Jack Andersen & Joel Minnick, Databricks | AWS Marketplace Seller Conference 2022
(upbeat music) >> Welcome back everyone to The Cubes coverage here in Seattle, Washington. For AWS's Marketplace Seller Conference. It's the big news within the Amazon partner network, combining with marketplace, forming the Amazon partner organization. Part of a big reorg as they grow to the next level, NextGen cloud, mid-game on the chessboard. Cube's got it covered. I'm John Furry, your host at Cube. Great guests here from Data bricks. Both cube alumni's. Jack Anderson, GM and VP of the Databricks partnership team for AWS. You handle that relationship and Joel Minick vice president of product and partner marketing. You guys have the keys to the kingdom with Databricks and AWS. Thanks for joining. Good to see you again. >> Thanks for having us back. >> Yeah, John, great to be here. >> So I feel like we're at Reinvent 2013. Small event, no stage, but there's a real shift happening with procurement. Obviously it's a no brainer on the micro, you know, people should be buying online. Self-service, Cloud Scale. But Amazon's got billions being sold through their marketplace. They've reorganized their partner network. You can see kind of what's going on. They've kind of figured it out. Like let's put everything together and simplify and make it less of a website, marketplace. Merge our partner organizations, have more synergy and frictionless experiences so everyone can make more money and customer's are going to be happier. >> Yeah, that's right. >> I mean, you're running relationship. You're in the middle of it. >> Well, Amazon's mental model here is that they want the world's best ISVs to operate on AWS so that we can collaborate and co architect on behalf of customers. And that's exactly what the APO and marketplace allow us to do, is to work with Amazon on these really, you know, unique use cases. >> You know, I interviewed Ali many times over the years. I remember many years ago, maybe six, seven years ago, we were talking. He's like, "we're all in on AWS." Obviously now the success of Databricks, you've got multiple clouds, see that. Customers have choice. But I remember the strategy early on. It was like, we're going to be deep. So this is, speaks volumes to the relationship you have. Years. Jack, take us through the relationship that Databricks has with AWS from a partner perspective. Joel, and from a product perspective. Because it's not like you guys are Johnny come lately, new to the scene. >> Right. >> You've been there, almost president creation of this wave. What's the relationship and how does it relate to what's going on today? >> So most people may not know that Databricks was born on AWS. We actually did our first $100 million of revenue on Amazon. And today we're obviously available on multiple clouds. But we're very fond of our Amazon relationship. And when you look at what the APN allows us to do, you know, we're able to expand our reach and co-sell with Amazon, and marketplace broadens our reach. And so, we think of marketplace in three different aspects. We've got the marketplace private offer business, which we've been doing for a number of years. Matter of fact, we were driving well over a hundred percent year over year growth in private offers. And we have a nine figure business. So it's a very significant business. And when a customer uses a private offer, that private offer counts against their private pricing agreement with AWS. So they get pricing power against their private pricing. So it's really important it goes on their Amazon bill. In may we launched our pay as you go, on demand offering. And in five short months, we have well over a thousand subscribers. And what this does, is it really reduces the barriers to entry. It's low friction. So anybody in an enterprise or startup or public sector company can start to use Databricks on AWS, in a consumption based model, and have it go against their monthly bill. And so we see customers, you know, doing rapid experimentation, pilots, POCs. They're really learning the value of that first, use case. And then we see rapid use case expansion. And the third aspect is the consulting partner, private offer, CPPO. Super important in how we involve our partner ecosystem of our consulting partners and our resellers that are able to work with Databricks on behalf of customers. >> So you got the big contracts with the private offer. You got the product market fit, kind of people iterating with data, coming in with the buyers you get. And obviously the integration piece all fitting in there. >> Exactly. >> Okay, so those are the offers, that's current, what's in marketplace today. Is that the products... What are people buying? >> Yeah. >> I mean, I guess what's the... Joel, what are people buying in the marketplace? And what does it mean for them? >> So fundamentally what they're buying is the ability to take silos out of their organization. And that is the problem that Databricks is out there to solve. Which is, when you look across your data landscape today, you've got unstructured data, you've got structured data, you've got real time streaming data. And your teams are trying to use all of this data to solve really complicated problems. And as Databricks, as the Lakehouse Company, what we're helping customers do is, how do they get into the new world? How do they move to a place where they can use all of that data across all of their teams? And so we allow them to begin to find, through the marketplace, those rapid adoption use cases where they can get rid of these data warehousing, data lake silos they've had in the past. Get their unstructured and structured data onto one data platform, an open data platform, that is no longer adherent to any proprietary formats and standards and something they can, very much, very easily, integrate into the rest of their data environment. Apply one common data governance layer on top of that. So that from the time they ingest that data, to the time they use that data, to the time they share that data, inside and outside of their organization, they know exactly how it's flowing. They know where it came from. They know who's using it. They know who has access to it. They know how it's changing. And then with that common data platform, with that common governance solution, they'd being able to bring all of those use cases together. Across their real time streaming, their data engineering, their BI, their AI. All of their teams working on one set of data. And that lets them move really, really fast. And it also lets them solve challenges they just couldn't solve before. A good example of this, you know, one of the world's now largest data streaming platforms runs on Databricks with AWS. And if you think about what does it take to set that up? Well, they've got all this customer data that was historically inside of data warehouses. That they have to understand who their customers are. They have all this unstructured data, they've built their data science model, so they can do the right kinds of recommendation engines and forecasting around. And then they've got all this streaming data going back and forth between click stream data, from what the customers are doing with their platform and the recommendations they want to push back out. And if those teams were all working in individual silos, building these kinds of platforms would be extraordinarily slow and complex. But by building it on Databricks, they were able to release it in record time and have grown at a record pace to now be the number one platform. >> And this product, it's impacting product development. >> Absolutely. >> I mean, this is like the difference between lagging months of product development, to like days. >> Yes. >> Pretty much what you're getting at. >> Yes. >> So total agility. >> Mm-hmm. >> I got that. Okay, now, I'm a customer I want to buy in the marketplace, but you got direct Salesforce up there. So how do you guys look at this? Is there channel conflict? Are there comp programs? Because one of the things I heard today in on the stage from AWS's leadership, Chris, was up there speaking, and Mona was, "Hey, he's a CRO conference chief revenue officer" conversation. Which means someone's getting compensated. So, if I'm the sales rep at Databricks, what's my motion to the customer? Do I get paid? Does Amazon sell it? Take us through that. Is there channel conflict? Or, how do you handle it? >> Well, I'd add what Joel just talked about with, you know, with the solution, the value of the solution our entire offering is available on AWS marketplace. So it's not a subset, it's the entire Data Bricks offering. And- >> The flagship, all the, the top stuff. >> Everything, the flagship, the complete offering. So it's not segmented. It's not a sub segment. >> Okay. >> It's, you know, you can use all of our different offerings. Now when it comes to seller compensation, we view this two different ways, right? One is that AWS is also incented, right? Versus selling a native service to recommend Databricks for the right situation. Same thing with Databricks, our sales force wants to do the right thing for the customer. If the customer wants to use marketplace as their procurement vehicle. And that really helps customers because if you get Databricks and five other ISVs together, and let's say each ISV is spending, you're spending a million dollars. You have $5 million of spend. You put that spend through the flywheel with AWS marketplace, and then you can use that in your negotiations with AWS to get better pricing overall. So that's how we view it. >> So customers are driving. This sounds like. >> Correct. For sure. >> So they're looking at this as saying, Hey, I'm going to just get purchasing power with all my relationships. Because it's a solution architectural market, right? >> Yeah. It makes sense. Because if most customers will have a primary and secondary cloud provider. If they can consolidate, you know, multiple ISV spend through that same primary provider, you get pricing power. >> Okay, Joel, we're going to date ourselves. At least I will. So back in the old days, (group laughter) It used to be, do a Barney deal with someone, Hey, let's go to market together. You got to get paper, you do a biz dev deal. And then you got to say, okay, now let's coordinate our sales teams, a lot of moving parts. So what you're getting at here is that the alternative for Databricks, or any company is, to go find those partners and do deals, versus now Amazon is the center point for the customer. So you can still do those joint deals, but this seems to be flipping the script a little bit. >> Well, it is, but we still have vars and consulting partners that are doing implementation work. Very valuable work, advisory work, that can actually work with marketplace through the CPPO offering. So the marketplace allows multiple ways to procure your solution. >> So it doesn't change your business structure. It just makes it more efficient. >> That's correct. >> That's a great way to say it. >> Yeah, that's great. >> Okay. So, that's it. So that's just makes it more efficient. So you guys are actually incented to point customers to the marketplace. >> Yes. >> Absolutely. >> Economically. >> Economically, it's the right thing to do for the customer. It's the right thing to do for our relationship with Amazon. Especially when it comes back to co-selling, right? Because Amazon now is leaning in with ISVs and making recommendations for, you know, an ISV solution. And our teams are working backwards from those use cases, you know, to collaborate and land them. >> Yeah. I want to get that out there. Go ahead, Joel. >> So one of the other things I might add to that too, you know, and why this is advantageous for companies like Databricks to work through the marketplace. Is it makes it so much easier for customers to deploy a solution. It's very, literally, one click through the marketplace to get Databricks stood up inside of your environment. And so if you're looking at how do I help customers most rapidly adopt these solutions in the AWS cloud, the marketplace is a fantastic accelerator to that. >> You know, it's interesting. I want to bring this up and get your reaction to it because to me, I think this is the future of procurement. So from a procurement standpoint, I mean, again, dating myself, EDI back in the old days, you know, all that craziness. Now this is all the internet, basically through the console. I get the infrastructure side, you know, spin up and provision some servers, all been good. You guys have played well there in the marketplace. But now as we get into more of what I call the business apps, and they brought this up on stage. A little nuanced. Most enterprises aren't yet there of integrating tech, on the business apps, into the stack. This is where I think you guys are a use case of success where you guys have been successful with data integration. It's an integrators dilemma, not an innovator's dilemma. So like, I want to integrate. So now I have integration points with Databricks, but I want to put an app in there. I want to provision an application, but it has to be built. It's not, you don't buy it. You build, you got to build stuff. And this is the nuance. What's your reaction to that? Am I getting this right? Or am I off because, no one's going to be buying software like they used to. They buy software to integrate it. >> Yeah, no- >> Because everything's integrated. >> I think AWS has done a great job at creating a partner ecosystem, right? To give customers the right tools for the right jobs. And those might be with third parties. Databricks is doing the same thing with our partner connect program, right? We've got customer partners like Five Tran and DBT that, you know, augment and enhance our platform. And so you're looking at multi ISV architectures and all of that can be procured through the AWS marketplace. >> Yeah. It's almost like, you know, bundling and un bundling. I was talking about this with, with Dave Alante about Supercloud. Which is why wouldn't a customer want the best solution in their architecture? Period. In its class. If someone's got API security or an API gateway. Well, you know, I don't want to be forced to buy something because it's part of a suite. And that's where you see things get sub optimized. Where someone dominates a category and they have, oh, you got to buy my version of this. >> Joel and I were talking, we were actually saying, what's really important about Databricks, is that customers control the data, right? You want to comment on that? >> Yeah. I was going to say, you know, what you're pushing on there, we think is extraordinarily, you know, the way the market is going to go. Is that customers want a lot of control over how they build their data stack. And everyone's unique in what tools are the right ones for them. And so one of the, you know, philosophically, I think, really strong places, Databricks and AWS have lined up, is we both take an approach that you should be able to have maximum flexibility on the platform. And as we think about the Lakehouse, one thing we've always been extremely committed to, as a company, is building the data platform on an open foundation. And we do that primarily through Delta Lake and making sure that, to Jack's point, with Databricks, the data is always in your control. And then it's always stored in a completely open format. And that is one of the things that's allowed Databricks to have the breadth of integrations that it has with all the other data tools out there. Because you're not tied into any proprietary format, but instead are able to take advantage of all the innovation that's happening out there in the open source ecosystem. >> When you see other solutions out there that aren't as open as you guys, you guys are very open by the way, we love that too. We think that's a great strategy, but what am I foreclosing if I go with something else that's not as open? What's the customer's downside as you think about what's around the corner in the industry? Because if you believe it's going to be open, open source, which I think open source software is the software industry, and integration is a big deal. Because software's going to be plentiful. >> Sure. >> Let's face it. It's a good time to be in software business. But Cloud's booming. So what's the downside, from your Databricks perspective? You see a buyer clicking on Databricks versus that alternative. What's potentially should they be a nervous about, down the road, if they go with a more proprietary or locked in approach? >> Yeah. >> Well, I think the challenge with proprietary ecosystems is you become beholden to the ability of that provider to both build relationships and convince other vendors that they should invest in that format. But you're also, then, beholden to the pace at which that provider is able to innovate. >> Mm-hmm. >> And I think we've seen lots of times over history where, you know, a proprietary format may run ahead, for a while, on a lot of innovation. But as that market control begins to solidify, that desire to innovate begins to degrade. Whereas in the open formats- >> So extract rents versus innovation. (John laughs) >> Exactly. Yeah, exactly. >> I'll say it. >> But in the open world, you know, you have to continue to innovate. >> Yeah. >> And the open source world is always innovating. If you look at the last 10 to 15 years, I challenge you to find, you know, an example where the innovation in the data and AI world is not coming from open source. And so by investing in open ecosystems, that means you are always going to be at the forefront of what is the latest. >> You know, again, not to date myself again, but you look back at the eighties and nineties, the protocol stacked with proprietary. >> Yeah. >> You know, SNA and IBM, deck net was digital. You know the rest. And then TCPIP was part of the open systems interconnect. >> Mm-hmm. >> Revolutionary (indistinct) a big part of that, as well as my school did. And so like, you know, that was, but it didn't standardize the whole stack. It stopped at IP and TCP. >> Yeah. >> But that helped inter operate, that created a nice defacto. So this is a big part of this mid game. I call it the chessboard, you know, you got opening game and mid-game, then you get the end game. You're not there at the end game yet at Cloud. But Cloud- >> There's, always some form of lock in, right? Andy Jazzy will address it, you know, when making a decision. But if you're going to make a decision you want to reduce- You don't want to be limited, right? So I would advise a customer that there could be limitations with a proprietary architecture. And if you look at what every customer's trying to become right now, is an AI driven business, right? And so it has to do with, can you get that data out of silos? Can you organize it and secure it? And then can you work with data scientists to feed those models? >> Yeah. >> In a very consistent manner. And so the tools of tomorrow will, to Joel's point, will be open and we want interoperability with those tools. >> And choice is a matter too. And I would say that, you know, the argument for why I think Amazon is not as locked in as maybe some other clouds, is that they have to compete directly too. Redshift competes directly with a lot of other stuff. But they can't play the bundling game because the customers are getting savvy to the fact that if you try to bundle an inferior product with something else, it may not work great at all. And they're going to be, they're onto it. This is the- >> To Amazon's credit by having these solutions that may compete with native services in marketplace, they are providing customers with choice, low price- >> And access to the core value. Which is the hardware- >> Exactly. >> Which is their platform. Okay. So I want to get you guys thought on something else I see emerging. This is, again, kind of Cube rumination moment. So on stage, Chris unpacked a lot of stuff. I mean this marketplace, they're touching a lot of hot buttons here, you know, pricing, compensation, workflows, services behind the curtain. And one of those things he mentioned was, they talk about resellers or channel partners, depending upon what you talk about. We believe, Dave and I believe on the Cube, that the entire indirect sales channel of the industry is going to be disrupted radically. Because those players were selling hardware in the old days and software. That game is going to change. You mentioned you guys have a program, let me get your thoughts on this. We believe that once this gets set up, they can play in this game and bring their services in. Which means that the old reseller channels are going to be rewritten. They're going to be refactored with this new kinds of access. Because you've got scale, you've got money and you've got product. And you got customers coming into the marketplace. So if you're like a reseller that sold computers to data centers or software, you know, a value added reseller or VAB or business. >> You've got to evolve. >> You got to, you got to be here. >> Yes. >> Yeah. >> How are you guys working with those partners? Because you say you have a product in your marketplace there. How do I make money if I'm a reseller with Databricks, with Amazon? Take me through that use case. >> Well I'll let Joel comment, but I think it's pretty straightforward, right? Customers need expertise. They need knowhow. When we're seeing customers do mass migrations to the cloud or Hadoop specific migrations or data transformation implementations. They need expertise from consulting and SI partners. If those consulting and SI partners happen to resell the solution as well. Well, that's another aspect of their business. But I really think it is the expertise that the partners bring to help customers get outcomes. >> Joel, channel big opportunity for Amazon to reimagine this. >> For sure. Yeah. And I think, you know, to your comment about how do resellers take advantage of that, I think what Jack was pushing on is spot on. Which is, it's becoming more and more about the expertise you bring to the table. And not just transacting the software. But now actually helping customers make the right choices. And we're seeing, you know, both SIs begin to be able to resell solutions and finding a lot of opportunity in that. >> Yeah. And I think we're seeing traditional resellers begin to move into that SI model as well. And that's going to be the evolution that this goes. >> At the end of the day, it's about services, right? >> For sure. Yeah. >> I mean... >> You've got a great service. You're going to have high gross profits. >> Yeah >> Managed service provider business is alive and well, right? Because there are a number of customers that want that type of a service. >> I think that's going to be a really hot, hot button for you guys. I think being the way you guys are open, this channel, partner services model coming in, to the fold, really kind of makes for kind of that Supercloud like experience, where you guys now have an ecosystem. And that's my next question. You guys have an ecosystem going on, within Databricks. >> For sure. >> On top of this ecosystem. How does that work? This is kind of like, hasn't been written up in business school and case studies yet. This is new. What is this? >> I think, you know, what it comes down to is, you're seeing ecosystems begin to evolve around the data platforms. And that's going to be one of the big, kind of, new horizons for us as we think about what drives ecosystems. It's going to be around, well, what's the data platform that I'm using? And then all the tools that have to encircle that to get my business done. And so I think there's, you know, absolutely ecosystems inside of the AWS business on all of AWS's services, across data analytics and AI. And then to your point, you are seeing ecosystems now arise around Databricks in its Lakehouse platform as well. As customers are looking at well, if I'm standing these Lakehouses up and I'm beginning to invest in this, then I need a whole set of tools that help me get that done as well. >> I mean you think about ecosystem theory, we're living a whole nother dream. And I'm not kidding. It hasn't yet been written up and for business school case studies is that, we're now in a whole nother connective tissue, ecology thing happening. Where you have dependencies and value proposition. Economics, connectedness. So you have relationships in these ecosystems. >> And I think one of the great things about the relationships with these ecosystems, is that there's a high degree of overlap. >> Yeah. >> So you're seeing that, you know, the way that the cloud business is evolving, the ecosystem partners of Databricks, are the same ecosystem partners of AWS. And so as you build these platforms out into the cloud, you're able to really take advantage of best of breed, the broadest set of solutions out there for you. >> Joel, Jack, I love it because you know what it means? The best ecosystem will win, if you keep it open. >> Sure, sure. >> You can see everything. If you're going to do it in the dark, you know, you don't know the outcome. I mean, this is really kind of what we're talking about. >> And John, can I just add that when I was at Amazon, we had a theory that there's buyers and builders, right? There's very innovative companies that want to build things themselves. We're seeing now that that builders want to buy a platform. Right? >> Yeah. >> And so there's a platform decision being made and that ecosystem is going to evolve around the platform. >> Yeah, and I totally agree. And the word innovation gets kicked around. That's why, you know, when we had our Supercloud panel, it was called the innovators dilemma, with a slash through it, called the integrater's dilemma. Innovation is the digital transformation. So- >> Absolutely. >> Like that becomes cliche in a way, but it really becomes more of a, are you open? Are you integrating? If APIs are connective tissue, what's automation, what's the service messages look like? I mean, a whole nother set of, kind of thinking, goes on in these new ecosystems and these new products. >> And that thinking is, has been born in Delta Sharing, right? So the idea that you can have a multi-cloud implementation of Databricks, and actually share data between those two different clouds, that is the next layer on top of the native cloud solution. >> Well, Databricks has done a good job of building on top of the goodness of, and the CapEx gift from AWS. But you guys have done a great job taking that building differentiation into the product. You guys have great customer base, great growing ecosystem. And again, I think a shining example of what every enterprise is going to do. Build on top of something, operating model, get that operating model, driving revenue. >> Mm-hmm. >> Yeah. >> Whether, you're Goldman Sachs or capital one or XYZ corporation. >> S and P global, NASDAQ. >> Yeah. >> We've got, you know, the biggest verticals in the world are solving tough problems with Databricks. I think we'd be remiss because if Ali was here, he would really want to thank Amazon for all of the investments across all of the different functions. Whether it's the relationship we have with our engineering and service teams. Our marketing teams, you know, product development. And we're going to be at Reinvent. A big presence at Reinvent. We're looking forward to seeing you there, again. >> Yeah. We'll see you guys there. Yeah. Again, good ecosystem. I love the ecosystem evolutions happening. This NextGen Cloud is here. We're seeing this evolve, kind of new economics, new value propositions kind of scaling up. Producing more. So you guys are doing a great job. Thanks for coming on the Cube and taking the time. Joel, great to see you at the check. >> Thanks for having us, John. >> Okay. Cube coverage here. The world's changing as APN comes together with the marketplace for a new partner organization at Amazon web services. The Cube's got it covered. This should be a very big, growing ecosystem as this continues. Billions of being sold through the marketplace. And of course the buyers are happy as well. So we've got it all covered. I'm John Furry. your host of the cube. Thanks for watching. (upbeat music)
SUMMARY :
You guys have the keys to the kingdom on the micro, you know, You're in the middle of it. you know, unique use cases. to the relationship you have. and how does it relate to And so we see customers, you know, And obviously the integration Is that the products... buying in the marketplace? And that is the problem that Databricks And this product, it's the difference between So how do you guys look at So it's not a subset, it's the Everything, the flagship, and then you can use So customers are driving. For sure. Hey, I'm going to just you know, multiple ISV spend here is that the alternative So the marketplace allows multiple ways So it doesn't change So you guys are actually incented It's the right thing to do for out there. the marketplace to get Databricks stood up I get the infrastructure side, you know, Databricks is doing the same thing And that's where you see And that is one of the things that aren't as open as you guys, down the road, if they go that provider is able to innovate. that desire to innovate begins to degrade. So extract rents versus innovation. Yeah, exactly. But in the open world, you know, And the open source the protocol stacked with proprietary. You know the rest. And so like, you know, that was, I call it the chessboard, you know, And if you look at what every customer's And so the tools of tomorrow And I would say that, you know, And access to the core value. to data centers or software, you know, How are you guys working that the partners bring to to reimagine this. And I think, you know, And that's going to be the Yeah. You're going to have high gross profits. that want that type of a service. I think being the way you guys are open, This is kind of like, And so I think there's, you know, So you have relationships And I think one of the great things And so as you build these because you know what it means? in the dark, you know, that want to build things themselves. to evolve around the platform. And the word innovation more of a, are you open? So the idea that you and the CapEx gift from AWS. Whether, you're Goldman for all of the investments across Joel, great to see you at the check. And of course the buyers
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Anthony Cunha, Mercury Financial & Alex Arango, Mercury Financial | CrowdStrike Fal.Con 2022
(upbeat music) >> Welcome back to Fal.Con 22. We're here at the ARIA hotel in Las Vegas. We're here in Las Vegas, a lot. Dave Nicholson, Dave Alante. Fal.Con 22, wall to wall coverage, you're watching theCUBE. Anthony Kunya is here. He's the chief information security officer at Mercury Financial. And he's joined by his deputy CISO, Alex Arengo. Welcome, gentlemen. >> Good to see you. >> Thank you very much. Good to be here. Thank you for the opportunity to speak. >> Yeah, so this is a great event. This is our first time being at the, a CrowdStrike customer event. We do a lot of security shows, but this is really intimate. We got a high flying company. Tell us first about, of Mercury Financial. What are you guys all about? >> Oh, that's a fantastic question. Let's leeway into that. So Mercury Financial is a credit card company that serves people who are near prime. So be it some kind of hardship in their life. They had something impacted, be a financial impact, maybe a medical impact, an emergency, something, a death family where somehow their credit was impacted. We give 'em the opportunity through our motto, better credit, better life, to build up that credit score to add livelihood to their ability to be financially stable. >> I mean, I think this is huge because you know, so many people it's like, okay, one strike and you're out. >> Right. >> You know, that's just not right. You got- >> No, not at all. >> You got to give people another chance. And so there's so much talent out there. I think about some of the mistakes I made, Dave, when I was a younger man, but- >> No comment. >> Right. So I heard a stat today that I thought was great. Did you guys see the keynote? >> Yes. >> Of course. >> So in the keynote, the, they did the thing at Black Hat but they said what's XDR and I thought- Anthony] Oh goodness. >> My favorite, and I'm not going to ask you what XDR is. >> Okay, good, thank God. >> But my favorite answer was a holistic approach to endpoint security. And, you know, I think as a CISO you have to take a holistic approach to a security- >> Of course. >> Okay. >> Maybe talk about, a little bit about how you do that. >> Wow, a holistic approach I would say and I could, I'll give you an opportunity to speak as well, but a holistic approach it's people processes in technology. So a holistic approach would be, it isn't one box that you check. It's not a technology that is a silver bullet that fixes anything. Those technologies, those services are implemented by people. So good training, our human firewall, the forefront of implementing those technologies to build those processes and incorporate people and a level of sincerity and integrity that we build. So I feel like a holistic approach is both cyber culture to build the cyber resilience program that we so dearly need. >> And I could spend all day talking about security organizations, SecOps, DevSecOps, data SecOps, et cetera, but, but Alex, how, what is your role as the deputy CISO? How do you compliment what Anthony does? >> I got to bring it all together, right? So technically, what are we putting in place? What are the requirements that these stakeholders have? Their needs, their wants. We all have something that we need and want in our environment as an employee, as a customer, as a stakeholder. How do do we get that to market? How can we get it there quickly? You know, and it's really about finding the partners that can get us there, right? That can leverage us, that can force multiply us. >> Yes. >> You know, give my people more time to get the work done, the good work. >> Right, the hard work, of course. >> So paint a picture. You know, we hear a lot about all the different, the bevy of tools, the, how complicated CISOs tell us all the time, that we just don't have enough talent. We're looking for partners to help us compromise, but paint a picture of your environment and how you guys use CrowdStrike. >> Oh, that's a good one. Do you want to take this one? >> Great one, right? I mean, we leverage CrowdStrike at every way we can. We're a Fal.Con complete customer. So they're an extension of our team. They're an extension of our SOC right? >> Yeah. >> We leverage them for many things. We leverage them to understand the risk in our environment. Where we're at in zero trust. How we can really bring a lot of the new processes that the business wants to market, right? How can we get there as fast as possible? Can we make it secure, right? I'm a Mercury card customer also. So I'm, I have a vested interested in that. And I like to drive that, that's, so it comes down to can you align your holistic approach, or your organizational goals and bring that to a really good security product that is world class? >> And I can add a little bit to that as well. So I look at it as a triangle. So we leverage Fal.Con complete as that first level, tier one triage, people who do and understand the product extremely well, we leverage them quite a bit. We also have a VSOC service that we have this like, consider tier two or the middle of the triangle, by Verse, right? >> Yeah. >> Fantastic boutique security company that just has been working with us year over year, innovation, strategic initiatives, always there to play. And then Alex Arengo, and the threat management team, is our top tier, that's tier three, that's the top of the pyramid. By the time it bubbles up to Alex, that's when the real work happens, everyone's triaging, collecting data, putting together pieces. And then Alex and his teammates, and people that he's trained, fantastic, comes and puts it all together and paints a picture so we can then take that information and describe it in layman's terms, simple terms, to the business, to make them understand the level of risk, what we have to do to get to, and through that attack, or that indication of compromise, et cetera, so that we can remediate it, rectify it. >> Right, it's building that security culture foundation, right? It's getting everyone to buy into that. >> Yeah. >> It's a holistic approach and it's really the best way to do it, right? You get bought in from the stakeholders understand what they need to do, and what the goals of the business are. And it really works really well >> We journey together. >> We build a program together. >> Dave, I think that that cultural aspect is critical. Cause I've said many times, bad user behavior trumps good security every time. >> Yeah, absolutely. >> Oh goodness. >> Every time. >> Nicely put, I like that. >> So, I know we're early in the week still, but we did have the keynote. Is there anything that you are hearing, in terms of vision, that peaks your interest specifically, and then also sort of the follow up question is, are you guys kind of like lifeguards who can't ever relax at the beach? >> That's why I have a deputy CISO. Well, nobody can take time off, we have to share this. Of course we do. Most definitely. What would you say would be the next, most innovative thing that were looking for? >> Yeah, what's the next big thing, as far as you're concerned? >> The next biggest thing is definitely building the relationships we have. As we bring in new technologies, we go even more Cloud native. How do we leverage that expertise, that of the partners that we're bringing on board like Zscaler, CrowdStrike, Verse, right? How do we make them a part of the team, and make them perform, bring that world class quality talent across the spectrum, you know, from DevOps to that security analyst, picking up the phone and saying, I'm not really sure what's going on, but there's a culture that's built there where everybody comes to the table to feed, right? We all eat together. >> The ecosystem. >> Yes. >> That is the tooling that we leverage day in and day out. That's how we sleep at night. We have to pick our partners. >> You know, we talked about the ecosystem up front, and you look around, you can see the ecosystem and it's growing. >> Yes. >> And I predict it's going to grow a lot more. >> Yes. >> That's, and it has to, right? I mean, exactly what you're saying is that no one company can do it alone. And we heard, you know, we heard, it is confusing. You hear CrowdStrike's doing Identity, but then they partner with Okta. Right, and they're here out on the floor. So that's what you guys need. Talk a little bit more about the importance of ecosystem and partnerships from your perspective. >> Oh I got a good one for this. So I use the metaphor of having a restaurant. So we run a restaurant really well. We know what we want in the menu. We have a chef, we know how we want to put together, but we need excellent ingredients. You make muffins well. Bring your muffin into the restaurant. That brings and builds that rapport. That I want the menu to be rich and empower people to come in and say, you know, I've never had scallops or octopus before, I hear you guys make it better than anyone else, well, our ingredients are fantastic. Therefore, no matter what we do when we present it, it's perfect, it's palatable. >> Yeah. That's great. You're not making ice cream, but you're serving it. >> I can't, if you ever want to show us. >> We're just converging our bakery, you know? >> Yeah, yeah, yeah, salt, salt is the key. >> We're just working the bakery part out, yeah. >> Okay, I want to ask you about Cloud because you know, in 2010, 2011, when you talk to a financial services firm, Cloud, no, that's an evil word, now everybody's Cloud first. George Kurts talks about how, I mean essentially CrowdStrike is dogmatic. We are Cloud native. We have a Cloud native architecture. I know Gartner has this term CNAP or Cloud native application platform. So what does the Cloud mean to you guys? How does it fit in? What does Cloud native architecture do for you? >> It lets us converge everything we've been talking about. How do we, you know, that's a really big struggle that all security teams are having at, having today. How do I converge threat intelligence? How do I converge the environment that I'm in? How do I converge the threat intel that's coming in, right? All this, you're getting, security teams are constantly on a swivel, right? They're looking left, they're looking right. They're trying to identify what to do first. And you bring in the right partners. >> Yes. >> And you get in, you build the right program. You cement that culture internally. And it really provides dividends. >> You know what I think as well, Dave, is in the past, everyone was more data center based. >> Right. >> The Cloud was like a thing we'd forklift, we'd move over, we were born in the Cloud. So Cloud native Application protection is something that we need and will drive innovation. Will align with our strategic initiatives. We need people to think like the Cloud is what's happening. Super Cloud, some of the things that we spoke about. >> Yeah, so I was at, when we were at reinforced, I had this new mental model emerge, and it sort of hit me in the face. And you tell me, I'd love to talk to practitioners to say, yeah, that makes sense or, no, that's crap. So it seems like the Cloud has become the first line of defense for CISOs. Now you're Cloud first or Cloud native, so, okay. But then now you've got the shared responsibility model. And I don't know if you use multiple Clouds. Do you use multiple Clouds? >> We cannot say. >> Cannot say, okay, let's assume for a second, your, some of your colleagues, CISO colleagues, use multiple Clouds. >> They should, okay, sure. >> Now they've got multiple shared responsibility models. Now you've got also the application development team. They're being asked to be the pivot point to actually execute, they got to secure the platform. They got to secure the containers, their run time. >> Workloads, yes. >> And then you got audit behind you is kind of the last line of defense. So things are shifting. Describe sort of the organizational dynamic that you see, not necessarily specific to Mercury Financial, or that would be cool, but generally in the industry. >> Oh, I would say, I could say this, that having Cloud, multitenancy Cloud or the super Cloud model where we could abstract our services our protection, the different levels of security tooling, being able to abstract and speak a common language where you could run in Azure, GCP or AWS, and still have a common language that you can interpret and leverage between all the tooling would be something I would love to see. >> That's Super Cloud >> A magical, that is that. >> That is a Cloud interpreter essentially. >> I think we use different words, but yes. >> A PAs layer, super PAs layer, sorry to take it too far. >> Yeah, like, I want to be able to abstract it and speak a language that would work in any of the- >> What does that do for you as a technology practitioner? >> Well, imagine if you had to speak three different languages with three different people, get lost in translation. If we could speak a common language across all the different platforms and all the different footprints, it would be easier to define our security posture. Where are we? Are we secure? You might say security groups in AWS, it might be, mean something else, but it's still a level of protection that surrounds the end point, right? Something that would abstract that level would be very fun. Very good for me. >> It's, you know, it's pretty easy to understand your use case for this. When you're talking about here we are, Mercury Financial, you have the most sensitive financial information about people, right? >> Right, absolutely. >> A data breach where all of the information about your customers getting out there on the dark web. Right? Heart attack time. >> Instantly. >> What are some things that people might not think about though, that are going on in your world? What would surprise someone who maybe isn't a security specialist in terms of the things that you're dealing with as far as threats are concerned? >> I'm going to leave that on you. >> Can you think of some examples of things that you could, you know, obviously generic examples. >> Right. >> Yes. >> I'm going to point to the number one and two most common ways that applications and businesses are getting owned right now. And that's misconfigurations on your web app or a vulnerable application or phishing. And those are both very important things, right? A lot of development teams, they want to get things to market as soon as possible. And maybe security's on the back foot. It's about building that culture and to, you know, being Cloud native helps you have a, you can provide different tool sets to your organization that helps you understand that posture and makes you help those business decisions. Are we in a good posture to go forward right now? That's a big question that I think most security organizations need to ask themselves and the need to hold other stakeholders accountable. >> So phishing and the concept of social engineering, still alive and well? >> Oh, goodness. >> Always. >> Everything starts with people. The human firewall has to be front of mind. Security can't be an afterthought or a bolt on, that's something that you think about, well, I guess if I have to meet our compliance, it doesn't work with us. >> Comes back to the culture that you're actually talking about before. >> 100%, yeah, cyber resiliency starts with cyber culture. >> Kevin Mandy has said it today. I, never underestimate the adversary. The adversary- >> Of course. >> Is highly capable, motivated, big ROI and it just keeps getting bigger. The more technology gets embedded into our lives. The more lucrative hacking becomes. >> And more attack vectors. We have more areas that we could be potentially penetrated. >> They have a lot of time. Those threat actors have a lot of time. >> They do have a lot of time, yeah. >> Right. >> Right and to your point, you're constantly on the swivel. Right, you don't have time. >> Right. >> No, we don't. >> So do your responsibilities touch on things like fraud detection as well? >> Yeah, oh, that- >> Is that a silly question? I'm thinking- >> Yeah, no, it really is, so- >> No, not at all. >> Or there isn't segregation between what we would think of as IT and the credit card transaction that fires up a red flag. >> Those are integrated. >> It's definitely important. And in any business, right? Is to, like I mentioned, I use this word a lot converge, right? It's converging that intel, that fraud intelligence and making it into a process where we're reducing the risk and the losses that the business is incurring. >> Yes. >> It's so important, right? That we build that culture within the fraud teams, the operational teams, the, you know really anybody who has a really large stake in whatever the business product is. And, you know, being Cloud native, bringing in the right partners, building that security culture. I mean, that's the biggest one. >> Yeah, we've flown. >> It's last and definitely not least, it is, the culture's where you need to be. >> Absolutely. >> You know, you guys, I'm sure, you know, work with a lot of different vendors, a lot of tools, or sometimes the tools are point tools, they're best to breed. CrowdStrike says it wants to be a generational company. >> Oh, yeah. >> It says this notion of an unstoppable breach is a myth. You guys can't live that way. You have to assume you're going to breach but can CrowdStrike be a generational company? >> I think they've proven themselves. They've been around over a decade now. it's 11 years. They just had their birthday yesterday, right? >> Yeah. >> Or anniversary, the company started? >> Yeah. 11 years, yeah. >> I absolutely, and I also agree to add it a little bit part, from the fraud part. I think CrowdStrike would be an integral piece of the overall solution that we have. It hits so many different aspects and looks at so many different potential attack vectors. I keep using that word, but I think integrating fraud in other parts and other functions of the business will start to see that they can leverage CrowdStrike. That there's tooling within CrowdStrike innovatively, like ahead of the game. And I always like that about CrowdStrike, being way ahead of the game and thinking in front of our adversaries. I think other departments will be like, what tools do you have, how can we use them? This is fantastic, this makes us feel better. We don't have to worry about that. We can focus in on what we're good at and build that best of breed solution. So fraud can focus on fraud and you can leverage the tooling and the infrastructure that we provide them together holistically to build a security program that's beyond reproach. >> Guys, we got to go, great perspectives. Always love having the practitioners on. >> Yeah, thank you. >> I really appreciate your time, thank you. >> Yeah, absolutely, always a pleasure. Thank you so much for your time. >> Anthony, Alex, Dave and Dave will be right back, right after this short break. You're watching theCUBE from Fal.Con 2022 from the ARIA in Las Vegas. >> Cheers my friend. >> Yeah, of course. (cheerful music)
SUMMARY :
We're here at the ARIA hotel in Las Vegas. Thank you for the opportunity to speak. What are you guys all about? We give 'em the opportunity is huge because you know, You know, that's just not right. You got to give people another chance. Did you guys see the keynote? So in the keynote, the, going to ask you what XDR is. And, you know, I think as a CISO bit about how you do that. it isn't one box that you check. We all have something that we need more time to get the work done, all the time, that we just Do you want to take this one? I mean, we leverage CrowdStrike that the business wants to market, right? that we have this like, so that we can remediate it, rectify it. It's getting everyone to buy into that. and it's really the best Dave, I think that that early in the week still, What would you say would be the next, across the spectrum, you know, from DevOps That is the tooling that we and you look around, you going to grow a lot more. And we heard, you know, to come in and say, you but you're serving it. salt, salt is the key. We're just working the So what does the Cloud mean to you guys? How do I converge the threat And you get in, is in the past, everyone is something that we need and it sort of hit me in the face. some of your colleagues, CISO colleagues, They got to secure the dynamic that you see, that you can interpret and leverage That is a Cloud I think we use layer, sorry to take it too far. that surrounds the end point, right? It's, you know, it's all of the information of things that you could, you know, and the need to hold other that's something that you think about, Comes back to the starts with cyber culture. The adversary- and it just keeps getting bigger. We have more areas that we They have a lot of time. They do have a lot of time, Right and to your point, and the credit card transaction and the losses that the the operational teams, the, you know it is, the culture's where you need to be. You know, you guys, I'm sure, you know, You have to assume you're going to breach I think they've proven themselves. of the overall solution that we have. Always love having the practitioners on. I really appreciate Thank you so much for your time. the ARIA in Las Vegas. Yeah, of course.
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Zia Yusuf, VMware | VMware Explore 2022
(lively music) >> Welcome back everyone to theCUBE's live coverage in San Francisco for VMware Explorer 22 formerly VMworld, Dave 12 years we've been covering VMware's annual conference. Going next level explores bigger theme, Multi-cloud another inflection point for VMware. And again at the center of it is the partners Zia Yusuf is here senior vice president strategic ecosystem and industry solutions. You're the, you're, you got the keys to the kingdom for VMware, welcome to theCube. >> It's a pleasure, I mean, you guys are a legend here. This is my first time here. So, it's a pleasure and excited to chat with you. >> Well, great to have you, every single year, since 2010 we've always had great commentary and discussion and sometimes contentious discussion around the role of partners. Visa V, VMware's value proposition, VMware dominant and the enterprise data center, everyone knows that. Dominant and hybrid was first there, everyone knows that. Now going to the next level, the customer stay, they stay with VMware, they don't really leave. They still got a great loyal base but now the enterprise is going NextGen cloud native. The partners are energized with the conversations we're hearing is huge. There's changes of roles is clarity on value proposition. Monetization is hoppin'. It's great stuff, what's going on? You're new, but you have a view of this before. Take us through your what's going on in the partner network, what's the state of the union? >> Yeah, I think, thanks for the question. I think maybe just step back a second right, the word partners is a big word. It covers all kinds of things. VMware has had a rich history of partnerships you know, mostly technology related partnerships. So much of our products depend on other partners, OEM partners, and so on. We've also had a rich history of our channel. So, as you look at different channel partners as you look at going through different parts of the segment SMB and so on, in a cloud context, based on what's happening we needed to take an integrated ecosystem approach. That's the word I use, right. And for me it's, it's a little bit like a spider's web. Like no single strand in the web is that strong but when you put it together thoughtfully in a very deliberate way. That's what an integrated ecosystem strategy. And so we've got our VCP partners, longstanding history that machine continues. We've got our channel partners and OEM partners that machinery continues obviously Dell strategic partner, significant business. The parts of the puzzle that I've been focusing on is five other different pieces. So first of course, is our hyper scale partnerships long history with AWS, very successful history. We have GCVE with GCP. We announced, I think three, four months ago that GCP was joining our VMware cloud universal and a big announcement yesterday about Microsoft doing the same. And hopefully we extend that. So, as we work with this hyper scaler six or seven of these partners, it's a, as you can imagine kind of a multidimensional chess game, if you will a little bit competitive mostly cooperative and stuff, right. The GSI is very exciting piece of it. The essentials that Deloitte, Deloitte announced a new business unit on VMware, ACL did the same. That energy level has really gone up. You see it at the show here as well. We recognize that these significant SI's play a huge role in the decision making process with customers. And we want to enable them to build significant VMware businesses. It's a different game from that perspective. Last thing I'm point out is, industry and verticals. Right I mean, this is not being necessarily an area because of the layer of the stack we've been in. Obviously Telco is an end to end business unit for us. We have products, we have a go to market on Telco, public sector to some degree because you need all these three letter agencies and the security and compliance. But as you look at financial services as you look at retail, as you look at healthcare we need to be aware of the workload we need especially on modern apps, especially on the edge. So we kind of doubling down on some of our vertical capabilities. So, all of those things are connected as well, right. The SI to the hyper scale partners in a vertical context. >> What's the biggest change that you've seen? Because we've observed some partners are leaning out as they change their business. And VMware has got new partners coming in, leaning in. So you got mentioned, Dave mentioned Telco and you got new use cases with edge and multi-cloud so you know, some people kind of maybe age out or change their strategy, some double down the core partner network, and then new ones come in. What's been the biggest change, if you can look at that holistically? >> Yeah, it's a great question, right? Because it's so multidimensional and there is no such thing as a GSI global system because they build products. Sometimes they act as a reseller, they're a solution provider. Also they provide services. So as their business model changes, we have to adjust how we engage with them. We can't put them in nice clean buckets. And that's what I'm doing with my colleagues here is how do we really enable them? And one of the things, I mean, I've done this type of stuff, I was at SAP for many years. We need to figure out how do we make them successful? Not just, this is what VMware wants you to do. We need to understand their business model and how do we fit into that? 'Cause if they grow, then we grow with that. And that is honestly a little, it's a subtle point, but it's a little bit of a nuanced. >> Yeah, it's very nuanced, but you have to nail that. You got to overlay. >> 100% >> The strategy where the enablement is technically or product wise, economics and conflict. (John laughing) >> And profitably, if they're profitably is important to us it's not just their growth. >> So Zia, I want to test the premise on you, something, John and I have been working on this notion of super cloud. And we did an event earlier this month, but one of the aspects that's kind of nuance and futuristic is if I'm a, let's say a financial services company and I'm going through a digital transformation I would be looking strategically at what, say Amazon did taking it's internal IT and then pointing at the world. I would say, I have data. I have tools, I have software, I have expertise that's really unique and could be value add. And I would be thinking, how do I monetize that, create my own cloud. And I'm actually just going to throw it into a public cloud to do that. I've got mainframes running, I've got Oracle stuff on Prem. I'm not going to shift that stuff into the cloud and maybe some of it, but I've got transaction systems and proprietary data. And a lot of it is running on VMware and I've got cloud stuff too. I would be looking at, okay, how do I build my own cloud and put my data, my tooling, my software in front of a new ecosystem, my own ecosystem that I can you know monetize. Are you seeing- >> Without spending the CapEx. >> Yeah, without having to build data centers? Right, exactly. I want to take advantage of the gift that the hyper scalers are given. Are you seeing any activity bubbling up in that regard? >> It's a really, it's a really interesting question. And I think the terminology that we've used around cloud smart kind of goes into that. So let me take what you said. >> Okay please, yeah. >> And frame it in a slightly different way. You can standardize on public clouds and everybody's using the same thing. You're using the same services, and so on. Theoretically that could lose some of your differentiation. Right, I mean, especially for financial services companies that have built so much of their you know, trading test down to the milli, milli, millisecond and how do they do that, and so on. So, I think you have something there right. So, as they look at their technology and software strategy, yes there's cost reduction aspects of it. There's refactoring aspects of it that hygiene that needs to be done as Rughu talked about from this cloud chaos to cloud smart, if you will but then how do you differentiate on the business processes? How do you differentiate that then down into the workloads? And I think that's where to use an old term. It takes a village, right, you've got the system integrator that's providing this stuff. You've got other strategy firms like the BCGs and McKinseys of the world that have huge influence now. Then you've got technology players that are coming into that. And I think the cloud smart approach is to do exactly what you're saying. It's not just the refactoring, it's not just movement to the cloud. How do you retain your competitive edge from the processes the models, the thinking that you've built up over many years. So, I don't know if it's super cloud or what that means, but that at the end of the day, this is about business processes. At the end of the day, this is about having a competitive edge in the market and I think you could do it. >> It's industry cloud, right? >> It's, that's a good way to put it. >> Yeah. >> I think Industry cloud is a good way. >> Why is there security cloud, Why isn't there an insurance cloud? Why's there a FinTech cloud? So I mean if you look at Goldman Sachs capital one. >> Right. >> There, CapEx is handled by AWS. Snowflake built their entire business on AWS. Didn't spend the dime on CapEx. Well, they spent a lot of operating expense for that CapEx and the fees, but still they became successful. And then the rest is history. So, I think people are seeing this idea of I'll ride that back on the CapEx of the hyper scalers and then use the tooling from the partner network and what's available. To then, cobble together in an architectural engineered way, distributed computing way, a new way to do things. Okay, so if you believe that, which we do, then you say, oh, it's on the balance sheet. So, what we've been hearing from companies is like, "Hey it's going to be on the balance sheet", I better have an income statement impact on the top line. So, you start to see behavior change at the customers not IT powering the business and the back office and terminals and some app. >> Crosscutting. >> It's like, no, no, no this is a digital business. So, the integration of balance sheet income statement on the economics is driving a lot of the behavior at the customers. So we see customers thinking this way and it's like we've never seen this level of business model refactoring as well as partner vendor selection, product technology mix at the same time. >> And VMware. >> At this level. >> Need the connective tissue between the hyper scalers in the ecosystem and actually provide those cross cloud connections. >> Yeah. >> You know, to the extent there's a business case there, that's what we're trying to of squint through. Is it going to be hybrid with on-prem in one cloud or is there an advantage of going cross clouds beyond just avoiding lock in you know, to take advantage of global infrastructure? >> So and then the next question is the Tam then bigger which means the partners are better? >> Yeah right. >> Participate in that. >> Yeah, I think, and we look at economics of this, right? I mean, there's a huge emphasis on cost, right. Cost, and I completely get that. I think, as I've talked to customers both now that I'm here but before advising a range of companies the innovation process, the time to impact is equally important all right as you compete. There's no point in just getting your cost down. If you're then getting beaten up in the market and you're not able to differentiate with new digital services. And this is where call it super cloud, call it industry cloud. We need to connect up to the business processes and the business impact and not just in my view the cost infrastructure piece of it. >> Yeah. And that we can't do on our own, we're not an apps company. So we're, you're not SAP, we're not Oracle, but we need to work with those players to make sure that their workloads are optimized in the right cloud in the right configuration. And that is a job to be done as opposed to just let's take it to town. >> And there's clearly a technology business case, especially if we're working with companies like VMware who's going to help me you know, simplify. >> Right. >> My move to the multi-cloud but there's also a business and economic impact in that. Even if it's not, if it could be simple as if I partner with Microsoft I'm going to do more business right if I'm one of these industry clouds. So I see that as another potential tailwind, it's really, it's like when Dreesen says all your companies are software companies, to me all companies are cloud companies, now increasingly. >> Look the difference between cloud and apps and then stuff, I mean like. >> Yeah, it's all. >> It's like you know there's used to be infrastructure and then apps company and so on. We need to deliver with our ecosystem partners and integrated solution and solution with a big S not just the technology solution but the broader, I mean look at the change management. >> Yeah, yeah. >> We talked about culture, I mean, if you don't get that piece right and the change management piece. >> Everything, yeah. >> You know the rest of it is history. >> Well and it's got to be delivered as a service, >> It has to be. >> Which is huge implications as to how you deal with change management. >> And this goes back to my kind of first comment is I really try and think of this by architecting the ecosystem. I don't like the word alliances. Right I mean, let's say kind of a one to one relationship. You know, let's do an agreement, let's go have dinner, but architecting the ecosystem the spiders web, who are the different players how can we compliment each other? And if it, Deloitte and a Microsoft want to do amazing business together related to VMware technology I want to encourage that. And so those third party Connections. >> You guys your contextualizing the ecosystem, basically. And I think from a customers standpoint that's a benefit to them, in my opinion in fact, Dave, remember at our supercloud.world event URL supercloud.world is the plug for the site. They can check it out. One of the comments from the cloudarati panel was we had a title this session called the innovators dilemma you know question mark you know . >> Best book ever written. >> Yeah, yeah. And so the, one of the panels said, it shouldn't be, we should change it to the integrators dilemma because what's happening is that integration is now standard table stakes and, but integrating the right things now matters, right? So, integration for integration sake isn't necessarily the end game anymore. >> And this is where. >> And this kind of where you're getting at with the spider's web is that integrating properly is a solution mindset. >> And look, I'm integrating also, you know have to bring in data from that perspective. Right, at the end of the day data being the new oil, if you will, the integration allows that data to flow to the right place at the right time to make the right decision. Now, we are not doing all of those pieces but we are certainly enabling that. And as you especially start looking at what we can do on the edge and what we can do in a retail store and a factory and so on those kinds of things come together. >> Okay, Zia take some time. We got a couple minutes left, only two minutes left, I want you to get some commentary directly to the audience around what specifically you're doubling down on. That's new that you're investing in on the partner network or your partner strategy. What is a steady state that's being nurtured and farmed or whatever word you want to use, but here's our core thing. Here's the area of improvement we're going to be in you know, cranking the handle on take us through that. >> Sure. >> I know you got OAM, got telco, got new things going on. >> Yeah so, maybe a couple of things right. >> lay it all out. >> First of all it has to be linked to VMware strategy. So as we transition on this journey to subscription saas ARR, we need to bring our ecosystem along to do that. That has business model implications that has implications on how we engage with them, how we define success how we value things. So that's an important journey. Secondly, is we need to do a better job of enabling our partners. Right, I mean, we have our partner connected. We do a pretty good job on the channel side. We need to do a better job on the GSIs is really understanding their business model, how they're engaging with their customers and provide them the technology the support, the financial resources, so that they can be successful. That's very important. Third is, to connect the dots on the ecosystem, right? I mean it's a, I've spent a lot of time in this event as well in joint meetings between system integrators and hyper scalers with our technology colleagues on Intel or NetApp or AMD. And these are companies that we have a rich history with. We're trying to connect, because that's how customers look at it. So, connecting the dots between the ecosystem super important to us, and then look, there's a change management journey within VMware. We also need to understand how we can engage with partners in a more productive, effective way. How do we scale this up? I believe, I think our leadership in Raghu and Sumit we are not going to succeed unless we have a profitable, engaged, passionate ecosystem around. >> Yeah I mean, they got to make money. They got to. >> Exactly. >> Be successful, have successful customers, their end customers your customers. Well, all good, question of where you're investing the most right now. If you had to put a kind of the pie chart together, I mean some of it's steady state like it's a machine, some of it's new like Telco for instance I mean here's. >> I think again, rich history on the channel side, we continue to invest there. Very valuable to go do that. I think some of these newer areas around the system integrators, especially the large ones, the Whipple's the HCLs, Deloittes essentials of the world, very important. The hyper scaler relationships directly leads into ARR. You saw the VMC cloud Universal will continue. >> We have Google on great props from Google. >> Yeah, We love it you guys. >> Yeah, and so look, I think we are not multi-cloud unless we go do this. Right I mean, Raghuram made a joke about this. We were single cloud and now we're multi-cloud, we want our customers to be able to procure these integrated solutions through VMware and our hyper scaler partners will continue to do that's when multi-cloud really become. And so the GTM motion, the discounting the commission structure all of that machinery is an important radio for me. >> Zia thank you so much for coming on theCube. I know you've been super busy. You got to go out and hit all the partners say hello, compressing you know, got to hit the pavement, say hello to everyone. >> It's been fantastic, the partners have too many, too many parties and so. (Interviewers laughing) But that's a fun part of my job, but appreciate your time. >> You got good stamina. >> Thanks Zia. >> So you got to have that in this game. Not about the faint of heart here at VMware. Zia thank you for coming on. >> Of course. >> This is the cube coverage, back after lunch. After the short break day two of three days of live coverage here in Moscone West on the street floor level of the event I'm John Furrier with Dave Alante. We'll be right back. (lively music)
SUMMARY :
got the keys to the kingdom excited to chat with you. and the enterprise data because of the layer of the core partner network, And one of the things, I mean, You got to overlay. enablement is technically if they're profitably is important to us that stuff into the cloud the CapEx. that the hyper scalers are given. So let me take what you said. but that at the end of the day, that's a good way to put it. I think Industry cloud So I mean if you look at of I'll ride that back on the a lot of the behavior at the customers. between the hyper scalers in the ecosystem You know, to the extent the innovation process, the time to impact And that is a job to be done help me you know, simplify. My move to the multi-cloud Look the difference but the broader, I mean look and the change management piece. as to how you deal with change management. I don't like the word alliances. the innovators dilemma you but integrating the right is that integrating properly Right, at the end of the on the partner network I know you got OAM, a couple of things right. on the channel side. Yeah I mean, they got to make money. of the pie chart together, history on the channel side, We have Google on And so the GTM motion, the discounting You got to go out and hit all the partners the partners have too many, Not about the faint of on the street floor level of the event
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Rajiv Ramaswami, Nutanix | Supercloud22
[digital Music] >> Okay, welcome back to "theCUBE," Supercloud 22. I'm John Furrier, host of "theCUBE." We got a very special distinguished CUBE alumni here, Rajiv Ramaswami, CEO of Nutanix. Great to see you. Thanks for coming by the show. >> Good to be here, John. >> We've had many conversations in the past about what you guys have done. Again, the perfect storm is coming, innovation. You guys are in an interesting position and the Supercloud kind of points this out. We've been discussing about how multi-cloud is coming. Everyone has multiple clouds, but there's real structural change happening right now in customers. Now there's been change that's happened, cloud computing, cloud operations, developers are doing great, but now something magical's happening in the industry. We wanted to get your thoughts on that, that's called Supercloud. >> Indeed. >> How do you see this shift? I mean, devs are doing great. Ops and security are trying to get cloud native. What's happening in your opinion? >> Yeah, in fact, we've been talking about something very, very similar. I like the term supercloud. We've been calling it hybrid multicloud essentially, but the point being, companies are running their applications and managing their data. This is lifeblood for them. And where do they sit? Of course, some of these will sit in the public cloud. Some of these are going to sit inside their data centers and some of these applications increasingly are going to run in edges. And now what most companies struggle with is every cloud is different, their on-prem is different, their edge is different and they then have a scarcity of staff. Operating models are different. Security is different. Everything about it is different. So to your point, people are using multiple clouds and multiple locations. But you need to think about cloud as an operating model and what the supercloud or hyper multicloud delivers is really a consistent model, consistent operating model. One way for IT teams to operate across all of these environments and deliver an agile infrastructure as a service model to their developers. So that from a company's managed point of view, they can run their stuff wherever they want to, completely with consistency, and the IT teams can help support that easily. >> You know, it's interesting. You see a lot of transformation, certainly from customers, they were paying a lot of operating costs for IT. Now CapEx is covered by, I mean, CapEx now is covered by the cloud, so it's OpEx. They're getting core competencies and they're becoming very fluent in cloud technologies. And at the same time the vendors are saying, "Hey, you know, buy our stuff." And so you have the change over, how people relate to each other, vendors and customers, where there's a shared model where, okay, you got use cases for the cloud and use cases on-premise, both CapEx, both technology. You mentioned that operating model, Where's the gap? 'Cause nobody wants complexity, and you know, the enterprise, people love to add, solve complexity with more complexity. >> That's exactly the problem. You just hit the nail on the head, which is enterprise software tends to be very complex. And fundamentally complexity has been a friend for vendors, but the point being, it's not a friend for a company that's trying to manage their IT infrastructure. It's an an enemy because complexity means you need to train your staff, you need very specialized teams, and guess what? Talent is perhaps the most scarce thing out there, right? People talk about, you know, in IT, they always talk about people, process, technology. There's plenty of technology out there, but right now there's a big scarcity of people, and I think that talent is a major issue. And not only that, you know, it's not that we have as many specialized people who know storage, who know compute, who know networking. Instead, what you're getting is a bunch of new college grads coming in, who have generalized skill sets, who are used to having a consumer like experience with their experience with software and applications, and they want to see that from their enterprise software vendors. >> You know, it's just so you mentioned that when the hyper converged, we saw that movie that was bringing things together. Now you're seeing the commoditization of compute storage and networking, but yet the advancement of higher level services and things like Kubernetes for orchestration, that's an operating opportunity for people to get more orchestration, but that's a trade off. So we're seeing a new trend in the supercloud where it's not all Kubernetes all the time. It's not all AWS all the time. It's the new architecture, where there's trade offs. How do you see some of these key trade offs? I know you talked to a lot of your customers, they're kind of bringing things together, putting things together, kind of a day zero mentality. What are some of those key trade offs and architectural decision points? >> So there's a couple of points there, I think. First is that most customers are on a journey of thoughts and their journey is, well, they want to have a modern infrastructure. Many of them have on-prem footprints, and they're looking to modernize that infrastructure. They're looking to adopt cloud operating models. They're looking to figure out how they can extend and leverage these public clouds appropriately. The problem is when they start doing this, they find that everything is different. Every little piece, every cloud is different, their on-prem is different, and this results in a lot of complexity. In some ways, we at Nutanix solved this problem within data centers by converging separate silos of high computer storage and network. That's what we did with HCI. And now this notion of supercloud is just simply about converging different clouds and different data. >> Kind of the same thing. >> And on-prem and edges, right? Trying to bring all of these together rather than having separate teams, separate processes, separate technologies for every one of these, try to create consistency, and it makes life a lot simpler and easier. >> Yeah, I wanted to connect those dots because I think this is kind of interesting with the supercloud was, you get good at something in one cloud, then you bring that best practice and figure out how to make that work across edge and on-premise, which is, I mean, basically cloud operations. >> Exactly. It's cloud operations, which is why we say it's a cloud is an operating model. It's a way you operate your environment, but that environment could be anywhere. You're not restricted to it being in the public cloud. It's in your data center, that's in the edges. >> Okay, so when I hear about substrates, abstraction layers, I think two things, innovation cause you extract away complexity, then I also think about from the customer's perspective, maybe, lock-in. >> Yes. >> Whoa, oh, promises, promises. Lock in is a fear and ops teams and security teams, they know the downside of lock-in. >> Yes. >> Choice is obviously important. Devs don't care. I mean, like, whatever runs the software, go faster, but ops and security teams, they want choice, but they want functionality. So, what's that trade off? Talk about this lock-in dynamic, and how to get around. >> Yeah. >> And I think that's been some of the fundamental tenants of what we do. I mean, of course, people don't like lock-in, but they also want simplicity. And we provide both. Our philosophy is we want to make things as simple as possible. And that's one of the big differentiators that we have compared to other players. Our whole mission inside the company is to make things simple. But at the same time, we also want to provide customers with that flexibility and every layer in the stack, you don't want to lock to your point. So, if at the very bottom hardware, choice of hardware. Choice of hardware could be any of the vendors you work with or public cloud, Bare Metal. When you look at hypervisor, lots of choices. You got VMware, you got our own Ahv, which is KBM-based open source hypervisor, no lock-in there, provide complete flexibility. Then we have a storage stack, a distributor storage stack, which we provide. And then of course layers about that. Kubernetes, pick your Kubernetes, runtime of choice. Pick your Kubernetes, orchestrator and management of choice. So our whole goal is to provide that flexibility at every layer in the stack, allowing the customer to make the choice. They can decide how much they want to go with the full stack or how much they want to go piecemeal it, and there's a trade off there. And they get more flexibility, but at the cost of a little bit more complexity, and that, I think, is the trade off that each customer has to weigh. >> Okay, you guys have been transforming for many, many years. We've been covering on SiliconANGLE and theCUBE to software. >> Yes. >> I know you have hardware as well, but also software services. And you've been on the cloud bandwagon years ago, and now you made a lot of progress. What's the current strategy for you guys? How do you fit in? 'Cause public cloud has great use cases, great examples of success there, but that's not the only game in town. You've got on-premise and edge. What are you guys doing? What specifically are customers leaning on you for? How are you providing that value? What's the innovation strategy? >> Very simply, we provide a cloud software platform today. We don't actually sell anymore hardware. They're not on our books anymore. We're a pure software company. So we sell a cloud soft platform on top of which our customers can run all their applications, including the most mission critical applications. And they can use our platform wherever, to your point, on the supercloud. I keep coming back to that. We started out with our on-prem genes. That's where we started. We've extended that to Azure and AWS. And we are extending, of course, we've always been very strong when it came to the edge and extending that out to the edge. And so today we have a cloud platform that allows our customers to run these apps, whatever the apps may be, and manage all their data because we provide structured and unstructured data, blocks, files, objects, are all part of the platform. And we provide that in a consistent way across all of these locations, and we deliver the cloud operating model. >> So on the hardware thing, you guys don't have hardware anymore. >> We don't sell hardware anymore. We work with a whole range of hardware partners, HP, Dell, Supermicro, name it, Lenovo. >> Okay, so if I'm like a Telco and I want to build a data center at my tower, which could be only a few boxes, who do I buy that from? >> So you buy the software from us and you can buy the hardware from your choice of hardware partners. >> So yeah, whoever's selling the servers at that point. >> Yeah. >> Okay, so you send on the server. >> Yeah, we send on the server. >> Yeah, sound's good. So no hardware, so back to software that could transfer. How's that going, good? >> It's gone very well because, you know, we made two transformations. One is of course we were selling appliances when we started out, and then we started selling software, and now it's all fully subscription. So we're 100% subscription company. So our customers are buying subscriptions. They have the flexibility to get whatever duration they want. Again, to your philosophy, there's no lock-in. There is no long term lock-in here. We are happy if a customer chooses us for a year versus three years, whatever they like. >> I know that you've been on the road with customers this summer. It's been great to get out and see people in person. What are you learning? What are they viewing? What's their new Instagram picture of Nutanix? How do they see you? And how do you want them to see you? >> What they've seen us in the past has been, we created this whole category of HCI, Hyperconverged Infrastructure. They see us as a leader there and they see us as running some of their applications, not necessarily all their applications, especially at the very big customers. In the smaller customers, they run everything on us, but in the bigger customers, they run some workload, some applications on us. And now what they see is that we are now, if taking them on the journey, not only to run all their applications, whatever, they may be, including the most mission critical database workloads or analytics workloads on our platform, but also help them extend that journey into the public cloud. And so that's the journey we are on, modernized infrastructure. And this is what most of our customers are on. Modernizing the infrastructure, which we help and then creating a cloud operating model, and making that available everywhere. >> Yeah, and I think one, that's a great, and again, that's a great segue to supercloud, which I want to get your thoughts on because AWS, for example, spent all that CapEx, they're called the hyperscaler. They got H in there and that's a hyperscale in there. And now you can leverage that CapEx by bringing Nutanix in, you're a hyperscale-like solution on-premise and edge. So you take advantage of both. >> Absolutely. >> The success. >> Exactly. >> And a trajectory of cloud, so your customers, if I get this right, have all the economies of scale of cloud, plus the benefits of the HCI software kind of vibe. >> Absolutely. And I'll give you some examples how this plays out in the real world based on all my travels here. >> Yeah, please do. So we just put out a case study on a customer called FSP. They're a betting company, online betting company based out of the UK. And they run on our platform on-prem, but what they saw was they had to expand their operations to Asia and they went to Taiwan. And the problem for them was, they were told they had to get in business in Taiwan within a matter of a month, and they didn't know how to do it. And then they realized that they could just take the exact same software that they were running on our platform, and run it in an AWS region sitting in Taiwan. And they were up in business in less than a month, and they had now operations ready to go in Asia. I mean, that's a compelling business value. >> That's agile, that's agile. >> Agile. >> That's agile and a great... >> Versus the alternative would be weeks, months. >> Months, first of all, I mean, just think about, they have to open a data center, which probably takes them, they have to buy the hardware, which, you know, with supply chain deliveries, >> Supply chain. and God knows how long that takes. >> Oh God, yeah. >> So compared to all that here, they were up and running within a matter of a month. It's a, just one example of a very compelling value proposition. >> So you feel good about where you guys are right now relative to these big waves coming? >> Yeah, I think so. Well, I mean, you know, there's a lot of big waves coming and. >> What are the biggest ones that you see? >> Well, I mean, I think there's clearly one of the big ones, of course, out there is Broadcom buying VMware or potentially buying VMware and great company. I used to work there for many years and I have a lot of respect for what VMware has done for the industry in terms of virtualization of servers and creating their entire portfolio. >> Is it true you're hiring a lot of VMware folks? >> Yes, I mean a lot of them coming over now in anticipation, we've been hiring our fair share, but they're going other places too. >> A lot of VMware alumni at Nutanix now. >> Yes, there are certainly, we have our share of VMware alumni. We also have a share of alumni from others. >> We call the V mafia, by the way. (laughs) >> I dunno about the V mafia, but. But it's a great company, but I think right now a lot of customers are wondering what's going to happen, and therefore, they are looking at potentially what are the other alternatives? And we are very much front and center in that discussions. >> Well, Dave Alante and I, and the team have been very bullish on on-premise cloud operations. You guys are doing there. How would you describe the supercloud concept to a customer when they say, "Hey, what's the supercloud? "It's becoming a thing. "How would you describe what it is and the benefits?" >> Yeah, and I think the first thing is to tell them, what problem are you looking to solve? And the problem for them is, they have applications everywhere. They have data everywhere. How do their teams run and deal with all of this? And what they find is the way they're doing it today is different operating platform for every one of these. If you're on Amazon, it's one platform. If you're an Azure, it's another. If you're on-prim, it's a third. If you want to go to the edge, probably fourth, and it's a messy, complex thing for their IT teams. What a supercloud does is essentially unify all of these into a consistent operating model. You get a cloud operating model, you get the agility and the benefits, but with one way of handling your compute storage network needs, one way of handling your security policies, and security constructs, and giving you that, so such a dramatic simplification on the one side, and it's a dramatic enabler because it now enables you to run these applications wherever you want completely free. >> Yeah. It really bridges the cloud native. It kind of the interplay on the cloud between SAS and IAS, solves a lot of problems, highly integrated, that takes that model to the complexity of multiple environments. >> Exactly. >> That's a super cool environment. >> (John speaks over Rajiv) Across any environment, wherever. It's changing this thing from cloud being associated with the public cloud to cloud being available everywhere in a consistent way. >> And that's essentially the goodness of cloud, going everywhere. >> Yeah. >> Yeah, but that extension is what you call a supercloud. >> Rajiv, thank you so much for your time. I know you're super valuable, and you got a company to run. One final question for you. The edge is exploding. >> Yes. >> It's super dynamic. We kind of all know it's there. The industrial edge. You got the IOT edge and just the edge in general. On-premise, I think, is hybrid, it's the steady state, looking good. Everything's good. It's getting better, of course, things with cloud native and all that good stuff. What's your view of the edge? It's super dynamic, a lot of shifting, OT, IT, that's actually transformed. >> Yes, absolutely. >> Huge industrial thing. Amazon is buying, you know, industrial robots now. >> Yes. >> Space is around the corner, a lot of industrial advance with machine learning and the software side of things, so the edge is exploding. >> Yeah, you know, and I think one of the interesting things about that exploding edge is that it tends to be both compute and data heavy. It's not this notion of very thin edges. Yes, you've got thin edges too, of course, which may just be sensors on the one hand, but you're seeing an increased need for compute and storage at the edges, because a lot of these are crunching, crunching applications that require a crunch and generate a lot of data, crunch a lot of data. There's latency requirements that require you and there's even people deploying GPUs at the edges for image recognition and so forth, right? So this is. >> The edge is the data center now. >> Exactly. Think of the edge starting to look at the edge of the mini data center, but one that needs to be highly automated. You're not going to be able to put people at every one of these locations. You've got to be able to do all your services, lifecycle management, everything completely remove. >> Self-healing, all this good stuffs. >> Exactly. It has to be completely automated and self-healing and upgradeable and you know, life cycle managed from the cloud, so to speak. And so there's going to be this interlinkage between the edge and the cloud, and you're going to actually, essentially what you need is a cloud managed edge. >> Yeah, and this is where the super cloud extends, where you can extend the value of what you're building to these dynamically new emerging, and it's just the beginning. There'll be more. >> Oh, there's a ton of new applications emerging there. And I think that's going to be, I mean, there's people out there who code that half of data is going to be generated at the edge in a couple of years. >> Well, Rajiv, I am excited that you can bring the depth of technical architectural knowledge to the table on supercloud, as well as run a company. Congratulations on your success, and thanks for sharing with us and being part of our community. >> No, thank you, John, for having me on your show. >> Okay. Supercloud 22, we're continuing to open up the conversation. There is structural change happening. We're going to watch it. We're going to make it an open conversation. We're not going to make a decision. We're going to just let everyone discuss it and see how it evolves and on the best in the business discussing it, and we're going to keep it going. Thanks for watching. (digital music)
SUMMARY :
Thanks for coming by the show. and the Supercloud kind How do you see this shift? and the IT teams can and you know, the enterprise, Talent is perhaps the most It's not all AWS all the time. and they're looking to and it makes life a is kind of interesting It's a way you operate your environment, from the customer's Lock in is a fear and ops and how to get around. of the vendors you work with Okay, you guys have been transforming What's the current strategy for you guys? that out to the edge. So on the hardware thing, of hardware partners, and you can buy the hardware the servers at that point. So no hardware, so back to They have the flexibility to get And how do you want them to see you? And so that's the journey we are on, And now you can leverage that have all the economies of scale of cloud, in the real world and they didn't know how to do it. that's agile. Versus the alternative and God knows how long that takes. So compared to all that here, Well, I mean, you know, and I have a lot of respect Yes, I mean a lot of them of VMware alumni. We call the V mafia, by the way. I dunno about the V mafia, but. and the team have been very bullish on And the problem for them is, It kind of the interplay on It's changing this thing the goodness of cloud, is what you call a supercloud. and you got a company to run. and just the edge in general. Amazon is buying, you know, and the software side of things, and generate a lot of data, Think of the edge starting from the cloud, so to speak. and it's just the beginning. And I think that's going to be, I mean, excited that you can bring for having me on your show. and on the best in the
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Exploring The Rise of Kubernete's With Two Insiders
>>Hi everybody. This is Dave Volante. Welcome to this cube conversation where we're going to go back in time a little bit and explore the early days of Kubernetes. Talk about how it formed the improbable events, perhaps that led to it. And maybe how customers are taking advantage of containers and container orchestration today, and maybe where the industry is going. Matt Provo is here. He's the founder and CEO of storm forge and Chandler Huntington hoes. Hoisington is the general manager of EKS edge and hybrid AWS guys. Thanks for coming on. Good to see you. Thanks for having me. Thanks. So, Jenny, you were the vice president of engineering at miso sphere. Is that, is that correct? >>Well, uh, vice-president engineering basis, fear and then I ran product and engineering for DTQ masons. >>Yeah. Okay. Okay. So you were there in the early days of, of container orchestration and Matt, you, you were working at a S a S a Docker swarm shop, right? Yep. Okay. So I mean, a lot of people were, you know, using your platform was pretty novel at the time. Uh, it was, it was more sophisticated than what was happening with, with Kubernetes. Take us back. What was it like then? Did you guys, I mean, everybody was coming out. I remember there was, I think there was one Docker con and everybody was coming, the Kubernetes was announced, and then you guys were there, doc Docker swarm was, was announced and there were probably three or four other startups doing kind of container orchestration. And what, what were those days like? Yeah. >>Yeah. I wasn't actually atmosphere for those days, but I know them well, I know the story as well. Um, uh, I came right as we started to pivot towards Kubernetes there, but, um, it's a really interesting story. I mean, obviously they did a documentary on it and, uh, you know, people can watch that. It's pretty good. But, um, I think that, from my perspective, it was, it was really interesting how this happened. You had basically, uh, con you had this advent of containers coming out, right? So, so there's new novel technology and Solomon, and these folks started saying, Hey, you know, wait a second, wait if I put a UX around these couple of Linux features that got launched a couple of years ago, what does that look like? Oh, this is pretty cool. Um, so you have containers starting to crop up. And at the same time you had folks like ThoughtWorks and other kind of thought leaders in the space, uh, starting to talk about microservices and saying, Hey, monoliths are bad and you should break up these monoliths into smaller pieces. >>And any Greenfield application should be broken up into individuals, scalable units that a team can can own by themselves, and they can scale independent of each other. And you can write tests against them independently of other components. And you should break up these big, big mandalas. And now we are kind of going back to model this, but that's for another day. Um, so, so you had microservices coming out and then you also had containers coming out, same time. So there was like, oh, we need to put these microservices in something perfect. We'll put them in containers. And so at that point, you don't really, before that moment, you didn't really need container orchestration. You could just run a workload in a container and be done with it, right? You didn't need, you don't need Kubernetes to run Docker. Um, but all of a sudden you had tons and tons of containers and you had to manage these in some way. >>And so that's where container orchestration came, came from. And, and Ben Heineman, the founder of Mesa was actually helping schedule spark at the time at Berkeley. Um, and that was one of the first workloads with spark for Macy's. And then his friends at Twitter said, Hey, come over, can you help us do this with containers at Twitter? He said, okay. So when it helped them do it with containers at Twitter, and that's kinda how that branch of the container wars was started. And, um, you know, it was really, really great technology and it actually is still in production in a lot of shops today. Um, uh, more and more people are moving towards Kubernetes and Mesa sphere saw that trend. And at the end of the day, Mesa sphere was less concerned about, even though they named the company Mesa sphere, they were less concerned about helping customers with Mesa specifically. They really want to help customers with these distributed problems. And so it didn't make sense to, to just do Mesa. So they would took on Kubernetes as well. And I hope >>I don't do that. I remember, uh, my, my co-founder John furrier introduced me to Jerry Chen way back when Jerry is his first, uh, uh, VC investment with Greylock was Docker. And we were talking in these very, obviously very excited about it. And, and his Chandler was just saying, it said Solomon and the team simplified, you know, containers, you know, simple and brilliant. All right. So you guys saw the opportunity where you were Docker swarm shop. Why? Because you needed, you know, more sophisticated capabilities. Yeah. But then you, you switched why the switch, what was happening? What was the mindset back then? We ran >>And into some scale challenges in kind of operationalize or, or productizing our kind of our core machine learning. And, you know, we, we, we saw kind of the, the challenges, luckily a bit ahead of our time. And, um, we happen to have someone on the team that was also kind of moonlighting, uh, as one of the, the original core contributors to Kubernetes. And so as this sort of shift was taking place, um, we, we S we saw the flexibility, uh, of what was becoming Kubernetes. Um, and, uh, I'll never forget. I left on a Friday and came back on a Monday and we had lifted and shifted, uh, to Kubernetes. Uh, the challenge was, um, you know, you, at that time, you, you didn't have what you have today through EKS. And, uh, those kinds of services were, um, just getting that first cluster up and running was, was super, super difficult, even in a small environment. >>And so I remember we, you know, we, we finally got it up and running and it was like, nobody touch it, don't do anything. Uh, but obviously that doesn't, that doesn't scale either. And so that's really, you know, being kind of a data science focused shop at storm forge from the very beginning. And that's where our core IP is. Uh, our, our team looked at that problem. And then we looked at, okay, there are a bunch of parameters and ways that I can tune this application. And, uh, why are the configurations set the way that they are? And, you know, uh, is there room to explore? And that's really where, unfortunately, >>Because Mesa said much greater enterprise capabilities as the Docker swarm, at least they were heading in that direction, but you still saw that Kubernetes was, was attractive because even though it didn't have all the security features and enterprise features, because it was just so simple. I remember Jen Goldberg who was at Google at the time saying, no, we were focused on keeping it simple and we're going from mass adoption, but does that kind of what you said? >>Yeah. And we made a bet, honestly. Uh, we saw that the, uh, you know, the growing community was really starting to, you know, we had a little bit of an inside view because we had, we had someone that was very much in the, in the original part, but you also saw the, the tool chain itself start to, uh, start to come into place right. A little bit. And it's still hardening now, but, um, yeah, we, as any, uh, as any startup does, we, we made a pivot and we made a bet and, uh, this, this one paid off >>Well, it's interesting because, you know, we said at the time, I mean, you had, obviously Amazon invented the modern cloud. You know, Microsoft has the advantage of has got this huge software stays, Hey, just now run it into the cloud. Okay, great. So they had their entry point. Google didn't have an entry point. This is kind of a hail Mary against Amazon. And, and I, I wrote a piece, you know, the improbable, Verizon, who Kubernetes to become the O S you know, the cloud, but, but I asked, did it make sense for Google to do that? And it never made any money off of it, but I would argue they, they were kind of, they'd be irrelevant if they didn't have, they hadn't done that yet, but it didn't really hurt. It certainly didn't hurt Amazon EKS. And you do containers and your customers you've embraced it. Right. I mean, I, I don't know what it was like early days. I remember I've have talked to Amazon people about this. It's like, okay, we saw it and then talk to customers, what are they doing? Right. That's kind of what the mindset is, right? Yeah. >>That's, I, I, you know, I've, I've been at Amazon a couple of years now, and you hear the stories of all we're customer obsessed. We listened to our customers like, okay, okay. We have our company values, too. You get told them. And when you're, uh, when you get first hired in the first day, and you never really think about them again, but Amazon, that really is preached every day. It really is. Um, uh, and that we really do listen to our customers. So when customers start asking for communities, we said, okay, when we built it for them. So, I mean, it's, it's really that simple. Um, and, and we also, it's not as simple as just building them a Kubernetes service. Amazon has a big commitment now to start, you know, getting involved more in the community and working with folks like storm forage and, and really listening to customers and what they want. And they want us working with folks like storm florigen and that, and that's why we're doing things like this. So, well, >>It's interesting, because of course, everybody looks at the ecosystem, says, oh, Amazon's going to kill the ecosystem. And then we saw an article the other day in, um, I think it was CRN, did an article, great job by Amazon PR, but talk about snowflake and Amazon's relationship. And I've said many times snowflake probably drives more than any other ISV out there. And so, yeah, maybe the Redshift guys might not love snowflake, but Amazon in general, you know, they're doing great three things. And I remember Andy Jassy said to me, one time, look, we love the ecosystem. We need the ecosystem. They have to innovate too. If they don't, you know, keep pace, you know, they're going to be in trouble. So that's actually a healthy kind of a dynamic, I mean, as an ecosystem partner, how do you, >>Well, I'll go back to one thing without the work that Google did to open source Kubernetes, a storm forge wouldn't exist, but without the effort that AWS and, and EKS in particular, um, provides and opens up for, for developers to, to innovate and to continue, continue kind of operationalizing the shift to Kubernetes, um, you know, we wouldn't have nearly the opportunity that we do to actually listen to them as well, listen to the users and be able to say, w w w what do you want, right. Our entire reason for existence comes from asking users, like, how painful is this process? Uh, like how much confidence do you have in the, you know, out of the box, defaults that ship with your, you know, with your database or whatever it is. And, uh, and, and how much do you love, uh, manually tuning your application? >>And, and, uh, obviously nobody's said, I love that. And so I think as that ecosystem comes together and continues expanding, um, it's just, it opens up a huge opportunity, uh, not only for existing, you know, EKS and, uh, AWS users to continue innovating, but for companies like storm forge, to be able to provide that opportunity for them as well. And, and that's pretty powerful. So I think without a lot of the moves they've made, um, you know, th the door wouldn't be nearly as open for companies like, who are, you know, growing quickly, but are smaller to be able to, you know, to exist. >>Well, and I was saying earlier that, that you've, you're in, I wrote about this, you're going to get better capabilities. You're clearly seeing that cluster management we've talked about better, better automation, security, the whole shift left movement. Um, so obviously there's a lot of momentum right now for Kubernetes. When you think about bare metal servers and storage, and then you had VM virtualization, VMware really, and then containers, and then Kubernetes as another abstraction, I would expect we're not at the end of the road here. Uh, what's next? Is there another abstraction layer that you would think is coming? Yeah, >>I mean, w for awhile, it looked like, and I remember even with our like board members and some of our investors said, well, you know, well, what about serverless? And, you know, what's the next Kubernetes and nothing, we, as much as I love Kubernetes, um, which I do, and we do, um, nothing about what we particularly do. We are purpose built for Kubernetes, but from a core kind of machine learning and problem solving standpoint, um, we could apply this elsewhere, uh, if we went that direction and so time will tell what will be next, then there will be something, uh, you know, that will end up, you know, expanding beyond Kubernetes at some point. Um, but, you know, I think, um, without knowing what that is, you know, our job is to, to, to serve our, you know, to serve our customers and serve our users in the way that they are asking for that. >>Well, serverless obviously is exploding when you look again, and we tucked the ETR survey data, when you look at, at the services within Amazon and other cloud providers, you know, the functions off, off the charts. Uh, so that's kind of an interesting and notable now, of course, you've got Chandler, you've got edge in your title. You've got hybrid in, in your title. So, you know, this notion of the cloud expanding, it's not just a set of remote services, just only in the public cloud. Now it's, it's coming to on premises. You actually got Andy, Jesse, my head space. He said, one time we just look at it. The data centers is another edge location. Right. Okay. That's a way to look at it and then you've got edge. Um, so that cloud is expanding, isn't it? The definition of cloud is, is, is evolving. >>Yeah, that's right. I mean, customers one-on-one run workloads in lots of places. Um, and that's why we have things like, you know, local zones and wavelengths and outposts and EKS anywhere, um, EKS, distro, and obviously probably lots more things to come. And there's, I always think of like, Amazon's Kubernetes strategy on a manageability scale. We're on one far end of the spectrum, you have EKS distro, which is just a collection of the core Kubernetes packages. And you could, you could take those and stand them up yourself in a broom closet, in a, in a retail shop. And then on the other far in the spectrum, you have EKS far gate where you can just give us your container and we'll handle everything for you. Um, and then we kind of tried to solve everything in between for your data center and for the cloud. And so you can, you can really ask Amazon, I want you to manage my control plane. I want you to manage this much of my worker nodes, et cetera. And oh, I actually want help on prem. And so we're just trying to listen to customers and solve their problems where they're asking us to solve them. Cut, >>Go ahead. No, I would just add that in a more vertically focused, uh, kind of orientation for us. Like we, we believe that op you know, optimization capabilities should transcend the location itself. And, and, and so whether that's part public part, private cloud, you know, that's what I love part of what I love about EKS anywhere. Uh, it, you know, you shouldn't, you should still be able to achieve optimal results that connect to your business objectives, uh, wherever those workloads, uh, are, are living >>Well, don't wince. So John and I coined this term called Supercloud and people laugh about it, but it's different. It's, it's, you know, people talk about multi-cloud, but that was just really kind of vendor diversity. Right? I got to running here, I'm running their money anywhere. Uh, but, but individually, and so Supercloud is this concept of this abstraction layer that floats wherever you are, whether it's on prem, across clouds, and you're taking advantage of those native primitives, um, and then hiding that underlying complexity. And that's what, w re-invent the ecosystem was so excited and they didn't call it super cloud. We, we, we called it that, but they're clearly thinking differently about the value that they can add on top of Goldman Sachs. Right. That to me is an example of a Supercloud they're taking their on-prem data and their, their, their software tooling connecting it to AWS. They're running it on AWS, but they're, they're abstracting that complexity. And I think you're going to see a lot, a lot more of that. >>Yeah. So Kubernetes itself, in many cases is being abstracted away. Yeah. There's a disability of a disappearing act for Kubernetes. And I don't mean that in a, you know, in an, a, from an adoption standpoint, but, uh, you know, Kubernetes itself is increasingly being abstracted away, which I think is, is actually super interesting. Yeah. >>Um, communities doesn't really do anything for a company. Like we run Kubernetes, like, how does that help your bottom line? That at the end of the day, like companies don't care that they're running Kubernetes, they're trying to solve a problem, which is the, I need to be able to deploy my applications. I need to be able to scale them easily. I need to be able to update them easily. And those are the things they're trying to solve. So if you can give them some other way to do that, I'm sure you know, that that's what they want. It's not like, uh, you know, uh, a big bank is making more money because they're running Kubernetes. That's not, that's not the current, >>It gets subsumed. It's just become invisible. Right. Exactly. You guys back to the office yet. What's, uh, what's the situation, >>You know, I, I work for my house and I, you know, we go into the office a couple of times a week, so it's, it's, uh, yeah, it's, it's, it's a crazy time. It's a crazy time to be managing and hiring. And, um, you know, it's, it's, it's, it's definitely a challenge, but there's a lot of benefits of working home. I got two young kids, so I get to see them, uh, grow up a little bit more working, working out of my house. So it's >>Nice also. >>So we're in, even as a smaller startup, we're in 26, 27 states, uh, Canada, Germany, we've got a little bit of presence in Japan, so we're very much distributed. Um, we, uh, have not gone back and I'm not sure we will >>Permanently remote potentially. >>Yeah. I mean, w we made a, uh, pretty like for us, the timing of our series B funding, which was where we started hiring a lot, uh, was just before COVID started really picking up. So we, you know, thankfully made a, a pretty good strategic decision to say, we're going to go where the talent is. And yeah, it was harder to find for sure, especially in w we're competing, it's incredibly competitive. Uh, but yeah, we've, it was a good decision for us. Um, we are very about, you know, getting the teams together in person, you know, as often as possible and in the safest way possible, obviously. Um, but you know, it's been a, it's been a pretty interesting, uh, journey for us and something that I'm, I'm not sure I would, I would change to be honest with you. Yeah. >>Well, Frank Slootman, snowflakes HQ to Montana, and then can folks like Michael Dell saying, Hey, same thing as you, wherever they want to work, bring yourself and wherever you are as cool. And do you think that the hybrid mode for your team is kind of the, the, the operating mode for the, for the foreseeable future is a couple of, >>No, I think, I think there's a lot of benefits in both working from the office. I don't think you can deny like the face-to-face interactions. It feels good just doing this interview face to face. Right. And I can see your mouth move. So it's like, there's a lot of benefits to that, um, over a chime call or a zoom call or whatever, you know, that, that also has advantages, right. I mean, you can be more focused at home. And I think some version of hybrid is probably in the industry's future. I don't know what Amazon's exact plans are. That's above my pay grade, but, um, I know that like in general, the industry is definitely moving to some kind of hybrid model. And like Matt said, getting people I'm a big fan at Mesa sphere, we ran a very diverse, like remote workforce. We had a big office in Germany, but we'd get everybody together a couple of times a year for engineering week or, or something like this. And you'd get a hundred people, you know, just dedicated to spending time together at a hotel and, you know, Vegas or Hamburg or wherever. And it's a really good time. And I think that's a good model. >>Yeah. And I think just more ETR data, the current thinking now is that, uh, the hybrid is the number one sort of model, uh, 36% that the CIO is believe 36% of the workforce are going to be hybrid permanently is kind of their, their call a couple of days in a couple of days out. Um, and the, the percentage that is remote is significantly higher. It probably, you know, high twenties, whereas historically it's probably 15%. Yeah. So permanent changes. And that, that changes the infrastructure. You need to support it, the security models and everything, you know, how you communicate. So >>When COVID, you know, really started hitting and in 2020, um, the big banks for example, had to, I mean, you would want to talk about innovation and ability to, to shift quickly. Two of the bigger banks that have in, uh, in fact, adopted Kubernetes, uh, were able to shift pretty quickly, you know, systems and things that were, you know, historically, you know, it was in the office all the time. And some of that's obviously shifted back to a certain degree, but that ability, it was pretty remarkable actually to see that, uh, take place for some of the larger banks and others that are operating in super regulated environments. I mean, we saw that in government agencies and stuff as well. >>Well, without the cloud, no, this never would've happened. Yeah. >>And I think it's funny. I remember some of the more old school manager thing people are, aren't gonna work less when they're working from home, they're gonna be distracted. I think you're seeing the opposite where people are too much, they get burned out because you're just running your computer all day. And so I think that we're learning, I think everyone, the whole industry is learning. Like, what does it mean to work from home really? And, uh, it's, it's a fascinating thing is as a case study, we're all a part of right now. >>I was talking to my wife last night about this, and she's very thoughtful. And she w when she was in the workforce, she was at a PR firm and a guy came in a guest speaker and it might even be in the CEO of the company asking, you know, what, on average, what time who stays at the office until, you know, who leaves by five o'clock, you know, a few hands up, or who stays until like eight o'clock, you know, and enhancement. And then, so he, and he asked those people, like, why, why can't you get your work done in a, in an eight hour Workday? I go home. Why don't you go in? And I sit there. Well, that's interesting, you know, cause he's always looking at me like, why can't you do, you know, get it done? And I'm saying the world has changed. Yeah. It really has where people are just on all the time. I'm not sure it's sustainable, quite frankly. I mean, I think that we have to, you know, as organizations think about, and I see companies doing it, you guys probably do as well, you know, take a four day, you know, a week weekend, um, just for your head. Um, but it's, there's no playbook. >>Yeah. Like I said, we're a part of a case study. It's also hard because people are distributed now. So you have your meetings on the east coast, you can wake up at seven four, and then you have meetings on the west coast. You stay until seven o'clock therefore, so your day just stretches out. So you've got to manage this. And I think we're, I think we'll figure it out. I mean, we're good at figuring this stuff. >>There's a rise in asynchronous communication. So with things like slack and other tools, as, as helpful as they are in many cases, it's a, it, isn't always on mentality. And like, people look for that little green dot and you know, if you're on the you're online. So my kids, uh, you know, we have a term now for me, cause my office at home is upstairs and I'll come down. And if it's, if it's during the day, they'll say, oh dad, you're going for a walk and talk, you know, which is like, it was my way of getting away from the desk, getting away from zoom. And like, you know, even in Boston, uh, you know, getting outside, trying to at least, you know, get a little exercise or walk and get, you know, get my head away from the computer screen. Um, but even then it's often like, oh, I'll get a slack notification on my phone or someone will call me even if it's not a scheduled walk and talk. Um, uh, and so it is an interesting, >>A lot of ways to get in touch or productivity is presumably going to go through the roof. But now, all right, guys, I'll let you go. Thanks so much for coming to the cube. Really appreciate it. And thank you for watching this cube conversation. This is Dave Alante and we'll see you next time.
SUMMARY :
So, Jenny, you were the vice president Well, uh, vice-president engineering basis, fear and then I ran product and engineering for DTQ So I mean, a lot of people were, you know, using your platform I mean, obviously they did a documentary on it and, uh, you know, people can watch that. Um, but all of a sudden you had tons and tons of containers and you had to manage these in some way. And, um, you know, it was really, really great technology and it actually is still you know, containers, you know, simple and brilliant. Uh, the challenge was, um, you know, you, at that time, And so that's really, you know, being kind of a data science focused but does that kind of what you said? you know, the growing community was really starting to, you know, we had a little bit of an inside view because we Well, it's interesting because, you know, we said at the time, I mean, you had, obviously Amazon invented the modern cloud. Amazon has a big commitment now to start, you know, getting involved more in the community and working with folks like storm And so, yeah, maybe the Redshift guys might not love snowflake, but Amazon in general, you know, you know, we wouldn't have nearly the opportunity that we do to actually listen to them as well, um, you know, th the door wouldn't be nearly as open for companies like, and storage, and then you had VM virtualization, VMware really, you know, that will end up, you know, expanding beyond Kubernetes at some point. at the services within Amazon and other cloud providers, you know, the functions And so you can, you can really ask Amazon, it, you know, you shouldn't, you should still be able to achieve optimal results that connect It's, it's, you know, people talk about multi-cloud, but that was just really kind of vendor you know, in an, a, from an adoption standpoint, but, uh, you know, Kubernetes itself is increasingly It's not like, uh, you know, You guys back to the office And, um, you know, it's, it's, it's, it's definitely a challenge, but there's a lot of benefits of working home. So we're in, even as a smaller startup, we're in 26, 27 Um, we are very about, you know, getting the teams together And do you think that the hybrid mode for your team is kind of the, and, you know, Vegas or Hamburg or wherever. and everything, you know, how you communicate. you know, systems and things that were, you know, historically, you know, Yeah. And I think it's funny. and it might even be in the CEO of the company asking, you know, what, on average, So you have your meetings on the east coast, you can wake up at seven four, and then you have meetings on the west coast. And like, you know, even in Boston, uh, you know, getting outside, And thank you for watching this cube conversation.
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Leyla Delic, Coca Cola icecek & Palak Kadkia, UiPath | UiPath FORWARD IV
>>From the Bellagio hotel in Las Vegas. It's the cube covering UI path forward for brought to you by UI path. >>Welcome back to Las Vegas. Live the cube. Yes, it's live in Las Vegas at the Bellagio. Lisa Martin, with Dave Alante, we are covering UI path forward for very excited to be here, talking with customers, UI path, employees, partners, lots of great conversations going on about automation and the acceleration that we're seeing, especially in the last 18 months. We've got two guests here with me today to talk about emerging technologies, specifically continuous process discovery. Please welcome Paula Katikia VP of product management at UI path and Layla Deleage CIO and digital officer at Coca Cola. Ladies, welcome to >>The program. Thank you. It's great to be here. So let's >>Talk about public. Let's start with you. Continuous process discovery. Define that for us. What does that mean? >>So process discovery has been, um, a concept that's been around for awhile, right? It's enterprises have a bunch of processes that are deployed and people are following them. Um, the concept of discovery has existed. What we're trying to do with continuous process discovery is enable you to identify the processes, figure out how to optimize them and then automate them once they're automated, we want to monitor them and then keep doing that cycle over and over again, using technology rather than having fill in, having people fill in paperwork and then having those processes go out of, um, out of, um, status, like right away, because they're just becoming stale with continuous process discovery. They don't become stale. You're getting that real time feedback loop and you're getting the processes to work and to end continuously. >>So I wonder if I could follow up on that because I remember when you guys made the acquisition of process gold. And so as somebody who's heavily involved in product management, how did you go about, I mean, it's been, sounds like it's seamless, but it never is. Right. But how did you go about integrating and making it appear as though it's just kind of part of the platform? >>I mean, there's a lot goes into that right. Process gold was a great technology to begin with. So it wasn't a huge stretch for us to take it and integrate it and make it part of the platform. Um, typically when we acquire companies, we look for product market fit. We look for a technology fit. We look for people fit and we had that with process gold. The other thing to add there is a process discovery, um, specifically with Parsis gold and automation go hand in hand, you can't having one without the other is kind of leaving half of your solution on the table and just focusing on understanding and not focusing on implementation. And so it was very easy to take that technology and make it part of the hyper automation platform. >>Well, the reason why I asked that question is because it sort of coincides with a customer's journey where you go from sort of a individual department. And then now you're saying, I always say pave the cow path. And I kind of take a process that I know I'll just implement that even might not be the best I'm going to repeat and takes you to a new realm. And so this is, to me, this is all about how incumbent companies, a hundred plus year old companies can actually be digital disruptors as opposed to being disrupted themselves. Right? A lot of smart people running these big companies. So last time we talked, you were relatively new inside of a year. So how's the journey going. And, and how does it tie in to some of the advancements that UI path has made? Yeah, >>Absolutely. So the journey is going great. I like to work to use accelerate. So I'm here to accelerate and transform and why we have to do it is so that we don't become obsolete and we continue to be relevant for our customers, for our employees. They're important and for our community. So the are doing a lot of finished running a lot of initiatives. When you look at being relevant for the customer, that means we have to transform the way we operate and our business models. We have to generate new revenue streams now that are enabled and based on data and technology, while you do that, you have to create efficiency internally. You cannot create great experiences with customers and you work with very monolithic and very old school, traditional processes or based off working and systems. So you have to make sure that you adapt and change and transform the way you work internally to meet the customer's needs and demand and generate these new business models. >>So our starting position was automation. We have to automate at an extreme speed, but we also wanted to go really far without automation, not just fast and hit with task automation and just automate these traditional 50, 60 year old processes, but have Doobie identify what else is there? There's a wealth of opportunity when you look at an end to end process. So that's where process mining as Polak described, comes into play. And actually we started affiliating with process mining during process gold. So your question around how the integration went, we actually went through that. I think the UI pads, one key value that they have, and they should never use is listening to the customer. So the got to get her with iPads. And we said, there's more to what we can do with automation. And we implemented process mining for one end to end process, amazing results, just one country, one end to end process, amazing results. But it's because of the partnership. We know what we need to achieve, but we have to do, and they know how to help us to get the technology up and running or adapt to technology and improve the technology. So that's where we are achieving outcomes. We are generating new business model, new revenue stream, automating internally re-skilling and up-skilling our people, which is extremely important that comes along with automation that redesign exciters sorry, but that redesign a work is >>Very important in the CEO's role is very important in that as well. I wanted to talk though about something that you just said with respect to the listening piece that you have is so good at this morning in the keynote. Mary said too, you know, all that, which was standing room only, which was amazing to see, um, in this day and age, but that they wanted to hear from customers. What are we doing? Right? What are we not doing that you want to see more of? What do you want to see less of? Talk to me about the direction and advice that you, as the CIO of Coca-Cola is able to provide to flock and the team about where you I've had this going, right. It's really on a very fast cadence. >>Absolutely. So as Coca-Cola TJ, we started the journey with two iPad, three years of work. Exactly. I was on the job and the second big technology decision I made was the iPad. And since then it was fear consistently think. But during our cab meeting, Daniel said something, he said, I'm not welcoming the request. He said, we welcome. He said, no, no, sorry. I am not welcoming. I'm requesting you to give us insight. And I think that's very critical. That's what we want to hear. At the end of the day, we are technologists. We are total leaders, but the are better taught leaders with our technology partners. So we want technology partners to show us the way sometimes. And with low code, no code type of approaches. And the evolution of the technology that UI path is, has been running since the past three years is helping us remove so many barriers. >>When it comes to people, they are listening to us in terms of the roadmap and what should be implemented and what should be prioritized VR, providing with them, our roadmap, our vision on where we want to go in automation and hugged battle. We want to integrate with other ecosystem and environments that we have. They are listening to us in terms of, for the existing products, what can be improved, what can work better? And we don't need a cab actually for you iPad to listen to us. We work hand in hand with two iPad team continuously be coil, you know, eight sometimes. So, and that's what we want them to continue to do. They are great technologists, as long as they continue to listen to us, they're going to be greater technology. >>Yeah. And I'll share my perspective on this, this, this, you know, these partnerships actually make us build better products, right? We get to, this is how we stay ahead of the curve by listening to our customers, because they're the ones who are doing the implementations. They understand how our product works. We can design it, we can test it. But that's the extent to which we can go once they implement it is when we know what's working, what's not working. And how do we take that feedback and make better products. So it's a two-way street. We love hearing from them constantly. >>You have to decode what the customer is saying sometimes, right? Like Steve jobs said, yeah, if you just ask the customer what they want, you'll never build, you know, something that's game changing the world changing. And so, so you have to talk to Layla, you get the input from COVID, Coca-Cola maybe many and then other customers to figure out, okay, how can I apply this? So that actually can scale and meet the needs of many customers. Not just so, because otherwise you end up being, you know, a custom development shop, which ironically is what you guys were 20 years ago. Right? So it's kind of some art involved in the science of listening. Isn't it? >>There is definitely, I mean, most of our job as product managers is to design the product, right? It's very much art and the feedback that we get from Layla and others, it really just helps us focus on a vision. But, you know, keeping up with new technology trends, figuring out how to figuring out how to, um, bring AI into our product vision and looking beyond what we're being told and asked for and looking forward at what the next trends are going to be in technology is what helps us continue to innovate. So it's both, it's the balance of what we're hearing, but also technologies. And what's possible with what's available >>Question for you. You said three years ago, you guys brought in UI path, right after you joined the company as it's CIO, why U I path, clearly you looked at some of the other folks, you mentioned that company that they acquired, but what in your mind differentiates what they're able to deliver on the partnership side and the technology side? >>Yeah. Very important question. We have a definition for a technology partner for us, the technology partner needs to meet criteria of innovating. So how much do you invest in innovation? And Daniel says, I don't even know the number, right? So because we want them to be on the forefront. Sometimes they have to pull us and sometimes we have to pull them. The second one is very important for a company to be successful in automation or in any advanced technology, you have to build intellectual property within your enterprise. And we did not want to art source technology. We wanted to insource technology and we asked you, I pad, if they would be reeling to co-innovate, co-develop collaborate with us. They were the only ones who allowed us to build the intellectual property within my enterprise, because that's the way I'm going to innovate. And that's the way I'm going to help product leaders like Pollock to create better products. Right? So, and the third one is just building expertise. Low-code no-code the technology company needs to, you know, wait where they remove some of the barriers for me to find the skills or develop talent, how easy it is to find the talent and skills to develop this technology. Right. And what, what does the technology company do to develop skills? So these are a few criteria that we have, and then when the company takes all of those, they are in, >>I'm interested in, um, to kind of shift the conversation. If I may, in your, your role, it's not uncommon to see a CIO and a chief digital officer together, but it's quite uncommon at a, at a large firm like Coca-Cola. And, and I'm wondering, is that how the company, cause your group sees information in digital? Is that how the company's organized? You know, that you plug into somebody who has that to a role. Can you talk about, >>Yeah, absolutely. So cocoli too. Jake is within the Coca-Cola system. We are one of the leading butlers within the Coca-Cola system. The reason I merged the two roles is to be successful in the digital era. When you have the digital and it separated. If it goes a little slower, you can not be successful in digital and you cannot be successful in generating new revenue streams or new business models. So you have to orchestrate that evolution and transformation of it and the rest of the business together. And that's why I merged the two roles. We are unique as Coca-Cola >>Merged them. You say you merged those roles, like, did you come at it from the, where you digital first and then CIO first >>Digital first. Okay. Great point. I built from scratch and started with the digital strategy. And then we went into defining what roles, what skills do we need? And then we redefined, what are the improvements we need on the it side? But it was all digital product based >>Because I think, uh, I think it would be much harder for a CIO, let alone a woman CIO, no offense, but I don't think there's any offense there, but oh, she's trying to do a land grab. I could see that happening, but the digital officer title, because that's the hot title and it's the visionary. Right. And it's a lot of times it's undefined. Yeah. So that's that and that, and that that's the structure of the organization. So you roll up into it. >>Uh, so yeah, because I came into the ex-con role. I had the privilege to kind of shape it from scratch. >>Exactly. And >>Like Shankar was talking about hidden brain and all the change this morning, it was a change in terms of how are we going to approach digital? It was a change in terms of all the people who are part of the company and people who have been in technology or it before right now, the expectations are very different. You have to be product organization, you have to be outcome centric. You have to generate the revenue streams. So it's very different from the world of it. I think any it or any technology leader can do this, if they are willing to transform themselves first and then their organization, and then they can transform the rest of the company, >>Chief digital officer data is a big part of your role. You're not the chief data officer, >>The organization, that's >>Part of your, okay, so the CDL reports into, okay, and that individual sure is responsible for governance and compliance. >>Well look, the data management, data governance, the foundation, and all the database solutions, I think >>You got it right. I think this idea of creating stovepipes, it just it's, it's not as productive and it's harder to make decisions that are aligned with the organization's goals, >>Boulder. So we're going to disrupt further. Our goal now is to create platforms and then democratize the platforms. So our operating partners can learn the new skills and they can develop their own use cases on the platforms. And that way they'll go much, further and much faster in terms of the generational new revenue, streams, changing, operating models, data and technology. I call it the new operating system of any business and everybody must learn >>Well. And that's what I want to ask you about, because if you think about, uh, uh, a company and incumbent, like Coca-Cola your processes over the years have in your data, maybe they were organized around the bottlers or the distribution channel, et cetera. And that might not be the best process. So you have to take a look at that and then use process mining to say, actually, what is the best process, reinvent yourself? Okay. >>Absolutely VRD and re-engineering and reinventing in a lot of places. Process mining helped us in short order to cash cycle. Everybody, every company has ordered to cash process. We took an order to cash process, which we recently standardized, by the way we thought we did. And every process mining told us that very few times you go through the happy path. Most of the times you go out of the happy path. So gave us a lot of tangible outcomes where we improve the cycle time. And it's an interesting process because you touch the customer it's impacts your delivery and your commitments to the customer. And it makes life easier for the employees. When you improve the process, this is only one piece VR also transforming the way we are interacting with our customers using digital means and digital channel. But one thing is very valuable with us while we do all of this staying hybrid is very important. Like with everything else, they do that human touch and personal relationship with our customers and consumers is invaluable. So we going to keep that doesn't matter how digital we go or how much technology we implement. They're going to keep the customer and consumer connect the most valuable asset that we have. >>Absolutely. It is. I'll go ahead. >>I was going to say, this is the one thing that, that we think about when we're designing our products, right? It's how can process my mining help you optimize your workflows, such that you can spend more time with the customer such that you can spend more time and get back to them faster. >>Yeah, that's critical. They, I always say the employee experience is inextricably linked to the customer experience. And so what you just talked about, you talked about so much stuff that I'd love to unpack. We probably don't have time, but coming in as with a transformation mindset, one being, you mentioned, you know, leaders need to be willing to embrace that. Obviously you were, but as a CIO, >>Working with UI path, you're really helping to redefine work. And also that customer experience, to an extent, how's your iPod helped facilitate that. So because they are listening and they are willing to partner with, and I think the most importantly, they're going to be part of our outcomes. They care about our outcomes. And going back to your question, how do we select a technology partner? That was one of the critical items. Outcomes are very critical. If there's no outcome, there's no point in it are not doing technology for the sake of doing it. We are, yes. We are all excited with what technology can bring and removing barriers very important, which is a huge, another huge topic. But if you don't generate an outcome it's meaningless and you AIPAC is willing to understand the outcome we are generating. So it's less of a commercial discussion, more of a technology and outcome conversation. >>So whether it's an customer outcome or an employee outcome or a cash outcome, financial outcome, I think that's why we have been successful. And they have been on the journey with you, iPad process mining. I think they are one of the very few clients, right? Customers of UI path who are using it. And because we are very progressive organization, you AIPAC is listening to our feedback and implementing back to your earlier question, you have so many customers who do you listen, right? So when you are progressive and when you really know what you are doing, you're also pulling your iPad, a big technology company into a direction that is more meaningful. So they listen to us in terms of what to improve with process mining. And that's why we were able to achieve the outcomes. And now they are listening to us further on further improvements on process mining so that we can capitalize on further outcomes and benefits of process mining >>In order to cash is common use cases. So what, what, uh, were there any diamonds in the rough, or do you suspect there are with, >>We already realized, yes. We realized multiple tangible outcomes. We discussed this with Polak earlier today. One of them is some very interesting, I'm not able to share, but the most critical one is be focused on improving cash cycle. It's scent. You can imagine extremely full flow business, even within FMCG, right? We as Coca-Cola system, we are an extremely flow business. It's an instant consumption business. Hence your delivery and cash cycles are very different compared to other industries. So we said, we want to improving cash. We discovered that the improved, the invoice due date change, which impacts the payment terms by 20%, we improved credit limits approvals by 5% by removing unnecessary approval steps. We realized there were unnecessary approvals. These two are directly impacting our customers as well because it's waiting in somebody's queue to handle those approvals. And the customer is not getting to delay delivery because it's payment, payment and delivery go hand in hand. >>And the third one is, and I'm not able to articulate it exact outcome, but it's a very critical day, every day gain on getting cash. So it's a cash game. The next big outcome is the cycle time improvements. So we significantly improve the cycle time of the process. And this means efficiency for our employees. We are making life easier for them. The last one is again, a tangible one 30,000 hours back in terms of productivity, one process, one country, 30,000 hours. And that translates into exactly that translates into benefit for the customer. You increase customer satisfaction, you increase employee satisfaction. 'cause you remove all the non-available for it. So going back to Pollock's point around continuous discovery, that's why we love it. It's like good old lean six Sigma lean six Sigma is exactly that you continuously, you want to continuously improve the process. You don't do it once with process mining. We don't want to do it once. We want to do it continuously, but this time with automation, >>But before we go, I'm the lone male on the panel. So I have to ask. So, so you CIO seat, chief digital role, very uncommon, let alone uncommon for a woman. Big time product management person. Okay. That's cool check. Right? You've been in the industry for a while now, a celebrity on the, on the cube and elsewhere. So has the pandemic, how has the pandemic affected the whole women in tech trend? Has it slowed it down? Has it accelerated? We were talking earlier about the working moms feeling like way stressed out more than the working dads, double 30% versus 15%. Has the pandemic in your minds altered in any way, was women in tech meme? How so positive. Negative. >>So we are trying to turn the negative into a positive. It is negative. Absolutely. I think it's impacted everybody, all, all women in all industries and in all areas of operation and workforce women in technology is already a very slim, right? It's a very tiny layer within any company and out there in the society. And unfortunately the challenges that came with COVID impacted and some of them had to leave and they couldn't stick around. Right. So we are trying to turn that into positive. As a digital function, we have a big give back initiative. It's a priority of the digital team. I'll be talking about that very in, in, and our technology removes barriers. So we have to turn this into a positive, yes, COVID has impacted everybody personally and directly or indirectly. But now with technology, we can remove barriers. We have now flexible working and hybrid working models, being ramped up across all geographies and all industries and all companies, technology removes barriers. >>We can teach technology to a lot of people and our communities and they can join because we have huge skill gaps in technology that would sat is we have huge scarcity of skills in technology. And we have very few people, but we are talking about women dropping out or any type of minor to dropping out, right? So we can leverage and improve and turn it around. I hope we'll accomplish to do that. We started doing that in our company and in Turkey. And we are trying to expand that across multiple other countries with NGO partnerships, helping women to gain certain skills so that they can join the economy again from wherever they are. >>And from my point of view, I think there are two aspects to it. As Layla said, it has affected women a little bit more, but I've also seen, in some cases it has leveled the playing field a little bit because there's, you know, everybody's on zoom. The kids show up on zoom cameras for men, just as much as they do for women. So it helps shine a light on things that we would normally go through that nobody would know about. And I thought that was a really cool outcome to some degree of this. You know, my manager prom has little kids and they'd be in his background all the time, just as my little kids would be by background. And I'm like, oh wow. So you know how it feels to be the caregiver at home. And I thought, I thought that was a positive outcome of the whole being a female in technology. I liked that >>That's something that I hadn't thought about in terms of leveling the playing field like that there's in this situation, there are both positives and negatives. I like how you're seeing the playing field level a bit more and how you're at. Coca-Cola looking to, how can we turn this negative into a positive lots of opportunities there we uncovered a lot in the last, I'm going to guess 20 minutes talking about continuous process discovery, all the way to women in technology, how you're each doing that and what your perspectives are. I wish we had more time. We could keep going, but ladies, thank you for joining David. >>It's been a pleasure >>For Dave Volante. I'm Lisa Martin live in Las Vegas at the Bellagio UI path forward for it. We'll be right back.
SUMMARY :
UI path forward for brought to you by UI path. to be here, talking with customers, UI path, employees, partners, It's great to be here. Let's start with you. What we're trying to do with continuous process discovery is enable you to identify the processes, So I wonder if I could follow up on that because I remember when you guys made the acquisition of process gold. um, specifically with Parsis gold and automation go hand in hand, you can't having might not be the best I'm going to repeat and takes you to a So you have to make sure And we said, there's more to what we can do with automation. and the team about where you I've had this going, right. And the evolution of the technology And we don't need a cab actually for you iPad But that's the extent to which we can go once they implement it So that actually can scale and meet the needs of many So it's both, it's the balance of what we're hearing, You said three years ago, you guys brought in UI path, right after you joined the company as it's CIO, And that's the way I'm going to help product leaders like Pollock to create You know, that you plug into somebody So you have to orchestrate that evolution and transformation of it You say you merged those roles, like, did you come at it from the, where you digital first and then CIO And then we redefined, what are the improvements we need on the it side? and that that's the structure of the organization. I had the privilege to kind of shape it from scratch. And of the company and people who have been in technology or it before You're not the Part of your, okay, so the CDL reports into, okay, and that individual sure is responsible and it's harder to make decisions that are aligned with the organization's goals, I call it the new operating And that might not be the best process. the way we are interacting with our customers using digital means and digital channel. I'll go ahead. such that you can spend more time and get back to them faster. And so what you just talked about, you talked about so much stuff that I'd love to unpack. So it's less of a commercial discussion, more of a technology and outcome So they listen to us in terms of what to improve with process or do you suspect there are with, And the customer is not getting to delay delivery because it's payment, And the third one is, and I'm not able to articulate it exact outcome, So has the pandemic, So we have to turn this into a positive, And we are trying to expand the playing field a little bit because there's, you know, everybody's on zoom. We could keep going, but ladies, thank you for joining David. We'll be right back.
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December 8th Keynote Analysis | AWS re:Invent 2020
>>From around the globe. It's the cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS, and our community partners. >>Hi everyone. Welcome back to the cubes. Virtual coverage of AWS reinvent 2020 virtual. We are the cube virtual I'm John ferry, your host with my coach, Dave Alante for keynote analysis from Swami's machine learning, all things, data huge. Instead of announcements, the first ever machine learning keynote at a re-invent Dave. Great to see you. Thanks Johnny. And from Boston, I'm here in Palo Alto. We're doing the cube remote cube virtual. Great to see you. >>Yeah, good to be here, John, as always. Wall-to-wall love it. So, so, John, um, how about I give you my, my key highlights from the, uh, from the keynote today, I had, I had four kind of curated takeaways. So the first is that AWS is, is really trying to simplify machine learning and use machine intelligence into all applications. And if you think about it, it's good news for organizations because they're not the become machine learning experts have invent machine learning. They can buy it from Amazon. I think the second is they're trying to simplify the data pipeline. The data pipeline today is characterized by a series of hyper specialized individuals. It engineers, data scientists, quality engineers, analysts, developers. These are folks that are largely live in their own swim lane. Uh, and while they collaborate, uh, there's still a fairly linear and complicated data pipeline, uh, that, that a business person or a data product builder has to go through Amazon making some moves to the front of simplify that they're expanding data access to the line of business. I think that's a key point. Is there, there increasingly as people build data products and data services that can monetize, you know, for their business, either cut costs or generate revenue, they can expand that into line of business where there's there's domain context. And I think the last thing is this theme that we talked about the other day, John of extending Amazon, AWS to the edge that we saw that as well in a number of machine learning tools that, uh, Swami talked about. >>Yeah, it was great by the way, we're live here, uh, in Palo Alto in Boston covering the analysis, tons of content on the cube, check out the cube.net and also check out at reinvent. There's a cube section as there's some links to so on demand videos with all the content we've had. Dave, I got to say one of the things that's apparent to me, and this came out of my one-on-one with Andy Jassy and Andy Jassy talked about in his keynote is he kind of teased out this idea of training versus a more value add machine learning. And you saw that today in today's announcement. To me, the big revelation was that the training aspect of machine learning, um, is what can be automated away. And it's under a lot of controversy around it. Recently, a Google paper came out and the person was essentially kind of, kind of let go for this. >>But the idea of doing these training algorithms, some are saying is causes more harm to the environment than it does good because of all the compute power it takes. So you start to see the positioning of training, which can be automated away and served up with, you know, high powered ships and that's, they consider that undifferentiated heavy lifting. In my opinion, they didn't say that, but that's clearly what I see coming out of this announcement. The other thing that I saw Dave that's notable is you saw them clearly taking a three lane approach to this machine, learning the advanced builders, the advanced coders and the developers, and then database and data analysts, three swim lanes of personas of target audience. Clearly that is in line with SageMaker and the embedded stuff. So two big revelations, more horsepower required to process training and modeling. Okay. And to the expansion of the personas that are going to be using machine learning. So clearly this is a, to me, a big trend wave that we're seeing that validates some of the startups and I'll see their SageMaker and some of their products. >>Well, as I was saying at the top, I think Amazon's really trying, working hard on simplifying the whole process. And you mentioned training and, and a lot of times people are starting from scratch when they have to train models and retrain models. And so what they're doing is they're trying to create reusable components, uh, and allow people to, as you pointed out to automate and streamline some of that heavy lifting, uh, and as well, they talked a lot about, uh, doing, doing AI inferencing at the edge. And you're seeing, you know, they, they, uh, Swami talked about several foundational premises and the first being a foundation of frameworks. And you think about that at the, at the lowest level of their S their ML stack. They've got, you know, GPU's different processors, inferential, all these alternative processes, processors, not just the, the Xav six. And so these are very expensive resources and Swami talked a lot about, uh, and his colleagues talked a lot about, well, a lot of times the alternative processor is sitting there, you know, waiting, waiting, waiting. And so they're really trying to drive efficiency and speed. They talked a lot about compressing the time that it takes to, to run these, these models, uh, from, from sometimes weeks down to days, sometimes days down to hours and minutes. >>Yeah. Let's, let's unpack these four areas. Let's stay on the firm foundation because that's their core competency infrastructure as a service. Clearly they're laying that down. You put the processors, but what's interesting is the TensorFlow 92% of tensor flows on Amazon. The other thing is that pie torch surprisingly is back up there, um, with massive adoption and the numbers on pie torch literally is on fire. I was coming in and joke on Twitter. Um, we, a PI torch is telling because that means that TensorFlow is originally part of Google is getting, is getting a little bit diluted with other frameworks, and then you've got MX net, some other things out there. So the fact that you've got PI torch 91% and then TensorFlow 92% on 80 bucks is a huge validation. That means that the majority of most machine learning development and deep learning is happening on AWS. Um, >>Yeah, cloud-based, by the way, just to clarify, that's the 90% of cloud-based cloud, uh, TensorFlow runs on and 91% of cloud-based PI torch runs on ADM is amazingly massive numbers. >>Yeah. And I think that the, the processor has to show that it's not trivial to do the machine learning, but, you know, that's where the infrared internship came in. That's kind of where they want to go lay down that foundation. And they had Tanium, they had trainee, um, they had, um, infrared chow was the chip. And then, you know, just true, you know, distributed training training on SageMaker. So you got the chip and then you've got Sage makers, the middleware games, almost like a machine learning stack. That's what they're putting out there >>And how bad a Gowdy, which was, which is, which is a patrol also for training, which is an Intel based chip. Uh, so that was kind of interesting. So a lot of new chips and, and specialized just, we've been talking about this for awhile, particularly as you get to the edge and do AI inferencing, you need, uh, you know, a different approach than we're used to with the general purpose microbes. >>So what gets your take on tenant? Number two? So tenant number one, clearly infrastructure, a lot of announcements we'll go through those, review them at the end, but tenant number two, that Swami put out there was creating the shortest path to success for builders or machine learning builders. And I think here you lays out the complexity, Dave butts, mostly around methodology, and, you know, the value activities required to execute. And again, this points to the complexity problem that they have. What's your take on this? >>Yeah. Well you think about, again, I'm talking about the pipeline, you collect data, you just data, you prepare that data, you analyze that data. You, you, you make sure that it's it's high quality and then you start the training and then you're iterating. And so they really trying to automate as much as possible and simplify as much as possible. What I really liked about that segment of foundation, number two, if you will, is the example, the customer example of the speaker from the NFL, you know, talked about, uh, you know, the AWS stats that we see in the commercials, uh, next gen stats. Uh, and, and she talked about the ways in which they've, well, we all know they've, they've rearchitected helmets. Uh, they've been, it's really a very much database. It was interesting to see they had the spectrum of the helmets that were, you know, the safest, most safe to the least safe and how they've migrated everybody in the NFL to those that they, she started a 24%. >>It was interesting how she wanted a 24% reduction in reported concussions. You know, you got to give the benefit of the doubt and assume some of that's through, through the data. But you know, some of that could be like, you know, Julian Edelman popping up off the ground. When, you know, we had a concussion, he doesn't want to come out of the game with the new protocol, but no doubt, they're collecting more data on this stuff, and it's not just head injuries. And she talked about ankle injuries, knee injuries. So all this comes from training models and reducing the time it takes to actually go from raw data to insights. >>Yeah. I mean, I think the NFL is a great example. You and I both know how hard it is to get the NFL to come on and do an interview. They're very coy. They don't really put their name on anything much because of the value of the NFL, this a meaningful partnership. You had the, the person onstage virtually really going into some real detail around the depth of the partnership. So to me, it's real, first of all, I love stat cast 11, anything to do with what they do with the stats is phenomenal at this point. So the real world example, Dave, that you starting to see sports as one metaphor, healthcare, and others are going to see those coming in to me, totally a tale sign that Amazon's continued to lead. The thing that got my attention was is that it is an IOT problem, and there's no reason why they shouldn't get to it. I mean, some say that, Oh, concussion, NFL is just covering their butt. They don't have to, this is actually really working. So you got the tech, why not use it? And they are. So that, to me, that's impressive. And I think that's, again, a digital transformation sign that, that, you know, in the NFL is doing it. It's real. Um, because it's just easier. >>I think, look, I think, I think it's easy to criticize the NFL, but the re the reality is, is there anything old days? It was like, Hey, you get your bell rung and get back out there. That's just the way it was a football players, you know, but Ted Johnson was one of the first and, you know, bill Bellacheck was, was, you know, the guy who sent him back out there with a concussion, but, but he was very much outspoken. You've got to give the NFL credit. Uh, it didn't just ignore the problem. Yeah. Maybe it, it took a little while, but you know, these things take some time because, you know, it's generally was generally accepted, you know, back in the day that, okay, Hey, you'd get right back out there, but, but the NFL has made big investments there. And you can say, you got to give him, give him props for that. And especially given that they're collecting all this data. That to me is the most interesting angle here is letting the data inform the actions. >>And next step, after the NFL, they had this data prep data Wrangler news, that they're now integrating snowflakes, Databricks, Mongo DB, into SageMaker, which is a theme there of Redshift S3 and Lake formation into not the other way around. So again, you've been following this pretty closely, uh, specifically the snowflake recent IPO and their success. Um, this is an ecosystem play for Amazon. What does it mean? >>Well, a couple of things, as we, as you well know, John, when you first called me up, I was in Dallas and I flew into New York and an ice storm to get to the one of the early Duke worlds. You know, and back then it was all batch. The big data was this big batch job. And today you want to combine that batch. There's still a lot of need for batch, but when people want real time inferencing and AWS is bringing that together and they're bringing in multiple data sources, you mentioned Databricks and snowflake Mongo. These are three platforms that are doing very well in the market and holding a lot of data in AWS and saying, okay, Hey, we want to be the brain in the middle. You can import data from any of those sources. And I'm sure they're going to add more over time. Uh, and so they talked about 300 pre-configured data transformations, uh, that now come with stage maker of SageMaker studio with essentially, I've talked about this a lot. It's essentially abstracting away the, it complexity, the whole it operations piece. I mean, it's the same old theme that AWS is just pointing. It's its platform and its cloud at non undifferentiated, heavy lifting. And it's moving it up the stack now into the data life cycle and data pipeline, which is one of the biggest blockers to monetizing data. >>Expand on that more. What does that actually mean? I'm an it person translate that into it. Speak. Yeah. >>So today, if you're, if you're a business person and you want, you want the answers, right, and you want say to adjust a new data source, so let's say you want to build a new, new product. Um, let me give an example. Let's say you're like a Spotify, make it up. And, and you do music today, but let's say you want to add, you know, movies, or you want to add podcasts and you want to start monetizing that you want to, you want to identify, who's watching what you want to create new metadata. Well, you need new data sources. So what you do as a business person that wants to create that new data product, let's say for podcasts, you have to knock on the door, get to the front of the data pipeline line and say, okay, Hey, can you please add this data source? >>And then everybody else down the line has to get in line and Hey, this becomes a new data source. And it's this linear process where very specialized individuals have to do their part. And then at the other end, you know, it comes to self-serve capability that somebody can use to either build dashboards or build a data product. In a lot of that middle part is our operational details around deploying infrastructure, deploying, you know, training machine learning models that a lot of Python coding. Yeah. There's SQL queries that have to be done. So a lot of very highly specialized activities, what Amazon is doing, my takeaway is they're really streamlining a lot of those activities, removing what they always call the non undifferentiated, heavy lifting abstracting away that it complexity to me, this is a real positive sign, because it's all about the technology serving the business, as opposed to historically, it's the business begging the technology department to please help me. The technology department obviously evolving from, you know, the, the glass house, if you will, to this new data, data pipeline data, life cycle. >>Yeah. I mean, it's classic agility to take down those. I mean, it's undifferentiated, I guess, but if it actually works, just create a differentiated product. So, but it's just log it's that it's, you can debate that kind of aspect of it, but I hear what you're saying, just get rid of it and make it simpler. Um, the impact of machine learning is Dave is one came out clear on this, uh, SageMaker clarify announcement, which is a bias decision algorithm. They had an expert, uh, nationally CFUs presented essentially how they're dealing with the, the, the bias piece of it. I thought that was very interesting. What'd you think? >>Well, so humans are biased and so humans build models or models are inherently biased. And so I thought it was, you know, this is a huge problem to big problems in artificial intelligence. One is the inherent bias in the models. And the second is the lack of transparency that, you know, they call it the black box problem, like, okay, I know there was an answer there, but how did it get to that answer and how do I trace it back? Uh, and so Amazon is really trying to attack those, uh, with, with, with clarify. I wasn't sure if it was clarity or clarified, I think it's clarity clarify, um, a lot of entirely certain how it works. So we really have to dig more into that, but it's essentially identifying situations where there is bias flagging those, and then, you know, I believe making recommendations as to how it can be stamped. >>Nope. Yeah. And also some other news deep profiling for debugger. So you could make a debugger, which is a deep profile on neural network training, um, which is very cool again on that same theme of profiling. The other thing that I found >>That remind me, John, if I may interrupt there reminded me of like grammar corrections and, you know, when you're typing, it's like, you know, bug code corrections and automated debugging, try this. >>It wasn't like a better debugger come on. We, first of all, it should be bug free code, but, um, you know, there's always biases of the data is critical. Um, the other news I thought was interesting and then Amazon's claiming this is the first SageMaker pipelines for purpose-built CIC D uh, for machine learning, bringing machine learning into a developer construct. And I think this started bringing in this idea of the edge manager where you have, you know, and they call it the about machine, uh, uh, SageMaker store storing your functions of this idea of managing and monitoring machine learning modules effectively is on the edge. And, and through the development process is interesting and really targeting that developer, Dave, >>Yeah, applying CIC D to the machine learning and machine intelligence has always been very challenging because again, there's so many piece parts. And so, you know, I said it the other day, it's like a lot of the innovations that Amazon comes out with are things that have problems that have come up given the pace of innovation that they're putting forth. And, and it's like the customers drinking from a fire hose. We've talked about this at previous reinvents and the, and the customers keep up with the pace of Amazon. So I see this as Amazon trying to reduce friction, you know, across its entire stack. Most, for example, >>Let me lay it out. A slide ahead, build machine learning, gurus developers, and then database and data analysts, clearly database developers and data analysts are on their radar. This is not the first time we've heard that. But we, as the kind of it is the first time we're starting to see products materialized where you have machine learning for databases, data warehouse, and data lakes, and then BI tools. So again, three different segments, the databases, the data warehouse and data lakes, and then the BI tools, three areas of machine learning, innovation, where you're seeing some product news, your, your take on this natural evolution. >>Well, well, it's what I'm saying up front is that the good news for, for, for our customers is you don't have to be a Google or Amazon or Facebook to be a super expert at AI. Uh, companies like Amazon are going to be providing products that you can then apply to your business. And, and it's allowed you to infuse AI across your entire application portfolio. Amazon Redshift ML was another, um, example of them, abstracting complexity. They're taking, they're taking S3 Redshift and SageMaker complexity and abstracting that and presenting it to the data analysts. So that, that, that individual can worry about, you know, again, getting to the insights, it's injecting ML into the database much in the same way, frankly, the big query has done that. And so that's a huge, huge positive. When you talk to customers, they, they love the fact that when, when ML can be embedded into the, into the database and it simplifies, uh, that, that all that, uh, uh, uh, complexity, they absolutely love it because they can focus on more important things. >>Clearly I'm this tenant, and this is part of the keynote. They were laying out all their announcements, quick excitement and ML insights out of the box, quick, quick site cue available in preview all the announcements. And then they moved on to the next, the fourth tenant day solving real problems end to end, kind of reminds me of the theme we heard at Dell technology worlds last year end to end it. So we are starting to see the, the, the land grab my opinion, Amazon really going after, beyond I, as in pass, they talked about contact content, contact centers, Kendra, uh, lookout for metrics, and that'll maintain men. Then Matt would came on, talk about all the massive disruption on the, in the industries. And he said, literally machine learning will disrupt every industry. They spent a lot of time on that and they went into the computer vision at the edge, which I'm a big fan of. I just loved that product. Clearly, every innovation, I mean, every vertical Dave is up for grabs. That's the key. Dr. Matt would message. >>Yeah. I mean, I totally agree. I mean, I see that machine intelligence as a top layer of, you know, the S the stack. And as I said, it's going to be infused into all areas. It's not some kind of separate thing, you know, like, Coobernetti's, we think it's some separate thing. It's not, it's going to be embedded everywhere. And I really like Amazon's edge strategy. It's this, you, you are the first to sort of write about it and your keynote preview, Andy Jassy said, we see, we see, we want to bring AWS to the edge. And we see data center as just another edge node. And so what they're doing is they're bringing SDKs. They've got a package of sensors. They're bringing appliances. I've said many, many times the developers are going to be, you know, the linchpin to the edge. And so Amazon is bringing its entire, you know, data plane is control plane, it's API APIs to the edge and giving builders or slash developers, the ability to innovate. And I really liked the strategy versus, Hey, here's a box it's, it's got an x86 processor inside on a, throw it over the edge, give it a cool name that has edge in it. And here you go, >>That sounds call it hyper edge. You know, I mean, the thing that's true is the data aspect at the edge. I mean, everything's got a database data warehouse and data lakes are involved in everything. And then, and some sort of BI or tools to get the data and work with the data or the data analyst, data feeds, machine learning, critical piece to all this, Dave, I mean, this is like databases used to be boring, like boring field. Like, you know, if you were a database, I have a degree in a database design, one of my degrees who do science degrees back then no one really cared. If you were a database person. Now it's like, man data, everything. This is a whole new field. This is an opportunity. But also, I mean, are there enough people out there to do all this? >>Well, it's a great point. And I think this is why Amazon is trying to extract some of the abstract. Some of the complexity I sat in on a private session around databases today and listened to a number of customers. And I will say this, you know, some of it I think was NDA. So I can't, I can't say too much, but I will say this Amazon's philosophy of the database. And you address this in your conversation with Andy Jassy across its entire portfolio is to have really, really fine grain access to the deep level API APIs across all their services. And he said, he said this to you. We don't necessarily want to be the abstraction layer per se, because when the market changes, that's harder for us to change. We want to have that fine-grained access. And so you're seeing that with database, whether it's, you know, no sequel, sequel, you know, the, the Aurora the different flavors of Aurora dynamo, DV, uh, red shift, uh, you know, already S on and on and on. There's just a number of data stores. And you're seeing, for instance, Oracle take a completely different approach. Yes, they have my SQL cause they know got that with the sun acquisition. But, but this is they're really about put, is putting as much capability into a single database as possible. Oh, you only need one database only different philosophy. >>Yeah. And then obviously a health Lake. And then that was pretty much the end of the, the announcements big impact to health care. Again, the theme of horizontal data, vertical specialization with data science and software playing out in real time. >>Yeah. Well, so I have asked this question many times in the cube, when is it that machines will be able to make better diagnoses than doctors and you know, that day is coming. If it's not here, uh, you know, I think helped like is really interesting. I've got an interview later on with one of the practitioners in that space. And so, you know, healthcare is something that is an industry that's ripe for disruption. It really hasn't been disruption disrupted. It's a very high, high risk obviously industry. Uh, but look at healthcare as we all know, it's too expensive. It's too slow. It's too cumbersome. It's too long sometimes to get to a diagnosis or be seen, Amazon's trying to attack with its partners, all of those problems. >>Well, Dave, let's, let's summarize our take on Amazon keynote with machine learning, I'll say pretty historic in the sense that there was so much content in first keynote last year with Andy Jassy, he spent like 75 minutes. He told me on machine learning, they had to kind of create their own category Swami, who we interviewed many times on the cube was awesome. But a lot of still a lot more stuff, more, 215 announcements this year, machine learning more capabilities than ever before. Um, moving faster, solving real problems, targeting the builders, um, fraud platform set of things is the Amazon cadence. What's your analysis of the keynote? >>Well, so I think a couple of things, one is, you know, we've said for a while now that the new innovation cocktail is cloud plus data, plus AI, it's really data machine intelligence or AI applied to that data. And the scale at cloud Amazon Naylor obviously has nailed the cloud infrastructure. It's got the data. That's why database is so important and it's gotta be a leader in machine intelligence. And you're seeing this in the, in the spending data, you know, with our partner ETR, you see that, uh, that AI and ML in terms of spending momentum is, is at the highest or, or at the highest, along with automation, uh, and containers. And so in. Why is that? It's because everybody is trying to infuse AI into their application portfolios. They're trying to automate as much as possible. They're trying to get insights that, that the systems can take action on. >>And, and, and actually it's really augmented intelligence in a big way, but, but really driving insights, speeding that time to insight and Amazon, they have to be a leader there that it's Amazon it's, it's, it's Google, it's the Facebook's, it's obviously Microsoft, you know, IBM's Tron trying to get in there. They were kind of first with, with Watson, but with they're far behind, I think, uh, the, the hyper hyper scale guys. Uh, but, but I guess like the key point is you're going to be buying this. Most companies are going to be buying this, not building it. And that's good news for organizations. >>Yeah. I mean, you get 80% there with the product. Why not go that way? The alternative is try to find some machine learning people to build it. They're hard to find. Um, so the seeing the scale of kind of replicating machine learning expertise with SageMaker, then ultimately into databases and tools, and then ultimately built into applications. I think, you know, this is the thing that I think they, my opinion is that Amazon continues to move up the stack, uh, with their capabilities. And I think machine learning is interesting because it's a whole new set of it's kind of its own little monster building block. That's just not one thing it's going to be super important. I think it's going to have an impact on the startup scene and innovation is going, gonna have an impact on incumbent companies that are currently leaders that are under threat from new entrance entering the business. >>So I think it's going to be a very entrepreneurial opportunity. And I think it's going to be interesting to see is how machine learning plays that role. Is it a defining feature that's core to the intellectual property, or is it enabling new intellectual property? So to me, I just don't see how that's going to fall yet. I would bet that today intellectual property will be built on top of Amazon's machine learning, where the new algorithms and the new things will be built separately. If you compete head to head with that scale, you could be on the wrong side of history. Again, this is a bet that the startups and the venture capitals will have to make is who's going to end up being on the right wave here. Because if you make the wrong design choice, you can have a very complex environment with IOT or whatever your app serving. If you can narrow it down and get a wedge in the marketplace, if you're a company, um, I think that's going to be an advantage. This could be great just to see how the impact of the ecosystem this will be. >>Well, I think something you said just now it gives a clue. You talked about, you know, the, the difficulty of finding the skills. And I think that's a big part of what Amazon and others who were innovating in machine learning are trying to do is the gap between those that are qualified to actually do this stuff. The data scientists, the quality engineers, the data engineers, et cetera. And so companies, you know, the last 10 years went out and tried to hire these people. They couldn't find them, they tried to train them. So it's taking too long. And now that I think they're looking toward machine intelligence to really solve that problem, because that scales, as we, as we know, outsourcing to services companies and just, you know, hardcore heavy lifting, does it doesn't scale that well, >>Well, you know what, give me some machine learning, give it to me faster. I want to take the 80% there and allow us to build certainly on the media cloud and the cube virtual that we're doing. Again, every vertical is going to impact a Dave. Great to see you, uh, great stuff. So far week two. So, you know, we're cube live, we're live covering the keynotes tomorrow. We'll be covering the keynotes for the public sector day. That should be chock-full action. That environment is going to impact the most by COVID a lot of innovation, a lot of coverage. I'm John Ferrari. And with Dave Alante, thanks for watching.
SUMMARY :
It's the cube with digital coverage of Welcome back to the cubes. people build data products and data services that can monetize, you know, And you saw that today in today's And to the expansion of the personas that And you mentioned training and, and a lot of times people are starting from scratch when That means that the majority of most machine learning development and deep learning is happening Yeah, cloud-based, by the way, just to clarify, that's the 90% of cloud-based cloud, And then, you know, just true, you know, and, and specialized just, we've been talking about this for awhile, particularly as you get to the edge and do And I think here you lays out the complexity, It was interesting to see they had the spectrum of the helmets that were, you know, the safest, some of that could be like, you know, Julian Edelman popping up off the ground. And I think that's, again, a digital transformation sign that, that, you know, And you can say, you got to give him, give him props for that. And next step, after the NFL, they had this data prep data Wrangler news, that they're now integrating And today you want to combine that batch. Expand on that more. you know, movies, or you want to add podcasts and you want to start monetizing that you want to, And then at the other end, you know, it comes to self-serve capability that somebody you can debate that kind of aspect of it, but I hear what you're saying, just get rid of it and make it simpler. And so I thought it was, you know, this is a huge problem to big problems in artificial So you could make a debugger, you know, when you're typing, it's like, you know, bug code corrections and automated in this idea of the edge manager where you have, you know, and they call it the about machine, And so, you know, I said it the other day, it's like a lot of the innovations materialized where you have machine learning for databases, data warehouse, Uh, companies like Amazon are going to be providing products that you can then apply to your business. And then they moved on to the next, many, many times the developers are going to be, you know, the linchpin to the edge. Like, you know, if you were a database, I have a degree in a database design, one of my degrees who do science And I will say this, you know, some of it I think was NDA. And then that was pretty much the end of the, the announcements big impact And so, you know, healthcare is something that is an industry that's ripe for disruption. I'll say pretty historic in the sense that there was so much content in first keynote last year with Well, so I think a couple of things, one is, you know, we've said for a while now that the new innovation it's, it's, it's Google, it's the Facebook's, it's obviously Microsoft, you know, I think, you know, this is the thing that I think they, my opinion is that Amazon And I think it's going to be interesting to see is how machine And so companies, you know, the last 10 years went out and tried to hire these people. So, you know, we're cube live, we're live covering the keynotes tomorrow.
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Day 3 Keynote Analysis | AWS re:Invent 2020 Partner Network Day
>>From around the globe. It's the queue with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS, and our community partners. >>Hello, and welcome back to the cube live coverage of reinvent 2020 virtual. We're not there this year. It's the cube virtual. We are the cube virtual. I'm your host, John fro with Dave Alante and analyzing our take on the partner day. Um, keynotes and leadership sessions today was AWS APN, which is Amazon partner network global partner network day, where all the content being featured today is all about the partners and what Amazon is doing to create an ecosystem, build the ecosystem, nurture the ecosystem and reinvent what it means to be a partner. Dave, thanks for joining me today on the analysis of Amazon's ecosystem and partner network and a great stuff today. Thanks for coming on. >>Yeah, you're welcome. I mean, watch the keynote this morning. I mean, partners are critical to AWS. Look, the fact is that when, when AWS was launched, it was the developers ate it up. You know, if you're a developer, you dive right in infrastructure is code beautiful. You know, if you're mainstream it, this thing's just got more complex with the cloud. And so there's, there's a big gap right between how I, where I am today and where I want to be. And partners are critical to help helping people get there. And we'll talk about the details of specifically what Amazon did, but I mean, especially when John, when you look at things like smaller outposts, you know, going hybrid, Andy Jassy redefining hybrid, you need partners to really help you plan design, implement, manage at scale. >>Yeah. You know, one of the things I'm always, um, you know, saying nice things about Amazon, but one of the things that they're vulnerable on in my opinion is how they balanced their own SAS offerings and with what they develop in the ecosystem. This has been a constant, um, challenge and, and they've balanced it very well. Um, so other vendors, they are very clear. They make their own software, right. And they have a channel and it's kind of the old playbook. Amazon's got to reinvent the playbook here. And I think that's, what's key today on stage Doug Yom. He's the, uh, the leader you had, um, also Dave McCann who heads up marketplace and Sandy Carter who heads up worldwide public sector partners. So Dave interesting combination of three different teams, you had the classic ISV partners in the ecosystem, the cohesiveness of the world, the EMCs and so on, you had the marketplace with Dave McCann. That's where the future of procurement is. That's where people are buying product and you had public sector, huge tsunami of innovation happening because of the pandemic and Sandy is highlighting their partners. So it's partner day it's partner ecosystem, but multiple elements. They're moving marketplace where you buy programs and competencies with public sector and then ISV, all of those three areas are changing. Um, I want to get your take because you've been following ecosystems years and you've been close to the enterprise and how they buy your, >>And I think, I think John, Oh, a couple of things. One is, you know, Dave McCann was talking a lot about how CIO is one of modernize applications and they have to rationalize, and it will save some of that talk for later on, you know, Tim prophet on. But there's no question that Amazon's out to reinvent, as you said, uh, the whole experience from procurement all the way through, and, you know, normally you had to, to acquire services outside of the marketplace. And now what they're doing is bundling the services and software together. You know, it's straightforward services, implementation services, but those are well understood. The processes are known. You can pretty much size them and price them. So I think that's a huge opportunity for partners and customers to reduce friction. I think the other thing I would say is ecosystems are, are critical. >>Uh, one of the themes that we've been talking about in the cube as we've gone from a product centric world in the old days of it to a platform centric world, which has really been the last decade has been about SAS platforms and cloud platforms. And I think ecosystems are going to be a really power, the new innovation in the coming decade. And what I mean by that is look, if you're just building a service and Amazon is going to do that same service, you know, you got to keep innovating. And one of the ways you can innovate is you can build on ecosystems. There's all this data within industries, across industries, and you can through the partner network and through customer networks within industry start building new innovation around ecosystems and partners or that glue, Amazon's not going to go in. And like Jandy Jesse even said in the, uh, in his fireside chat, you know, customers will ask us for our advice and we're happy to give it to them, but frankly partners are better at that nitty gritty hardcore stuff. They have closer relationships with the customers. And so that's a really important gap that Amazon has been closing for the last, you know, frankly 10 years. And I think that to your point, they've still got a long way to go, but that's a huge opportunity in that. >>A good call out on any Jess, I've got to mention that one of the highlights of today's keynote was on a scheduled, um, Andy Jassy fireside chat. Uh, normally Andy does his keynote and then he kind of talks to customers and does his thing normally at a normal re-invent this time he came out on stage. And I think what I found interesting was he was talking about this builder. You always use the word builder customer, um, solutions. And I think one of the things that's interesting about this partner network is, is that I think there's a huge opportunity for companies to be customer centric and build on top of Amazon. And what I mean by that is, is that Amazon is pretty cool with you doing things on top of their platform that does two things serves the customer's needs better than they do, and they can make more money on and other services look at snowflake as an example, um, that's a company built on AWS. I know they've got other clouds going on, but mainly Amazon Zoom's the same way. They're doing a great solution. They've got Redshift, Amazon, Amazon's got Redshift, Dave, but also they're a customer and a partner. So this is the dynamic. If you can be successful on Amazon serving customers better than Amazon does, that's the growth hack. That's the hack on Amazon's partner network. If you could. >>I think, I think Snowflake's a really good example. You snowflake you use new Relic as an example, I've heard Andy Jess in the past use cloud air as an example, I like snowflake better because they're, they're sort of thriving. And so, but, but I will say this there's a, they're a great example of that ecosystem that we just talked about because yes, not only are they building on AWS, they're connecting to other clouds and that is an ecosystem that they're building out. And Amazon's got a lot of snowflake, I guess, unless you're the Redshift team, but, but generally speaking, Snowflake's driving a lot of business for Amazon and Andy Jesse addressed that in that, uh, in that fireside chat, he's asked that question a lot. And he said, look, we, we, we have our primary services. And at the same time we want to enable our partners to be successful. And snowflake is a really good example of that. >>Yeah. I want to call out also, uh, yesterday. Um, I had our Monday, I should say Tuesday, December 1st, uh, Jesse's keynote. I did an interview with Jerry chin with gray lock. He's investing in startups and one of the things he observed and he pointed out Dave, is that with Amazon, if you're, if you're a full all-in in the cloud, you're going to take advantage of things that are just not available on say on premises that is data patterns, other integrations. And I think one of the things that Doug pointed out was with interoperability and integration with say things like the SAS factor that they put out there there's advantages for being in the cloud specifically with Amazon, that you can get on integrations. And I think Dave McCann teases that out with the marketplace when they talk about integrations. But the idea of being in the cloud with all these other partners makes integration and interoperability different and unique and better potentially a differentiator. This is going to become a huge deal. >>I didn't pick up on that because yesterday I thought I wasn't in the keynote. I think it was in the analyst one-on-one with, with Jesse, he talked about, you know, this notion that people, I think he was addressing multi-cloud he didn't use that term, but this notion of an abstraction layer and how it does simplify things in, in his basic, he basically said, look, our philosophy is we want to have, you know, the, the ability to go deep with the primitives and have that fine grain access, because that will give us control. A lot of times when you put in this abstraction layer, which people are trying to do across clouds, you know, it limits your ability to really move fast. And then of course it's big theme is, is this year, at the same time, if you look at a company who was called out today, like, like Octa, you know, when you do an identity management and single sign-on, you're, you're touching a lot of pieces, there's a lot of integration to your point. >>So you need partners to come in and be that glue that does a lot of that heavy lifting that needs to needs to be done. Amazon. What Jessie was essentially saying, I think to the partner network is, look, we're not going to put in that abstraction layer. You're going to you, you got to do that. We're going to do stuff maybe between our own own services like they did with the, you know, the glue between databases, but generally speaking, that's a giant white space for partner organizations. He mentioned Okta. He been talked about in for apt Aptio. This was Dave McCann, actually Cohesity came up a confluent doing fully managed Kafka. So that to me was a signal to the partners. Look, here's where you guys should be playing. This is what customers need. And this is where we're not going to, you know, eat your lunch. >>Yeah. And the other thing McCann pointed out was 200 new Dave McCann pointed out who leads these leader of the, of the marketplace. He pointed out 200 new ISP. ISV is out there, huge news, and they're going to turn already. He went, he talked with his manage entitlements, which got my attention. And this is kind of an, um, kind of one of those advantage points that it's kind of not sexy and mainstream to talk about, but it's really one of those details. That's the heavy lifting. That's a pain in the butt to deal with licensing and tracking all this compliance stuff that goes on under the covers and distribution of software. I think that's where the cloud could be really advantaged. And also the app service catalog registry that he talked about and the professional services. So these are areas that Amazon is going to kind of create automation around. >>And as Jassy always talks about that undifferentiated heavy lifting, they're going to take care of some of these plumbing issues. And I think you're right about this differentiation because if I'm a partner and I could build on top of Amazon and have my own cloud, I mean, let's face it. Snowflake is a born in the cloud, in the cloud only solution on Amazon. So they're essentially Amazon's cloud. So I think the thing that's not being talked about this year, that is probably my come up in future reinvents is that whoever can build their own cloud on top of Amazon's cloud will be a winner. And I, I talked about this years ago, data around this tier two, I call it tier two clouds. This new layer of cloud service provider is going to be kind of the, on the power law, the, the second wave of cloud. >>In other words, you're on top of Amazon differentiating with a modern application at scale inside the cloud with all the other people in there, a whole new ecosystem is going to emerge. And to me, I think this is something that is not yet baked out, but if I was a partner, I would be out there planning like hell right now to say, I'm going to build a cloud business on Amazon. I'm going to take advantage of the relationships and the heavy lifting and compete and win that way. I think that's a re redefining moment. And I think whoever does that will win >>And a big theme around reinventing everything, reinvent the industry. And one of the areas that's being reinvented as is the, you know, the VAR channel really well, consultancies, you know, smaller size for years, these companies made a ton of dough selling boxes, right? All the, all the Dell and the IBM and the EMC resellers, you know, they get big boats and big houses, but that business changed dramatically. They had to shift toward value, value, value add. So what did they do? They became VMware specialists. They came became SAP specialists. There's a couple of examples, maybe, you know, adding into security. The cloud was freaking them out, but the cloud is really an opportunity for them. And I'll give you an example. We've talked a lot about snowflake. The other is AWS glue elastic views. That's what the AWS announced to connect all their databases together. Think about a consultancy that is able to come in and totally rearchitect your big data life cycle and pipeline with the people, the processes, the skillsets, you know, Amazon's not going to do that work, but the upside value for the organizations is tremendous. So you're seeing consultancies becoming managed service providers and adding all kinds of value throughout the stack. That's really reinvention of the partnership. >>Yeah. I think it's a complete, um, channel strategy. That's different. It doesn't, it looks like other channels, but it's not, it's, it's, it's driven by value. And I think this idea of competing on value versus just being kind of a commodity play is shifting. I think the ISV and the VARs, those traditional markets, David, as you pointed out, are going to definitely go value oriented. And you can just own a specialty area because as data comes in and when, and this is interesting. And one of the key things that Andy Jassy said in his fireside chat want to ask directly, how do partners benefit when asked about his keynote, how that would translate to partners. He really kind of went in and he was kind of rambling, but he, he, he hit the chips. He said, well, we've got our own chips, which means compute. Then he went into purpose-built data store and data Lake data, elastic views SageMaker Q and QuickSight. He kind of went down the road of, we have the horsepower, we have the data Lake data, data, data. So he was kind of hinting at innovate on the data and you'll do okay. >>Well, and this is again, we kind of, I'm like a snowflake fan boy, you know, in the way you, you like AWS. But look, if you look at AWS glue elastic views, that to me is like snowflakes data cloud is different, a lot of pushing and moving a date, a lot of copying data. But, but this is a great example of where like, remember last year at reinvent, they said, Hey, we're separating compute from storage. Well, you know, of course, snowflake popularized that. So this is great example of two companies thriving that are both competitors and partners. >>Well, I've got to ask you, you know, you, you and I always say we kind of his stories, we've been around the block on the enterprise for years. Um, where do you Mark the, um, evolution of their partner? Because again, Amazon has been so explosive in their growth. The numbers have been off the charts and they've done it well with and pass. And now you have the pandemic which kind of puts on full display, digital transformation. And then Jassy telegraphing that the digital global it spend is their next kind of conquering ground, um, to take, and they got the edge exploding with 5g. So you have this kind of range and they doing all kinds of stuff with IOT, and they're doing stuff in you on earth and in space. So you have this huge growth and they still don't have their own fully oriented business model. They rely on people to build on top of Amazon. So how do you see that evolving in your opinion? Because they're trying to add their own Amazon only, we've got Redshift that competes with others. How do you see that playing out? >>So I think it's going to be specialized and, and something that, uh, that I've talked about is Amazon, you know, AWS in the old day, old days being last decade, they really weren't that solution focused. It was really, you know, serving the builders with tooling, with you, look at something like what they're doing in the call center and what they're doing at the edge and IOT there. I think they're, so I think their move up the stack is going to be very solution oriented, but not necessarily, you know, horizontal going after CRM or going after, you know, uh, supply chain management or ERP. I don't think that's going to be their play. I think their play is going to be to really focus on hard problems that they can automate through their tooling and bring special advantage. And that's what they'll SAS. And at the same time, they'll obviously allow SAS players. >>It's just reminds me of the early days when you and I first met, uh, VMware. Everybody had to work with VMware because they had a such big ecosystem. Well, the SAS players will run on top. Like Workday does like Salesforce does Infour et cetera. And then I think you and I, and Jerry Chen talked about this years ago, I think they're going to give tools to builders, to disrupt the service now is in the sales forces who are out buying companies like crazy to try to get a, you know, half, half a billion dollar, half a trillion dollar market caps. And that is a really interesting dynamic. And I think right now, they're, they're not even having to walk a fine line. I think the lines are reasonably clear. We're going up to database, we're going to do specialized solutions. We're going to enable SAS. We're going to compete where we compete, come on, partner ecosystem. And >>Yeah, I, I, I think that, you know, the Slack being bought by Salesforce is just going to be one of those. I think it's a web van moment, you know, um, you know, where it's like, okay, Slack is going to go die on Salesforce. Okay. I get that. Um, but it's, it's just, it's just, it's just, it's just old school thinking. And I think if you're an entrepreneur and if you're a developer or a partner, you could really reinvent the business model because if you're, dis-aggregating all these other services like you can compete with Salesforce, Slack has now taken out of the game with Salesforce, but what Amazon is doing with say connect, which they're promoting heavily at this conference. I mean, you hear it, you heard it on Andy Jessie's keynote, Sandy Carter. They've had huge success with AWS connect. It's a call center mindset, but it's not calling just on phones. >>It's contact that is descent, intermediating, the Salesforce model. And I think when you start getting into specialists and specialism in channels, you have customer opportunity to be valuable. And I think call center, these kinds of stories that you can stand up pretty quickly and then integrate into a business model is going to be game changing. And I think that's going to going to a lot of threat on these big incumbents, like Salesforce, like Slack, because let's face it. Bots is just the chat bot is just a call center front end. You can innovate on the audio, the transcriptions there's so much Amazon goodness there, that connect. Isn't just a call center that could level the playing field and every vertical >>Well, and SAS is getting disrupted, you know, to your, to your point. I mean, you think about what happened with, with Oracle and SAP. You had, you know, these new emerging players come up like, like Salesforce, like Workday, like service now, but their pricing model, it was all the same. We lock you in for a one-year two-year three-year term. A lot of times you have to pay up front. Now you look at guys like Datadog. Uh, you, you look at a snowflake, you look at elastic, they're disrupting the Splunks of the world. And that model, I think that SAS model is right for disruption with a consumption pricing, a true cloud pricing model. You combine that with new innovation that developers are going to attack. I mean, you know, people right now, they complain about service now pricing, they complain about Splunk pricing. They, you know, they talk about, Oh, elastic. We can get that for half the price Datadog. And so I'm not predicting that those companies service now Workday, the great companies, but they are going to have to respond much in the same way that Oracle and SAP had to respond to the disruption that they saw. >>Yeah. It's interesting. During the keynote, they'll talk about going out to the mainframes today, too. So you have Amazon going into Oracle and Microsoft, and now the mainframes. So you have Oracle database and SQL server and windows server all going to being old school technologies. And now mainframe very interesting. And I think the, this whole idea of this SAS factory, um, got my attention to Cohesity, which we've been covering Dave on the storage front, uh, Mo with the founder was on stage. I'm a data management as a service they're part of this new SAS factory thing that Amazon has. And what they talk about here is they're trying to turn ISV and VARs into full-on SAS providers. And I think if they get that right with the SAS factory, um, then that's going to be potentially game changing. And I'm gonna look at to see if what the successes are there, because if Amazon can create more SAS applications, then their Tam and the global it market is there is going to, it can be mopped up pretty quickly, but they got to enable it. They got to enable that quickly. Yeah. >>Enabling to me means not just, and I think, you know, when Jesse answered your question, I saw it in the article that you wrote about, you know, you asked them about multi-cloud and it, to me, it's not about running on AWS and being compatible with Azure and being compatible with Google. No, it's about that frankly abstraction layer that he talked about, and that's what Cohesity is trying to do. You see others trying to do it as well? Snowflake for sure. It's about abstracting that complexity away and adding value on top of the cloud. In other words, you're using the cloud for scale being really expert at taking advantage of the native cloud services, which requires is that Jessie was saying different API APIs, different control, plane, different data plane, but taking that complexity away and then adding new value on top that's white space for a lot of players there. And, and, and I'll tell you, it's not trivial. It takes a lot of R and D and it takes really smart people. And that's, what's going to be really interesting to see, shake out is, you know, can the Dell and HPE, can they go fast enough to compete with the, the Cohesity's you've got guys like CLU Mayo coming in that are, that are brand new. Obviously we talked about snowflake a lot and many others. >>I think there's going to be a huge change in expectations, experience, huge opportunity for people to come in with unique solutions. We're going to have specialty programming on the cube all day today. So if you're watching us here on the Amazon channel, you know that we're going to have an all of a sudden demand. There's a little link on our page. On the, on the, um, the Amazon reinvent virtual event platform, click here, the bottom, it's going to be a landing page, check out all the interviews as we roll them out all day. We got a great lineup, Dave, we got Nutanix pure storage, big ID, BMC, Amazon leaders, all coming in to talk today. Uh, chaos search ed Walsh, Rachel Rose, uh, Medicar Kumar, um, Mike Gill, flux, tons of great, great, uh, partners coming in and they're going to share their story and what's working for them and their new strategies. And all throughout the day, you're going to hear specific examples of how people are changing and reinventing their business development, their partnership strategies on the product, and go to market with Amazon. So really interesting learnings. We're going to have great conversations all throughout the day. So check it out. And again, everything's going to be on demand. And when in doubt, go to the cube.net, we have everything there and Silicon angle.com, uh, for all the great coverage. So >>I don't think John is, we're going to have a conversation with him. David McCann touched on this. You talked about the need for modernization and rationalization, Tim Crawford on, on later. And th this is, this is sort of the, the, uh, the call-out that Andy Jassy made in his keynote. He gave the story of that one. CIO is a good friend of his who said, Hey, I love what you're doing, but it's not going to happen on my watch. And, and so, you know, Jessie's sort of poking at that, that, uh, complacency saying, guys, you have to reinvent, you have to go fast, you have to keep moving. And so we're gonna talk a little bit about what, what does that mean to modernize applications, why the CIO is want to rationalize what is the role of AWS and its ecosystem and providing that, that, that level of innovation, and really try to understand what the next five to seven years are gonna look like in that regard. >>Funny, you mentioned, uh, Andy Jesuit that story. When I had my one-on-one conversation with them, uh, he was kind of talking about that anonymous CIO and I, if people don't know Andy, he's a big movie buff, too, right? He loves it goes to Sundance every year. Um, so I said to him, I said, this error of digital transformation, uh, is kind of like that scene in the godfather, Dave, where, um, Michael Corleone goes to Tom Hagen, Tom, you're not a wartime conciliary. And what he meant by that was is that, you know, they were going to war with the other five families. I think now I think this is what chassis pointed out is that, that this is such an interesting, important time in history. And he pointed this out. If you don't have the leadership chops to lean into this, you're going to get swept away. >>And that story about the CIO being complacent. Yeah. He didn't want to shift. And the new guy came in or gal and they, and they, and they lost three years, three years of innovation. And the time loss, you can't get that back. And during this time, I think you have to have the stomach for the digital transformation. You have to have the fortitude to go forward and face the truth. And the truth is you got to learn new stuff. So the old way of doing things, and he pointed that out very aggressively. And I think for the partners, that same thing is true. You got to look in the mirror and say, where are we? What's the opportunity. And you gotta gotta go there. If not, you can wait, be swept away, be driftwood as Pat Gelsinger would say, or lean in and pick up a, pick up a shovel and start digging the new solution. >>You know what the other interesting thing, I mean, every year when you listen to Jassy and his keynotes and you sort of experienced re-invent culture comes through and John you're live in Silicon Valley, you talked to leaders of Silicon Valley, you know, well, what's the secret of success though? Nine times out of 10, they'll talk about culture, maybe 10 times out of 10. And, and, and so that's, that comes through in Jesse's keynotes. But one of the things that was interesting this year, and it's been thematic, you know, Andy, you know, repetition is important, uh, to, to him because he wants to educate people and make sure it sticks. One of the things that's really been he's been focused on is you actually can change your culture. And there's a lot of inertia. People say, well, not on my watch. Well, it doesn't work that way around here. >>And then he'll share stories about how AWS encourages people to write papers. Anybody in the organization say we should do it differently. And, and you know, they have to follow their protocol and work backwards and all of those stuff. But I believe him when he says that they're open to what you have a great example today. He said, look, if somebody says, well, it's 10 feet and somebody else says, well, it's, it's five feet. He said, okay, let's compromise and say it's seven and a half feet. Well, we know it's not seven and a half feet. We don't want to compromise. We either want to be a 10, Oh, we want to be at five, which is the right answer. And they push that. And that that's, he gives examples like that for the AWS culture, the working backwards, the frequently asked questions, documents, and he's always pushing. And that to me is very, very important and fundamental to understanding AWS. >>It's no doubt that Andy Jassy is the best CEO in the business. These days. If you look at him compared to everyone else, he's hands down, more humble as keynote who does three hour keynotes, the way he does with no notes with no, he memorize it all. So he's competitive and he's open. And he's a good leader. I think he's a great CEO. And I think it will be written and then looked back at his story this time in history. The next, I think post COVID Dave is going to be an error. We're going to look back and say the digital transformation was accelerated. Yes, all that good stuff, people process technology. But I think we're gonna look at this time, this year and saying, this was the year that there was before COVID and after COVID and the people who change and modernize will build the winners and not, and the losers will, will be sitting still. So I think it's important. I think that was a great message by him. So great stuff. All right. We gotta leave it there. Dave, the analysis we're going to be back within the power panel. Two sessions from now, stay with us. We've got another great guest coming on next. And then we have a pair of lb talk about the marketplace pricing and how enterprises have CIO is going to be consuming the cloud in their ecosystem. This is the cube. Thanks for watching..
SUMMARY :
It's the queue with digital coverage of create an ecosystem, build the ecosystem, nurture the ecosystem and reinvent what it means And partners are critical to help helping people get there. in the ecosystem, the cohesiveness of the world, the EMCs and so on, you had the marketplace you know, normally you had to, to acquire services outside of the marketplace. And one of the ways you can innovate is you can build on ecosystems. And I think one of the things that's interesting about this partner network is, And at the same time we And I think one of the things that Doug pointed out was with interoperability and integration And then of course it's big theme is, is this year, at the same time, if you look at a company We're going to do stuff maybe between our own own services like they did with the, you know, the glue between databases, That's a pain in the butt to deal with licensing And I think you're right about this differentiation because if I'm a partner and I could build on And I think whoever does that will win and the IBM and the EMC resellers, you know, they get big boats and big houses, And I think this idea of competing on value versus just being kind of a commodity play is you know, in the way you, you like AWS. And now you have the pandemic which kind I don't think that's going to be their play. And I think right now, they're, they're not even having to walk a fine line. I think it's a web van moment, you know, um, you know, where it's like, And I think call center, these kinds of stories that you can stand And that model, I think that SAS model is right for disruption with And I think if they get that right with I saw it in the article that you wrote about, you know, you asked them about multi-cloud and it, I think there's going to be a huge change in expectations, experience, huge opportunity for people to come in with And, and so, you know, Jessie's sort of poking at that, that, If you don't have the leadership chops to lean into this, you're going to get swept away. And the truth is you got to learn new stuff. One of the things that's really been he's been focused on is you And that that's, he gives examples like that for the AWS culture, the working backwards, And I think it will be written and then looked back at his story this time in history.
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Monica Kumar, Nutanix & Virginia Gambale, Azimuth Partners | Global .NEXT Digital Experience 2020
>> Narrator: From around the globe, it's theCUBE, with coverage of the Global .NEXT digital experience. Brought to you by Nutanix. >> Hi, I'm Stu Miniman. And welcome to theCUBE's coverage of the Nutanix .NEXT global digital experience. We've been at the Nutanix shows since the first time they ever happened, way back at the Fontainebleau, in Miami, of course. Nutanix is now a public company. A lot of news, a lot going on, and the first time they've done, first, a global event and digital event because this was the convergence of the events that they were originally going to have both in North America as well as Europe. So happy to welcome back to the program. To help kick it off, first of all, we have Monica Kumar, she's the Senior Vice President of Marketing with Nutanix. And also joining us is Virginia Gambale, she is a Managing Partner at Azimuth Partners LLC and also a board member of Nutanix. Virginia, Monica, thanks so much for joining us. >> Thank you so much for having us. >> Thank you, Stu. >> So the event here, of course, the line we've used at many of those shows is, how do we bring people together even while we're apart? Good energy, great speakers, everything from Dr. Condoleezza Rice and Simon Sinek, in the opening, in Trevor Noah for some entertainment in day two, and lots of announcements with partners, customers, of course, speaking, and lots of the Nutants. So, Monica, maybe I start with you. You've had a very a close role in helping to shape a lot of what's going on here. I kind of teed up. Give us, from your standpoint, really, kind of the goals, give us a little bit of insight into putting this together for an online audience versus the kind of party that we have for the users when they come together in-person. >> Yeah, thank you so much, Stu. And I'm so excited to have Virginia here with us as well. You know, obviously, the world is so different now. And one of the biggest things that we've been doing for the last six, seven months is figuring out how do we stay connected with our customers, with our partners, with our own employees, and society at large? So, along the same lines, .NEXT has evolved to, of course, also being a virtual event, but at the same time, the biggest design factor for .NEXT is really the connection with customers, partners, our own employees, and influencers, and society at large. So you'll see a lot of our agenda is designed around future of work and what does it mean to be a leader and a technology leader, a technology provider in this world while we are living through the pandemic. We're also talking about future of education, future of healthcare, future financial services, all the things that matter to us as human beings, and then what's the role that technology is going to play in that, and, of course, how can Nutanix as a technology vendor help our customers navigate these uncertain times. So that's how most of our content is on day-one. And then day-two is really all about the latest and greatest cool tech. And you're going to hear a lot about and you've heard a lot about cloud technology and cloud being that constant enabler of innovation for businesses and for IT. So all of our hybrid cloud, multicloud, our core hyperconverged infrastructure, and how that's evolving to hybrid cloud infrastructure, it's about platform as a service, DevOps, I mean, database solutions, and these are competing solutions, you name it. So that's going to be at day-two. And then day-three is a partner exchange. So, obviously, partners are really important to us. That's the village, the ecosystem. And we have a whole day dedicated to our partners in helping understand how can we together bring the best solutions to market. >> Virginia, I'd love to get your experience so far with the event that you've attended. >> Well, I always find that .NEXT experiences a very broadening, enriching experience. I tell people who have never heard of cloud, who are well in the cloud, who are wanting to just learn about it, just sort of standing at the precipice of embarking on this journey, to watch or participate or go to the .NEXT for Nutanix, because it is so rich with content and speakers that are so intelligent about an experience about what they are doing and embarking on. And then in addition to that, there's always a hint and a lookout at the future and where we are going and where we need to think about where we are going. So I am very excited. The first part of this virtual .NEXT, I didn't know what to expect, but I am extremely pleased. >> Well, yeah, Virginia, you bring up a really good point. It's not just the cool technology, and there's lots of that, but what, personally, how do I enrich myself, how do I reach my career, how do enrich my community, that heart that Nutanix talks a lot about. Monica, obviously cloud has been a very important piece of the discussion. I noticed a little bit of shift in marketing. For a couple of years, the enterprise cloud was the discussion. Dheeraj's teams is out, he said, "Okay, we're going to change HCI from hyperconverged infrastructure to hybrid cloud infrastructure." You and I had had a conversation when the announcement of Nutanix Clusters with AWS, and at the show, Scott Guthrie, of course, wearing the signature red polo, and deeper partnership with Microsoft for Azure. Definitely, lots of excitement around that because Microsoft is a company that most people partner with and work with and use their technologies. And things like Azure Arc have the real promise to help us live in this hybrid and multicloud world. So we'd love to just briefly touch on the cloud pieces, what you're seeing in the news from Nutanix's standpoint? >> Absolutely. So one of the big pieces of news that's come out of .NEXT is a partnership with Azure, and we are super-excited for that partnership. Not only is Nutanix Clusters going to be available on Azure and we are jointly developing that solution to bring hybrid cloud solution to customers, you rightfully mentioned Azure Arc, we are also working to integrate Azure Arc across on-premises and Azure cloud. So, ultimately, for us, it's really about technology being a means to an end. The end is business outcomes for our customers, the end is a better customer experience, better employee experience, growth for the company in terms of revenue and profitability. And ultimately, that's what technology is doing, is really simplifying the use of cloud technology and build that hybrid cloud fabric that customers can deploy very quickly, very easily, seamlessly, and then manage it very easily, oh, and by the way, also be able to move their apps and data and license across the on-premises and, in this case, Azure environment. So very excited. By the way, we don't just stop there. When you say cloud, and when we say hybrid cloud and multicloud, it's, of course, on-premises, it's, of course, the hyperscaler clouds, but then there are service provider clouds. Because in region, and then, by the way, I don't know if you heard Khaled Soudani, he's the CTO at SocGen, he joined us as well in one of the keynotes, and obviously, they are building hybrid clouds. And when we talk about hybrid cloud to customers, it's also service provider cloud, which could be for data locality, data residency regions. It's also Nutanix's own cloud, the Nutanix cloud. So that's definitely one of the big pieces of news coming out of .NEXT, is this morphing or I would say evolution of hyperconverged infrastructure to becoming the hybrid cloud infrastructure. >> Virginia, of course, the big discussion this year has been the impact of COVID and what that's meant to IT priorities, CIO priorities. In a lot of the conversations we've been having on theCUBE this year, there's been a real acceleration on a lot of those cloud initiatives that Monica was talking about. So what are you hearing? What are you seeing? What are some of those imperatives that are either accelerating or, and are there some things that people are saying, "Hey, we might want to put this on ice for a few months?" >> Well, I can tell you, from my work with clients, the many public boards that I sit on, which span from financial services, to pure tech, all the way through to consumer-facing businesses, I really see the spectrum. And three years ago, when I was on theCUBE, we were talking about standing at the precipice and jumping in. Now, we are full on, we are in it. And Monica talked about all these different public clouds and the various providers who are leading their own way. But what I love and I think it's really important is that we need an independent company that actually begins to step back and help all the leaders that are running technology and operations and customer-facing functions, to be able to help them do their job. So here we are today, talking to various CEOs and C-suite executives. And the big issues are, "Okay, this stuff isn't so scary, we are in it, we need it for being able to function in the COVID world, and we also need it because our customers need us to need this, to have it." So, when we look at our portfolio of how businesses are investing in technology and other areas going forward, innovation, cost management, and also cyber seemed to be sort of the three very important themes of the day. And I believe that, today, as we sit through the next few days with .NEXT, we are really going to find stories, experiences, and visions about how we can actually address all three of those. >> Yeah, I think the point, Virginia, you're making is so fantastic, that this is the age of innovation while organizations also have to focus on cost intelligence. And that's the number one thing we're hearing from our customers. I mean, like when you were talking, it just reminded me, in the old days and maybe even up to five years ago, and the CIOs were all about knowing technology knowhow and managing costs, and like it was a cost center. But now you look at IT, IT is at the forefront of driving innovation. IT is at the forefront of adopting cloud. But at the same time, IT is also tasked with being smart about cost optimization. So you're right, that's exactly what we're also going to discuss the .NEXT, is how can technology help our customers innovate and, at the same time, be intelligent about cost optimization and which cloud to use for which workloads, for example. >> Yes, and also having the flexibility and the optionality to be able to put these things together. >> Well, yeah, Monica, simplicity was always at the core of what Nutanix did. And talking about the hybrid cloud solutions, it's very important you talk about the fact that it's the same operational model wherever things lived. The one piece that you didn't cover yet, that Virginia teed up, cyber security. So, absolutely, we would need innovation, we need to look at costs, but security is something that went from, it was already at the top of the list, to, oh, my gosh, in 2020, it feels like it's even higher there. So how does Nutanix make sure that, Nutanix along with your partners are making sure that companies, their data, their employees are all secure as possible? >> Absolutely. You mentioned that simplicity is a design principle for Nutanix from day-one, add to that security, security has been a guiding light from day-one, and security is built into our platform. It's not an afterthought, it's something we designed our products to incorporate right from the beginning. And there's a reason for that. The reason is we have over 17,000 customers, and a lot of them are running big, huge enterprise business critical workloads on Nutanix, including public sector, including state and local governments. And we have to ensure that they are able to make the environment secure using Nutanix technology. So whether it's our core technology platform, where we have things built in like data encryption, audit capabilities, or whether it's some of our new portfolio products. Last time, I think, Stu, we talked about how Nutanix offers now this complete cloud platform. 10 years ago, we started with a core foundation, which is hyperconverged infrastructure. But in the last few years, we've added on data center services, like other storage, different types of storage, consolidation, ability for customers, networking options, DR, we've added DevOps and database services, we've added desktop services. If you combine all of those three together with our digital infrastructure services, that's a complete cloud platform that has to be secure for our customers to run enterprise apps on databases, analytics workloads, and also build cloud native applications and run on it, and be able to run the same stack in a public cloud or private on-premises cloud. That has to be secure, so that's the number one design principle for Nutanix. >> Virginia, if Dave Alante was here, he would probably throw out the line that security has really become a board-level discussion. Well, you sit on a few boards, so I'd love to hear a little bit of your insights there as to the security that Monica talked about. Is this something that comes up at every board meeting? What kind of concerns are there out there today? >> Well, Stu, there is no question, it historically has come up at every board meeting. And one of the issues with that has always been the cost growth and escalation that takes place, and can we keep throwing more dollars at securing our environment. Fast-forward, look where we are today. We are highly dispersed workforce. So our attack surface has increased exponentially. And when we think about all the products that we're using, from virtual desktop and functioning from wherever we are in this world, how can that not help, but in the mind of a board director who doesn't know too much about technology, it would frighten them even more. However, the thing that I constantly always underscore is the sooner we move to these more modernized infrastructures, the better our ability will be to secure our environment at a very cost-efficient model. Because these technologies, particularly like Nutanix, have security built into them. And instead of having to add constantly to our cyber workforce, who's going to be looking at and parsing through information, we are able to have these embedded sensors and our ability to have the infrastructure talk to us about where our vulnerabilities are, as opposed to us having to go in and try to figure that out either post event or at some point pre any type of event. So it's very exciting time. I really encourage people to just get off our legacy environments as fast as we can and go to these modernized technology infrastructures and to the vendors who make this invisible to us. And I think the board members start to then say, "Okay, I can begin to understand that." I often give an example of if you're building a smart house versus you buy an old house and you're trying to put cameras on the side and sensors in the windows and in the doors, you can't possibly be as effective in your security as if you built it from the ground up to be secure. >> Yeah, definitely, it is challenging to retrofit that. Modernization is definitely a drum beat we've seen. Monica, a question for you on that theme is, in many ways, the current economic situation is a challenge, but it's also a forcing function. If I can need to keep up, if I need my employees to stay productive, I often need to rapidly adapt some modern solutions like Virginia was saying. Any words on that from what you're hearing from your customers and how Nutanix is helping? >> Absolutely. As I said earlier, I think the more IT leaders we talk to, it's become clear to us that there's three major mandates for IT that they are supporting. It's business growth, it's customer experience, and it's employee experience. So, in terms of modernization, absolutely, we find that IT stakeholders are very keen to go on a journey, which kind of looks like this, and again, it may not be the same for everybody, but starting with data center modernization or what we call infrastructure modernization. So really standardizing and consolidating all the key workloads so they can most efficiently use the data center assets. But then the next step very quickly becomes automation. And I think that's what Virginia was alluding to earlier, is we can no longer throw more and more people at things like security and provisioning and patching and updating and expect us to deliver the service-level agreements we have with business. So automation becomes really key. And, of course, with AI and machine learning, there's a lot of solutions out there around automation, and Nutanix is obviously big in terms of automating. Our one-click upgrades are legendary. That's even before people talked about AI and machine learning, we've been offering them. But then the next step becomes, very quickly, is, okay, great, I've automated everything, IT has become a service, my stakeholders are, I'm able to deliver the service-level agreements, well, what's next? How do I get the flexibility to on-demand spin up environments? And I think that's where the linkage with public cloud comes in, that's where customers are starting to build hybrid cloud. And then the ultimate nirvana that we're hearing from many customers is, they want to be able to use the right cloud for the right workload. A lot of our customers don't want to be stuck, and I'm using the word stuck kind of loosely, but just not with one public cloud. Just like our customers use a lot of different hardware providers in some cases, they also want to have the optionality of using an Azure for one workload, maybe an AWS for something else, maybe it's on-premises for something else, maybe it's a service provider for something else, and that's the ultimate nirvana for IT. So that would be the ultimate modernization, is where you have this kind of like an infinite computing solution, where you can go tap into any resource you need at the point in time that you need it for and be able to pay the right price for that and have a single management across everything. So you don't have to worry about the complexity of managing for environments, it's all done through one single plane, and that's where Nutanix comes in. Really, that's what we are doing, is making it really easy for our customers to reach from this infrastructure modernization, all the way to this hybrid multicloud world, with a single, unified management plan, the ability to move data, applications, and license around as they choose to, and have a cost-optimized solution. >> And let me add to that because I love what Monica is saying. You know, as a corporate fiduciary, I want my partners to do what they do best. So having each cloud provider really continue down the path of the areas that they are best in class in as opposed to wasting their time competing with each other on the same stuff, which doesn't help me evolve as a consumer, and it doesn't help them grow their business. And so, by enabling this kind of hybrid world, we are allowing each of these cloud providers to be able to do what they do best, which helps us invest in our future as consumers. >> All right, so Virginia, talking about fiduciary duties, as a board member, there's a topic that was talked a little bit at the show, but we'd love your feedback. And Monica, I want to hear the company's superior parent. Of course, I'm talking about the founder and CEO, Dheeraj Pandey is, there's a transition, there's a look, looking for the new CEO. If I have the line right, he's he said he will be a Nutant forever even though his role will become a little bit more invisible, of course, what Nutanix has been trying to do with infrastructure and clouds before. So, Virginia, what does this mean for today and for the direction of the company? And then Monica, I would love kind of the internal look from an employee standpoint. >> Well, Stu, thank you for asking the question. I actually did a significant post on LinkedIn a couple of days ago because I really wanted to express to the world how blown away I am by our founder, Dheeraj. I've been working with him now over the last three years. And as I have gotten to know him, and I have worked with a lot of founders in my life, and I've worked with a lot of CEOs who were founders and some that were not founders, they were just CEOs and they came in after the fact, and it is rare that you find an individual that is just so focused on driving the mission forward in a very selfless way. And from the very beginning, people who ended up talking to with our CEO over their life's journey with Nutanix over the last 10, 11 years, will say the same exact same thing, which is, his single focus was about the mission and how Nutanix can support and grow the mission of the organization and what the world needs today. And it is rare that an individual will say, at a certain point in time, "I have taken this thing that I have created to a certain point, and now, it is yet at another inflection point, and it needs to continue on in a significant way. So being concerned about every facet, from do I have the right talent, do I have the right offering, do I have the right capital position, do I have the right board, do I have the right person at the helm? And I have spent a lot of time talking with Dheeraj, which is a gift and a pleasure in life, and to be able to have a candid conversation about where is Nutanix going next and how best to get there. And for a CEO to be able to sit down and talk to their board about that, it is really unique. And to have someone who cares so much about the future of the company, I was really blown away. So I'm very excited about our prospects going forward. Otherwise, I would not have joined this board. We all have, our lives are challenged, and life is short, and we want to spend the time doing the things that we believe in and we love and support. So I am very excited for the next chapter. We have built an incredible base. And now we're poised for very significant growth. And I think to underscore that, you saw the performance of the company was extremely good, the partnerships that are coming out, this is exactly the time when you want to, again, self-effacing, disrupting yourself, looking at where we need to go next. The time to do that is not at the point where you are there and you've arrived at that next step, but just as you're about to take off on a launch. And I think we're here. And I'm very excited. >> Yeah, I'll add to that. So, first of all, Virginia, we are so thrilled that you're on the board. As far as Dheeraj goes, I believe he's a force of nature. I think that's what Virginia said. And look, I'm a parent, and for those of you who are parents out there, this will probably resonate. When a child is born, you nurture your child and you take care of them. At some point, they leave for college. And for me, it was a hard one coming from a different culture, but I almost seem this is akin to that. Dheeraj is the founding father of Nutanix. He has really nurtured the company, he's built it up, he's given us all the right culture principles, and now, he's sending us off to call it saying, "Okay, this is the next phase of your life, go do the best you can and take Nutanix to the next level." And I'm really, really proud to be part of this company, I've been here for a year-and-a-half, we have amazing talent, people are important, we have amazing innovations. And, by the way, this new year, we started a fiscal year in August, it's going to be full of amazing innovations. I mean, this is only the beginning, what you've heard in the last two or three weeks, a lot more is coming down. And then there are some process that we've put in place so people process technology, process to actually scale as a larger company. So I think what Dheeraj has done is really set us up for the next phase of our life, and he's always going to be there for us as an advisor just like a parent is there for the child when they're off to college and off to doing other things in life. That's what I believe. >> Well, Monica and Virginia, thank you so much for sharing the updates. theCUBE really appreciates being able to be part of the Nutanix .NEXT event, and great to catch up with both of you. >> Thank you so much. >> Thank you for continuing to work with us. Thank you. >> All right, stay tuned for more from Nutanix .NEXT digital experience. I'm Stu Miniman. And thank you for watching theCUBE. (gentle music)
SUMMARY :
Brought to you by Nutanix. and the first time they've done, the kind of party that we have the best solutions to market. Virginia, I'd love to And then in addition to that, and at the show, Scott Guthrie, it's, of course, the hyperscaler clouds, In a lot of the conversations and the various providers who and the CIOs were all about and the optionality to be able And talking about the and be able to run the same as to the security that and our ability to have the I often need to rapidly and that's the ultimate nirvana for IT. of the areas that they and for the direction of the company? and grow the mission and he's always going to be and great to catch up with both of you. to work with us. And thank you for watching theCUBE.
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Monica Kumar, Nutanix and Virginia Gambale, Azumuth Partners | Global .NEXT Digital Experience 2020
>> Narrator: From around the globe, it's theCUBE, with coverage of the Global .NEXT digital experience. Brought to you by Nutanix. >> Hi, I'm Stu Miniman. And welcome to theCUBE's coverage of the Nutanix .NEXT global digital experience. We've been at the Nutanix shows since the first time they ever happened, way back at the Fontainebleau, in Miami, of course. Nutanix is now a public company. A lot of news, a lot going on, and the first time they've done, first, a global event and digital event because this was the convergence of the events that they were originally going to have both in North America as well as Europe. So happy to welcome back to the program. To help kick it off, first of all, we have Monica Kumar, she's the Senior Vice President of Marketing with Nutanix. And also joining us is Virginia Gambale, she is a Managing Partner at Azimuth Partners LLC and also a board member of Nutanix. Virginia, Monica, thanks so much for joining us. >> Thank you so much for having us. >> Thank you, Stu. >> So the event here, of course, the line we've used at many of those shows is, how do we bring people together even while we're apart? Good energy, great speakers, everything from Dr. Condoleezza Rice and Simon Sinek, in the opening, in Trevor Noah for some entertainment in day two, and lots of announcements with partners, customers, of course, speaking, and lots of the Newtons. So, Monica, maybe I start with you. You've had a very a close role in helping to shape a lot of what's going on here. I kind of teed up. Give us, from your standpoint, really, kind of the goals, give us a little bit of insight into putting this together for an online audience versus the kind of party that we have for the users when they come together in-person. >> Yeah, thank you so much, Stu. And I'm so excited to have Virginia here with us as well. You know, obviously, the world is so different now. And one of the biggest things that we've been doing for the last six, seven months is figuring out how do we stay connected with our customers, with our partners, with our own employees, and society at large? So, along the same lines, .NEXT has evolved to, of course, also being a virtual event, but at the same time, the biggest design factor for .NEXT is really the connection with customers, partners, our own employees, and influencers, and society at large. So you'll see a lot of our agenda is designed around future of work and what does it mean to be a leader and a technology leader, a technology provider in this world while we are living through the pandemic. We're also talking about future of education, future of healthcare, future financial services, all the things that matter to us as human beings, and then what's the role that technology is going to play in that, and, of course, how can Nutanix as a technology vendor help our customers navigate these uncertain times. So that's how most of our content is on day-one. And then day-two is really all about the latest and greatest cool tech. And you're going to hear a lot about and you've heard a lot about cloud technology and cloud being that constant enabler of innovation for businesses and for IT. So all of our hybrid cloud, multicloud, our core hyperconverged infrastructure, and how that's evolving to hybrid cloud infrastructure, it's about platform as a service, DevOps, I mean, database solutions, and these are competing solutions, you name it. So that's going to be at day-two. And then day-three is a partner exchange. So, obviously, partners are really important to us. That's the village, the ecosystem. And we have a whole day dedicated to our partners in helping understand how can we together bring the best solutions to market. >> Virginia, I'd love to get your experience so far with the event that you've attended. >> Well, I always find that .NEXT experiences a very broad and enriching experience. I tell people who have never heard of cloud, who are well in the cloud, who are wanting to just learn about it, just sort of standing at the precipice of embarking on this journey, to watch or participate or go to the .NEXT for Nutanix, because it is so rich with content and speakers that are so intelligent about an experience about what they are doing and embarking on. And then in addition to that, there's always a hint and a lookout at the future and where we are going and where we need to think about where we are going. So I am very excited. The first part of this virtual .NEXT, I didn't know what to expect, but I am extremely pleased. >> Well, yeah, Virginia, you bring up a really good point. It's not just the cool technology, and there's lots of that, but what, personally, how do I enrich myself, how do I reach my career, how do enrich my community, that heart that Nutanix talks a lot about. Monica, obviously cloud has been a very important piece of the discussion. I noticed a little bit of shift in marketing. For a couple of years, the enterprise cloud was the discussion. Dheeraj's teams is out, he said, "Okay, we're going to change HCI from hyperconverged infrastructure to hybrid cloud infrastructure." You and I had had a conversation when the announcement of Nutanix Clusters with AWS, and at the show, Scott Guthrie, of course, wearing the signature red polo, and deeper partnership with Microsoft for Azure. Definitely, lots of excitement around that because Microsoft is a company that most people partner with and work with and use their technologies. And things like Azure Arc have the real promise to help us live in this hybrid and multicloud world. So we'd love to just briefly touch on the cloud pieces, what you're seeing in the news from Nutanix's standpoint? >> Absolutely. So one of the big pieces of news that's come out of .NEXT is a partnership with Azure, and we are super-excited for that partnership. Not only is Nutanix Clusters going to be available on Azure and we are jointly developing that solution to bring hybrid cloud solution to customers, you rightfully mentioned Azure Arc, we are also working to integrate Azure Arc across on-premises and Azure cloud. So, ultimately, for us, it's really about technology being a means to an end. The end is business outcomes for our customers, the end is a better customer experience, better employee experience, growth for the company in terms of revenue and profitability. And ultimately, that's what technology is doing, is really simplifying the use of cloud technology and build that hybrid cloud fabric that customers can deploy very quickly, very easily, seamlessly, and then manage it very easily, oh, and by the way, also be able to move their apps and data and license across the on-premises and, in this case, Azure environment. So very excited. By the way, we don't just stop there. When you say cloud, and when we say hybrid cloud and multicloud, it's, of course, on-premises, it's, of course, the hyperscaler clouds, but then there are service provider clouds. Because in region, and then, by the way, I don't know if you heard Khaled Soudani, he's the CTO at SocGen, he joined us as well in one of the keynotes, and obviously, they are building hybrid clouds. And when we talk about hybrid cloud to customers, it's also service provider cloud, which could be for data locality, data residency regions. It's also Nutanix's own cloud, the Nutanix cloud. So that's definitely one of the big pieces of news coming out of .NEXT, is this morphing or I would say evolution of hyperconverged infrastructure to becoming the hybrid cloud infrastructure. >> Virginia, of course, the big discussion this year has been the impact of COVID and what that's meant to IT priorities, CIO priorities. In a lot of the conversations we've been having on theCUBE this year, there's been a real acceleration on a lot of those cloud initiatives that Monica was talking about. So what are you hearing? What are you seeing? What are some of those imperatives that are either accelerating or, and are there some things that people are saying, "Hey, we might want to put this on ice for a few months?" >> Well, I can tell you, from my work with clients, the many public boards that I sit on, which span from financial services, to pure tech, all the way through to consumer-facing businesses, I really see the spectrum. And three years ago, when I was on theCUBE, we were talking about standing at the precipice and jumping in. Now, we are full on, we are in it. And Monica talked about all these different public clouds and the various providers who are leading their own way. But what I love and I think it's really important is that we need an independent company that actually begins to step back and help all the leaders that are running technology and operations and customer-facing functions, to be able to help them do their job. So here we are today, talking to various CEOs and C-suite executives. And the big issues are, "Okay, this stuff isn't so scary, we are in it, we need it for being able to function in the COVID world, and we also need it because our customers need us to need this, to have it." So, when we look at our portfolio of how businesses are investing in technology and other areas going forward, innovation, cost management, and also cyber seemed to be sort of the three very important themes of the day. And I believe that, today, as we sit through the next few days with .NEXT, we are really going to find stories, experiences, and visions about how we can actually address all three of those. >> Yeah, I think the point, Virginia, you're making is so fantastic, that this is the age of innovation while organizations also have to focus on cost intelligence. And that's the number one thing we're hearing from our customers. I mean, like when you were talking, it just reminded me, in the old days and maybe even up to five years ago, and the CIOs were all about knowing technology knowhow and managing costs, and like it was a cost center. But now you look at IT, IT is at the forefront of driving innovation. IT is at the forefront of adopting cloud. But at the same time, IT is also tasked with being smart about cost optimization. So you're right, that's exactly what we're also going to discuss the .NEXT, is how can technology help our customers innovate and, at the same time, be intelligent about cost optimization and which cloud to use for which workloads, for example. >> Yes, and also having the flexibility and the optionality to be able to put these things together. >> Well, yeah, Monica, simplicity was always at the core of what Nutanix did. And talking about the hybrid cloud solutions, it's very important you talk about the fact that it's the same operational model wherever things lived. The one piece that you didn't cover yet, that Virginia teed up, cyber security. So, absolutely, we would need innovation, we need to look at costs, but security is something that went from, it was already at the top of the list, to, oh, my gosh, in 2020, it feels like it's even higher there. So how does Nutanix make sure that, Nutanix along with your partners are making sure that companies, their data, their employees are all secure as possible? >> Absolutely. You mentioned that simplicity is a design principle for Nutanix from day-one, add to that security, security has been a guiding light from day-one, and security is built into our platform. It's not an afterthought, it's something we designed our products to incorporate right from the beginning. And there's a reason for that. The reason is we have over 17,000 customers, and a lot of them are running big, huge enterprise business critical workloads on Nutanix, including public sector, including state and local governments. And we have to ensure that they are able to make the environment secure using Nutanix technology. So whether it's our core technology platform, where we have things built in like data encryption, audit capabilities, or whether it's some of our new portfolio products. Last time, I think, Stu, we talked about how Nutanix offers now this complete cloud platform. 10 years ago, we started with a core foundation, which is hyperconverged infrastructure. But in the last few years, we've added on data center services, like other storage, different types of storage, consolidation, ability for customers, networking options, DR, we've added DevOps and database services, we've added desktop services. If you combine all of those three together with our digital infrastructure services, that's a complete cloud platform that has to be secure for our customers to run enterprise apps on databases, analytics workloads, and also build cloud native applications and run on it, and be able to run the same stack in a public cloud or private on-premises cloud. That has to be secure, so that's the number one design principle for Nutanix. >> Virginia, if Dave Alante was here, he would probably throw out the line that security has really become a board-level discussion. Well, you sit on a few boards, so I'd love to hear a little bit of your insights there as to the security that Monica talked about. Is this something that comes up at every board meeting? What kind of concerns are there out there today? >> Well, Stu, there is no question, it historically has come up at every board meeting. And one of the issues with that has always been the cost growth and escalation that takes place, and can we keep throwing more dollars at securing our environment. Fast-forward, look where we are today. We are highly dispersed workforce. So our attack surface has increased exponentially. And when we think about all the products that we're using, from virtual desktop and functioning from wherever we are in this world, how can that not help, but in the mind of a board director who doesn't know too much about technology, it would frighten them even more. However, the thing that I constantly always underscore is the sooner we move to these more modernized infrastructures, the better our ability will be to secure our environment at a very cost-efficient model. Because these technologies, particularly like Nutanix, have security built into them. And instead of having to add constantly to our cyber workforce, who's going to be looking at and parsing through information, we are able to have these embedded sensors and our ability to have the infrastructure talk to us about where our vulnerabilities are, as opposed to us having to go in and try to figure that out either post event or at some point pre any type of event. So it's very exciting time. I really encourage people to just get off our legacy environments as fast as we can and go to these modernized technology infrastructures and to the vendors who make this invisible to us. And I think the board members start to then say, "Okay, I can begin to understand that." I often give an example of if you're building a smart house versus you buy an old house and you're trying to put cameras on the side and sensors in the windows and in the doors, you can't possibly be as effective in your security as if you built it from the ground up to be secure. >> Yeah, definitely, it is challenging to retrofit that. Modernization is definitely a drum beat we've seen. Monica, a question for you on that theme is, in many ways, the current economic situation is a challenge, but it's also a forcing function. If I can need to keep up, if I need my employees to stay productive, I often need to rapidly adapt some modern solutions like Virginia was saying. Any words on that from what you're hearing from your customers and how Nutanix is helping? >> Absolutely. As I said earlier, I think the more IT leaders we talk to, it's become clear to us that there's three major mandates for IT that they are supporting. It's business growth, it's customer experience, and it's employee experience. So, in terms of modernization, absolutely, we find that IT stakeholders are very keen to go on a journey, which kind of looks like this, and again, it may not be the same for everybody, but starting with data center modernization or what we call infrastructure modernization. So really standardizing and consolidating all the key workloads so they can most efficiently use the data center assets. But then the next step very quickly becomes automation. And I think that's what Virginia was alluding to earlier, is we can no longer throw more and more people at things like security and provisioning and patching and updating and expect us to deliver the service-level agreements we have with business. So automation becomes really key. And, of course, with AI and machine learning, there's a lot of solutions out there around automation, and Nutanix is obviously big in terms of automating. Our one-click upgrades are legendary. That's even before people talked about AI and machine learning, we've been offering them. But then the next step becomes, very quickly, is, okay, great, I've automated everything, IT has become a service, my stakeholders are, I'm able to deliver the service-level agreements, well, what's next? How do I get the flexibility to on-demand spin up environments? And I think that's where the linkage with public cloud comes in, that's where customers are starting to build hybrid cloud. And then the ultimate nirvana that we're hearing from many customers is, they want to be able to use the right cloud for the right workload. A lot of our customers don't want to be stuck, and I'm using the word stuck kind of loosely, but just not with one public cloud. Just like our customers use a lot of different hardware providers in some cases, they also want to have the optionality of using an Azure for one workload, maybe an AWS for something else, maybe it's on-premises for something else, maybe it's a service provider for something else, and that's the ultimate nirvana for IT. So that would be the ultimate modernization, is where you have this kind of like an infinite computing solution, where you can go tap into any resource you need at the point in time that you need it for and be able to pay the right price for that and have a single management across everything. So you don't have to worry about the complexity of managing for environments, it's all done through one single plane, and that's where Nutanix comes in. Really, that's what we are doing, is making it really easy for our customers to reach from this infrastructure modernization, all the way to this hybrid multicloud world, with a single, unified management plan, the ability to move data, applications, and license around as they choose to, and have a cost-optimized solution. >> And let me add to that because I love what Monica is saying. You know, as a corporate fiduciary, I want my partners to do what they do best. So having each cloud provider really continue down the path of the areas that they are best in class in as opposed to wasting their time competing with each other on the same stuff, which doesn't help me evolve as a consumer, and it doesn't help them grow their business. And so, by enabling this kind of hybrid world, we are allowing each of these cloud providers to be able to do what they do best, which helps us invest in our future as consumers. >> All right, so Virginia, talking about fiduciary duties, as a board member, there's a topic that was talked a little bit at the show, but we'd love your feedback. And Monica, I want to hear the company's superior parent. Of course, I'm talking about the founder and CEO, Dheeraj Pandey is, there's a transition, there's a look, looking for the new CEO. If I have the line right, he's he said he will be a Newton forever even though his role will become a little bit more invisible, of course, what Nutanix has been trying to do with infrastructure and clouds before. So, Virginia, what does this mean for today and for the direction of the company? And then Monica, I would love kind of the internal look from an employee standpoint. >> Well, Stu, thank you for asking the question. I actually did a significant post on LinkedIn a couple of days ago because I really wanted to express to the world how blown away I am by our founder, Dheeraj. I've been working with him now over the last three years. And as I have gotten to know him, and I have worked with a lot of founders in my life, and I've worked with a lot of CEOs who were founders and some that were not founders, they were just CEOs and they came in after the fact, and it is rare that you find an individual that is just so focused on driving the mission forward in a very selfless way. And from the very beginning, people who ended up talking to with our CEO over their life's journey with Nutanix over the last 10, 11 years, will say the same exact same thing, which is, his single focus was about the mission and how Nutanix can support and grow the mission of the organization and what the world needs today. And it is rare that an individual will say, at a certain point in time, "I have taken this thing that I have created to a certain point, and now, it is yet at another inflection point, and it needs to continue on in a significant way. So being concerned about every facet, from do I have the right talent, do I have the right offering, do I have the right capital position, do I have the right board, do I have the right person at the helm? And I have spent a lot of time talking with Dheeraj, which is a gift and a pleasure in life, and to be able to have a candid conversation about where is Nutanix going next and how best to get there. And for a CEO to be able to sit down and talk to their board about that, it is really unique. And to have someone who cares so much about the future of the company, I was really blown away. So I'm very excited about our prospects going forward. Otherwise, I would not have joined this board. We all have, our lives are challenged, and life is short, and we want to spend the time doing the things that we believe in and we love and support. So I am very excited for the next chapter. We have built an incredible base. And now we're poised for very significant growth. And I think to underscore that, you saw the performance of the company was extremely good, the partnerships that are coming out, this is exactly the time when you want to, again, self-effacing, disrupting yourself, looking at where we need to go next. The time to do that is not at the point where you are there and you've arrived at that next step, but just as you're about to take off on a launch. And I think we're here. And I'm very excited. >> Yeah, I'll add to that. So, first of all, Virginia, we are so thrilled that you're on the board. As far as Dheeraj goes, I believe he's a force of nature. I think that's what Virginia said. And look, I'm a parent, and for those of you who are parents out there, this will probably resonate. When a child is born, you nurture your child and you take care of them. At some point, they leave for college. And for me, it was a hard one coming from a different culture, but I almost seem this is akin to that. Dheeraj is the founding father of Nutanix. He has really nurtured the company, he's built it up, he's given us all the right culture principles, and now, he's sending us off to call it saying, "Okay, this is the next phase of your life, go do the best you can and take Nutanix to the next level." And I'm really, really proud to be part of this company, I've been here for a year-and-a-half, we have amazing talent, people are important, we have amazing innovations. And, by the way, this new year, we started a fiscal year in August, it's going to be full of amazing innovations. I mean, this is only the beginning, what you've heard in the last two or three weeks, a lot more is coming down. And then there are some process that we've put in place so people process technology, process to actually scale as a larger company. So I think what Dheeraj has done is really set us up for the next phase of our life, and he's always going to be there for us as an advisor just like a parent is there for the child when they're off to college and off to doing other things in life. That's what I believe. >> Well, Monica and Virginia, thank you so much for sharing the updates. theCUBE really appreciates being able to be part of the Nutanix .NEXT event, and great to catch up with both of you. >> Thank you so much. >> Thank you for continuing to work with us. Thank you. >> All right, stay tuned for more from Nutanix .NEXT digital experience. I'm Stu Miniman. And thank you for watching theCUBE. (gentle music)
SUMMARY :
Brought to you by Nutanix. and the first time they've done, and lots of the Newtons. the best solutions to market. Virginia, I'd love to And then in addition to that, and at the show, Scott Guthrie, it's, of course, the hyperscaler clouds, In a lot of the conversations and the various providers who and the CIOs were all about and the optionality to be able And talking about the and be able to run the same as to the security that and our ability to have the I often need to rapidly and that's the ultimate nirvana for IT. of the areas that they and for the direction of the company? and grow the mission and he's always going to be and great to catch up with both of you. to work with us. And thank you for watching theCUBE.
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August | DATE | 0.97+ |
Google Cloud Next OnAir 20 Analysis | Google Cloud Next OnAir '20
>>From around the globe covering Google cloud. Next on there. >>Hi, I'm Stu Miniman and this is the cube coverage of Google cloud. Next 20 on air it's week seven of nine. Google of course took their event that was supposed to be in person and Moscone, spread it out online. It's all available on demand. Every Tuesday they've been dropping it in the cube. We've got a great lineup that we're going to share with you of our coverage thought event. This is our analysis segment, joining me to help dig into where Google cloud is. Everything happening in the ecosystem. Having to bring in Dave Alante and John furrier, our co-founders co-CEOs and, uh, always hosts of the program, John and Dave. Uh, it was, uh, it was great last year being in the middle of the show floor, uh, with the whole team and the great glam beautiful booth that Google built well, we're remote, but we're still in the middle of all the topics, the big waves and everything like that. So thanks so much for joining me and look forward to digging into it. >>Hey Stu, great to see you remotely. We got to get these events back. His virtual events are nine weeks, three weeks for Ws all day events. DockerCon virtual orders, nobody ecosystem support. I mean, this is really an interesting time and I think Google has laid out an interesting experiment with their multi. I call it summer of cloud program nine weeks with just a sustained demand for your attention. It's going to been a challenge. >>The question always, John, can they keep their attention? John, you laid out, you know, the cube three 65 were, there is 365 days a year, help extract the signal from the noise, help engage with the community. So absolutely want to kind of peel back the onion and see what we think of the event. But let let's, let's start with Google. Dave, you know, you've been digging through the numbers as you always do. Uh, we're we're more than a year since Thomas Kurian came in and you know, what are you hearing? What's the data showing you as to, you know, where Google really sits in the marketplace? How are they doing >>Well still you're right. I mean, Thomas curious now I think he's about 18 months in and in one of my previous breaking analysis, I kind of laid out a four point plan for, for Google. And we can talk about sort of how they're doing there, but, but really the first one is product maturity and there's, there's a number of things that we can assess as it relates to product maturity. The second we talk about it all the time is, is, is go to market. I think the third one is really around differentiation. How does Google uniquely differentiate from the other cloud service providers? And I think the fourth and we saw this earlier this year with Looker is, you know, Google's got a war chest and you know, they can use that to really beef up the cloud. And I think if, if, if you, if you look at it, you know, Google's done a pretty good job with things like fed ramp. >>I mean, these are table stakes in the big cloud. You know, they're starting to do more things around SAP of VMware, uh, windows. I mean, again, these are basic things that you have to do as part of any large cloud provider. I think the other thing we talked about go to market, they've done a number of things there. Karen's really focused on partnerships. He wants to be a hundred percent channel, uh, at the same time they're hiring salespeople. I think they're up over 1500 salespeople right now, uh, which is, you know, we're getting there. I think it was less than that. Obviously when he came on, that's kind of the benchmark, although we don't really know exactly what, what the numbers are. They've kind of launched into public sector. They see what's happening with Amazon there, they see great opportunities. They see, you know, what, what Microsoft is doing. And so public sector, they have to put out bakeoffs so you gotta be in there and at differentiations still a lot of, okay, how can we leverage alphabet our search business and retail, our business and healthcare, um, and edge things like autonomous vehicles. There's, there's some opportunities there. And then as I said, they're doing some M and a two plus billion dollars for Looker, you know, great capability. So I think they're, they're executing on those four and we can talk about what that means in terms of, you know, revenue and position in the market. >>Well, yeah, Dave, maybe it makes sense to let let's, let's walk through the revenue, just so that people understand, you know, where they sit for the longest time it's been, you know, the number three or the number four where Alibaba said, uh, compared to them, but they are still far behind, uh, AWS and Azure. Uh, and have they been closing the gap at all? >>Well, if guys, if you could bring up that chart, that first one, uh, this is are, we really are estimates. You remember now AWS, every quarter gives us a clean number for their infrastructure as a service. And what we've got here is an estimate for full year 2018, 2019 that's calendar year, the growth rates, and then, uh, with a trailing 12 month view. And I think there's a couple of points here. One is you can see the growth. Google grew 89% last year. They were 70% in Q one 59% in Q two. So, so even though it's somewhat declining, they're growing faster than both Azure and AWS, of course, from a smaller base. I think the other thing, if you, if you go back and look at 2019, relative to AWS, Google was one 10th, the size of AWS. Now they're, you know, there's only eight X, so they're starting to close that gap, but still very much a, a quite a distance from the leaders. >>Yeah. Uh, John, maybe if we look at Google under Thomas Currian, of course there's been a real, uh, growth in hiring. So, you know, you're there in the Valley, John, we know lots of really smart people that have joined Google's great enterprise, uh, you know, pedigrees there as well as the ecosystem, uh, that, that wants to be able to partner with Google. You know, what are you seeing? What are you hearing? I like one of the interviews that you did, uh Suneel prody, uh, it was, it was the number two over at Nutanix. Uh, and now we've got an important role in Google cloud, >>Google hiring great people. I got to say, one of the things I'm impressed with is I've always liked the product people. They have great product chops. I'll ask the Google has come from a position of strength on the tech side being Google. Um, and, but the enterprise business is hard too, and they got to hire more enterprise DNA. They're trying to do that at the same time. They're trying to make the table stakes stuff done, move fast during the product side. And then at the same time, create the game changing product with like ant those for instance, um, and then have all those new features. So they're running as fast as they can. Um, they're building product as fast as they can. So you got, you know, developer and operator efficiency, which I love the strategy. However, when you run that fast, there's definitely debt. >>You take on both technical and market debt around trying to make a shortcut. So Google to me, the word in the Valley is great stuff with the people. Product is awesome, getting better, good product people, but still those enterprise features product reliability in terms of not sunsetting products early to, you know, making sure the right support levels are there. These are like the little details that make the difference between an enterprise player and someone who is essentially, you know, moving too fast, get new products being to agile. So yeah, it's a double edged sword for Google. We've said this all the time, but overall I'd give them a solid number three position and still haven't seen the breakout yet. I think ant those can be that if they keep pushing on this operator efficiency, but I just don't think the enterprise is ready for Google yet. And I think there's issues there. >>Yeah. John, you bring up a great point. I know the last couple of times we've been at the show, I feel like I'm scratching my head. It was like, wait, when did lift and shift become sexy? Yes, you want to meet the enterprises where they are, but how is that different from the message that we hear from Microsoft that we hear from AWS? Uh, one of the bigger announcements during the infrastructure week, uh, was about a new program, the rapid assessment and migration plan or ramp, uh, to help customers get from where they are, where they need to be. Uh, it's interesting because of course, if you, you know, for reinvent for years, we had all the systems integrators, helping customers move and migrate, uh, both AWS and Azure have lots of migration solutions out there. So, you know, how will Google differentiate themselves and make different there? >>Well, they don't, they don't really know. I mean, they have put stuff down on paper, but here's the problem that Google has to overcome to make it a truly a fast growing cloud player. They got to nail the product features that they need to be in the marketplace. And the ecosystem really wants to work with Google. I see retail is lay up for them and they're doubling down on that. They've got smart people working on this, but the ecosystem and adding product features are two major heavy lifts ecosystems about moneymaking. At the end of the day. I know that sounds kind of greedy in this era of empathy and missions and values, but at the end of the day, if you're not making your ecosystem money, which means keep products around support for a certain number of >>Years and have incentives economically for people to build software. They're not going to work on your platform. And I think Google needs to understand that. Clearly. I just don't see it. I mean, I just don't see people saying, I love Google so much. I'm making so much cash and success. Um, and they got some good products. You know, I, like I said, products on ecosystem are things they're going to ratchet up super fast. Well, there's a couple of places, a couple of partners they violated, like I said, durian wants to be a hundred percent channel-based channel fulfillment. And when you talk to the channel, they do tell you, yo Google there they're being aggressive. Deloitte, you know, they chart chart out as a big partner HCL. Now of course, those guys are all working with everybody, but they're starting to put resources around that in terms of training and certification. >>And of course, other, you know, much smaller resellers and partners. So that's, that's interesting, right? That being really super channel friendly, that's a differentiator to your point, John, that's making be do that because they're not coming from a position of strength channel. No, they are channel friendly. Can, you can say you're channel friendly, but if your product doesn't work, the channel will reject you instantly. They're, they're a, they're a tough critic and they need to have reliability. So again, this is not really a problem with Google. It's just a product is evolving fast at the same time, they're trying to roll out a channel. So if you want to have a good rental strategy, you gotta have a good one posture and programs, but the product has to be enabling and reliable. And if someone's building software on top of a cloud platform and stuff doesn't work or changes, that's more cost more cost means more training, more hiring. >>If someone leaves, how does it scale? These are like really important things around channel. Cause they have to sell to the customer and support their name's on the line. So again, channels and easy to say thing to do, but to actually do it with a product is hard. And I think Google has that challenge. And again, it's a challenge that they overcome. It will be a great opportunity. Well, and I think that's a good point because it wasn't, it was 2019 when I was like VMware SAP, full blown windows support. I mean, that's, that's really late to the game. And so as I say, product maturity is critical, but there are some, some winners there obviously in analytics, uh, I think big query as get, gets very, very high marks. So there's, there's some real pockets of, of, of positive positivity there. But you know, I would agree though, the maturity is a key factor for the channel to really go on. >>Well, right. If you look, John, you mentioned anthro Santos was the story last year. Uh, and it's, we're all talking about multicloud. Uh, much of the multi-cloud discussion has been, uh, due to Kubernetes. And if it wasn't for Google, we wouldn't have Kubernetes. The concern of course, is that Google took it, it open source. The CNCF took it as a foundation and customers went nuts with it and the other public cloud and even, you know, smaller cloud providers are getting as if not more value than Google is. So what you hear in the back channels, when you say, boy, Google brought this technology out district really help enable their platform. Well, AWS is still winning. AWS has plenty of solutions. They've got interesting things to get, you know, deep solutions, leveraging Kubernetes. Uh, and if you look at Google, they announced anthros last year, it's gone through some updates this year. >>Uh, you know, you both mentioned, uh, working with the partners. One of the things that jumped out at me, uh, there's now something called ant those attached clusters, which means that if I have somebody else's, you know, Kubernetes that is fully certified, I can, I can plug that in and work with Anthem. It was one of the gaps that I saw last year. You hear Google saying, we're partnering with VMware, we're partnering pivotal, but here's. And if you want to use OpenShift or PKS, you know, you need to come over to work with Anthem here. We are understanding that customers are going to have multiple environments and often multiple different Kubernetes solutions out there. Uh, you know, Dave, you mentioned like VMware, of course is a really important solution. VMware moving along and supporting more Kubernetes. Uh, and the, the update for the solution is the Google cloud VMware engine. >>And absolutely the number one use case they talked about is take your VMs, get them in the cloud and then start using those data and analytic services that are in the public cloud. So we're seeing some maturity here, but you know, Dave, if we look at the multicloud market, you know, it, Google's not the first company that typically comes to mind, you know, VMware, red hat, even Microsoft probably are a little bit higher on people's thoughts. You know, what have you been seeing? It's an area we've been spending a lot of time last couple of years hybrid and multicloud. >>Well, we have some data on this guys, if you would pull up that next graphic and this, this is observing data from our data partner ETR and what this shows on the vertical axis is the spending momentum. So are you spending more or less? And then it's really a net score, which in other words, to subtract the less from the morning when we have leftover that's, the vertical axis high is higher, is better. And then the horizontal axis is markets, bear really presence in the data set, and you can see the hyperscaler guys, you know, that's where you want to be Microsoft AWS. They're always sort of separating from the pack. You'd love to see Google. Is there a hyperscaler out there with those guys, but they're not one of the interesting things that we're seeing in the dataset Stu and John VMware cloud on AWS has really popped up. >>So this thing of this notion of hybrid as part of the cloud ecosystem and multi-cloud is really starting to have legs. And you can also see red hat with, with open shift and believe it or not even OpenStack as a telco, you see in that pop up as well as VMware cloud, which is comprises cloud foundation and other components. So you see that hybrid and multicloud zone. And I think, I think you got to put Google, you know, right there, you can see where IBM and Oracle are for just for context, they don't have the momentum, they don't have the market presence in cloud, but they have a cloud. So that's kind of how the landscape is. And I think Google, from a standpoint of ant dos, they, again, they have to be trying to be open, leverage their Coopernetties chops and try to differentiate from certainly AWS. I think your point is right on, I think Microsoft has a pretty strong story there, but Google's got a clean story and they're investing and I think it's a good position for them. Not as, not as good as the other two, but you're when you're coming from behind, you have to try to differentiate and they are. >>Yeah, well, Dave, you've always said the rich get richer when these markets, but now with COVID that they are getting richer. Amazon honestly, stock I'm billion trillion, $2 billion valuation for Apple Google on the cloud side. This is, I think that if they had more product leadership in certain areas, I think they'd be doing more, more with their cloud, but they have some IP that could come out of this post COVID growth strategy for them, where it could be a game changer. So if you look at security and you look at identity, and one of the things that caught my attention in the anthesis announcement was this, uh, this, uh, identity service that they have, which is like, uh, open ID kind of connect thing. Identity will be critical because Google has so much IP around, um, you know, um, user login information around the mobile on the mobile side. >>I mean, Jennifer Lynn on this many times that they could leverage that and really helped the edge secure. And from a user access standpoint, having identification in the Anthem would be great. And this whole modern application trend is kind of where the puck is going. So you're there kind of skating to that puck area. And also they're focused on operators. This multicloud thing hits a home run with operators, because if you can create an abstraction layer between multiple clouds and have this modern kind of top layer to it, you're in a good position, but the insiders here in Silicon Valley and in the industry that I talked, they were all saying that Google has huge IP in their network. They have a very solid network. So what's interesting to me, as a Google can take leverage some of those network pain points and then bring anthesis that connective tissue. They got a real opportunity, but they've got to pull it off, right? So covert hitting, probably the worst thing that could have happened to Google because they were just a couple feet from the goal line on this, on this market in terms of really exploding. But I think they're well positioned. I'm not down on Google at all. >>I think that, you know, I'm glad you brought that up, John, because I think Cove was a two edged sword for them. I just published last week in my breaking analysis this weekend, actually that there were three big tailwinds insecurity as a result of coal go away. And identity was one of those cloud of course, was, was the other one. And then endpoint security was the third. And so that's a, that's, that's a, you know, kind of good news for, for, for identity. The flip side of it is if you go back and look at where Amazon and Microsoft were in terms of their growth, relative to where Google is now, Amazon and Microsoft appear to have been growing larger. Now these things go in an S curve, you know, it's kind of an old guy that starts out slow and then gets really steep. So we may actually see Google accelerate. Uh, but >>I think you wait in that it may have to wait until after COVID. So it's really a Jewish store, good news on the identity side. And Google's well positioned, but necessarily bad news from a growth standpoint. Well, there's three areas to that. You know, you and I have been riffing on lately and we've, haven't published a lot yet because we're going to wait until we have our event cube con event in October. But there's three areas, I think ant those points too. And they even say this kind of in their own way, um, multicloud, which is customers, connecting customers anywhere and finding device and whatnot. So customer connection points, customer enterprises, improved developer, modernized developer, the developer market, and then three operators, three areas that are all moving trains. They're all shifting under their feet. So I think they're doing great on developer side because they have great traction. >>We've covered that with coop con and other areas have done amazing work operator efficiency, no problem. I think they got a lot of great credit there and are building and adding new stuff. It's the customer piece that's weak. They, I think they really got to continue to double down on what is the customer deployment, because let's face it, enterprise customers aren't as savvy as Google or the hyperscaler. So when you roll into main street enterprise, especially with Cova Dave, as you pointed out, are they sitting there really grokking Coobernetti's on bare metal? And at those they're like, shit, how do I keep my network alive? So it, I just think isn't a long yet operationally on the customer side. And I think that is a weakness, um, and on Google's formula and they got to just make that easier. >>Yeah, no, no great, great points there. Absolutely. In, in talking to a lot of the cloud customers, if they already have an existing relationship that's expanding or accelerating, that is a lot easier than choosing a new environment. So as Dave said, the rich get richer. Um, I mentioned that at, at the start, this is week seven of nine of what Google is doing. Um, we want to get both your, your viewpoints on this event, how they laid it out nine weeks, it's all done on demand. I know when they had the opening keynote, there was a decent rally point. You saw the usual Twitter stream out there. They had a nice median analyst program that kicked off at the beginning. For me personally, there's been some stuff that I've gone back infrastructure week. I watch this week for app modernization. There's definitely some announcements that I'm digging into, but I think overall what I see out there is people rallied at the beginning and then they kind of forgot that the event was going on. Um, you know, what are you seeing? You know, what, what's the new best practice on, you know, how long should an event be? How do you deliver it? How do you get engagement? >>Well, I mean, just to, you know, Tim, Dave will weigh in, but I'm pretty hardcore on my criticism of most of these virtual events, mainly because virtual event platforms and virtual event executions or whatnot, well known as a first kind of generation problem. No one's really been under this kind of disruption when they got to replicate their business value as quickly in an environment they weren't optimized or have the personnel for. So you're seeing a lot of gaps in these virtuals, kinda like multi-cloud and high, where you have tens of different definitions of how to do it. I think Google went to nine weeks cause they really didn't know what to do. And they left a lot of their ecosystem hanging out there because normally Google next is a huge show with great content presentations. Everything's up on YouTube anyway. So on demand is not a build value. >>The real value of Google next was the face to face interactions. The show floor, the ecosystem, the expo hall that is completely absent from the show here. And this is consistent with other events. And honestly, it's over nine weeks, Amazon re-invent, it's going to be over three weeks. And last year they had a music festival. How are they going to replicate that again, this is a huge negative shift for these vendors because they rely so much on these events to get the word out. So it's really hard. Um, so I, I I'm really impressed with the nine week program and the sense of kind of staging it out and kind of the summer of cloud, I would have done things a little bit differently if I was them in terms of making it more exciting, but it's just really difficult to command attention for the audience over nine weeks. >>And I think that's, if they had to go back and do a Mulligan, I would've, they would've probably would've done more activation around the digital rather than a bunch of on demand video. So at least I did something and didn't cancel now the good news is there's a slew of news. We can collaborate on, um, the virtual spaces, the internet. So people are talking, it's just that it's all distributed. No one knows who's there, right? So it's not like an industry event. It's just an online collection of videos like on YouTube. So I felt that lack of intimacy was probably my, my biggest critique. Um, but again, I think he just wanted to move forward and get this behind them. >>I think you nailed it, John. I mean, on the one hand they made it harder for themselves stretching it out over nine weeks. On the other hand, they kind of took the easy way out is putting it up on all on demand. I guess they have analyst programs too, but I felt like they, weren't certainly not even close to what you have in physical. And it's really hard to obviously replicate physical, but I've seen other programs where the intimacy with the analyst and the journalist was much higher and opportunities to have interactions with executives. I felt it was just a little bit removed, actually quite a bit removed would have loved to have seen just a more intimate one-on-one activity. Maybe not one-on-one, but, but one, one to many with a smaller group of analysts and journalists, I think that would have gone a long way. Um, and that, that was missing for me anyway. >>I mean, they could have done nine micro events every week with like a rallying point is to pointed out, um, just really a difficult, I mean, who, who was executing this event? I mean, they have an events team that's used to doing physical events, Moscone and whatever. It's just, they didn't, I don't think had the time to figure it out. Be honest with you. I mean, Google is a company known for search relevance, find what you're looking for and uh, organizing content. I just think they didn't do a good job at all. And I think I didn't have any much attention cycles to it because I was kind of keying in the news, but I didn't know where my friends were. Who's rallying is Stu there. I didn't even, do's tweeting, I'm not following it. Or I missed his tweet. So there's a lot of asynchronous, um, stuff going on with was no, you know, gravity around a community or ecosystem kind of moment where I could schedule an hour at 10 o'clock or multiple times >>Does the day to check in and go to the watering hole or some stuff, >>You know, hub or instance like that. So, you know, something that we're thinking a lot about David's, you know, and I think this is a moving, moving target, but what's clear is that you can create synchronicity and still have the asynchronous programs. So at least we learned that with the Docker con event that we did and the software that we're building. So, you know, virtual events, isn't about just the events, but what happens on inside the event, outside the event, after the event, I think people are too hung up on this. I got to have a portal walled garden model. So I think it's going to be a learning curve for everybody. And I think Google may or may not do nine weeks. We'll see what re-invent does with three weeks. How do you keep people's attention? But three weeks when they're not in Vegas? >>Well, you know, no, I think that physical or virtual, it's your opportunity to write the narrative, to set the tone or set the narrative. And you're seeing this with the conventions, with the political conventions, you know, they're, they're actually, you know, you don't necessarily watch the whole thing, but you get a good sense, you know, post virtual event, what the narrative is. And I think that's cause you know, the media picks it up and I think it's, it's imperative to really do a good job of interacting with the media. You know, the analysts, the ecosystem, the partners, I haven't talked to a ton of partners who have been totally engaged other than, you know, their one-on-one activity. So I think there's an opportunity there to, to really write that narrative, to set that narrative and keep it alive and that, that entices people to go back and watch the man. Then I didn't feel that hook here. >>Yeah, here's the problem that I see with has Google has this problem and Docker con did not have the problem and you know, self-serving, we did that software, but we designed it for this purpose. When I go to an event, you do guys too. But personally, when I go to an event face to face, I like to get a sense of what the collective group at the event is thinking. I fly there, I'm present. I can see the presentation. I can see the pack breakout sessions. I know it's not back. I can get a sense visually. And with my senses on what the collective voice of the group is at an event, does it suck? Is it good? How's the band? What it's, what's the hallway conversation. So I can feel that I had none of that with Google next. Okay. Like, I didn't know, five, no, I had no other than some random things on Twitter, I had no sense what the collective ecosystem thought of the event. >>And I think a lot of the events have that problem where you can do both. You could have the rallying moment where there's a group collective coming together and send people to do that and still have the asynchronous consumption, organizing the content. But that's one of the main benefits. What is what's, what's going on with it? What's the voice of this collective? How are people thinking about this? And who's there? Who can I connect with and maybe follow up with, I didn't feel that this was simply a bunch of videos posted fundamental. Yeah, absolutely. John, >>If you can't feel that energy, is there a Slack channel, is there some chat group, uh, is there some way that, that you can be involved? Uh, definitely a missed opportunity, especially Google's got great collaboration tools. They're tied into all of our calendars would have been something that they could, uh, make ways that we could engage and find out. All right, John and Dave, thank you so much for helping us, uh, you know, really dig through a lot, going on. As we said, this nine week event, uh, we we've got a playlist, uh, that we're, we're going to be broadcasting for some of the key executives. Got, got a lot of the news here. And after this week, which was at modernization, we do have a couple other interviews that will be, uh, coming out, uh, when we have them, but be sure to check out the cube.net, uh, for all the upcoming, as well as search, to be able to find the previous, uh, content there, reach out to at furrier at diva launch date, or meet at Stu for any feedback or comments. We'd love to get your feedback, especially in these times when we can't all be together. So thanks John and Dave for joining and I'm Stu Miniman. Thank you for watching the cube.
SUMMARY :
From around the globe covering Google cloud. We've got a great lineup that we're going to share with you of our coverage thought event. Hey Stu, great to see you remotely. in and you know, what are you hearing? And I think the fourth and we saw this earlier this year with Looker is, you know, I mean, again, these are basic things that you have to do as part of any large you know, where they sit for the longest time it's been, you know, the number three or the number four where And I think there's a couple of points here. I like one of the interviews that you did, uh Suneel prody, uh, it was, it was the number two over at Nutanix. I got to say, one of the things I'm impressed with is I've always liked the product And I think there's issues there. So, you know, how will Google differentiate themselves and make different I mean, they have put stuff down on paper, but here's the problem that Google has to overcome And I think Google needs to understand that. And of course, other, you know, much smaller resellers and partners. And I think Google has that challenge. They've got interesting things to get, you know, deep solutions, leveraging Kubernetes. Uh, you know, Dave, you mentioned like VMware, So we're seeing some maturity here, but you know, Dave, if we look at the multicloud market, and you can see the hyperscaler guys, you know, that's where you want to be Microsoft AWS. And I think Google, from a standpoint of ant dos, they, again, they have to be trying So if you look at security and you look at identity, This multicloud thing hits a home run with operators, because if you can create an abstraction layer between I think that, you know, I'm glad you brought that up, John, because I think Cove was a two edged sword for them. I think you wait in that it may have to wait until after COVID. And I think that is a weakness, um, and on Google's formula and they got to just make that easier. I mentioned that at, at the start, this is week seven of nine of what Google is doing. Well, I mean, just to, you know, Tim, Dave will weigh in, but I'm pretty hardcore on my criticism of most of these virtual And this is consistent with other events. And I think that's, if they had to go back and do a Mulligan, I would've, they would've probably would've done more I guess they have analyst programs too, but I felt like they, weren't certainly not even close to what you have And I think I didn't have any much attention cycles to it because And I think Google may or may not do nine weeks. And I think that's cause you know, the media picks it up and I think it's, it's imperative to really do a Yeah, here's the problem that I see with has Google has this problem and Docker con did not have the problem and you know, And I think a lot of the events have that problem where you can do both. uh, is there some way that, that you can be involved?
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Milin Desai, Sentry.io | CUBE Conversation, March 2020
(vibrant music) >> Everyone, welcome to our Palo Alto studio. I'm John Furrier host of theCUBE. We're here for a digital conversation. Part of our new digital events, part of our new structure of bringing people into the studio and also doing remotes. We'd love to do that in the era of the travel bans, but it's always great to have local Silicon Valley executives and startups here. Milin Desai, CEO of Sentry IO is here with me. Former VM-ware industry executive, CEO of Sentry IO hot startup. Thanks for coming in. >> Thank you for having me. >> So you can drive in. You don't have to fly anywhere. It's all good. No wearing masks. The coronavirus is crazy. I'm so glad we have you at this studio and get this content acquisition. Thanks for coming in. I want to get your take on your company before we get into the industry thing. I think you look at some of the most successful categories that just came out of nowhere. You know, you look at AIOps for instance in driving, you know, observability. But what is observability? That beginning, that comes with public page or do the list just goes on and on. The cloud has created this agile market where real time and then a lot of automation is going on so whether it's error logs like a Splunk does and that's scaled up. You get to doing something variation with software code that's not just something breaks, a phone rings. There's a lot a going on. You're this really kind of the tailwind here for you with cloud scale. What does Sentry doing? What's their secret sauce? >> So, the simplest way I would put it is we help you measure and monitor your code in production in close to real time. So what does that mean? You look at all, all of the companies that we talk about, whether it's a John Deere on one end or a Spotify on the other. They're all getting more digital in nature, which means they all trying to interact with their customers more often, building apps with an interface with an API. And as we all know, through our own personal experiences, if you don't get a great experience, you simply move on. So, you pull up your app, you pull up Uber, it's not working, let me look at Lyft. Right? That's the kind of consumer behavior that's starting to take in. >> So-- >> Meaning you don't really know as the owner of the app if they're abandoning or not, it's just down sales or? >> Correct. And so, what we do is we help developers monitor how the usages of their code in production. So, as users hit editors, a checkout button is not working or a user is having a bad experience on a mobile phone, whereas the same application on a browser looks fine. We in real time giving notification saying X number of users on this type of device, on this type of interface are having issues. And not just that, it's an alert, it's an alert that says this is the issue, this is the line of code where the issue's taking place, this is the potential commit that you did in your getRepository, which is causing it. So, it's the full kind of metadata around the issue. Which typically would be, what, two days? I take it as filed. Support me, look at it. Hey, customer has an issue, let's reproduce it. Well the customer is gone. So this is all done in real-- >> Or it could be a complete blindspot too. You don't know, right? This is the thing. This is why I love this whole digital transformation role where instrumentation is re-imagining how everything's being done. So for instance, you could see a code push and you go, okay, it's in production. And then why are sales down? Why is usage down? And then you've got to do a postmortem. >> Correct. >> No one called, just going what the hell happened? Fingers are blaming. He did it! Here you're trying to get to the point where you can see that error earlier or before or after, during as it work. >> It's almost in real time. Close to real time. As the user has the error immediately through either PagerDuty, Slack, email, whichever your communication medium is. You get to know a user or a set of users are having an issue. You click it, you go to this portal. All the metadata is right there. So, it's in real time. And so to exactly your point, it's not after the fact. >> Yeah. >> Right, it's happening. And so, the CTO of tackled.io, said it best, it's a startup that helps companies get on to marketplaces. He said, "Hey, we found issues before our customers even filed a issue against us." So, you know, this helps us deliver true customer experience, as a development team. >> So, on the developers that target profile get that and they're coding away. They don't have time to do research. They'll be like, "Oh, I better bolt on some instrumentation here." That's been the successful move. Look at like what Datadog has done in DevOps. Just the easy onboarding, free use it. Is that the same model you guys are taking this free land, adopt then expand. So, is it a freemium, could you explain the business model? >> Yeah, so, a Sentry is a open source. And so customers can take the piece of software that we have as is, fully functional and run it themselves on their data center on their cloud, or they can choose a SaaS version from us and we offer kind of like a free version and then you pay for the plan. So, what we typically see is customers turn it on, developers turn it on and they like it. And then, the best score I got recently was, one CEO who said, "Hey, you know, I don't send you that many events, but I see the value of what you do, so I decided to pay you." Right, so, they went from free to paid. And that's kind of typical pattern that we see. And the best thing about this is, it takes you approximately four lines of code to get started. Four lines of code in your code and you get started getting the benefits of Sentry. >> What's good sign for monetization when you got the paying it forward literally with cash. I want to ask you the difference between the open source version because I saw in the origination story it's really interesting. They were at jobs and they saw this side project grow into a real opportunity. And it's always good to see the open source not die, right. So, this been maintain the project. When would someone use the open sources? Is that the hardcore folks or, so SaaS, obviously makes sense. It's easier if you're doing a lot of the extra support and whatnot on top of it. But what's the use case for the folks who are going to bring it in house loaded on their cloud? >> I think we'll leave it to our customers to decide that. And we've seen, folks who say, "Hey, you know, we have, we're going to try it out, it's a small, we have got a good DevOps practice. We're going to get it up and running." Here's what happened with one of my teams at VMware. The engineer in charge looked at it and said, "It's not worth my time given what the price on SaaS is." Right, so, like our smallest plan is $29, which satisfies most startups or small software projects. And his point was like, "Hey, you know, it's almost better for me to start and using that versus--" >> Well they weren't using NSX. I'm sure Pat Gels would be like, "Get shipped the next product." Well this is the trade off, right? I mean, so that's what's beautiful of open source. You want to bring it in and make it work for yourself. That trade off has to be economically there. >> Correct. >> So you have a nice balance of if you're hardcore, no problem. >> Please use-- >> Use it, contribute, be part of the team. But if you want ease of use and all the bells and whistles and the speed. >> I think it comes down to what we are starting to see, which is, how much do you care about getting to value faster and where is your value? Is it in kind of running and operating all these pieces of software or is it in, you know, getting value to your end customer? So, if you are focused on building your business, we are this value add that kind of gets you there faster. So, stop focusing on kind of building the infrastructure. Start delivering kind of the value to the business. >> So I'm going to ask you, so, are you the CEO? So the founders who I've not met. I look forward to interviewing them. They seem pretty cool. I'm sure they probably say, "Oh this guy from VMware, he's probably the big company guy." 'Cause they were like, we're going to Dropbox now. Engineers, I could almost imagine their, what they're like. Probably skeptical, this is VMware guy. How did you get through the interview process? Obviously, you're the CEO, you made it. Were they skeptical ? What worked? Why you, why'd you go there? >> You know, the best thing about this transition is Chris and David. So, David was the CEO. He is now the CTO. He's the founder creator along with Chris. And it was his decision, to bring someone into the company, given that we are seeing this, you know, we are now at 20000 plus customers and he felt like he wanted to kind of go back to building and creating and bring a partner in crime. So, that was the good part. I would say like, we started talking and we are at the same energy level, you know? So, I think it just worked out in the way we communicated. And you've known me for a bit. I'm kind of hands on. I like, you know, to kind of get into things and build businesses. So, I think the profile matched out and both of us took our time. So it was, a long dating process, where we got to know each other. Not just as, you know, what we do for work. But, you know, how we operate and had coffee and lunch and dinner and--- >> Well, it is a dating, dating and marriage is always thinking, but the founders are, it's a tough move to make. I mean, for founders to be self-aware, to bring in someone else. But also the fit has to be there. And a lot of entrepreneurs just check the box and try to hire someone too fast that could fail or gets jammed down by the VCs, you know. So, the founders are pretty kind of reluctant. So, that's interesting that you did that. >> Yeah, he's been thinking. You know, the thing about David is he's super thoughtful and hopefully you'll get to see him soon. He's been thinking about this for a bit. And he took his time. And he worked through the process and that's why I said it felt like we were not just talking about, me joining as a CEO, as much as us getting to know each other and building this for the long run. And so we really took our time on both ends--- >> And he want to to get back on the engine of the business? He's a developer, right? He's like the code. >> Just don't want to, >> It was-- >> 20000 customers, you going to get hiring people. It's HR issues. This probably, I don't want to do that. >> That and you know it was kind of the personality thing, right? Grit and grind, you know. We kind of, can somebody come in and have the passion, the same that he believes in what we do. And he saw that and I saw that in him and I'm like, this is a great opportunity that I cannot forego. >> So talk about the, I say love modern, the modern startups because, you know, you're on the right side of history when you got cloud at your tailwind and kind of DevOps, like vibe you get going on with, I know it's not DevOps, but it's common like cloud scale and the agility. How are you guys organized? You guys have virtual teams. You have a central office. Is there a physical place? Do people come in? What's the, how is the company's philosophy on work environment? >> So, we actually have three locations. One in San Francisco, which is the headquarters, where we are located. And then in Vienna, Austria, where one of the early engineers and pioneers live. And so we built around that person and that location. >> No one's complaining about that. >> No. >> Vienna's not a bad place there-- >> Not a bad place. I haven't visited yet. (laughs) I am looking forward to it. I was supposed to be there in April, but, given the circumstances, I'm postponing it. And we recently started this past year in Toronto. And so, we are--- >> So three strong areas for tech talent for sure. >> And then we do have some employees working from home. So, we try and hire the best, and then we accommodate. But we do try to kind of cluster around these three locations. >> So, I got to get your take as the CEO, obviously we're all grappling with this, work at home, Covid 19, the coronavirus, is impacting. Everything's being canceled here in Silicon Valley. I would say Seattle has more of a hotspot than our area. Mostly China as China. What's the view that you guys are taking right now? You're telling people who work at home. Obviously, events are being canceled. Places where people doing Biz Dev, KubeCon was canceled, Dell Technology World is can-- I mean everything's being canceled. How's that affecting your business and what's your philosophy? How are you guys are executing through this tough time? >> I think as a company we've kind of taken the step for having people work from home and we did it on a location by location basis. So, for folks in San Francisco, especially because folks who are commuting on public transportation and other things. We wanted to make our team feel comfortable. And so we've instituted a work from home policy, for, I think we said two weeks, but I think it's going to keep going until we get a clear signal from the government, both locally and at the federal level. So that's kind of where we are as a team. And then what we noticed was the Austrian government kind of had similar regulations of everyone's working from home. Slack, you know, Google Hangouts. We spending a lot of time on video, making sure we are connected as a team. And you know, just that spirit of how we operate and talk to each other continues. As a business, we are a bottoms up business. So, what I mean by that is folks sign up, they use the product. And developers are right now globally still fully functional. The only difference being they're now working from home. So we feel like as a business, we'll be fine. And we are ensuring that our customers through this transition and through this period of kind of unknowns are able to continue to be successful for their customers. >> It's funny, I was talking with someone, it's like there's going to be some, obviously, sectors, like events are going to take a big hit. South by got canceled, Coachella's being canceled. All the tech events are being canceled. That's why we're going to be doing our stuff at the studio with virtual events, for theCUBE. But certain things are going to be different. You going to see pregnancy, boom. You know, nine months later, people are going to be having kids cause they're home alone or divorces depending on how you look at it. But productivity, developer wise has been talked about as actually developers want to just crank out some code. They don't have to come into the office. You can be more, I mean you can still be productive. Developers have been doing this for decades. >> I think-- >> At least if they are more. >> You know, I think you, you know, I think there might be a scenarios of adjustment, a period of adjustment. And then folks will get comfortable. So, it's super important to create that engagement model. Whether, do you have the tooling to keep the team engaged. And there companies that are completely remote. And so we're making sure we learn from their best practices around that. But I do believe that, for tech companies or even for manufacturing companies focused on building software, developers are going to be productive. >> Okay, so a baby boom's coming, divorce rate's going to go up and productivity is skyrocketing. (both laugh) >> For developers. >> For developers. Well, I mean it's a good time. Okay, can I get your take on the industry now. Honestly, putting all the coronavirus aside, we saw a surge in public cloud check. Done. And ask you when your VMware with NSX coming in and becoming the engine with software defined networking as part of the Series piece. You're starting to see hybrid clear as day. It's going to happen. Multi clouds on the horizon. So, you now have a three wave cloud game going on. Wave one, done. Wave two is hybrid. Wave three maybe bigger than them all with multicloud. Do you agree with that trend analysis and what's your take on that? >> So, this is where I'll probably kind of look back at my time at VMware. I think, you know, definitely see the multicloud wave catching on. But I would use the word multicloud as in, not a app spread across three clouds as much as, you know, a company choosing to have a certain assets in AWS, certain assets in Azure, certain in Google. So, I don't see yet this idea of an app being stretched across the three clouds but definitely, while I was-- >> VMware tried that. (both laugh) >> While I was at VMware and in talking to customers, we definitely saw adoption of multiple clouds. And that's where when I was working with the cloud health team, this idea of managing cost and security across three clouds became very common as a pattern that came up. You definitely see that as a kind of directional thing that a lot of organizations are doing. >> Yeah, the idea of just rapidly shifting up workloads based on pricing, all that stuff. I think it's aspirational at best because development teams are now just getting their groove on with hybrid and operation, cloud operations. So, I can see a day where if you can manage the latency network issues, maybe some day, but I mean, come on, really? I think about how hard that is, just latency alone. >> And the issue is like, architecturally you have to make really good choices to get there. So, I think you might see that in like kind of tech software firms. We're thinking about, how do I stay cloud neutral? But for the most part, if you want to take the full value of AWS or full value of GCP, you want to go deeper in there. And use all their services. >> Yeah, I think that's great insight. Let's riff on that a little bit because one of the things I was talking to Dave Alante and Stu Miniman about was, if you look at the multicloud, I don't think it's going to come from a vendor. I think if you look at the success of the Facebooks of the world, even Dropbox where your founders came from, early on, they had to just basically build it from cloud native, from ground up. And all the hyper scalers use open source. They built all their stuff. No one was selling them anything. They just did it. So, I think you'll see smart architectural moves, but that'll be the unicorn. That'll not be the standard. That'll be the exception, not the rule. I don't think you can sell multicloud, in my opinion, yet, or I don't think that'll even be possible. But I think someone will come out and say, make those architectural decisions saying, "I have an architecture that works multicloud because we architect it that way." >> Yup, yup. And I think that's kind of the more, kind of from an engineering standpoint, I think you'll see more of that. I think from a, you know, from a kind of solution standpoint, you will see folks saying, "I will help you manage or secure or build into each of the clouds and give you kind of common pattern versus the latter of it." And engineering team says, "Here's a way to architect for multicloud." >> You know, we pay a lot of attention to the next gen kind of psychologies. Obviously, we do a lot of coding on with our cube cloud that's coming out now. But, how do you see the founders you're working with and that in this new peer group that's developing. I call it, the next gen entrepreneur, technical entrepreneur. As they look at the vast resources of cloud and all of the data opportunities there and mobility, internet things and all this stuff going on. What is the general mindset right now of these kinds of entrepreneurs from a technology perspective? How are they looking at the problem space? What's your take on this new landscape as an entrepreneur? >> Yeah, I'll give you kind of what got me super excited about Sentry. Like how, why did I think about that? Which is if you look at 2000 to 2010, we did software defined infrastructure. Things started moving into software. 2010 to 2020 was, as you correctly wanted a cloud, hybrid, everything became kind of as a service. I think this next decade will be about data. So, companies using the data to get a competitive advantage or figuring out, you know, how to stay ahead, whether it's competitively or even to win a market. And the other aspect of this is because everything is so, as a service, API centric, I think it's going to explode how we develop things. And I think this is going to be truly now the decade for the developer, who's going to make deeper choices, greater choices, buying decisions. And so, with data kind of exploding, and the management of it and getting insights out of it is one aspect of it. And, you know, as somebody who's looking at Sentry, we do a lot of that, right? Which is how are customers using it? What are they using? What languages? And everything else that goes with that. But on the other end, developers are going to start kind of using things and create a whole new set of use cases that's going to change the way we think about it. So I think there's a whole set of elements around how to use this infrastructure to build new applications, creative products, that is going to be a massive boom. >> I think that's a great point. I think that's great insight. Because you think about observability, which I was just joking earlier on about, but I think the relevance observability is network management applied to value real time, right? Because if you can instrument everything, the smart people are going to saying, "Hey, I can just instrument this and get the data I need rather than dealing with this hassle process we had before." So, it brings up that kind of philosophy of kill the old to bring in the new or something new that kills the old. So, it's an interesting phenomenon. I think it's very relevant. But I want to get your, question as a CEO now, you've got, you're at the helm, helm of a company is technical. And talking about architecture, what's your architecture for the venture? What's your plans? How do you see the, you said you're going to come and build this next level growth. What's your architecture look like? Are you going to, do more of the same? Any new things that we see? What are you going to... What's your plan? >> Fundamentally, you know, we as a kind of set of users in the world today, have spent a lot of time monitoring, as I told you earlier, machines, systems and applications, right? And so there's a lot of successful companies doing that. But if you fundamentally believe that this is the decade where you're going to write more code than we've ever before or refresh more applications than we've ever before. Our focus is code and how it does whether it's in a staging environment, in a canary deployment, or in production. How do we measure code and monitor code in production. And the impact of that code to the end users. So it could be errors and now increasingly code performance. So you will see us kind of venture into this idea of helping developers. Not only find issues that they run into production like we talked about before, but also be able to say, looks like over the past three releases, our logins per second have gone down progressively by 10%. Why is that happening? Where is that happening? Which team made that change? So, you will see us kind of really double down on this idea of measuring and monitoring code going forward, complimenting how we measure monitor systems, machines and applications today. >> Yeah, I mean, code has got to be managed, as people more, people contribute. It's like a compiler for the compiler. (laughs) >> It's like if code fails, your business-- >> Code for the code. >> Yeah. >> Meta three meta meta as they say, but code for the code. But that's, it's basically code management in a way, right? It's the code data. You're leveraging that code relationship to the application. >> And so we talk about applications a lot. And so we write code, we store code, you know, in a getRepository. Now there's a whole set of elements around securing it. We deploy it. What about measuring and monitoring it? That is the element where we focus and kind of bring that whole cycle together. Helping that application developer be successful. >> What's it like for you going from VMware to the startup? What's the biggest, coolest thing that's happened? >> It's been a great transition. You know, and I always say this to folks who ask me for career advice. They say, always choose the people you work with and the people you work for. And I've been fortunate enough to do that and I think this transition has been great for that reason alone. Which is I've had the time to get to know the team at Sentry. They got to know me and it's just been, it's been fantastic. I think the velocity of and the pace at which I can make changes, has been the most fun part of it. >> And you've got like 25, 20000 paying customers 50000 total customers roughly in that range. Pretty sizeable. Employee count, how many employees do you have? >> 100 plus employees and-- >> Still small, still small. >> Yeah, still small. And we're going to probably double this year, give or take. And you know, it's 20000 customers from every startup. I've spoken to a startups, over 100 startups in two months. And it's amazing to see their reaction and their love for Sentry. >> And funding, how many rounds of funding have you guys done? >> We just finished Series C, in September of last year. 40 million, any Accel growth. So, we feel really good about where we are. With the revenue ramp that we've seen, we're in great shape. >> And pretty good numbers in terms of a head count too, very leveraged SaaS model. Get the developers. >> Yes. >> Great. Well, we're going to be entertaining a lot of developers at DockerCon this year. DockerCon used to be an event for Docker. Now they sold half the business to Mirantis. They're focusing on Docker developers. We have an event here. We're doing a virtual event. So, a lot more developer action coming. We'll talk more about that. Love to meet your founders, have them come in too. We want to thank you for coming on. >> Thank you. >> Milin Desai, CEO of sentry.io, former VMware executive with a great hot startup, Series C funded, growing here in Silicon Valley, San Francisco and in Austria. I'm John Furrier with theCUBE. Thanks for watching. (vibrant music)
SUMMARY :
but it's always great to have local Silicon Valley I think you look at some of the most successful categories So, you pull up your app, you pull up Uber, So, it's the full kind of metadata around the issue. and you go, okay, it's in production. you can see that error earlier And so to exactly your point, it's not after the fact. And so, the CTO of tackled.io, said it best, Is that the same model you guys are taking this free land, but I see the value of what you do, I want to ask you the difference between And we've seen, folks who say, "Hey, you know, "Get shipped the next product." So you have a nice balance and all the bells and whistles and the speed. So, if you are focused on building your business, I look forward to interviewing them. and we are at the same energy level, you know? or gets jammed down by the VCs, you know. You know, the thing about David is he's super thoughtful He's like the code. 20000 customers, you going to get hiring people. That and you know it was kind of the personality thing, and kind of DevOps, like vibe you get going on with, And so we built around that person and that location. I am looking forward to it. So three strong areas And then we do have some employees working from home. What's the view that you guys are taking right now? And you know, just that spirit of how we operate or divorces depending on how you look at it. So, it's super important to create that engagement model. divorce rate's going to go up And ask you when your VMware with NSX coming in I think, you know, definitely see (both laugh) And that's where when I was working So, I can see a day where if you can manage And the issue is like, architecturally you have I think if you look at the success of the Facebooks or build into each of the clouds and give you kind of and all of the data opportunities there and mobility, And I think this is going to be truly now the decade kill the old to bring in the new And the impact of that code to the end users. It's like a compiler for the compiler. but code for the code. That is the element where we focus and the people you work for. Employee count, how many employees do you have? And you know, it's 20000 customers from every startup. With the revenue ramp that we've seen, Get the developers. We want to thank you for coming on. and in Austria.
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Pete Gerr, Dell EMC | RSAC USA 2020
>>Fly from San Francisco. It's the cube covering RSA conference, 2020 San Francisco brought to you by Silicon angled media. >>Okay, welcome back. Everyone's keeps coverage here in San Francisco for RSA. Copper's 2020. I'm John Farrow, your host, you know, cybersecurity industry's changing and enterprises are now awake to the fact that is now a bigger picture around securing the enterprise cause it's not only the data center, it's cloud, it's the edge. A lot of great stuff. I've got a great guest here from Dell, EMC, Peter Garris, consultant cyber resilient solutions and services marketing, uh, Dell EMC. Great to see you. Thanks for to John. Good to see you again. So you know, I was joking with Dave Alante just this morning around the three ways of cloud, public cloud, hybrid cloud, multi-cloud. And we see obviously the progression hybrid cloud is where everyone spend most of their time. That's from ground to cloud on premises to cloud. Yep. So pretty much everyone knows around on premise is not going away, validated by all the big cloud players. >>But you've got to nail the equation down for on premises to the cloud, whether it's Amazon, Amazon, Azure, Azure, whatever, all those costs. But the multicloud will be a next generation wave that is an industry backdrop and it's very, very key. Plus AI and data are huge inputs into solving a lot of what is going to be new gaps, blind spots, whatever insecurity. So I guess, you know, Dell's has a history with huge client base, traditional enterprises transforming. You're in the middle of all this. So you've got, you know, the airplane at three to 30,000 feet. Yep. And the companies have to swap out their engines and reboot their teams and it's a huge task. What's going on with cyber and the enterprises? What are, what are some of the key things? Well, so I like to keep it pretty simple. I've been in this industry over 20 years and I've really consistently talked about data as the global currency, right. >>So it's beautifully simple. Whatever industry you're in, whatever size company you're in, enterprise or even now, small to medium businesses, their businesses are driven by data connectivity. That data availability of the data, integrity of the data and confidentiality of the data, and so the sort of the area of the world that I focus upon is protecting customers. Most valuable data assets now, whether those are on prem, in the cloud or in a variety of modalities, and ensuring that those assets are protected and isolated from the attack surface and then ability to recover those critical assets quickly so they can return resume business operations. That's really the area that I work in. Now, that data, as you pointed out, it could start on prem, it could live in multi-cloud, it can live in a hybrid environment. The key is really to to understand that not all data is created equally if you were to have a widespread cyber attack, really the key is to bring up those critical applications, systems and datasets first to return to business operations. >>Really challenging. You know, it's not funny. It's actually, I just, I run it, but it's, it's, it's, it's really kind of indicative of the society now is that EMC was bought by Dell storage and the idea of disruption was always been a storage concept. Yes, we want, we don't want a lot of disruption when we're doing things right. So not know whether it's backup and recovery or cyber ransomware, whatever it is, the idea of non-disruptive operations. Absolutely. A core tenant. Now that's obviously the same for cyber as you can tell. So I've got to ask you, what is your definition in view of cyber resilience because, well, that's what we're talking about here. Cyber resilience. What's your view on this? So when we started developing our cyber recovery solution about five years ago, we used, uh, the NIST cybersecurity framework, which is a very well known standard that defines really five pillars of how organizations can think about building a cyber resilience strategy. >>A cyber resilience strategy really encompasses everything from a perimeter threat detection and response all the way through incident response after an attack. And everything that happens in between protecting the data and recovering the data, right? And critical systems. So I think of cyber resilience is that holistic strategy of protecting an organization and its data from a cyber attack as great insight. I want to get your thoughts on how that translates into the ecosystem. Okay. Because there's an ecosystem around cyber resilience. Absolute, let's just say, and you may or may not be able to comment on this, but RSA was now being sold. Yeah, no, that's fair. That's going out of the Dell family. But you guys have, you know, obviously VMware and insecure words, but it's not just you guys. It's an ecosystem. It really is. Does Dell now without, with and without RSA fit into the ecosystem. >>So as I mentioned, cyber resilience is really thought of as a holistic strategy. RSA and, and other Dell assets like carbon black, um, fit in somewhere in that continuum. Right? So RSA is really more on threat detection and response, perimeter protection. The area of the business that I work on, data protection and cyber recovery really doesn't address the, um, prevention of attacks. We really start with the premise that preventing a cyber attack is not a hundred percent possible. If you believe that, then you need to look at protecting and recovering your assets. Right? And so whether it's RSA, whether it's carbon black, whether it's secure works, which is about cyber incident and response, we really work across those groups. It's, it's about technology processes and people. It's not any one thing. We also work outside of the Dell technologies umbrella. So we integrate, our cyber recovery solution is integrated with Unisys stealth. >>Uh, so there's an example of how we're expanding and extending the cyber recovery solution to bring in, you know, other industry standards. You know, it's interesting, I talked to a lot of people that come on the Q of history here at RSA. Sure. Everyone wants better technology, but this also has shipped back the best of breed because you one of the best new technologies. At the same time, you've gotta have proven solutions. So what are you guys selling? What is the best of breed from, uh, Dell? Yeah, you guys are delivering to customers. What are some of the areas? So I, I'm old EMC guy myself, right? And, and back from the days of disaster recovery and business continuity, right? More traditional data protection and backup. The reality is that the modern threats of cyber sec of cyber hackers, breaches, insider attacks, whatever you like, those traditional data protection strategies weren't built to address those types of threats. >>So along with transformation and modernization, we need to modernize our data protection. That's what cyber recovery is. It's a modern solution to the modern threat. And what it does is it augments your data or your, excuse me, your disaster recovery and your backup environment with a purpose built isolated air gap digital vault, which is built around our proven data domain and power protect DD platforms. Uh, that, you know, I've been around for over a decade. Um, but what we've done is added intelligence, uh, analytics. We've hardened that system and we isolate it. Uh, so customers can protect really the most valuable assets in that kind of evolved. So one of the things I've been doing some research on and digging into is cyber resilience, which you just talked about cybersecurity, which is the industry trend and you're getting at cyber recovery. Okay. Can you talk about some examples of how this all threads together? >>What are some real recent examples? Sure. So think of cyber recovery as a purpose-built digital vault to secure your most valuable assets. Let me give you an example. One of our customers, is it a global paint manufacturer? Okay. And when we work with them to try to decide what of their apps and datasets should go into this cyber recovery vault, it said, what is the most critical intellectual property that you have? So in their Kenyan, Oh, some customers might say my Oracle financials or my office three 65 environment. For this customer it was their proprietary paint matching system. So they generate 80 to $100 million every day based upon this proprietary paint matching system, which they've developed and which they use every day to run their business. If that application, if those algorithms were destroyed, contaminated or you know, posted on the public internet somewhere, that would fundamentally change that company. >>So that's really what we're talking about. We're working with customers to help them identify their most critical assets, data systems, applications, and isolate those from the threat vector. Obviously all verticals are impacted by cyber security. Every vertical is data-driven. That's true. Obviously the low hanging fruit, are they below the normal suspects financial services? Is there, is there a particular one that's harder than having financial services got fraud and all that stuff on it, but yeah, that's still number one or so. I think there's two sides to the coin. One, if you look at the traditional enterprise environments, absolutely financial services in healthcare because they're both heavily regulated, uh, therefore that data has very high value and is a very attractive target to the Woodby hackers. If you look on the other end of the spectrum though, the small to medium businesses that all rely on the internet for their business to run, uh, they're the ones that are most susceptible because they don't have the budgets, the infrastructure or the expertise to protect themselves from a sophisticated hacker. >>Um, so we, you know, we work across all verticals. Obviously the government is also very susceptible to cyber threats, but it's every industry, any business that's data-driven. I mean, everyone's been breached so many times and no one even knows how many times. Uh, I gotta ask you about, um, um, some cool trends we're reporting on here. Sure. Homomorphic encryption is getting a lot of traction here because financial services in healthcare homomorphic homomorphic yeah. Okay. Did I say that right? Oh, it's the first time I've ever heard that term, John. I, it's encryption at end use. So you have data at rest, data in flight and data and use encryption. When you're doing all, you're protecting all your transactional data. Ah, so it's focusing with discovery. Intel's promoting it. Uh, we just covered a startup that's doing that as well. That's new, that's new for me, but allows for more use cases, but data and use, not just motion static. >>Yeah. That's opening up these other things. But it brings up the why, why that's important. And the reason is, is that financial services and healthcare, because they're regulated. Yes. Have systems that were built many moons ago or generations. Absolutely. So there was not these problems that you mentioned earlier that were built for that, but now you need more data. AI needs sharing of data sharing is a huge deal. Real time share real time. Right. And I think that's where the homomorphic encryption comes in. That's exactly right. So you mentioned that, so these industries, how can they maintain their existing operations and then get more data share? Do you have any insight into how you see that? Because that's one of those areas that's becoming like, okay, HIPAA, we know why that was built, but it's also restrictive. Yeah. How do you maintain the purity of a process if your infrastructure is, is old? >>That is, that is a challenge. Healthcare especially because, I mean, if I'm, if I'm, uh, you know, running a health system, every dollar that I have should really go into improving patient care, not necessarily into my it infrastructure, but the more that every industry moves towards a real time data-driven model for, for how we give care. Right? Yeah. Um, the more that, uh, companies need to realize that data drives their business, they need to do everything they can to protect it and also ensure that they can recover it when and if a cyber attack happens. Well, I really appreciate the insight and it's going to be great to see Dell technologies world coming up. We'll dig into a lot of that stuff while we're here on talking to us about some of this financial service in banking. I want to get your thoughts, I've been hearing this term sheltered Harbor. >>Yeah. Being kicked around. What does that about? What does that mean? Sheltered Harbor? You're right, I think you'll hear a lot more about it. So sheltered Harbor, uh, was, uh, is it isn't financial industries group and it's also a set of, uh, best practices and specifications. And really the, the purpose of sheltered Harbor is to protect consumer and financial institutions data, uh, and public confidence in the U S financial system. So the, the, the use cases, this, you can imagine that a, a bank having a cyber attack and B being unable to produce transactions could cause problems for customers of that bank. But the, just like we were talking about the interconnectedness of the banking system means that one financial institution failing because of a cyber attack, it could trigger a cascade and a panic and a run on the U S financial banks. And therefore the global financial system sheltered Harbor was developed to really protect public confidence in the financial system by ensuring that banks, brokerages, credit unions are protecting their customer data, their account records, their most valuable assets from cyber attack and that they can recover them and resume banking operations quick. >>So this is an industry group. It's an industry build group. Sheltered Harbor is a U S financial, uh, industry group. Uh, it's a nonprofit. You can, you can learn more about it. It's sheltered harbor.org. Uh, the interesting thing for Dell technologies is we're actually the first member of the sheltered Harbor solution provider program and we'll be announcing that shortly. In fact this week and we'll have a cyber recovery for sheltered Harbor solution in the market very shortly. Cyber resilience. Great topic, and you know, it just goes to show storage has never gone away. The basic concepts of it, recovery, continuous operations, not disruptive operations. Yeah, cloud scale changes the game. It's all about the data. All about the data. Still sites, RSA coverage here, cube day, two of three days of coverage. I'm John furrier here on the ground floor in Moscone in San Francisco. Thanks for watching.
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RSA conference, 2020 San Francisco brought to you by Silicon So you know, I was joking with Dave Alante just And the companies have to swap out their engines and reboot their teams and it's a huge task. isolated from the attack surface and then ability to recover those Now that's obviously the same for cyber as you can tell. And everything that happens in between protecting the data and recovering the data, right? that, then you need to look at protecting and recovering your assets. to bring in, you know, other industry standards. So one of the things I've been doing some research on and digging into is cyber resilience, intellectual property that you have? the other end of the spectrum though, the small to medium businesses that all rely on the internet So you have data at rest, data in flight and data So there was not these problems that you mentioned earlier that Well, I really appreciate the insight and it's going to be great to see Dell technologies world coming up. So the, the, the use cases, this, you can imagine that a, and you know, it just goes to show storage has never gone away.
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Sri Srinivasan, Cisco | Cisco Live EU Barcelona 2020
>>Ply from Barcelona, Spain pits the cube covering Cisco live 2020 Ratu by Cisco and its ecosystem partners. >>Hey, welcome back live to Cisco live in 2020 in Barcelona. We're in Europe, Barcelona. I'm John Ferrara, Dave Alante. We've got a great guest here and the whole theme of the show is not about the infrastructure is about the applications and the applications being powered by an infrastructure powered by Cisco. We've got a great guest, senior vice president, general manager, team collaboration, Shri Travaasa of Cisco. You run all the big products, WebEx on steroids, new announcements. You had a really killer announcements, the pack booth. We'll get into that. Welcome to the cube. Thanks for coming. Thank you for having me. What's the quick news? You're on stage giving the keynote quickly share the news. We can get into it. So we are obviously >>coming out with a set of updates to our great portfolio. We reach out to about 300 million users across the enterprise today who use us for all the way from meetings to team collaboration to calling to powering meeting rooms. So in a sense, what we have as a products that, uh, is either in the meeting room or on the desktop or on a mobile phone. So any one of those methods and mechanisms. And in the past couple of years we've seen massive adoption of video, uh, whether it'd be on the mobile phone, whether it be in your desktop or in a meeting room itself. >>So video is the key. You had an announcement with Mike, uh, Microsoft teams explain that because don't they? Don't they compete with you? >>Yes, we, we, so the best way to describe it as is it's compatibility and competition. So it's competitive to compete, um, for the sake of our end users. So end user choice pretty much drives, uh, the types of integrations we do these days. You can't leave it to an it organization to do that integration. You've got to make sure these products work. So we integrate quite a bit with our competitors, spar, Slack, Microsoft teams, zoom. We do integrate with all of those guys. And the Microsoft teams integration, um, is prefaced on providing the best real time media experience into the Microsoft ecosystem. So if a customer is using office three 65 for document collaboration and chooses us for real time collaboration, they get >>the best experience comes from. So this has been a sleepy space for awhile and then all of a sudden you've mentioned Slack, zoom comes out, big IPOs, high valuations, Microsoft kind of transitioning and gets, it's based to to teams. There's a lot of excitement all of a sudden. And I was thinking in the last year out, geez, I wonder if Cisco is asleep at the wheel, but today you had all these announcements, so obviously not asleep at the wheel. Describe what you see going on in the space and what excites you from a standpoint of what you've just announced. So I think >>over the past two years, rightfully so, there's been a ton of movement in this space and I think it's driven by, it's, it's important to talk about why it's driven by globalization of the workforce. So that globalization of the workforce has, has, has, has gotten caught steam in the past few years and you pretty much see folks being employed across the globe. Whoever has the skill gets employed in a sentence. And what we see within the confines of WebEx is an increase in user engagement. So the same user is using WebEx a lot more and we wonder why we're seeing basically cross time zone meetings go up and team collaboration as we know it is no longer across the table. It's actually across time zones, across geographies, across language boundaries. So you're seeing that happen and the power of team collaboration is not just bringing people together, it's the data in heading to within the conversation becomes the new currency. >>It's the new frontier. And you can do a whole bunch of analytics on that. You can provide information on that. You can basically bring what I would call uninterrupted work streams in the myths, which is, you know, how do you take a conversation, take a part of a set of action items out of it and basically take it all the way so that there's automation, there's least amount of transmission loss and transmission loss in a sense. So that's, that's what's causing, um, this, this industry to wake up because it's a productivity gain in knowledge worker population. >>I don't know why it's off the charts on these systems, you know, low denominator and it's so easy to justify. I mean to me this is the biggest way that people are kind of talking about, but not really specifically addressing it. And to me, I always like to look at the startup world because the startup world is ultimately the Canary in the coal mine. Cody cloud native was before cloud hit, the startups were in there wipe clean sheet of paper, all cloud. Now that's mainstream. I had a conversation with Mitchell, the founder of Hashi Corp and we were talking about the concept of virtual first. And his startup was all virtual. They didn't have an office, they could afford one, but their teams were remote. This is the new dynamic that works. And so I believe that this is going to be an enterprise requirement because this has been validated. >>You seeing people work virtually, development teams, marketing to any team, they're remote, they're at home. So this is a trend. This is real. And designing a product for virtual first versus saying, Oh, if your virtual uses Proctor was designed for this, this is really where it's coming to in my opinion. How are you guys addressing that? Because in that video is not easy. Totally not. You guys been doing video Cisco for a lot them. I know from the cable companies to make a deep packet inspection and managing packets, QoS and mean policy basis, the perfect storm for making video work better. So explain the whole virtual first and the video. Start by sharing a small little secret. I run this business and yet I'm a remote worker. Cisco's based in San, I live in Seattle. >>I live in a small town called mamasan. I'm, I'm a perfect example of who we are. It's all the. So without a doubt, what has also spurred this is the bandwidth to trust the globe, not just in the U S uh, I find that, you know, parts of Asia have very good connectivity. If you go into Korea, Singapore, it's just fantastic, right? If you go into the Western Europe, Scandinavian countries, it's just fabulous. So I think the, the fact of the matter is you, the act of working together across the table and the act of these collaboration tools bringing people together need to be the same. That's pretty much where we are all headed. We're all trying to achieve that Nirvana, making sure there's no dissonance when you bring people across video that's key. That requires not only the ability to see and hear people, but to be able to whiteboard, to be able to have a very rich and immersive conversation on biblical creation so that, you know, using like stickies on a whiteboard for example, how well can you do it? >>So those are the types of things that we are headed towards. Uh, and I w I would pretty much say you guys said it in your question. You have to design for a remote worker for a virtual work environment, which basically is all about optimizing for team collaboration and optimizing for information that's consistent across different communication types. Whether you pick up the phone, whether you are on a meeting in a persistent chat, all that transcription should look and feel the same. This is the convergence really of networking and software because software is where the action is, but the network controls the routes. So, you know, give you an example, we were doing a live broadcast in our studio in Palo Alto had Ken Jennings on from jeopardy and it was, I was so excited. It was a good interview. We had multiple guests on about AI and you know, and he was kind of our celebrity guests and he had terrible bandwidth with his house. >>I don't know, maybe his kids were playing games on it or he was downloading some Netflix, who knows, but he had a horrible visual. We couldn't control that. This is where the network optimization comes in. What are you guys doing there? You guys run the networks, you guys have access to some of the routes and looking for, you know, best route, best quality. So I think without a doubt, you know, the, your lowest common denominator leg in your network kind of decides the quality per se. Uh, but we, we continue to do things like a compression of bits on the wire so that you need the smallest amount of pipe. But at the end of the day for high Raz video, you still need a decent amount of bandwidth. And what ends up happening is it's not just bandwidth, it's uh, you know, understanding what kind of packet loss profile you have on that network. >>So what we are doing across nearly nearly every vendor today is figuring out how we can optimize for these Laci networks. So if you're talking to any collaboration engineer, um, the first interview question will inadvertently be, tell me your experience on Laci networks. What have you done, how many patents do you have? You know, that's kind of the, the discussion per se. So I think without a doubt the advent of 5g and its expansion will lead to Ken Jennings potentially having a much better experience. Right. Can you auto scale, not auto scale, but auto detect? Yes. That cause that's something that could be automated. And we, we automatically, we call it graceful degradation. So we start with aspiring for the 10 ADP. Then we'll bring it down to seven 2360 and no video. And that happens automatically and we let the end user know you're having a network blip and hence, uh, we have, we are degrading it or today's product. Yes. >>So years ago when you, there's video conferencing, you just have to show 15 minutes beforehand just to make sure everybody get on. Okay. So simplicity is another big adoption theme, whether it's one push phone calling or call me or whatever it is. At the same time, you've got to add functionality. You've had a transcription, you've had a translation, you've got the split screen. And when I stand up, the camera follows me. So are those counterpoints simplicity and functionality, how do you integrate those together? >>I think the, the, all of this is done in the quest to simplicity, right? Um, one of the key things we've done across the Cisco WebEx portfolio, we've been known as the stodgy characters. Um, you know guys who don't move fast, which is exactly the opposite, to be honest with you. We worked on making sure we get rid of, I'm going to use the word here, nerd knobs in the product optimized for the simple in a meeting, there are three things that matter. Three big use cases, scheduling, joining in, meeting quality. Those are the only three things matter. The rest doesn't matter, right? So if you look at our devices, if you look at everything, we have this consistent green button that shows up everywhere. Whether you bring up outlook, whether you bring up an iPhone calendar, whether you bring up a desktop in one of our devices, all of those things will have this consistent green bar. We don't, we never want the end user to miss it. See it hit it. It'll show up at the right time. Basically shows up between six minutes and the 40 minute Mark before the meeting. >>And by that in meeting quality, you mean the experience overall, how hard it is to share something or >>actually can you see that person? Can you hear that person, you know, things of that sort of, right. You know, how do you avoid echos in a meeting? Like, what if I turn on both audio multiple times in a particular echo, right. As I mentioned in our last interview, Sri about um, uh, the previous guests around, they want API APIs cause it was like API APIs. It's kind of a trend towards a thin, I won't say thin client cause that's some kind of an old, old word. But um, more efficient source code on the client side, not bloated >>software in the sense of having all these bells and whistles. I mean, I mean at some point you're going to use, right? It could be an advanced version. Maybe you have a tiered thing, but at the base set, how do you create software in this modern error so that you can have really fast software managing front end with the powerful backend. You think about, Hey Siri, you know, there's the front end, there's a back end. So you starting to see this kind of decoupling. How do you guys look at that as it changed the development thesis? Is that something that you guys are thinking about? What's your take on all that? >>Yeah, without a doubt. Right? So we, we, we constantly optimize media is a very different workload than for example, a commanding tool. Right? Yeah. Uh, and I don't mean to trivialize city or any other assistant media is hard when you're doing video. The app needs to have some intelligence to be able to disintegrate audio and video streams and content sharing, right? So these apps tend to have a bigger footprint on the desktop, on the mobile phone than other traditional apps. So there is a constant quest for that additional bit of optimization to reduce, you know, substantially reduce the juice you use out of the laptop. Uh, and with laptops becoming more and more powerful, mobile phones becoming more and more, more powerful, we are only able to bring more, more into that big tree. >>Yes. And the rich media is only getting more and more robust with video. Look at the gaming world. My kids got their rig set up, multiple monitors. I mean, it's a lifestyle experience, consumption of video. It's all, it put more pressure on you guys. It's hard. We know we do it. How, what's the, in your mind, what's your guiding principle for future innovation? Whether you're hiring, designing around video, what do you guys chasing that Nirvana? What is it? Is it the software, the hardware? It's a chips. >>I think it's a combination of them, right? If you look at Cisco, our inherent differentiation is we know, we know how to do software. We know a thing or two about networks. I mean no hardware. How do you bring these three together and there's a four to dimension, I'm going to call it quad. And it's security. You can't ignore security. You know, it's, it's something that you have to intrinsically think about. It's not a check by check box after you don't want somebody peeping Toms in their meeting. For example, everybody is simply >>back in the cams. Jeff Bezos has got hacked on video on his WhatsApp embedded malware. So are all kinds of weird things that come through. You don't know. >>I think it's, it's the amalgamation of all of these things. How do you maximize every single element of the pipe? Um, so we are working with, for example, our own DNA center methods and mechanisms by which we're saying based on our workload, how do we optimize the next look for our workload. When we find an issue within let's say WebEx, how do we automatically self heal the network? That is basically where we are headed. So we want to make sure we are constantly stack up and down the stairs, down the stack. And the other, you know you've talked about simplicity of use case. I'll give you an example. What we're doing with our devices now as it has face recognition, we don't store any, any images in the cloud. So as soon as you walk into a meeting room, we've got an IOT sensor that it recognizes your face. >>It says, Hey, let me pull up your meetings. It starts to track who all have joined your meeting. And then let's assume you forget to join the meeting. It wakes up and it says, would you like to join the meeting? Two of two of your colleagues have joined so you don't even have to hit the button. It is germaphobe friendly. So you don't have to touch. It binds you in basic automation. So that level of automation is coming in. So you're talking about the future. The future is about simplicity. That spans generations. So you're pretty much worn the human to come back and for the tech to fade away in the back of them. If you don't want them to be reliant on this app that you have to learn, right, it should be discernible, relatable, easy to use. >>Works like the movies in history. You're a rock star. I'm great to have you. In fact, now we know you live in Seattle. We're going to have you in our studio remotely and we're gonna make sure that bandwidth and that video is of highest quality., the SVP, senior vice president, general manager of the collaboration group of Cisco. Big part of the future of Cisco. This group is going to be really driving some of those network benefits. The applications are big part of the focus, changing the business models, business outcomes. This is the conversation is the cube coverage from Barcelona. We'll be right back after this short break.
SUMMARY :
Ply from Barcelona, Spain pits the cube covering You had a really killer announcements, the pack booth. And in the past couple of years So video is the key. And the Microsoft teams integration, um, is prefaced on providing Describe what you see going on in the space and what excites you from a standpoint the past few years and you pretty much see folks being employed across the globe. which is, you know, how do you take a conversation, take a part of a set of action items out of it and I don't know why it's off the charts on these systems, you know, low denominator and it's so easy to justify. I know from the cable companies to make the globe, not just in the U S uh, I find that, you know, parts of Asia have very We had multiple guests on about AI and you know, So I think without a doubt, you know, the, your lowest common denominator What have you done, how many patents do you have? At the same time, you've got to add functionality. So if you look at our devices, if you look at everything, we have this consistent green You know, how do you avoid echos in a meeting? So you starting to see this kind of decoupling. to reduce, you know, substantially reduce the juice you use out of the laptop. designing around video, what do you guys chasing that Nirvana? You know, it's, it's something that you have to intrinsically think about. back in the cams. And the other, you know you've talked about simplicity of use case. So you don't have to touch. We're going to have you in our studio remotely and we're gonna make sure that bandwidth
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Dirk Didascalou, AWS | AWS re:Invent 2019
>>LA from Las Vegas. It's the cube covering AWS. Reinvent 20 nineteens brought to you by Amazon web services and they don't care along with its ecosystem partners. >>Hey, welcome back. Everyone is the cubes live covers in Las Vegas for AWS. Reinvent 2019 it's our seventh year covering Amazon reinvent. They've only had the conference for eight years. We've been documenting history. I'm John Farrow, stupid man. Dave Alante, John Walls, Jeff, Rick, they're all on the other step two sets sponsored by Intel. Want to thank their support without their generous support to our mission. We wouldn't be able to bring this great content. Our next guest to talk about the IOT edge jerk DDoSs column. Perfect. Welcome back. VP of IOT. Well the Greek names. Yeah, I'm half Greek, half German so I can expect, okay. Is smart. Good. So Derek, I gotta ask you, so IOT is hot. Explain quickly your role at AWS because you're not an I-Team specifically define your scope. So my scope is owning all or my team's sculpt is owning old software services and tools that deal with non it equipment. >>So when you go to AWS and look for IOT, all the service that you'll find, that's the scope of my teams and this it group which have all the it stuff and just feels like cars, manufacturing sensors, all of the axioms for the NFL, all that good stuff. So women, you're going to see Edelweiss so I go AWS, amazon.com and then you're fine either. means all of our compute, all of our databases, all of our storage and there's also all of our and Melanie and I and then there's an IOT section and there you find all of the goodness that we do for IOT. You know, it's exciting. Stu and I talking about all week here, the whole cloud native, you take the T out of cloud native, it's cloud naive. You've got the general commercial business and public sector barely getting their act together. They're transforming, they're doing it now. >>He's $1 trillion on a vouch. Trillions of dollars of of change coming. Good up business opportunity. But if they're having trouble transforming, you get this whole new world of industrial edge which requires computing cars manufactured. This is a hot area. So a lot of change happening. What is the most important story people should pay attention to in your area that that's notable for this collision of all this transformation? I think maybe the most notable story that we currently have is a corporation that they do with the VW, which is the largest a car manufacturer. And you were just lucky that via their CIO mountain Huffman being part of Verona for good's keynote, our CTO. So if you haven't seen that, just go and review the keynote of Verner and then as the larger part then he was talking about all of that, what he calls industrial 4.0, this digitization fourth revolution. And Martin did an awesome job explaining what are we doing together with them to build their industrial cloud. Yeah. >>Uh, well, one of the things we've been really watching is the, the extent that Amazon services are starting to push out. Uh, I've been super excited, really looking at some of the growth of there. Your team did a bunch of announcements ahead of the show including the one that caught my eye the most was the IOT green grass sport for Lambda and Docker. Maybe start there and walk us through some of the new pieces that in your org. Okay. >>Maybe for us to understand the offer three type of offerings for our customers. One is device software, which might sound strange that a cloud company actually gives you a software that it's not running on the cloud, but then you're talking about IOT. You need software running on your devices in order to be able to be controlled and communicate with the cloud and we have an offering in that area which is called IOT Greenglass, which is a software runtime that you can install on edge devices like gateways for example, and via announced junior additions to our IOT Greenglass. One is Docker supports, which was very important because up till now green were supporting machine learning at the edge and Lambda, which is our service offering, but many companies now more established enterprises said, you know what, I have legacy applications which I can package. Can I deploy them as well? >>Now you can deploy Docker containers, Lambda functions, and a melody edge all with one goal with green glass at the edge. So that was one of the announcements we did for our device >> software. They're, I want to get your thoughts on an area that we're reporting on and doing a lot of investigation, collecting a lot of data, talking to a lot of people and that's around the industrial IOT or IOT, industrial IOT. And one of our big concerns, I want to get your reaction to this and thoughts is security is of paramount importance because it's not just a DDoS attack or some malware which is causing credit card data or these kinds of theft. You could actually take over machines. People could die this and serious issues around the guarantee. This is the number one conversation. What is the state of the art security posture in your area around software and the edge? >>So at AWS, whether it's IOT or any other workloads, we always say if you have two primary zeros, one is security and one is operations. Because if any company puts their faith in us, if we are down, their business is down and if there would be any security issues, of course all the trust would be broken and we do the exact same approach. Now with IOT, so we built our services with security in mind. For example, when you connect to AWS IOT core, every single individual device needs to have certificates to be identified. If you require that you can encrypt your data, it doesn't even lo you to connect to the cloud without encryption. We have software, as I said, at the edge with Amazon free artists and Greengrass where we support all of the hardware TM modules that you have security postures there. If you have secrets managers, they even have an award winning clout. >>If you're like security tool, which is called IOT device management, but at any given point in time audits but the you configured correctly and does something like detection. If something's going wrong, like when you get your credit card and said, Hey, by the way, have you been in this country? Candy making any purchase? If you figure out if something's going wrong with your device >> and you feel good that it's built in from zero, I mean you've got DNS tax going on. What? I mean you feel comfortable that it's, I mean we believe whatever we build, you can never be 100% sure and security is always evolving. But we believe that we are at the forefront of being, you're always the latest and greatest technology at the hands of our customers. >>Jerks. That's really powerful. Cause I saw one of the other announcements was really taking the Alexa voice service integration, but if I understand it rightly, it pulls that core along. So you know part of me was like, it's like okay Alexa enabled everywhere. That's great. I don't need 700 devices in my house that all have that. But the security piece is going to be needed everywhere. So help us tease that out. >>Maybe, maybe don't understand what we did you ask about the other launches. We also launched something called AVS integration for IUT and AVS stands for Alexa voice services. So if you know Alexa, that's our digital assistant that runs for example an equity devices, but if you want to build a device as a third party, which you can directly talk to media, there's microphones and speakers that is called AVS or Alexa built in devices and if you wanted to build one today you needed to put quite some resources onto this device because it needs to understand you. It needs to have a lot of audio processing. That means there's a lot of memory involved and quite some processing. Now I'm using some technical terms. You need something like a cortex, a CPU which makes this device expensive. So the bill of material is quite elevated and we were working with our Alexa team saying is how can we make this really, really affordable? >>If you found a trick where we said let's offload all of this audio processing to the cloud that you an eSense can build very dumb devices. The only thing that these devices don't need to do is have microphones, have our speaker and what we call a week work detection. They need to wake up and you say, Alexa, echo computer, everything else gets streamed to the cloud. Ptosis sits there and comes back so that you can reduce cost for those devices by at least a factor of half. And we had a great customer on stage as well because if you can make so cheap Alexa built in devices, you can put this into a light switch and iDevices now believe it or not, non-sales light switch. Yup. Which you can now directly talk to, reach, talks back and place your music. They're talking about your role. Again, I want to understand that you are not technical side, your development teams. What are you, what do you do on a daily basis? What's your job? So officially I'm a VP of engineering, so I'm a tech guy, so I love the hoodie. By the way. This is tech. That's because I'm on video. Okay. >>It looks great. So I'm an engineer by Heights and at Amazon we don't have a separation between businesses and product management and engineering. They call it a single thread of leaders that we believe the teams have to own it all. So that means my teams on everything from the conception of their services, the development operations that what be called dev ops and also the business behind. So that means all of the services, whether it's free outro, screen grabs at the edge, but it's IOT core device management and defender or our data services like IOT analytics or your talked about industrial site wise, their health or being conceived by my teams. They have all been developed and they are all operated today so that all customers can use that as it make. What should people >>totally does. Thanks for clarifying. That's awesome. Uh, what should people pay attention to? What should we be reporting on in your area? What are some of the key things that people watching this should pay attention to in this, in your IOT area? What are the most important items and products and services that you're doing? I think >>one of the most important things to understand is be talk just before the interview about this, that a lot of the technical hurdles actually solve that because we have the software on devices, we have the connectivity controlled services, and we have all the analytic services to make sense of the data that you can take actions. You don't need to be an expert in machine learning anymore to do machine learning at AWS. You don't have to be an embedded software developer to get connected devices. You don't have to be a data scientist to understand what your data does. The most interesting part though is there is a cultural aspect of this because in the past you had to ideally most likely in your old company join said, Oh, I would like to connect something, so do I have a purchase acquisition? Can I go to my finance team? Does it install this today? You don't need that anymore. With AWS IOT, the same thing that happens with the cloud and it happens with IOT. So understanding that via very powerful tools for engineers in the company that you can build at any given point in time. I think that's maybe the most, >>and I think the it, I think that whole process of the time it takes, they go to the airport on Thanksgiving, go through TSA and knows all that pre ocracy. And then the other thing too is that the other IOT used to be kind of a closed system self, um, form dot devices. Now you've got with Clough, you've got a lot more range and compatibility. Can you talk about that address, address that issue? Because there might be still legacy out there and no problem. It's data's data, but those are the days come in the cloud. But there's now a new shift happening where it's not just, you know, fully monolithic OT devices if it, so the pasta >>monolithic what's called machine to machine, close systems, IOT is the opposite there. It's where you say now all the devices and connections can be done in between the devices and the cloud. So it's system of systems. And in order to make that happen. For example, when you call it the legacy systems, we also announced on Monday and our IOT day additional features for IOT core that you can migrate legacy systems much easier to the cloud without that you need to update your devices. >>Yeah. Dirk, one of the things I find most interesting about your space as you span between the consumer and the enterprise piece, so I remember a few years ago there was like a hackathon on building skills for Alexa and it got lots of people involved. There was a giveaway of lots of the devices there. You know, we used to talk about the consumerization of it. How is what's happening in the tumor world? You know, how is the enterprise going to take care of take that and transform business as we see IOT permeating everywhere. >>So the capabilities that you need, whether you're going in industrial or in consumer or in the medical or pick your favorite other vertical is in essence the same. You need to connect the devices. You need to ensure that they're secure. We talked about security. You need to make sense of the data, whether you do this in the home with your television or your light switch or your robot, or you do the exact same thing with the most sophisticated robot in the industry. It's the same thing. The good thing about us handling all of those sites is that the scale that we gain with literally hundreds of millions of devices now managed by our service in the backend of course means we will handle all of that scale also in the industry and the security and postures and complexity that we need to handle an industrial also benefits computer, so our consumer side, so you benefit from both sides, very cheap and scale on the one industrial benefit. Very complex. How do you solve that consumable benefit, so it's very fruitful synergies if you like, >>Oh, you guys love to solve problems at Amazon that's going to eat those. Yeah. Derek, thank you so much for coming on and sharing the insights and what you're working on and what's important. Congratulations on all your success. Thank you so much. The threaded leader here. Final question for you. Eighth year of reinvent. It gets bigger every year. Louder. Crazier for parties, more business development more. Exactly. I mean just, it's crazy. Yeah. It's just say work hard, play hard. What is your favorite thing going on here? What's the coolest thing that you've seen? >>I think the coolest thing, and it might sound a little cheeky, is, is the excitement from all of our customers and partners coming here every year. >>PR tells you to say, I'm not about fraud. I mean, you're talking about products. I love my products. I'm still so happy about that. I mean, I can talk to a light switch now. Well, you see the comma car and the other quad had the area that we have yet. It's a very different experience that you can do. Don't talk to your lights, which when you get home your wife will think you're going crazy. I love that. Thank you for coming on. Really appreciate it. Thanks for having cube coverage here. All I'm, we're going to wrap up here. Keep coverage with Derek runs all the IOT for with an AWS exciting new area. It's going to change the game on architecture and solutions are being baked out in real time. We're here breaking out the cube in real time. I'm John. Thanks for watching.
SUMMARY :
Reinvent 20 nineteens brought to you by Amazon web services Everyone is the cubes live covers in Las Vegas for AWS. also all of our and Melanie and I and then there's an IOT section and there you find all of the goodness that we What is the most important story people should pay attention to in your area that that's notable for this that caught my eye the most was the IOT green grass sport for Lambda and Docker. that area which is called IOT Greenglass, which is a software runtime that you can install on edge Now you can deploy Docker containers, Lambda functions, and a melody edge all What is the state of the art security posture in your area around software and the edge? If you require that you can encrypt your data, it doesn't even lo you to connect to the cloud without and said, Hey, by the way, have you been in this country? I mean you feel comfortable that it's, I mean we believe whatever we build, you can never be 100% So you know part of me was party, which you can directly talk to media, there's microphones and speakers that is called AVS And we had a great customer on stage as well because if you can make so cheap Alexa So that means my teams on everything from the conception of What are some of the key things that people watching this should pay attention to aspect of this because in the past you had to ideally most likely in your old company join you know, fully monolithic OT devices if it, so the pasta you can migrate legacy systems much easier to the cloud without that you need to update your devices. You know, how is the enterprise going to take care of take that and transform business as So the capabilities that you need, whether you're going in industrial or in consumer or in the medical Oh, you guys love to solve problems at Amazon that's going to eat those. I think the coolest thing, and it might sound a little cheeky, is, is the excitement from and the other quad had the area that we have yet.
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David McCann, AWS | AWS re:Invent 2019
>>LA Las Vegas. It's the cube hovering AWS reinvent 2019 brought to you by Amazon web services and along with its ecosystem partners. >>Hey, welcome back everyone. This is the cubes live covers Las Vegas anus. Re-invent. I'm John furrier with Dave Alante extracting the signal from the noise sponsored by Intel and AWS. They put the stage together, two big stages. Day two, we're here day Jew, I rapid fire a devil's execs coming on. Dave McCann, cube alumni, VP of ADAS migration marketplace and control services known most for the marketplace and a lot of stuff going on. That's exciting in the marketplace. It's where all the ecosystem actions happening. Congratulations on you six. I know you're busy, you've got new stuff, but the marketplace seems to be changing the procurement and the consumption of software and solutions, whether it's SAS or images and technology, your demand on the marketplace. So great to be back, Kimberly. It's another reinvent. This is my sixth. Um, so lots going on. Marketplace has got a lot bigger in the last year. >>We're up to 260,000 customers, so not substantial growth from last year. And we're adding thousands of customers every month. Um, big headline I have to start with is marketplace has been a marketplace for software for the last seven years. And two weeks ago we launched a marketplace for data and it's a new service that we call AWS data exchange. And instead of allowing you to point, click subscribe to software, and if you're a data consumer and a bank and you're an analyst or you're a researcher and a pharma company, you actually buy data from hundreds of companies, you know, you can go into the new console, find the product and market, please go over to this console called data exchange. And you can go buy research data or you can buy healthcare data from change healthcare. You can buy news data from Thomson Reuters, you can buy consumer data from Experian. >>And we've launched 1400 products from 19 data providers and we've made it available globally. So it's a whole new class of intellectual property data sources in there as well. There's some open source public sources as well. And we're adding literally dozens of products every day. So really easy API. And the cool thing is that after you subscribe, you copy it right into your S three bucket, moves into your VPC and then you move it into your project and you can actually create a Lambda function with the next version of the data. The next day gets updated and know the data just gets updated. And the use case here is like, if I'm a retail outlet, I could buy or go and get weather data and do some things. Is that kind of the model? Exactly. Right. I mean companies all over the world by $150 billion worth of data, but it's all delivered thousands of different EPA. >>Dave, we got cube data, we put all of our advanced data out there, which might be an opportunity. But seriously, Q three 65 is our new listing on the market place. So we have a Q cloud service, little plug for the cube cube three 65 on the marketplace and we're, we're happy. But I want to ask you because one of the things that's coming up is, um, from your team in the marketplace, the industry is this notion of buying through the marketplace. The trend is increasing private offers is a hot feature that you guys have put in place. And there's some news there. Could you explain how private offers is changing the game in the marketplace? I'd love to show you, if you think about it, a lot of our customers are developers and builders and they're working on something on test and it's a pilot and you use it for a few hours or a week. >>But once a company contracts for software and if you're contracting for a lot of software, procurement, one's best price, legal one's best terms, and there's going to be in negotiation and we call that negotiation of private offer. And so that involves salespeople. And so our top software vendors like a Splunk and new Relic of trend micro, uh, Palo Alto, their sales guys, or negotiate our sales ladies and negotiating with the customer for a couple hundred thousand dollars and there's a price and terms. When are you going to pay? What clauses do you agree? How many of you buying? Where are you going to deploy? All of that's negotiated and no, we have a portal for the sailor. We've had it for a year, we've made some really good changes and the central, they arose the seller to automate that price court rate into your account and then the buyer subscribes, and this is allowing our sailors to do quotations in the hundreds of thousands, the millions and sometimes in the tens of millions on a contract rate through marketplace, you're doing millions of dollars of business with with private offers today we've seen vendors write contracts for over $10 million, Peter over three years SAS contracts. >>So we've had that program available for the last year and we'd be working on a lot of features with the help of people at Splunk and new Relic today, we've made it available for all ISBNs and marketplace. You say all the iterations get to take place in the market place, so it's all those informations. I should just speak, just make sure I get it right before private offers were invite only kind of thing. Now you're making it available to all ASVs. Correct. We've got one. As of today, we've over 1,500 ASVs in the marketplace. You're one of them. And with those 1500 vendors within our go into marketplace, there's a new button and the seller portal and it says create Piper offer and any over ISV can note create a private. So I'm going to put my little seller hat on. I have a SAS application. Look at, I don't have a big Salesforce. >>How can you guys help me? How do I, how do I get more sales? Is there a, there's the money just following my bank account. Oh, are you overstaffed to do marketing? You have to do some discussions. You know, we had a company in the UK called Matilda MAF last year on, on the cube. Medallian Staffan was 17 engineers and new salespeople and now they're like 300 people, two runs of venture and everything's through marketplace. Big booth here. Well, congratulations to those guys. We love them. And to come Mytilene again, they engage rafted with you guys. It is all the sales and go to market through AWS complete everything goes through marketplace. Okay. We've made it available to 1,500 vendors today. Okay. So changing procurement. I love that trend. You kind of modernizing the procurement process with the marketplace. What about um, resellers? What's the update there? >>So the big update there is, you know, for the first six years of marketplace we couldn't handle the resaler. We didn't conceive of the VAR or the consulting partner and we got a lot of feedback that we had to do work. And so we've taken private offers and we've designed consulting partner, private offers and no, we've saved up over a hundred top consulting partner resellers, the likes of an OCT of an Ashi, a Rackspace in Europe computer center and Softcat and they were working with all of the world's top resellers and know if you are a Splunk or trend micro, you can authorize computer center to offer private prices to their customers and you can actually authorize a wholesale price from Splunk directly to computer and get paid for. Well, they could actually set the price. Mark it up. I got to ask you, Dave, what's your vision for marketplace? >>Because you're doing a great job. It seems like you're paddling as fast as you can constantly improving the service. I know you've got a big to do list, you want to make it easy or make it faster, all that good stuff, but what's the vision? Where do you see marketplace evolving? You know, Jeff Bezos says it's only day one. We're seven years old. We've barely scratched the surface. Global software is 450 billion growing 8% data is 150 billion growing at 3% you've got a $600 billion industry. Marketplace has not touched a tiny percentage. We want all of our customers to be able to find, discover, provision, and run all of their software and their data out of marketplace and it's gonna take us another 10 years and you get a lot of teen. How big is the team? We never publish JFK K but just let's say the Andy Jassy continues to invest in the business and as we add engineers and we add business people and development people, you know we work well with our partners. >>We cool market. Yeah, we grew up well, as Andy always says, you know, and you always say this, the customer needs come first. That's kind of a vetting process. Then working backwards documents, we know all about that history. What is the number one customer need that you're hearing, that you're addressing, that you see coming up around the corner, you're constantly working on and new potentially new requests that are coming in that are relevant to your business. There's two or three big customer needs. The number one is governance. So while engineers are going fast, innovating, legal, finance and procurement need to be confident that the contracts are being written well and is the spend under control. And so we're doing a lot of work around tagging or the resources so that it's tagged to the right project. Did you overspend on the project? And then on the contracting inside we launched this thing called enterprise contract and we're continuing to work with customers. >>We just integrated into the leading procurement system called ACP a Reebok and we launched that last week. And so we know have a procurement workflow that says procurement's happy it finances happy legal needs to be happy because the engineers want to go quick, but we can't leave the it finance legal professionals behind because they protect the risks for the kinda, the contracts too are all there. So you're modernizing procurement. We are transforming the supply chain for data and for software, you know big. You know I'm a big fan of what you do and I know you got a lot of hard work, a lot of demand, there's a lot of money to be made there, water customers to make happy and you know we've got great customers that BP or shell or Coca Cola, Coke industries that are using marketplace on a regular basis and we have customers now with over a foes and subscriptions from over 50 vendors and that's a single customer. >>Dave, thank you so much for coming on. I know you're super busy and making the time for wrestling the cube means a lot. You've been with us the entire journey for the Ravens, our seventh reinvent. You've been a great one. I missed one but usually patients man it's just you. You saw it working backwards and it's happening. It's working well and you know we learn from our customers and I'm having a dinner tonight with 40 more and I'm sure they'll hit us with more requirements. I'll check my email for the invite. I'm sure it's in there somewhere. Dave McKenna inside the cube. Good friend of the cube, hardworking, billable in the next generation, the next gen marketplace. Check it out. Of course, the cube three 65 our new offering is up there as of Monday. It's kind of a soft launch, but we're telling you now, I'm John Freud. Dave Volante. Thanks for watching back with more. Thanks and have a short break.
SUMMARY :
AWS reinvent 2019 brought to you by Amazon web services This is the cubes live covers Las Vegas anus. And instead of allowing you to point, And the cool thing is that after you subscribe, you copy it right into your S But I want to ask you because one of the things that's coming up the central, they arose the seller to automate that price court rate into your account and then You say all the iterations get to take place in the market place, so it's all those informations. And to come Mytilene again, they engage rafted with you guys. So the big update there is, you know, for the first six years of marketplace we couldn't handle the resaler. JFK K but just let's say the Andy Jassy continues to invest in the business and the resources so that it's tagged to the right project. the supply chain for data and for software, you know big. It's kind of a soft launch, but we're telling you now,
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Gavin Jackson, UiPath | UiPath FORWARD III 2019 mp4
>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019 brought to you by UI path. >>Welcome back everyone to the cubes live coverage of UI path forward here at the Bellagio in Las Vegas, Nevada. I'm your host, Rebecca Knight, co-hosting alongside at Dave Vellante. We are joined by Gavin Jackson. He is the senior vice president and managing director EMEA at UI path. Thanks so much for coming on the phone. You are brand spanking new to the company. You were at AWS for four years, joined UI path in September. I want to start this conversation by having you talk a little bit about what, what appealed to you about UI path and what do you want to make the leap after four years at AWS? >>Yeah, so I've, I had the privilege to be of really having a really close proximity to enterprise customers and getting the opportunity to listen to what they really wanted when they were talking about their digital transformation journeys. And as it turns out, the sort of cloud first and the automation first eras, if you will, our operating models are to two sides of the same coin. If you think about what the cloud proposition has been over the last number of years, it's really been about sort of reducing or eliminating the undifferentiated heavy lifting so that builders can build. And then that turned into an operating model principle and then became sort of cloud first as the same thing for the automation world. Uh, you know, we are reducing and eliminating the undifferentiated heavy lifting of, of, of, of, of product, um, uh, uh, business processes and tasks and everything else, whether they're complex tasks or simple tasks, removing that so that builders can build and business people can innovate and uh, giving them the freedom to do what they need to do as business owners. >>No, I'm going to keep pushing on this. There's similarities and differences because we're seems to break down is where RPA is focusing on the citizen developer or the, the end user. I'm afraid of AWS. I won't go near it. I see that console. I go, Oh, call my techies. Hey, you know, AWS is, you know, you gotta be pretty technical to actually leverage it. At the same time I'm thinking, well maybe not. Maybe my builders are building things that I can touch, but help us square that circle. >>So I think your, the world is trending towards as much automation as possible. So if it can be automated or if you can reduce the, the, uh, the, the, the burden to get to innovation. I think, you know, technology is moving in that way. Even in coding. I think the trends we're seeing, whether it's AWS or anyone else, is low to no code. And so we, we occupy a world within the RPA space or the intelligent automation space where we're providing tools for people that don't need a requirement or, or a skillset to code. And they can still manufacture, if you will, their own automations. And particularly with a release that we have, we're just today, which is studio X. It really kind of reduces the friction from a business user who has zero understanding of how to code to build their own automations, whether it's kind of recording a process or just dragging and dropping different components into a process. Uh, even like even I could do that. And that's saying something. I can tell you >>your alter ego is Tony stark. Yes, exactly. Yeah. So just in terms of this idea of democratizing the, the automation, the building, you said even just someone who is pretty decent at excels. Yes, very much so. What will this mean? I mean, what, what, what does, what does that bode for the future of how work gets done? Because we, that is at the core of what you're doing is scientifically understanding how and where work gets done. Where are the bottlenecks, where are the challenges and how can RPA fix this? >>So I think ultimately like a lot of technologies, it's really about the exponential curve of productivity and whether you're looking at a national level or global level or company level, a human level at every level, productivity have declined really over the last number of years and technology hasn't done a great job to improve that. And you can say that some technologies, I've done a good job, again, I'd use AWS as a good job in terms of the proliferation or the prolific. You can get more code out and more, more progress there, but overall productivity has declined. So our sort of view of the world is if you can democratize automation, if you can use a Oh, add a digital workforce to your, to your, to your teams, then you'll have an exponential curve of productivity, which are human level is important at a company level is important and national level is important and probably at global level is important, right? >>We're at this tipping point for technology really unlocking a lot of value. One of the things that your former boss, Jeff Bezos said was bet on dreamy businesses that have unlimited upside. These, these streaming businesses, customers love them. They grow to very large sizes. They have strong returns on capital and they can endure for decades. I wonder if you could put UI path in that context of a dreamy business. >>What does he know? Right. I mean, no is absolutely right. I mean, so, um, and this is one of the reasons I was attracted by the way to do UI path because I think, I think that the robust themselves, if you can just kind of look at the subcategory of the robot. Um, I think it's on a similar curve to how Gordon Moore was talking about the Intel microprocessor in 1965 and the exponential curve of progress. I think we on that similar curve. So when I sort of project five years from now, I just think that the amount that robots will be able to do, the cognitive kind of capabilities that we'll be able to do are just phenomenal. So, um, and customers, customers give us feedback all the time about to, to things they love and they value what we do. The value is important because it's very empirical for the first time they can actually deploy a technology and see almost an immediate return on that technology. >>Whether it's a point technology solving one process or a group of processes, they can see an immediate empirical return. The other thing that I like to measure and I quite like is that they value it. Sorry. They, they, they love, they love and value it. So they love it. Meaning it actually induces an emotion. So when you, when you watch the robots in action and they watch something that has been holding your team back or that has been stifling productivity or whatever it is, people get giddy about it. It's quite fascinating to see, comment about Gordon Moore and tie that to digital transformation. When I think of digital transformation, I think of data like what's the difference in a business in a digital business? That's how they use data. They put data at the core and for years we marched to the cadence of Moore's law and that's changed. >>It's not what the innovation engine is today. It's machine intelligence, it's data and it's cloud for scale. Where do you guys fit? I mean obviously AI is a piece of that, but, but maybe you could add some color to where RPA fits in that equation. So I think that's an important point because there's a lot of miscommunication. I think about really what it means when you talk about digital transformation and what it means to be digitally transformed and really digitally transformed. You're really talking about a category of customers which are large more institutional enterprises and governments because they have something to transform. What they're transforming into is more of a digital native sort of set of attributes, more in search and mindsets. And these companies are, to your point, they're very data hungry. They harvest as much data as they can from, from value, from data. >>They're very customer centric. They focus on the customer experience, they use other people's resources. Know the cloud being one great example of that and the missing point from what you said is they automate everything they born automated. So part of the digital transformation journey is that if it can be automated, it will be automated and anything that's new will be born automated. So let me ask you a follow up on that. Is there a cultural difference in AMEA versus what you're seeing in North America in terms of their receptivity to automation? I mean there are certain parts of of Europe which are more protective of jobs. Do you see a cultural difference or are they kind of, I mean we do see even some resistance here, but when you talk to customers they're like, no, it's wonderful. I love it. What are you seeing in Europe? >>So I don't, I don't see much of a cultural difference there. And I actually don't, I don't see yet. I haven't seen any feedback yet. It's very, I'm very new still, but I haven't seen anybody talk about really the, this technology is a technology to take jobs out. I think most people see this technology as a way of getting better performance at the humans, you know, pivoting them towards more. So I would say like in some markets in my, in my, in my prior life, in many prior lives, I would say that there are some countries like France for example, that would have been a little bit more stayed within their approach to new technologies and adoption, not so with regards to automation. They see this as a real gain productivity increase. I think that's true for people who have tasted it. But I do think there's still some reticence in the ranks until they actually experienced it. That's why we will talk to some customers about it. They'll have bought Athens and just just to yeah, to educate people on what's possible to let them try to build their own robots and then people, then the light bulbs go off. >>Yeah. That's 0.2 is that it, that it's taking away the aggravations, the frustrations, the mundane, the drudgery. And then you said people get giddy about those things when they don't have to do that anymore. Um, but then the question is also so, so what creative things are you doing now? So how are you spending your time? What are you doing differently that makes your job more interesting, more compelling? And I think that that's the real question too. So what is the, okay, yes we're saving some money and people aren't having to do this mundane tasks. But then what are, what is the value add that the employees are now bringing to the table? >>Yeah, so an actually said it and they've made the right point as well in terms of the mechanism for doing that is that part of the battle here is to spark the imagination and just like anything really just let it like in back in the Amazon world is sort of our spark in the imagination. If you can, if you can imagine it, you can build it. It's the same thing really with within our world now is it is figuring out with customers what things, what tasks did they do that they hate doing either a user level or a or a or a downstream level. What are the things that they really want to do that they need our help to harvest. And so we do the same sort of the same sort of things that we would have done with AWS where we did lots of hackathons and your bulldozer technology partners in with us and we were sort of building all of this. >>We do the exactly the same thing with the RPA space. It's exactly the same. This is really important because creativity is going to become an increasingly important component because if productivity goes up, it means you can do the same amount of work with less people. So it is going to impact jobs and people are going to have to be comfortable to get out of their comfort zone and become creative and find ways to apply these technologies to really advance, you know, drive value to their organizations. And actually I look at this as well as a longterm technology, right? As a longterm technology, as something that's important for my children. I have three and they're still very young, so 1210 and six but eventually they will go into the workplace with these skills embedded. They will just know that the, how you get one done is you have your robot do a whole load of task for you here and your, your job is to build and to be creative and to harvest data and to manipulate data and serve customers and focus on the customer experience. That's really what it's all about. The real brain. >>Absolutely. Absolutely. Kevin, a pleasure having you on the show. Great luck at UI path. Thank you so much. I appreciate it. I'm Rebecca Knight for J for Dave Alante. Please stay tuned for more from the cubes live coverage of UI path coming up in just a little bit.
SUMMARY :
forward Americas 2019 brought to you by UI path. I want to start this conversation by having you talk a little bit Yeah, so I've, I had the privilege to be of really having a really close proximity Hey, you know, AWS is, you know, you gotta be pretty I think, you know, technology is moving in that way. of democratizing the, the automation, the building, you said even just someone who is pretty decent at excels. So our sort of view of the world is if you can democratize automation, I wonder if you could put UI I think that the robust themselves, if you can just kind of look at the subcategory of the robot. I think of data like what's the difference in a business in a digital business? I think about really what it means when you talk about digital transformation and Know the cloud being one great example of that and the missing point from what you said is they automate And I actually don't, I don't see yet. So how are you spending your time? that part of the battle here is to spark the imagination and just creativity is going to become an increasingly important component because if productivity goes up, it means you can do the same amount of work Kevin, a pleasure having you on the show.
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Patrick Osborne, HPE | Commvault GO 2018
>> Announcer: Live from Nashville, Tennessee, it's theCUBE, covering Commvault GO 2018. Brought to you by Commvault. >> Welcome back to Nashville, Tennessee, the home this week of Commvault GO with Keith Townsend. I'm Stu Miniman and you're watching theCUBE. Happy to welcome to the program a regular on our program, Patrick Osborne, who's the vice president and general manager of Big Data and secondary storage at Hewlett-Packard Enterprise. Patrick, great to you see. >> Great, thanks for having me. Love to be on theCUBE. Appreciate it. >> Yeah, so we've had you on theCUBE in lots of places, but a first in Nashville 'cause it's the first time we've been here. Keith's second time at the show, my first. What's your impression so far? >> Yeah, so this is our first major presence here at Commvault GO. I think it's going pretty well so far, certainly a great venue. We actually, we do a couple things here for our own presales folks. So first impressions, love the fact that we have a whole conference dedicated to secondary storage, certainly getting a lot of importance lately within customer conversations as well overall investment in the industry, so I'm pretty impressed, pretty lively crowd here. >> Yeah, I really liked, we started off the morning talking to Chris Powell, the CMO of Commvault, talking about how Commvault is a 20-year-old company, and therefore there were certain things that a 20-year-old company has. If you think about their pricing, you think about how people's perception of them are, you work at a company with plenty of history. HPE can partner with whomever they'd like to. >> Yep. >> Stu: Why's it important for HPE to partner with Commvault? >> Yeah, 20 years for Commvault, 78 for HPE, right, so we got a lot of chops there. For us, secondary storage is certainly becoming very important for customers, and it's being driven by new user stories, new capabilities centered around data. So what we look for is, as a technology company, we want to provide an entire solution, vertically oriented, that not only includes our compute networking, storage, secondary storage, cloud, but as well as a very vibrant ecosystem. So we've been working, certainly, with our customers and in the partner ecosystem with Commvault for a number of years, and now we've formalized that and codified it with a couple technology announcements, certainly on the go-to market side, and then some offerings we've done as a service, so backup as a service. >> So let's talk about some of these technology announcements. Talk to us about the significance of the store wants, Commvault integration. Got a great deduplication appliance the store wants, now you're bringing Commvault to the scene, to the solution. What advantage does that bring the customer, first off? >> Yeah, so we have a couple specific integrations we've done. We have our primary all-flash arrays, Nimble and 3PAR, certainly within the Intellus Map umbrella. We've worked with them in the past. We've worked with Commvault recently to deliver some support for our deduplication algorithms. We have our, what we call catalysts. It's the ability to dedupe anywhere, right, within the data center and even outside the data center. So they support that. It really helps out with, certainly, high-speed performance for backup so you can meet those aggressive SLAs. We feel like we've got pretty differentiated technology on the dedupe side, so it helps our customers save in terms of the storage that they have on disk. And then the other big thing is that they've also integrated with Cloudbank, right, so it's our ability to store archived backup data for very, very long periods of time in either Azure or out in Amazon, and essentially using Commvault as the workflow and the catalog, and being able to plug into the ability for us to federate primary, secondary in the cloud is a pretty powerful integration for customers who might already have HPE, might already have Commvault, so it definitely brings a lot of value into that. >> Yeah, Patrick, we've seen a real maturation of that, really, the multi-cloud model in the last couple of years. It seems like that's a foundational piece of the partnership between Commvault and HP. What are you hearing from customers, and what differentiates this solution from others in the market? >> Yeah, so I mean, I think that secondary storage is one that's always rife for having a multi-cloud storage, whether it's people just wanting to do something like I don't want a secondary data center, I want to use the cloud. I want to replace tape. There's a number of different reasons why. I think the differentiation part comes in the technology that I talked about before and making that very seamless for customers and being able to move workloads out to the public cloud for the purposes of long-term data retention. The other key thing is that we're providing this to customers in completely as a service style. So not only from a technology perspective, but the way you consume it now. So we're able to provide primary, secondary, your Commvault solution, the Azure capacity, for example, advisory services, and we're all able to package that up on a per-terabyte or a per-metric basis that customers consume in an elastic manner, like you would the cloud. >> Yeah, HP was one of the first, forgive me if I say legacy, 78-year-old company, people automatically assume companies like AWS and even Azure move that way, but where have you seen customers and their readiness, both from a people standpoint as well as a procurement model for that model, and as I've said, HPE's one of the first ones, the big traditional players, that helped push that model. >> Yeah, so the desire's there. We pitched this every day, ever week, and it's got a lot of legs from a customer interest perspective. We are transacting, and we'll start to build our business and it helps us financially as well, too, right? 'Cause for us to offer those as a service, that's a reoccurring revenue, it's bookings, it's not just your traditional CAPEX hardware acquisition. So it helps us. And a little known fact is that HPE Financial Services, when you talk about an established company, we have a very, very high Net Promoter Score for HPEFS, and that's one of the capabilities that allows us to provide these really, really granular, flexible services for our customers. We've got a lot of things going at HPE. Being a more established, mature company with a very large install base. Not only technology piece, but the financial aspects of it is something we can offer as well. >> Patrick, talk to me about some of the advantages as a service, from an agility perspective. When I think of consuming HPE physical hardware on-prem through HP Financial Services, and I'm consuming this as a service, how does that enable agility for your customers? >> Well, it enables agility in the financial model, number one, so a lot of customers are asking us for as a service, subscription models, moving from CAPEX to OPEX. And not just an OPEX lease, right, 'cause that doesn't count anymore. The rules are changing. So what we're able to do is we provide an actual service. The customer hands over the architecture reins to us, so we have an established methodology of how we implement this, so no snowflakes. We can build on a wealth of experience we have with a number of other customers to be able to essentially deliver a number of outcomes. So it comes very agile in the fact that at the end of the day, secondary storage, some of the user stories are pretty mundane. They're very repeatable, right? And so if you hand that over to us, we're able to help you with that, not only financially but architecturally, and from our operations perspective, and you can focus your talent that you have in your organization on differentiation for your business, right? 'Cause backups, maybe at the end of the day that's not where you're going to hang your hat on your digital transformation as a customer, but it's certainly something you need. So we could both partner together on making that a better experience. >> Stu: All right, go ahead. >> What I was going to ask, what's the interface? How do customers consume these as a service solutions, whether it's the secondary storage or if it's a service living in the cloud? >> Mm, so we have a number of examples of these. So you take a look at a service that we have, for example HPE Cloud Volumes, right? It has a portal, you log in, you can put your credit card in, you can add, let's say, your cloud credentials into that as well, and then you are essentially off and running on dollars per terabyte, and you can scale that up, you can scale that down. So at the end of the day, we're really trying to provide an experience for customers that's very similar to the public cloud. And I think the other area that we've done, we've made some acquisitions in the space, Cloud Technology Partners, RedPixie, Cloud Cruiser, so not only on the being able to use the consumption methodology and the metering that we provide, but also the advisory services, is something that you get from HPE. You actually get to talk to people that know how to do this and have done it before and can help you arbitrate and make you very successful. >> All right, so Patrick, the last 18 to 24 months, the secondary storage space has just been buzzing, almost frothy if you will. >> Yes. >> Commvault's been around for 20 years. Five years ago, there wasn't the excitement in the space. There's the startups, there's companies like Commvault and Veritas and Veen who have established a customer base in there. Why do you see so much excitement there? Is it the new AI of availability? I've got plenty of background in the storage industry, where just data is so critically important that it's right there. What do you see? >> I see it as a massive shift in thinking from TCO to ROI, right? Five years ago, you were having conversation as how can I do this as cheaply as possible, right? It's a non-differentiation life insurance policy at the end of the day. Now it's all about what can I do to maximize the return on that data? And it could be things that are not super sexy, but test verification, sandbox labs, being able to provide copies of data for your developers to get a better experience and a better quality experience for their customers at the end of the day. There's a number of things that we've been able to unlock in the secondary storage area, and some people call it copy data management, hyperconverged for secondary storage, I mean, there's lots of different names and nomenclatures applied to it. But it's essentially, from what I see, people unlocking the value of that data where it used to be captured, siloed, untouchable, but now you've unlocked a number of possibilities for this data, and it's multi-use, right? It's the new currency. >> Yeah, we always argue, at the show, Commvault's saying that data is the new water, but Dave Alante, well water often is a scarce resource and something we all have to fight for. Data, the ability to unlock the data, is we can use it multiple times in lots of different ways, and the more I use the data, the more valuable it is, not like traditional resources. >> Yeah, and also, too, some of the big bats you've seen from HPE, certainly big investment on edge-centric computing as well, too. So our Edgeline, the build out of 5G, certainly the ubiquitous wireless networks that we provide with Aruba. So there's a huge amount of capability of either moving the process outside the data center, but that data's still data. It needs to be protected, you need to be able to use it, so I think we're just getting started in some of these areas, certainly around secondary storage. >> So, let's talk about value that DotNext brings to the mix. We're talking about some pretty advanced use cases, the edge, the data center, the cloud. Stitching this together isn't quite simple. Tell us about the DotNext story and how they helped extend the capability beyond just throwing zeros and ones. >> I think there's a lot of our folks that cover customers, account teams, sales folks that really ensure our customer success, they view this area as very rife for certainly advisory services. I think one of the things is that having the capability of doing this, you guys have seen in the past couple years, people have scaled back dedicated storage admins, right? Dedicated backup admins, unless you're in a very large shop, really don't exist. You've moved towards essentially hypervisor admins, generalist, right? So I think that our capability is we have those services, we have that expertise in-house, and for us to be able to provide very good reference architectures that touch all parts of the stack, because secondary storage is, it's not just selling an all-flash array, or some capacity-optimized disk. It touches everything. It's questions around what's your SLA, what are the apps, what are you trying to do? So for us, we have a wealth of resources and knowledge in this space, and bringing in companies like Cloud Technology Partners and RedPixie into our services organization, that gives us the ability to help customers make that move to hybrid cloud as well, too, which is very important. >> Yeah, Patrick, the other message we're hearing loud and clear from Commvault is the roadmap. There's a lot of automation. There's the intelligence. You talk about all those admins. It was funny, they put up all these roles up on the board in the keynote this morning, and all of them, really, were bots (laughs) underneath. >> Yeah. (laughs) >> Automation can do that. Have us look forward. How does the HPE roadmap and the Commvault roadmap, how much synergy with those visions? >> Yeah, so right now we're definitely running along some parallel lines. They'd probably fire me if I didn't get off-stage here without talking about InfoSight, because it's a huge investment for us. We think it's a huge opportunity. You guys have seen the proof in the pudding from that in terms of automated support, we've got predictive analytics now. So for us, the more that you can build in from an AI and ML perspective, we think the value is in a couple area. Certainly cross stack, so going all the way from the app down through the infrastructure, and we're providing that through InfoSight. And then we're also expanding some of the use cases to include things like secondary storage, right? So if you see, let's say we have a signature that we can see, right? A certain IO pattern, right? We'll make some predictive calls to the infrastructure to say hm, that looks like Ransomware. Maybe you should take a full clone of that and then encrypt it and shove it up in the cloud. Or the change rate on your database just elevated two orders of magnitude. Maybe I should think about moving some workloads that are adjacent to that off that system. So as we expand those and then allow that type of workflow to enable our partners as well, too, you can see where that value would head as well, too, where you start to integrate some of the telemetry from HPE, telemetry from a vendor and ISV partner like Commvault. You could do some really powerful things across the stack. >> All right, last thing for you, Patrick. You're going to be on the keynote tomorrow. Show us a little bit for our audience here what to expect from HPE. >> We talked a little bit about today, we're going to focus our talk tomorrow on some of the new consumption models, as as a service, and we're certainly going to highlight some of the things that we've done so far in AI and ML, certainly making the lives of our storage and data customers a lot easier, and a little bit of a vision as to where we're going with both of those two. >> All right, well Patrick, always a pleasure to catch up with you. Thanks for joining us, and look forward to catching up at the next event. >> Thanks for having me. >> All right, for Keith Townsend, I'm Stu Miniman. We'll be back with more coverage here from Commvault GO here in Nashville, Tennessee. Thanks for watching theCUBE. (upbeat electronic music)
SUMMARY :
Brought to you by Commvault. the home this week of Commvault GO with Keith Townsend. Love to be on theCUBE. 'cause it's the first time we've been here. So first impressions, love the fact talking to Chris Powell, the CMO of Commvault, and in the partner ecosystem What advantage does that bring the customer, first off? and the catalog, and being able to plug into the ability in the last couple of years. but the way you consume it now. and as I've said, HPE's one of the first ones, and that's one of the capabilities that allows us Patrick, talk to me about some of the advantages The customer hands over the architecture reins to us, and the metering that we provide, All right, so Patrick, the last 18 to 24 months, Is it the new AI of availability? and nomenclatures applied to it. Data, the ability to unlock the data, It needs to be protected, you need to be able to use it, the edge, the data center, the cloud. So for us, we have a wealth and clear from Commvault is the roadmap. How does the HPE roadmap and the Commvault roadmap, So for us, the more that you can build in You're going to be on the keynote tomorrow. of the things that we've done so far in AI and ML, always a pleasure to catch up with you. from Commvault GO here in Nashville, Tennessee.
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Erica Brescia, Bitnami | CUBEConversation, July 2018
(intense orchestral music) >> Hello everyone, welcome to this special CUBEConversation, I'm John Furrier, co-host of theCUBE, co-founder of SiliconANGLE Media. I'm here with Erica Brescia, who's the co-founder and Chief Operating Officer at Bitnami, it's the app store for the cloud, they do automated packaging, an application provider. Great to see you, CUBE alumni, great to have you in the studio, thanks for coming in. >> Great to be here, thanks for having me. >> So, so much going on, you've been to theCUBE multiple times, we see each other at conferences and, you made some time, thanks for comin' down, appreciate it. >> Yeah. >> So Bitnami's doing some great things, so give us the update, what's goin' on with the company? >> Sure. So we just launched our new offering called Stacksmith, which is our first enterprise offering that basically takes all the tooling that we've built to deliver the application catalog that we have onto all the major cloud vendors, and allows enterprise IT departments to package up their own applications, both for cloud and cloud-native platforms, as well as for whatever they're running in the enterprise today. So, it kind of meets them where they are, helps them automate the application packaging and maintenance in place today, and then sets them up to successfully move to the cloud and Kubernetes and containers over time. >> So it's kind of reverse of this journey to the cloud, you go to where the user, the customers are, help them put it together. >> And make the journey, really. So what we find is a lot of the more traditional orchestration and packaging tools just aren't well suited to cloud and containers in particular. And so enterprises are looking for new tools to help them solve current problems, which is: we need to support all these different platforms, we might have some things running internally in VMware, we're running some things on Amazon, maybe using cloud formation, and now they're trying to get to Kubernetes, and they're trying to figure out how they can do that without having a separate pipeline for everything, and that's the problem that Bitnami solves. >> Yeah, and that's been a bit, we've identified a product at Amazon, then, I want Azure, I want Google Cloud, I got to hire a different development team, different stacks. So there's kind of this problem with multi-cloud. How are you guys talkin' to customers about it? 'Cause this seems to be the hybrid cloud main problem today. It's like, okay I see the cloud, I understand I'm going to be doing a lot of stuff in the cloud, or cloud's going to be on-prem, and it's going to be in the cloud. How do I get ready for the cloud? That seems to be a number one question. >> Yeah, and I think what people are struggling with is, you know, there're a lot of companies out there, particularly in the cloud-native space, that just say: if you just rebuild everything, then your life will be so much better, right? But that's not really realistic for most companies. They need to be able to take what they have, and be able to package it in such a way that they get a lot of the benefits of the cloud and containers without completely re-architecting everything. Because, it might be practical for, say a new start up, or a company like Netflix or Spotify to do that, but lets face it, most companies are not that, most companies have too many demands on their IT and Ops teams already, hiring talent is hard even for the startups working at the forefront of Kubernetes, so, you really need tools that are approachable and solve current problems, but again, I think the key is, set you up for success in the future, and I think we help people kind of bridge the gap between what they're doing today and what they're doing in the future without trying to push them in one direction, which might not make sense for them. >> Yeah, in Netflix, and the Googles of the world, are potential future scenarios of what they might look like, but they got to take care of the current move from IT to cloud, get ready for it. >> Yeah, maybe, and you know, for a lot of these internal applications it doesn't make sense to completely re-architect and rewrite them, like the ROI isn't there, and there are companies out there that have thousands of Java or .NET applications that they just need to be able to move perhaps out of their data center, in many cases it's being shut down, and, onto cloud platforms and so we try to find that nice balance between helping you get the advantage of the automation of cloud without having to invest in re-architecting apps that just aren't worth re-architecting. >> Got to ask you Erica, we've had a couple conversations, I forget what you were founded, at Bitnami, you've had a great journey, a lot of things have changed. When did you guys found 2010, or 2011? >> So we started Bitnami in 2013. The company before Bitnami was Bitrock, and we went through YCombinator in 2013, and that's when we really started growing out the company. First around the app catalog that we deliver both via Bitnami.com as well as all the major cloud platforms, and that's allowed us to bootstrap the business up to this point. And then obviously we took all of the learnings and the technology from delivering 140 applications across 14 different platforms, native and cloud, and productize that in Stacksmith, so our enterprise users, you know, we have over a million deployments a month, but people have only been consuming the things that we build now they can use our tooling, that we've been building out over the years, to automate the packaging of their own applications. >> And it's, just to kind of put some color commentary around that time, it wasn't the most calm waters of the cloud world, massive growth, a lot of things have happened, so containers come to the scene with Docker and that becomes standardized, now you've got Kubernetes, you got service meshes right around the corner, kind of now it sets a perfect opportunity for you guys to bring customers to this app store concept, for you guys. >> Yeah, and we see this great, we call it kind of the great unbundling, right? Where apps used to be distributed with the operating system and they kind of were this one cohesive piece, and now, with Kubernetes and cloud APIs, the applications are very separate, and so there's kind of this new operating system coming together, which is the operating system of containers and Kubernetes and cloud, and it allows you to combine these different pieces in ways that you never could before. Before, you know, you would just go to your OS repo to pull in the app that you wanted. >> And you see the trends, I mean, Google has the SRE concept sight, reliability, engineer, the operators on the VMware side, dealing with VMs kind of all converging together. So I got to ask you, how does that impact your customers with your new Stacksmith offering, what's the impact to the customers? Is it ease of use, is it ease of deployment, what's the main value at? >> So, I think the most important thing is, as you said, there're all these new technologies coming out and there's also cloud formation on AWS, and there's ARM on Azure, and each cloud vendor is coming out with their own tooling and then, like you said, there's operators for Kubernetes. The advantage that you get with Bitnami is you don't have to understand the intricacies of how to package for all of those different platforms because we do that for you. We abstract away having to understand how to build a cloud formation template versus a helm chart helps that Kubernetes, you know, package manager essentially and we've been very involved in helping define and further that project. We're actually the top provider of the official helm charts. So we see a lot of promise there but, what's interesting about Bitnami is at the end of the day we're platform agnostic. And once you start using Bitnami and Stacksmith, you can very easily add support for other platforms. So we have a customer who started out on AWS, for example, they wanted to give a try to running some things on Azure, and they essentially just had to flip a switch, and then they get an ARM template, instead of-- >> What was your alternative to that? If they didn't do that, what would they have to do? >> They would have had to do it either manually, or find system specific tools for each platform, to do it. So, there's no other like singular tool chain that lets you build natively for all the different platforms and that's the key, we don't try to abstract away ARM or any of these other orchestration technologies by giving you some kind of layer on top of them. We just make it really easy to build for those technologies and also, to maintain those applications and templates over time, so this isn't point-in-time thing, we track all of the updates in everything that goes into that image or a set of images, and allow you to automatically rebuild and redeploy across any of those platforms you need to support. >> You guys have been very successful in the cloud, but also have scar tissue like everybody else that's been through the cloud wars. And now, as it starts to hit kind of an inflection point, how has cloud changed now, what are we seeing now in cloud versus, say 2014, 2015 timeframe? >> Oh boy. So, I think the most interesting thing is how quickly Azure in particular has evolved. If I had to pick one thing that has been incredibly impressive and important in the changing cloud landscape, it's, you know, you go back to 2014, it was pretty much all AWS all the time, right? And, Amazon isn't quite the Goliath it used to be anymore, I mean there's-- >> Well it's still pretty damn big. >> They're still huge. Yeah, absolutely, but I'll tell you what, the others are gaining a lot of ground, and they have really interesting and different advantages, right? Google will send all of their amazingly smart engineers in to help you architect applications, or move them over, I've heard a lot of workloads moving off of AWS onto Google because Google is giving them so much love and support and trying to attract those workloads over. But Azure's advantage is their ecosystem, right? They really understand partnering in a way that Amazons retail DNA just, it doesn't lend itself to that, and so, I think Microsoft's approach to building out a really great ecosystem around Azure, coupled with their huge field sales team, which Amazon has just been building, they've never had an enterprise sales team, is making things really interesting and creating, for us, a great dynamic in the market because we like to see a number of cloud vendors flourish. >> You're an arms dealer. >> Yeah exactly! (Erica laughs) >> Whatever you want, any cloud. >> I don't know if our CMO would want me to put it that way, but. (laughing) >> Dave Alante's favorite term, by the way. >> Sure. >> It's good to be an arms dealer, or be Switzerland, as they, to be more politically correct. >> Yeah, we go with Switzerland. >> Azure's interesting, I was just having conversation with Dave about this, because, you know, you've got, consumerization of IT, and digital transformation, have been the biggest buzz words in IT for the past decade. First it was consumerization of IT, now it's digital transformation. If you think about it Amazon and Google are really the consumer companies, Azure is an enterprise company with an ecosystem, so it's going to be very interesting to see if consumerization is the winning formula or is it digital transformation on the enterprise side? So you got to be, watching that pretty closely. Your thoughts? >> So, I would say on the consumerization of IT side, I mean that is absolutely happening, and, there, we could talk for hours probably on why that trend is here and why it's not going away, just, expectations in general have changed with the advent of iPhone and app stores and convenience across every aspect of our lives, so, I think even Microsoft gets that, and I don't think that the consumer DNA of those companies actually gives them a real edge in this case. What is interesting is, every company is starting to really focus on their app stores and their marketplace strategies, and trying to provide a frictionless buying experience. And there're a bunch of announcements coming, both on the AWS side, and the Azure side in particular, around things that they're doing to ease the enterprise buying process. >> Well we identified the three things, SAS business is table stakes, IOT is coming, connected devices, and then you've got the mobile. Those three things are on 20 year runs. Talking about Bitnami's update, you mentioned Stacksmith, you have some new stuff there, you guys are hiring, what's the ramp up, marketing, cash flow, top line revenues? Go ahead, share it. >> I'm not giving you all that. (both laughing) But, yeah it's a really exciting time for us, obviously bringing this enterprise product to market. We're gearing up to scale quite significantly, so, Bitnami's is kind of unusual in the Valley in that we're bootstrapped, and we're very heavily engineering driven. >> So no outside funding? >> A million dollars in total, which pretty much doesn't even count in Silicon Valley, and that was really just they had a number of individual folks involved in the company, when we went through YC. >> So no venturing? >> No, no institutional funding So, we are just getting ready to build out the whole go to market team around the Stacksmith product, which is very new in the market, just launched in the last couple months. >> So is it generally available? >> Oh yes! Generally available, customers, lots of great things to talk about, but, we don't have the full sales team in place. >> And what's the benefits of Stacksmith? What's the bottom line value proposition? >> It's really helping you to automate the packaging and maintenance of your applications, whether internal or external, you know, third-party commercial apps that you're using internally, and deploying them on any of the platforms that you need to support. >> App store for the cloud, I love that. So let's talk about what you're workin' on, one of the things I'm really impressed, first of all I'm really impressed with what you've done with Bitnami, I love it, love the bootstrap stories, we were bootstrapped as well in the run of SiliconANGLE. So it's great, in Silicon Valley, I think that's like the top tier player, if you can bootstrap it to economic visibility around scale, that's a success so congratulations. But you also have something exciting going on with venture investing. X factor, >> X factor, yep. >> This is super impressive. You raised a small little fund, X factor, investing in women entrepreneurs. Take a minute to explain what X factor is, do you have some news coming, another fund coming? >> Sure, yeah it's been very exciting, so, in the free free time that I really don't have, but this is such a good cause it's worth it. We put together a three million dollar fund, to invest a hundred thousand dollars in 30 different companies, with at least one female founder. And this actually was spun out of fly bridge, we have our token guys, we call 'em Chip Hazard, who's a career venture investor, who's doing a lot of interesting things. But, he basically led the charge with a woman named Anna Palmer, to put together a group of female founders, that's what really differentiates us, I think, from the rest of the market, who are operating their own companies, to invest in these very early stage female founded companies And, I think that gives us a really unique advantage in the market of venture, in that first we have an incredible pipeline and deal flow because, you know, we know these folks who are starting the companies. And we also have a unique perspective on the challenges of getting a new venture off the ground, and I think we can really be an ally to the entrepreneurs that we're funding, and helping them get that first bit of funding in the door, we typically help them with their series A rounds and beyond and they really see us as a peer and someone they can relate to and come to for advice, and so, I think it's a pretty unique value prop that we have as a VC fund. >> Operating experience brings a lot to the table, so, you want to get those first three steps goin', get that venture off the ground, trust. >> Yeah, and we have a very diverse range of experiences that we can bring to bare too, I mean some of us have deep infrastructure experience, some folks are on the consumer side, we've got a few East Coast people, a few West Coast people, a few people scattered in other areas. And we all have different areas of expertise, right? I'm pretty strong on the business development side, and I'm business model, SAS, enterprise software. Some of the other women are much more familiar with like distribution deals, or hardware deals, or other consumer businesses as well, so I think we have a really unique range of experiences and expertise that we can bring to bare in supporting our founders. >> And mentoring too, it's being there for, you know, don't give up! >> Yeah! And we've had founders go through things, and they'll call us at, one of our founders I was just on the phone with, and she was looking at changing her role within the company to take on more responsibility, and we had a great conversation around that, and that resulted in her becoming the COO, which was fantastic. Another founder was going through a difficult time where she and her co-founder were splitting up, and I was able to talk her through that. And we have a lot of those stories where, I think, you know, we have really been seen as an ally who can help founders get through those times, because we've been there, and we can empathize. And, it's an interesting dynamic because everybody knows that we're not going to invest in the next round, so there's never any posturing to make sure that they're still selling us on investing in the company. It's all about, once we're in, we're in, and we'll do anything we can do to help you scale successfully over time. >> And the key is get to that next round, or get a clear line of sight on visibility in the union economics or, scale. >> Exactly. >> Alright, so how much is going into the next funding? Can you talk about the amount, or? >> Yeah, so we're not raising yet, we're just about to start raising, we're going to be expanding the number of investment partners on the team, which is fantastic, and I'm really excited to bring some amazing new women on board, so, you know, for the women out there who are maybe interested in starting to learn a little more about venture and have raised funding and build their own companies, please send us an email: hello@xfactorventures the fund should be about 10 million dollars, is the current target. >> How is it structured? Are they structured as limited partners, general partners? How is it, so if someone comes on board, as you expand the partnership what does it look like? >> Sure, so, we all do invest our own money, but the fund has LPs just like any other fund, so there's a number of great folks who have backed up X factor. We do bring in some of our own folks along the way, you know, I had people that I know, who have invested in the fund and I'm sure that will be the case in the next one, but it's not like the fund is only funded by the investment partners, we have LPs like any other fund. >> But you guys are taking profits out of it, through the caring, right? So typical venture capital? >> It's typical venture capital, you know, it's a fairly small fund to start as we work through things, but we expect it to grow quite significantly over time. I'll tell you, without giving away too much, that we have quite grand ambitions for the long term. >> Alright, well let's keep in touch on the deal flow, congratulations on Bitnami, and, we'll see you at the cloud shows, Amazon, Microsoft Ignite, Google Next. >> Everywhere, yep, I'll be there. >> Erica, thanks for coming on and spending some time here on theCUBE. CUBEConversations here in Palo Alto, I'm John Furrier, you're watching CUBEConversations, thanks for watching. (intense orchestral music)
SUMMARY :
great to have you in the studio, you made some time, thanks for comin' down, to deliver the application catalog that we have So it's kind of reverse of this journey to the cloud, and that's the problem that Bitnami solves. How are you guys talkin' to customers about it? and I think we help people kind of bridge the gap but they got to take care of the current move Yeah, maybe, and you know, Got to ask you Erica, we've had a couple conversations, but people have only been consuming the things that we build bring customers to this app store concept, for you guys. and it allows you to combine these different pieces And you see the trends, I mean, Google has the SRE concept and they essentially just had to flip a switch, and that's the key, we don't try to abstract away ARM And now, as it starts to hit kind of an inflection point, it's, you know, you go back to 2014, Well it's still to help you architect applications, or move them over, I don't know if our CMO It's good to be an arms dealer, or be Switzerland, So you got to be, watching that pretty closely. and I don't think that the consumer DNA of those companies and then you've got the mobile. and we're very heavily engineering driven. and that was really just just launched in the last couple months. lots of great things to talk about, but, that you need to support. if you can bootstrap it to Take a minute to explain what X factor is, and someone they can relate to and come to for advice, brings a lot to the table, so, and expertise that we can bring to bare and that resulted in her becoming the COO, And the key is get to that next round, you know, for the women out there who are and I'm sure that will be the case in the next one, that we have quite grand ambitions for the long term. and, we'll see you at the cloud shows, and spending some time here on theCUBE.
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Cisco Live Analysis | Cisco Live US 2018
>> Live from Orlando, Florida, it's The CUBE, covering Cisco Live 2018 brought to you by Cisco, Netapp, and the CUBE's ecosystem partners. >> Hello everyone, welcome back. This is the CUBE live in Orlando for Cisco Live 2018, exclusive coverage, I'm John Furrier, cohost of the CUBE. Stu Miniman all week for three days and we have Dave Alante flying in as well, cohost for our kickoff of day two of our three days of coverage, great Dave, good to see you Stu. Good morning, so I think the big news obviously day one in the books. Cisco Live pumping on all cylinders. The parties, we saw great concert last night at the Cohesity party celebrating their 250 million in funding, but the real big news here is Cisco's moving up the stack and the business performance. Dave, you had a chance to scour the landscape last night and yesterday, what did you find out? What's going on with Cisco's business? >> Well the business wise, I mean, this company is actually doing quite well. It's a large company, 50 billion dollars, they're growing at four percent. You don't usually see growth, we've seen how many quarters in a row as IBM, you know, revenues declined. Cisco's reversed that trend and is growing. The other thing about Cisco is it brought about 60 billion dollars from overseas on the tax holiday, which is just amazing. The company is trying to shift its model, more toward a cloud-like model. Stu, you've made the point many times Cisco, like Dell, doesn't have a cloud. So they've got to create a cloud-like model, they've got to go multi-cloud, they've got to be an arms dealer for the cloud. So as a company that's 50 billion dollars, a 200 billion dollar plus market value, which is down from where they were in the halcyon days but still it's a 4X revenue multiple and they throw off over $10 billion dollars in free cash flow a year, so this company's very, very strong and John, we were talking last night about the angle and security and basically a programmable network infrastructure. To me, the big trend is it's all about the data. As the data explodes, the network gets a lot of pressure. >> You know, Stu, I want to get your thoughts on this because we talked on security last night. Talk about companies that have to pivot. Cisco is not pivoting in any capacity. They are dealing with networks that are running the internet, right? So Chuck Robbins just said, "Look it, "we have done a lot of great things" but they're dealing with so much security threats. It's encrypted traffic, they are dealing with a ton of activity so the relevance of Cisco is on an all time high. The opportunity is to take that relevance and build on top of it, and so, we're looking for some signals, Stu. What do you when you squint through the noise and look at Cisco's relevance, obviously you see they run networks. You're moving up the stack with Kubernetes and containers and DevNet's been a great indicator there's a rise of the new normal, but they gotta actually put it together, they got a community. Where is the change happening, Stu, in your opinion? >> Yes, so John, first of all I look at, we've been tracking Cisco's moves in open source for many years. Dave Wright, Lou Tucker, folks we've had on the CUBE. They're very involved in open stack, they're deeply involved, Kubernetes, Ishdio, Diane Greene on stage. So there was that seed of growth and change, but it didn't really push far enough. Where the critique I've had for Cisco and many of the other big legacy companies, is they haven't really embraced cloud as fast as they could. It's good to see where Cisco is and where they're trying to bring their ecosystem. The exciting stuff has been right here, in the DevNet zone. How many events do we go to and companies we talk to? "Oh we need to be relevant to all "these developers out there," well, Susie and her team here, they've got a platform, they've got 500 thousand developers on it. John, you and I interviewed one little startup's netnology. A buddy of mine, actually, Jason Ellerman, worked for this other company called Network to Code. They've got this whole little incubator section here in the DevNet zone. These are hardcore networking people helping to bridge that gap between the network and the developer world. It's open APIs, it's all the things we've been talking about and that really does set the stage for Cisco to help, not only itself, but it's very large channel and partner ecosystem move further into this new, cloud native world. >> I want to get your thoughts real quick. I know we've got to get in day two but, if you look at Cisco, they've done a lot of things early. The human network, they've had telepresence. So they've hit megatrends, but they misfired on timing. The timing-- >> IOT is another >> IOT, they misfired on timing. But again, they had the network to fall back on, which is a core asset and core competency. But if you look at the timing of what they're doing right now, as Pat Gelsinger would say, "You get on the right wave" and what DevNet, to me, proves, Stu, is your point, is that Cisco's on the Cloud Native wave and they have a clear visibility for their network engineers, not to feel like they're not relevant and they have to retrain to learn how to code. What's important and we talked about it yesterday, is that network engineers are instrumental powering. And they're the tier one people. Now, with Cloud Native, there's a path where they can extend their career, not pivot, or reset, it's just becoming more powerful. So if you can be a network engineer, and then code with Cloud Native, you've got the best of both worlds, the power base extends. It's not like "I need to be retrained, my job's going away." No, no, your job is expanding. This is what DevNet has tapped into with DevNet Create, your reaction. >> Well when cloud exploded, everybody wanted infrastructure as code, and to your point, Stu, you remember when IBM launched Bluemix, like "We need developers." You know, Dell, HPE, Lenovo, these companies don't have a strong developer community, even Oracle kinda lost its way with developers. Here comes Cisco allowing Cisco engineers to do infrastructure as code, it's a huge leverage, it's an amazing-- >> Yeah Oracle should take a playbook out of what Cisco's doing, Stu, your thoughts. >> Yeah, absolutely, there's a lot of training. One of the strengths, actually, if you look at this community, it's about training, we talked about it in our open yesterday, John, when you walk in, there's this giant bookstore, people are excited, it's their career and they've been hearing for the last five years, up, you know. Automations gonna kill your job. That the machines are gonna kill your job. They're jumping in and most of them, at least, are understanding that they need to adjust what they're doing, learn, move forward, and embrace some of these options. >> Well, and it's not just, as we were talking earlier, John, it's not just learning python as a generalist, it's applying it specifically to Cisco infrastructure and actually getting stuff done, moving from command line interfaces to a much more facile development environment. Driving value through developer productivity and increasing value up a stack. >> Yeah as Diane Greene said yesterday in the keynote from Google Cloud is mind blowing experiences. I think Cisco is in a great position, they got a lot of core things going on, it's a position of strength. Can they execute, can they secure that network security, can they have that extensibility and the programmability in the network I think is core. I think DevNet's an indicator. Everything else will fall into place, in my opinion, so, day two Dave, thanks for joining us. >> My pleasure, thanks for having me. >> We'll have Dave Alante in the CUBE throughout the day, he's also gonna go out and get some stories. Wrapping it up here on the intro, day two begins. This is the CUBE, thanks for watching. Be right back with more after this short break. (techno music)
SUMMARY :
and the CUBE's ecosystem partners. This is the CUBE live in Orlando for Cisco Live 2018, on the tax holiday, which is just amazing. Where is the change happening, Stu, in your opinion? and that really does set the stage for Cisco to help, if you look at Cisco, they've done a lot of things early. is that Cisco's on the Cloud Native wave as code, and to your point, Stu, you remember when IBM out of what Cisco's doing, Stu, your thoughts. for the last five years, up, you know. Well, and it's not just, in the network I think is core. This is the CUBE, thanks for watching.
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Chris Cummings, Chasm Institute | CUBE Conversation with John Furrier
(techy music playing) >> Hello, everyone, welcome to theCUBE Studios here in Palo Alto, California. I'm John Furrier, the cofounder of SiliconANGLE Media Inc., also cohost of theCUBE. We're here for a CUBE Conversation on Thought Leader Thursday and I'm here with Chris Cummings, who's a senior manager, advisor, big-time industry legend, but he's also the Chasm Group, right now, doer, Crossing the Chasm, famous books and it's all about the future. Formerly an exec at Netapp, been in the storage and infrastructure cloud tech business, also friends of Stanford. Season tickets together to go to the tailgates, but big Cal game coming up of course, but more importantly a big-time influence in the industry and we're going to do some drill down on what's going on with cloud computing, all the buzzword bingo going on in the industry. Also, AWS, Amazon Web Services re:Invent is coming up, do a little preview there, but really kind of share our views on what's happening in the industry, because there's a lot of noise out there. We're going to try to get the signal from the noise, thanks for watching. Chris, thanks for coming in. >> Thank you so much for having me, glad to be here. >> Great to see you, so you know, you have seen a lot of waves of innovation and right now you're working with a lot of companies trying to figure out the future. >> That's right. >> And you're seeing a lot of significant industry shifts. We talk about it on theCUBE all the time. Blockchain from decentralization all the way up to massive consolidation with hyper-convergence in the enterprise. >> Mm-hmm. >> So a lot of action, and because of the day the people out in the marketplace, whether it's a developer or a CXO, CIO, CDO, whatever enterprise leader's doing the transformations. >> Chris Collins: We got all of them. >> They're trying to essentially not go out of business. A lot of great things are happening, but at the same time a lot of pressure on the business is happening. So, let's discuss that, I mean, you are doing this for work at the Chasm Group. Talk about your role, you were formerly at Netapp, so I know you know the storage business. >> Right. >> So we're going to have a great conversation about storage and impact infrastructure, but at the Chasm Group how are you guys framing the conversation? >> Yeah, Chasm Group is really all about helping these companies process their thinking, think about if they're going to get to be a platform out in the industry. You can't just go and become a platform in the industry, you got to go knock down problem, problem, problem, solution, solution, solution. So we help them prioritize that and think about best practices for achieving that. >> You know, Dave Alante, my co-CEO, copartner, co-founder at SiliconANGLE Media and I always talk about this all the time, and the expression we use is if you don't know what check mate looks like you shouldn't be playing chess, and a lot of the IT folks and CIOs are in that mode now where the game has changed so much that sometimes they don't even know what they're playing. You know, they've been leaning on this Magic Quadrant from Gartner and all these other analyst firms and it's been kind of a slow game, a batch kind of game, now it's real time. Whatever metaphor you want to use, the game has changed so the chessboard has changed. >> Chris: Mm-hmm. >> So I got to get your take on this because you've been involved in strategy, been on product, you worked at growth companies, big companies, start-ups, and now looking at the bigger picture, what is the game? I mean, right now if you could lay out the chessboard, what are people looking at, what is the game? >> So, we deal a lot with customer conversations and that's where it all kind of begins, and I think what we found is this era of pushing product and just throwing stuff out there. It worked for a while but those days are over. These folks are so overwhelmed. The titles you mentioned, CIO, CDO, all the dev ops people, they're so overwhelmed with what's going on out there. What they want is people to come in and tell them about what's happening out there, what are their peers doing and what problems are they trying to solve in order and drive it that way. >> And there's a lot of disruption on the product side. >> Yes. >> So tech's changing, obviously the business models are changing, that's a different issue. Let's consider the tech things, you have-- >> Mm-hmm. >> A tech perspective, let's get into the tech conversation. You got cloud, you got private cloud, hybrid cloud, multi-cloud, micro-machine learning, hyper-machine learning, hyper-cloud, all these buzzwords are out there. It's buzzwords bingo. >> Chris: Right. >> But also the reality is you got Amazon Web Services absolutely crushing it, no doubt about it. I mean, I've been looking at Oracle, I've been looking at Google, I've been looking at SAP, looking at IBM, looking at Alibaba, looking at Microsoft, the game is really kind of a cloak and dagger situation going on here. >> That's right. >> A lot of things shifting on the provider side, but no doubt scale is the big issue. >> Chris: That's right. >> So how does a customer squint through all this? >> The conversations that I've had, especially with the larger enterprises, is they know that they've got to be able to adopt and utilize the public cloud capabilities, but they also want to retain that degree of control, so they want to maintain, whether it's their apps, their dev ops, some pieces of their infrastructure on prem, and as you talked about that transition it used to be okay, well we thought about cloud was equal to private cloud, then it became public cloud. Hybrid cloud, people are hanging on to hybrid cloud, sometimes for the right reasons and sometimes for the wrong reasons. Right reasons are because it's critical for their business. You look at somebody, for instance, in media and entertainment. They can't just push everything out there. They've got to retain control and really have their hands around that content because they've got to be able to distribute it, right? But then you look at some others that are hanging on for the wrong reasons, and the wrong reasons are they want to have their control and they want to have their salary and they want to have their staff, so boy, hybrid sounds like a mix that works. >> So I'm going to be having a one-on-one with Andy Jassy next week, exclusive. I do that every year as part of theCUBE. He's a great guy, good friend, become a good friend, because we've been a fan of him when no one loved Amazon. We saw the early, obviously at SiliconANGLE, now he's the king of the industry, but he's a great manager, great executive, and has done a great job on his ethos of Bezos and Amazon. Ship stuff faster, lower prices, the flywheel that Amazon uses. Everything's kind of on that-- And they own Twitch, which we stream, too, and we love. But if you could ask Andy any questions what questions would you ask him if you get to have that one-on-one? >> Yeah, well, it stems from conversations I've had with customers, which was probably once a week I would be talking to a CIO or somebody on that person's staff, and they'd slide the piece of paper across and say this is my bill. I had no idea that this was what AWS was going to drive me from a billing perspective, and I think we've seen... You know, we've had all kinds of commentary out there about ingress fees, egress fees, all of that sort of stuff. I think the question for Andy, when you look at the amount of revenue and operating margin that they are generating in that business, how are they going to start diversifying that pricing strategy so that they can keep those customers on without having them rethink their strategy in the future. >> So are you saying that when they slide that piece of paper over that the fees are higher than expected or not... Or low and happy, they're happy with the prices. >> Oh, they're-- I think they're-- I think it's the first time they've ever thought that it could be as expensive as on-premise infrastructure because they just didn't understand when they went into this how much it was going to cost to access that data over time, and when you're talking about data that is high volume and high frequency data, they are accessing it quite a bit, as opposed to just stale, cold, dead stuff that they want to put off somewhere else and not have to maintain. >> Yeah, and one of the things we're seeing that we pointed at the Wikibon team is a lot of these pricings are... The clients don't know that they're being billed for something that they may not be using, so AI or machine learning could come in potentially. So this is kind of what you're getting at. >> Exactly. >> The operational things that Amazon's doing to keep prices low for the customer, not get bill shock. >> Chris: That's right. >> Okay, so that's cool. What else would you ask him about culture or is there anything you would ask him about his plans... What else would you ask him? >> I think another big thing would be just more plans on what's going to be done around data analytics and big data. We can call it whatever we want, but they've been so good at the semi-structured or unstructured content, you know, when we think about AWS and where AWS was going with S3, but now there's a whole new phenomenon going on around this and companies are as every bit as scared about that transition as they were about the prior cloud transition, so what really are their plans there when they think about that, and for instance, things like how does GPU processing come into play versus CPU processing. There's going to be a really interesting discussion I think you're going to have with him on that front. >> Awesome, let's talk about IT. IT and information technology departments formerly known as DP, data processing, information-- All that stuff's changed, but there were still guys that were buying hardware, buying Netapp tries that you used to work for, buying EMC, doing data domain, doing a lot of stuff. These guys are essentially looking at potentially a role where-- I mean, for instance, we use Amazon. We're a big customer, happy customer. >> Chris: Mm-hmm. >> We don't have those guys. >> Chris: Right. >> So if I'm an IT guy I might be thinking shit, I could be out of a job, Amazon's doing my job, so I'm not saying that's the case but that's certainly a fear. >> Chris: Absolutely. >> But the business models have to shift from old IT to new IT. >> Chris: Mm-hmm. >> What does that game look like? What is this new IT game? Is it more, not a department view, is it more of a holistic view, and what's the sentiment around the buyers and your customers that you talk to around how do they message to the IT guys, like, look, there's higher valued jobs you could go to. >> Right. >> You mention analytics... >> That's right. >> What's the conversation? Certainly some guys won't make the transition and might not make it, but what's the narrative? >> Well, I think that's where it just starts with what segment are you talking about, so if you look at it and say just break it down between the large enterprise, the uber enterprise that we've seen for so long, mid-size and smaller, the mid-size and smaller are gone, okay. Outside of just specific industries where they really need that control, media and entertainment might be an example. That mid-size business is gone for those vendors, right? So those vendors are now having to grab on and say I'm part of that cloud phenomenon, my hyper-cloud of the future. I'm part of that phenomenon, and that becomes really the game that they have to play, but when you look at those IT shops I think they really need to figure out where are they adding value and where are they just enabling value that's being driven by cloud providers, and really that's all they are is a facilitator, and they've got to shift their energy towards where am I adding value, and that becomes more that-- >> That's differentiation, that's where differentiation is, so non-differentiated labor is the term that Wikibon analysts use. >> Oh, okay. >> That's going down, the differentiated labor is either revenue generating or something operationally more efficient, right? >> That's right, and it's all going to be revenue generating now. I mean, I used to be out there talking about things like archiving, and archiving's a great idea. It's something where I'm going to save money, okay, but I got this many projects on my list if I'm a CIO of where I can save money. I'm being under pressure about how am I going to go generate money, and that's where I think people are really shifting their eyeballs and their attention, is more towards that. >> And you got IOT coming down the pike. I mean, we're hearing is from what I hear from CIOs when we have a few in-depth conversations is look, I got to get my development team ramped up and being more cloud native, more microservice and I got to get more app development going that drives revenue for my business, more efficiency. >> Chris: Right. >> I have a digital transformation across the company in terms of hiring culture and talent. >> Chris: Mm-hmm. >> And then I got pressure to do IOT. >> Chris: Right. >> And I got security, so of those five things, IOT tends to fall out, security takes preference because of the security challenges, and then that's already putting their plate full right there. >> That's right, that's real time and those people are-- >> Those are core issues. >> Putting too much pressure on that right now and then you're thinking about IT and in the meantime, by the way, most of these places don't have the dev ops shop that's operating on a flywheel, right? So you're not... What's it, Goldman Sachs has 5,000 developers, right? That's bigger than most tech companies, so as a consequence you start thinking about well, not everybody looks like that. What the heck are they going to do in the future. They're going to have to be thinking about new ways of accessing that type of capability. >> This is where the cloud really shines in my mind. I think in the cloud, too, it's starting to fragment the conversations. People will try to pigeonhole Amazon. I see Microsoft-- I've been very critical of Microsoft in their cloud because-- First of all, I love the move that they're making. I think it's a smart move business-wise, but they bundle in 365 Office, that's not really cloud, it's just SAS, so then you start getting into the splitting of the hairs of well, SAS is not included in cloud. But come on, SAS is cloud. >> Chris: Mm-hmm. >> Well, maybe Amazon should include their ecosystem that would be a trillion dollar revenue number, so all companies don't look the same. >> That's right. >> And so from an enterprise that's a challenge. >> Chris: Mm-hmm. >> Do I got to hire developers for Asger, do I got to hire developers for Amazon, do I got to hire developers for Google. >> Chris: Mm-hmm. >> There's no stack consistency across private enterprises to cloud. >> Chris: So I have-- >> Because I'm a storage guy, I've got Netapp drives and now I've got an Amazon thing. I like Amazon, but now I got to go Asger, what the hell do I do? >> I got EMCs here and I got Nimbles there and HP and I've still got tape from IBM from five decades ago, so, John, I got a great term for you that's going to be a key one, I think, in the ability. It's called histocompatibility, and this is really about... >> Oh, here we go. Let's get nerdy with the tape glasses on. >> It's really about the ability to be able to inter-operate with all this system and some of these systems are live systems, they're current systems. Some of it's garbage that should've been thrown out a long time ago and actually recycled. So I think histocompatibility is going to be a really, really big deal. >> Well, keep the glasses on. Let's get down in the weeds here. >> Okay. >> I like the-- With the pocket protector, if you had the pocket protector we'd be in good shape. >> Yep. >> So, vendors got to compete with these buzzwords, become buzzword bingo, but there are trends that you're seeing. You've done some analysis of how the positionings and you're also a positioning guru as well. There's ways to do it and that's a challenge is for suppliers, vendors who want to serve customers. They got to rise above the noise. >> Chris: That's right. >> That's a huge problem. What are you seeing in terms of buzzword bingo-- >> Oh, my goodness. >> Because like I said, I used to work for HP in the old days and they used to have an expression, you know, don't call it what it is because that's boring and make it exciting, so the analogy they used was sushi is basically cold, dead fish. (laughing) So, sushi is a name for cold, dead fish. >> Chris: Yeah. >> So you don't call your product cold, dead fish, you call it sushi. >> Chris: Right. >> That was the analogy, so in our world-- >> Chris: That was HP-UX. >> That was HP-UX, you know, HP was very engineering. >> Yes. >> That's not-- Sushi doesn't mean anything. It's cold, dead fish, that's what it is. >> Right. >> That's what it does. >> That's right. >> So a lot of vendors can error in that they're accurate and their engineers, they call it what it is, but there's more sex appeal with some better naming. >> Totally. >> What are you seeing in terms of the fashion, if you will, in terms of the naming conventions. Which ones are standing out, what's the analysis. >> Well, I think the analysis is this, you start with your adjectives with STEM words, John, and what I mean by that is things like histocompatibility. It could start with things like agility, flexibility, manageability, simplicity, all those sorts of things, and they've got to line those terms up and go out there, but I think the thing that right now-- >> But those are boring, I saw a press release saying we're more agile, we're the most effective software platform with agility and dev ops, like what the hell does that mean? >> Yeah, I think you also have to combine it with a heavy degree of hyperbole, right? So hyperbole, an off-the-cuff statement that is so extreme that you'd never really want to be tested on it, so an easy way to do that is to add hyper in front of all that. So it's hyper-manageability, right, and so I think we're going to see a whole new class of words. There are 361 great adjectives with STEMs, but-- >> Go through the list. >> Honestly. >> Go through the list that you have. >> I mean, there's so many, John, it's... >> So hyper is an easy one, right? >> Hyper is easy, I think that's a very simple one. I think now we also see that micro is so big, right, because we're talking about microservices and that's really the big buzzword in the industry right now. So everything's going to be about micro-segmenting your apps and then allowing those apps to be manifest and consumed by an uber app, and ultimately that uber app is an ultra app, so I think ultra is going to be another term that we see heading into the spectrum as well. >> And so histocompatibility is a word you mentioned, just here in my notes. >> Yep. >> You mentioned, so histo means historical. >> Exactly. >> So it means legacy. >> Chris: That's right. >> So basically backwards compatible would be the boring kind of word. >> Chris: That's right. >> And histocompatibility means we got you covered from legacy to cloud, right. >> Uh-huh. >> Or whatever. >> You bet. >> Micro-segmentility really talks to the granularity of data-driven things, right? >> That's right, another one would be macro API ability, it's kind of a mouthful, but everyone needs an API. I think we've seen that and because they're consuming so many different pieces and trying to assemble those they've got to have something that sits above. So macro API ability, I think, is another big one, and then lastly is this notion of mobility, right. We talk about-- As you said earlier, we talked about clouds and going from-- It's not just good enough to talk about hybrid cloud now, it's about multi-cloud. Well, multi-cloud means we're thinking about how we can place these apps and the data in all kinds of different spaces, but I've got to be able to have those be mobile, so hyper-mobility becomes a key for these applications as well. >> So hyper-scale we've seen, we've seen hyper-convergence. Hyper is the most popular-- >> Chris: Absolutely. >> Adjective with STEM, right? >> Chris: It's big. >> STEM words, okay, micro makes sense because, you know, micro-targeting, micro-segmentation, microservices, it speaks to the level of detail. >> Chris: Right. >> I love that one. >> Chris: Right. >> Which ones aren't working in your mind? We see anything that's so dead on arrival... >> Sure, I think there's a few that aren't working anymore. You got your agility, you got your flexibility, you got your manageability, and you got your simplicity. Okay, I could take all four of those and toss those over there in the trash because every vendor will say that they have those capabilities for you, so how does that help you distinguish yourself from anyone else. >> So that's old hat. >> It's just gone. >> Yeah, never fight fashion, as Jeremy Burton at EMC, now at Dell Technologies, said on theCUBE. I love that, so these are popular words. This is a way to stand out and be relevant. >> That's right. >> This is the challenge for vendors. Be cool and relevant but not be offensive. >> Yeah. >> All right, so what's your take on the current landscape for things like how do companies market themselves. Let's say they get the hyper in all the naming and the STEM words down. They have something compelling. >> Chris: Right. >> Something that's differentiated, something unique, how do companies stand out above the crowd, because the current way is advertising's not working. We're seeing fake news, you're seeing the analyst firms kind of becoming more old, slower, not relevant. I mean, does the Magic Quadrant really solve that problem or are they just putting that out there? If I'm a marketer, I'm a B2B marketer. >> Yeah. >> Obviously besides working with theCUBE and our team, so obviously great benefits. Plug there, but seriously, what do you advise? >> Yeah, I think the biggest thing is, you know, you think about marketing as not only reaching your target market, but also enabling your sales force and your channel partners, and frankly, the best thing that I've found in doing that, John, is starting every single piece that we would come up with with a number. How much value are we generating, whether it's zero clicks to get this thing installed. It's 90% efficiency, and then prove it. Don't just throw it out there and say isn't that good enough, but numbers matter because they're meaningful and they stimulate the conversation, and that's ultimately what all of this is. It's a conversation about is this going to be relevant for you, so that's the thing that I start with. >> So you're say being in the conversation matters. >> Absolutely. >> Yeah. >> Absolutely. >> What's the thought leadership view, what's your vision on how a company should be looking at thought leadership. Obviously you're seeing more of a real-time-- I call it the old world was batch marketing. >> Chris: Mm-hmm. >> E-mail marketing, do the normal things, get the white papers, do those things. You know, go to events, have a booth, and then the new way is real-time. >> Chris: Mm-hmm. >> Things are happening very fast-- >> That's right. >> In the market, people are connected now. It's a global, basically, message group. >> That's right. >> Twitter, LinkedIn, Facebook and all this stuff. >> It's really an unfulfilled need that you guys are really looking to fill, which is to provide that sort of real-time piece of it, but I think vendors trip over themselves and they think about I need a 50 page vision. They don't need a 50 page vision. What they need is here are a couple of dimensions on which this industry is going to change, and then commit to them. I think the biggest problem that many vendors have is they won't commit, they hedge, as opposed to they go all in behind those and one thing we talk about at Chasm Institute is if you're going to fail, fail fast, and that really means that you commit full time behind what you're pushing. >> Yeah, and of course what the Chasm, what it's based upon, you got to get to mainstream, get to early pioneers, cross the chasm. The other paradigm that I always loved from Jeffrey Moore was inside the tornado. Get inside the tornado because if you don't get in you're going to be spun out, so you've got to kind of get in the game, if you will. >> Chris: That's right. >> Don't overthink it, and this is where the iteration mindset comes in, "agile" start-up or "agile" venture. Okay, cool, so let's take a step back and reset to end the segment here. >> Mm-hmm. >> Re:Invent's coming up, obviously that's the big show of the year. VMworld, someone was commenting on Facebook VMworld 2008 was the big moment where they're comparing Amazon now to VMworld in 2008. >> Chris: Right. >> But you know, Pat Gelsinger essentially cut a great deal with Andy Jassy on Vmware. >> Chris: Right. >> And everything's clean, everything's growing, they're kicking ass. >> Chris: Mm-hmm. >> They got a private cloud and they got the hybrid cloud with Amazon. >> Yeah, it's that VMcloud on Amazon, that really seems to be the thing that's really driving their move into the future, and I think we're going to see from both of those folks, you are going to see so much on containers. Containerization, ultra-containers, hyper-containers, whatever it may be. If you're not speaking container language, then you are yesterday's news, right? >> And Kubernetes' certainly the orchestration piece right underneath it to kind of manage it. Okay, final point, what's in store for the legacy, because you're seeing a few major trends that we're pointing out and we're watching very closely, which really I put into two buckets. I know Wikibon's a more disciplined approach, I'm more simple about that. The decentralization trend we're seeing with Blockchain, which is kind of crazy and bubbly but very infrastructure relevant, this decentralized, disrupting, non-decentralized incumbence, so that's one trend and the other one is what cloud's doing to legacy IT vendors, Oracle, you know, these traditional manufacturers like that HP and Dell and all these guys, and Netapp which is transforming. So you've got disruption on both sides, cloud and like a decentralized model, apps, what's the position, view, from your standpoint, for these legacy guys? >> It's going to be quite an interesting one. I think they have to ride the wave, and I'll steal this from Peter Levine, from Andreessen, right? He talks about the end of cloud computing, and really what that is is just basically saying everything is going to be moving to the edge and there's going to be so much more compute at the edge with IOT and you can think about autonomous vehicles as the ultimate example of that, where you're talking about more powerful computers, certainly, than this that are sitting in cars all over the place, so that's going to be a big change, and those vendors that have been selling into the core data center for so long are going to have to figure out their way of being relevant in that universe and move towards that. And like we were talking about before, commit to that. >> Yeah. >> Right, don't just hedge, but commit to it and move. >> What's interesting is that I was talking with some executives at Alibaba when I was in China for part of the Alibaba Cloud Conference and Amazon had multiple conversations with Andy Jassy and his team over the years. It's interesting, a lot of people don't understand the nuances of kind of what's going on in cloud, and what I'm seeing is it's essentially, to your point, it's a compute game. >> Chris: Yeah. >> Right, so if you look at Intel for instance, Alibaba told me on my interview, they don't view Intel as a chip company anymore, they're a compute company, right, and CJ Bruno, one of the executives there, reaffirmed that. So Intel's looking at the big picture saying the cloud's a computer. Intel Inside is a series of compute, and you mentioned that the edge, Jassy is building a set of services with his team around core compute, which has storage, so this is essentially hyper-converged cloud. >> That's right. >> This is a pretty big thing. What's the one thing that people might not understand about this. If you could kind of illuminate this trend. I mean, the old Intel now turned into the new Intel, which is a monster franchise continuing to grow. >> Mm-hmm. >> Amazon, people see the numbers, they go oh, my god, they're a leader, but they have so much more headroom. >> Chris: Right, right. >> And they've got everyone else playing catch up. >> Yeah. >> What's the real phenomenon going on here? >> I think you're going to see more of this aggregation phenomenon where one vendor can't solve this entire problem. I mean, look at most recently, in the last two weeks, Intel and AMD getting together. Who would've thought that would happen? But they're just basically admitting we got a real big piece of the equation, Intel, and then AMD can fulfill this niche because they're getting killed by NVIDIA, but you're going to see just more of these industry conglomerations getting together to try and solve the problem. >> Just to end the segment, this is a great point. NVIDIA had a niche segment, graphics, now competing head to head with Intel. >> Chris: That's right. >> So essentially what's happening is the landscape is completely changing. Once competitors no longer-- New entrants, new competitors coming in. >> Chris: Mm-hmm. >> So this is a massive shift. >> Chris: It is. >> Okay, Chris Cummings here inside theCUBE. I'm John Furrier of CUBE Conversation. There's a massive shift happening, the game has changed and it's incumbent upon start-ups, venture capital, you know, Blockchain, ICOs or whatever's going on. Look at the new chessboard, look at the game and figure it out. Of course, we'll be broadcasting live at AWS re:Invent in a couple weeks. Stay tuned, more coverage, thanks for watching. (techy music playing)
SUMMARY :
and it's all about the future. and right now you're working with a lot all the way up to massive consolidation So a lot of action, and because of the day but at the same time a lot of pressure You can't just go and become a platform in the industry, and the expression we use is if you don't know and I think what we found is this era Let's consider the tech things, you have-- A tech perspective, let's get into the tech conversation. But also the reality is you got but no doubt scale is the big issue. and sometimes for the wrong reasons. So I'm going to be having a one-on-one in that business, how are they going to start diversifying that piece of paper over that the fees and not have to maintain. Yeah, and one of the things we're seeing to keep prices low for the customer, not get bill shock. What else would you ask him about culture about the prior cloud transition, that you used to work for, buying EMC, so I'm not saying that's the case But the business models have to how do they message to the IT guys, like, and that becomes really the game that they have to play, is the term that Wikibon analysts use. That's right, and it's all going to and I got to get more app development going I have a digital transformation across the company because of the security challenges, What the heck are they going to do in the future. First of all, I love the move that they're making. so all companies don't look the same. Do I got to hire developers for Asger, private enterprises to cloud. I like Amazon, but now I got to go Asger, so, John, I got a great term for you that's going to Let's get nerdy with the tape glasses on. It's really about the ability Let's get down in the weeds here. With the pocket protector, if you had You've done some analysis of how the positionings What are you seeing in terms of buzzword bingo-- so the analogy they used was So you don't call your product It's cold, dead fish, that's what it is. and their engineers, they call it what it is, What are you seeing in terms of the fashion, and they've got to line those terms up and go out there, and so I think we're going to see a whole new class of words. and that's really the big buzzword you mentioned, just here in my notes. So basically backwards compatible we got you covered from legacy to cloud, right. but I've got to be able to have those be mobile, Hyper is the most popular-- microservices, it speaks to the level of detail. We see anything that's so dead on arrival... so how does that help you distinguish I love that, so these are popular words. This is the challenge for vendors. the naming and the STEM words down. I mean, does the Magic Quadrant really solve that problem Plug there, but seriously, what do you advise? so that's the thing that I start with. I call it the old world was batch marketing. get the white papers, do those things. In the market, people are connected now. and that really means that you commit Get inside the tornado because if you don't get in and reset to end the segment here. that's the big show of the year. But you know, Pat Gelsinger essentially And everything's clean, everything's growing, got the hybrid cloud with Amazon. that really seems to be the thing And Kubernetes' certainly the orchestration piece all over the place, so that's going to be a big change, the nuances of kind of what's going on in cloud, and CJ Bruno, one of the executives there, reaffirmed that. I mean, the old Intel now turned into the new Intel, Amazon, people see the numbers, I mean, look at most recently, in the last two weeks, now competing head to head with Intel. the landscape is completely changing. the game has changed and it's incumbent upon start-ups,
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Kent Farries & Ikenna Nwafor, TransAlta | Splunk .conf 2017
>> Narrator: Live from Washington D.C. It's The Cube covering .Conf 2017. Brought to you by Splunk. >> Welcome back to Washington D.C., the Cube continue our coverage here of .Conf2017. It's the Splunk get together here in Washington D.C. We're at the Washington convention center where they have a record crowd, 7,000+ everyone having a splunking good time you might say. Dave Alante, John Walls here and we're joined by a couple of gentlemen who work with TransAlta. Kent Farries on the far left, who's a senior analyist working the security intelligence analytics as well at TransAlta Kent good morning to you sir. I guess good afternoon, we've crossed that threshold haven't we? And Ikenna Nwafor who's a senior information security specialist at TransAlta as well. So good morning to you. >> Thank you good morning to you. >> Kent maybe you could just tee us up a little bit about TransAlta. Tell us a little bit about what core function, what you all are up to and then how the two of you are helping that mission along it's way. >> Sure, TransAlta is a well-respected power generator and wholesale marketer of electricity. It's been in business for over 100 years. We're based out of Calgary, Canada and we have operations in the United States as well as Australia. Myself and Ikenna are part of the security team based out of Calgary and then we also have off shored or outsourced some of the security operations and our function. >> Which I imagine is vast. Right, I mean you've got you know, you're primary mission obviously security, I would assume of the grid, distribution of power. >> Kent: You are correct. >> That's your number one focus. Right, so talk about the complexities of that in general for our audience who may not be familiar with your particular business but you obviously can imagine the nuances and the sensitivities that you have to deal with. >> Kent: So do you want to? >> Ikenna why don't you take that. >> I think they found out that we are in the prior generation business, makes us a critical infrastructure. And that means working and having ties to the grid makes it very critical that we protect our critical information systems from the threat landscape currently in security so it's a vast responsibility for the team, and we have regulatory requirements we need to abide by, things around (inaudible) and compliance requirements so that's really a very daunting task for us to mate with from a security standpoint. >> Right so it's critical infrastructure, that is distributed in it's nature, so it's high value, you're a target. You got to wake up every day knowing that. >> Yeah sure. >> Okay, so maybe take us through sort of your Splunk journey and what role it played kind of the before and after and how has it affected your business? >> I'll take that. So in the mid-2000s, we did security and everything but it wasn't really a key focus of senior manaagement or anything, it wasn't a lot of real breeches, most of the stuff that was going on was a nuisance, right? Out of the marketplace. >> Dave: Kind of hacktivists. >> Yeah, and we dealt with it, a lot of it still wasn't really coming through the internet, it was still coming through other means. So it wasn't at the forefront, even though we tried in say 2006 to make sure that security was at the forefront management wasn't quite ready at that time. Wasn't big breaches or anything. Around 2009 is our first introduction to what we call the SIEM, Security Information Event Management Solution, basically log management. We implemented that in 2009, and then we had that running for about five years until about 2014, but we started to lose some confidence in that tool, it just didn't give us the information that we wanted or needed to properly detect, respond to today's threats. So we stumbled upon Splunk, it took a little while to actually buy it. One of the system engineers tried to sell it to us we said nah, come back later. Nah, no, I don't even know what it is. And then finally I actually spun it up a proof of concept and I go this thing's amazing. Everything I ever thought of doing, I can actually do with this tool. This is wow. So took the POC, sold it to management, come January 2015 we implemented it, we hired the company out of Ontario to help stand it up, and bring all the data in. It was amazing and we had everything we ever wanted. It blew away our previous security information management system. >> So the SIEM fell short, you said because it didn't really give you the information you needed. Was it also a case of it was just too much information? >> It was difficult to use, so we actually went on training when we implemented the original one in 2009. So two weeks of training, down in the U.S., come back, architect still had a consultant help us stand it all up. But we couldn't build the use cases that we really needed. We were happy at the time, just to get log data, but there's no data enrichment or good correlation capabilities or it was super super difficult to implement. You couldn't search something like Splunk Answers, which you can today. I need to Google anything and the answer's out there around Splunk which is just the community's phenomenal. >> So at the time you didn't know what you didn't know and then once you saw Splunk, it sort of changed your vision of what was possible but so you said it was amazing but why is it amazing, what is it about Splunk that the SIEM tools don't do? >> I think to Kent's point, part of the challenge we had with the previous SIEM tool was the fact that it required a whole lot of work to even get a single simple use case in place for our security. Where as when we had Splunk in place, one is onboarding data logs from various sources was really really dead simple. The initial set up was within a day or half a day to basically replicate what we had from our previous SIEM, which was really fast. And then the other thing is Splunk provided a whole lot of flexibility where you really didn't need to go for some two weeks training to actually get going initially. And through the period we've had Splunk, we've seen that there's been a lot of things we've been able to achieve that we couldn't accomplish when we had our previous SIEM. >> Like for example, I mean what's it letting you do now that day to day that you couldn't do before? >> So if you buy a SIEM, typically it's in a vertical. It's serving one purpose. When you implement that it's usually the security team that gets to use it, and you got to bring in all this log data. Your other teams, say in operations or whatever, they want their log data too but they're in a totally different system, with Splunk it's a platform for us. So we bring all the data in, it's consumed by the IT security, it's consumed by dev ops and operations. So the same amount of data that you bring in say from an endpoint, we'll use it for detection forensics type capabilities, but the desktop team can use it as well to see is there application problems, desktop problems. Do I have drivers or something on a desktop that needs to be updated. We can be more proactive and help out the user so for us it's like a fabric. The foundation so once we've got that laid, yep? >> So all these use cases that you're laying out, previously you would have to essentially customize for each use case, is that right? >> Previously we couldn't even do some of them and then the other thing is we would most likely need to engage a third party contractor to assist us with that. Somebody who is a specialist in that field, whereas with Splunk some of the key things that helped us with Splunk is that maybe in the process of responding to a security event. We could think up ideas of we need this information, how do we get it? And on the fly we can easily build up a use case within minutes to get the information we need from Splunk we don't need to consult anyone, we don't need to read up manuals and for instances here we really need information to help us with building up the use cases going to like Kent mentioned earlier, going to Splunk Answers, you most likely get, so there's a broader community with Splunk that really helps with giving you the information you need to help you in your Splunk journey. >> Okay, so it's more intuitive I'm hearing and it's got the data that you need. >> Exactly. >> And so but even if you had an equivalent of Splunk Answers for your previous SIEM tool, you're saying you wouldn't have been able to because it's not flexible enough to architect what you needed? >> Ikenna: Exactly. >> And I'd like to just put a comment in there. I've been in IT for a long time. And I've always wanted to say, build my own database to bring stuff in and do different things, so I'm pretty good at scripting, but I don't want to be designing a full application or whatever. When I saw Splunk and how easy it was to onboard data, I go wow, this is amazing. So when I brought the consultant in and we stood up our original infrastructure, not only did we stand up ES within two weeks, enterprise security, we also onboarded all my custom stuff, like PowerShell scripts, everything else so we brought in acting directory data into Splunk and made it a PVR for us. So we go back in time and look at any one who their manager was and everything that's happened to that account at that exact time and we can correlate that with IP information everything else. As well we have all of our floors are mapped out. We know where you are in any given building or facility. So we were able to do that at a point in time, 'cause there's a PVR. We don't lose that information. And that's data enrichment, and we couldn't do that in the old system. >> So you had a time machine for your machine data. >> Kent: Yeah, it is, absolutely. >> Okay, cool. Now back to your business a little bit, so there's a physical security aspect of what you guys have to worry about as well. And I'm wondering if you could talk about that and how just the sort of attitude you touched on this before, Kent but how the attitudes towards security have changed and evolved over the last decade. Obviously greater awareness. Has that trickled into the lines of business? Or is it still mostly an IT and a security pro problem? >> I'll let Ikenna answer this. >> So really, for us it's been a journey for the last little while around security. And a couple of things we've had over the past few years is spreading the awareness around security across the business and that's really gained traction where it's no longer just the IT security folks talking to the business about what they need to do for security. But also the business getting back to IT security and trying ones they want to implement, setting up solutions trying to figure out okay, what do we do for security? Can you help assist us with something around risk assessment and really over time that has really helped spread that awareness and also we do a whole lot of things around trying to build a security program through performance assesments, that would be useful to identify gaps. And being able to communicate with the stats to senior management, around getting the necessary buy-in to proceed with whatever initiatives we want to run along with from a security standpoint. You want to add to that? >> I think that's good. >> Yeah, I'm sensing that prior to Splunk it was an uphill battle to get management to invest. Because they probably said, alright we're going to throw money at it, what's the result that we're going to get. As you can present metrics to management, it's easier to justify the investments because they're going to be able to see the outcomes, is that fair? >> Yes, definitely. I think prior to Splunk really we had certain sets of metrics but what Splunk has really helped us do is really consolidate all the log sources we have, get the right information and be able to actually provide a holistic view of our security program to senior management and show them across the different business units where we can get value for investment pointing to security. >> And have you evaluated alternatives, I know those competitors, they've bumped up in the past couple of years, have you evaluated those? Or did you at the time? >> Yeah so in 2009, we looked at a few different vendors and we picked a market leader at the time. There's a couple that we liked more than the market leader but they just didn't scale to our size. Back in those days certain vendors would call it events per second or whatever, we did some analysis and go, they just can't scale. That one back in 2009 is now a market leader. It's pretty good, it looks really interesting and everything as well there's about two or three players out there that I think look great from a SIEM perspective, but if you think of us, where we are at a SIEM is a component, but we actually have a platform. And management's bought into the platform, not only a SIEM, they didn't even know what a SIEM really was, before say 2013. And now they just know that we can provide information when they ask for it. If we don't know, we can get the answer within minutes or maybe hours sometimes depending on the complexity of the query, but we have all the information, we have all the PVR, time machine as you mentioned. It's all sitting there. We brought in most of our data, we got a couple little pieces we're still working on, there's different cloud information we're bringing in or other data enrichment. We can tell for example, an ISP anywhere in the world. We can tell our user visited that ISP. Or that attacker came from that ISP. Let's lock that whole ISP out. We have a lot of interesting capabilities where we don't know if we can do that in those other tools. >> So what's your headache of the future? It sounds like Splunk has done a lot to get you up to speed and get you to a very high comfort level now, looking down the road here, what's the next? >> Quickly start and then I think Ikenna wants to speak to this as well, one of the things that we need to do is we're getting better at detecting and responding. We've really focused a lot on prevention to make sure we can prevent what we can. But it's impossible to basically prevent everything, everybody knows that. You see it in the news. So we're trying to get better at detection and response. One of the shortcomings that we've noticed is that we can't always respond as humans fast enough. So we're trying to automate that, get richer information which Splunk allows us to do, so we call them like high fidelity alerts or high confidence alerts. So if we see that, that should never happen in our environment we'll shut that workstation down, disable that account, or cut off that subnet or something like that so it will all be automated. And then us as a team, will come back after the fact and look at it and go oh, yeah that was good. Or oops we made a mistake, sorry about that. And we'll bring the machine back online. >> Yeah, apologize after. >> After, because they move so quickly, or at least what we're seeing, adversaries move fast. >> How about, you want to add to that? >> I think they key, the way we look at our security program is just being on a journey, because the threat landscape changes like by minutes or days really. There's never a point where we'll say we are done. We are fully okay from a security standpoint, so we constantly look at where we need to evolve. A lot of our techs now are looking at cloud services so we are trying to see how we can show cloud services that we use, pool their log information where we can. And I try to actually enhance what we are currently doing. There's really no silver bullet to solving the issue of security so it's really constantly looking at where we can derive efficiencies to help our program. >> I wanted to ask you about pricing. Are you a Splunk cloud customer? You pay a subscription, you have a perpetual license? >> We did the subscription to term. We're evaluating potentially moving to the cloud. It would be near the end of 2018. We're not sure how we're going to go, maybe we'll just put it in say one of the like AWS or Azure instead of maybe going to the cloud offered because personally we like tweaking and doing a couple things under the hood, so there's a little more change control in cloud. At least at the moment, maybe that will change over time. But we like to be able to quickly onboard data, do all this as fast as we can when we need to. >> And you priced, Splunk charged you by the amount of data? >> You pay by the amount of data. >> Okay, so my follow up is, as the amount of data exponentially, as that data curve growth curve kind of grows, reshapes if you will, are you concerned about just the whole pricing model? Does it have to? >> I'll take that one. So the interesting thing about Splunk it's actually disruptive or disruptor or, it can displace technologies within your environment. So we really try to consolidate things down and take out things that aren't needed. So in certain scenarios, we do a lot of vulnerability scanning and all that, we don't necessarily go buy the top top end product and spend a lot of money on that, we might buy something else or even use open source in the future, who knows. Get the information into Splunk and then use Splunk to do all the analysis. So we're paying like one or two percent of what a typical cost would be and that license itself would pay for Splunk. >> So you're getting asset leverage there. >> Yeah. >> It pays for the data growth. >> As well, we're finding other benefits in the environment using predictive analysis for example, we Splunked all of our storage, and I gave that to my boss and I go here ya go, what do ya think? And you can predict it out a quarter, half a year or a year and he was just ready to buy basically a million dollars of hardware and said geez, I don't need to do that. That's pretty cool. >> So you're using Splunk as a capacity planning tool. >> As well, yeah. We use it for many purposes. >> Very interesting. >> That sounds like a good year end bonus to me there, Kent. (laughter) Gentlemen you both came down from Canada, is that right? >> Yes, we did. >> So my apologies for the unseasonably warm weather here, but we have the lights on which is something you're very familiar with, right at TransAlta. Thanks for the time, interesting conversation glad you both could be here with us today. >> Thanks for having us. >> Alright continuing more our coverage here on The Cube for .conf2017, we'll be live here in Washington D.C. Take a little break, back at 1:30 Eastern time, see you then.
SUMMARY :
Brought to you by Splunk. at TransAlta Kent good morning to you sir. Tell us a little bit about what core function, what you out of Calgary and then we also have off shored or distribution of power. Right, so talk about the complexities of that in general responsibility for the team, and we have regulatory You got to wake up every day knowing that. So in the mid-2000s, we did security and everything the information that we wanted or needed to properly detect, So the SIEM fell short, you said because it didn't It was difficult to use, so we actually went on training I think to Kent's point, part of the challenge we had with So the same amount of data that you bring in say And on the fly we can easily build up a use case the data that you need. at that exact time and we can correlate that with IP just the sort of attitude you touched on this before, Kent But also the business getting back to IT security Yeah, I'm sensing that prior to Splunk it was an I think prior to Splunk really we had certain sets of the query, but we have all the information, we have So if we see that, that should never happen in our After, because they move so quickly, or at least what that we use, pool their log information where we can. I wanted to ask you about pricing. going to the cloud offered because personally we like So in certain scenarios, we do a lot of vulnerability all of our storage, and I gave that to my boss and We use it for many purposes. Gentlemen you both came down from Canada, is that right? but we have the lights on which is something you're see you then.
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Shlomi Ben Haim, JFrog | CUBE Conversation Sept 2017
(string music) >> Welcome to the Cube conversation here at the Cube studios in Palo Alto California, I'm John Furrier, cohost of the Cube and cofounder of Slip and Angle Media. We're here with Shlomi Ben Haim who's the founder and CEO of Jfrog, hot startup. I asked him to come in to chat about his business. In the dev/op space, we see him at a lot of shows, your company's doing well, we love the marketing, the frog thing is great, love it, very cool. But there's a lot of real serious action going on in the enterprise and in the cloud and in emerging tech, whether it's AI or machine learning, whether its innovative things, developers are front and center in the marketplace and there's a boatload of noise out there, there's like this approach, this approach, there's a lot of different approaches, but at the end of the day, the devs are driving a lot of innovation. You guys are at the center of it so welcome to the Cube. >> Thank you. >> First question for you, just take a minute to talk about what you guys do, Jfrog, what's your company, what's your business, what are you guys up to, what's your deal? >> The way I think that the community will describe us would be that we are the binaries people, we are taking care of your binaries. As you know in the dev/ops world, everything you do you do with your binaries, with your software artifacts, so I heard some of the community members call us the database of dev/ops and we are the providers of artifactory, bintray, xray and mission control which take care of your binaries, managing them, host them, distribute them and secure them. >> Open source event we were at, we saw you guys because I was doing all the interviews and you guys were right on the edge there, then you guys got some nice background images off the Cube videos, but it was really interesting. The trend is your friend as the saying goes and the number of open source projects is increasing, the actual lines of code is exponentially going to grow from 22 million to 200, 400 million lines of code over the next couple of years, that's hockey stick. More developers are coming in, not old school like me that built their own stuff from scratch, there's a lot of lego blocks in fact Jim Samlin said that 10% of the code will probably be original ideas and differentiation, 90% of most of the code will be a code sandwich, which I believe, I think that's the legit direction. How do you guys fit into that trend and what does that mean for your business because I can imagine, there's a ton of Git Hub stuff going on, tons of forking, tons of projects, you got block chain catching the world by storm, there is a massive developer tsunami going on. How do you guys help them? >> It's very interesting, when we started Jfrog, actually my co-founder Yoav Landman started by providing developers with a very dummy, basic solution to proxy, public repositories like Maven central and it was not about the code for the first time, it was about the binaries. Code is great and the line of code, as you said, it's going to go enormous but what happened is that when you need to automate, when you need to rebuild, when you need to release faster, you go down to the binary level, to the software artifact level and guess what, no one took care of your binaries before, you were just throwing your binaries to your version controller or file store, maybe you were hosting them. >> They were messy, it's like a kid with their room, all the stuff spread around all over the place, where's that binary, no one keeps track of it. >> Nobody care about that, but this is the one thing that you keep consuming, keep building with, keep recompiling and in the era of dev/ops, is the one asset that you need to automate and reuse. This is where we, >> The core problem if I get this right, is that compiling is going to be, if you think of dev/ops, it's infrastructure as code, as the phrase goes as we always say and programming infrastructure is what dev guys want to do, they don't want to be in the business of switching configurations, getting in the routers and the network. They want it to be just one layer of resource, serverless is a great trend for you, more and more developers are going to love this. They want to program, so when you're programming, the inherent next step is where's the code, who's compiling it, does it need to be compiled? Is that the core problem, that there's more and more stuff going on under the hood that needs to be managed? Is that growing part of your business solution or is the problem just lost binaries, what's the core problem? >> It's a perfect question. First of all, we are providers, we are the providers of the only universal solution. Binaries are not just for java developers, they are not just for python developers, they are not just for dot net developers, they are not just for docker users and the way you package it, binaries happens between your get and your CI server, let's say Jenkins, get and Jenkins and your Kubernetes. Something happens between those two sites. Your orchestration tool and your code repository tool. In this land is where binaries play a very significant role and this is where we are a major player. >> Is the problem error prone in that zone, in that zone it's like the wild west, it's like a black hole if you will, think about what you're saying, if I get it right. There's a lot of stuff that goes on in there, is it mismanagement, what's the core thing that you guys got to do there? >> Tons of binaries, too much public repositories that the community cannot rely on. You need to manage and host your own binaries, the ones that you create yourself, and to provide and this is the last strength we see in the market, big organization need to provide dev/ops as a service to their own developers, so they need to ask this very important asset that we call software artifact and binaries or darker images or whatever you want to call it. >> Yeah a lot of great trends going on, obviously containers and Kubernetes you mentioned. Let's get into those, that's driving a lot of change. Certainly containers has been around for a while, whether you call it wrappers or whatever, it's a great magical thing, we love containers, Kubernetes really gets the trend right, if you look at the google trend, you see Kubernetes has got so much more traction than containers, although I'm not saying one's more relevant than the other, certainly orchestration's important, linking and loading all these containers together. Why is Kubernetes accelerating the binary conversation? Is it because more rapid development is going on, more programmability's going on, why is Kubernetes impacting the binaries components more now than ever? >> Putting aside the need for automating and integrating, this whole orchestration solution requires some work on the binary level but if you think about what Kubernetes is trying to solve, or what the containers are all trying to solve is a better, faster release, better, faster deployment, better, faster delivery and then you can do it only if you will combine the power of the developers and the power of the machine and release faster. This is what we say in Jfrog, release fast or die because it's all about how fast can you release? >> Before we get into some of the product specific stuff, I want to ask you some pointed questions on that. I want to ask you about automation. AI is obviously hot, I love AI, even though it's hyped up, it still promotes great software development, machine learning really is where the meat on the bone is there, so machine learning and automation bots, whatever you want to look at it, is an opportunity to actually to create adaptive code. How did that new software paradigm affect binaries because I can almost imagine that if you got a bot going wild, it could screw up the binaries. >> Completely. >> So can you comment on that, that area. Obviously we want more bots, automation is a good thing on one level, but how do you guys look at that market as an opportunity, as a challenge, what's that whole AI thing look like? >> Well if we take a step back, I think the dev/ops started with the need to automate and release faster. It was like the playground of developers, we need a better integration, we need a continuous integration, we need better delivery, we need continuous delivery. If you think about it now, in 20/20 perspective, you understand that this was all milestones. The next big challenge is continuous updates. People like me, people like you, just want their devices and machines to be updated. >> And secure, look at Equifax. Equifax is a great example, they didn't update the code. >> Absolutely and it's flowing and just happening and secure and in the world of automation, the world of AI, I think that the big challenge or the next big challenge of dev/ops is how can I create a continuous update machine which is also secure and software update will just flow. It will not be something that you press I agree, I reboot and do any kind of crazy stuff in order just to get your software update. It's more about the user experience of all of us. It's not just developers and dev/ops companies anymore. >> That's a great vision by the way, I love that. It should work like that and programmable infrastructure for dev/ops should be programmable and always available and highly reliable. Mark Zuckerberg used to have the saying, move fast, break stuff, that's not a dev/ops ethos by the way, they built their own dev/ops, but then he kind of quickly waffled back to move fast, be reliable, because he got some religion on ops. Totally get that, let's go into today's world. That gives us a little future view, what is a use case for a customer? Take me through the day and the life of a customer that's using Jfrog, what are their problems, what are some of the things that are burning in their office? Where's the smoke, what's the problem that they have that they need to take care of the binaries? Sprawl of code, just mismanagement, what are some of the signals? Share with your view there. >> It starts with the fact that it's not your developer anymore that builds software. You have a CI server there that never goes to a lunch break, never take a break with Facebook, which by the way, it's a great company but sometimes it stop giving the time during the work time and you keep building and building like crazy. Your CI server keep producing binaries. >> It's an always on code machine basically. >> It's a binaries machine and it's being built 24 by seven and yes, you use just a portion of it but you have to host and manage all of it and if you will host it in your version controller, it will explode, if you will put it in a file store, it will not be something, >> Explode because of capacity? >> Because you cannot do any cleanups on the version controller, not get or subversion or the false or any of them, you don't do cleanups on version control. >> Hygiene is an issue. >> Yes, plus integration. You need to integrate with your records system, plus promotion, you need to allow and automate promotion of the specific bites that you build. >> So that's why people call you the database or I would even say the brains of binaries, you got to keep track of the goods if you will, it's like the crown jewel is the binary. >> Right. >> If I get that right, okay let's take it to the next level. You have good hygiene, you have good stuff going on, what are you guys doing specifically that gives you a differentiation of the market because is it software, is it hardware, what is the Jfrog differentiation? >> I think that the first thing that happened to us was that we realized that binaries is for everyone. If you remember Jfrog's slogans from 2010, it was binaries for the people. We felt like we are leading the revolution of taking care of your binaries and therefore, we decided that whatever we build, our philosophy base, our concept will be universal. We started with the Java community, Maven and Gradel and then the dot net community with Nougat and then when it came to be more like a dev/ops industry in 2013 or '14 was it, >> Roughly, 2008 to 2014 was really the cloud errati and then it grew and then it matured a little bit. >> And the combination of dev and ops and IT and then we started to support packages like Debian and RPM, beyond repositories, docker registry, we were the first docker registry in the market. >> You were riding the wave from the beginning. >> Yes. >> You were right there riding the binary wave with the native cloud growth, public cloud growth big time which by the way had a lot of iterations quickly. >> Which is also one of our differentiators, we are the only hybrid providers for your binary solution. We have it in the cloud, any cloud or on prem. >> Who's the competition? >> It's a very good question, on a niche level, we have companies like docker that provide a docker registry we have Cores that provide docker registry, by the way, anyone in the market now that want to have a docker registry, a container registry. On the Java Maven domains, Sonotype provide a nexus which is a binary repository manager for Java for Maven builds. NPM provide a solution for NPM but if you think about the universal solution that supports other, >> Those are siloed platform specific binaries. >> Yes. >> You're taking much more of a wholistic, horizontally scalable, any binary any time management. >> Exactly, we don't do the before and after, but in the binaries world, we want to be one solution for all. >> I get the whole registry thing, love that positioning. Just a dumb question, when someone's coming in and managing intermittently in the registry, how do you guys handle that piece? How do you know that a Java request coming in from a Java registry, you guys have a front end to this thing, is it your software, how do you guys manage the integration of requests to and from the binaries. >> The read and write to the repository you mean? >> Yes. >> Artifactor is a very sophisticated repository if I may say it's built more like a database, it's based on a check sum mechanism and not just a basic file store. >> You verify it coming in on the front end. >> Right, the parts and machine caching, managing, hosting and distributing, it's all happening in artifactor. >> And performance is as good? No problems with performance? >> Well we are the only provider that has a highly available solution with over 4000 customers, so I guess it is. >> You got a smile yeah, I see you at the shows. You got a good reputation so it's great to have you come in. I want to just take a minute to pause because I know we're having a great conversation, I could talk about CI servers til the cows come home, one of my favorite topics dev/ops, as people who have been following me since 2008 know, I love the cloud, cloud native vision from day one. There's a lot of people out there who don't know what the hell a binary is, so take a minute and explain, what is a binary and why is it such an important thing right now in context to open source growth, more developers coming in, context to enterprises trying to be cloud like and just for the general purpose, why are binaries important? Why should the general public, how would you talk about what is a binary? >> I'll try. I think that the main difference is that binaries are more like, maybe it's a basic metaphor, but binaries are more like fresh food, unlike freeze food. Your source code is freezed, you're not allowed to touch it, you're not allowed to clean it, you're not allowed to change it. Your one dot seal would be my one dot seal. It's kind of freeze food, this is why in dev for get and other player in this market are so important. We see how bit bucket with the class in and Git Hub are growing and still playing a significant role binaries are different, binaries is the fresh food. Something that you keep changing, any minute and you build with a specific binary something and then something else and it become another binary if I may say so. I think that the flexibility that you need to gain when you go on full automation and full integration is the flexibility that you can get on the binary level. You cannot get it on the code level. Therefore, binaries playing a very significant role in the cloud era and in the dev/ops era. >> Sure it allows for extensibility of source code. In a way what you're saying. You can eat the frozen food or you can chop up your own organic meal yourself. >> Exactly. >> Okay I get that, final question for you, thanks for coming in, appreciate the one on one on binaries there. People can always just go on Wikipedia and look at other definitions on stack overflow and whatnot. What is the customer value proposition for Jfrog? Why should I work with you, what's the main reason for you to have 4000 customers? What's driving them to use you? Is it just convenience? Is it scalability, all of the above? Just take a minute to explain why customers go to you and if people don't work with you, why should they work with you? >> I think that the biggest challenge today is that you want to treat binaries as first level citizens and instead of having an NPM repository, docker registry, Maven repository, python repository and there is no single organization that will have just one repository, you can have it all with Jfrog. The second thing we are the providers of highly available solution to protect your data centers so if you don't want your 1000 developers sitting down, waiting for the binary repository to be up and running and to allow the environment, then you probably want to, >> Productivity right there is one. >> Productivity and efficiency, absolutely. We are also providing it to secure your binary flow and the platform that distributes your binaries. We take binaries very seriously, over two billion downloads a month on bintray, our distribution hub and we work with the community and for the community, we are developers ourself, coming from the open source community so it's all bottom up and community friendly. >> Shlomi, great commentary, I want to just get a personal, take your Jfrog hat off for a minute, put your developer, executive, industry expert hat on. Share with the audience your view on the developer market. There's been a lot of negative press around the brogrammer lately and all these things, but trends are clear that you have massive growth in open source, comment on the role open source plays as it goes into some argue fifth generation, fourth, fifth generation, I remember when the first generation I was coding on. Those were the days but different, it's changed. You have so much code, it's really a party right now in open source, there's so much good stuff happening. Google's donating tensorflow, all these people putting real big libraries out there to code on. Kubernetes is just so awesome, system guys specifically love what's going on in the cloud. But cloud is exploding a lot of opportunities, IoT and AI, what's the developer market like right now, just share your thoughts, what's the sentiment, what's the excitement, what are the young kids doing? What are some of the big things that you see happening? >> From business perspective, what we see in the market is developers first of all taking decisions. They hear their managers coming with the pain and expect it to solve it and the bottom up process is something we never saw in the market. The last five, six years, we see more and more developers kind of educating their managers with how to do it and how to do it faster. The second thing and this is, >> So bottom up's happening now you're saying. >> Happening for the last five years and it's growing. The second thing we see in the cloud, you see it more than I am, Google and Amazon and Microsoft and Red Hat, everyone want a piece of the cloud, Orca now just announced two days ago, three days ago. Everyone want a piece of the cloud and everybody understand that data traffic comes from developers, it's not individuals, it's communities, the open source community is giant and it's a very, there's a very important player in the data traffic of what we call the cloud highway. >> And the communities are very most important piece, you would agree with that, right? We're very community focused, that's the key, right? >> Yes, absolutely. >> I think the world will be developer indoctrinated with basically developer premises across all business, so it's not a department anymore, it's permeating all through organizations. >> Right and also impact our user experience. People like simple people that doesn't understand code, they're not contributing to the open source world still need software updates and competitive analysis are talking about that, how fast can you release? >> Well Stu Miniman and Dave Alante and Peter Burris and I always talk about community is the key in open source, you guys have been very successful in the community. Congratulations, obviously we're very community focused with our content, with the Cube. If you like the Cube, check us out at cube.net, give us a call, come in the studio if you're a thought leader, love to chat with you. I'm John Furrier with the Cube, more thought leadership coverage in Palo Alto here inside the Cube. We'll be right back, thanks for watching. (electronic music)
SUMMARY :
and center in the marketplace and there's a boatload everything you do you do with your binaries, and differentiation, 90% of most of the code but what happened is that when you need to automate, all the stuff spread around all over the place, is the one asset that you need to automate and reuse. is that compiling is going to be, if you think of dev/ops, and the way you package it, binaries happens that you guys got to do there? the ones that you create yourself, Why is Kubernetes accelerating the binary conversation? and the power of the machine and release faster. because I can almost imagine that if you got on one level, but how do you guys look at that market If you think about it now, in 20/20 perspective, Equifax is a great example, they didn't update the code. and secure and in the world of automation, Where's the smoke, what's the problem that they have and you keep building and building like crazy. Because you cannot do any cleanups on the of the specific bites that you build. it's like the crown jewel is the binary. what are you guys doing specifically that gives you If you remember Jfrog's slogans from 2010, Roughly, 2008 to 2014 was really the cloud errati And the combination of dev and ops and IT with the native cloud growth, public cloud growth big time We have it in the cloud, any cloud or on prem. but if you think about the universal solution You're taking much more of a wholistic, but in the binaries world, the integration of requests to and from the binaries. and not just a basic file store. Right, the parts and machine caching, Well we are the only provider You got a good reputation so it's great to have you come in. and full integration is the flexibility You can eat the frozen food or you can Just take a minute to explain why customers go to you and to allow the environment, then you probably want to, and for the community, we are developers ourself, What are some of the big things that you see happening? and expect it to solve it and the bottom up process The second thing we see in the cloud, you see it more I think the world will be developer indoctrinated are talking about that, how fast can you release? and I always talk about community is the key in open source,
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20170908 Wikibon Analyst Meeting Peter Burris
(upbeat music) >> Welcome to this week's edition of Wikibon Research Meeting on the Cube. This week we're going to talk about a rather important issue that raises a lot of questions about the future of the industry and that is, how are information technology organizations going to manage the wide array of new applications, new types of users, new types of business relationships that's going to engender significant complexity in the way applications are organized, architected and run. One of the possibilities is that we'll see an increased use of machine learning, ultimately inside information technology and operations management applications and while this has tremendous potential, it's not without risk and it's not going to be simple. These technologies sound great on paper but they typically engender an enormous amount of work and a lot of complexity themselves to run. Having said that, there are good reasons to suspect that this approach will in fact be crucial to ultimately helping IT achieve the productivity that it needs to support digital business needs. Now a big challenge here is that the technology, while it looks good, as I said, nonetheless is pretty immature and today's world, there's a breadth first and a depth first approach to thinking about this. Breadth first works on or worries about end to end visibility into how applications work across multiple clouds, on premise in the cloud, across applications, wherever they might be. You get an enormous amount of visibility and alerts but you also get a lot of false positives and that creates a challenge because these tools just don't have enormous visibility into how the individual components are working or how their relationships are set up, they just look at the broad spectrum of how work is being conducted. The second class is looking at depth first which is really based on the digital twin notion that's popular within the IOT world and that is vendors delivering out of the box models that are capable of doing a great job of creating a digital simulacrum of a particular resource so that it can be modeled and tracked and tested. Now again, a lot of potential, a lot of questions about how machine learning and iTom are going to come together. George, what is one of the key catalysts here? Somewhere in here there's a question about people. >> Okay there's a talent question, always with the introduction of new technology, it's people processed technology. The people end of the equation here is that we've been trying to upskill and create a new class of application developer as Jim has identified. This new class is a data scientist and they focus on data intensive applications and machine learning technology. The reason I bring up the technology is when we have this landscape that you described, that is getting so complex where we're building on business transaction applications, extending them with systems of engagement and then the operational infrastructure that supports both of them, we're getting many orders of magnitude more complexity in multiple dimensions and in data and so we need a major step function in the technology to simplify the management of that because just the way we choked on the deployment, mainstream deployment of big data technology in terms of lack of the specialized administrators, we are similarly choking on the deployment of very high value machine learning applications because it takes a while to train a new generation of data scientists. >> So George, we got a lot of challenges here in trying to train people but we're also expecting that we're going to be better trained technology with some of these new questions, so Jim let me throw it to you. When we think ultimately about this machine learning approach, what are some of the considerations that people have to worry about as they envision the challenges associated with training some of these new systems? >> Yeah I think one of the key challenges with training new systems for iTom is, do you have a reference data set? The predominant approach to machine learning is something called supervised learning where you're training it on rhythm against some data that represents what you're trying to detect or predict or classify. If for IT and operations management, you're looking for anomalies, for unprecedented events, black swan events and so forth. Clearly, if they're unprecedented, there's probably not going to be a reference data set that you can use to detect them or hopefully before they happen and neutralize them. That's an important consideration and supervised learning breaks down if you can't find a reference data example. Now there are approaches to machine learning, they're called cluster analysis or unsupervised learning, alert to something called cluster analysis algorithms which would be able to look for clusters in the data that might be indicative of correlations that might be useful to drill into, might be indicative of anomalous events and so forth. What I'm getting as it that when you're then considering ML, machine learning in the broader perspective of IT and operations management, do you go supervised learning, do you go with unsupervised learning for the anopolis, do you, if you want to remediate it, that you have a clear set of steps to follow from precedent, you might also want something called reinforcement learning. What I'm getting at is that all the aspects of training the models to acquire the knowledge necessary to manage the IT operations. >> Jim, let me interrupt, what we've got here is a lot of new complexity and we've got a need for more people and we've got a need for additional understanding of how we're going to train these systems but this is going to become an increasingly challenging problem. David Floyer, you've done some really interesting research on with the entire team that we call unigrid. Unigrid is looking at the likely future of systems as we're capable of putting more data proximate to other data and use that as a basis for dramatically improving our ability to, in a speedy, nearly real-time way, drive automation between many of these new application forms. It seems as though depth first, or what we're calling depth first, is going to be an essential element of how unigrid's going to deploy. Take us through that scenario and what do you think about how these are going to come together? >> Yes, I agree. The biggest, in our opinion, the biggest return on investment is going to come from being able to take the big data models, the complex models and make those simple enough that they can, in real time, help the acceleration, the automation of business processes. That seems to be the biggest return on this and unigrid is allowing a huge amount more data to be available in near real-time, 100 to 1000 times more data and that gives us an opportunity for business analytics which includes of course AI and machine learning and basic models, etc. to be used to take that data and apply it to the particular business problem, whether it be fraud control, whether it be any other business processing. The point I'm making here is that coding techniques are going to be very, very stretched. Coding techniques for an edge application in the enterprise itself and also of course coding techniques for pushing down stuff to the IOT and to the other agents. Those coding techniques are going to focus on performance first to begin with. At the same time, a lot of that coding will come from ISVs into existing applications and with it, the ISVs have the problem of ensuring that this type of system can be managed. >> So George, I'm going to throw it back to you at this point in time because based on what Dave has just said, that there's new technology on the horizon that has the potential to drive the business need for this type of technology, we'll get to that in a little bit more detail in a second, but is it possible that at least the depth first side of these ML and IT and iTom applications could become the first successful packaged apps that use machine learning in a featured way? >> That's my belief, and the reason is that even though there's going to be great business value in linking, say big data apps and systems of record and web mobile apps, say for fraud prevention or detection applications where you really want low latency integration, most of the big data applications today are more high latency integration where you're doing training and inferencing more in batch mode and connecting them with high latency with the systems of record or web and mobile apps. When you have that looser connection, high latency connection, it's possible to focus just on the domain, the depth first. Because it's depth first, the models have much more knowledge built in about the topology and operation of that single domain and that knowledge is what allows them to have very precise and very low latency remediation either recommendations or automated actions. >> But the challenge with just looking at it from a depth first standpoint is that as the infrastructure, as the relationships amongst technologies and toolings inside an infrastructure application portfolio is that information is not revealed and becomes more crucial overall to the operation of the system. Now we got to look a little bit at this notion of breadth first, the idea of tooling support end to end. That's a little bit more problematic, there's a lot of tools that are trying to do that today, a lot of services trying to do that today, but one of the things that's clearly missing is an overall good understanding of the dependency that these two tools have on machine learning. Jim, what can you tell us about how overall some of these breadth first products seem to be dependent or not on some of these technologies. >> Yeah, first of all breadth first products, what's neat is above, basically an overall layer is graph analysis, graph modeling to be able to follow a hundred interactions of transactions and business flows across your distributed IT infrastructure, to be able to build that entire narrative of what's causing a problem or might be causing a problem. That's critically important but as you're looking at depth first and you just go back and forth between depth first, like digital twin as a fundamental concept and a fundamentally important infrastructure for depth first, because the digital twin infrastructure maintains the data that can be used for training data for supervised machine learning looking into issues from individual entities. If you can combine overall graph modeling at the breadth first level for iTom with the supervised learning based on digital twin for depth first, that makes for a powerful combination. I'm talking in a speculative way, George has been doing the research, but I'm seeing a lot of uptake of graph modeling technology in the sphere, now maybe George could tell us otherwise, but I think that's what needs to happen. >> I think conceptually, the technology is capable of providing this George, I think that it's going to take some time however, to see it fully exploited. What do you got to say about that? >> I do want to address Jim, your comments about training which is the graph that you're referring to is precisely the word when I use topology figuring that more people will understand that and it's in the depth first product that the models have been pre-trained, supervised and trained by the vendor so they come baked in to know how to figure out the customer's topology and build what you call the graph. Technically, that's the more correct way of describing it and that those models, pre-trained and supervised have enough knowledge also to figure out the behavior which I call the operations of those applications, it's when you get into the breadth first that it's harder because you have no bounds to make assumptions about, it's harder to figure out that topology and operational behavior. >> But coming back to the question I asked, the fact that it's not available today, as depth first products accrete capabilities and demonstrate success, and let's presume that they are because there is evidence that they are, that will increase the likelihood that they are generating data that can then be used by breadth first products. But that raises an interesting question. It's a question that certainly I've thought about as well, is that is, Nick, ultimately where is the clearing house for ascertaining the claims these technologies will not and work together, have you seen examples in the past of standards, at this level of complexity coming together that can ensure that claims in fact, or that these technologies can in fact increasingly work together. Have we've seen other places where this has happened? >> Good question. My answer is that I don't know. >> Well but there have been standards bodies for example that did some extremely complex stuff in IO. Where we saw an explosion in the number of storage and printer and other devices and we saw separation of function between CPUs and channels where standards around SCUZI and what not, in fact were relatively successful, but I don't know that they're going to be as, but there is specific engineering tests at the electricity and physics level and it's going to be interesting to see whether those types of tests emerge here in the software world. All right, I want to segue from this directly into business impacts because ultimately there's a major question for every user that's listening to this and that is this is new technology, we know the business is going to demand it in a lot of ways. The machine learning in business activities, as David Floyer talked about, business processes, but the big question is how is this going to end up in the IT organization? In fact is it going to turn into a crucial research that makes IT more or less successful? Neil Raden, we've got examples of this happening again in the past, where significant technology discontinuities just hit both the business and IT at the same time. What happened? >> Well, in a lot of cases it was a disaster. In many more cases, it was a financial disaster. We had companies spending hundreds of billions of dollars implementing an ERP system and at the end, they still didn't have what they wanted. Look, people not just in IT, not just in business, not just in technology, consistently take complex problems and try to reduce them to something simple so they can understand them. Nowhere is that more common than in medical research where they point at a surrogate endpoint and they try to prove the surrogate endpoint but they end up proving nothing about the disease they're trying to cure. I think that this problem now, it's gone beyond an inventory of applications and organizations, far too complex for people to really grasp all at once. Rather than come up with a simplified solution, I think we can be looking to software vendors to be coming up with packages to do this. But it's not going to be a black box. It's going to require a great deal of configuration and tuning within each company because everyone's a little different. That's what I think is going to happen and the other thing is, I think we're going to have AI on AI. You're going to have a data scientist work bench where the work bench recommends which models to try, runs the replicates, crunches the numbers, generates the reports, keeps track of what's happening, goes back to see what's happened because five years ago, data scientists were basically doing everything in R and Java and Python and there's a mountain of terrible code out there that's unmaintainable because they're not professional programmers, so we have to fix that. >> George? >> Neil, I would agree with you for the breadth first products where the customer has to do a lot of the training on the job with their product. But in the depth first products, they actually build in such richly trained models that there really is, even in the case of some of the examples that we've researched, they don't even have facilities for customers to add say the complex event processing for analytics for new rules. In other words, they're trained to look at the configuration settings, the environment variables, the setup across services, the topology. In other words it's like Steve Jobs says, it just works on a predefined depth first domain like a big data stack. >> So we're likely to see this happen in the depth first and then ultimately see what happens in the breadth first but at the end of the day, it still has to continue to attract capital to make these technologies work, make them evolve and make the business cases possible. David, again you have spent a lot of time looking at this notion of business case and we can see that there's a key value to using machine learning in say fraud detection, but putting shoes on the cobbler's children of IT has been a problem for years. What do you think? Are we going to see IT get the resources it needs starting with depth first but so that it can build out a breadth oriented solution? >> My view is that for what it's worth, is we're going to focus or IT is going to focus on getting in applications which use these technologies and they will go into the places for that business where it makes most sense. If you're an insurance company, you can make hundreds of millions of dollars with fraud detection. If you are in other businesses, you want to focus on security or potential security. The applications that go in with huge amounts more data and more complexity within them, initially in my view will be managed as specific applications and the requirements of AI requirements to manage them will be focused on those particular applications, often by the ISVs themselves. Then from that, they'll be learning about how to do it and from that will come broader type of solutions. >> That's further evidence that we're going to see a fair amount of initial successes more in the depth first side, application specific management. But there's going to be a lot of efforts over the next few years for breadth first companies to grow because there's potentially significant increasing returns from being the first vendor out there that can build the ecosystem that ties all of these depth first products together. Neil, I want to leave you with a last thought here. You mentioned it earlier and you've done a lot of work on this over the years, you assert that at the end of the day, a lot of these new technologies, similar to what David just said, are going to come in through applications by application providers themselves. Just give us a quick sense of what that scenario's going to look like. >> I think that the technology sector runs on two different concepts. One is I have a great idea, maybe I could sell it. Did you hear that, I just got a message my connection was down there. Technology vendors will say that I have a, >> All right we're actually losing you, so Dave Alante, let me give you the last word. When you think about some of the organizational implications of doing this, what do we see as some of the biggest near term issues that IT's going to have to focus on to move from being purely reactive to actually getting out in front and perhaps even helping to lead the business to adopt these technologies. >> Well I think it's worth instructive to review the problem that's out there and the business impact that it'll have an what many of the vendors have proposed through software, but I think there are also some practical things that IT organizations can do before they start throwing technology at the problem. We all know that IT has been reactive generally to operations issues and it's affected a laundry list of things in the business, not only productivity, availability of critical systems, data quality, application performance and on and on. But the bottom line is it increases business risk and cost and so when the organizations that I talk to, they obviously want to be proactive. Vendors are promising that they have tools to allow them to be more proactive, but they really want to reduce the false positives. They don't want to chase down trivial events and of course cloud complicates all this. What the vendor community has done is it's promised end to end visibility on infrastructure platforms including clouds and the ability to discover and manage events and identify anomalies in a proactive manner. Maybe even automate remediation steps, all important things, I would suggest that these need to map to critical business processes and organizations need to have an understanding or they're not going to understand the business impact and it's got to extend to cloud. Now, is AI and ML the answer, maybe, but before going there, I would suggest that organizations look at three things that they can do. The first is, the fact is that most outages on infrastructure come from failed or poorly applied changes, so start with good change management and you'll attack probably 70% of the problem in our estimation. The second thing that we, I think would point to users, is that they should narrow down their promises and get their SLA's firmed up so they can meet them and exceed them and build up credibility with an organization before taking on wider responsibilities and increasing project skills and I think the third thing is start acting like a cloud provider. You got to be clear about the services that you offer, you want to communicate the SLA's, you know clearly they're associated with those services and charge for them appropriately so that you can fund your business. Do these three things before you start throwing technology at the problem. >> That's a great wrap. The one thing I'd add to that Dave, before we actually get to the wrap itself is that I find it intriguing that the processes of thinking through the skills we need and the training that we're going to have to do of people and increasing the training, whether it's supervised, unsupervised, reinforced, of some of these systems, will help us think through exactly the type of prescriptions that you just put forward. All right, let's wrap. This has been a great research meeting. This week, we talked about the emergence of machine learning technologies inside IT operations management solutions. The observation we make is that increasingly, businesses becoming dependent on multicloud including a lot of SAS technologies and application forms and using that as a basis for extending their regional markets and providing increasingly specialized services to customers. This is putting an enormous pressure on the relationship between brand, customer experience and technology management. As customers demand to be treated more uniquely, the technology has to respond, but as we increase the specificity of technology, it increases the complexity associated with actually managing that technology. We believe that there will be an opportunity for IT organizations to utilize machine learning and related AI type and big data technologies inside their iTom capabilities but that the journey to get there is not going to be simple. It's not going to be easy and it's going to require an enormous amount of change. The first thing we observe is that there is this idea of what we call breadth first technology or breadth first machine learning in iTom, which is really looking end to end. The problem is, without concrete deep models, we look at individual resources or resource pools, end up with a lot of false positives and you lose a lot of the opportunity to talk about how different component trees working together. Depth first, which is probably the first place that machine learning's going to show up in a lot of these iTom technologies, provides an out of the box digital twin from the vendor that typically involves or utilizes a lot of testing on whether or not that twin in fact is representative and is an accurate simulacrum of the resource that's under management. Our expectation is that we will see a greater utilization of depth first tooling inactivity, even as users continue to experiment with breadth first options. As we look on the technology horizon, there will be another forcing function here and that is the emergence of what we call unigrid. The idea that increasingly you can envision systems that bring storage, network and computing under a single management framework at enormous scale, putting data very close to other data so that we can run dramatically new forms of automation within a business, and that is absolutely going to require a combination of depth first as well as breadth first technology to evolve. A lot of need, lot of change on how the IT organization works, a lot of understanding of how this training's going to work. The last point we'll make here is that this is not something that's going to work if IT pursues this in isolation. This is not your old IT where we advocated for some new technology, bought it in, played for it, create a solution and look around for the problem to work with. In fact, the way that this is likely to happen and it further reinforces the depth first approach of being successful here is we'll likely see the business demand certain classes of applications that can in fact be made more functional, faster, more reliable, more integratable through some of these machine learning like technologies to provide a superior business outcome. That will require significant depth first capabilities in how we use machine learning to manage those applications. Speed them up, make them more complex, make them more integrated. We're going to need a lot of help to ensure that we're capable of improving the productivity of IT organizations and related partnerships that actually sustain a business's digital business capabilities. What's the bottom line? What's the action item? The action item here is user organizations need to start exploring these new technologies, but do so in a way that has proximate near term implications for how the organization works. For example, remember that most outages are in fact created not by technology but by human error. Button up how you think about utilizing some of these technologies to better capture and report and alert folks, alert the remainder of the organization to human error. The second thing to note very importantly, is that the promises of technology are not to be depended upon as we work with business to establish SLA's. Get your SLA's in place so the business can in fact have visibility to some of the changes that you're making through superior SLA's because that will help you with the overall business case. Now very importantly, cloud suppliers are succeeding as new business entities because they're doing a phenomenal job of introducing this and related technologies into their operations. The cloud business is not just a new procurement model. It's a new operating model and start to think about how your overall operating plans and practices and commitments are or are not ready to fully incorporate a lot of these new technologies. Be more of a cloud supplier yourselves. All right, that closes this week's Friday research meeting from Wikibon on the Cube. We're going to be here next week, talk to you soon. (upbeat music)
SUMMARY :
and a lot of complexity themselves to run. in the technology to simplify the management of that so Jim let me throw it to you. What I'm getting at is that all the aspects is going to be an essential element and basic models, etc. to be used to take that data low latency integration, most of the big data applications from a depth first standpoint is that as the infrastructure, is graph analysis, graph modeling to be able to follow going to take some time however, to see it fully exploited. that the models have been pre-trained, supervised and demonstrate success, and let's presume that they are My answer is that I don't know. but I don't know that they're going to be as, and at the end, they still didn't have what they wanted. a lot of the training on the job with their product. but at the end of the day, it still has to continue of AI requirements to manage them will be focused that scenario's going to look like. Did you hear that, I just got a message near term issues that IT's going to have to focus on and the ability to discover and manage events but that the journey to get there is not going to be simple.
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Vish Muichand, HPE & Eric Burgener, IDC | VMworld 2017
>> Narrator: Live from Las Vegas. It's the Cube. Covering VMWorld 2017, brought to you by VMWare and it's ecosystem partners. >> Okay welcome back everyone live here at VMWorld 2017 behind us we got the stage here set on the VMVillage, a lot of people hanging out, I'm John Furrier with Dave Alante our next guest is Vish Muichand who's the Senior Director of Product Manager HPE, Cube alumni Eric Burgener, Research Director at IDC. Guys welcome to the Cube. >> Thanks very much John. >> Vish, lot of storage action going on VMWare, you see Vsan, the cloud's here, true private cloud report from Wikibonds off the charts, showing a huge growth on prem, cloud operations, storage is impacted. What's the dots that we're connecting here this week? What's the storage story this week? >> So clearly there's a lot of different things happening in the marketplace right, different modes of operation and that in itself is demanding different approaches to infrastructure. So I think what you are seeing in the industry a variety of different approaches in storage, right? Whether it's external storage, whether it's software-defined storage, whether it's hyperconversions, or that's all flash storage. All of these things are coming together and trying to respond to the needs of data and how you want to process that data. >> We've been talking with, we talk to you guys a lot on the Cube, HP Discover, and we always say software's eating the world, we just heard Sanjay Punin from VMWare talking about it, he likes to drop that soundbyte. We take it one step further. He's a Harvard MBA, we got the bapsen mojo here. We say if software's eating the world, then data's eating software. So you guys have had a software core competence and you mentioned data. What is the impact and compromise, more and more data comes in from the edge, this primary, this secondary storage, this backup this data protection, it seems to be like this melting pot of changing architectures. How are you guys handling that at HP? >> Filling software is a very key element because it provides you with those capabilities, right? To really deal with the logical instantiation of assets and in this very virtualized world, this very dynamic world right now, gone are the days where you can do hardware type desegregation. Software gives you that speed, that agility, it gives you that flexibility. Gives you the changeability to move quickly. >> Eric you're at IDC you guys, this is your job. You guys track the market share, you guys have the pulse it's like keeping track of the baseball game. What inning, how are the Red Sox doing? Are they in first place are the Yankees catching up? What is the current state of the server virtualization because you know certainly the game's changing a little bit the world's going to cloud. What are you guys seeing in your research? >> Well so obviously most mainstream computing is running on virtualization, whether that's in the cloud or that's on prem. There's very little physical infrastructure left. There is still some of that but clearly that is not the future, virtualization is the future. >> So I wonder if I may, so you're saying virtualization is the future, so I wonder if we can unpack that a little bit because the theme here is cloud and everything is cloud related. Is your feeling, Eric, that that's sort of over your skis marketing, getting ahead of where the customer really is, I wonder if you could sort of elaborate. >> I think what the customers are really looking for is an easier way to do their jobs for less cost. And cloud provides that flexibility that you don't necessarily get if you're managing your own on-premise infrastructure, that's not 100% true based on some scale issues, but by and large, I think that's really what cloud brings to the table is a different payment model, and a flexibility that you wouldn't necessarily have with on prem infrastructure. >> So what are you guys seeing, do you feel as though the on-prem infrastructure leaders like HP, there are others obviously, are going to be able to bring that cloud-like simplicity to what do you call private cloud or whatever on-prem, is that happening, how fast is it happening, is it viable? >> Yeah so I absolutely think that's happening, in fact that's one of the reasons why software-defined storage is growing so fast is those type of products give you the kind of agility that you would normally get from a cloud environment and if you're running that on prem and you've implemented the right infrastructure around it then you're getting many of those same kind of benefits. Now you're paying for that hardware and software in a different manner than you do for the cloud, but you're getting many of those IT agility benefits that you might otherwise get from the cloud. >> And Dave, you know HP's tagline is Making Hybrid IT Simple right and so our point of view is that there is both on premise and off premise, just depending on what the usage models are and what the problems you're trying to solve, right. And bringing that simplicity where you may be going from a 100% on premise to maybe 20% off, but we've also seen some people at 50% off premise trying to come back a little bit on premise, right? So both directions I think are very very key. >> Is your point of view and I want Eric if you could chime in as well, from HPE's perspective, is hybrid IT sort of horses for courses in other words, workloads on prem versus workloads off prem, or is it beyond that some kind of federation model? >> So we see three key use cases. The first is of course wholesale, applications running on the cloud. Office 365, the perfect example of that, Sharepoint, Dropbox right, that's one. Then there is what I would call disaster recovery as a service, where you may want to have your third site in the cloud even though you got two sites on premise. Then there's also the third use case or in archiving that says how do I archive a portion of my data maybe into the cloud so it is online, but I don't have to manage it and I don't have to maybe deal with some of the associated costs around it. So these are the three sort of cases I see. >> Dave: Okay, what are you seeing in the customer base, Eric? >> Well so I completely agree that hybrid cloud is the way data centers are going to be built going forward. There are reasons to keep certain workloads on prem, generally there's performance, security or some kind of regulatory requirements that might make you put workloads on prem versus putting them in the cloud. It also depends on how often you're using the data. So Vish mentioned archive use cases. So that's a case where you need a lot of storage capacity that you keep for a long time but you may not necessarily be accessing it that much. If you're going to be accessing data a lot, that's another reason why you might consider bringing it on prem, as opposed to leaving it off prem. And of course the access, the costing access models that you get from people like Amazon and Azure are going to impact where you draw the line on that. >> So is there a difference between multi-cloud, I got a bunch of different clouds in my organization, I'm going to choose where to put stuff and cross-cloud sometimes you call it inter-clouding was, I like that term. >> Vish: You could dual source your cloud. >> And either dual source or federate or actually split application work. >> So I have seen several different aspects of that. So a customer has said to me that they need to move 20% of their data off premise, to do that they need two cloud vendors, and to get to two cloud vendors they need to see four or five of them so they can narrow it down and they they says okay, HPE all of the data that I have today is in your premise or with your equipment, how are you helping us broker that kind of arrangement. What are you doing to help federate some of that data? And work with some of these cloud vendors. So I think that's an interesting customer ask. >> Okay, well there's also cost consideration because if you multi-source or you have the opportunity to multi-source, you've got a competitive environment that's going to drive lower costs for you. As opposed to if you just got one choice. The other issue there is data mobility. If I'm locked into cloud vendor one, and it's very difficult, there's major switching costs to move, then that's another reason that might offset the potential price advantage I get from being able to go to any vendor. So there's a lot of vendors out there now, infrastructure vendors that are talking about making it easier to move data on prem to off prem, into different clouds from cloud to cloud and I think that's something that creates a more level playing field that really is going to ultimately result in lower costs. >> That's a great point about the costs, we'll just double down a quick question on that. Where are customers tripping over themselves in terms of total cost of ownership because what you're getting at here is hidden costs, right in plain sight. What are those trip fault wires if you will? What's the pitfalls what should they be looking for? >> Well, so I'll give you a general answer to that, but I think that it's very specific to workload type and the regulatory requirements that you're in but I'll tell ya one of the cases where we see repatriation, workloads moving from the cloud back into on prem is when you get to a certain level of scale. And the largest enterprises. >> John: Scale in terms of when to bring it back? >> Well just in terms of how >> or when to leave >> So how much data do I need to basically maintain in this environment and use on a regular basis. And the larger scale environments are the one where larger enterprises are able to actually bring back, create their own cloud infrastructure on prem, with their own environments and actually manage that for less cost than what they could otherwise pay a public cloud provider. >> So just to take it one step further, connect the next dot, the CXO, the CIO has to try to get some stability and there's some uncontrollable things certainly in retail it's predictable that the holiday season needs bursting or whatever so you do some things in the cloud but that's a known pattern, so you're saying that they're starting to recognize some of these scale issues for predictability they bring them on prem. Is that kind of what I'm getting? >> Well so the scale from a cost point of view, so if you're creating your own private cloud infrastructure and you're using the same kind of highly agile software to find storage designs to build that environment, you somewhat have the same ability to burst. Now yeah, you have to buy the hardware and there's redeployment issues and hopefully when we move forward towards much more composable infrastructure that becomes a lot easier problem to solve but that's you know some years in the future. But what I'm really talking about it's the cost. If I'm going to be maintaining a five petabyte data set over a ten year period, and I know what my access patterns are, is it cheaper to put that in Amazon or is it cheaper for me to build an infrastructure in house and maintain that myself. >> That's a great point. That's huge and Vish what's your reaction, is this basically validates all the action going on on the private cloud right now, on prem activity is setting up the cloud models. They can't do that unless you have the operating model. >> I'll talk about two things right, one called Cloud Bank and another one called Nimble Cloud Volumes and soon to be called HPE Cloud Volumes. So Cloud Bank allows you to take on premise data running on a three part array, and actually take a portion of that data onto either an on premise object store or an off premise object store. And we call that Cloud Bank working together with something called Recovery Managed Central and store once bringing that cloud picture together. Now the HPE cloud volumes on Nimble Cloud Volumes, it's another interesting concept where you have a cloud service that's block storage service, but it gives you the six nines SLA, it gives you the ability to do snapshots and transform data without a lot of charges that Eric talked about. It gives you the ability to move the data to different clouds because it's disagregated from the major cloud providers, it's connected via a close proximity connection so these are just two examples I think that show you how putting these used cases into action. >> Hey can we geek out a little bit here? (laughter) >> Aren't we geeking out now? You want to go deeper? >> So people want simplicity, we know that, we're talking about bringing cloud on prem. How do they get there? Well one of the ways is VVOLs, we sort of been talking about this, they haven't really taken off. Eric you've written some content around this. Like you said off camera, customers don't wake up in the morning and say I got to get me some VVOLs. But they do want simplicity. >> Absolutely, yeah. >> What are VVOLs, why do they matter, and how does it relate to simplicity. >> So yeah, let's talk a little bit about that. So what everybody no matter whether they're putting storage in the cloud, they're building on prem, they're building a private cloud, everybody wants to be able to manage their environments more easily, more intuitively, and one of the things that we've seen as a trend over the last five years is in general across the industry, storage mangement tasks are migrating away from dedicated storage admin teams, more towards IT generalists. In many cases, those are the virtual administrators. To enable that kind of a move, you need to make storage much easier to manage. So the whole idea behind VVOLs is to basically allow a non-storage person who maybe thinks about things in terms of I'd like to do this operation to an application for example, I've got Oracle running or I've got this file system here and I want to create a snapshot of it or I want to do some other task on it. To be able to just select it at the application level and perform that operation, that's very intuitive, it's easy for a non-storage person to understand and VVOLs effectively enables that kind of an ease of use management in block based environments. >> An application view of the storage? >> That's right, and I mean it's effectively it ties storage operations to a single virtual machine, and basically you're running an app on a virtual machine and so that's how you get that tie in in that way. But one other thing I'll say about VVOLs is that so it's not just what VMWare provides, there's some work that needs to be done on the storage array side to integrate with that management framework. And then how that vendor has chosen to integrate with that framework is going to determine the functionality that you have access to when you're using that VVOLs API. >> And how have you chosen to integrate with that framework? >> Yeah so Dave if you look at VVOLs, both HPE and HPE 3Par nimble have bene very very strongly focused on VVOLs in fact we've been working with VMWare gosh over the last five years now, on the reference architecture for VVOLs. Most recently we've now introduced replication support for both 3Parand nimble platforms with VVOLs and I think that capability now within VVOLs is a very important watershed capability because everybody needs resilience, disaster recovery. >> Automation's right around the corner, orchestration all big topics here at VMWorld. >> Correct and so that's a very key piece. And I think if you look at to Eric's point around simplicity, VVOLs is one key area. Two layers maybe I'd like to highlight as well. Number one is the visibility to what the application sees and within the Nimble community, they've talked about this app data gap, which is the applications not knowing why they can't get access to data and so this notion of bringing that level of understanding visibility to that gap saying is it in your computer infrastructure, is it in storage, is it in the network? So this notion of VMVision, Infosight, the Nimble (inaudible) because you're going to bring out the rest of the HPE portfolio I think is very key around simplicity. The third thing let's not forget, VMWare's built a whole ecosystem of management platforms around V-Center, V-Realize operations, all the orchestration and operation pieces and so continuing to integrate and offer customers that view is very key, right, so three prong vector I would say on making things simple. >> Also it gives HPE discovers coming up in Madrid shortly. Congratulations good to see you, Eric thanks so much for stopping by and sharing the IDC perspective. Great job, live coverage here at VMWorld 2017, I'm John Furrier, Dave Alante we'll be right back with more live coverage after this short break. >> Thank you.
SUMMARY :
Covering VMWorld 2017, brought to you by VMWare the Senior Director of Product Manager HPE, Cube alumni Vish, lot of storage action going on VMWare, you see So I think what you are seeing in the industry a So you guys have had a software core competence and Gives you the changeability to move quickly. What are you guys seeing in your research? the future, virtualization is the future. is the future, so I wonder if we can unpack that a little And cloud provides that flexibility that you don't the kind of agility that you would normally get from And bringing that simplicity where you may be going in the cloud even though you got two sites on premise. going to impact where you draw the line on that. sometimes you call it inter-clouding was, I like that term. And either dual source or federate or actually split So a customer has said to me that they need to move As opposed to if you just got one choice. What are those trip fault wires if you will? into on prem is when you get to a certain level of scale. And the larger scale environments are the one where connect the next dot, the CXO, the CIO has to try a lot easier problem to solve but that's you know They can't do that unless you have the operating model. the six nines SLA, it gives you the ability to do Well one of the ways is VVOLs, we sort of been talking it relate to simplicity. To enable that kind of a move, you need to make storage that you have access to when you're using that VVOLs API. Yeah so Dave if you look at VVOLs, both HPE and HPE Automation's right around the corner, orchestration And I think if you look at to Eric's point around for stopping by and sharing the IDC perspective.
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