are going to react to it. When we were on desktop, they made it incredibly difficult because those were back in the days. And I don't know if you remember those put back in the days when you had a floppy disk, right or even a CD ROM's. That's how we shipped our products. And so all the changes that you wanted to make had to be contained. In the end, you really only ship it once per year. So if there's any type of testing that we did, we're bringing our users and have them use our products a little bit and then say Okay, we know exactly what we need to dio ship that out. So you only get one chance now that we're in the cloud. What that allows us to do is to test continuously via a B, testing every new feature that comes out. We have a champion Challenger model, and we can say Okay, the new version that we're shipping out is this much better than the previous one. We know it performs in this way, and then we got to make the decision. Is this the best thing to do for a customer? And so you turn what was once a one time process, a one time change management process. So one that's distributed throughout the entire year and at any one time we're running hundreds of tests to make sure that we're shipping exactly the best things for our customers. >>That's awesome. Um, so, um, what advice would you give to the next generation of women who are interested in stem but maybe feel like, Oh, I might be the only woman. I don't know if I should do this. Yeah, I think that the biggest >>thing for me was finding men's ownership, and initially, when I was very early career and even when I was doing my graduate studies for me, a mentor with someone who was in my field. But when I first joined into it, an executive in another group who is a female, said, Hey, I'd like to take your side, provide you some feedback, and this is some coaching I want to give you, And that was when I realized you don't actually need to have that person be in your field to actually guide you through to the next up. And so, for women who are going through their journey and early on, I recommend finding a mentor who is at a stage where you want to go, regardless of which field there in, because everybody has diverse perspectives and things that they can teach you as you go along. >>And how do you think Woods is helping women feel like they can do data science and be a part of the community? Yeah, I think >>what you'll see in the program today is a huge diversity of our speakers, our Panelists through all different stages of their career and all different fields. And so what we get to see is not only the time baseline of women who are in their PhDs all the way to very, very well established women. The provost of Stanford University was here today, which is amazing to see someone at the very top of the career who's been around the block. But the other thing is also the diversity and fields. When you think about data science, a lot of us think about just the tech industry. But you see it in healthcare. You see it in academia and there's a scene that wide diversity of where data science and where women who are practicing data science come from. I think it's really empowering because you can see yourself in the representation does matter quite a bit. >>Absolutely. And where do you see data science going forward? >>Oh, that is a, uh, tough and interesting question, actually. And I think that in the current environment today, we could talk about where it could go wrong or where it could actually open the doors. And for me, I'm an eternal optimist on one of the things that I think is really, really exciting for the future is we're getting to a stage where we're building models, not just for the general population. We have enough data and we have enough compute where we can build a model. Taylor just for you, for all of your life's on for me. I think that that is really, really powerful because we can build exactly the right solution to help our customers and our users succeed. Specifically, me working in the personal friend, Small business finance lease. That means I can hope that cupcake shop owner actually manage her cash flow and help her succeed to me that I think that's really powerful. And that's where data science is headed. >>None. Thank you so much for being on the Cube and thank you for your insight. Thank you so much. I'm so sorry. Thanks for watching the Cube. Stay tuned for more. Yeah, Yeah, yeah, yeah, yeah, yeah.

Published Date : Mar 3 2020

SUMMARY :

Brought to you by Silicon Angle Media. And we're live at Stanford University for the fifth so tell us a little bit about your role at Intuit. We do applied machine learning. And you're giving it a technical vision. What are some of the things that are available to you that you may not know about? Excited to hear that on DSO you were getting into it into it has sponsored We need to be a champion of the women in data science conference because And so Intuit has always been really great for embracing diversity. And so the tech women at Intuit Group allows me to do that through a very strong mentorship program that In the opening address, we heard that diversity creates And so when you think about building products, you need to bring in those diverse How do you use data Teoh for a B testing and And so all the changes that you wanted to make had to be contained. Um, so, um, what advice would you give to the next generation of women I recommend finding a mentor who is at a stage where you want to go, And so what we get to see is not only the time baseline of women who are in their PhDs all And where do you see data science going forward? And for me, I'm an eternal optimist on one of the things that I think is really, Thank you so much.

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Steve Mullaney, Aviatrix | AWS re:Invent 2019


 

>>from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Hey, welcome back to the Cubes. Live coverage in Las Vegas for eight of his re invent 2019 R Seventh year out of the eight years I've had it, we've seen the rise and dominance of Amazon continued to thunder away at the competition span. Their lead printing money stew minimum in my coz right here next to me. I'm John, very extracting from noise. Our next guest, steam A lady who's the presidency of Aviatrix Cube alone was on Tuesdays part of our editorial segment. Who his company or one of his employees going to term. You take the tea at a cloud native cloud naive, which has been going viral. Welcome back to the Cube. Thank you. All right, so let's get into the aviatrix value. Probably wanna get digging more, but first explain what you guys do and what market you're targeting. >>So we do. I would say cloud native, not naive. Cloud native networking that embraces and extends the basic constructs the native constructs of the public clouds, not just a W s, but all the public clouds and builds a multi cloud architecture, networking in security architecture for enterprise customers that that delivers the simplicity and the automation that people want from cloud. That's why they want a cloud native but yet brings along the functionality, the performance and the visibility and control that they had on on Prem. So that kind of taste great less filling, not one of the other. Both. I want the simplicity and automation of anything that expect from the cloud. But I need that enterprise functionality that control the security, the performance that he used to have on Prem because I wasn't doing that for my own health. I need to bring that along. That's what we do. >>What main problem you solving for customers? What's the big pain point? So what are you enabling? >>The big pain point is the center of gravity, as Andy Joshi's talked is moving from on Prem into the cloud. So it's so it's no longer. I mean, data centers aren't going away. They're going to still be there. But the investment architecture is in the cloud and you're going to see the clouds start moving out with their their announcements. You see everything that outposts and on everything else they're doing is taking the architecture moving out. The problem we solve is A W S says to every enterprise customer. We will give you anything and everything you ever need from networking and security. You don't need anybody else. And so so what ends up happening is as enterprises. So for an SNB, that's great. If you've got a few, VP sees life is good. Use all the native stuff from AWS. What happens, though, is your Qualcomm or your USA or your new name it big 50 year old 100 year old enterprise. You have complex networking and security demands. You go to the cloud. There's so many limitations of what the native constructs of all the clouds could do. You start realizing, okay, I need Maur. And so we're very complimentary to AWS. We sit on top of that. We leverage those basic constructs. We program those contracts and then we extend that functionality to deliver the functionality that they need. >>That's awesome, stupid when I want to dig into that, but I want to first get to the hard news you guys have news here at reinvent? What's the big news story that you guys were putting out there? Two >>announcements and actually goes perfectly with the way the world's going and also with the embrace and extend of a W s. So the first is we introduced what we call aviatrix Cloud win. So they announced Transit Gateway Network manager with accelerated VPN leveraging global accelerator as just a way to bring in basically embraced branch offices into the cloud. So if you think of SD win in that market, if your if your center of gravity is on Prem in a data center on pls is horrible, you needed a better way to do branch office connectivity. SC wait is fantastic, and it's a great, optimal way to get back to that data center. Well, as the center of gravity moves into the cloud, their data centers in the cloud. I just need to get better optimal access performance in late and see into a W s because that's the center of gravity. So AWS with the global accelerator allows youto get on one of their 250 pops around the world as quickly as possible. So if you're in Singapore, get on that pop VPN in, and then you go across the global backbone of AWS all the way out to that BBC in Virginia. It's beautiful, because guess what? That is the most optimal way to get there instead of vpc to vpc across the Internet right on the AWS backbone. Well, Steve, it's fascinating stuff because if you look at the traditional network, it was I knew the knobs and how I need to get everything to work. But the big challenge for most network people is most of the network that they're responsible for. They can't touch it. That's right. They can adjust it. So are we recreating some of the environment? Or how? Because clubs supposed to be simple? Well, that's easy, but it needs to meet the enterprise requirements. Help that network administrator there there, sometimes going away to the cloud administrator. You still networkings tough and therefore, how do we make that? That's part of what we do is that's the other thing that we solve is people think they go to the cloud and they think, Oh, go build. I don't want to build anything. I want to consume. It's still difficult. We come in and abstract away a lot of the details for them such that we deliver that service on the cloud win. The other thing that we do again, back to embracing and extending. What do you What? What router is out in that branch office 87% of the time. Sisko, right? I mean, course it is. So the S D wearing guys will go in and say, We'll rip that box out and put in another little box like a 20,000 branches. I'm not ripping out anything, right? That's very painful. So with our cloud win, we can orchestrate and reconfigure the Sisko. All of our engineers came from Cisco. So any Cisco IOS router out there, we can orchestrate and reconfigure to set up the VPN automatically through our orchestrator so that when you don't rip and replace out that Roger that's existing there. So now AWS loves it because that's the last piece of friction. They want no friction, and it's always in that physical to cloud transition There. All the complexity is, and by enabling their network manager and an accelerated VPN and global accelerated to use the existing Cisco. Roger, that's out there. No one else does that Cisco doesn't do that. We're the only ones. So when you embrace a native construct, what's the native construct in the branch office? B, G P. And Cisco IOS. We embrace it and then and then enhance it and make it better. >>Are you only on Cisco about June 1st? >>Wait. Now it's just go. Francisco's 87% >>of every bridge your software abstraction software across. And you you basically change the game with SD. Win a little bit, you modernize >>It s t win is great for the old way of doing networking. When you look for the next five years, you're still gonna need SD went. It's a bubble market. It's like when optimization us riverbed. If when optimization is a great market, it was for a while, just like SC win. But that's kind of the old way. But Maur Maura, what you're gonna find is what Where my branches need to connect to is in the cloud. And if you do that, you don't need esti win. You just need better connectivity. Tate of us provide. >>I gotta ask you the question about the cloud naive because there's a lot of old school I t people who still think there's food in the data center. Still, action there on box makers are all in the vendor side supplying boxes. They're still want to supply boxes, right? So as those old guys and gals do their thing, they're stuck in their ways, right? That's friction. Total gas. He talks about the transformation as new leadership. What has to change in that old world? What should those C I ose and CEOs tell their their staff? And what should the staff do themselves? >>I actually think the customers air there. I think the vendors are that the vendors are the one that aren't They're the ones who are cloud naive. They actually don't even know what they don't know. The customers are the ones they say, Oh, no, And this is the whole shift that Josh was talking about business transformation. They understand. And they are bringing along all their people and they have some people that are probably further along and experts in AWS. But they absolutely number one requirement for them is we've got to bring along the people they don't want to leave them behind and say, You get to work on the old data center and these guys are gonna work in Cloud. They're bringing them all in. >>Talk about your customers who's buying from you? What's it look like? What kind of scope do you have? A customer base? >>It's funny. It's It's It's all the old networking guys. It is not. It's not developers signing that. It's it's It's old. I t. Now they don't want to do it the old way. They want to do it the new cloud way. But these guys understand BDP. They understand networking, and they're in charge now. And so it's like because it's gotten so serious for enterprises. This the networking team, the security team it is. It is I t that is running this, so that's a big company. Small companies, we get him. All right, Steve, I want to make sure I understand this because when I hear cod Native, I really think a lot about that application. Mind shift. Yeah, Micro Service is our protector, and that's on it for sure. Networking. Unfortunately, for the most part, it's nothing. Bites are going through the pipes, and I haven't really thought about that. So you know, it's not just because it's cloud but cloud native and therefore things like your container and doctors Dr. Rise thing. This is what this world is built for that your solution is solving for yes. So I'll give you a perfect example. So So we help. We actually helped a dhobi us come out with T g. W. Last year, Cheri, I found, was on stage with Day Brown and the networking keynote launching T g w whenever Great. Of course, before that, you were just doing bpc the vpc peering It was a horrible mess. So you need a transit architecture. So they came out with T g w Fantastic. So we embrace and extend T g w. So the problem is, they come out with T g. W. But guess what a Doris doesn't do. Don't propagate routes to spoke VP sees. Okay, so how did the routes get propagated? Well, you have a person. They need manual. If there's an update on the on from you manually update the routes. Well, that might work. If you've got three. VP sees again. You're an SNB. But I'm an enterprise. I got 3000 vpc That is not gonna work. So cloud native we are We are not just sitting on top of AWS. We are in the matrix we are in. We understand natively. So our central control, it will actually like we're not. There's no b g p running at that layer, but our central control it will push routes an update, routing tables everywhere. It needs to be learned. The routes from Amman Prem push it where it needs to be, and then everything automatically works. Yeah, it reminds me, you know, we had more than a decade ago. We went from all the north south traffic to the East west, propagated by VM. Yes, is an order of magnitude 8 12 and know that this cloud environment people can't do it. There's not enough people. I don't have enough man hours because the machine learning So here's devices need to be here. Another thing that's happened in guys is there is there is 100% of people in there in the universe that that that no cloud, that number's growing, but there's a fixed set. Everybody's going after all those people. You've got the big clock. They're all hiring like crazy. The vendors are probably hiring. You've got customers they're stealing from each other. It's very difficult to keep a staff. And so they look and they say I probably could figure this out, but there's no way I'm going to be able to operationalize it. There's just zero chance I could do that And there's just so much change. And honestly, they say it's a full time job just keeping up with what Amazon is announcing their get implementing. And so that's where they look and they come to Austin. They say there's zero chance that I can deploy networking architecturally without aviatrix >>on the network and guys because you and I always say the neighboring guys have the keys to the kingdom. They always have. I mean, people have tried to move the center of power away from the networking guys, But now, as the cloud gets the center of gravity, some of the power networking guys got to step up their game. But they don't want to rip and replace anything is as you went out earlier. It's complex, even pull one or two out. So the concern that I might have put the question to you is Steve. Great, great energy. But I'm really nervous that these routes are not gonna be. There's gonna be some coherency issues around updating routes because that's my number one concern. How do you guys solve that? >>Well, the one thing I've always seen, who's the worst? When? When? When most things happen, Who's the culprit? Human, right? It's always a human. Does something wrong. And so I would much rather trust some sort of automated software because at least if you program it correctly, it's going to do the right thing so way have not had. I mean, it's so >>you know what I'm sure is no issue there. >>Yeah, no, there's no issue, I mean, and what we do see, sometimes our people say, because there's a lot of people that are that are very smart, they get into the cloud and they are do it yourselfers and they love to go build, and they love the complexity, and they want all that they feel they feel like this job security and what we sometimes have to do is say you. But think about day to think about handing off the operations. You might get hit by a bus, and then your company is screwed, and you gotta almost get them enlightened to realize that they should be working on higher level things other than low level things. I'd say that's something that we kind of educate. People, >>houses Amazon there, one cloud of many 34 maybe one or two jazz. He said to me. You know, mostly primaries will be picked, probably Amazon. But in some cases, as you will be a primary less than that eight arrests. So multi cloud is the word that it was Something about an Amazon sees me loosening up a bit what it is, so they recognize it. What is multi cloud? I mean, what is really going on? I think >>I think if you're a small company, absolutely pick one cloud like for sure, right, like that doesn't make sense to go multiple clouds in your small medium business. If you're not that, if your needs are not that complex, pick one cloud right? And if it's a Toby asses the later stay with them. If it just happens to be, well, I got a bunch of credits and azure. Okay, maybe do them. I think. To date most people are picking eight of us There, there, there, there, The killer here. But when you talk to the enterprise, the real enterprise right that are just now moving into the cloud, they're all multi cloud Just had one today. Super large chip company down L a San Diego area. Guess what. Use it. All three clouds. I asked him why. Well, because we started in AWS. We got some things there we've got. We've got a bunch of stuff that runs and an azure with offers 3 65 other things that they dio and Google for ml and that kind of stuff. It runs better their enterprises. They're gonna pick where the workload run best, and they're big. And so they're gonna look and they're gonna They're gonna They're gonna elevate up building architecture that works across all of them. I don't think multi cloud means I'm gonna move this workload from here to here. That's never gonna happen. Maybe in 20 years. But I doubt it. It's just that the workloads heir destined, they run better on that and they're gonna focus on >>different park loads for the cloud that picked the right guy for the right workload. >>Yeah, and I'm so big and I require different companies and I get acquired. And and and And you got to think of the on Prem data centers eyes another cloud that's a multi. And then I go into Europe, and I have GDP are and I need another cloud. I mean, they're gonna have 45 clouds, and I don't think it's gonna be 20% across all >>that could be a power lot. They'll be more than 13 closets. Be specialty clouds a riff on this all the time. Well, Steve, I want to thank you for coming on the Q. Appreciate it. Give a quick blood for the company. How many employees you're gonna hire, some of your objectives >>growing fast. We've got over 400 customers and you ask one of our customers we've got customers spending millions of dollars a year with us all the way down the customer spending $5 a month. Why? Because of the wonderful thing of cloud they can consume. We've got 400 customers all over the world and even know who probably 300 of them are right. Why they go on the market place they go like this, they download. Maybe they come on drift. Ask one question. They launch and they spent $5 a month. I don't even know what they're doing. And eventually we watched their Amar are it just grows and grows and grows and grows. And eventually like, Whoa, Now you're spending 50 grand a year. We should talk. So it's kind of like how some companies used open source that ends up being our funnel a low friction zero friction High velocity Landon expand model. And then we have the traditional enterprises that you'd imagine every so everything in between >>your hiring, >>we're hiring like crazy, hiring a whole bunch of sales organization around the world. We just raised $40 million Siri see a month ago and we're going for >>fresh financing. Aviatrix see Mulaney, CEO of aviatrix here on the Cuba Reinvent 2019 Stay with us for more coverage. Day three of our three days of World War coverage Two sets here, thanks to Intel for the being our headline sponsor without their supporting our mission, which is bringing you the best confident possible. We want to thank Intel on. All of our sponsors were right back with more coverage after this short break

Published Date : Dec 5 2019

SUMMARY :

Brought to you by Amazon Web service is All right, so let's get into the aviatrix value. So that kind of taste great less filling, not one of the other. But the investment architecture is in the cloud and you're going to see the clouds start moving So now AWS loves it because that's the last piece And you you basically change the game But that's kind of the old way. I gotta ask you the question about the cloud naive because there's a lot of old school I t people who still are that the vendors are the one that aren't They're the ones who are cloud naive. We are in the matrix we are in. So the concern that I might have put the question to you is Steve. Well, the one thing I've always seen, who's the worst? and they love the complexity, and they want all that they feel they feel like this job security and what we sometimes So multi cloud is the It's just that the workloads you got to think of the on Prem data centers eyes another cloud that's a multi. Well, Steve, I want to thank you for coming on the Q. Appreciate it. Because of the wonderful We just raised $40 million Siri see a month ago and we're going for Aviatrix see Mulaney, CEO of aviatrix here on the Cuba Reinvent

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Sanjay Mirchandani, Commvault | Commvault GO 2019


 

>>Live from Denver, Colorado. It's the cube covering com vault go 2019 brought to you by Combolt. Hey, >>welcome to the cube at Lisa Martin in Colorado at convo go 19 I'm assuming a man and stew and I are pleased to welcome back to the cube and Alon my who hasn't visited us in awhile, but he's kind of a big deal is the CEO of Commonwealth's on Jay Mirchandani. Sanjay, welcome back. >>Thank you Lisa. Good to be a good too. >>So exciting. This is the fourth go. I love the name go and lots of stuff. So you have come onboard to combo in about about nine months ago and man, are you making some changes? You know the analysts said combo, you gotta, you gotta upgrade your sales force, you gotta expand your marketing, you've gotta shift gears and really expand your market share. And we've seen what Combolt is doing in all three of those areas along with some pretty big announcements in the last couple of days. Talk to us about this, this first nine months here. And really maybe even, I would start with the cultural change that you have brought to a company that's been run by the Bob hammer for 20 years >>right now. Firstly, I'm very fortunate to be here because the company is, it has incredible foundation. The bones of the company, if you would, are solid a great balance sheet, um, over 800 patents, no debt, cash on the books, profitable. It's just, you know, and great, great technology wrapped around some amazing people. So when I look at the, when I look at it and you go, this is this, this is an incredible asset. My role really when I came in when I transitioned with Bob and Al for a period of time was really about making sure we didn't break anything, making sure that we kept the momentum, understood the culture, took time to talk to customers, talk to partners, talk to our employees, shareholders and understand, um, what are the focus areas that we needed to go after. And the last nine months has been about, you know, a lot of learning on my part. >>But also a very receptive group of employees and partners saying, you know, we'll give you a chance. Let's get this done, let's see where it goes. So that's where the nine months had been around and it's been a, it's been fabulous. >> So that's actually one of the things I've heard from your team is you've come in loud and clear with the voice of the CIO. Having been a CIO yourself, that's something you want them to focus on. Everybody, we always talk about listening to the customers, but you know, the role of the CIO has changed an awful lot. You know, since you first became a CIO, clouds change everything in a Nicholas CARF said for a while, does it even matter? Right. Um, so you know, Ferguson side a little bit as to how you want to make sure you're delivering for what the CIO is need. >>Not necessarily what, you know, they were saying that they want. No, it's fair. And, and as much as the role of the CIO has evolved, I don't think it's changed fundamentally. They still, you know, the guardians of the data, the, you know, the compliance and everything else and of course more than anything else, the productivity and the competitive edge that businesses need, technology and business, regardless of which business you're in, are interested intrinsically tied. Your delivery of anything you do today is tied to technology. If you, if you want to be future proof. So if anything, the role of the CIO has only been elevated. I'm, I say this playfully, but I do say it. I said, if I wasn't running this great company that I am now, I'd love to be the CIO of a dysfunctional it organization at a large company because there's so much you can do. >>Many of the decisions that we would spend an inordinate amount of time on the infrastructure, the application, how do you bind it, what are the protocols? Which data center, how much, who runs it, which partner? I kind of dissipated if you're not going to the cloud in some form of fashion, come on, right? If you're not building cloud native applications, come on. If you're not using dev ops, come on. So you've got all this time back now where you're not hopefully having conversations that don't matter and you're really go and building new things. So I think it matters. That's great stuff. And absolutely we agree. We've talked many times on the cube. It definitely actually matters more than today. If anything. Not only did they need to be responsive to the business, but oftentimes it can be one of those drivers for innovation in change in the business. >>Um, I love something you said in your keynote, you said data is at the center of everything you do because right. Most CEO's, hopefully infrastructure is something they might have under their purview, but it's not what drives the business. It's the data, it's the application, it's their customers that matters. So to speak a little bit to the role of data has changed a lot. You know, you and I worked for that big storage company where we even didn't talk as much about storage back about data back in the day. Today it's the life blood of the company. It's everything like that. >> And you know that that is one of the reasons I'm at Convolt because for the past 30 years I've been in technology, I've done app side, I've done infrastructure side, I've done a mix of all of those. And the more I think of an dev ops, I've done that. >>The more I think about it. If I were, if I was sitting with a CEO today and having a conversation about what matters in technology, who's maybe a CEO is not a technologist, I would say data matters. I would say the asset of your company is the data. It's gone from something that you used to manage down, compress deduplicate and hope it went away and you wanted to minimize its footprint to something where you want to maximize its value. And those aren't just words. I mean that is what makes great companies, great companies today, the way they use data to their competitive advantage. So this is, this is exactly the mindset where the mindset, the Guppy do to convo because all we do, all we do is help our customers be data ready. As I was saying this morning, that's, I love that term because that kind of encapsulates it for me. So that's, that's where my head's at. >> Yeah. I mean, we've always said that the thing that defines a company that's gone through debt, that digital transformation is that data drives the business. >>It, it absolutely should, but we're, when you talk with customers that have, whether it's a big university, a research university, healthcare organization or whatever type of organization that has multiple departments, so much data that potentially has a tremendous amount of value that they actually aren't managing well or can't get visibility out of. When you say we want to help you be data ready, w what does that mean to them? >>It means a few things. You summed it up perfectly. That's the world, the customer, the chaos that customers could live in because fundamentally, Lisa, if I had over-simplified applications, we're intrinsically to date data that you use for tied intrinsically to the application to build. So if you had an SAP system, your data was very tightly tied to that. If an Oracle ERP system, it was very tight detail yet it'll supply chain system. You were tied to that. And once data side of getting released from the abstracted, from the system that was built on, you've got a little bit of chaos, then you had to figure out who had access, where, how, how are you replicating and how are you backing it up over the policies, your plan compliance. And then it became chaos. And what I say to customers being data ready, saying do you have a strategy and a capability, more importantly to protect, manage, control and use that information in the way you wish to for competitive advantage. >>Just protecting it is like a life insurance policy, controlling, managing and using it as where you get the value out of it. Right? And so as companies become more data driven, this is where we help them. So the whole concept of the show, what we're sort of bringing to market is the fact that we can help our customers be data ready. And some of the technologies we've talked about today lend themselves to exactly that. Alright. So Sanjay, one of the questions many of us had coming into the show is how exactly Hedvig your, your first acquisition was going to play out. You made a comment in your, your opening keynote this morning that we need to rethink primary and secondary storage. So some of us read the tea leaves and be like, well, you know, you're selling an SDS storage, your, you're in the primary storage market as we would've called it before. >>Yes, the lines are blurring. I don't think those there. So I want to give you the chance to let us know where we're going. Years primary and secondary storage as we classified them, we're looking grayer and grayer mean they'll always be primary storage because there's always a certain user use cases for, for high-performance scale up capabilities. But a lot of the stuff was getting murky. You know, is it really primary? Is is it lower end primary, is it secondary and it doesn't, it shouldn't really matter. And with that, would that segmentation game a set of other capabilities like Oh, you know, file block, object cloud, more, more segmentation, more silo and more fragmentation. And I'm a big believer that this is all about software. The magic is in the software. And if you, if you forget for a minute that it's software defined storage as we call it today, but a set of capability's, a universal plane that allows you to truly define how customers get that ubiquity between any infrastructure that they run. >>Okay. Which in turn gives them the abstraction from the data that they bill. Okay. We've just taken a lot of workload and pressure off the customer to figure all that stuff out, keep whole manage. So I wouldn't get, I wouldn't get wrapped up on the whole storage thing as much as I would on the SA on the universal data plane or the data brain as I called it, nicknamed it in the show, you know, earlier as the left and right side one size, the data management, the other sizes, you know, traditional storage management. Yeah. Maybe I was reading too much in this. There's two brains. I think you've, you turn them sideways. They look like clouds too. But uh, yeah. Yeah. Um, partners wonder if you could speak, you know, we're talking about obviously the channel hugely important, we're going to talk to a lot of your team, but from a technology standpoint, you've got a lot of those hardware providers as well as different software companies that are here in the expo hall. >>Does metallic and Hedvig in those, you know, how will that change the relationships? I mean there's one, I've never built a business in my life that wasn't partner centric and partnerships to me is where both sides feel like they won. They went together. And so I've been very clear with our team, our channel, our board, our ecosystem that we're not doing this alone. That's not my intent. And our goal is to work together. Now we have partners in across the spectrum, cloud partners, technology partners like NetApp, HPE, Cisco. We've got ecosystem partners, the up the, the startups that are building new capabilities that we want to be, they want to be part of our ecosystem and vice versa. Traditional channel. Okay. so we've got the whole run of those, of those partnerships and we've been very focused. But we've also being very clear that we're in this for the long haul with them. Hedvig is today sold through channel and will continue to and metallic is built to be only sold through the channel. >>And you guys also, I was looking at some of the strategic changes that you've implemented since you've been here. Leadership changes to the sales organization, but even on the marketing side go to market. You mentioned that the channel opportunities for Hedvig as well as metallic, but also you guys have a new partner programmed, really aimed at going after and cultivating those large global enterprises with your SIS. So in terms of of you know, partner first, it really seems like the strategic directions that you're moving in are really underscoring that. >>Absolutely. Everything we do, every single thing we do is, you know, the question, the reviews we do, the internal inspection we do with the business. The, the way I look at the, the, the go to market conversations as to uh, the, you know, the pipeline is always about which partners involved, who's the partner involved, you know, and on an exception where we don't have a partner involved. My um, my F it's a flag to me going why? Um, no, we're, I don't know if you're speaking with Ricardo today or at some point he'll, he'll, he'll let you know exactly what we're doing there and how we think about it. And then we've just hired Marissa Rowe, I don't know, you know, Mercer and so Mercer's just come on board as our sort of partner lead worldwide. Yup. >>We're going to be talking with him as well. >>It's a cultural shift folks and we're completely committed to it. 100% committed. >>So one of the things that, that Stu and I were chatting about earlier today that you guys talked about in the keynote is in terms of how quickly metallic was conceived, design built really fast. Does that come from kind of a nod to your days at puppet where you are used to much shorter cycles? And how did, how did internally, the Combolt folks kind of react and we're able to get that done so quick. >>They embraced it. And I'll tell you, I'm, people will tell you that I'm used to saying this, this, this thing. I say that competition and time are not our friends. So we have to, we have to get out there before somebody else does. And if you're coming out with something, it's gotta be better than anybody else has. And so we all agreed there was a need for world-class solution, but we also understood that we had to do a differently doing it the way we've always built something probably probably wasn't the best answer. We needed to go shake things up because it's a different audience, a different delivery capability. But the beauty of the whole thing was that we had core technology at vault that was truly multi-tenanted, truly secure, truly scalable, which we had. This was years of, of great IP, which we took and we built on top of. >>And so we ended up focusing on the user experience and the capabilities of a SAS solution, the modern SAS solution as opposed to putting a wrapper of SAS around substandard technology. So in full credit to the team, we do 90 day releases on our core technology today. Right. So yeah, I think, I think that refresh cycle is what customers expect of us. That you know the and, and then that's what we do today. Right. So something, I don't think it's, I'm not giving myself any credit for it. Yeah. And Sanjay actually we had a customer on earlier talking about that cadence release cycle and he said to Combolt's credit, they're hitting it and it makes my life more predictable when the channels yeah. You know, and so they know when to expect something. So we have a 90 day and Tom will talk to you about this when he, when he comes on, how we get our channel ready for it, how are we enabled them, our own support so we give, so we are completely buttoned up and taking advantage of that release cycle. >>All right. Great. Sunday, nine months, you've already made quite a few moves in the test board, making a lot of pieces there from what we hear, you know, this is just the beginning. Give us a little bit going forward though those people watching what does Sanjay's next nine to 12 months, you know, foretold and as much as you think it's a lot of moving parts that we've, we've changed, um, there we're all part of a, of a roadmap that and so that, and I've been very open and public about it. When I came in there was a lot we had to do and I wanted to be really focused about getting this company back to growth and really helping you realize the potential that it had with, with its heritage of great technology, great customer base, great ecosystem. So I laid out a very simple three point plan, simplify, innovate, execute and tell. >>People are tired of me talking about it and giving me proof points that I'm done. I'm going to keep talking about it. And so simplify is everything about how we use the product, the user experience with us and how you engage with us. OK. innovators innovate in everything we do, products, experiences, everything we have to, we have to challenge the status quo and say it's a smarter way of doing it. Metallic is a complete encapsulation of that, of that energy. Okay. And the last is execute. It's all about getting out there and getting it done. Doing what we say and saying what we do. Just get it out there, get it done. And um, and I think the team has been amazing. They've just rallied around it. And if I embraced it, this is what I think this is what they want. So the changes, sorry, just sorry, I didn't mean to cut you off but it, I'll sum it up by saying that, you know, the nine months have been very focused in the direction making. Now it's about really making sure we help the company and how customers realize its true potential because the technology is great. The people are great. We're a good company. People love our technology. They stay with us forever. Because it does what it's supposed to. We just think we have a lot more to offer. Now. >>I know we're only day one at the show. Things did kick off a little bit yesterday with partners. What's some of the feedback that you've heard from those customers? Either those that have been using vault for 10 years or those that are maybe newer to the bandwagon? >>Well, somebody asked me if I had 10 cups of coffee before I went on stage in the sporting, but I think it's a good proxy for what I feel on the show. I feel incredible energy. I think that the customers, the partners, our own people, it's just, there's a buzz and you've been to shows before and some of them are just, you know, some of them have that energy and some of them are flat. Well this one's just full of energy and uh, and it's, it feels like a lot of adrenaline here and this people are excited and um, you know, I'm excited to go walk the floor. >>Well, your competitors are taking notice. There was some interesting digital signage yesterday at the airport. I noticed that that wasn't okay. I didn't, I missed it. Invitation. Highest form of flattery. Sanjay, >>I got the notice that there's, there's a lot of investment that goes into this. Uh, this, this segment of the market. It's been really hot. Um, what, what's your take on all the startups in as well as the, the, the big companies that have been putting a lot of it that it's an important space, right? Um, it's, it's, it's in the top three to five depending on which study you look at data protections back because it's one thing to have data and nothing to know that it is the way you want it. It's also a testimony to the a, it's not an easy space to get into when you're telling your customer that you're protecting them. That's a big word. Okay. I believe that you earn your way there day on day release, on release. And we've done that. I mean the animals the same good things about as in half a years we had customers on stage, you know, and it, customers don't just come up on stage and they, they really believe it. We have a, we had a pretty decent turnout at the partner event yesterday. You know, I think we're, we're in a great space at a great time and we've got 20 years of, of great pedigree that I don't take for granted as much as people sort of go, Oh, you're an old company. I go, Oh, don't mistake pedigree for anything else. You know, we've got some incredible IP over 800 active. >>Yes. >>You were sharing some of those thoughts this morning. I was looking to see where I put them. How are you guys leveraging the data that you have under management to make combos technology even better and to help make some of those strategic, >>it's this deep learning. It gives as much, you know, we applying AI implicitly. I don't want it to be an AI washing my technology for my customers. It's in there. It just works for them and it's my job to make my product better so they get more value out of it as opposed to for them to bolt on something to make my product better. So I don't, I really don't care what other shit about it. What I care about is I'm building that right into, into the intelligence. We have all the data, we know we, our customers use it, how they back it up, what their expectations are, what the SLS are, what their protocols are. We know this stuff and you, you have to, you know, we've been around enough to know this stuff. So now we're taking all of that with technologies like deep learning and machine learning and making the product better. >>So Sunday, one of the toughest things to do out there is have people learn, learn about somebody again for the, for the second time, you know, you only get one chance to make a first impression. So maybe I'd love your insight. You've been on board for nine months, you know, everybody knows Combolt it has a strong pedigree as you said, has a lot of patents. There's the culture there, but anything you've learned in the last nine months that you didn't know from the outside, he was still a pretty good secret. And there's a lot of people that don't know us as long as even though we've been around in the enterprise and and have have achieved a ton, there's still a ton of customers that don't know us and you know in our chops to get it out there. And if you've looked at our digital presence, if you've looked at how we're engaging online, it's a different Convolt. In fact, one of my favorite hashtags that's a, that that's trending at the show is a hashtag new comm vault. Is that right? I like that one. >>As I say, I might have started it, I don't know. But it is, it's an opportunity, right as to said, you know, we all wish sometimes in certain situations we could make a first impression. Again, I think you have that opportunity is you're saying there's, you have I she was saying close to 80% of, I think I read the other day, 75 80% of Commonweal's revenue comes from the fortune 500 you have the big presence with Bleagh global enterprises. This sustainability initiative that you were doing with the U N that Chris talked about. So there's, there's a lot of momentum behind that as well to take and really kind of maybe even leverage the voice of those enterprises to share with the world the benefits that Convolt provides. Like you said, data protection is hot. Again, if you have the data and it's, and you don't have the insight and it's not protected and you can't recover it quickly, then what value >>or used, if you can't use that know, why does it have to be compartmentalized where you say, Oh, that is my archive. Why can't I, why can't I say that? Yes, it is my archive, but I can, I can leverage that data for other things in my business. Okay. And so our product orchestrate allows customers to discovery to do, sorry, activate, not orchestrate to do eDiscovery, to curate information to use it for R and D to have a policy on sensitive governance needs. There's so much we can do with that, with with the data that's just sitting there, that and from different sources that I believe that at some level, protecting and protecting, managing and controlling our almost table stakes. So I'm raising the stakes uses where the magic is. >>All right, raising the stakes. Well, Sanjay, thank you so much for joining Stu and me on the cube today. Can't wait to see where those stakes are going to be. Combo go 2020 hashtag new comm volt hashtag new comm vault. Thanks Lisa. Thanks. Thank you so much. Hashtag new cobalt for Stewman eman and Sanjay Mirchandani and Lisa Martin, you're watching the cube from Cannonball. Go.

Published Date : Oct 15 2019

SUMMARY :

com vault go 2019 brought to you by Combolt. but he's kind of a big deal is the CEO of Commonwealth's on Jay Mirchandani. So you have come onboard to combo in about about nine months ago and And the last nine months has been about, you know, you know, we'll give you a chance. Um, so you know, Ferguson side a little bit as to how you want to make sure you're you know, the guardians of the data, the, you know, the compliance the application, how do you bind it, what are the protocols? Um, I love something you said in your keynote, you said data is at the center of everything you do because And you mindset, the Guppy do to convo because all we do, all we do is help our customers through debt, that digital transformation is that data drives the business. It, it absolutely should, but we're, when you talk with customers that have, So if you had an SAP system, your data was very tightly tied to that. So some of us read the tea leaves and be like, well, you know, you're selling an SDS storage, So I want to give you the chance to let us know where we're going. or the data brain as I called it, nicknamed it in the show, you know, earlier as the left and Does metallic and Hedvig in those, you know, how will that change the relationships? So in terms of of you know, the go to market conversations as to uh, the, you know, the pipeline is always about which partners It's a cultural shift folks and we're completely committed to it. So one of the things that, that Stu and I were chatting about earlier today that you guys talked about in the keynote is But the beauty of the whole thing was that we had core technology at vault that was truly So we have a 90 day and Tom will talk to you about this when he, Sanjay's next nine to 12 months, you know, foretold and as much as you think it's you know, the nine months have been very focused in the direction making. What's some of the feedback that you've heard you know, I'm excited to go walk the floor. I noticed that that wasn't okay. I believe that you earn your How are you guys leveraging the data that you It gives as much, you know, we applying AI implicitly. that don't know us and you know in our chops to get it out there. right as to said, you know, we all wish sometimes in certain situations we could make a first So I'm raising the stakes uses where the Well, Sanjay, thank you so much for joining Stu and me on the cube today.

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Honoré LaBourdette & Lakshmi Mandyam, VMware | VMworld 2019


 

>> Announcer: Live from San Francisco, celebrating 10 years of high tech coverage, it's theCUBE! Covering VMworld 2019. Brought to you by VMware and its ecosystem partners. >> Okay, welcome back everyone live CUBE coverage here in San Francisco at VMworld 2019 I'm Jon Furrier, my co-host this segment, Stu Miniman. 10 years Stu it's been a long run. A lot of CUBE alumnis around, we got two here. Honore LaBourdette Vice President go-to-market Telco Edge Cloud at VMware. And Lakshmi Mandyam, Vice President Product Manager, go-to-market Edge IoT at VMware. Great to see you, thanks for coming back. >> Thank you for having us. >> So, I think IoT's going to be a pretty big deal. 5G, jury's still out on 5G but it's looking good. Look, if Pat Gelsinger said it's going to be great, it's probably going to be great. What's new? Give us the update. >> Well, just a commentary on 5G, when you say you think it's going to be great, there is some skepticism in the marketplace because if you go back and look at all the different generations of cellular technologies, it's the odd numbers that have never been successful and the even numbers that have, from a monetary perspective for the telcos. Interesting thing about 5G is because it's such a system-oriented technology, that we do believe that it's going to enable a lot of the capabilities associated with IoT, right? So there's an interdependency between 5G and IoT and IoT and 5G that I think is going to make 5G more successful than any of its predecessors. >> All of us are nerds that geek out on RF and physics. I mean 5G has a lot of skeptics but they're deploying 5G, it's not like it's a vaporware. There are deployments going on in the United States, certainly outside of the United States. So it is real, it's actually happening. The question is what will be the impact to the network effect and what's it going to enable, which will certainly impact the industrial IoT and IoT markets. >> Well so one of the things that's happening with the deployments of 5G isn't just the innovation associated with the spectrum technology of five generations of mobile technology, right? There is an entire transformation happening with the core infrastructure of the telco network. And there's an interdependency there as well, right? So as the telco's software define the infrastructure on which they run all of their services, that then extends all the way through from the cloud to the core to the edge for all of the radio access and everything associated with 5G. >> And we're also seeing on the IoT side that there's a similar transformation going on, 'cause right now when you look at kind of example manufacturing, right? There's a real siloed infrastructure, siloed use cases and people are not able to scale and especially when you start to see the business impact that IoT's actually going to have, because most of the data that's being generated is actually being generated from the devices at the edge. And there's a viewpoint that a lot of the workloads that are actually being generated for the enterprise are actually going to be executed at the edge and when you take those things into consideration, it's really important to have an infrastructure that scales. And just like we've seen in other areas where a sprawl of infrastructure is really not going to be be effective in terms of delivering business value. That's the same problem that we see here. >> That brings up a good point. You mention systems view. I think this is interesting 'cause I think this business model innovation, as well as the architecture. I mean, you become what you're known for in the old infrastructure. You don't want that legacy to be dictating the new things, you mentioned backhaul. That's a topic that people talk about in the cellular business. You got the radios, you backhaul through a network, go to the core. But now you're getting at something different where if you're going to be backhauling, which implies moving packets around, moving data has become a really big problem or concern because the cost to move data, the physics involved, latency is a requirement. Processing at the edge becomes the new architecture. >> Yeah, I think the old paradigm was around moving data to the compute but the new paradigm is going to be moving compute to the data, especially on the edge and the IoT. And this is where managing that whole compute infrastructure is going to be really, really important. And that's what, you know, the VMware Telco Edge-- >> Well, we're going to ask Pat Gelsinger a question that riffs off what Dave asked years ago. Stu, I don't remember what year it was, 2012 or 2013, Dave Vellante asked Pat Gelsinger, "Is security a do-over?" You know Pat's very opinionated, he's like, "Absolutely a do-over." Really risky, bold take to say at that time, turns out he was right. The question I want to preview with you guys is, is the architecture a do-over? Because if you think about it, there's new capabilities, you mentioned the systems view. Is there an opportunity, not to throw it away, but like, just rethink it, get a second chance at deploying large scale edge, cloud, versus backhauling through the data center, maybe backhaul through the cloud. So, to me it's just kind of feels like a do-over. >> Well, there's very much an opportunity to, I'll say evolve rather than to do it over, right? 'Cause do-over kind of implies everybody's going to throw out everything that they have. But when you think about the beauty of software is that now we can have inherent security in all of the aspects of the software defined network all the way through the edge. So if you happened to hear Pat's keynote this morning, you know, he put up a slide of all the different security vendors across all of the different types of, the different areas of the clouds, the different cloud technologies and basically said that there is an opportunity now for us to do for security basically what we did for compute and networking and storage, by software defining that. And so that's the opportunity for security is to leverage all of what you can do with a software defined approach and have security be intrinsic to everything from the cloud to the core to the edge. And specifically for IoT. If you think about Lakshmi's comment about pushing the compute to the apps, and pushing the compute where the applications are going to be, or the user is going to be, I think there's going to be a greater requirement for security actually at the edge than even what we see in the cloud today. >> Lakshmi, you know, one of the comments we made is if you looked at the keynote this morning, the virtual machine is not the center of the the discussion. There's, you know, VMware, now plays a lot of places where that VM is not at the center. If you can bring us up to speed, when VMware looks at the edge architectures and how they're going to work with enterprises there, you know, what are the solutions that you're going to bring to bare out of the portfolio? >> Yeah so we have a, you know, when you think about IoT and there's all these things that are out there, oftentimes when someone installed it in the factory they didn't even update the factory settings, the threat surface of that is just expansive. And so, what we're doing with the product that I'm going to talk about, Pulse, we actually life cycle manage these devices, software updating, making sure that they're compliant with IT kind of security and other requirements. And so, what we see is the architecture, is we see kind of this managed infrastructure at the device level, that then feeds into kind of the thin edge, and you heard Pat talk about it this morning, right? Pulse and NSX and VeloCloud for the thin edge and that kind of, it's a continuum really. You can't define-- >> It's difficult to do. >> It's a continuum of compute ranging from very small footprint all the way up to our Dell EMC announcement. BMC on Dell EMC, sorry. >> We actually did some original research back when, you know, GE was putting together their industrial internet and one of the biggest stumbling blocks we saw is that huge gap between the IT and OT, they don't talk. You talk about the telco, that telco role doesn't tie in to the traditional data center world. It's at the edge and some expert comes in and does their piece but, you know, smashing these worlds together is a real challenge. >> What's interest-- >> Oh, I'm sorry. >> I was going to say 5G is the technology that I think is going to create the catalyst for those technologies to come together, right? So you have the enterprise edge, you have the industrial edge, and you have the telco edge. And over time, the more the telcos start pushing compute out to their edge, enterprise push compute out to their edge. And then you have all of these industrial IoT devices. The definition of the edge is going to begin to blur. >> I think this is, I think the IoT, industrial IoT, is probably the most important tech story this generation. It doesn't get as much play as AI, 'cause AI kind of sounds cooler, attracts young kids to be coders, but IoT is really the most important thing because think about the industrial IoT, the threats, cyber threats, cyber security. One hole, one hole and the attacker is in. Just to speak security and critical. >> I actually think it's beyond that because I don't know if you heard Pat talk about his definition of the edge, which is actually that merging of the digital and physical worlds. When you think about that, most of human problems can be solved by great technology, technology for good. And so you think about industries being pushed to produce more, 70% more food with just 5% extra land, or you know, carbon emissions, all of these problems which with good visibility control and management can be solved and that's really what we're trying to do-- >> Yeah, but good intentions, I understand where Pat's coming from. It's good, it's good marketing on the stage but the reality is, is when you roll out the tech to make that happen, if you don't have that security intrinsically pulled in, this means that you got to have the zero trust. But IoT is a different animal on a thin edge, than it is, say a data center. So like, it's just one of those things where we're watching 'cause it's just, there's so many, the service area is so large. >> Yeah, and in fact, one of the things that we're doing in terms of incorporating security in the management is looking at hardware Root of Trust right down to every device that's managed and being able to, you know, to attest whether something is legitimate or not. So we're rolling all of those things into our technologies. >> So, Pat brought up the telco. Earlier on, we were asking some of our guests about the business model on telco, because, you know, telcos have been struggling, they had owned infrastructure. So when you own infrastructure, it's hard to go out of business unless you actually run out of cash, but they had plenty of working capital, but they got to get their business model. You guys have any thoughts on as telco starts to modernize, whether they migrate and modernize or modernize and migrate with cloud, what's hopeful things that you can share that's showing business models for telco? Because 5G, someone's got to pay for it. It's not inexpensive to roll out 5G. >> So, what we're seeing with our telco customers is that they're finally beginning to realize that they can actually accelerate their time of revenue with new services, with a software defined infrastructure. So, I think when first we met, you know, we were in the early stages of developing the market for telco with software defined. But we've crossed the chasm now to where we have over a hundred discreet telcos that are in production on our platform. And so we have proof points that says, "Okay, now they can accelerate time to new revenue". What we're focused on now is helping them extend that out to the edge. And as you know, partners with Lakshmi, we see the telcos as a route to the enterprise market for our edge an IoT solutions. Right, so there's an opportunity for telcos to participate not just in the cloud economy but the edge economy. In terms of the business models, the change is driving the business model transformation. You know, the technology is driving business model transformation. But it's an excellent point. Its operating models are transforming, business models are transforming, and interestingly enough, commercial models are transforming as well. >> Lakshmi, you know the app side's going to be where the growth is now. Getting back to the good thing, once that infrastructure is stable, the apps can come out. So the application development, the microservices, that kind of to me connects that Kubernetes piece to it. That is an opportunity to telco providers, right? >> Yeah, absolutely. I mean again, it's all about deploying and managing applications right at the edge and so the infrastructure that we're building, with all of the announcements that you heard and the features that we're adding into the product profile is really about how do you deploy and manage these applications right down at the device level and that's really where I think it's going to transform. >> A lot of action. >> A study came out just yesterday that the edge market is targeted to be a $4.1 trillion market. >> Yeah, it's going to be huge. >> That's trillion with a T. >> Yeah, it's going to be huge. >> So, wondering what you can say about the ecosystem. Because, you know we've looked, VMware has always had ecosystems but it's many ecosystems, and you've got a cloud marketplace, and there's lots of different customers so will some of your existing partners go along with this, is it building out a new suite, you know, when you look at the edge and IoT? >> I think there will be a group of partners that come along, for sure, but, you know, IoT, especially when you think about industrial IoT, it is a new space of players and we're building that ecosystem and trying to figure out what customers want, right? Because, it's an ocean, you could boil it but that may not be the right approach. >> Yeah, I mean, it's like you said, there's a T on the TAM. It's a huge, huge TAM. It's going to be a huge application boom and IT culture's got to evolve from that perimeter-based security to a surface area that's out there, that's one light bulb on a factory, that IP enabled, could be a malware entry point. It could be something for a worm to get in there. >> Well, it's really like any device. What's that, any-- >> Any device, any application, any device, any Cloud. >> Any cloud, I think in IoT, it's anywhere. >> Anywhere, exactly. >> Totally, totally. >> And to your very accurate point about the security associated with that, right? In the telcos, actually owning that last mile. Right, so when we talk about $4.1 trillion of opportunity, and the need to develop an ecosystem that can support those edge and IoT solutions, the telcos really are in the cat seat to take advantage of that because they own that last mile of customer access, customer influence, they own the cell towers. Right, so as we push compute out to the radio access, telcos have an opportunity to participate. >> Honore, I want to get your thoughts while you're here and Lakshmi, if you can chime in, that's cool too. I'm doing a big editorial on industrial IoT national security. This all kind of leads into policy, potential regulation. You know, I mentioned tech for good, tech for bad is neutral how it's shaped. I'm assuming you guys are going to take a shape in some of those conversations. Any thoughts on regulatory things happening because with cyber security, cyber war that's happening on our digital turf, the telcos are in a prime position to assist and help shape that, you guys can do that. Any thoughts on how you see that, that conversation? Anything you'd like to add? >> So VMware is participating in consortiums associate with those very topics. And of course we are developing technology with an appreciation and understanding respect for the governing agencies across every country as it relates to privacy and security. And so I'm sure, you know and it varies from country to country. In terms of what data you have access to and how you deliver that data and what you do with that data, that's a really hot topic in Washington these days, right? >> And software helps too. >> Software does help, right? You have so much flexibility with software but at the same time you have so much risk that you have to prevent. What we've learned is, it's really about the individual's information. Whether that is a device or an industrial device or an end user or a potentially, a point of presence. It really does depend on what you do with that data, who touches the data, and where is that data going to be housed. And so each of the different countries, each of the different telcos, depending on their location are adhering to the governmental requirements for who does what with the data. >> Yeah, it's interesting, we just did a power panel in our studio, we had experts come in talking about called the "Cybergeddon" scenario, which is a hacker taking over not just malware and getting penetrated with worms and getting access to data, but actually taking over physical devices to harm people. So, this is kind of a nation threat thing. It's not so much a corporate thing, but you know, there is a shaping opportunity here when we're trying to identify where, you know, good governance, at least from a policy stand point, tech are coming together. More and more, it's happening. >> And of course, we participate very actively here in the U.S., right? Because we are a U.S. headquartered company. We try to participate where we can in some of the other countries for the regulatory agencies. And we're a part of the world economic forum. So through that vehicle, you know, through that consortium we're also trying to influence, for good, of course. We just recently, we announced this morning that we acquired Uhana and Uhana is an artificial intelligence machine learning and specific to telco, it will observe, analyze and report back on data all the way to the consumer level across a radio access network. And the one question we get asked from every telco that we do business with is, "What do you do with the data?" And of course, we don't do anything with the data. In that particular technology, we're observing it but we don't necessarily touch it. But you're exactly right, I think it's something that's going to be a hot topic for a time, awhile to come. >> It's an opportunity for tech for good. Guys, thanks for coming on, sharing your insights. Great to see you again, thanks for coming on. Great insights, a lot changing and certainly very relevant, the IoT Edge, telco, IoT's all happening, AI is a part of it. It's theCUBE, live coverage. I'm John Furrier with Stu Miniman. Be right back after this short break. (light techno music)

Published Date : Aug 26 2019

SUMMARY :

Brought to you by VMware and its ecosystem partners. Great to see you, thanks for coming back. So, I think IoT's going to be a pretty big deal. and the even numbers that have, There are deployments going on in the United States, the innovation associated with to scale and especially when you start or concern because the cost to move data, And that's what, you know, the VMware Telco Edge-- The question I want to preview with you guys is, is to leverage all of what you can do at the edge architectures and how they're going to work Yeah so we have a, you know, when you think to our Dell EMC announcement. and one of the biggest stumbling blocks we saw The definition of the edge is going to begin to blur. but IoT is really the most important thing And so you think about industries being pushed but the reality is, is when you roll out Yeah, and in fact, one of the things but they got to get their business model. is that they're finally beginning to realize that kind of to me connects that Kubernetes piece to it. and so the infrastructure that we're building, that the edge market is targeted is it building out a new suite, you know, but that may not be the right approach. It's going to be a huge application boom and IT culture's Well, it's really like any device. Any device, any application, of opportunity, and the need to develop an ecosystem to assist and help shape that, you guys can do that. And so I'm sure, you know and it varies but at the same time you have so much risk to identify where, you know, good governance, at least And the one question we get asked Great to see you again, thanks for coming on.

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Bob O’Donnell, Technalysis | Citrix Synergy 2019


 

>> Voiceover: Live, from Atlanta, Georgia, it's theCUBE, covering CITRIX Synergy, Atlanta 2019. Brought to you by: CITRIX. >> Welcome back to theCUBE. Lisa Martin with Keith Townsend coming to you live from Atlanta Georgia, our first day of coverage of Citrix Synergy 2019. Keith and I are very pleased to welcome you to theCUBE. For the first time, Bob O'Donnell, the founder and president of Technalysis. Bob, it's great to have you on theCUBE. >> Thank you. Great to be here I really appreciate it. It's my first chance to do theCUBE. It's exciting. >> We're so excited because you are no stranger to TV. Bloomberg, CNN, CNBC, Squawk Box, now theCUBE! >> Bob: And the now theCUBE! >> Keith: Most importantly- >> Bob: It completes the circle. >> He's a friend of Leo Laporte, which makes him a super star. >> All: (laughing) >> Well there you go. >> We're sitting in the presence of greatness. >> Oh, I don't know about that. But anyway, no, it's a pleasure to be here and it's nice to chat with you guys. It's a very interesting time that we're in. I mean, when we think about what's happening in the world. For years we've seen this move to cloud-based computing, and SaaS, and everything else. And everybody's excited about all of this stuff, and there's all these tools. And then on top of that, we thought, we have all these devices, right? We've got this amazing range of different devices we can use. But ironically, what it is, is we're in a state of too much of a good thing. It's too much. Even though if you think about it, you'd say, "Well, objectively, there's so much that "we could potentially do here. "I mean, we've got these tools that can do "this and this and this." But all of a sudden, "Well, except I got this one and this one, and this one. "And oh, by the way, if I want to send a message, "I can send it five different ways to Sunday, "and therefore if I want to read a message, "I have to be able to read it "five different ways from Sunday." And so, the challenge that you face is, and Citrix talked about it, I thought, quite nicely in their keynote this morning, is people get overwhelmed. And they just can't get productive with what they're trying to do. And so, what you need to do it figure out ways to turn that chaos into structure and order. And that's what they're trying to do with the workspace. And it looks pretty cool. >> Yeah, one of the offline conversations I had was you get all these tools. It's like somebody took a box of 10,000 Legos and just jumped it on your desk and said, "Build a masterpiece." And what I head this morning was the equivalent of what was like a Star Wars kid of like, "This is what you can build. Here's the directions, "and now you can start to deviate and customize it "for your environment." So one of the things that I'd love to get your input on is this concept of AI ML. This ideal of taking tasks and automating them. It's nothing new. We've tried this with macros and other areas. But the thing that was missing was, these tools were pretty dumb. >> Bob: Right. So the promise of ML AI should make these tools become real. What's your impression of the state of the technology versus what was presented today. >> Well, look, we're in very early days of AI and ML. There are some fascinating things out there. There's a lot of the high profile things that we hear about. The ImageNet and the ability to recognize every kind of dog known to mankind, and all the demos we've all seen at every other trade show. It really is, the fascinating part, exactly, to your point, is that the goal with AI and machine learning is to actually makes things understand. And it's fascinating because... I'll take a bit of a sidetrack but bring it back. When devices started to be able to recognize our words, we assumed, because we're human beings, that they recognized what we meant. But, no. There's a big jump between the words that you can transcribe, and what you actually mean. >> Yeah. That context. >> Context is everything. And context is something that, again as human beings, we take it for granted. But you can't take that for granted when it comes to technology and products. So, the beauty of AI as it starts to get deployed is how do we get the context around what it is that we're trying to do, what we meant to say. Of course, we all want that in real life: "What I meant to say was..." But, "what I meant to do was this." Or, "the task I want to do is that." So, taking that back to what Citrix is talking about is there are a lot of rote procedural things that people do in most organizations. And they gave the classic examples of proving the expense reports and this and that. So, clearly, some of those things they can pre-build. The micro apps, in a lot of ways, they really are macros. It's kind of a fancy macro. And that's fine, but the question is are they smart enough to kind of deviate, "Oh, well, there's a conditional branch "that it automatically builds in a macro "that I didn't have to think about "because it realizes in the context of what I'm doing "that it means something else." Or something like that. >> At the end of the day, I want to get the account balance, however that translates. As opposed to: take this column from row A and put it in row B. No, sometimes row A won't be the correct destination. I want the account balance. >> Right, right. >> And the other truth of the matter is we're still getting used to actually talking to our devices. We do that at home to some degree for people who have Alexas, unless they've decided to stop recording everything, and then that's a whole different subject. But, at work we don't. Interestingly, I remember when I first saw Cortana, for example, on a Windows machine. I thought, in a weird way, Cortana makes more sense because I should want... But it hasn't really happened. It hasn't played out. So there's some level of discomfort of talking to our devices and recognizing these things. So, I think there are cultural issues you still have to overcome. There are physical issues in the workplace, now. Now, when you have these open office environments, which doesn't take a rocket scientist to know that that was going to be a disaster. Whoever thought that was smart, man, let's take a look at where their degree came from. But that's the reality that people are in. So, you've got the physical environment challenges. You've got the cultural "how do I work with this?" environment. And then just starting to realize what it can actually do. And then, of course, you have the problem that it didn't recognize what it actually said. That's something stupid, and the original Siri problems that we all had. But, all of these things tie together because they're all different takes on what machine learning has the potential to do and what we think it should do, and what it can actually do. The one thing I will say is as we head towards 2020, I think we're going to start to finally see some of these things do what we thought they were going to do. They're going to start to have the context. They're going to start to have the intelligence. So, in the work space, it's going to have the ability to know what I mean when I say, "I need the account balance." Or, "I need to know where in the sales pipeline "this particular project is," or whatever task it is that I've got to deal with. And so, understanding that and then building the plumbing to do that is critical. One of the interesting things, if you look at what Citrix does, they're really all about plumbing. They have this ability to pull together all these different elements. From the beginning, what we started talking about. All these different applications over different types of network speeds and connections and make them all work. And yet, they present this very simplified, beautiful, nice little, you're like, "oh, this is great!" But, man, buried beneath there is a lot of stuff. And that's, to give them credit, that's what they're really good at doing. And companies now, the challenge is, a lot of companies have really old applications that they've got to kind of modernize in some way shape or form. And some of them are doing it on their own. They're doing the containerization and all the things we hear about as well. Some of them are wrapping them. Citrix, some of their original business, XenApp, was about app virtualization. Taking an old app and giving access in a modern way. So, again, it's doing that, but the other problem you have to bear in mind, excuse me, is that every company has a different combination of apps. They said 500 apps is normal. A lot of companies have more than that. >> Keith: Mhm. (affirmative) >> The problem is, it's not the same five hundred apps. This company has this set of 500 apps. This company has this set of 500 apps. This company has this set of 500 apps, and maybe 150 of them overlap, which means the long tail of 350 per company has to be dealt with and figured out. And that's, again, those are the problems that they're trying to solve and bring in to a unified environment. >> And also manage these growing expectations that all of us that are workers have from the consumer side of our lives. You mentioned Alexa and Siri, and we have these growing experiences that whether I'm talking to a device or I'm going on Amazon, I want it to know what I want. Don't show me something I've already purchased. And we have these expectations as humans and consumers that we want the apps when we get to work to understand the context and of course, we're asking a lot. In your opinion, where is Citrix in starting to help manage, helping their customers, rather, manage those growing expectations? >> I think Citrix has done a lot in that area. Even many, many years ago they were the first to come up with the notion of an enterprise app store. In the early days of the app store, they came out with this concept of, "We want to do an enterprise equivalent of that." When I download an app that I need to install on a work PC, make it easy to get at. So, from way back when they've been building on that. And then, the examples they gave today, the notification from the airline that your flight has changed, or whatever. Those are all the experiences that we're now used to thanks to cloud-based services. And their point is like, "Hey, why shouldn't we "have that at work, as well?" And so that's exactly what they're trying to work towards, is that notion of cloud-based notifications and services, and things, but related to the specific tasks I have to do. Because at the end of the day, they want to drive productivity. Because we all waste stupid amounts of time, and truth be told, the bigger the company you're at, the more time you waste because of just keeping up. I used to work at a big research firm of 1200 people, and literally half my day, every day, was just procedural stuff. I didn't actually work on the stuff that I thought I was hired to do, except for maybe half the day. And with a lot of people, that's very common. So, anything that can be done to reduce that and allow people to get through the procedural stuff a little bit more efficiently, and then actually let them do the work that they were hired to do and that they'd like to do, and oh, by the way, gives them more satisfaction. All of these things tie together. People tend to say, "Oh well, you know, "that's nice to do, this consumerization of IT, "that's nice." It's not just nice. It's actually practical. It's actually a real productivity enhancing capability. And I think Citrix has done an excellent job of driving that message. It's hard to to do because, again, the complexity of the plumbing necessary is super difficult. But their head and their heart are in the right place in terms of trying to achieve that. >> Well, it sounds absolutely like not a "nice to have," but business-critical. One of the stats that David Henshall, their CEO, said this morning, and Keith's been mentioning a number of times, is that he said there's 7 trillion dollars wasted on output because employees are not able to get to their functions that they were hired for in a timely manner. >> Right. >> So, there's a huge addressable market there of opportunity but also the consumerization that's personalization expectation is huge to not just making me, Lisa Martin, as an employee happy, but my business's customers that I'm dealing with. I think of a sales person, or even a call center support person. If they don't have access to that information, "She already called in about this problem 'with her cable ISP," that person is going to go turn, and go find another option that's going to fulfill their needs much better. >> That's absolutely right. And that was the interesting point that they made. And that's what they're trying to do with the intelligent work space is to move beyond just providing these apps, but actually personalizing it to each individual and being able to say, "All right, each of us are going to have a workspace." Sort of, it looks kind of like a news feed kind of a thing. Each one is going to be different though, based upon, obviously, the different tasks that we do, the order with which we do them, the manner with which we do them." So it does get personalized. The notifications, you know, I may want certain notifications that you don't really care about as much. But that's fine. We can each create that level of personalization and customization. And again, what Citrix is trying to do, and it was a key point that P.J. made, is, "Look, we're not just building an application. "We're building a platform." And that's... The significance of that is big. And remember, he came from Microsoft. He worked on Windows. He worked on Office. So, he's got a long history of working on building platform based tools that have tools that you can build on. That have APIs and ways for other people to add to. So, all of those are critical parts of how they tell that story, and how they get people enthralled enough to say, "Hey, I'm going to make the commitment to do it." Because look, it's a lot of work. Let's not kid ourselves. If I'm not a Citrix shop, but I go, "Damn, that's cool!" There's a fair amount of effort to make all this stuff actually happen. So, it's a commitment. But, once they get them hooked it's a pretty sticky type of environment. Especially as they continue to deliver value and personalization and customization. That, at the end of the day, drives productivity. And that's a pretty straight forward message: "Hey, we can save your workers time "and make them happier." Well, who doesn't want that, right? >> So, let's talk about engaging your customers. Like, I can look at this, and I can easily, say I can come to a conference like this and say, "Wow, I really want the output. I don't want "any of that employee experience stuff. "That stuff just sounds hard, "but the output I definitely want." Talk to me about the evolution of your customers as you walk them through if you want the output, here's what you have to do. And talk to me about, specifically, the success stories of where they didn't get it, and then after you've engaged them, they got it. >> Well, there's so many different variations out there. But, at the end of the day, every company out there is dealing with the fact that they have workers that work in a lot of places on a lot of devices and they have to allow them to get stuff done. And so, it's about how much are they willing to do to make that happen? But there's the psychology of it. There is the whole, "how much of this am I willing to outsource?" Versus, "I really want to keep it inside." So, it depends on the industry and the level of if they are a regulated industry, and all those things have an enormous impact on how they do this. But, if you think back, Citrix's original business was, a lot of it, was again, around desktop virtualization, and actually trying to get really old school stuff, I'm taking mainframe green screen stuff, to actually run on an old Windows PC. And that was kind of a lot of what they did, initially. And then, of course, they've built on from there. So, all along the way, you see different organizations. Citrix has been thought of more as more of the old school kind of enterprise software. Along with an SAP or an Oracle so something like that. I think they've done a particularly good job of being cloud native, cloud aware, and working with these cloud-based tools. Because early on, when we think about what happened with SaaS applications, people thought that was going to dramatically change how anybody did software. And it did, but not in the way people expected. So, I'm trying to get an answer, specifically, to your question, but I think what it is is what they're doing, and what companies who deploy it find is that they can take even these completely different types of software and services, and ServiceNow, and Salesforce, and Workday, and all these kinds of things that are dramatically different, but still, again, have overlapping functionality if I use all of them, and conflict or counteract or interact, or need to interact with other tools I already have that I'm working to change. So, again, what I think that what Citrix has done a good job is they're able to look at the wide range of stuff that people have in that 500 group of apps, or whatever it is, and be able to say, "All right, ten of those are cloud-based services. "But we've got 490 other ones we've got to deal with." And they have different levels of technologies to deal with those. So, what companies can do is they can also pick and choose. They can say, "Look, we're not going to get all 500 apps in our workspace." Maybe they just decide, "But we're going to do these twelve, "five of which are SaaS-based, "and then we've got a couple other critical ones "that we have to do, and that hits 80% of our workers." And they can tackle it that way. So, the bottom line is companies who... Look, it's a big investment up front. So the process is you have to psychologically say, "I'm willing to make an investment in," not obviously, just now, but their roadmap. What they're doing. What they're talking about. That's why they talk a lot about the future because if I buy into this ecosystem, I'm committed. Right? Again, I talking about that earlier: The stickiness question. So, companies who are doing this kind of thing, companies who are trying to make sense of all these applications have to be willing to make those big investments. It used to be, it used to have a huge Citrix server farms, as well. Obviously, with the development of the Cloud and Citrix Cloud, that's all changed. But, it's still a big investment, and they have to work to figure out ways to do this. And if they do, to finally get to, you know, they do see productivity savings. I mean, Citrix is, I don't remember the numbers, but they can qualify actual time saved when their solutions are installed, and that's the benefits that these companies get. So, they have to measure how much is my employee time worth versus the cost of getting these things deployed? >> Well, and I think that's going to be a differentiator for them. I wish we had more time because we could keep talking to you for a long time, but you got to add theCUBE to your list of TV: Bloomberg, CNBC, >> Bob: It's all there. Hey, I'm excited. >> Squawk Box, Now, theCUBE. Bob, it has been such a pleasure to have you on theCUBE. >> Thank you. >> We appreciate your time. >> Thanks so much. Appreciate being here, thank you. >> Our pleasure. For Keith Townsend, I am Lisa Martin. You're watching theCUBE, live from CITRIX Synergy 2019. Thanks for watching. (upbeat techno music)

Published Date : May 21 2019

SUMMARY :

Brought to you by: CITRIX. Bob, it's great to have you on theCUBE. Great to be here to TV. He's a friend of Leo Laporte, and it's nice to chat with you guys. So one of the things that I'd love to get the technology versus what was presented today. The ImageNet and the ability to recognize So, the beauty of AI as it starts to get deployed At the end of the day, And then just starting to realize what it can actually do. and bring in to a unified environment. and consumers that we want the apps when we get to work of the app store, they came out with this concept of, One of the stats that David Henshall, their CEO, and go find another option that's going to and how they get people enthralled enough to say, And talk to me about, specifically, And if they do, to finally get to, you know, Well, and I think that's going to be Bob: It's all there. to have you on theCUBE. Thanks so much. Thanks for watching.

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Randall Hunt, AWS | VTUG Winter Warmer 2019


 

from Gillette Stadium in Foxborough Massachusetts it's the cube covering Vita winter warmer 2019 brought to you by silicon angle media hi I'm Stu minimun and this is the cube at V tug winter warmer 2019 at Gillette Stadium home of the New England Patriots the AFC Championship team going to the Super Bowl third year in a row yet again Randall right yeah paying it's my Los Angeles Rams oh so happy to welcome to the program Randall hunt who's a software engineer with AWS did a keynote this morning I believe it was a hundred AWS features in 50 minutes and felt like you we added a couple more than 100 and went a little over 50 minutes but I think we probably hit 57 minutes that was what the slide counter said but yeah I added a couple of the updates since reinvent you know reinvent is not the end of our innovation we continued releasing new stuff after that all right so our program we're not going to be showing JavaScript we're gonna take a deep breath and slow down a little bit because you know our audience absolutely knows Amazon I tell you this show remember like four years ago first time AWS presented me at Microsoft and AWS here and people heard cloud 101 and I was like come on I could have given this presentation and they were walking around like oh my god I just you know found out that you know who you know horseless carriages and I can do that do them and things like this so you know cloud we've been there for a decade but we're still I believe you know day zero day one is what Amazon always likes this is day one it's always day one so there's no way we can shove the entire reinventing keynote into this discussion so you know want to start first Tulsa rent a little bit about yourself your role what you work on and what customers you talk to sure so I studied physics and then I found out physicists don't really make any money so I became a software engineer and I worked at NASA I worked at SpaceX and worked with this company called MongoDB back then it was called Tianjin and then I am an Amazon I was my second time around in Amazon I'm a software engineer there but I'm also a Technical Evangelist and what that means is I get to travel around the world and make make all of the demos and chat with all of our customers and kind of solicit feedback from them and then kind of try to act as the voice of the customer for the service teams whenever I can get them to listen yeah so probably not going to go into open source versus software licensing of things with you because we want to make sure that we can publish I tell you space is one of those things I love it when I've interviewed people that have been in space I've talked to lots of companies that have our code in space Amazon you have I loved you know robotics and space are hard and we make it easy and I kind of laugh cuz I was an engineer as an undergrad I mean I studied a little bit of you know what it takes to break gravity and understand I always love watching you know all the shows about space and track SpaceX would you work for and things like that give me a break you haven't made space easy well I think space as a whole is getting easier this industry is becoming more approachable one of the things that we launched to reinvent this year was a ground station and this is something where if you have an S band or UHF you know satellite and leo which is low Earth orbit or mio which is medium Earth orbit you can basically down stream that data to one of these ground stations which is you know essentially attach to a region you know in this case us East 2 which is in a like Ohio area and you can go and say hey just stream this data into s3 for me or you know let me access this from my V PC which is pretty gnarly if you think about it you know you have a you have an IP address which is a satellite in space yeah I love I worked on replication technology 15 years ago and it was like okay can the application take the ping off the satellite or you know how do we do this so look we're leveraging satellites a little bit more I understand it's a great tagline to make those useful and more readily just you know it's amazing you think about when you think about my availability zones and regions it's now you know that things aren't just on the Terra Firma well I'm looking forward to the first availability zone on the on the moon or on Mars that that'll be you know when we have utopia planitia 1a that'll be the really cool AZ alright we heard the first blue origins working to Mars no well the latency you know if you have 300,000 and fit three hundred fifty thousand kilometers on average between the Earth and the moon so you know you can go around the earth it would speed of light 7.5 times every second to go to the moon is a fool I hang it's like six seven seconds or so so the latency requirements become a little bit harder there I roll more my wrong pin I have I have the Grace Hopper nanosecond which is the wit which is you know curled up and if you follow the white thing it's how long light would take to travel that and it does it in two nanoseconds so you got me I'm a physics lover and love space as does a lot of our audience so bring it down to the thing one of the things that amazon has done really well is I don't need to be a physics geek to be able to use this technology we're having arguments as to you know if I'm starting out or if I want to restart my career today do I go code or heck you know let me just use lambda and all these wonderful things that Amazon have and I might not even need to know traditional coding I mean when I learned programming you know it was you learned logic and wrote lines of code and then when you went to coding it's pulling pieces and modifying things and in the future it's it seems like serverless goes even further along that spectrum I definitely think there's opportunities for folks who have just you know I don't want to say modest coding abilities but people who were kind of you know industry adjacent scientists you know data scientists folks like that who may not necessarily be software engineers or have the they couldn't recite in Big O notation for mergesort and things like that from scratch you know but they know how to write basic code there's a lot of opportunity now for those developers and I'll call them developers to go and write a lambda function and just have it accomplishing a large portion of their business logic for their whole company I think the you know you have a spectrum of compute options you have you know ec2 on the one side and then you have containers and then as you move towards service you get this this you know spectrum between Fargate and lambda and lambda being the the chief level of abstraction but I I think in a couple cases you can you know even go further than that with things like amplify which is a service that well it's an open source project that we launched and it's also a service that we launched and it takes together a bunch of different AWS services things like app sank and kognito and lambda and it merges them all together with one CLI call you can go and say hey spin up a static site for me like a Hugo static site or something and it'll build the code pipeline build all that stuff for you without you having to you know worry about all the stuff and if developers are starting new today you know I remember when I started I really had to go deep on some of the networking stuff you know I had to learn all these different routers and like how to program them and these like the industry router so you know the million dollar ones and having to rack and stack this stuff and the knowledge is not really needed to operate of large-scale enterprise you know if you if you know a Ralph's table and you you you know V pcs you know you can run you know a multi-billion dollar company if you want yeah it's been interesting to watch too and you know I think the last five years the proliferation of services in AWS got to a point where is like oh my gosh if I wanted to kind of configure a server for my datacenter or configure an equivalent something that I wanted at AWS there was more choices in the public cloud than there was there and people like oh my gosh how do I learn it how do I do this but what we start to see is it's more don't need to do that because what do I want to do if there's an application that I can run where services that will help make it easier for me to do that because the whole it's not let me replicate what I was doing here and do it there but I have to kind of start with a clean sheet of paper and say okay well what what's the goal what data do I need what applications do I need to build and start there I'm curious what you see and how do you help companies through that so that this is a really common scenario so I this is a kind of key point here is enterprises and companies have existed since before the cloud was really around so why do we keep seeing so much uptick why do we keep seeing so many customers moving into the cloud and how do we make it easier for customers to get into the cloud with their existing workloads so along that same spectrum if you have greenfield projects if I were running my own company and I were doing everything I would absolutely start in the cloud and I would build everything as kind of cloud native and if you want to migrate these existing workloads that's part of the one of the things that we launched this year in partnership with VMware is VMware kind of interface for AWS so you can use your native vCenter and vSphere kind of control plane to access EBS to access route 53 and ec2 and all the other kind of underlying stuff that you are interested in run it you can even do RDS on VMware in my environment so that line is definitely blurring between my stuff and my stuff somewhere else and when people are talking about migrating workloads right you know you can take the lowest hanging fruit the most orthogonal piece of your infrastructure and you can say hey let me take this piece as an experimental proof of concept workload and what kind of lift and shift it into the cloud and then let me build the accoutrement the glue and all the other stuff that kind of is associated with that workload cloud native and you'll get additional agility your you know 1:1 ops person can manage this whole suite of things across 19 20 regions of AWS and you know there's kind of global availability and all this kind of good stuff that typically comes with the cloud and in addition to that as you keep moving more and more workloads over it's not like it's a static thing you know you can evolve you can adjust the application you can add new features and you can build new stuff as your move these applications over to the cloud yeah and it's interesting because just the dynamics are changing so much so there's been there's still so much movement to the cloud and then oh well some people I'm pulling stuff back and then you see you have a WS outposts so later 2019 we expect to Amazon to have you know footprint in people's environments and then you know Jeff just to make things even more complicated well the whole edge computing IOT and the like which you know everything from snowball and these pieces so the answer is it gets even more complicated but you know your your AWS I know is trying to help simplify this for use right the board I think I can say anything at all about AWS it's that if a customer is asking us to build something we are gonna do our best to make that customer happy we take customer feedback so incredibly seriously in all of our meetings all of our service team meetings you know we that voice of the customer is very strong and so if people are saying hey I want a AWS in my own datacenter you know that's kind of the genesis of outpost and it's this idea that well we have this control plane we have this hardware let's figure out how we can get it to more customers and customers are saying hey I want into my data center I want to just be able to plug in some fiber and plug in some power and I want it to work and that's the idea right we're gonna when I think of every company that I've watched there's usually something that people will gripe about and what I've been very impressed with Amazon Amazon absolutely listens and moves pretty fast to be able to address things and if you see you know if I'm a competitor of Amazon I'm like oh well you know this is the way that we get in there you know where we think we have an advantage chances are that Amazon is addressing it looking to you know move past it and you know absolutely the Amazon of 2019 is sure not the Amazon of 2018 or you know when you thought about it you know 2015 and it's big challenge for people as to because usually I think of something and you never get a second chance to make a first impression but it changes so much right everything changes that you know I need to revisit it it's like oh well this is the way I do things well Amazon has five different ways you can do that now um you know which one fits you best and I think that's important is different applications gonna have different characteristics that you want to be able to pull in and run in different ways yeah you know honestly I'm a huge fan of service I I think service is where a ton of different workloads are going to move into the future and I just see more and more companies migrating their existing you know everything from elastic Beanstalk applications so like vdq you know VMware images into the service environment and I like seeing that kind of uptick and someone recently I I can't remember who it was someone sent me a screenshot of their console with their ec2 instances in 2010 and maybe it was part of this 10-year challenge thing on Twitter where it's 2009 versus 2019 but they sent me you know they're in one large and the screenshot of the console from back then and they sent me a screenshot of 2019 and Wow things really have changed and you don't really notice it as much when you're using it every day but I can imagine you know their their Ops teams where they haven't logged into the console in three years because you know everything is done kind of in an automated fashion they set up their auto scaling group you know three years ago and then the only time they ever log in is to update to new instance types or something for the cost savings and I get messages on Twitter sometimes from people who are like whoa console got an update this is so cool and then sometimes we we get messages from people where you know we changed the EBS volume snapshotting things we had somebody who had it was like 130,000 EBS snapshots or something and they were like hey you removed my ability for me to select multiple snapshots it what it's like well you have a hundred and thirty thousand so we went in into the UI and we added a little icon that works better for large groups of snapshots you know if there's a customer pain point we will do everything we can to address it all right Randall Hunt really appreciate you sharing with us your experience what's going on with customers and absolutely that 10-year challenge we know things change fast we used to measure in decades I say now it's usually more like you know 18 to 24 months before between everything AWS in 2029 it's gonna be crazy and I can't I can't imagine what its gonna look like then all right well the cube we started broadcasting from in 2010 we appreciate you staying with us through 2019 check out the cube net for all of our programming I'm Stu minimun and thanks so much for watching the key

Published Date : Jan 29 2019

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Adriana Gascoigne, Girls in Tech | Girls in Tech Catalyst Conference 2018


 

>> From San Francisco, it's theCUBE. Covering Girls in Tech Catalyst Conference. Brought to you by Girls in Tech. (upbeat music) >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're in downtown San Francisco at the Girls in Tech Catalyst event. About 700 professionals, mainly women, a few men a busload of some kids came in to watch as well. And we're really excited to have the founder and CEO of Girls in Tech, Adriana Gascoigne. Adriana, first off congratulations on another great event. >> Thank you! Thanks so much, it's been awesome. All the energy, all the vibrancy in the room everyone's here to learn and grow and listen to these amazingly accomplished speakers from astronauts to venture capitalists to serial entrepreneurs, it's really exciting. >> They're great stories, I mean it's a really cool program just a single track program, single room. And they can have, how many sessions all together probably 30, like 15 a day? >> Lots. >> (chuckling) Lots. More than you can count. >> I think it's about 20 per day and then we also have some breakout sessions like workshops so it's a little more hands-on. We had a cocktail party last night, a lot of networking, a lot of connecting. So a lot of really productive ways of helping careers develop and also finding out about new and interesting opportunities and really connecting with other women in tech. Both in the high-tech sector as well as the start-up sector so it's really cool. >> Just some really simple advice, right? Like raise your hand, take advantage of new opportunities. Go into areas that you don't have expertise in. >> Be authentic, yeah. >> Ask questions. Be authentic, be curious. And that's what I really like. It's good, actionable, simple, straightforward things that you can do to advance your career. >> Exactly, exactly. >> You are everywhere. This organization has grown, (Adriana laughs) I keep an eye out on you on twitter and stuff obviously and you are all over the world so give us kind of an update as to where Girls in Tech is in terms of members and locations and kind of how it's grown over 11 years you've been at it. >> Yeah, over 11 years and our international or global footprint is something we're extremely proud of. We're in 60 chapters, so 60 cities around the world, in 36 countries and in six continents. And now we have over a hundred thousand active members. By the end of 2020, we're increasing that to 200,000 active members, approximately. And we're growing into 45 different cities and hopefully, knock on wood, in 100 chapters. So that's a pretty massive growth spurt that we're experiencing and there's just huge demand. Right now we have a list of over 160 people who want to start chapters in their city which is really telling about what people think about Girls in Tech, how our programs are impacting these tech communities, how we're empowering women to have a voice and really creating change within societies. So for us it's a pride thing but it's also the impact that we're making and really encouraging women to excel in their careers in tech. Whether it's become a manager at a start-up, or a high-tech executive, or start their own company. Everyone has a different path. We want people to find their passion and purpose in life and achieve that. Because if you do what you love and, you know, a lot of us do what we love, some of us don't. But if you do what you love you can be way more productive and happier. And at the end of the day, isn't that our goal? >> Exactly, and so much of the corporate participation has just skyrocketed too, since I think we first saw you a couple years ago in Phoenix. The number of corporate logos on the banner is fantastic. And really, the messages from the people we've talked to today is they not only see the value but want to get more involved and do more events with you guys. 'Cause they see, and it's altruistic a little bit, but it's also real basic business ROI. They need more good people and this is an avenue to get more good people. >> Exactly. I think diversity, inclusion is no longer a buzzword. They're really seeing the ROI in creating diverse workforces. It helps with building revenue. Right, so if you have a more diverse and innovative workforce, then you're able to create products and services that are more diverse, more comprehensive. You have more opportunities to problem solve in a creative way, so really there is a lot of different elements in addition to creating a company culture that's more conducive to creating safety and comfortable work environments for all employees. Minority groups, people of different genders, et cetera. So I think that it's something that is not just like I said, not just a buzzword. It's really important that they incorporate it into their strategy, overall business strategy. Recruiters are now flagging it as something that's extremely important 'cause they are seeing how it really impacts the company and their business. >> Right, really interesting story on the GoDaddy side. We've interviewed GoDaddy a ton of times at Grace Hopper. And I remember like GoDaddy, what are you doing at Grace Hopper? You guys were like the not as Grace Hopper of all. But they changed their culture and the interesting part of the story is it's a lot of little small steps can actually have a really, really big impact. And they've completely turned it and oh by the way, their financials are looking pretty good as well. So it definitely pays. >> Yeah, it's amazing. Yeah, GoDaddy was actually my very first sponsor. >> Really? >> Yeah. And so it's really exciting to see that. And people actually asked me, I mean they're so controversial, or they were in their Superbowl ads. Like, why would you go out on a limb and work with them? And I said, well I talked to their whole executive team. They hired this amazing CTO, happens to be a woman. We had multiple discussions about them changing their brand around and you know, everyone deserves a second chance, I believe. And so they ended up supporting not only the organization, but me as their leader, and I owe them a lot for that because we were able to produce the first Catalyst Conference as a result and many other programs. And more importantly start hiring a staff, have money to invest in operations, different resources for our chapters around the world, deploy more programs like our coding boot camps, our amplify business pitch competition, our global classroom which is our e-learning platform, our hacking for humanity series, so GoDaddy is is really, has been really a strong partner to us and we owe them a lot for our success. >> Right, well it's funny too, 'cause she said that they did the analysis and like 60% of their customers were women operating small businesses and it's like, hello, maybe there's a good thing there. >> Yeah, that is the entrepreneurial sector. That is the target, yeah. >> Well I know you're super, super busy. Give you the last word before I let you go, and again, thanks for having us. We're super excited to be back here again. And really, you put on such a great program. >> Thanks so much. Yeah, we always love working with theCUBE and we love you guys having a presence here and capturing the amazing soundbites and stories from our very accomplished speakers who happen to be amazingly passionate and amazingly altruistic. >> Yes, there's no shortage of energy in the room even though they're all a little tired, been a long week. (both laughing) All right well thanks again. >> Thank you. >> She's Adriana, I'm Jeff Frick, you're watching theCUBE from Girls in Tech Catalyst 2018. Thanks for watching. (upbeat music)

Published Date : Jun 21 2018

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Adriana Gascoigne, Girls in Tech | Girls in Tech Catalyst Conference 2018


 

>> From San Francisco, it's theCUBE. Covering Girls in Tech Catalyst Conference. Brought to you by Girls in Tech. (upbeat music) >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're in downtown San Francisco at the Girls in Tech Catalyst event. About 700 professionals, mainly women, a few men a busload of some kids came in to watch as well. And we're really excited to have the founder and CEO of Girls in Tech, Adriana Gascoigne. Adriana, first off congratulations on another great event. >> Thank you! Thanks so much, it's been awesome. All the energy, all the vibrancy in the room everyone's here to learn and grow and listen to these amazingly accomplished speakers from astronauts to venture capitalists to serial entrepreneurs, it's really exciting. >> They're great stories, I mean it's a really cool program just a single track program, single room. And they can have, how many sessions all together probably 30, like 15 a day? >> Lots. >> (chuckling) Lots. 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This organization has grown, (Adriana laughs) I keep an eye out on you on twitter and stuff obviously and you are all over the world so give us kind of an update as to where Girls in Tech is in terms of members and locations and kind of how it's grown over 11 years you've been at it. >> Yeah, over 11 years and our international or global footprint is something we're extremely proud of. We're in 60 chapters, so 60 cities around the world, in 36 countries and in six continents. And now we have over a hundred thousand active members. By the end of 2020, we're increasing that to 200,000 active members, approximately. And we're growing into 45 different cities and hopefully, knock on wood, in 100 chapters. So that's a pretty massive growth spurt that we're experiencing and there's just huge demand. 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The number of corporate logos on the banner is fantastic. And really, the messages from the people we've talked to today is they not only see the value but want to get more involved and do more events with you guys. 'Cause they see, and it's altruistic a little bit, but it's also real basic business ROI. They need more good people and this is an avenue to get more good people. >> Exactly. I think diversity, inclusion is no longer a buzzword. They're really seeing the ROI in creating diverse workforces. It helps with building revenue. Right, so if you have a more diverse and innovative workforce, then you're able to create products and services that are more diverse, more comprehensive. You have more opportunities to problem solve in a creative way, so really there is a lot of different elements in addition to creating a company culture that's more conducive to creating safety and comfortable work environments for all employees. Minority groups, people of different genders, et cetera. 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And people actually asked me, I mean they're so controversial, or they were in their Superbowl ads. Like, why would you go out on a limb and work with them? And I said, well I talked to their whole executive team. They hired this amazing CTO, happens to be a woman. We had multiple discussions about them changing their brand around and you know, everyone deserves a second chance, I believe. And so they ended up supporting not only the organization, but me as their leader, and I owe them a lot for that because we were able to produce the first Catalyst Conference as a result and many other programs. 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Yeah, we always love working with theCUBE and we love you guys having a presence here and capturing the amazing soundbites and stories from our very accomplished speakers who happen to be amazingly passionate and amazingly altruistic. >> Yes, there's no shortage of energy in the room even though they're all a little tired, been a long week. (both laughing) All right well thanks again. >> Thank you. >> She's Adriana, I'm Jeff Frick, you're watching theCUBE from Girls in Tech Catalyst 2018. Thanks for watching. (upbeat music)

Published Date : Jun 15 2018

SUMMARY :

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Mitch Kenfield, KPMG & Adrian Hubbard, Linklaters | ServiceNow Knowledge18


 

>> Voiceover: Live from Las Vegas, it's The Cube, covering ServiceNow Knowledge 2018. Brought to you by ServiceNow. >> Welcome back everyone to The Cube's live coverage of ServiceNow Knowledge 2018, #Know18. I'm Rebecca Knight your host, along with my co-host Dave Vellante. We have two guests joining us, we have Mitch Kenfield who is an Advisory Principal CIO advisory at KPMG, And Adrian Hubbard, Service and Process Manager at Linklaters, thanks so much for joining us. >> Thank you. >> Thank you. >> Adrian, I want to start with you. Can you describe for our viewers what was sort of happening, what was going on at Linklaters, sort of the inflection point when you realized you needed to step up your game in this arena, and just lay that our for our viewers. >> Yeah, I think, from Linklaters' point of view, we're very much, kind of, use the telephone more than anything else, it's very much a contact organization through voice. And we wanted to implement a platform that would engage the users in a different way, more to be self-serving, more chats, more routes to service, if you like. And we saw ServiceNow as the right tool for that. We did some due diligence, an RFP process, but that wasn't enough, we had to build a strong business case to make sure we were doing the right things. And that's where we kind of reached out to KPMG to see what they could offer us in this space. >> Talk more about your business, and-- >> So we're a global firm, we're kind of part of the magical circle, so there's four or five in that arena we call our strong peers. And yeah, as I say, fairness can be very challenging, their day themselves needs to be very efficient and very effective, and they don't always want to have to tell Serve. So one of our challenges is the more time they spend with us the less time they're billing their clients, which is obviously the revenue of the firm. But then when you've got 450 plus partners they all feel they want to run the firm in a way that perhaps is regional, office-based. So some of those challenges play into delivering service also. >> You talked about doing your due diligence, how did you go about that? What was the, what was your process? >> So we engaged with a consultancy firm to help us through the process. Through that, we worked out where do we want to get to, our vision. We short-listed some top-set firms, there was about three or four on the list that we knew met the requirement. So we then went through the process of the next layer down and series of workshops with each provider. Obviously, there was a cost model, we got supplier guys involved from a contract perspective, tried to get the best price. But I think deep down we always felt ServiceNow was the right fit for us. And I've been at Linklaters six years, when I first joined Linklaters that time ago, we went through the same process. We chose the different tool then, but ServiceNow was in the list and we really would have liked to have gone there six years ago. But I think ServiceNow have improved a lot during that time, and now was the right time for us to choose them. >> It was the one that got away, and now you've brought it back. >> Absolutely, yeah, yeah. >> So, Linklaters reached out to you, so then describe about, describe how you sort of shepherded them through the process? >> Yeah, so they had reached out in our London office, and I guess I had happened to be there and jumped on the phone with them, and first of all, when Adrian mentions about the culture of a law firm, so we are a consulting firm you know, consultants and tax and audit and finance folks, so we kind of understand that, it's kind of like the industry where everybody's the boss and nobody's the boss. So we jumped on the phone, and one thing that I mentioned as Adrian was describing, is that we see this space as an opportunity to truly change the way the technology business is running, and therefore change the ultimate business. >> Adrian: Yeah. >> And so, we tell our clients a lot, if you're just going to kind of implement, it might not be the right thing for you. But if you're ready to transform the way you run technology, and the way that supports the business, we think we can help, and we brought something to them that we call Powered IT, which I can give some details on, but just at the highest levels it's our view of an accelerated transformation that includes some technology components, but more than that includes operating models and process to say let's not reinvent things, let's bring to you what's good, and that way we can spend our time focusing on the specifics for you, to get you to the business result you're looking for, and that was kind of that first conversation we had. >> Sure. >> The word "agile transformation" is popping into my head. It's such a common theme today, but is it relevant to what we're talking about? >> Yeah, absolutely. So, I'll start, Adrian, and maybe you can give your perspective on it. When we bring our view, and again, we call it Powered just as a tag, but really what it is, it's an acceleration. It's the components from an organizational aspect's process, metrics, supporting ServiceNow with some kind of near-the-box configurations to add in to that. And then, to your question, it's how do we deliver that in an agile way, where you see it constantly. We don't take six months before we show something, you're seeing it regularly and we can course correct and tweak to say we have a limited amount of effort we can spend, let's spend that in that agile methodology for things that transform you sooner and get it done. Would you, what was y'all's reaction? >> Yeah, to add to that, so what's really important for me is that we hadn't worked with KPMG before although, we were talking early doors, we didn't know what this Powered IT was, what it would bring us. So we made sure we had a number of kind of pre-sales workshops, where I could see the product and they've got a very strong environment where I could see exactly was I was going to get at the end, which is important for me because there's always a risky element, going in with a new incumbent, it was going to be success of this, or not, and I had to be sure that we did the right risk assessment. So actually, to be able to be provided with that kind of out-of-the-box experience, because often you go into sales call, or into the RFP process, and then you come out the back end of it and actually you see, actually getting what you saw in that sales demo. So it's important that we did that extra look. So I think we're able to see the end product, if you like, and then through talking with Mitch and the team and the UK guys, we then knew what the approach would be, very agile and quite aggressive as well. We delivered end-to-end in 14 weeks, which, considering that it took us from the old tool to ServiceNow, it took us from the old way of working to a new way of working on day one. We switched the old tool off on day one. There was a lot going on, it was... you know, we had to really stick to scope, as well, to manage mistake holders. >> I'm interested in how you managed risk, because that's the one thing that popped into my head. When you transform and your business processes are affected you know, you want to move fast, but there are dependencies. So how did you identify those, how did you guys manage the risks? >> I think, in terms of... We were quite strong on what our service improvement plans were looking like, we knew that we needed a new tool, we knew the tool would unlock it, but we didn't know is the extras that KPMG would bring through the Powered IT. So it's more than just the tool set itself, it's actually the processes and the policies. So because we're able to look at those day one, we knew what the end product was going to be. And plus we went with the preferred Powered IT platform. What we didn't try to do was to impose our current way of thinking. We took the KPMG way of thinking, which was the less risky approach, it meant that we weren't customizing, which was a big danger for us, potentially. So we also knew it was fully supported, because KPMG have put this Powered IT module together, built with other clients as well, so we knew we were adopting best practices from other clients. But actually it was fitting, the way we needed to get to from our vision. I think the thing that made me a little bit nervous was we'd been through a number of maturity assessments over the years that said our processes were quite mature. Where we were weak, really, was some of the reporting, the visibility of performance. So again, but they were kind of the key things from risk assessment, let's make sure the key things we could see working. And then we knew the risk was less. But, you know, as always, when you engage with a new incumbent for the first time, we had to make sure that we met the team as well, that was also a key part for us, to make sure the people we'd be working with, from day one, we met them at the beginning. And they stayed throughout. So that was also very good for us. >> So, Adrian, I'm curious about your particular experience, and then Mitch, I wonder if you could chime in on other clients that you might see. You always hear, "You got to have buy-in from the C-suite, top down." But when you go change the operating model, I often hear, the senior management goes, and then the rest of the company's like, "Well, we got to run the business," and they're trying to catch up. >> Yep. >> Is that a common problem? How do you guys deal with that? >> I think our senior team have been in place, they've been very supportive. There hasn't really been an issue there. And a lot of the senior team also supported the decision to go ServiceNow, which is important for me. I have to say, not all parts of the IT organization thought it was the right decision, but we had to demonstrate that as we went through, and the series of workshops was important, early doors. So we made sure we engaged the right stakeholders, they felt part of the whole solution end-to-end. And yes, people tried to push the scope at times, tried to scope creep, but actually senior management were very good and supportive of me to stick to scope. Stick to what we've agreed to do, help me push back certain people when they became challenging. And because we stuck to that scope, we delivered on-time. The fear would've been, as you know, you customize, you go off track-- >> I think what we see, to your analogy and I think your degree, you have to have that senior commitment. There can't be a question of why. But what breaks down often is that kind of next layer of key managers and stakeholders that maybe didn't show up to that meeting, and you know, didn't, you know... And those are the little things that can kind of take it off rail. And to your question earlier about agile, the great thing about a well-executed agile methodology is not about doing agile configuration it's about doing agile business transformation. It's about having regular interaction points where those stakeholders are involved in the process. And every day they're in those sessions and they're seeing something, and they get the chance, and we connect together. And that's what gets you to the end of it, to where instead of just in 14 weeks, we deployed a technology that kind of feels the same way we used to work. You deploy a technology and people are doing things different, and that's a key aspect. >> Dave: Lot of repetition. >> A lot of repetition. >> A lot of overcommunicating-- >> And we tell our clients a lot, it's going to be a rough 14 weeks, because you're going to be involved. This isn't the old-- >> Adrian: You didn't tell me that. >> Well (laughs). It's not where you're going to give me requirements we're going to go away and build something and hope we got it right and you're going to say, like you said, "That's not, wait, I thought I was going to get..." We're going to be in it and the teams are working collaboratively, stand up meetings, and all those kind of things. And it can be interesting, and for many of our clients, it changes the way they think about programs, right? >> So how's it going? I mean, what's the business impact been? >> It's been really positive. Of course, it talks for itself, it's really good. The fact that you've got 20 thousand people here kind of demonstrates that, but it is the industry platform, and there isn't anything that comes close to it, if we're being honest. But in terms of where we are now, we are gaining a lot of benefit from the dashboards, the reporting. We've still got to make sure the quality of data is good, of course, but actually visualizing our performance is really powerful. But we've also introduced new ways of interacting with our user base, so chat is a big thing for us. We now have a user pool to what we want to market out to the firm. So we're trying to get away from the telephone as the first point of contact, and move into other contact areas, like the portal. So that's the kind of areas that we need to kind of market outwards. But we're about three months in from go live. So we're now kind of looking back on some of the improvements already that we want to make, so looking at how we're using it, working with teams on using it better. So the improvement cycle is kicking in. And we've already made some minor improvements, and there will be more to come. >> So you avoided custom mods-- >> Yes. - Which is very important because the allure of custom modifications, it's so attractive, and then you know, you get technical debt and stuck with it. What have you learned, if you had a mulligan, would you choose anything differently? >> Yeah, it's an interesting point, because I think one of the things we could've done better already was the training. Because what was really powerful about Powered IT, there was training material, we had to kind of adapt that for our own change process, of course. Understanding our culture and how training with Linklaters, isn't necessarily the same as perhaps other technology firms, where they're expected to sell flurn. Very much the model at Linklaters is kind of classroom-led training, that tends to be our culture. And we perhaps didn't do enough of that before go live. So yes, everyone went live day one, they could log a ticket, but they couldn't unlock all the other benefits that we were really trying to deliver. So I guess that training's one of those areas that you could always overdo, but I think I would go back and arrange training earlier, make sure people know the training's coming, make sure their diaries are free as well, because we're all busy people. But I think, yeah, I think for now, I think we did a good job in the 14 weeks, but I'd come back and look at training again. >> And when was your go live? >> We went live on the 12th of February, this year. >> Oh okay, and single CMDB is the vision, or goal, or? >> Yeah, so we went live with the CMDB, we're now able to populate that out, and everyone knows that can be a pain point. So that's one of the kind of evolutions we're going through now, but as I said, we switched off the old tool on the day one, so we had to make sure the customer-facing processes were working, that we could may control changes, problem management could deal with issues that reoccur. So all of that was in place, but actually we've unlocked the power of the tool for visibility, managing the tasks across teams is quite big for us, as well. But that whole transparency of data has really improved the way we work. >> Rebecca: Great. >> I think one aspect, to play on your question, there are certain aspects of the platform in that transformation that you may not do all, but you need to design an architecture right the first time. So on the CMDB, you might not have it all the way populated, but if it's not architected with a good CMDB data model, it'll catch up later on, to your point. And so, a lot of, I think, that effort is a certain amount of time you have to show value, and then you lay that groundwork, you start improving, and then you make the decision of if and when do we expand into new things. When do we move into new areas, outside of the core, and those kind of things. >> For you know this, Mitch, too, and one of... I'm going to comment, maybe you could... You could give me your observations, early on in the ServiceNow, before the big ascendancy, a lot of mistakes were made, in terms of companies not standardizing, getting the CMDB architecture right, for a lot reasons, you had politics, people were trying to slide it in. And now you see a much more consistent vision around CMDB, how to architect it, single CMDB, one throat to choke, essentially. >> Yeah, I agree totally, and I think if you look at the ecosystem of what this all is, you have to level set on it, it was drastically different from a platform perspective, and three or four years ago to now. And to your point, I think there were a lot of relatively quick implementations, if you will. And again, quick implementation is okay, as long as it's architected and thought through for the long term, and I think we're seeing in the market some implementations that maybe made some short cuts, if you will, but to your point, the things that you got to get right, you got to get the CMDB and the data model, that layer, right. You got to get the employee experience right. You only get one chance to set an employee experience. If you underwhelm, then you've lost that audience, right? Then they're like, "Eh, well, yeah," you know? And you only get one chance to have some transformation, and it doesn't have to be going from crawling to, you know, sprinting, but if you go from crawling and it feels kind of the same way, you lose interest in expanding the capabilities. So I think that's, we've all, you know, the ecosystem has learned from that, and there are some things that you've got to get correct, and what we try to do with our clients is try to say, "Hey, let's not argue about those things, right, let's not start with a whiteboard and argue about the things that should be the same for Linklaters, that should be the same for anybody." Let's get that 80% where it's, let's focus on the things that are specific to you and not deal with that common stuff. >> Right, capture their attention right away. >> Absolutely. And we use a term internally, and sometimes with our clients too, everybody knows the 80/20 rule, right? You do 80% of it, you just should stop, it's not worth the effort. We switch that, we say 20% is what makes it work for you. We should just power through the 80% that should be the same for everybody else, and the 20% that makes it work for you. How do you deal with employee experience in a law firm, right, where everybody are knowledge workers, that have all, that's very different than employee experience in a, you know, industrial manufacturing firm, right? So that's what matters and what makes it transformational to a specific organization. >> And you're in Jakarta, or Kingston? >> We're on Jakarta-- >> Yeah, okay. - Yeah. >> Great. >> And again, because it's delivered through Powered IT, KPMG do a lot of the testing, once the new version's available, it's their offer to us in terms of making sure it's fit for purpose for their Powered IT platform. And as been said, it's the 20% that we've configured for Linklaters is what we need to test. >> So we're big believers, and John mentioned it this morning of only stay one behind at most. We're big believers in we should help our clients learn what's in the new upgrade, and how it applies to them. So we've heard this week, there's some great things coming out with London, some new things in the experience, and some automations, and so on. So our job is to bring that to our clients with Powered, and say, "Yep, we're ready, here's what's in it, and by the way, here's what they've advanced, and here's what you should look to add, and let's have that ready for you." >> So, you keep people, at worst, in minus one-- >> Correct. - Is really your objective-- >> And our general advice to clients, is if you need to go to N, if there's functional new capabilities that change your business, go to N right away. If it's more just add-ons, stay at N-1, learn from the others, and keep advancing, but never go later than that, absolutely. >> And but, ServiceNow will allow you to be N-2, right? >> They will. Going forward, they're going to keep you more to N-1-- >> Dave: Pushing you along, right? >> Exactly. So you want to save just one release back and you want to make sure, and again, to use that term I used earlier, as long as you stay near-to-the-box, you know, and out-of-the-box, if you turn it on, you need to add it, get it into your environment, you need tailor it, right? But there's a fine line between staying close to that and doing way too much, and over-configuring, not even customization, just making it to where it's really complex, and that's where we try to keep our clients away from. >> Do they still do cakes, you get a cake? >> Yes. >> Had a good one. >> Yeah, we had a really good one on go live. Yeah, it's actually on LinkedIn so yeah, go and have a look. >> A bunch of law books, it looks really smart. >> It looks really good. >> Yeah, it looked very good. >> And it tasted great, too. (laughing) >> That's important. Adrian, Mitch, thanks so much for coming on The Cube, we had a great time. >> Thank you both. >> You're welcome, thank you. >> I'm Rebecca Knight, for Dave Vellante, we will have more from ServiceNow Knowledge18, coming up just after this. (music)

Published Date : May 8 2018

SUMMARY :

Brought to you by ServiceNow. We have two guests joining us, we have Mitch Kenfield sort of the inflection point when you realized more routes to service, if you like. So one of our challenges is the more time they spend with us So we engaged with a consultancy firm and now you've brought it back. about the culture of a law firm, so we are a consulting firm and that was kind of that first conversation we had. to what we're talking about? And then, to your question, it's how do we deliver that and the UK guys, we then knew what the approach would be, So how did you identify those, the key things we could see working. and then Mitch, I wonder if you could chime in And a lot of the senior team also supported feels the same way we used to work. And we tell our clients a lot, and hope we got it right and you're going to say, So that's the kind of areas that we need and then you know, you get technical debt and stuck with it. one of the things we could've done better has really improved the way we work. So on the CMDB, you might not have it all the way populated, I'm going to comment, maybe you could... let's focus on the things that are specific to you and the 20% that makes it work for you. Yeah, okay. And as been said, it's the 20% and here's what you should look to add, - Is really your objective-- is if you need to go to N, if there's functional Going forward, they're going to keep you more to N-1-- and you want to make sure, and again, Yeah, we had a really good one on go live. And it tasted great, too. for coming on The Cube, we had a great time. we will have more from ServiceNow Knowledge18,

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Janine Sneed, IBM | IBM Think 2018


 

>> Narrator: Live from Las Vegas it's theCUBE. Covering IBM Think 2018. Brought to you by IBM. >> Hello everyone, welcome to theCUBE here at IBM Think 2018. I'm John Furrier. We're on the ground with theCUBE. In theCUBE studio today we have a live audience on break but I had a chance to meet with the Chief Digital Officer of Hybrid Cloud, Janine Snead, who's just appointed. She's here in set on theCUBE. Great to see you at IBM Think. >> Hi, great to see you. Thanks for having me. >> Thanks for coming on. I'm super excited. When I interviewed Bob Lord last year, Chief Digital Officer, you know we love digital on theCUBE so we get really excited. We're like great, that's awesome. Now IBM's got more Chief Digital Officers being appointed >> Janine: That's right. >> You're the first Chief Digital Officer in a business unit. That's awesome, congratulations. >> Thank you. Yeah we're excited about it. We know and we believe that the future is really in the hands of the web. And we know that customers are engaging with us differently. They want much more of a self service. They want to experience the products without always I'll say a person interacting with them. And we know that from a product perspective there's things that we need to do to make our offerings much more digitally consumable. So we're taking this very seriously. And we put an organization in place Digital within Hybrid Cloud, that truly focuses on the time from a customer goes out and actually does a search, all the way through the buyer journey to the time they get to the product. >> John: You know I've been a student of IBM I actually worked at IBM as a co-op back in my early days. IBM has always been on the leading edge of marketing. And you guys are looking at socially you looked at social in an early way, digital in an early way, but now with the cloud you can actually engage customers digitally. So I've got to ask you, you know, how are you going to do that? >> Janine: Yeah >> John: Because you've got to remember websites are now the fabric of all this that's 30 year old tech stack. You've got cloud now, you've got APIs with the synchronous software packages. You've got blockchain. All these new things. So what's the vision as you guys go out and start putting stakes in the ground for a digital strategy. How are you guys doing it, can you share the vision? >> Yeah, I think it starts with using our own technology. So within the Hybrid Cloud organization, we have a lot of software and we're putting that software out on the cloud. We want customers to engage with us digitally through a technical experience. So we're taking our products, putting product demos, we're putting POTs, we're putting even proof of concept secure in the cloud, guided demos where they can come and experience these offerings without ever engaging with us. Now of course once they're ready they can engage with us but this is truly about a low touch, self service way for customers to engage with our products. >> Now a lot of people, and we talk about this all the time, but the general sentiment online now is you have the kind of crazies out there you've seen that on Reddit, fake news, weaponizing content. Then you have the other side of the spectrum where people are like, I don't want to be sold to. I'm discovering, I want to learn. >> Janine: Yes. >> John: I'm in communities. I know you guys address that. I want you to just clarify, because there's a model now where people just want to be ingratiated in. You know, kick the tires. Which by the way, kicking tires right now is much different than it was years ago because you have APIs. You have SARS source code. You have credits for cloud. >> Janine: That's right. >> What is the digital motion there? I mean obviously it's a light touch. >> Yeah >> But is it still an IBM.com? >> It is. So we're still on IBM.com properties. And we're nurturing with the ecosystem and the communities to also go where they are, but bring them back to the IBM.com properties and engage with them when they're ready. You know, we've done the research. We know that 70% of b2b buyers learn about your products and your services without ever talking to you. So we want to be where those users are and eventually that will be back on our property but we also want to find them where they are. >> You know, one of the things we were talking about before you came on camera here, We've been doing theCUBE for seven years or so plus six shows now to one show. But the thought leadership on theCUBE has always been powerful. And that's seemed to be a great way to get into communities. And IBM's got a lot of thought leaders. So I'm sure you have a plan for thought leaders. You have IBM Fellows. You've got R&D. You've got a lot of content opportunities. >> We do. We've got a lot of partners. So here at this conference we've been talking to a lot of our partners who want to be a part of this experience. We've got great solutions and all of our solutions a lot of them are delivered with partners. And so it's working the community. It's working the ecosystem. And it's doing this together with partners to allow them to contribute and allow customers to come and consume solutions. In much of a use case way, of course you can have product by product by products, but how do you essentially deliver solutions based on use cases. >> So I'll ask you a personal question. How did you get here? Was it like hey, I want to do the digital job, was it an itch that you were scratching, did Bob Lord lure you into the job? (Janine laughs) Did he recruit you? I mean -- >> No, it's -- >> How did you get it? >> It's a great question >> Because this is a great opportunity. >> It is. I'm a product person by training. And I spent the last 18 months in sales. And I enjoyed every minute of that and listening and understanding how our sellers want to consume. Short, snackable type of learning and training and watching what was going on with the digital ecosystem I thought it was a great way to really mix my skills that I have within product with what I just learned from my sales role. And I did nine months in marketing. So I felt like it was kind of a mixture. And we have a huge opportunity here. So the opportunity presented itself. >> Sales always has a my favorite sales expression is people love to buy from people that they like. How are you going to make IBM likable digitally? Is there a strategy there? >> Oh, it's simple. (John laughs) It is so dead simple. It's about the user experience. When users come, you have to give them the best experience possible because you never get a second chance to make a good first impression. So I want to basically set the bar. And we're an MVP right now with a lot of the stuff that we're doing out. >> You mean software and tools and stuff? >> Yeah, no, well, our experience right now so when you come and you experience our tools I'm sorry, our demos and our proof of technologies and our tutorials out on our site it's MVP. We're 45 days old. But it's about the user experience. And so we've been serving users here that are coming to try our stuff. >> So the Digital Technical Engagement, that's the DTE? >> Janine: DTE, yep. >> That's the one that's 45 days? >> That's the one that's 45 days old. >> The IBM site's not 45 days old. >> Yeah, yeah. >> But this new program. So take a minute to explain what the DTE, the Digital Technical Engagement program is. What was the guiding principles behind it >> Yeah >> What's some of the deign objectives is there any new cool tech under the covers? Share a little bit of color on that. >> Sure, sure. Happy to. So back in the fourth quarter of last year we took a look and we said, how are customers consuming? How are we engaging? How are we showing up? And what do we need to do to shift to become more agile and lighten the way that we showed up. And so we really gathered a few smart creatives from the CIO's office, from IBM design, from product and from marketing and we said guys, we're going to run an experiment. We want to set up a site off of IBM.com a page off of IBM.com and it's very simple. Keep it so clean. Keep the user experience clean. Take something like IBM Cloud Private. Give me three product demos. Give me one guided demo where in 10 minutes a client can get through IBM Cloud Private without getting stuck and then give them a way to try it for two weeks. Just experiment. Well, in 90 days we've had 10,500 users try that guided demo and our NPS is 56. >> What does NPS mean? - Net Promoter Score >> That's what I figured, okay. >> So it's about experimentation. And so in this world that we're going into we want to experiment. And so from there, what happened, that proved to be successful. We now have an organization of about 60 people within digital technical engagement deep product experts, but we also have a platform team to drive that experience. >> So there's some real value there. I mean, a lot of people look at website and digital technologies as ad tech, you know, and there's a lot of bad press out there now with Facebook where a lot of people are looking at Facebook as content that got weaponized for fake news and the ad tech has a bad track record of fill out a form, they're going to sell me something. How are you going to change that perception? >> That's a great question. So a lot of the folks that we're working with right now say you have to capture user information capture user information. And for me, I don't want to be bothered. So I'm kind of looking at this maybe a little bit too selfishly saying I want to demo without giving you my information. We have our product demos and our guided demos, we don't collect any information from the user. When you are going to reserve our software for two weeks, up to a month, we do collect some information about you. >> John: You got to. >> We have to. >> At some point. >> So we're keeping it very low touch because we know that's how users want to engage. >> You don't want to gate the hell out of it. >> No, we don't want to gate the hell out of it. We want to keep it just, let them explore without being all over them. Right? >> Talk about the new IBM. You know, one of the things that's transforming right now that I'm impressed with is IBM's constantly reinventing themself. I was impressed with Ginni's keynote. The way she talks about data in the middle, blockchain on one side and AI on the other. I call it the innovation sandwich. >> Janine: Yeah >> How are you applying that vision to digital? I mean not yet obviously, you're only at the beginning. >> Right But that vision is pretty solid. And she brought up Moore's Law and Metcalfe's Law. >> That's right. >> Moore's Law is making things faster, smaller, cheaper. >> Right >> Component wise and speed. >> Yes >> Metcalfe's Law is about network effect and the future of digital is either going to be token economics or blockchain with programatic tooling that gives users great experiences. So how do you tie that together? Maybe it's too early to ask, but-- >> No, no. It's simple. I'm a consumer of this stuff. I'm using the cloud. I'm using the IBM Design Thinking because I brought in three designers from Phil Gilbert's group. Right? I'm embedded in the digital organization basically, regardless of where I sit. So we are adopting best practices that come from IBM's big chief digital office. >> So you get to use your own tools, that's one of the things she said. >> Yeah and we'll embed, we'll get there. Right? >> Yeah >> Well actually, we already are doing, we embedded chat. So we've got Watson Chat running on our SPSS statistics page So it's about the cloud, it's about user experience. It's about applying digital practices from Bob Lord's organization and then it's about Watson. >> I was having a great Twitter thread with a bunch of people that were on Twitter just ranting on the weekend a couple weekends ago about digital transformation. Tom Peters actually jumped in, the famous Tom Peters who wrote the books there, a management consultant, about digital transformation. I love digital transformation, it's overused, but it's legit. People are transforming. So the question was, how do you do it successfully? And all the canned answers came out. Well, you need commitment from the top. You've got to have this and that. And I said look, bottom line, if people don't have the expertise, and if they don't know what they're doing, they can't transform. So it begs the question for skills gap. A lot of people are learning, so there's a learning environment. It's not just sales. Proficiency, getting the product buying. There's a community thirst for learning. How is that incorporated in, if any? >> I think I have a little bit of a different hurdle. The people that we're working with are learning. They're out in the communities they're engaging. I think one of the things that we have to continue to do is continue to show the value of digital transformation. Remember, IBM is a big company. I'm not a ten person startup. Right? We're a bigger organization so what we have to do is show why digital is important back in with our product teams. I think for the most part our marketing teams get it. Because you have to make trade offs. Am I going to invest in this feature in the product or am I going to put in something like eCommerce so you can subscribe and buy. >> Priorities. But you're a product person, so it's all about the trade offs. >> Yeah, it's all about the trade offs, right? So the skills are part of it but some of it is just education on why this is so critical. And then the last thing is passion. You have to bring the skills, the education and then that passionate team that really believes that they can get this done. >> Okay so given that, let's go back to some of the comments I made about the people who we were talking about on Twitter >> Janine: Sure >> Commitment from the top. IBM commitment at the top is there? What are they saying, what's the marching orders? >> The marching orders is we got to go and we're not moving fast enough. Speed, speed, speed, right? So we got to move fast. >> So in an interview with Bob Lord, one of the things we talked about was interesting. He's like I like to just get stuff done. I think he might have used another word. Maybe it was off camera he said that. IBM's got a lot of process. How do you take the old IBM process and make it work for you rather than having digital work for the process? >> Yeah >> It's a lot of internal things but no need to give away too much but it's a management challenge. How do you cut through it? >> I think from a process perspective, these are conversations and you have to explain why. If you could go in and explain why you need to do something differently, then people will listen. I'd like to give an example, okay? I had 26 days to get five products out the door. I formed a team January 2nd. By January 26th, I had to be live. Now I worked with my marketing team and I said I will get into your buyer journey, but I have to launch my Digital Technical Engagement site and my products. They understood. So I went live. Now, will I back back into the process? Sure I will. >> John: But you had good alignment. >> But yeah, we have to move fast, right? So it's explaining why and having mature conversations and then people that really believe in digital they'll support you. >> Great conversation. I'm looking forward to chatting more with you. We're at theCUBE. But I want to ask you one final question before we break. What's your objective? What's the roadmap for you, what's your top priorities? Are you hiring? Who're you looking for? What kind of product priorities, what's the sales priorities? What's your to-do list? >> I think let's start with the customer. So the customer priority is to deliver the best experience possible as they engage with IBM digitally. And that's all about the user experience. From a talent perspective, it's all about diversity, inclusion, and people that come with different skills from technology, to growth hacking, to marketing, and to engineering. And some people that think differently. We want people that, no idea is a bad idea, just come and bring great ideas. >> Well, diversity and inclusion, first of all, half of the users are women. And you also have to have an understanding of the use cases. >> Yeah >> It's not just men using software. >> Yeah, that's right. >> It's a huge deal. >> That's right, that's right. >> Alright well, Janine, great to have you on theCUBE. Thanks for spending the time. >> Thank you. >> Congratulations on the new role. Janine Sneed, Chief Digital Officer from IBM Hybrid Cloud. First IBM Chief Digital Officer in a business unit. I also today have Bob Lord and a lot of other folks doing digital but great to see the digital momentum. >> Thank you. >> It's not just a selling apparatus. It's all about value for users. It's theCUBE bringing you the value here at IBM Think 2018. I'm John Furrier, back with more after this short break. (upbeat music)

Published Date : Mar 20 2018

SUMMARY :

Brought to you by IBM. We're on the ground with theCUBE. Hi, great to see you. Chief Digital Officer, you know we love digital on theCUBE You're the first Chief Digital Officer And we know that customers are engaging with us differently. So I've got to ask you, you know, So what's the vision as you guys go out and start secure in the cloud, guided demos where they can Now a lot of people, and we talk about this all the time, I want you to just clarify, What is the digital motion there? So we want to be where those users are You know, one of the things we were talking about In much of a use case way, of course you can have So I'll ask you a personal question. And I spent the last 18 months in sales. How are you going to make IBM likable digitally? It's about the user experience. But it's about the user experience. So take a minute to explain what the DTE, What's some of the deign objectives So back in the fourth quarter of last year And so in this world that we're going into How are you going to change that perception? So a lot of the folks that we're working with right now So we're keeping it very low touch because we know that's No, we don't want to gate the hell out of it. I call it the innovation sandwich. How are you applying that vision to digital? And she brought up Moore's Law and Metcalfe's Law. and the future of digital is either going to be I'm embedded in the digital organization So you get to use your own tools, that's Yeah and we'll embed, we'll get there. So it's about the cloud, it's about user experience. So the question was, how do you do it successfully? I think one of the things that we have to so it's all about the trade offs. So the skills are part of it but some of it Commitment from the top. So we got to move fast. So in an interview with Bob Lord, one of the It's a lot of internal things these are conversations and you have to explain why. So it's explaining why and having mature conversations But I want to ask you one final question before we break. So the customer priority is to deliver the best half of the users are women. Thanks for spending the time. Congratulations on the new role. It's theCUBE bringing you the value here at IBM Think 2018.

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Ajit George, Shanti Bhavan Children's Project - CloudNOW Awards 2017


 

(clicking) >> I am Lisa Martin with theCUBE on the ground at Google for the sixth annual Top Women in Cloud Awards event with CloudNOW. Very excited to be joined by next guest, Ajit George, the Managing Director of the Shanti Bhavan Children's Project. Welcome to the cube. >> Hi Lisa, it's great to be here. >> So, I was so excited to have a chat with you. The Shanti Bhavan Children's Project is incredible. Tell us about it, 20 years now, tell us about what that is, how your family is involved, and what it's helping to do for these young children in Bangelore, India? >> Sure, Shanti Bhavan was founded by my father, Dr. Abraham George, 20 years ago, and its goal is to educate children, but also to eliminate poverty and change entire systems of communities and governments. It, the way we achieve this goal is by taking children from the poorest communities in India, giving them a high-quality, boarding school education, from the age of four until they graduate from 12th grade, and we cover everything during that period. So, their healthcare, their clothing, their boarding, food, all of that is taken care of, as well as training in soft skills. So, debate, interpersonal and interview skills, leadership skills, and the whole nine yards. While we educate them in the highest curriculum, the toughest standards in India, and then we pay for their entire college degree afterwards. So, that is 17 years of a high-quality intervention per child from the very first day they start school to the very first day of work. >> That's incredible and you have a very high college graduation rate, isn't that correct? Yeah, that is correct. If they pass out of high school, their high school graduation rate is about 77%, University graduation rate is 98% and so- >> Wow, 98%. >> It's been pretty exciting and they go on from those, from college to multinational companies, like Mercedes-Benz or Amazon, or Goldman Sachs. So, our kids who come from urban slums or rural villages with huts with no running water or electricity are making more in their first five years, than their parents make in a lifetime. So, it's a quantum leap, it is a genuine breaking the cycle of poverty, and the ability to become both, either the primary or the sole breadwinner for their entire family. So, four or five other people are dependent on them at the age of 21. >> And that's incredible, I was watching, there is a Daughters of Destiny, Netflix Original Docuseries. I saw the trailer of it today, incredibly profound. One of the things that, a couple things that really stuck out to me was, this is taking children from poverty to possibility. And also, one of the young girls that was in that trailer had said, "I've got a lot to lose, it's now or never for me." These children seem to really understand the gravity of their situation, and genuinely recognize the opportunity that they've been given. >> Yeah, sure, every single Shanti Bhavan child understands, it's almost like they've won the lottery, they've had an opportunity that no one in their families have ever had, but no one from their communities have had either. They're the first person in their family for generations to get any kind of education, and so that's a powerful opportunity, but it's also an important obligation or duty to give back to the family and to make an impact for the community because they are given this golden ticket, and they want to do something important with it. If they don't succeed, nobody gives them a second chance. Kids from that kind of community, and from that kind of circumstance, don't really have a second chance if they aren't able to make the most of it. So when you hear those stories they're talking about, "hey, I really need to seize this moment." "I need to seize this opportunity," maybe, "my mother's back at home and she needs my help," maybe, "my father's bedridden." A lot of these kids have generational debt, so they owe money to, like a money lender, which is an illegal lender and that's a couple generations back. Maybe their grandparents have taken out this debt, so they have all these debts piled up on them, and they have healthcare bills piled up on them, and they've got housing and all of these other problems. Then they have to educate their younger brothers and sisters and pay for dowries for their family members. It's the enormous responsibilities on one child is huge, but they're able to step up because they're given this powerful education, this great opportunity, so there's a lot of pressure, but there's also this great knowledge that they have a horizon out there that no one in their family has ever had before. >> That's incredible and so in the last couple minutes here, CloudNOW, where we are at the awards event tonight, they've teamed up with Intel, Apcera, and CB Technologies, to launch the Daughters of Destiny STEM scholarship. So exciting, what's that going to mean for current students, at Shanti Bhavan or the future students? >> Right, I think I'm really, really thankful, first of all to CB Technologies, Intel, and Apcera, as well as the CloudNOW. This scholarship is the first of its kind within our program and it allows these three young ladies, who are the first recipients of the scholarship, and hopefully there'll be many more recipients, but these young ladies to get a high-quality college education in the STEM fields, which is their passion. So, it opens doors for them for their education, potentially for internships and maybe job opportunities after college. So, I think this is a gateway to something bright and beautiful. >> Oh, I love that and how you described it for these children as a quantum leap, is as profound as what's been shown in the Netflix series. So, Ajit, thank you so much for joining. I wish we had more time, this is such an incredible project that you're working on, but we thank you for stopping by theCUBE and sharing it with us. >> Thank you so much, Lisa, it's great to be here. >> We want to thank you for watching theCUBE. I'm Lisa Martin on the ground at Google for the CloudNOW, Top Women in Technology Awards. Bye for now. (closing music)

Published Date : Dec 8 2017

SUMMARY :

at Google for the sixth annual So, I was so excited to have a chat with you. they start school to the very first day of work. Yeah, that is correct. and the ability to become both, the gravity of their situation, for the community because they are given this golden ticket, That's incredible and so in the last couple minutes here, So, I think this is a gateway to and sharing it with us. for the CloudNOW, Top Women in Technology Awards.

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Data Science for All: It's a Whole New Game


 

>> There's a movement that's sweeping across businesses everywhere here in this country and around the world. And it's all about data. Today businesses are being inundated with data. To the tune of over two and a half million gigabytes that'll be generated in the next 60 seconds alone. What do you do with all that data? To extract insights you typically turn to a data scientist. But not necessarily anymore. At least not exclusively. Today the ability to extract value from data is becoming a shared mission. A team effort that spans the organization extending far more widely than ever before. Today, data science is being democratized. >> Data Sciences for All: It's a Whole New Game. >> Welcome everyone, I'm Katie Linendoll. I'm a technology expert writer and I love reporting on all things tech. My fascination with tech started very young. I began coding when I was 12. Received my networking certs by 18 and a degree in IT and new media from Rochester Institute of Technology. So as you can tell, technology has always been a sure passion of mine. Having grown up in the digital age, I love having a career that keeps me at the forefront of science and technology innovations. I spend equal time in the field being hands on as I do on my laptop conducting in depth research. Whether I'm diving underwater with NASA astronauts, witnessing the new ways which mobile technology can help rebuild the Philippine's economy in the wake of super typhoons, or sharing a first look at the newest iPhones on The Today Show, yesterday, I'm always on the hunt for the latest and greatest tech stories. And that's what brought me here. I'll be your host for the next hour and as we explore the new phenomenon that is taking businesses around the world by storm. And data science continues to become democratized and extends beyond the domain of the data scientist. And why there's also a mandate for all of us to become data literate. Now that data science for all drives our AI culture. And we're going to be able to take to the streets and go behind the scenes as we uncover the factors that are fueling this phenomenon and giving rise to a movement that is reshaping how businesses leverage data. And putting organizations on the road to AI. So coming up, I'll be doing interviews with data scientists. We'll see real world demos and take a look at how IBM is changing the game with an open data science platform. We'll also be joined by legendary statistician Nate Silver, founder and editor-in-chief of FiveThirtyEight. Who will shed light on how a data driven mindset is changing everything from business to our culture. We also have a few people who are joining us in our studio, so thank you guys for joining us. Come on, I can do better than that, right? Live studio audience, the fun stuff. And for all of you during the program, I want to remind you to join that conversation on social media using the hashtag DSforAll, it's data science for all. Share your thoughts on what data science and AI means to you and your business. And, let's dive into a whole new game of data science. Now I'd like to welcome my co-host General Manager IBM Analytics, Rob Thomas. >> Hello, Katie. >> Come on guys. >> Yeah, seriously. >> No one's allowed to be quiet during this show, okay? >> Right. >> Or, I'll start calling people out. So Rob, thank you so much. I think you know this conversation, we're calling it a data explosion happening right now. And it's nothing new. And when you and I chatted about it. You've been talking about this for years. You have to ask, is this old news at this point? >> Yeah, I mean, well first of all, the data explosion is not coming, it's here. And everybody's in the middle of it right now. What is different is the economics have changed. And the scale and complexity of the data that organizations are having to deal with has changed. And to this day, 80% of the data in the world still sits behind corporate firewalls. So, that's becoming a problem. It's becoming unmanageable. IT struggles to manage it. The business can't get everything they need. Consumers can't consume it when they want. So we have a challenge here. >> It's challenging in the world of unmanageable. Crazy complexity. If I'm sitting here as an IT manager of my business, I'm probably thinking to myself, this is incredibly frustrating. How in the world am I going to get control of all this data? And probably not just me thinking it. Many individuals here as well. >> Yeah, indeed. Everybody's thinking about how am I going to put data to work in my organization in a way I haven't done before. Look, you've got to have the right expertise, the right tools. The other thing that's happening in the market right now is clients are dealing with multi cloud environments. So data behind the firewall in private cloud, multiple public clouds. And they have to find a way. How am I going to pull meaning out of this data? And that brings us to data science and AI. That's how you get there. >> I understand the data science part but I think we're all starting to hear more about AI. And it's incredible that this buzz word is happening. How do businesses adopt to this AI growth and boom and trend that's happening in this world right now? >> Well, let me define it this way. Data science is a discipline. And machine learning is one technique. And then AI puts both machine learning into practice and applies it to the business. So this is really about how getting your business where it needs to go. And to get to an AI future, you have to lay a data foundation today. I love the phrase, "there's no AI without IA." That means you're not going to get to AI unless you have the right information architecture to start with. >> Can you elaborate though in terms of how businesses can really adopt AI and get started. >> Look, I think there's four things you have to do if you're serious about AI. One is you need a strategy for data acquisition. Two is you need a modern data architecture. Three is you need pervasive automation. And four is you got to expand job roles in the organization. >> Data acquisition. First pillar in this you just discussed. Can we start there and explain why it's so critical in this process? >> Yeah, so let's think about how data acquisition has evolved through the years. 15 years ago, data acquisition was about how do I get data in and out of my ERP system? And that was pretty much solved. Then the mobile revolution happens. And suddenly you've got structured and non-structured data. More than you've ever dealt with. And now you get to where we are today. You're talking terabytes, petabytes of data. >> [Katie] Yottabytes, I heard that word the other day. >> I heard that too. >> Didn't even know what it meant. >> You know how many zeros that is? >> I thought we were in Star Wars. >> Yeah, I think it's a lot of zeroes. >> Yodabytes, it's new. >> So, it's becoming more and more complex in terms of how you acquire data. So that's the new data landscape that every client is dealing with. And if you don't have a strategy for how you acquire that and manage it, you're not going to get to that AI future. >> So a natural segue, if you are one of these businesses, how do you build for the data landscape? >> Yeah, so the question I always hear from customers is we need to evolve our data architecture to be ready for AI. And the way I think about that is it's really about moving from static data repositories to more of a fluid data layer. >> And we continue with the architecture. New data architecture is an interesting buzz word to hear. But it's also one of the four pillars. So if you could dive in there. >> Yeah, I mean it's a new twist on what I would call some core data science concepts. For example, you have to leverage tools with a modern, centralized data warehouse. But your data warehouse can't be stagnant to just what's right there. So you need a way to federate data across different environments. You need to be able to bring your analytics to the data because it's most efficient that way. And ultimately, it's about building an optimized data platform that is designed for data science and AI. Which means it has to be a lot more flexible than what clients have had in the past. >> All right. So we've laid out what you need for driving automation. But where does the machine learning kick in? >> Machine learning is what gives you the ability to automate tasks. And I think about machine learning. It's about predicting and automating. And this will really change the roles of data professionals and IT professionals. For example, a data scientist cannot possibly know every algorithm or every model that they could use. So we can automate the process of algorithm selection. Another example is things like automated data matching. Or metadata creation. Some of these things may not be exciting but they're hugely practical. And so when you think about the real use cases that are driving return on investment today, it's things like that. It's automating the mundane tasks. >> Let's go ahead and come back to something that you mentioned earlier because it's fascinating to be talking about this AI journey, but also significant is the new job roles. And what are those other participants in the analytics pipeline? >> Yeah I think we're just at the start of this idea of new job roles. We have data scientists. We have data engineers. Now you see machine learning engineers. Application developers. What's really happening is that data scientists are no longer allowed to work in their own silo. And so the new job roles is about how does everybody have data first in their mind? And then they're using tools to automate data science, to automate building machine learning into applications. So roles are going to change dramatically in organizations. >> I think that's confusing though because we have several organizations who saying is that highly specialized roles, just for data science? Or is it applicable to everybody across the board? >> Yeah, and that's the big question, right? Cause everybody's thinking how will this apply? Do I want this to be just a small set of people in the organization that will do this? But, our view is data science has to for everybody. It's about bring data science to everybody as a shared mission across the organization. Everybody in the company has to be data literate. And participate in this journey. >> So overall, group effort, has to be a common goal, and we all need to be data literate across the board. >> Absolutely. >> Done deal. But at the end of the day, it's kind of not an easy task. >> It's not. It's not easy but it's maybe not as big of a shift as you would think. Because you have to put data in the hands of people that can do something with it. So, it's very basic. Give access to data. Data's often locked up in a lot of organizations today. Give people the right tools. Embrace the idea of choice or diversity in terms of those tools. That gets you started on this path. >> It's interesting to hear you say essentially you need to train everyone though across the board when it comes to data literacy. And I think people that are coming into the work force don't necessarily have a background or a degree in data science. So how do you manage? >> Yeah, so in many cases that's true. I will tell you some universities are doing amazing work here. One example, University of California Berkeley. They offer a course for all majors. So no matter what you're majoring in, you have a course on foundations of data science. How do you bring data science to every role? So it's starting to happen. We at IBM provide data science courses through CognitiveClass.ai. It's for everybody. It's free. And look, if you want to get your hands on code and just dive right in, you go to datascience.ibm.com. The key point is this though. It's more about attitude than it is aptitude. I think anybody can figure this out. But it's about the attitude to say we're putting data first and we're going to figure out how to make this real in our organization. >> I also have to give a shout out to my alma mater because I have heard that there is an offering in MS in data analytics. And they are always on the forefront of new technologies and new majors and on trend. And I've heard that the placement behind those jobs, people graduating with the MS is high. >> I'm sure it's very high. >> So go Tigers. All right, tangential. Let me get back to something else you touched on earlier because you mentioned that a number of customers ask you how in the world do I get started with AI? It's an overwhelming question. Where do you even begin? What do you tell them? >> Yeah, well things are moving really fast. But the good thing is most organizations I see, they're already on the path, even if they don't know it. They might have a BI practice in place. They've got data warehouses. They've got data lakes. Let me give you an example. AMC Networks. They produce a lot of the shows that I'm sure you watch Katie. >> [Katie] Yes, Breaking Bad, Walking Dead, any fans? >> [Rob] Yeah, we've got a few. >> [Katie] Well you taught me something I didn't even know. Because it's amazing how we have all these different industries, but yet media in itself is impacted too. And this is a good example. >> Absolutely. So, AMC Networks, think about it. They've got ads to place. They want to track viewer behavior. What do people like? What do they dislike? So they have to optimize every aspect of their business from marketing campaigns to promotions to scheduling to ads. And their goal was transform data into business insights and really take the burden off of their IT team that was heavily burdened by obviously a huge increase in data. So their VP of BI took the approach of using machine learning to process large volumes of data. They used a platform that was designed for AI and data processing. It's the IBM analytics system where it's a data warehouse, data science tools are built in. It has in memory data processing. And just like that, they were ready for AI. And they're already seeing that impact in their business. >> Do you think a movement of that nature kind of presses other media conglomerates and organizations to say we need to be doing this too? >> I think it's inevitable that everybody, you're either going to be playing, you're either going to be leading, or you'll be playing catch up. And so, as we talk to clients we think about how do you start down this path now, even if you have to iterate over time? Because otherwise you're going to wake up and you're going to be behind. >> One thing worth noting is we've talked about analytics to the data. It's analytics first to the data, not the other way around. >> Right. So, look. We as a practice, we say you want to bring data to where the data sits. Because it's a lot more efficient that way. It gets you better outcomes in terms of how you train models and it's more efficient. And we think that leads to better outcomes. Other organization will say, "Hey move the data around." And everything becomes a big data movement exercise. But once an organization has started down this path, they're starting to get predictions, they want to do it where it's really easy. And that means analytics applied right where the data sits. >> And worth talking about the role of the data scientist in all of this. It's been called the hot job of the decade. And a Harvard Business Review even dubbed it the sexiest job of the 21st century. >> Yes. >> I want to see this on the cover of Vogue. Like I want to see the first data scientist. Female preferred, on the cover of Vogue. That would be amazing. >> Perhaps you can. >> People agree. So what changes for them? Is this challenging in terms of we talk data science for all. Where do all the data science, is it data science for everyone? And how does it change everything? >> Well, I think of it this way. AI gives software super powers. It really does. It changes the nature of software. And at the center of that is data scientists. So, a data scientist has a set of powers that they've never had before in any organization. And that's why it's a hot profession. Now, on one hand, this has been around for a while. We've had actuaries. We've had statisticians that have really transformed industries. But there are a few things that are new now. We have new tools. New languages. Broader recognition of this need. And while it's important to recognize this critical skill set, you can't just limit it to a few people. This is about scaling it across the organization. And truly making it accessible to all. >> So then do we need more data scientists? Or is this something you train like you said, across the board? >> Well, I think you want to do a little bit of both. We want more. But, we can also train more and make the ones we have more productive. The way I think about it is there's kind of two markets here. And we call it clickers and coders. >> [Katie] I like that. That's good. >> So, let's talk about what that means. So clickers are basically somebody that wants to use tools. Create models visually. It's drag and drop. Something that's very intuitive. Those are the clickers. Nothing wrong with that. It's been valuable for years. There's a new crop of data scientists. They want to code. They want to build with the latest open source tools. They want to write in Python or R. These are the coders. And both approaches are viable. Both approaches are critical. Organizations have to have a way to meet the needs of both of those types. And there's not a lot of things available today that do that. >> Well let's keep going on that. Because I hear you talking about the data scientists role and how it's critical to success, but with the new tools, data science and analytics skills can extend beyond the domain of just the data scientist. >> That's right. So look, we're unifying coders and clickers into a single platform, which we call IBM Data Science Experience. And as the demand for data science expertise grows, so does the need for these kind of tools. To bring them into the same environment. And my view is if you have the right platform, it enables the organization to collaborate. And suddenly you've changed the nature of data science from an individual sport to a team sport. >> So as somebody that, my background is in IT, the question is really is this an additional piece of what IT needs to do in 2017 and beyond? Or is it just another line item to the budget? >> So I'm afraid that some people might view it that way. As just another line item. But, I would challenge that and say data science is going to reinvent IT. It's going to change the nature of IT. And every organization needs to think about what are the skills that are critical? How do we engage a broader team to do this? Because once they get there, this is the chance to reinvent how they're performing IT. >> [Katie] Challenging or not? >> Look it's all a big challenge. Think about everything IT organizations have been through. Some of them were late to things like mobile, but then they caught up. Some were late to cloud, but then they caught up. I would just urge people, don't be late to data science. Use this as your chance to reinvent IT. Start with this notion of clickers and coders. This is a seminal moment. Much like mobile and cloud was. So don't be late. >> And I think it's critical because it could be so costly to wait. And Rob and I were even chatting earlier how data analytics is just moving into all different kinds of industries. And I can tell you even personally being effected by how important the analysis is in working in pediatric cancer for the last seven years. I personally implement virtual reality headsets to pediatric cancer hospitals across the country. And it's great. And it's working phenomenally. And the kids are amazed. And the staff is amazed. But the phase two of this project is putting in little metrics in the hardware that gather the breathing, the heart rate to show that we have data. Proof that we can hand over to the hospitals to continue making this program a success. So just in-- >> That's a great example. >> An interesting example. >> Saving lives? >> Yes. >> That's also applying a lot of what we talked about. >> Exciting stuff in the world of data science. >> Yes. Look, I just add this is an existential moment for every organization. Because what you do in this area is probably going to define how competitive you are going forward. And think about if you don't do something. What if one of your competitors goes and creates an application that's more engaging with clients? So my recommendation is start small. Experiment. Learn. Iterate on projects. Define the business outcomes. Then scale up. It's very doable. But you've got to take the first step. >> First step always critical. And now we're going to get to the fun hands on part of our story. Because in just a moment we're going to take a closer look at what data science can deliver. And where organizations are trying to get to. All right. Thank you Rob and now we've been joined by Siva Anne who is going to help us navigate this demo. First, welcome Siva. Give him a big round of applause. Yeah. All right, Rob break down what we're going to be looking at. You take over this demo. >> All right. So this is going to be pretty interesting. So Siva is going to take us through. So he's going to play the role of a financial adviser. Who wants to help better serve clients through recommendations. And I'm going to really illustrate three things. One is how do you federate data from multiple data sources? Inside the firewall, outside the firewall. How do you apply machine learning to predict and to automate? And then how do you move analytics closer to your data? So, what you're seeing here is a custom application for an investment firm. So, Siva, our financial adviser, welcome. So you can see at the top, we've got market data. We pulled that from an external source. And then we've got Siva's calendar in the middle. He's got clients on the right side. So page down, what else do you see down there Siva? >> [Siva] I can see the recent market news. And in here I can see that JP Morgan is calling for a US dollar rebound in the second half of the year. And, I have upcoming meeting with Leo Rakes. I can get-- >> [Rob] So let's go in there. Why don't you click on Leo Rakes. So, you're sitting at your desk, you're deciding how you're going to spend the day. You know you have a meeting with Leo. So you click on it. You immediately see, all right, so what do we know about him? We've got data governance implemented. So we know his age, we know his degree. We can see he's not that aggressive of a trader. Only six trades in the last few years. But then where it gets interesting is you go to the bottom. You start to see predicted industry affinity. Where did that come from? How do we have that? >> [Siva] So these green lines and red arrows here indicate the trending affinity of Leo Rakes for particular industry stocks. What we've done here is we've built machine learning models using customer's demographic data, his stock portfolios, and browsing behavior to build a model which can predict his affinity for a particular industry. >> [Rob] Interesting. So, I like to think of this, we call it celebrity experiences. So how do you treat every customer like they're a celebrity? So to some extent, we're reading his mind. Because without asking him, we know that he's going to have an affinity for auto stocks. So we go down. Now we look at his portfolio. You can see okay, he's got some different holdings. He's got Amazon, Google, Apple, and then he's got RACE, which is the ticker for Ferrari. You can see that's done incredibly well. And so, as a financial adviser, you look at this and you say, all right, we know he loves auto stocks. Ferrari's done very well. Let's create a hedge. Like what kind of security would interest him as a hedge against his position for Ferrari? Could we go figure that out? >> [Siva] Yes. Given I know that he's gotten an affinity for auto stocks, and I also see that Ferrari has got some terminus gains, I want to lock in these gains by hedging. And I want to do that by picking a auto stock which has got negative correlation with Ferrari. >> [Rob] So this is where we get to the idea of in database analytics. Cause you start clicking that and immediately we're getting instant answers of what's happening. So what did we find here? We're going to compare Ferrari and Honda. >> [Siva] I'm going to compare Ferrari with Honda. And what I see here instantly is that Honda has got a negative correlation with Ferrari, which makes it a perfect mix for his stock portfolio. Given he has an affinity for auto stocks and it correlates negatively with Ferrari. >> [Rob] These are very powerful tools at the hand of a financial adviser. You think about it. As a financial adviser, you wouldn't think about federating data, machine learning, pretty powerful. >> [Siva] Yes. So what we have seen here is that using the common SQL engine, we've been able to federate queries across multiple data sources. Db2 Warehouse in the cloud, IBM's Integrated Analytic System, and Hortonworks powered Hadoop platform for the new speeds. We've been able to use machine learning to derive innovative insights about his stock affinities. And drive the machine learning into the appliance. Closer to where the data resides to deliver high performance analytics. >> [Rob] At scale? >> [Siva] We're able to run millions of these correlations across stocks, currency, other factors. And even score hundreds of customers for their affinities on a daily basis. >> That's great. Siva, thank you for playing the role of financial adviser. So I just want to recap briefly. Cause this really powerful technology that's really simple. So we federated, we aggregated multiple data sources from all over the web and internal systems. And public cloud systems. Machine learning models were built that predicted Leo's affinity for a certain industry. In this case, automotive. And then you see when you deploy analytics next to your data, even a financial adviser, just with the click of a button is getting instant answers so they can go be more productive in their next meeting. This whole idea of celebrity experiences for your customer, that's available for everybody, if you take advantage of these types of capabilities. Katie, I'll hand it back to you. >> Good stuff. Thank you Rob. Thank you Siva. Powerful demonstration on what we've been talking about all afternoon. And thank you again to Siva for helping us navigate. Should be give him one more round of applause? We're going to be back in just a moment to look at how we operationalize all of this data. But in first, here's a message from me. If you're a part of a line of business, your main fear is disruption. You know data is the new goal that can create huge amounts of value. So does your competition. And they may be beating you to it. You're convinced there are new business models and revenue sources hidden in all the data. You just need to figure out how to leverage it. But with the scarcity of data scientists, you really can't rely solely on them. You may need more people throughout the organization that have the ability to extract value from data. And as a data science leader or data scientist, you have a lot of the same concerns. You spend way too much time looking for, prepping, and interpreting data and waiting for models to train. You know you need to operationalize the work you do to provide business value faster. What you want is an easier way to do data prep. And rapidly build models that can be easily deployed, monitored and automatically updated. So whether you're a data scientist, data science leader, or in a line of business, what's the solution? What'll it take to transform the way you work? That's what we're going to explore next. All right, now it's time to delve deeper into the nuts and bolts. The nitty gritty of operationalizing data science and creating a data driven culture. How do you actually do that? Well that's what these experts are here to share with us. I'm joined by Nir Kaldero, who's head of data science at Galvanize, which is an education and training organization. Tricia Wang, who is co-founder of Sudden Compass, a consultancy that helps companies understand people with data. And last, but certainly not least, Michael Li, founder and CEO of Data Incubator, which is a data science train company. All right guys. Shall we get right to it? >> All right. >> So data explosion happening right now. And we are seeing it across the board. I just shared an example of how it's impacting my philanthropic work in pediatric cancer. But you guys each have so many unique roles in your business life. How are you seeing it just blow up in your fields? Nir, your thing? >> Yeah, for example like in Galvanize we train many Fortune 500 companies. And just by looking at the demand of companies that wants us to help them go through this digital transformation is mind-blowing. Data point by itself. >> Okay. Well what we're seeing what's going on is that data science like as a theme, is that it's actually for everyone now. But what's happening is that it's actually meeting non technical people. But what we're seeing is that when non technical people are implementing these tools or coming at these tools without a base line of data literacy, they're often times using it in ways that distance themselves from the customer. Because they're implementing data science tools without a clear purpose, without a clear problem. And so what we do at Sudden Compass is that we work with companies to help them embrace and understand the complexity of their customers. Because often times they are misusing data science to try and flatten their understanding of the customer. As if you can just do more traditional marketing. Where you're putting people into boxes. And I think the whole ROI of data is that you can now understand people's relationships at a much more complex level at a greater scale before. But we have to do this with basic data literacy. And this has to involve technical and non technical people. >> Well you can have all the data in the world, and I think it speaks to, if you're not doing the proper movement with it, forget it. It means nothing at the same time. >> No absolutely. I mean, I think that when you look at the huge explosion in data, that comes with it a huge explosion in data experts. Right, we call them data scientists, data analysts. And sometimes they're people who are very, very talented, like the people here. But sometimes you have people who are maybe re-branding themselves, right? Trying to move up their title one notch to try to attract that higher salary. And I think that that's one of the things that customers are coming to us for, right? They're saying, hey look, there are a lot of people that call themselves data scientists, but we can't really distinguish. So, we have sort of run a fellowship where you help companies hire from a really talented group of folks, who are also truly data scientists and who know all those kind of really important data science tools. And we also help companies internally. Fortune 500 companies who are looking to grow that data science practice that they have. And we help clients like McKinsey, BCG, Bain, train up their customers, also their clients, also their workers to be more data talented. And to build up that data science capabilities. >> And Nir, this is something you work with a lot. A lot of Fortune 500 companies. And when we were speaking earlier, you were saying many of these companies can be in a panic. >> Yeah. >> Explain that. >> Yeah, so you know, not all Fortune 500 companies are fully data driven. And we know that the winners in this fourth industrial revolution, which I like to call the machine intelligence revolution, will be companies who navigate and transform their organization to unlock the power of data science and machine learning. And the companies that are not like that. Or not utilize data science and predictive power well, will pretty much get shredded. So they are in a panic. >> Tricia, companies have to deal with data behind the firewall and in the new multi cloud world. How do organizations start to become driven right to the core? >> I think the most urgent question to become data driven that companies should be asking is how do I bring the complex reality that our customers are experiencing on the ground in to a corporate office? Into the data models. So that question is critical because that's how you actually prevent any big data disasters. And that's how you leverage big data. Because when your data models are really far from your human models, that's when you're going to do things that are really far off from how, it's going to not feel right. That's when Tesco had their terrible big data disaster that they're still recovering from. And so that's why I think it's really important to understand that when you implement big data, you have to further embrace thick data. The qualitative, the emotional stuff, that is difficult to quantify. But then comes the difficult art and science that I think is the next level of data science. Which is that getting non technical and technical people together to ask how do we find those unknown nuggets of insights that are difficult to quantify? Then, how do we do the next step of figuring out how do you mathematically scale those insights into a data model? So that actually is reflective of human understanding? And then we can start making decisions at scale. But you have to have that first. >> That's absolutely right. And I think that when we think about what it means to be a data scientist, right? I always think about it in these sort of three pillars. You have the math side. You have to have that kind of stats, hardcore machine learning background. You have the programming side. You don't work with small amounts of data. You work with large amounts of data. You've got to be able to type the code to make those computers run. But then the last part is that human element. You have to understand the domain expertise. You have to understand what it is that I'm actually analyzing. What's the business proposition? And how are the clients, how are the users actually interacting with the system? That human element that you were talking about. And I think having somebody who understands all of those and not just in isolation, but is able to marry that understanding across those different topics, that's what makes a data scientist. >> But I find that we don't have people with those skill sets. And right now the way I see teams being set up inside companies is that they're creating these isolated data unicorns. These data scientists that have graduated from your programs, which are great. But, they don't involve the people who are the domain experts. They don't involve the designers, the consumer insight people, the people, the salespeople. The people who spend time with the customers day in and day out. Somehow they're left out of the room. They're consulted, but they're not a stakeholder. >> Can I actually >> Yeah, yeah please. >> Can I actually give a quick example? So for example, we at Galvanize train the executives and the managers. And then the technical people, the data scientists and the analysts. But in order to actually see all of the RY behind the data, you also have to have a creative fluid conversation between non technical and technical people. And this is a major trend now. And there's a major gap. And we need to increase awareness and kind of like create a new, kind of like environment where technical people also talks seamlessly with non technical ones. >> [Tricia] We call-- >> That's one of the things that we see a lot. Is one of the trends in-- >> A major trend. >> data science training is it's not just for the data science technical experts. It's not just for one type of person. So a lot of the training we do is sort of data engineers. People who are more on the software engineering side learning more about the stats of math. And then people who are sort of traditionally on the stat side learning more about the engineering. And then managers and people who are data analysts learning about both. >> Michael, I think you said something that was of interest too because I think we can look at IBM Watson as an example. And working in healthcare. The human component. Because often times we talk about machine learning and AI, and data and you get worried that you still need that human component. Especially in the world of healthcare. And I think that's a very strong point when it comes to the data analysis side. Is there any particular example you can speak to of that? >> So I think that there was this really excellent paper a while ago talking about all the neuro net stuff and trained on textual data. So looking at sort of different corpuses. And they found that these models were highly, highly sexist. They would read these corpuses and it's not because neuro nets themselves are sexist. It's because they're reading the things that we write. And it turns out that we write kind of sexist things. And they would sort of find all these patterns in there that were sort of latent, that had a lot of sort of things that maybe we would cringe at if we sort of saw. And I think that's one of the really important aspects of the human element, right? It's being able to come in and sort of say like, okay, I know what the biases of the system are, I know what the biases of the tools are. I need to figure out how to use that to make the tools, make the world a better place. And like another area where this comes up all the time is lending, right? So the federal government has said, and we have a lot of clients in the financial services space, so they're constantly under these kind of rules that they can't make discriminatory lending practices based on a whole set of protected categories. Race, sex, gender, things like that. But, it's very easy when you train a model on credit scores to pick that up. And then to have a model that's inadvertently sexist or racist. And that's where you need the human element to come back in and say okay, look, you're using the classic example would be zip code, you're using zip code as a variable. But when you look at it, zip codes actually highly correlated with race. And you can't do that. So you may inadvertently by sort of following the math and being a little naive about the problem, inadvertently introduce something really horrible into a model and that's where you need a human element to sort of step in and say, okay hold on. Slow things down. This isn't the right way to go. >> And the people who have -- >> I feel like, I can feel her ready to respond. >> Yes, I'm ready. >> She's like let me have at it. >> And the people here it is. And the people who are really great at providing that human intelligence are social scientists. We are trained to look for bias and to understand bias in data. Whether it's quantitative or qualitative. And I really think that we're going to have less of these kind of problems if we had more integrated teams. If it was a mandate from leadership to say no data science team should be without a social scientist, ethnographer, or qualitative researcher of some kind, to be able to help see these biases. >> The talent piece is actually the most crucial-- >> Yeah. >> one here. If you look about how to enable machine intelligence in organization there are the pillars that I have in my head which is the culture, the talent and the technology infrastructure. And I believe and I saw in working very closely with the Fortune 100 and 200 companies that the talent piece is actually the most important crucial hard to get. >> [Tricia] I totally agree. >> It's absolutely true. Yeah, no I mean I think that's sort of like how we came up with our business model. Companies were basically saying hey, I can't hire data scientists. And so we have a fellowship where we get 2,000 applicants each quarter. We take the top 2% and then we sort of train them up. And we work with hiring companies who then want to hire from that population. And so we're sort of helping them solve that problem. And the other half of it is really around training. Cause with a lot of industries, especially if you're sort of in a more regulated industry, there's a lot of nuances to what you're doing. And the fastest way to develop that data science or AI talent may not necessarily be to hire folks who are coming out of a PhD program. It may be to take folks internally who have a lot of that domain knowledge that you have and get them trained up on those data science techniques. So we've had large insurance companies come to us and say hey look, we hire three or four folks from you a quarter. That doesn't move the needle for us. What we really need is take the thousand actuaries and statisticians that we have and get all of them trained up to become a data scientist and become data literate in this new open source world. >> [Katie] Go ahead. >> All right, ladies first. >> Go ahead. >> Are you sure? >> No please, fight first. >> Go ahead. >> Go ahead Nir. >> So this is actually a trend that we have been seeing in the past year or so that companies kind of like start to look how to upscale and look for talent within the organization. So they can actually move them to become more literate and navigate 'em from analyst to data scientist. And from data scientist to machine learner. So this is actually a trend that is happening already for a year or so. >> Yeah, but I also find that after they've gone through that training in getting people skilled up in data science, the next problem that I get is executives coming to say we've invested in all of this. We're still not moving the needle. We've already invested in the right tools. We've gotten the right skills. We have enough scale of people who have these skills. Why are we not moving the needle? And what I explain to them is look, you're still making decisions in the same way. And you're still not involving enough of the non technical people. Especially from marketing, which is now, the CMO's are much more responsible for driving growth in their companies now. But often times it's so hard to change the old way of marketing, which is still like very segmentation. You know, demographic variable based, and we're trying to move people to say no, you have to understand the complexity of customers and not put them in boxes. >> And I think underlying a lot of this discussion is this question of culture, right? >> Yes. >> Absolutely. >> How do you build a data driven culture? And I think that that culture question, one of the ways that comes up quite often in especially in large, Fortune 500 enterprises, is that they are very, they're not very comfortable with sort of example, open source architecture. Open source tools. And there is some sort of residual bias that that's somehow dangerous. So security vulnerability. And I think that that's part of the cultural challenge that they often have in terms of how do I build a more data driven organization? Well a lot of the talent really wants to use these kind of tools. And I mean, just to give you an example, we are partnering with one of the major cloud providers to sort of help make open source tools more user friendly on their platform. So trying to help them attract the best technologists to use their platform because they want and they understand the value of having that kind of open source technology work seamlessly on their platforms. So I think that just sort of goes to show you how important open source is in this movement. And how much large companies and Fortune 500 companies and a lot of the ones we work with have to embrace that. >> Yeah, and I'm seeing it in our work. Even when we're working with Fortune 500 companies, is that they've already gone through the first phase of data science work. Where I explain it was all about the tools and getting the right tools and architecture in place. And then companies started moving into getting the right skill set in place. Getting the right talent. And what you're talking about with culture is really where I think we're talking about the third phase of data science, which is looking at communication of these technical frameworks so that we can get non technical people really comfortable in the same room with data scientists. That is going to be the phase, that's really where I see the pain point. And that's why at Sudden Compass, we're really dedicated to working with each other to figure out how do we solve this problem now? >> And I think that communication between the technical stakeholders and management and leadership. That's a very critical piece of this. You can't have a successful data science organization without that. >> Absolutely. >> And I think that actually some of the most popular trainings we've had recently are from managers and executives who are looking to say, how do I become more data savvy? How do I figure out what is this data science thing and how do I communicate with my data scientists? >> You guys made this way too easy. I was just going to get some popcorn and watch it play out. >> Nir, last 30 seconds. I want to leave you with an opportunity to, anything you want to add to this conversation? >> I think one thing to conclude is to say that companies that are not data driven is about time to hit refresh and figure how they transition the organization to become data driven. To become agile and nimble so they can actually see what opportunities from this important industrial revolution. Otherwise, unfortunately they will have hard time to survive. >> [Katie] All agreed? >> [Tricia] Absolutely, you're right. >> Michael, Trish, Nir, thank you so much. Fascinating discussion. And thank you guys again for joining us. We will be right back with another great demo. Right after this. >> Thank you Katie. >> Once again, thank you for an excellent discussion. Weren't they great guys? And thank you for everyone who's tuning in on the live webcast. As you can hear, we have an amazing studio audience here. And we're going to keep things moving. I'm now joined by Daniel Hernandez and Siva Anne. And we're going to turn our attention to how you can deliver on what they're talking about using data science experience to do data science faster. >> Thank you Katie. Siva and I are going to spend the next 10 minutes showing you how you can deliver on what they were saying using the IBM Data Science Experience to do data science faster. We'll demonstrate through new features we introduced this week how teams can work together more effectively across the entire analytics life cycle. How you can take advantage of any and all data no matter where it is and what it is. How you could use your favorite tools from open source. And finally how you could build models anywhere and employ them close to where your data is. Remember the financial adviser app Rob showed you? To build an app like that, we needed a team of data scientists, developers, data engineers, and IT staff to collaborate. We do this in the Data Science Experience through a concept we call projects. When I create a new project, I can now use the new Github integration feature. We're doing for data science what we've been doing for developers for years. Distributed teams can work together on analytics projects. And take advantage of Github's version management and change management features. This is a huge deal. Let's explore the project we created for the financial adviser app. As you can see, our data engineer Joane, our developer Rob, and others are collaborating this project. Joane got things started by bringing together the trusted data sources we need to build the app. Taking a closer look at the data, we see that our customer and profile data is stored on our recently announced IBM Integrated Analytics System, which runs safely behind our firewall. We also needed macro economic data, which she was able to find in the Federal Reserve. And she stored it in our Db2 Warehouse on Cloud. And finally, she selected stock news data from NASDAQ.com and landed that in a Hadoop cluster, which happens to be powered by Hortonworks. We added a new feature to the Data Science Experience so that when it's installed with Hortonworks, it automatically uses a need of security and governance controls within the cluster so your data is always secure and safe. Now we want to show you the news data we stored in the Hortonworks cluster. This is the mean administrative console. It's powered by an open source project called Ambari. And here's the news data. It's in parquet files stored in HDFS, which happens to be a distributive file system. To get the data from NASDAQ into our cluster, we used IBM's BigIntegrate and BigQuality to create automatic data pipelines that acquire, cleanse, and ingest that news data. Once the data's available, we use IBM's Big SQL to query that data using SQL statements that are much like the ones we would use for any relation of data, including the data that we have in the Integrated Analytics System and Db2 Warehouse on Cloud. This and the federation capabilities that Big SQL offers dramatically simplifies data acquisition. Now we want to show you how we support a brand new tool that we're excited about. Since we launched last summer, the Data Science Experience has supported Jupyter and R for data analysis and visualization. In this week's update, we deeply integrated another great open source project called Apache Zeppelin. It's known for having great visualization support, advanced collaboration features, and is growing in popularity amongst the data science community. This is an example of Apache Zeppelin and the notebook we created through it to explore some of our data. Notice how wonderful and easy the data visualizations are. Now we want to walk you through the Jupyter notebook we created to explore our customer preference for stocks. We use notebooks to understand and explore data. To identify the features that have some predictive power. Ultimately, we're trying to assess what ultimately is driving customer stock preference. Here we did the analysis to identify the attributes of customers that are likely to purchase auto stocks. We used this understanding to build our machine learning model. For building machine learning models, we've always had tools integrated into the Data Science Experience. But sometimes you need to use tools you already invested in. Like our very own SPSS as well as SAS. Through new import feature, you can easily import those models created with those tools. This helps you avoid vendor lock-in, and simplify the development, training, deployment, and management of all your models. To build the models we used in app, we could have coded, but we prefer a visual experience. We used our customer profile data in the Integrated Analytic System. Used the Auto Data Preparation to cleanse our data. Choose the binary classification algorithms. Let the Data Science Experience evaluate between logistic regression and gradient boosted tree. It's doing the heavy work for us. As you can see here, the Data Science Experience generated performance metrics that show us that the gradient boosted tree is the best performing algorithm for the data we gave it. Once we save this model, it's automatically deployed and available for developers to use. Any application developer can take this endpoint and consume it like they would any other API inside of the apps they built. We've made training and creating machine learning models super simple. But what about the operations? A lot of companies are struggling to ensure their model performance remains high over time. In our financial adviser app, we know that customer data changes constantly, so we need to always monitor model performance and ensure that our models are retrained as is necessary. This is a dashboard that shows the performance of our models and lets our teams monitor and retrain those models so that they're always performing to our standards. So far we've been showing you the Data Science Experience available behind the firewall that we're using to build and train models. Through a new publish feature, you can build models and deploy them anywhere. In another environment, private, public, or anywhere else with just a few clicks. So here we're publishing our model to the Watson machine learning service. It happens to be in the IBM cloud. And also deeply integrated with our Data Science Experience. After publishing and switching to the Watson machine learning service, you can see that our stock affinity and model that we just published is there and ready for use. So this is incredibly important. I just want to say it again. The Data Science Experience allows you to train models behind your own firewall, take advantage of your proprietary and sensitive data, and then deploy those models wherever you want with ease. So summarize what we just showed you. First, IBM's Data Science Experience supports all teams. You saw how our data engineer populated our project with trusted data sets. Our data scientists developed, trained, and tested a machine learning model. Our developers used APIs to integrate machine learning into their apps. And how IT can use our Integrated Model Management dashboard to monitor and manage model performance. Second, we support all data. On premises, in the cloud, structured, unstructured, inside of your firewall, and outside of it. We help you bring analytics and governance to where your data is. Third, we support all tools. The data science tools that you depend on are readily available and deeply integrated. This includes capabilities from great partners like Hortonworks. And powerful tools like our very own IBM SPSS. And fourth, and finally, we support all deployments. You can build your models anywhere, and deploy them right next to where your data is. Whether that's in the public cloud, private cloud, or even on the world's most reliable transaction platform, IBM z. So see for yourself. Go to the Data Science Experience website, take us for a spin. And if you happen to be ready right now, our recently created Data Science Elite Team can help you get started and run experiments alongside you with no charge. Thank you very much. >> Thank you very much Daniel. It seems like a great time to get started. And thanks to Siva for taking us through it. Rob and I will be back in just a moment to add some perspective right after this. All right, once again joined by Rob Thomas. And Rob obviously we got a lot of information here. >> Yes, we've covered a lot of ground. >> This is intense. You got to break it down for me cause I think we zoom out and see the big picture. What better data science can deliver to a business? Why is this so important? I mean we've heard it through and through. >> Yeah, well, I heard it a couple times. But it starts with businesses have to embrace a data driven culture. And it is a change. And we need to make data accessible with the right tools in a collaborative culture because we've got diverse skill sets in every organization. But data driven companies succeed when data science tools are in the hands of everyone. And I think that's a new thought. I think most companies think just get your data scientist some tools, you'll be fine. This is about tools in the hands of everyone. I think the panel did a great job of describing about how we get to data science for all. Building a data culture, making it a part of your everyday operations, and the highlights of what Daniel just showed us, that's some pretty cool features for how organizations can get to this, which is you can see IBM's Data Science Experience, how that supports all teams. You saw data analysts, data scientists, application developer, IT staff, all working together. Second, you saw how we support all tools. And your choice of tools. So the most popular data science libraries integrated into one platform. And we saw some new capabilities that help companies avoid lock-in, where you can import existing models created from specialist tools like SPSS or others. And then deploy them and manage them inside of Data Science Experience. That's pretty interesting. And lastly, you see we continue to build on this best of open tools. Partnering with companies like H2O, Hortonworks, and others. Third, you can see how you use all data no matter where it lives. That's a key challenge every organization's going to face. Private, public, federating all data sources. We announced new integration with the Hortonworks data platform where we deploy machine learning models where your data resides. That's been a key theme. Analytics where the data is. And lastly, supporting all types of deployments. Deploy them in your Hadoop cluster. Deploy them in your Integrated Analytic System. Or deploy them in z, just to name a few. A lot of different options here. But look, don't believe anything I say. Go try it for yourself. Data Science Experience, anybody can use it. Go to datascience.ibm.com and look, if you want to start right now, we just created a team that we call Data Science Elite. These are the best data scientists in the world that will come sit down with you and co-create solutions, models, and prove out a proof of concept. >> Good stuff. Thank you Rob. So you might be asking what does an organization look like that embraces data science for all? And how could it transform your role? I'm going to head back to the office and check it out. Let's start with the perspective of the line of business. What's changed? Well, now you're starting to explore new business models. You've uncovered opportunities for new revenue sources and all that hidden data. And being disrupted is no longer keeping you up at night. As a data science leader, you're beginning to collaborate with a line of business to better understand and translate the objectives into the models that are being built. Your data scientists are also starting to collaborate with the less technical team members and analysts who are working closest to the business problem. And as a data scientist, you stop feeling like you're falling behind. Open source tools are keeping you current. You're also starting to operationalize the work that you do. And you get to do more of what you love. Explore data, build models, put your models into production, and create business impact. All in all, it's not a bad scenario. Thanks. All right. We are back and coming up next, oh this is a special time right now. Cause we got a great guest speaker. New York Magazine called him the spreadsheet psychic and number crunching prodigy who went from correctly forecasting baseball games to correctly forecasting presidential elections. He even invented a proprietary algorithm called PECOTA for predicting future performance by baseball players and teams. And his New York Times bestselling book, The Signal and the Noise was named by Amazon.com as the number one best non-fiction book of 2012. He's currently the Editor in Chief of the award winning website, FiveThirtyEight and appears on ESPN as an on air commentator. Big round of applause. My pleasure to welcome Nate Silver. >> Thank you. We met backstage. >> Yes. >> It feels weird to re-shake your hand, but you know, for the audience. >> I had to give the intense firm grip. >> Definitely. >> The ninja grip. So you and I have crossed paths kind of digitally in the past, which it really interesting, is I started my career at ESPN. And I started as a production assistant, then later back on air for sports technology. And I go to you to talk about sports because-- >> Yeah. >> Wow, has ESPN upped their game in terms of understanding the importance of data and analytics. And what it brings. Not just to MLB, but across the board. >> No, it's really infused into the way they present the broadcast. You'll have win probability on the bottom line. And they'll incorporate FiveThirtyEight metrics into how they cover college football for example. So, ESPN ... Sports is maybe the perfect, if you're a data scientist, like the perfect kind of test case. And the reason being that sports consists of problems that have rules. And have structure. And when problems have rules and structure, then it's a lot easier to work with. So it's a great way to kind of improve your skills as a data scientist. Of course, there are also important real world problems that are more open ended, and those present different types of challenges. But it's such a natural fit. The teams. Think about the teams playing the World Series tonight. The Dodgers and the Astros are both like very data driven, especially Houston. Golden State Warriors, the NBA Champions, extremely data driven. New England Patriots, relative to an NFL team, it's shifted a little bit, the NFL bar is lower. But the Patriots are certainly very analytical in how they make decisions. So, you can't talk about sports without talking about analytics. >> And I was going to save the baseball question for later. Cause we are moments away from game seven. >> Yeah. >> Is everyone else watching game seven? It's been an incredible series. Probably one of the best of all time. >> Yeah, I mean-- >> You have a prediction here? >> You can mention that too. So I don't have a prediction. FiveThirtyEight has the Dodgers with a 60% chance of winning. >> [Katie] LA Fans. >> So you have two teams that are about equal. But the Dodgers pitching staff is in better shape at the moment. The end of a seven game series. And they're at home. >> But the statistics behind the two teams is pretty incredible. >> Yeah. It's like the first World Series in I think 56 years or something where you have two 100 win teams facing one another. There have been a lot of parity in baseball for a lot of years. Not that many offensive overall juggernauts. But this year, and last year with the Cubs and the Indians too really. But this year, you have really spectacular teams in the World Series. It kind of is a showcase of modern baseball. Lots of home runs. Lots of strikeouts. >> [Katie] Lots of extra innings. >> Lots of extra innings. Good defense. Lots of pitching changes. So if you love the modern baseball game, it's been about the best example that you've had. If you like a little bit more contact, and fewer strikeouts, maybe not so much. But it's been a spectacular and very exciting World Series. It's amazing to talk. MLB is huge with analysis. I mean, hands down. But across the board, if you can provide a few examples. Because there's so many teams in front offices putting such an, just a heavy intensity on the analysis side. And where the teams are going. And if you could provide any specific examples of teams that have really blown your mind. Especially over the last year or two. Because every year it gets more exciting if you will. I mean, so a big thing in baseball is defensive shifts. So if you watch tonight, you'll probably see a couple of plays where if you're used to watching baseball, a guy makes really solid contact. And there's a fielder there that you don't think should be there. But that's really very data driven where you analyze where's this guy hit the ball. That part's not so hard. But also there's game theory involved. Because you have to adjust for the fact that he knows where you're positioning the defenders. He's trying therefore to make adjustments to his own swing and so that's been a major innovation in how baseball is played. You know, how bullpens are used too. Where teams have realized that actually having a guy, across all sports pretty much, realizing the importance of rest. And of fatigue. And that you can be the best pitcher in the world, but guess what? After four or five innings, you're probably not as good as a guy who has a fresh arm necessarily. So I mean, it really is like, these are not subtle things anymore. It's not just oh, on base percentage is valuable. It really effects kind of every strategic decision in baseball. The NBA, if you watch an NBA game tonight, see how many three point shots are taken. That's in part because of data. And teams realizing hey, three points is worth more than two, once you're more than about five feet from the basket, the shooting percentage gets really flat. And so it's revolutionary, right? Like teams that will shoot almost half their shots from the three point range nowadays. Larry Bird, who wound up being one of the greatest three point shooters of all time, took only eight three pointers his first year in the NBA. It's quite noticeable if you watch baseball or basketball in particular. >> Not to focus too much on sports. One final question. In terms of Major League Soccer, and now in NFL, we're having the analysis and having wearables where it can now showcase if they wanted to on screen, heart rate and breathing and how much exertion. How much data is too much data? And when does it ruin the sport? >> So, I don't think, I mean, again, it goes sport by sport a little bit. I think in basketball you actually have a more exciting game. I think the game is more open now. You have more three pointers. You have guys getting higher assist totals. But you know, I don't know. I'm not one of those people who thinks look, if you love baseball or basketball, and you go in to work for the Astros, the Yankees or the Knicks, they probably need some help, right? You really have to be passionate about that sport. Because it's all based on what questions am I asking? As I'm a fan or I guess an employee of the team. Or a player watching the game. And there isn't really any substitute I don't think for the insight and intuition that a curious human has to kind of ask the right questions. So we can talk at great length about what tools do you then apply when you have those questions, but that still comes from people. I don't think machine learning could help with what questions do I want to ask of the data. It might help you get the answers. >> If you have a mid-fielder in a soccer game though, not exerting, only 80%, and you're seeing that on a screen as a fan, and you're saying could that person get fired at the end of the day? One day, with the data? >> So we found that actually some in soccer in particular, some of the better players are actually more still. So Leo Messi, maybe the best player in the world, doesn't move as much as other soccer players do. And the reason being that A) he kind of knows how to position himself in the first place. B) he realizes that you make a run, and you're out of position. That's quite fatiguing. And particularly soccer, like basketball, is a sport where it's incredibly fatiguing. And so, sometimes the guys who conserve their energy, that kind of old school mentality, you have to hustle at every moment. That is not helpful to the team if you're hustling on an irrelevant play. And therefore, on a critical play, can't get back on defense, for example. >> Sports, but also data is moving exponentially as we're just speaking about today. Tech, healthcare, every different industry. Is there any particular that's a favorite of yours to cover? And I imagine they're all different as well. >> I mean, I do like sports. We cover a lot of politics too. Which is different. I mean in politics I think people aren't intuitively as data driven as they might be in sports for example. It's impressive to follow the breakthroughs in artificial intelligence. It started out just as kind of playing games and playing chess and poker and Go and things like that. But you really have seen a lot of breakthroughs in the last couple of years. But yeah, it's kind of infused into everything really. >> You're known for your work in politics though. Especially presidential campaigns. >> Yeah. >> This year, in particular. Was it insanely challenging? What was the most notable thing that came out of any of your predictions? >> I mean, in some ways, looking at the polling was the easiest lens to look at it. So I think there's kind of a myth that last year's result was a big shock and it wasn't really. If you did the modeling in the right way, then you realized that number one, polls have a margin of error. And so when a candidate has a three point lead, that's not particularly safe. Number two, the outcome between different states is correlated. Meaning that it's not that much of a surprise that Clinton lost Wisconsin and Michigan and Pennsylvania and Ohio. You know I'm from Michigan. Have friends from all those states. Kind of the same types of people in those states. Those outcomes are all correlated. So what people thought was a big upset for the polls I think was an example of how data science done carefully and correctly where you understand probabilities, understand correlations. Our model gave Trump a 30% chance of winning. Others models gave him a 1% chance. And so that was interesting in that it showed that number one, that modeling strategies and skill do matter quite a lot. When you have someone saying 30% versus 1%. I mean, that's a very very big spread. And number two, that these aren't like solved problems necessarily. Although again, the problem with elections is that you only have one election every four years. So I can be very confident that I have a better model. Even one year of data doesn't really prove very much. Even five or 10 years doesn't really prove very much. And so, being aware of the limitations to some extent intrinsically in elections when you only get one kind of new training example every four years, there's not really any way around that. There are ways to be more robust to sparce data environments. But if you're identifying different types of business problems to solve, figuring out what's a solvable problem where I can add value with data science is a really key part of what you're doing. >> You're such a leader in this space. In data and analysis. It would be interesting to kind of peek back the curtain, understand how you operate but also how large is your team? How you're putting together information. How quickly you're putting it out. Cause I think in this right now world where everybody wants things instantly-- >> Yeah. >> There's also, you want to be first too in the world of journalism. But you don't want to be inaccurate because that's your credibility. >> We talked about this before, right? I think on average, speed is a little bit overrated in journalism. >> [Katie] I think it's a big problem in journalism. >> Yeah. >> Especially in the tech world. You have to be first. You have to be first. And it's just pumping out, pumping out. And there's got to be more time spent on stories if I can speak subjectively. >> Yeah, for sure. But at the same time, we are reacting to the news. And so we have people that come in, we hire most of our people actually from journalism. >> [Katie] How many people do you have on your team? >> About 35. But, if you get someone who comes in from an academic track for example, they might be surprised at how fast journalism is. That even though we might be slower than the average website, the fact that there's a tragic event in New York, are there things we have to say about that? A candidate drops out of the presidential race, are things we have to say about that. In periods ranging from minutes to days as opposed to kind of weeks to months to years in the academic world. The corporate world moves faster. What is a little different about journalism is that you are expected to have more precision where people notice when you make a mistake. In corporations, you have maybe less transparency. If you make 10 investments and seven of them turn out well, then you'll get a lot of profit from that, right? In journalism, it's a little different. If you make kind of seven predictions or say seven things, and seven of them are very accurate and three of them aren't, you'll still get criticized a lot for the three. Just because that's kind of the way that journalism is. And so the kind of combination of needing, not having that much tolerance for mistakes, but also needing to be fast. That is tricky. And I criticize other journalists sometimes including for not being data driven enough, but the best excuse any journalist has, this is happening really fast and it's my job to kind of figure out in real time what's going on and provide useful information to the readers. And that's really difficult. Especially in a world where literally, I'll probably get off the stage and check my phone and who knows what President Trump will have tweeted or what things will have happened. But it really is a kind of 24/7. >> Well because it's 24/7 with FiveThirtyEight, one of the most well known sites for data, are you feeling micromanagey on your people? Because you do have to hit this balance. You can't have something come out four or five days later. >> Yeah, I'm not -- >> Are you overseeing everything? >> I'm not by nature a micromanager. And so you try to hire well. You try and let people make mistakes. And the flip side of this is that if a news organization that never had any mistakes, never had any corrections, that's raw, right? You have to have some tolerance for error because you are trying to decide things in real time. And figure things out. I think transparency's a big part of that. Say here's what we think, and here's why we think it. If we have a model to say it's not just the final number, here's a lot of detail about how that's calculated. In some case we release the code and the raw data. Sometimes we don't because there's a proprietary advantage. But quite often we're saying we want you to trust us and it's so important that you trust us, here's the model. Go play around with it yourself. Here's the data. And that's also I think an important value. >> That speaks to open source. And your perspective on that in general. >> Yeah, I mean, look, I'm a big fan of open source. I worry that I think sometimes the trends are a little bit away from open source. But by the way, one thing that happens when you share your data or you share your thinking at least in lieu of the data, and you can definitely do both is that readers will catch embarrassing mistakes that you made. By the way, even having open sourceness within your team, I mean we have editors and copy editors who often save you from really embarrassing mistakes. And by the way, it's not necessarily people who have a training in data science. I would guess that of our 35 people, maybe only five to 10 have a kind of formal background in what you would call data science. >> [Katie] I think that speaks to the theme here. >> Yeah. >> [Katie] That everybody's kind of got to be data literate. >> But yeah, it is like you have a good intuition. You have a good BS detector basically. And you have a good intuition for hey, this looks a little bit out of line to me. And sometimes that can be based on domain knowledge, right? We have one of our copy editors, she's a big college football fan. And we had an algorithm we released that tries to predict what the human being selection committee will do, and she was like, why is LSU rated so high? Cause I know that LSU sucks this year. And we looked at it, and she was right. There was a bug where it had forgotten to account for their last game where they lost to Troy or something and so -- >> That also speaks to the human element as well. >> It does. In general as a rule, if you're designing a kind of regression based model, it's different in machine learning where you have more, when you kind of build in the tolerance for error. But if you're trying to do something more precise, then so much of it is just debugging. It's saying that looks wrong to me. And I'm going to investigate that. And sometimes it's not wrong. Sometimes your model actually has an insight that you didn't have yourself. But fairly often, it is. And I think kind of what you learn is like, hey if there's something that bothers me, I want to go investigate that now and debug that now. Because the last thing you want is where all of a sudden, the answer you're putting out there in the world hinges on a mistake that you made. Cause you never know if you have so to speak, 1,000 lines of code and they all perform something differently. You never know when you get in a weird edge case where this one decision you made winds up being the difference between your having a good forecast and a bad one. In a defensible position and a indefensible one. So we definitely are quite diligent and careful. But it's also kind of knowing like, hey, where is an approximation good enough and where do I need more precision? Cause you could also drive yourself crazy in the other direction where you know, it doesn't matter if the answer is 91.2 versus 90. And so you can kind of go 91.2, three, four and it's like kind of A) false precision and B) not a good use of your time. So that's where I do still spend a lot of time is thinking about which problems are "solvable" or approachable with data and which ones aren't. And when they're not by the way, you're still allowed to report on them. We are a news organization so we do traditional reporting as well. And then kind of figuring out when do you need precision versus when is being pointed in the right direction good enough? >> I would love to get inside your brain and see how you operate on just like an everyday walking to Walgreens movement. It's like oh, if I cross the street in .2-- >> It's not, I mean-- >> Is it like maddening in there? >> No, not really. I mean, I'm like-- >> This is an honest question. >> If I'm looking for airfares, I'm a little more careful. But no, part of it's like you don't want to waste time on unimportant decisions, right? I will sometimes, if I can't decide what to eat at a restaurant, I'll flip a coin. If the chicken and the pasta both sound really good-- >> That's not high tech Nate. We want better. >> But that's the point, right? It's like both the chicken and the pasta are going to be really darn good, right? So I'm not going to waste my time trying to figure it out. I'm just going to have an arbitrary way to decide. >> Serious and business, how organizations in the last three to five years have just evolved with this data boom. How are you seeing it as from a consultant point of view? Do you think it's an exciting time? Do you think it's a you must act now time? >> I mean, we do know that you definitely see a lot of talent among the younger generation now. That so FiveThirtyEight has been at ESPN for four years now. And man, the quality of the interns we get has improved so much in four years. The quality of the kind of young hires that we make straight out of college has improved so much in four years. So you definitely do see a younger generation for which this is just part of their bloodstream and part of their DNA. And also, particular fields that we're interested in. So we're interested in people who have both a data and a journalism background. We're interested in people who have a visualization and a coding background. A lot of what we do is very much interactive graphics and so forth. And so we do see those skill sets coming into play a lot more. And so the kind of shortage of talent that had I think frankly been a problem for a long time, I'm optimistic based on the young people in our office, it's a little anecdotal but you can tell that there are so many more programs that are kind of teaching students the right set of skills that maybe weren't taught as much a few years ago. >> But when you're seeing these big organizations, ESPN as perfect example, moving more towards data and analytics than ever before. >> Yeah. >> You would say that's obviously true. >> Oh for sure. >> If you're not moving that direction, you're going to fall behind quickly. >> Yeah and the thing is, if you read my book or I guess people have a copy of the book. In some ways it's saying hey, there are lot of ways to screw up when you're using data. And we've built bad models. We've had models that were bad and got good results. Good models that got bad results and everything else. But the point is that the reason to be out in front of the problem is so you give yourself more runway to make errors and mistakes. And to learn kind of what works and what doesn't and which people to put on the problem. I sometimes do worry that a company says oh we need data. And everyone kind of agrees on that now. We need data science. Then they have some big test case. And they have a failure. And they maybe have a failure because they didn't know really how to use it well enough. But learning from that and iterating on that. And so by the time that you're on the third generation of kind of a problem that you're trying to solve, and you're watching everyone else make the mistake that you made five years ago, I mean, that's really powerful. But that doesn't mean that getting invested in it now, getting invested both in technology and the human capital side is important. >> Final question for you as we run out of time. 2018 beyond, what is your biggest project in terms of data gathering that you're working on? >> There's a midterm election coming up. That's a big thing for us. We're also doing a lot of work with NBA data. So for four years now, the NBA has been collecting player tracking data. So they have 3D cameras in every arena. So they can actually kind of quantify for example how fast a fast break is, for example. Or literally where a player is and where the ball is. For every NBA game now for the past four or five years. And there hasn't really been an overall metric of player value that's taken advantage of that. The teams do it. But in the NBA, the teams are a little bit ahead of journalists and analysts. So we're trying to have a really truly next generation stat. It's a lot of data. Sometimes I now more oversee things than I once did myself. And so you're parsing through many, many, many lines of code. But yeah, so we hope to have that out at some point in the next few months. >> Anything you've personally been passionate about that you've wanted to work on and kind of solve? >> I mean, the NBA thing, I am a pretty big basketball fan. >> You can do better than that. Come on, I want something real personal that you're like I got to crunch the numbers. >> You know, we tried to figure out where the best burrito in America was a few years ago. >> I'm going to end it there. >> Okay. >> Nate, thank you so much for joining us. It's been an absolute pleasure. Thank you. >> Cool, thank you. >> I thought we were going to chat World Series, you know. Burritos, important. I want to thank everybody here in our audience. Let's give him a big round of applause. >> [Nate] Thank you everyone. >> Perfect way to end the day. And for a replay of today's program, just head on over to ibm.com/dsforall. I'm Katie Linendoll. And this has been Data Science for All: It's a Whole New Game. Test one, two. One, two, three. Hi guys, I just want to quickly let you know as you're exiting. A few heads up. Downstairs right now there's going to be a meet and greet with Nate. And we're going to be doing that with clients and customers who are interested. So I would recommend before the game starts, and you lose Nate, head on downstairs. And also the gallery is open until eight p.m. with demos and activations. And tomorrow, make sure to come back too. Because we have exciting stuff. I'll be joining you as your host. And we're kicking off at nine a.m. So bye everybody, thank you so much. >> [Announcer] Ladies and gentlemen, thank you for attending this evening's webcast. If you are not attending all cloud and cognitive summit tomorrow, we ask that you recycle your name badge at the registration desk. Thank you. Also, please note there are two exits on the back of the room on either side of the room. Have a good evening. Ladies and gentlemen, the meet and greet will be on stage. Thank you.

Published Date : Nov 1 2017

SUMMARY :

Today the ability to extract value from data is becoming a shared mission. And for all of you during the program, I want to remind you to join that conversation on And when you and I chatted about it. And the scale and complexity of the data that organizations are having to deal with has It's challenging in the world of unmanageable. And they have to find a way. AI. And it's incredible that this buzz word is happening. And to get to an AI future, you have to lay a data foundation today. And four is you got to expand job roles in the organization. First pillar in this you just discussed. And now you get to where we are today. And if you don't have a strategy for how you acquire that and manage it, you're not going And the way I think about that is it's really about moving from static data repositories And we continue with the architecture. So you need a way to federate data across different environments. So we've laid out what you need for driving automation. And so when you think about the real use cases that are driving return on investment today, Let's go ahead and come back to something that you mentioned earlier because it's fascinating And so the new job roles is about how does everybody have data first in their mind? Everybody in the company has to be data literate. So overall, group effort, has to be a common goal, and we all need to be data literate But at the end of the day, it's kind of not an easy task. It's not easy but it's maybe not as big of a shift as you would think. It's interesting to hear you say essentially you need to train everyone though across the And look, if you want to get your hands on code and just dive right in, you go to datascience.ibm.com. And I've heard that the placement behind those jobs, people graduating with the MS is high. Let me get back to something else you touched on earlier because you mentioned that a number They produce a lot of the shows that I'm sure you watch Katie. And this is a good example. So they have to optimize every aspect of their business from marketing campaigns to promotions And so, as we talk to clients we think about how do you start down this path now, even It's analytics first to the data, not the other way around. We as a practice, we say you want to bring data to where the data sits. And a Harvard Business Review even dubbed it the sexiest job of the 21st century. Female preferred, on the cover of Vogue. And how does it change everything? And while it's important to recognize this critical skill set, you can't just limit it And we call it clickers and coders. [Katie] I like that. And there's not a lot of things available today that do that. Because I hear you talking about the data scientists role and how it's critical to success, And my view is if you have the right platform, it enables the organization to collaborate. And every organization needs to think about what are the skills that are critical? Use this as your chance to reinvent IT. And I can tell you even personally being effected by how important the analysis is in working And think about if you don't do something. And now we're going to get to the fun hands on part of our story. And then how do you move analytics closer to your data? And in here I can see that JP Morgan is calling for a US dollar rebound in the second half But then where it gets interesting is you go to the bottom. data, his stock portfolios, and browsing behavior to build a model which can predict his affinity And so, as a financial adviser, you look at this and you say, all right, we know he loves And I want to do that by picking a auto stock which has got negative correlation with Ferrari. Cause you start clicking that and immediately we're getting instant answers of what's happening. And what I see here instantly is that Honda has got a negative correlation with Ferrari, As a financial adviser, you wouldn't think about federating data, machine learning, pretty And drive the machine learning into the appliance. And even score hundreds of customers for their affinities on a daily basis. And then you see when you deploy analytics next to your data, even a financial adviser, And as a data science leader or data scientist, you have a lot of the same concerns. But you guys each have so many unique roles in your business life. And just by looking at the demand of companies that wants us to help them go through this And I think the whole ROI of data is that you can now understand people's relationships Well you can have all the data in the world, and I think it speaks to, if you're not doing And I think that that's one of the things that customers are coming to us for, right? And Nir, this is something you work with a lot. And the companies that are not like that. Tricia, companies have to deal with data behind the firewall and in the new multi cloud And so that's why I think it's really important to understand that when you implement big And how are the clients, how are the users actually interacting with the system? And right now the way I see teams being set up inside companies is that they're creating But in order to actually see all of the RY behind the data, you also have to have a creative That's one of the things that we see a lot. So a lot of the training we do is sort of data engineers. And I think that's a very strong point when it comes to the data analysis side. And that's where you need the human element to come back in and say okay, look, you're And the people who are really great at providing that human intelligence are social scientists. the talent piece is actually the most important crucial hard to get. It may be to take folks internally who have a lot of that domain knowledge that you have And from data scientist to machine learner. And what I explain to them is look, you're still making decisions in the same way. And I mean, just to give you an example, we are partnering with one of the major cloud And what you're talking about with culture is really where I think we're talking about And I think that communication between the technical stakeholders and management You guys made this way too easy. I want to leave you with an opportunity to, anything you want to add to this conversation? I think one thing to conclude is to say that companies that are not data driven is And thank you guys again for joining us. And we're going to turn our attention to how you can deliver on what they're talking about And finally how you could build models anywhere and employ them close to where your data is. And thanks to Siva for taking us through it. You got to break it down for me cause I think we zoom out and see the big picture. And we saw some new capabilities that help companies avoid lock-in, where you can import And as a data scientist, you stop feeling like you're falling behind. We met backstage. And I go to you to talk about sports because-- And what it brings. And the reason being that sports consists of problems that have rules. And I was going to save the baseball question for later. Probably one of the best of all time. FiveThirtyEight has the Dodgers with a 60% chance of winning. So you have two teams that are about equal. It's like the first World Series in I think 56 years or something where you have two 100 And that you can be the best pitcher in the world, but guess what? And when does it ruin the sport? So we can talk at great length about what tools do you then apply when you have those And the reason being that A) he kind of knows how to position himself in the first place. And I imagine they're all different as well. But you really have seen a lot of breakthroughs in the last couple of years. You're known for your work in politics though. What was the most notable thing that came out of any of your predictions? And so, being aware of the limitations to some extent intrinsically in elections when It would be interesting to kind of peek back the curtain, understand how you operate but But you don't want to be inaccurate because that's your credibility. I think on average, speed is a little bit overrated in journalism. And there's got to be more time spent on stories if I can speak subjectively. And so we have people that come in, we hire most of our people actually from journalism. And so the kind of combination of needing, not having that much tolerance for mistakes, Because you do have to hit this balance. And so you try to hire well. And your perspective on that in general. But by the way, one thing that happens when you share your data or you share your thinking And you have a good intuition for hey, this looks a little bit out of line to me. And I think kind of what you learn is like, hey if there's something that bothers me, It's like oh, if I cross the street in .2-- I mean, I'm like-- But no, part of it's like you don't want to waste time on unimportant decisions, right? We want better. It's like both the chicken and the pasta are going to be really darn good, right? Serious and business, how organizations in the last three to five years have just And man, the quality of the interns we get has improved so much in four years. But when you're seeing these big organizations, ESPN as perfect example, moving more towards But the point is that the reason to be out in front of the problem is so you give yourself Final question for you as we run out of time. And so you're parsing through many, many, many lines of code. You can do better than that. You know, we tried to figure out where the best burrito in America was a few years Nate, thank you so much for joining us. I thought we were going to chat World Series, you know. And also the gallery is open until eight p.m. with demos and activations. If you are not attending all cloud and cognitive summit tomorrow, we ask that you recycle your

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Patrick Moorhead, Moor Insights & Strategy | Samsung Developer Conference 2017


 

>> Narrator: Live from San Francisco, it's theCUBE covering Samsung Developer Conference 2017, brought to you by Samsung. >> Hello, everyone. Welcome back to theCUBE's live coverage, exclusive coverage of Samsung Developer Conference, SDC 2017. I'm John Furrier, the co-founder of SiliconANGLE Media. Next guest is Patrick Moorhead who is the president and principal analyst at Moor Insights and Strategy, friend of theCUBE. We see him everywhere we go. He's quoted in the Wall Street Journal, New York Times, all the top publications, and today, he was just on Power Lunch on CNBC. Here for our Power Cube segment, welcome to theCUBE. Good to see you again. >> Hey, thanks for being here, and I appreciate you putting up with me heckling you from outside of theCUBE. >> Always great to have you on. Hard hitting, you're one of the best analysts in the business. We know you work hard, we see you at all the events that we go to. I got to get your take, Samsung. Obviously now obviously you run in parallel, at some point on Amazon, obviously winning in the cloud. Samsung downplaying their cloud, but calling about smart things. I get that, the cloud is kind of fragmented, they're trying to hide the ball there, I get that. But they talk about IOT which you got to talk about cloud without IOT, what's your analysis of Samsung? >> Yeah so first off, Samsung is a collection of really really successful stovepiped companies, right? You have displays, you have semiconductors, you have mobile phones, you have all these different areas and they say a lot of times your strength is sometimes your weakness, and the divisions just don't talk a whole lot. But what they did, and this is the first time I've seen this in a long time, is they got on the same page and said you know, we have to work together because IOT and connected and intelligent connectedness can't be done in stovepipes, we can't all go do our thing. So they're agreeing on standards, they're doing some really good stuff. >> And obviously we know from the cloud game now go back to the enterprises, more consumer, backing in from the edge, obviously the edge being devices and other things, I get that. But now the horizontally scalable nature of the cloud is the holy grail, we've seen Amazon's success continue to boom, they do more compute than any other cloud out I think combined. Maybe outside Google with their internal cloud. That horizontal resource pool, serverless as example trend, IOT, you got to have, the stovepipes got to be decimated. However, you need specialism at the application level. >> That's exactly right, and a smartphone will act a little bit differently from a camera which would be different from a refrigerator as we saw, right? Samsung wants the new meeting area to be, well not the new meeting area, we all meet in the kitchen, but the connected meeting area. So they all act differently, so they have to have even though they're different devices they have to connect into that horizontal cloud to make it efficient enough and effective enough for good responsiveness. >> I like the message of smart things, I think that's phenomenal, and I like that 'cause it connects their things, which are consumer things, and people like 'em, like you said very successful stovepipes. The question that I ask here and I try to get the execs to talk about it but they weren't answering yet, and I think it's by design. They're not talking about the data. Because again at the end of the day what's different from Alibaba again last week when I was in China, they are very up front. We're all about data acquisition and using the data to fuel the user experience. >> Right. >> That has to traverse across stovepipes. So is Samsung baked in that area, they have things going on, what's your analysis of data traversal across, is Bixby 2.0 the answer? >> So companies have to take, particularly consumer companies related to the cloud, have to have one or two paths. The one that says, we're not going to mine personal data to either sell you products or run ads, so Facebook, AWS and even Google, that's their business model, and then the other side you have people like Apple who are only going to use the data to make the products and experiences better. I think, I'll just pontificate here, the reason you're not getting a straight answer is I don't think they know exactly what they want to do yet. Because look at the market cap of Facebook. Apple, and even Amazon is planning to start and expand their own ad network. So I just don't think they know yet. Now what I would recommend to them is- >> Or they might not have visibility on it product-wise. So there's knowing what to do, or how to do it, versus the product capability. >> Well they have access to a ton of data, so if you're using Samsung Mail, if you're using, they know every application gets deleted, usage models of those applications. So they know a lot more than I think people think. They have a lot more data than people probably give them credit for. >> So they're going to hide the ball, I think they said that they're buying more time, I would agree with you there. Alright, question on IOT. Do you think that hangs together, that strategy? Obviously security updates to chip-level, that's one thing, can they succeed with IOT in this emerging stovepipe collapse fabric that they're bringing out? >> So I need to do a little bit more research on the security and also their scalability. 'Cause if you're going to connect billions of devices you have to have scalability and we already saw what GE Predix did, right? They did an about-face and partnered up with AWS realizing they just couldn't handle the scale and the complexity. And the second thing is the security model and how things like RM Embed Cloud and the latest announcements from Intel which is how from a gateway perspective you secure this work. So I have to go do some research on this. >> And by the way it's a moving train, you mentioned the GE thing, great example, I mean let's take that example, I got to ask you about cloud, because let's talk about Amazon, Cloud Foundry. Cloud Foundry became this thing and Pivotal tried to take and shape it, now they're claiming huge success, some are questioning the numbers. They're claiming victory on one hand, and I hear record, record, record! But I just don't see any cloud on Cloud Foundry out there. >> Yeah and I think the reason is, PCF, Pivotal Cloud Foundry is a Fortune 500 thing. And if I compare Fortune 500 to startups and other people, there's not nearly as much activity in the Fortune 500 as there is with the startups and the cloud native companies. So I'm optimistic. >> So you're saying Pivotal Cloud is more Fortune 500, less cloud native? >> Exactly, exactly. >> How about Amazon, what's your take, I know you were on Power Lunch kind of, now you're on the Power Cube, our new segment that you just invented by being here. (laughing) What is the Amazon take, 'cause that Reinvent event's coming up, what's the preview? Obviously we're going to have some one on ones with Jassi and the team beforehand, theCUBE will be there with two sets to come on if you're going to be there I'd love to have you on. >> I'd love to. >> Again, what's the preview for AWS Reinvent? >> AWS right, they had a seven-year headstart on almost everybody and then Azure and GCP just recently jumped in, and if you notice over the past year they've been firing canons at each other. One vendor says hey, I do by the minute pricing, and then another one says, oh, I have the by-the-second pricing, right, and I'm going to accept VMWare, oh no I'm not doing VMWare, I'm doing SAP. So what you have now is a feature fest and a fistfight now. AWS is no longer the only man standing here. So what I'm expecting is they are going to come in and make the case that, okay, we still are the best choice not just for IAS but also for PAS, okay? Because they have a lot of competition. And also I think they're going to fill in gaps in some of the regional services where oh they don't have GPUs in a certain country. Oh, I don't have FPGAs over here. I think they're going to fill that in to look better against GCP and Azure. >> I know you cover Intel as well, I was just over there and saw some of the folks there, I saw some of the Linux Foundation folks, obviously you're seeing Intel be more a computing company, not a chip company anymore, they have that Five-G end to end UK Mind and Mobile World Congress, talked a little bit about Five-G. End-to-end is big message here at Samsung, how is Intel positioned in all this, what's your take on Intel? >> Yes so I think related to Intel, I think in some areas they're competitors, because they have their own gateway solutions, they don't have cloud solutions but they have the gateway solutions. Regarding to some of the endpoints, Intel has exited the small cork endpoints in watches, so I would say right now there's less overlap with Intel now. >> From Samsung perspective? >> Exactly, now on the back end it's more than likely there's a 99% chance that the back end doing the cloud processing is going to be Intel. >> If I'm Samsung, why wouldn't I want to partner within Samsung? 'Cause they make their own chips, is that the issue or is it more a...? >> No, I think Samsung up until this point hasn't taken a lot of responsibility for the cloud. So this is a first step, and I think it would make a good partnership. >> And Intel could get the home theater market, the home, how connected home is, but every CES going back 10 years has been a connected home theme. Finally they could get it here. >> That's right, and I have seen Intel get into things, a lot of Amazon's products with the cameras in the bedroom and in the bathroom, scary stuff. But Movidius, silicon that's doing object recognition, that is a place where I think they compete which frankly Samsung could develop the silicon but they just don't have it. Silicon doesn't have capability that a Movidius has. That can be used in any type of camera. >> Okay so final question I know we got to break here and I appreciate you coming on, making room for you, PowerCUBE segment here in San Francisco at SDC 2017. Ecosystem, we hear the host of SDC, Thomas Coe, come up and saying we're going to be honest and transparent to the community here at large in San Francisco and around the globe, kind of incurring that they've been kind of stovepiped and they're going to open up, they believe in open cloud, open IOT, and he talks about ecosystem, I'm not seeing a lot of ecosystem partners around here. What does Samsung need to do to, well first of all, what's your letter grade on the ecosystem and certainly they got an opportunity. What moves should they be making to build a robust healthy ecosystem, because we know you can't do it end to end without support in the white spaces. >> Yeah so I go to a lot of the developer conferences, whether it's Microsoft Build, Apple WWDC, and even the enterprise ones, and this is a smaller, low-key event and I think first and foremost, operating system drives a lot of the ecosystem. And other than Tizen they don't have an operating system. So what they're doing is they're working on the connectedness of it, which is a different kind of ecosystems, it's farther up in the stack, but I think what they can do is they have to be very clear and differentiated and I think back to our earlier, our first conversation, they're not going to mine the data, therefore they're the safe place for you, consumer and our smart things ecosystem, to put your data. And we're going to help you make money to do that, because I don't think Google is as interested in that and I don't think Amazon is as interested in that either. >> They were clear, they said permission-based and even if they don't know what their permission is offering we're going to take the conservative route and protect the data, but they still got to use the data. They got to get their cloud story together, if they want to do the data play, cloud has to be more clear at least in my mind. >> Well I think what they can do is they're sitting on and they will sit on a bigger treasure trove of data that can help their partners deliver better experiences and products, because if you're at the epicenter and you're at that smart things hub? You know everything that's going on in that home whether it's your stuff or your partner's stuff. >> Yeah and they got to be trusted, and they got to be transparent, okay. Patrick Moorhead from Moorhead Insights here on theCUBE, great analyst, follow him everywhere on Twitter, your Twitter handle is, let me just get the Twitter handle. >> It's @patrickmoorhead. >> Okay, @patrickmoorhead on Twitter. He travels the world, gets the data and so does theCUBE, traveling for you, this is John Furrier. More after this short break. (electronic beats)

Published Date : Oct 19 2017

SUMMARY :

brought to you by Samsung. Good to see you again. and I appreciate you putting up with me I get that, the cloud is kind of fragmented, they're on the same page and said you know, backing in from the edge, obviously the edge being So they all act differently, so they have to have the execs to talk about it but they weren't they have things going on, what's your analysis Apple, and even Amazon is planning to start and expand So there's knowing what to do, or how to do it, Well they have access to a ton of data, So they're going to hide the ball, I think they said and the complexity. I mean let's take that example, I got to ask you and the cloud native companies. What is the Amazon take, 'cause that Reinvent event's and make the case that, okay, we still are and saw some of the folks there, I saw some of Yes so I think related to Intel, doing the cloud processing is going to be Intel. 'Cause they make their own chips, is that the issue taken a lot of responsibility for the cloud. And Intel could get the home theater market, in the bedroom and in the bathroom, scary stuff. San Francisco and around the globe, kind of incurring Yeah so I go to a lot of the developer conferences, and protect the data, but they still got to use the data. and they will sit on a bigger treasure trove of data Yeah and they got to be trusted, and they Okay, @patrickmoorhead on Twitter.

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Lucas Gilman, G Tech - NAB Show 2017 - #NABShow - #theCUBE


 

>> Narrator: Live from Las Vegas it's theCUBE covering NAB 2017. Brought to you by HGST. (techno music) >> Hey welcome back everybody. I'm Jeff Frick and you're watching theCUBE. We're at NAB 2017. A hundred thousand people, Las Vegas Convention Center. The place is packed from top to bottom, 3 halls, 2 floors. Hopefully you can find theCUBE if you're looking to find us. It's hard to find it. A lot of people here. We're excited to be joined by I think the best title of anyone that we've had on the show over the last couple days. It's all about content, but at the end of the day you got to find content creators. And we've got one here. Lucas Gilman lists as adventure photographer, filmmaker, and G-Technology, GTeam ambassador. Lucas, great to see you, thanks for stopping by. >> Thanks for having me. >> So tell us a little bit about your company. I know you're an independent photographer, videographer. Some of the work that you do, some of the stuff that keeps you busy from Monday 9 to 5. >> Exactly. So a small film production company. We also do stills. So it's sort of a one-stop shop for a lot of brands that I work with. We're basically trying to service everything from still images for advertising purposes and commercial purposes to video for commercials, advertisements, and/or stock use. >> So as you look around, the ways that you can now capture imagery, I'll just say as a more generic term, with 360 cameras and drones and regular photography and GoPros and all of this different stuff. I mean, what a palate of tools that you have to work with. >> It's amazing how the technology is really changed. I remember that when I first started out in the photography and digital photography, we would have 16 megabyte cards and now I'm using SanDisk cards that are 256 gigabytes. And the -- >> The 1 T's are coming, I keep seeing >> Lucas: Yeah, yeah exactly. - the 1 terabytes are coming. >> We're excited to get some of those. (laughing) But yeah, it's crazy that sensor technology keeps getting better, more pixels, more data. Which really throws sort of another monkey wrench into your solution because the cameras are getting higher capacity every year. We just shot a project in Iceland with a RED 8K Helium camera. That's a 36 megapixel still camera essentially, but shooting 24 frames or 30 frames per second of data. So we're talking, we shot 24 terabytes in a week. (laughing) >> 24 terabytes in a week. >> Lucas: In a week. >> Yeah so definitely adds a whole other layer of complexity now. Because now you can shoot so much, you can shoot at such higher res. Now you got to capture that stuff, you got to store it, you got to manage it. >> Lucas: And back it up. >> And back it up. >> And because, it's digital right? It's ones and zeros and once those are gone, they're gone forever. So my typical strategy is to have everything in three places. It's kind of the rule. Two, usually in the office. We have a primary copy and then a copy that doesn't ever go anywhere. And then we also have one off-site, so in the unexpected event of a fire, flood, tornado, or getting robbed or something like that, you still have those assets at home. >> Right, right. So I assume that's how you got involved with G-Technology to begin with. >> Yeah, it really started with when I was younger I had an unfortunate incident where brand X had a failure and I went out and found these G-DRIVE minis, which are amazing. I buy three of them per trip. And I reached out to them and sort of told them the story and they had this team that they were putting together and I was fortunate enough to be asked to be a part of that team. >> Okay so what's the mission of the team. What is a GTeam ambassador? >> The GTeam ambassadors are basically, they pick people in different disciplines whether you're a wedding photographer, or a filmmaker, and they basically pick people that are hopefully the best at what they do. Because as a photographer and a filmmaker, I'm out in the public a lot and people ask me, "What kind of camera should I buy? What kind of hard drive should I buy?" So our mission is to go out and educate people on not only the products we that use in our workflow that we rely on for our livelihood, but to really educate people and say, "Hey, you know I know you may never be shooting the Tour de France or going to Iceland and shooting expedition but this is how you could back up your images from your wedding or your kid's soccer game or something like that." >> Jeff: Right, right. >> So sort of an educational role as well as hopefully a little bit of inspiration as well. >> Right. And when it comes down to it, you mention that you used another product that failed you. That's like the old days and you forget to save your Word document, right? It only happens once. >> Lucas: Exactly. It happens once. (laughing) >> It's a very painful experience. >> Right, right. So I mean, is it just reliability? Is there something else in these G-DRIVEs that you like? Obviously reliability is A number one but is there more to it than that? >> Totally. So I was really drawn to the G-Technology because they're really the only ones, or were the only ones, that were putting enterprise class hard drives into enclosures. And people say, well what's the difference? And to me, you're getting a professional product. It's something that's going to last longer. It's meant to be put in an enclosure, in a RAID array. Because like I said, everything needs to be backed up and once it's gone, it's gone. And face it, there's a lot of people that want to be photographers these days. And filmmakers. And I can't go to a client and say "Oh it didn't work out." You know? (laughing) There's no take two. No second chance, you know so. So I really, it is the backbone of my business. Whether you're a restaurant or a photographer, you are providing a product or a service, and if it doesn't work out for somebody, they're not going to come back. >> Right. And it is so easy to go to the alternative. Now what about about Cloud? Is Cloud part of your workflow? >> It is. I'm getting more and more into it. I'm using different resources. But I don't rely on the Cloud as my primary backup. It's a way that's convenient for me to get images to clients or video clips or finished products because then I'm not shipping a drive across the country via FedEx or whatever. So it's another tool in the arsenal. I don't rely on it exclusively, but I feel like it is an important and powerful tool to be able to distribute assets and at the end of the day, make it more convenient for everybody involved. >> So what did you say, 24 terabytes in Iceland. >> 24 terabytes. >> What was the coolest part of that trip? >> Ice caves. >> Ice caves. >> We went into these caves that literally have streams coming out them that the ice they were saying is like 10,000 years old. And you're like the first person to touch this ice. It's really, really crazy. >> And how many people on that shoot? >> We had 6 people. So we had a professional athlete, a surfer. I typically shoot adventure sports and travel. So we brought a professional surfer, we had a MOBI operator, a camera operator, and a grip, - [Jeff] Right. >> an assistant to help out. >> I'm just curious your point of view, right. Even in commercials and advertisements and stuff, still a story narrative, right? It's got to be part of the equation. It's what pulls everything together. >> Story is king, and the second part of that is the quality of the production has to be there. Whether it's the video quality, the content, and/or the sound, all those things are integral keys to being successful. >> So do you find... I just, you know, there's so many toys here. It's like toy heaven for production people. Is it easy to get distracted from the storytelling because of all the toys? How do you begin to integrate and experiment with drones, whether it's your footage, or some of these other tools, and yet kind of stay true to a beautiful narrative that someone's going to be interested in consuming. >> Well it goes back to that thing we were all taught. KISS, right? Keep it simple, stupid. We use drones. We shoot in the water. We use all these tools. But the minute that that tool becomes so heavy that it takes away from being able to tell that story, that's when we've got to be careful because you can get sucked into trying to do a steadicam shot or a MOBI shot all day and all of a sudden you've wasted a whole day if something's not working. So you got to be consistent about what the vision is and your storyboard is because, yeah. Walking around the halls here there's a helicopter you can ride in now all of a sudden. It's like a mini drone. And, I do feel like a kid in a candy store. But you need to make sure that you're not getting so focused on the technology that you're not focusing on that storyline. Because that's really what clients will come back for. It's because as a creative, anybody can go out and automate things and make drone shots and this and that, but it's that story that really ties it all together. >> Right. And I think it's just really interesting how your photography background, more freely into multimedia, right? Which includes video and all the permutations that there are. I saw a cool thing where I guess you can unwrap the 360s so now you get this new kind of artistic, kind of ball impression. So the options are so huge for you right now. >> Yeah, it's really, the sky's the limit. As a professional, I need to make sure that I'm staying up with technology because really the technology is so accessible now from people taking images with their cameras and/or videos. I need to make sure that I'm setting myself apart from that demographic by doing something as a professional that is something that they can't offer. >> Right alright, I'll let you get a plug in so we can go in and see the Iceland footage. Where should people go to take a look at some of your work? >> So they should go to gtechnology.com. There'll be that Iceland. And they'll also be some workflow involved in that video so the people might actually learn something about what they might do to back up their images and/or videos. >> Alright Lucas, well hopefully maybe you got an extra room for a gofer or something on your next trip. And I can come help schlep pumpkins for you. Alright. Lucas Gilman, thanks for stopping by. >> Thanks for having me. >> He's Lucas Gilman and I'm Jeff Frick. You're watching theCUBE. We're talking about G-Tech and really cool movie making, media making. It's all about media and technology here at the NAB 2017. Thanks for watching. (techno music)

Published Date : Apr 25 2017

SUMMARY :

Brought to you by HGST. but at the end of the day you got to find content creators. Some of the work that you do, some of the stuff and commercial purposes to So as you look around, the ways that you It's amazing how the technology is really changed. - the 1 terabytes are coming. We're excited to get some of those. capture that stuff, you got to store it, you got to manage it. It's kind of the rule. So I assume that's how you got involved And I reached out to them and sort of told them the story Okay so what's the mission of the team. the Tour de France or going to Iceland So sort of an educational role as well as hopefully That's like the old days and you forget to save Lucas: Exactly. but is there more to it than that? And I can't go to a client and say And it is so easy to go to the alternative. But I don't rely on the Cloud to touch this ice. So we had a professional athlete, It's got to be part is the quality of the production has to be there. that someone's going to be interested in consuming. So you got to be consistent So the options are so huge for you right now. I need to make sure to take a look at some of your work? So they should go to gtechnology.com. Alright Lucas, well hopefully maybe you got an extra room It's all about media and technology here at the NAB 2017.

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Brian Biles, Datrium & Benjamin Craig, Northrim Bank - #VMworld - #theCUBE


 

>> live from the Mandalay Bay Convention Center in Las Vegas. It's the king covering via World 2016 brought to you by IBM Wear and its ecosystem sponsors. Now here's your host stool minimum, >> including I Welcome back to the Q bomb stew. Minuteman here with my co host for this segment, Mark Farley, and we'll get the emerald 2016 here in Las Vegas. It's been five years since we've been in Vegas, and a lot of changes in five years back Elsa do this morning was talking about five years from now. They expect that to be kind of a crossover between public Cloud becomes majority from our research. We think that flash, you know, capacities. You know, you really are outstripping, You know, traditional hard disk drives within five years from now. So the two guests I have for this program, Brian Vials, is the CEO of Day Tree. Um, it's been a year since we had you on when you came out of stealth on really excited cause your customer along. We love having customers on down from Alaska, you know, within sight view of of of Russia. Maybe on Did you know Ben Craig, who's the c i O of Northern Bank. Thank you so much for coming. All right, so we want to talk a lot to you, but real quick. Ryan, why do you give us kind of the update on the company? What's happened in the last year where you are with the product in customer deployments? >> Sure. Last year, when we talked, daydream was just coming out of stealth mode. So we were introducing the notion of what we're doing. Starting in kind of mid Q. One of this year, we started shipping and deploying. Thankfully, one of our first customers was Ben. And, uh, you know, our our model of, ah, sort of convergence is different from anything else that you'll see a v m world. I think hearing Ben tell about his experience in deployment philosophy. What changed for him is probably the best way to understand what we do. >> All right, so and great leading. Start with first. Can you tell us a little bit about north from bank? How many locations you have your role there. How long you've been there? Kind of a quick synopsis. >> Sure. Where we're growing. Bank one of three publicly traded publicly held companies in the state of Alaska. We recently acquired residential mortgage after acquiring the last Pacific Bank. And so we have locations all the way from Fairbanks, Alaska, where it gets down to negative 50 negative, 60 below Fahrenheit down to Bellevue, Washington. And to be perfectly candid, what's helped propel some of that growth has been our virtual infrastructure and our virtual desktop infrastructure, which is predicated on us being able to grow our storage, which kind of ties directly into what we've got going on with a tree and >> that that that's great. Can you talk to you know what we're using before what led you to day tree? Um, you know, going with the startup is you know, it's a little risky, right? I thought, Cee Io's you buy on risk >> Well, and as a very conservative bank that serves a commercial market, risk is not something that way by into a lot. But it's also what propels some of our best customers to grow with us. And in this case, way had a lot of faith in the people that joined the company. From an early start, I personally knew a lot of the team from sales from engineering from leadership on That got us interested. Once we kind of got the hook way learned about the technology and found out that it was really the I dare say we're unicorn of storage that we've been looking for. And the reason is because way came from a ray based systems and we have the same revolution that a lot of customers did. We started out with a nice, cosy, equal logic system. We evolved into a nimble solution the hybrid era, if you will, of a raise. And we found that as we grew, we ran into scalability problems. A soon as we started tackling beady eye, we found that we immediately needed to segregate our workloads. Obviously, because servers and production beauty, I have a completely different read right profile. As we started looking at some of the limitations as we grew our video structure, we had to consider upgrading all our processors, all of our solid state drives, all of the things that helped make that hybrid array support our VD infrastructure, and it's costly. And so we did that once and then we grew again because maybe I was so darn popular. within our organization. At that time, we kind of caught wind of what was going on with the atrium, and it totally turned the paradigm on top of its head for what we were looking for. >> How did it? Well, I just heard that up, sir. How did the date Reum solution impact the or what did you talk about? The reed, Right balance? What was it about the day trim solution that solved what was the reed right? Balance you there for the >> young when we ran out of capacity with our equal logic, we had to go out and buy a whole new member when he ran out of capacity with are nimble, had to go out and buy a whole new controller. When we run out of capacity with day tree, um, solution, we literally could go out and get commoditized solid state drives one more into our local storage and end up literally impacting our performance by a magnifier. That's huge. So the big difference between day trim and these >> are >> my words I'm probably gonna screw this up, Bryant, So feel free to jump in, and in my opinion day trip starts out with a really good storage area network appliance, and then they basically take away all of you. I interface to it and stick it out on the network for durable rights. Then they move all of the logic, all of the compression, all of the D duplication. Even the raid calculations on to software that I call a hyper driver that runs the hyper visor level on each host. So instead of being bound by the controller doing all the heavy lifting, you now have it being done by a few extra processors, a few extra big of memory out on their servers. That puts the data as close as humanly possible, which is what hyper converging. But it also has this very durable back end that ensures that your rights are protected. So instead of having to span my storage across all of my hosts, I still have all the best parts of a durable sand on all the best parts of high performance. By bringing that that data closer to where the host. So that's why Atrium enabled us to be able to grow our VD I infrastructure literally overnight. Whenever we ran out of performance, we just pop in another drive and go and the performances is insane. We just finished writing a 72 page white paper for VM, where we did our own benchmarking. Um, using my OMETER sprayers could be using our secondary data center Resource is because they were, frankly, somewhat stagnant, and we knew that we'd be able to get with most level test impossible. And we found that we were getting insane amounts of performance, insane amounts of compression. And by that I can quantify we're getting 132,000 I ops at a little bit over a gig a sec running with two 0.94 milliseconds of late and see that's huge. And one of the things that we always used to compare when it came to performance was I ops and throughput. Whenever we talk to any storage vendor, they're always comparing. But we never talked about lately because Leighton See was really network bound and their storage bender could do anything about that. But by bringing the the brain's closer to the hosts, it solves that problem. And so now our latent C that was like a 25 minutes seconds using a completely unused, nimble storage sand was 2.94 milliseconds. What that translated into was about re X performance increase. So when we went from equal logic to nimble, we saw a multiplier. There we went from nimble toed D atrium. We saw three Export Supplier, and that translated directly into me being able to send our night processors home earlier. Which means less FT. Larger maintenance window times, faster performance for all of our branches. So it went on for a little bit there. But that's what daydreams done for us, >> right? And just to just to amplify that part of the the approached atrium Staking is to assume that host memory of some kind or another flash for now is going to become so big and so cheap that reads will just never leave the host at some point. And we're trying to make that point today. So we've increased our host density, for example, since last year, flash to 16 terabytes per host. Raw within line di Dupin compression. That could be 50 a 100 terabytes. So we have customers doing fairly big data warehouse operations where the reeds never leave the host. It's all host Flash Leighton see and they can go from an eight hour job to, ah, one hour job. It's, you know, and in our model, we sell a system that includes a protected repositories where the rights go. That's on a 10 big network. You buy hosts that have flash that you provisions from your server vendor? Um, we don't charge extra for the software that we load on the host. That does all the heavy lifting. It does the raid compression d do cloning. What have you It does all the local cashing. So we encourage people to put as much flash and as many hosts as possible against that repositories, and we make it financially attractive to do that. >> So how is the storage provisioned? Is it a They're not ones. How? >> So It all shows up, and this is one of the other big parts that is awesome for us. It shows up his one gigantic NFS datastore. Now it doesn't actually use NFS. Itjust presents that way to be anywhere. But previously we had about 34 different volumes. And like everybody else on the planet who thin provisions, we had to leave a buffer zone because we'd have developers that would put a bm where snapshot on something patches. Then forget about it, Philip. The volume bring the volume off lying panic ensues. So you imagine that 30 to 40% of buffer space times each one of those different volumes. Now we have one gigantic volume and each VM has its performance and all of its protection managed individually at the bm level. And that's huge because no longer do you have to set protection performance of the volume level. You can set it right in the B m. Um, >> so you don't even see storage. >> You don't ever have to log into the appliance that all you >> do serve earless storage lists. Rather, this is what we're having. It's >> all through the place. >> And because because all the rights go off, host the rights, don't interrupt each other the host on interrupt together. So we actually going to a lot of links to make sure that happens. So there's an isolation host, a host. That means if you want a provisional particular host for a particular set of demands, you can you could have VD I next door to data warehouse and you know the level of intensity doesn't matter to each other. So it's very specifically enforceable by host configuration or by managing the VM itself. Justus, you would do with the M where >> it gets a lot more flexibility than we would typically get with a hyper converge solution that has a very static growth and performance requirements. >> So when you talk about hyper convergence, the you know, number one, number two and number three things that we usually talk about is, you know, simplicity. So you're a pretty technical guy. You obviously understand this. Well, can you speak to beyond the, you know, kind of ecological nimble and how you scale that house kind of the day's your experience. How's the ongoing, how much you after, you know, test and tweak and adjust things? And how much is it? Just work? >> Well, this is one of the reasons that we went with the atrium is well, you know, when it comes down to it with a hyper converge solution, you're spanning all of your storage across your host, right? We're trying to make use of those. Resource is, but we just recently had one of our server's down because it had a problem with his bios for a little over 10 days. Troubleshooting it. It just doesn't want to stay up. If we're in a full hyper converged infrastructure and that was part of the cluster, that means that our data would've had to been migrated off of that hostess. Well, which is kind of a big deal. I love the idea of having a rock solid, purpose built, highly available device that make sure that my rights are there for me, but allows me to have the elastic configuration that I need on my host to be able to grow them as I see fit. And also to be able to work directly with my vendors to get the pricing points that I need for each. My resource is so our Oracle Servers Exchange Server sequel servers. We could put in some envy Emmy drives. It'll screen like a scalded dog, and for all of our file print servers, I t monitoring servers. We can go with Cem Samsung 8 50 e b o. Drives pop him in a couple of empty days, and we're still able to crank out the number of I ops that we need to be able. Thio appreciate between those at a very low cost point, but with a maximum amount of protection on that data. So that was a big song. Points >> are using both envy. Emmy and Block. >> We actually going through a server? Refresh. Right now, it's all part of the white paper that way. Just felt we decided to go with Internal in Vienna drives to start with two two terabyte internal PC cards. And then we have 2.5 inch in Vienna ready on the front load. But we also plumbed it to be able to use solid state drive so that we have that flexibility in the future to be able to use those servers as we see fit. So again, very elastic architecture and allows us to be kind of a control of what performance is assigned to each individual host. >> So what APS beyond VD? I Do you expect to use this for? Are you already deploying it further? >> VD I is our biggest consumer of resource is our users have come to expect that instant access to all of their applications eventually way have the ability to move the entire data center onto the day trim and so One of the things that we're currently completing this year is the rollout of beady eye to the remaining 40% of our branches. 60% of them are already running through the eye. And then after that, we're probably gonna end up taking our core servers and migrating them off and kind of through attrition, using some of our older array based technology for testing death. All >> right, so I can't let you go without asking you a bit. Just you're in a relationship with GM Ware House Veum. We're meeting your needs. Is there anything from GM wear or the storage ecosystem around them that would kind of make your job easier? >> Yes. If they got rid of the the Sphere Web client, that would be great. I am not a fan of the V Sphere Web client at all, and I wish they'd bring back the C Sharp client like to get that on the record because I tried to every single chance I could get. No, the truth is the integration between the day tree, um and being where is it's super tight. It's something I don't have to think about. It makes it easy for me to be able to do my job at the end of the day. That's what we're looking for. So I think the biggest focus that a lot of the constituents that air the Anchorage being where user group leader of said group are looking for stability and product releases and trying to make sure that there's more attention given to que es on some of the recent updates that they have. Hyper visor Weber >> Brian, I'll give you the final word takeaways that you want people to know about your company, your customers coming out. >> Of'em World. We're thrilled to be here for the second year, thrilled to be here with Ben. It's a It's a great, you know, exciting period for us. As a vendor, we're just moving into sort of nationwide deployment. So check us out of here at the show. If you're not, check us out on the Web. There's a lot of exciting things happening in convergence in general and atriums leading the way in a couple of interesting ways. All >> right, Brian and Ben, thank you so much for joining us. You know, I don't think we've done a cube segment in Alaska yet. so maybe we'll have to talk to you off camera about that. Recommended. All right. We'll be back with lots more coverage here from the emerald 2016. Thanks for watching the Cube. >> You're good at this. >> Oh, you're good.

Published Date : Aug 30 2016

SUMMARY :

It's the king covering We think that flash, you know, So we were introducing the notion of what we're doing. How many locations you have your role there. And so we have locations all the way from Fairbanks, Alaska, where it gets down to negative 50 negative, Um, you know, going with the startup is you know, it's a little risky, right? at some of the limitations as we grew our video structure, we had to consider How did the date Reum solution impact the or what we had to go out and buy a whole new member when he ran out of capacity with are nimble, had to go out and buy a whole new So instead of being bound by the controller doing all the heavy lifting, you now have it being You buy hosts that have flash that you provisions from your server vendor? So how is the storage provisioned? So you imagine that 30 to 40% of buffer space times Rather, this is what we're having. So we actually going to a lot of links to make sure that happens. it gets a lot more flexibility than we would typically get with a hyper converge solution that has a very static How's the ongoing, how much you after, you know, test and tweak and adjust things? Well, this is one of the reasons that we went with the atrium is well, you know, Emmy and Block. so that we have that flexibility in the future to be able to use those servers as we see fit. have the ability to move the entire data center onto the day trim and so One of the things that we're currently right, so I can't let you go without asking you a bit. focus that a lot of the constituents that air the Anchorage being where user group leader Brian, I'll give you the final word takeaways that you want people to know about your company, It's a It's a great, you know, exciting period for us. so maybe we'll have to talk to you off camera about that.

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