Alison Biers, Dell Technologies & Keith Bradley, Nature Fresh Farms | VMware Explore 2022
(light upbeat music) >> Hey, everyone, welcome back to theCUBE's day two live coverage of VMware Explore 2022 from Moscone Center in San Francisco. Lisa Martin here as your host with Dave Nicholson. We've got a couple of guests here and we have some props on set. Get a load of this Nature Fresh Farms produce. Keith Bradley joins us, the VP of IT from Nature Fresh Farms, and Alison Biers is back, as well, director of marketing at Edge Solutions for Dell. Guys, welcome back to the program and thanks for bringin' some food. >> Well, thank you, yeah. >> Thank you so much. >> So, Keith, talk to us a little bit about technology from Nature Fresh Farm's perspective. How do we look at this farming organization as a tech company? >> As technical, we're something that measures everything we grow. So, we're 200 acres of greenhouse, spanning probably about 3 or 400 acres of land. Everything's entirely environmentally controlled. So, the peppers that we have in front of you, the tomatoes, they're all grown and controlled from everything they get from light to moisture to irrigation and nutrients. So, we do all that. >> So, should I be able to taste the Dell goodness in these cucumbers, for example? >> I'd like to say Nature Fresh slash Dell good. >> Connect the dots for us. So, let's go through that sort of mental exercise of how are these end products for consumers better because of what you're doing in IT? >> So, one of the things that we've been able to do, and one of the transformations we made is we are now able to run our ETLs. So, analyze the data realtime at the Edge. So, making decisions which used to be only once a day based on analytics to now multiple times a day. Our ETLs used to take 8 to 10 hours to run. Now they run- >> So, extraction, transformation and load. >> Yep, yep. >> Okay. So, we consider it a party foul if you use a TLA and you don't find it the first time. >> Okay. >> But you get a pass 'cause you're an actual and real person. >> I'll give you that one. >> I already had a claim laid on that. I'm sorry, so continue. >> Yeah, yeah. So, it allowed now the growers to make multiple decisions and then you start adding the next layer. As we expanded our technology base, we started introducing AI into it. So now, AI is even starting to make decisions before the grower even knows to make them based on historical data. So, it's allowed us to become more proactive in protecting the health and longevity and even taste of that plant and the product coming out to you. >> That's awesome. Alison, talk to us about from Dell's perspective how is it helping Nature Fresh to simplify the Edge which there's a lot of complexity there? You talked about the size of the organization but how do you help simplify it? >> I think Nature Fresh had a lot of common problems that we see customers have. So, they had some really interesting ambitions to improve their produce and do it in a GMO free way and really bring a quality product to their customer. But yet, they were each solving their problems on their individual farms in different ways. And so, one of the ways that we were able to help was to consolidate a lot of those silos as they were expanding the scope and scale of what they really wanted to do from a technology perspective. And then being able to do that in a secure way that's delivering the insights they need when they need them right there at the Edge is really critical. >> I think it's wonderful that we have the actual stuff here. Because we often talk in these abstract terms about outcomes. There's your outcome right there. >> Yeah. >> Right. >> But talk about this growing in the soil somewhere. You have growers. It's not an abstraction. These are actual actual people. Where does the technology organism interface occur here? You have organically grown crops. Where's that interface? Where's the first technology involved in this process? Literally physically. >> Physically. >> Yeah, yeah, yeah. Is there a shack with a server in it somewhere? >> So, we actually have, we have a core data center at the center of Nature Fresh set up basically where everything ends up. We have our Edge. So, we have computers, we're at the Edge analyzing stuff. But if you want to go right back to the grassroots of where it actually is, is it's right at, not dirt, but a ground up coconut husk. That is what the plants are grown in. And we analyze the data right there, 'cause that is our first Edge. And people think that's static for us. The Edge isn't static. 'Cause the Edge now moves. We have a plant that grows. Then we pick it. And then we have to store it and then we have to ship it. So, our Edge actually does move from area to area to area. So, statically one thing isn't the same all the time. It's a hard thing to say how it all starts but it's just a combination of everything from natural gas to everything. >> Okay, then are those, 'cause we think of things in terms of like internet of things and these sensors. >> Oh yeah. >> Things are being gathered. So, you've got stuff happily growing in husks and then being picked. What's the next step there? Where is that aggregated? Where does that go? Is that all going straight back to your data center or are there sort of intermediate steps in the process? >> So, what we do is we actually store everything at the Edge, and we do daily processes right there. And then it aggregates that data and it drops it down from a large number to a smaller number to go to the core. >> Got it. >> And then that way, at the core, it does the long term analysis. 'Cause again, a lot of the data that we collect, we don't need to keep. A lot of it is the temperature was X, the temperature was X, the temperature, we don't need that. So, it aggregates it all down. So, that way the information coming to the core doesn't overwhelm it. Because we do store enough information. And to give you an idea of how our 1.8 million plants are living and breathing. We actually have estimated 1.8 million plants throughout our 200 acres. >> At any moment. >> Yeah. >> That's how many plants they're tracking. And so, that realtime information is helping to make sure that they water the plants precisely with the amount that they need, that they're fertilizing them. And you were telling me about how the life of a plant, you're really maintaining that plant over the life of 12 months. So, if you make a mistake at any point along the line, then you're dealing with that in terms of their yield throughout the life of the plant. But you aggregate a lot of that data right there on site so that you're not having to send so much back to the cloud or to the core. And you do that a lot with VxRail as well as other technology you have on site. Right? >> Yeah. Our VxRail is the center of the core of how we process things. It allowed us to even expand, not even just for compute but GPUs for our AIs to do it. So, it's what we did. And it allowed us to mold how we do things. >> Alison, question for you, this sounds like a dynamic Edge the way that you described it, Keith, and you described it so eloquently. How does the partnership that Dell has with Nature Fresh, how is Dell enabling and accelerating and advancing its Edge solutions based on what you're seeing here and this need for realtime data analytics. >> Well, we spend a lot of time with customers like Keith and also across all kinds of other industries. And what we see is that they have a really common set of problems. They're all trying to derive realtime data right then and there so that they can make business decisions that impact their profitability and their competitiveness and all of their customers experience their product quality. And what we see a lot of times is that they have a common set of concerns around security. How to manage all of the hardware that they're implementing. And at the same time, they really want to be an enabler for the business outcome. So, people have creative ideas and they come to IT hoping for support in that journey. If you're managing everything as a snowflake, it becomes really hard and untenable. So, I think one of the things that we have as our mission is to help customers simplify their Edge so that they can be the enabler that's helping the business to transform and modernize. One of the things I really admire about Nature Fresh Farms is that they decided it from a full organization perspective. So, everybody from the operational technologists to the IT to the business decision makers and leaders at the company, they all decided to modernize together. And so, I think from a partnership perspective, too, that's one of the areas that we try to work with our customers on is really talking about total transformation and modernization. >> So, it sounds like, Keith, there was an appetite there as Alison was saying for a digital transformation and IT transformation. Talk to me a little bit about from a historical perspective, how old Nature Fresh is and how did you get the team on board sounds so eloquent. How did you get the team on board to go, "This is what we need to do and technology needs to fuel our business because it's going to impact the end user, consumer of our fabulous English cucumbers." >> So, it's actually really neat. Our owner, Pete Quiring, when he first started out he really wanted to embrace technology. And this is going back right to 2000. 2000 is when we first had our first planting. And he was actually a builder by nature. He actually was a builder and fabricator and he built greenhouses for other companies. But he said they're getting a little bigger and it's the labor amount, and the number of growers he needed for a range was getting exponentially higher. So, he was one of the first ones that said, "I'm going to put a computer right in the middle and control this 16 acre range." >> It's a pretty visionary view when you really think about it. He's trying to operate his farm. >> Yeah. >> Right? >> From one single computer. >> Operationalize it. It's really cool. >> So, it was neat concept and it was actually very much not a normal concept then. You go back to 2000, people weren't talking about internet of things. They didn't talk about automation. It wasn't there. And he basically said, this is the way to go. And unfortunately, he thought, "I'll sell it to somebody. I'll grow it, I'll put a product in for a year and I'll sell it." And then guess what happened? He didn't sell it. He says, "Ah, it's not big enough. I'll build another phase two." And then his comment to me was after he built the fourth phase, he says, "I guess I'm in the pepper and cucumber business now." And that's what he is just grown. But he said it was a great relationship we had and it's a great concept. And it even goes back, and I know we talked about before, is the computer allowed one senior grower to control large number of acreages. Where before, you'd need multiple growers that know exactly what to do, 'cause they'd have to manually change all these things. Now, from a single computer they can see everything that's going on in the entire range. >> You mentioned temperature and water. And this is kind of out of the blue question, but how have global circumstances and increases in the cost of fertilizer affected you? Or is that fertilizer that's not the type that you use in your operation? You have any insight into that. >> Yeah, everything has, the global change in cost has changed everybody. I don't think there's anybody that's exempt from it. The only thing that we've been able to do is we're able to control it. We don't need to rely on, I guess you can say, rely on the weather to help us do things. We can control how much is. And we recycle all of our water. So, what the plant doesn't absorb today for nutrients, we'll put it back in the system, sterilize- >> Wait, when you say 200 acres, it's all enclosed? >> Yep, 200 acres. >> 200 acres of greenhouse. >> Yep, at 200 acres of greenhouse entirely enclosed. >> Okay, okay. >> There is not a single portion of our greenhouse that's actually gets exposed to the outside. And if you ever see a picture of a greenhouse and you see one of these lovely plants here wet, that's not true. That's just a nice to make it look better. >> Spray it for the photo. >> Yeah, yeah. They spray it for the photo. But actually everything is dry. That water goes directly to the roots and we monitor how much we put in and how much comes out. And then we recycle it. We even get so much recycling, we run natural gas generators to heat the water to heat the greenhouse. We take the burn-off of natural gas, the CO2, and funnel that into the greenhouse to give it natural stimulant. >> So, this is starting to remind me of "The Martian", if you read the book or if you seen the movie. >> Oh yeah. >> But planting the potatoes inside the hab, in the habitat. >> Yeah, and you cut 'em in half and the little ones grow with that next ones. But yep, we recycle everything that we do. And that's what we do. >> That's amazing. >> And all that information at their fingertips. Really, I think what technology is enabling you all to do is focus on what you all are good at, which is focusing on your farming operation and not necessarily the technology. So, one of the places I think we deliver some value is in validating a lot of the solutions so that customers don't have to figure that all out themselves. >> Yeah, 'cause I'm not a security expert. I don't always understand the true depth of security, but that's where that relationship is. We need this and we need that. And we need a secure way to let those communicate. And we can hand that off to the experts at Dell and let us do what we do best. >> What have been some of the changes? In the last couple of years, we've seen the security elevate skyrocket to a board level conversation. Ransomware is a when, not if, we get attacked. How does Dell help you from a security perspective ensure that what you're able to do ultimately gets these products to market in a secure fashion so that all that data that you're generating isn't exposed? >> So, like I said, I agree 100%. It's not matter of if it's going to happen, it's when it's going to happen. So, one of the things that we've actually done is we started to use Dell solution, the PowerProtect Data Manager to back up our solutions on the VxRail. And it actually did twofold for us. It allowed us to do a lot of database manipulation from restores and stuff like that. But we're now actually even investing in the cyber recovery vault that gives us that protection. And it allows us to now look at how long will it take us to get back up. And we're doing some tests right now and the last test we did is we're able to get back up going as a company from a full attack in about an hour. >> Wow. >> We've actually done a few simulations now. So, we are able to recover what our core needs are within an hour. >> Which is a very different metric than simply saying, "Oh, the data's available." >> Yeah. >> No, no, no, no, no, no, no, no. You get zero credit for that. We need our operations to be back up and running. >> Even that hour is stressful to our growers. >> Sure. >> It's a variable within a variable because if you go in the summer when it's super hot, they'll be very stressed out within an hour. And then you got nice calm weather day, it's not as bad. But the weather can change in how they have to close the vents. And you're not just closing one vent, you're closing 32, 64, 100 acres of vents. And you're changing irrigation cycle. You need that automation to do it for you. >> How do you let people eat these things after all the care that goes into it? I'm going to feel mildly guilty for just about a second and a half before I sink my teeth into the cucumber. >> Oh, but that's the joy of it. That's one of the things that I love. >> This is serious. You're proud of this, aren't you? >> Oh yeah. You know what? There's not single person at Nature Fresh that isn't proud of what we do each day. We enjoy what we do and it's a culture that makes us strive to do better every day. It's just a great feeling to be there every day and to just enjoy what you're doing. >> And see, it's real. It's real. Isn't it great? Isn't it great to be a part of? My background's in economics. I think of these things in terms of driving efficiency. And this is just a beautiful thing. When you control those variables, you leverage the technology and what's the end result? You're essentially uplifting everything in the world. >> Yeah, so true. >> Not to get philosophical on ya. >> Right, and feeding the world, especially during the last couple of years, that access. One of the things we learned in the pandemic, one of many, is access to realtime data isn't a nice to have anymore, it's essential. >> Yeah. >> So true. >> And so, the story that you're telling here, the impact to the growers, enabling them to focus what you were saying, Alison, on what they do best, Dell Technologies, VxRail enabling Nature Fresh to focus on what it does best, ultimately delivering food to people during the last couple of years was huge. >> Yeah, and allowing even at a reduced labor number for us to keep growing and doing things by automation. We still need labor in the greenhouse to pick, prune and do stuff like that. But again, we're looking into technologies to help offset that. But again, it was one of those things that we just had to be efficient at everything we do. And we drove that through everything we have. >> Well, and you guys haven't stopped. Right? >> Yeah. >> You're continuing to figure out, he was just telling me a little bit about what their next step is. So, just getting more and more accurate, more intelligence as they grow. So, it's the possibilities, that's what's exciting to me about Edge. I think this example is great, 'cause it's so relatable. Everybody can understand what the Edge is in this context. And it's really driven by the fact that you can put compute into so many different places now. It's more though a matter about how do you gather it? How do you do it in a way where you can actually understand and glean information and insights from it? And that, I think, is what you all are really focused on. >> Yeah, yeah, information is key. >> It is key. What's next from Dell's perspective for Edge computing technologies? what are some of the things you guys got cooking? >> Yeah, we're going to try to help customers to continue to simplify their Edge. So, to deliver those insights that they need where they need them, to do it in a really secure way. I know we talked about security but to do it in really a zero trust fashion. And to help customers to do it also in a zero IT fashion. Because in this example, it's the growers that are out there in the fields, or in your greenhouse in this sense, helping people that aren't necessarily IT specialists to be able to get all the benefits from the technology. >> So, do you think that VxRail technology could be used to optimize say the production of olive oil? I'm looking here and we have the makings of a pretty good salad. >> Yeah, you do. >> There you go. >> It obviously doesn't just apply to food production. >> Yeah, it really goes across the board. Whether we're talking about manufacturing or retail or energy, putting technology right there at the point of data creation and being able to figure out how to manage that inflow of data, be able to figure out which portion of the data is really valuable, and then driving decisions and being able to understand and intelligently make decisions for your business based on that data is really important. >> Keith, what's next? Give us, as we wrap out this segment here, what's next from a technology perspective? You mentioned a couple things you're looking into. >> Yeah, so I think automation is really going to change the way we do things. And automation within the greenhouse is truly just becoming a reality. It's funny we go back and we say, can we do this stuff? And now it's like, oh, even three years ago, I don't think we were quite ready for it, but now it's right there. So, I see us doing a lot more work with vendors like Dell and to do automatic picking, automatic scouting, all that stuff that we do by hand, do it in an automated fashion. >> And at scale, right? >> Yeah. >> That's the important part. I think when you're managing a snowflake, you can only do it to some level, and to be able to automate it and to be able to break down those silos, you're going to be able to apply it to so many parts of your business. >> Yeah, wide applicability. Guys, thank you so much for joining us, sharing the Nature Fresh, Dell story, bringing us actual product. This is so exciting. We congratulate you on how you're leveraging technology in a really innovative way. And we look forward to hearing what's next. Maybe we'll see you at Dell Technologies World next year. >> Sounds great. >> Sounds great. >> Thank you so much. >> All right, our pleasure, guys. >> Thank you. >> For our guests and Dave Nicholson, I'm Lisa Martin. You're watching theCUBE live from VMware Explorer 2022. Dave and I will be right back with our next guest. So, stick around. (light upbeat music)
SUMMARY :
and we have some props on set. So, Keith, talk to us a So, the peppers that we have I'd like to say Nature Connect the dots for us. and one of the transformations we made is So, extraction, and you don't find it the first time. But you get a pass 'cause you're I already had a claim laid on that. of that plant and the Alison, talk to us about And so, one of the ways that we were able we have the actual stuff here. growing in the soil somewhere. Yeah, yeah, yeah. and then we have to ship it. 'cause we think of things back to your data center at the Edge, and we do And to give you an idea of how to the cloud or to the core. of the core of how we process things. the way that you described it, Keith, And at the same time, because it's going to impact And this is going back right to 2000. when you really think about it. It's really cool. And then his comment to me was Or is that fertilizer that's not the type to do is we're able to control it. Yep, at 200 acres of That's just a nice to make it look better. that into the greenhouse to So, this is starting to But planting the potatoes and the little ones grow So, one of the places I think we deliver And we can hand that off to the experts In the last couple of years, and the last test we did is So, we are able to recover the data's available." We need our operations to stressful to our growers. You need that automation to do it for you. after all the care that goes into it? Oh, but that's the joy of it. This is serious. and to just enjoy what you're doing. Isn't it great to be a part of? One of the things we the impact to the growers, enabling them We still need labor in the greenhouse Well, and you guys haven't stopped. And it's really driven by the fact you guys got cooking? And to help customers to do to optimize say the apply to food production. and being able to understand Give us, as we wrap out this segment here, the way we do things. and to be able to And we look forward to Dave and I will be right
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Breaking Analysis: VMware Explore 2022 will mark the start of a Supercloud journey
>> From the Cube studios in Palo Alto and Boston, bringing you data driven insights from theCUBE and ETR, this is Breaking Analysis with Dave Vellante. >> While the precise direction of VMware's future is unknown, given the plan Broadcom acquisition, one thing is clear. The topic of what Broadcom plans will not be the main focus of the agenda at the upcoming VMware Explore event next week in San Francisco. We believe that despite any uncertainty, VMware will lay out for its customers what it sees as its future. And that future is multi-cloud or cross-cloud services, what we call Supercloud. Hello, and welcome to this week's Wikibon Cube Insights powered by ETR. In this breaking analysis, we drill into the latest survey data on VMware from ETR. And we'll share with you the next iteration of the Supercloud definition based on feedback from dozens of contributors. And we'll give you our take on what to expect next week at VMware Explorer 2022. Well, VMware is maturing. You can see it in the numbers. VMware had a solid quarter just this week, which was announced beating earnings and growing the top line by 6%. But it's clear from its financials and the ETR data that we're showing here that VMware's Halcion glory days are behind it. This chart shows the spending profile from ETR's July survey of nearly 1500 IT buyers and CIOs. The survey included 722 VMware customers with the green bars showing elevated spending momentum, ie: growth, either new or growing at more than 6%. And the red bars show lower spending, either down 6% or worse or defections. The gray bars, that's the flat spending crowd, and it really tells a story. Look, nobody's throwing away their VMware platforms. They're just not investing as rapidly as in previous years. The blue line shows net score or spending momentum and subtracts the reds from the greens. The yellow line shows market penetration or pervasiveness in the survey. So the data is pretty clear. It's steady, but it's not remarkable. Now, the timing of the acquisition, quite rightly, is quite good, I would say. Now, this next chart shows the net score and pervasiveness juxtaposed on an XY graph and breaks down the VMware portfolio in those dimensions, the product portfolio. And you can see the dominance of respondents citing VMware as the platform. They might not know exactly which services they use, but they just respond VMware. That's on the X axis. You can see it way to the right. And the spending momentum or the net score is on the Y axis. That red dotted line at 4%, that indicates elevated levels and only VMware cloud on AWS is above that line. Notably, Tanzu has jumped up significantly from previous quarters, with the rest of the portfolio showing steady, as you would expect from a maturing platform. Only carbon black is hovering in the red zone, kind of ironic given the name. We believe that VMware is going to be a major player in cross cloud services, what we refer to as Supercloud. For months, we've been refining the concept and the definition. At Supercloud '22, we had discussions with more than 30 technology and business experts, and we've gathered input from many more. Based on that feedback, here's the definition we've landed on. It's somewhat refined from our earlier definition that we published a couple weeks ago. Supercloud is an emerging computing architecture that comprises a set of services abstracted from the underlying primitives of hyperscale clouds, e.g. compute, storage, networking, security, and other native resources, to create a global system spanning more than one cloud. Supercloud is three essential properties, three deployment models, and three service models. So what are those essential elements, those properties? We've simplified the picture from our last report. We show them here. I'll review them briefly. We're not going to go super in depth here because we've covered this topic a lot. But supercloud, it runs on more than one cloud. It creates that common or identical experience across clouds. It contains a necessary capability that we call a superPaaS that acts as a cloud interpreter, and it has metadata intelligence to optimize for a specific purpose. We'll publish this definition in detail. So again, we're not going to spend a ton of time here today. Now, we've identified three deployment models for Supercloud. The first is a single instantiation, where a control plane runs on one cloud but supports interactions with multiple other clouds. An example we use is Kubernetes cluster management service that runs on one cloud but can deploy and manage clusters on other clouds. The second model is a multi-cloud, multi-region instantiation where a full stack of services is instantiated on multiple clouds and multiple cloud regions with a common interface across them. We've used cohesity as one example of this. And then a single global instance that spans multiple cloud providers. That's our snowflake example. Again, we'll publish this in detail. So we're not going to spend a ton of time here today. Finally, the service models. The feedback we've had is IaaS, PaaS, and SaaS work fine to describe the service models for Supercloud. NetApp's Cloud Volume is a good example in IaaS. VMware cloud foundation and what we expect at VMware Explore is a good PaaS example. And SAP HANA Cloud is a good example of SaaS running as a Supercloud service. That's the SAP HANA multi-cloud. So what is it that we expect from VMware Explore 2022? Well, along with what will be an exciting and speculation filled gathering of the VMware community at the Moscone Center, we believe VMware will lay out its future architectural direction. And we expect it will fit the Supercloud definition that we just described. We think VMware will show its hand on a set of cross-cloud services and will promise a common experience for users and developers alike. As we talked about at Supercloud '22, VMware kind of wants to have its cake, eat it too, and lose weight. And by that, we mean that it will not only abstract the underlying primitives of each of the individual clouds, but if developers want access to them, they will allow that and actually facilitate that. Now, we don't expect VMware to use the term Supercloud, but it will be a cross-cloud multi-cloud services model that they put forth, we think, at VMworld Explore. With IaaS comprising compute, storage, and networking, a very strong emphasis, we believe, on security, of course, a governance and a comprehensive set of data protection services. Now, very importantly, we believe Tanzu will play a leading role in any announcements this coming week, as a purpose-built PaaS layer, specifically designed to create a common experience for cross clouds for data and application services. This, we believe, will be VMware's most significant offering to date in cross-cloud services. And it will position VMware to be a leader in what we call Supercloud. Now, while it remains to be seen what Broadcom exactly intends to do with VMware, we've speculated, others have speculated. We think this Supercloud is a substantial market opportunity generally and for VMware specifically. Look, if you don't own a public cloud, and very few companies do, in the tech business, we believe you better be supporting the build out of superclouds or building a supercloud yourself on top of hyperscale infrastructure. And we believe that as cloud matures, hyperscalers will increasingly I cross cloud services as an opportunity. We asked David Floyer to take a stab at a market model for super cloud. He's really good at these types of things. What he did is he took the known players in cloud and estimated their IaaS and PaaS cloud services, their total revenue, and then took a percentage. So this is super set of just the public cloud and the hyperscalers. And then what he did is he took a percentage to fit the Supercloud definition, as we just shared above. He then added another 20% on top to cover the long tail of Other. Other over time is most likely going to grow to let's say 30%. That's kind of how these markets work. Okay, so this is obviously an estimate, but it's an informed estimate by an individual who has done this many, many times and is pretty well respected in these types of forecasts, these long term forecasts. Now, by the definition we just shared, Supercloud revenue was estimated at about $3 billion in 2022 worldwide, growing to nearly $80 billion by 2030. Now remember, there's not one Supercloud market. It comprises a bunch of purpose-built superclouds that solve a specific problem. But the common attribute is it's built on top of hyperscale infrastructure. So overall, cloud services, including Supercloud, peak by the end of the decade. But Supercloud continues to grow and will take a higher percentage of the cloud market. The reasoning here is that the market will change and compute, will increasingly become distributed and embedded into edge devices, such as automobiles and robots and factory equipment, et cetera, and not necessarily be a discreet... I mean, it still will be, of course, but it's not going to be as much of a discrete component that is consumed via services like EZ2, that will mature. And this will be a key shift to watch in spending dynamics and really importantly, computing economics, the things we've talked about around arm and edge and AI inferencing and new low cost computing architectures at the edge. We're talking not the near edge, like, Lowes and Home Depot, we're talking far edge and embedded devices. Now, whether this becomes a seamless part of Supercloud remains to be seen. Look, if that's how we see it, the current and the future state of Supercloud, and we're committed to keeping the discussion going with an inclusive model that gathers input from all parts of the industry. Okay, that's it for today. Thanks to Alex Morrison, who's on production, and he also manages the podcast. Ken Schiffman, as well, is on production in our Boston office. Kristin Martin and Cheryl Knight, they help us get the word out on social media and in our newsletters. And Rob Hoffe is our editor in chief over at Silicon Angle and does some helpful editing. Thank you, all. Remember these episodes, they're all available as podcasts, wherever you listen. All you got to do is search Breaking Analysis Podcast. I publish each week on wikibon.com and siliconangle.com. You can email me directly at david.vellante@siliconangle.com or DM me @Dvellante or comment on our LinkedIn posts. Please do check out etr.ai. They've got some great enterprise survey research. So please go there and poke around, And if you need any assistance, let them know. This is Dave Vellante for the Cube Insights powered by ETR. Thanks for watching, and we'll see you next time on Breaking Analysis. (lively music)
SUMMARY :
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Murli Thirumale, Portworx | AWS Summit SF 2022
(upbeat music) >> Okay, welcome back everyone to theCUBE's coverage of AWS Summit 2022, here at Moscone Center live on the floor, I'm John Furry host of theCUBE, all the action day two, remember AWS Summit in New York City is coming in the summer. We'll be there as well. Got a great guest Murli Murli who's the VP and GM of Cloud Native Business Unit Portworx, been in theCUBE multiple times. We were just talking about the customer he had on Ford from Detroit, where kubernetes will be this year. >> That's right. >> Great to see you. >> Yeah, same here, John. Great to see. >> So, what's the update? Quickly this, before we get into the country, give the update on what's going on in the company, what's happening? >> Well, you know, we've been acquired by Pure Storage it's well over a year. So we've had one full year of being inside of Pure. It's been wonderful, right? So we've had a great ride so far, The products have been renewed. We've got a bunch of integrations with Pure. We more than doubled our business and more than doubled our head count. So things are going great. >> I always had a, congratulations by the way. And I was going to ask about the integration but before I get there, yeah, we've been always like play some jokes on theCUBE and because serverless is so hot, I've been using storage lists and actually saw a startup yesterday had the word networking lists in their title. So this idea of like making things easier, but me, I mean serverless of this is basically servers that make it easier. >> Yeah, yeah >> So this is kind of where we see Cloud Native going. Can you share your thoughts on how Pure and Portworx are bringing this together? Because you can almost connect the dots in my mind. So say specifically what is the Cloud Native angle with Pure? >> Yeah. So look, I'll kind of start by being captain an obvious, I guess. Just sort of stating some obvious stuff and then get to what I hope will be a little bit more new and interesting. So the obvious stuff to start with is just the fact that Cloud Native is exploding. Containers are exploding. It's kind of a well known fact that 85% of the enterprise organizations around the world are pretty much going to be deploying containers, if not already in the next couple of years, right? So one it's really happening. The, buzz is now, it's not just in the future, the hype is now. The second part of that is it's really part of that is things are going production. 56% of these organizations are in production already. And that's the number is going to climb to 80 fairly quickly. So not only is this stuff being deployed as being deployed in sort of fairly mission critical, especially Greenfield applications. So that's kind of one, right? Now, the second thing that we're seeing is as they go in into production, John, the migraines are starting, right? Customer migraines, right? It's always happens in stuff that they have not looked around the corner and anticipated. So one of them is, again, a fairly obvious one is as they go into production, they need to be able to kind of recover from some oops that happens, right? And the kinds of think about this, right? John, this stuff is rapidly changing, right? Look at how many versions of kubernetes come out on a regular basis. On top of that, you got all these app, virgins, new database virgins, new stuff, vendors like us, ourselves have new virgins. So with all these new virgins, when you put it all together the stack, sometimes misbehave. So you got to kind of, "Hey, let me go recover." Right? You have outages. So essentially the whole area of data protection becomes a lot more critical. That's the migraine that people are beginning to get now, right? They can feel the migraine coming on. The good news is this is not new stuff. People know on- >> John: The DevOps. >> Yeah. Well, and in fact it is that transition from DevOps to ITOps, right? People know that they're going into production, that they need backup and data protection and disaster recovery. So in a way it's kind of good news, bad news, the good news is they know that they need it. The bad news is, it turns out that it's kind of interesting as they go Cloud Native, the technology stack has changed. So 82% of customers who are kind of deploying Cloud Native are worried about data protection. And in fact, I'll go one step further 67% of those people have actually kind of looked at what they can get from existing vendors and are going, "Hey, this is not it. This is not going to do my stuff for me." >> And by the way, just to throw a little bit more gas on that fire is ransomware attacks. So any kind of vulnerability opening? Maybe make people are scared. >> Murli: Absolutely. >> So with- >> Murli: Its a board level topic, right? >> Yeah, and then you bring down the DevOps, which is we all know the innovation formula launch in iterate, pivot, iterate, pivot, then innovation you get the formula, all your metrics, but it's a system. >> Correct. >> Storage is part now of a system when you bring Cloud Native into it, you have a consequence if something changes. >> Murli: Correct. >> So I see that. And the question I have for you is, where are we in the stability side of it? Are we close to getting there and what's coming out to help that, is it more tooling? Because the trend is people are building tools around their Cloud Native thing. I was just talking to MongoDB and they got a database, now that's all tooling. Vertically integrate into the asset or the product, because it integrates with APIs, right? So that makes total sense. >> So I think there's kind of again, a good news, bad news there, right? There's a lot of good news, right? In the world of containers and kubernetes what are some of the good news items, right? A lot of the APIs have settled down have been defined well, CNCF has done a great job promoting that, right? So the APIs are stable, right? Second, the product feature set, have become more stable, particularly sort of the the core kubernetes product security kind of stuff, right? Now what's the bad news. The bad news is, while these things are stable they are not ready for scale in every case yet, right? And when you integrate at scale, so and typically the tipping point is around 20 to 30 nodes, right? So typically when you go beyond 20 to 30 nodes then the stuff starts to come a apart, right? Like, the wheels come off of the train and all of that. And that's typically because there's a lot of the products that were designed for DevOps, are not well suited for ITOps. So really there is a new- >> And the talent culture. >> Exactly. >> Talent and culture sometimes aren't ready or are changing. >> So it's a whole bunch of people trying to use kind of a maturing product set with skill sets that are pretty low, right? So when we get into production, then other factors come into play, high availability, right? Security, you talk about ransomware, disaster recovery backup. So these are things that are sort of, I would say not 101 problems, but 201 problems, so right? This is natural as we go to that part of the thing. And that's the kind of stuff that, Portworx and Pure Storage have been kind of focused on solving. And that's kind of been how we've made our mark in the industry, right? We've helped people really get to production on some of these different points. >> Expectation on both companies have been strong, high quality, obviously performance on Pure side from day one, just did a great job with the products. Now, when you go into Cloud Native you have now this connection okay. To the customer, again I think huge point on the changing landscape. How do you see that IT to DevOps emerging? Because the trend that we're seeing is, abstracting way the complexities of management. So I won't say managed services are more of a trend, they've always been around but the notion of making it easier for customers. >> Yep, absolutely right. >> Super important. So can you guys share what you guys are doing to make it easier because not everyone has a DevOps team. >> Yeah, so look, the number one way things are made more easy, is to make it more consumable by making it as a service. So this is one of the things, here we are, at AWS Summit, right? And delighted to be here by the way. And we have a strategic alliance with with AWS, and specifically, what we're here to announce really is that we're announcing a backup as a SaaS product. Coming up in a few weeks we're going to be giing running on AWS as a service integrated with AWS. So essentially what happens is, if you have a containerized set of applications you're deploying it on EKS, ECS, AWS, what have you. We will automatically provide the ability for that to be backed up scaled and to be very, very container granular, very app specific, right? Yeah, so it's designed specifically for kubernetes. Now here's the kind of key thing to say, right? Backup's been around for a long time. You've interviewed, tons of backup people in the past. But traditional backup is just not going to work for kubernetes. And it's very simple if you think about it, John. >> John: And why is that? >> It's a very simple thing, right? Traditional backup focuses on apps and data, right? Those are the two kind of legs of that. And they create catalogs and then do a great job there. Well, here's, what's happened with Cloud Native. You have a thing inserted in the middle called kubernetes. So when you take a snapshot, I'm now kind of going into a specific kind of, world of storage, right? When you take a snapshot, what Portworx does is we take a 3D snapshot. What you really need to recover, from a backup situation where, you want to go back to the earlier stage to be kubernetes specific, you need a app snapshot, snapshot of the kubernetes spec, pod spec, And third of snapshot of the data. Well, traditional, backup folks are not taking that middle snapshot. So we do a 3D snapshot and we recover all three which is really what you need to be able to kind of like get backed up, get recovered in minutes. >> Okay and so the alternative to not doing that is what? What will happen? >> You To do that, to do your old machine level backup? So what happens with traditional backups are typically VM level or machine level, right? So you're taking a snapshot of the whole kind of machine and server or VM setup and then you recover all of that, and then you run kubernetes on that and then you try to recover it- >> John: To either stand everything up again. >> Yeah, yeah. >> John: Pretty much. >> Yeah. Whereas, what do most people want to do? This is a very different use case, by the way, right? How does this work? What people are doing for kubernetes is they're not doing archival kind of backup. What they're doing is real time, right? You're running an ops. Like I said, you got an oops, "Hey, a new release for one of the new databases then work right? Boom! I want to just go back to like yesterday, right? So how do I do that? Well, here you can just go back for that one database, one app, and recover back to that. So it's operational backup and recovery as opposed to archival backup and recovery. So for that, to be able to recover in seconds, right? You need to be, he kind of want integrated with AWS which is what we are. So it's integrated, it's automated, and it's very, very container granular. And so these three things are the things that make it sort of, very specific way. >> I love the integration story. 'Cause I think that's the big mega trend we're seeing now is is that integrating in. And, but again, it's a systems concept. It's not standalone storage, detached storage. >> Murli: Exactly. >> It's always, even though it might be decoupled a little bit it's glued together through say- >> John, you said it right. The easy button is for the system, right? Not for the individual component. Look, all of us vendors in this ecosystem are going around framing, having a being easy. But when we say that, what do we mean? We mean, oh, I'm easy to use. Well that doesn't help the user. Who's got to put all this stuff together. So it's really kind of making that stack work. >> This is easy to use, but it made these things more complex. This is what we do in the enterprise solve complexity with more complexity. >> Putting the problem to the other guy. Yeah. So it's that end to end ease of use is kind of what I would say, is the number one benefit, right? One it's container specific and designed for kubernetes. And second, it really, really is easy. >> Well, I really like the whole thing and I want to get your thoughts as we close out, what should people know about Pure and Portworx's relationship now and in the Amazon integration, what's the new narrative the north Star's still the same? High performance store, backup, securely recover and deliver the data in whatever mechanism we can. That north Star's clear, never changes, which is great. I feel love about Pure and Cloud Native. It's just taking the blockers away- >> I think the single biggest thing I would say, is all of these things, what we're turning into it is as a service offering. So if we're going to backup as a service our Portworx product now is going to be the Portworx enterprise Pure Storage product is going to be offered as a service. So with, as a service, it's easy to consume. It's easy to deploy. It's fully automated. That's the kind of the single biggest aha! Especially for the folks who are deploying on AWS today, AWS is well known for being easy to use. It's kind of fully automated. Well here, now you have this functionality for Cloud Native workloads. >> Final question, real quick, customer reaction so far, I'm assuming marketplace integration, buying terms, join selling, go to market? >> So yeah, it is integrated billing and all of that is part of that kind of offering, right? So when we say easy, it's not just about being easy to use it's about being easy to buy. It's being easy to expand all of that and scaling. Yeah. And being able to kind of automatically or automagically as I like to say, scale it, right? So all of that is absolutely part of it, right? So it is really kind of... It's not about having the basics anymore. We've been in the market now for six, seven years, so right? We have sort of an advanced offering that not only knows what customer want but anticipates what ones can expect and that's a key difference. >> I was talking to Dr. Matt Wood real quick. I know we got to wrap up on the schedule, but earlier today about AI and business analytics division's running and we were talking about serverless and the impact of serverless. And he really kind of came down the same lines where you are with the storage and the cloud data which is, "Hey, some people just want storage and the elastic leap analytics without all the under the cover stuff." Some people want to look under the covers, fine whatever choice. So really two things, so. >> Yeah, yeah. All the way from you can buy the individual components or you can buy the as a service offering, which just packages it all up in a on easy to consume kind of solution, right? >> Final, final question. What's it like at Pure everything going well, things good? >> We love it, man. I'll tell you these folks have welcomed us with open arms. And look, I've been acquired twice before. And I say this, that one of the key linchpins to a successful integration or acquisition is not just the strategic intent that always exists but really around a common culture. And, we've been blessed. I think the two companies have a strong common culture of being customer first, product excellence, and team wins every time. And these three things kind of have pulled us together. It's been a pleasure. >> One of the benefits of doing the queue for 13 years is that you get the seats things. Scott came on the queue to announce Pure Storage on theCUBE, cuz he was a nobody else. There was, oh, you're never going to get escape Velocity, EMC's going to kill, you never owned you. Nope. >> Well, we're talking about marketplaces and theCUBE is the marketplace of big announcements, John. So this is, delighted- >> Announcements. >> Yeah. Yeah. Well that was the AWS announcement. Yeah. So that's, that is big >> Final words, share the audience. What's what to expect in the next year for you guys? What's the big come news coming down? What's coming around the corner? >> I think you can expect from from Pure and Portworx the as a service set of offerings around, HADR backup, but also a brand new stuff, keep an eye out. We'll be back with John. I hope that talking about this is data services. So we have a Portworx data service product that is going to be announced. And it's magic. It's allowing people to deploy databases in a very, very, it's the easy button for database deployment. >> Congratulations on all your success. The VP and General Manager of the Cloud Native Business Unit. >> You make it sound bigger than it actually is, John. >> Thanks for coming on. Appreciate it. >> Thanks. >> Okay theCUBE coverage be back for more coverage. You're watching theCUBE here, live in Moscone on the ground at an event AWS Summit 2022. I'm John Furrier. Thanks for watching. (upbeat music)
SUMMARY :
is coming in the summer. So things are going great. about the integration connect the dots in my mind. So the obvious stuff to start with the good news is they And by the way, just to bring down the DevOps, when you bring Cloud Native into it, And the question I have for you is, So the APIs are stable, right? Talent and culture sometimes And that's the kind of stuff but the notion of making So can you guys share what you guys Yeah, so look, the number one way Those are the two kind of legs of that. John: To either stand So for that, to be able to I love the integration story. The easy button is for the system, right? This is easy to use, So it's that end to end ease of use and deliver the data in That's the kind of the single biggest aha! So all of that is absolutely and the impact of serverless. All the way from you can buy What's it like at Pure everything is not just the strategic intent Scott came on the queue to is the marketplace of So that's, that is big the next year for you guys? it's the easy button of the Cloud Native Business Unit. You make it sound bigger Thanks for coming on. on the ground at an event AWS Summit 2022.
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Wim Coekaerts, Oracle | CUBE Conversation, May 2020
>> From theCUBE studios in Palo Alto and Boston, connecting with thought-leaders all around the world, this is a Cube Conversation. >> Hi everybody, this is Dave Vellante. Welcome to this Cube Conversation. We're really excited to have Wim Coekaerts in, he is the senior vice-president of software development at Oracle. Wim, it's great to have you on, and, you know I often say I wish we were face-to-face but if we were you'd have to cut off my tie, cause developers and ties just don't go together. >> No, I know, and this is my normal outfit, so this is me wherever I go. Hi again, good to see you. >> Yeah, great to see you. So, of course, you know a lot of people are confused about Oracle, and open-source, they say "Oracle? Open-source? What is that all about?" But I think you're misunderstood. People don't, first of all, realize you as the leader of the software-development community inside of Oracle, I mean, you've been involved in Linux since the early 90s. But you guys have a lot of committers, you do a lot. I want to talk about that. What is up with Oracle, and open-source? >> Ah, well, it's a broad question. So, you know, a couple of things. One is, we have many different areas within the company that are dealing with open-source. So we have the cloud team doing a lot of stuff around cloud SDKs and support for different languages like Python and Go, and of course Java and so forth, so they do a lot around ensuring that the Oracle ecosystem is integrated in the open-source tools that customers use, or developers use, Terraform companies and so forth. And then you have the Java team, and so forth. Java is open-source and then the Graal project, GraalVM which is a polyglot compiler that can run Java, and Python, and Javascript and so forth together in one. VM do really cool optimizations, that's an open-source project, also on GitHub. There's of course MySQL, which is along with Java, they're probably the two most popular and widely used open-source projects out there. There's VirtualBox which is of course also a very popular project that's open-source. There's all the work we do around Linux. And I think one of the things is that, when you have so many different areas, doing things that are for that area, then as a developer or as a customer, you typically just deal with that group. And what you see is, oh you're talking to the Java developers, so you know what's going on around Java. The Java developers might not necessarily say, "Oh well we also do MySQL, and we do Linux and VirtualBox and so forth," and so you get a rather myopic, narrow view of the larger company. When you add all these things up, and there will be one big slide that says "This is Oracle, these are all these open source projects," and there's multiple ways. One is, we have projects that we've open-sourced and all the code came from us and we made it publicly available, we're the main contributor and we get contributions back. There are other projects where we contribute to third-party in terms of enhancing things, like I said with the Cloud Team, and then in general something like Linux where we're part of an external project and we participate in development of that project at large. And so there's these three different ways, when you count up all the developers that we have that deal with open-source on a daily basis. And in terms of contributions, in terms of bug fixes, testing, and so forth, it's thousands, literally, full-time paid developers. And of course, all the projects are all either on GitHub or similar sites that are very popular. So yeah, I think the misunderstood is probably a lack of knowledge of the breadth of what we do. And, you know, our primary goal is to provide services and products to customers, and so the open-source part is sort of embedded in a development methodology. But that's not something we sell or market separately, we just work with customers and products and services, and so in some cases it's not well-understood. >> Yeah. Well, we're talking of course, we're talking about the state of the penguin, I think it's important for people to understand, Oracle got into the Linux game in the 90s, maybe the latter part of the 90s and Oracle, of course, wants to make Linux-- wants to make Oracle, it's applications and database run better on Linux, but as you're pointing out, your Linux distro, full support, end-to-end, thousands of people in your open-source community, and the contributions that you make to Linux, many if not most, they go upstream, everybody can benefit from those, but of course you want an Oracle distro that is going to make Oracle stuff run better, that's always kind of been the Oracle way. >> Well, so, yes, two things though. One is, so everything we do is upstream. So we have no Linux patches that are not contributed upstream; There's no proprietary code in Oracle Linux at all, it's all completely open, publicly available: the source code, the change log, all the commits, it's fully open and public, which sometimes is not well-understood, but it's completely open. And, everything we do in terms of feature development or functionality or bug fixes goes upstream to the Linux kernel mail-list. It's actually, it's the only way to be able to manage a Linux distribution and be a Linux vendor is to live in that eco-system. Otherwise, the cost of maintaining your own fork, so to speak, is very high and it doesn't really solve the problem. Now, the functionality we work on obviously is focused on making Oracle products run better, making Oracle Cloud run better, and so forth. However, again, what's important to understand, though, is an Oracle database is a program running on an operating system. It does IO, it does networking, it deals with memory management, lots of processing. So, for the most part, the things that we work on to improve that helps everyone out, right? It helps every other database run better, or helps every other language run better. So none of these changes are specific to Oracle, they're just things that we found doing performance benchmarks and testing and so forth, where we say "Hey, if Linux did the following, it would make boot-up faster. Now boot-up has nothing to do with the database. But our customers run on 1-terabyte, 4-terabyte, 8-terabyte systems, and so booting up, and Linux starting up, and cleaning up memory takes a long time. So we want to reduce that from an availability point of view. So here, we're now talking about just enterprise for you. So there's this broad set of things we work on that definitely help us, but they're actually really completely generic and help everyone out. >> Yeah, that's great. So I wanted to kind of get that out of the way and help our audience understand that. So let's get into it a little bit; What are you seeing, what's going on in IT, pick your observation space and your vision of what you see happening out there. >> Well, you know, it's very interesting, it's sort of, there's two... there's sort of two worlds, right, there's the cloud world and the move to cloud, and there's the on-premises world, where people run their systems on their own. And, one of the things that we've learned is, when you talk about machine-learning, obviously, is something that's very popular these days, and automation. And so in order to rely on machine-learning well, and have algorithms that are very effective, you need lots of data. And so being a cloud vendor, and having Linux in our cloud on tens of thousands, or hundreds of thousands of servers, or more, allows us to have a view of how an operating system works across an incredibly large scale. So we get lots of data. And so for us to figure out which algorithms work well in terms of how can we do network optimizations, how can we discover anomalies on the storage site, and deal with it and so forth, we can do that at scale. And what's interesting is, how do we then bring that on-prem? Well, if we can get the data and the learning done, the training done, in our cloud directly, then when we provide that service also for people running Oracle Linux on premises then that will work. The alternative is to have point solutions where you provide something to a customer, and he needs to learn something from small amounts of data. That doesn't work so well. So I think having both worlds, on-prem and cloud directly, allows us to kind of benefit from that. And I think that's important, because lots of customers are interested in going to cloud. Many of the enterprises have not yet. You know, they're starting, but there's still a huge on-premises space that's important. And so by being able to get them familiar with how these things work at scale, autonomy is again important, right, Autonomous Database is incredibly popular and so forth, that allows us to then say, "Here, try these things out here, it's a service. We can show you the benefits right away," and then as that improves we bring that, to a certain extent, on-premises as well. And then they can have it in both places. And that, I think, is something, again, that's relatively unique but also very important, is that we want to provide services and products that act similarly on-premises as well as in cloud, because at some point when people move we want to make that transition seamless. And what you have today for the most part is one world that's on-prem, and then the cloud world is completely different. And that is a big barrier of moving, and so we want to reduce that, we can run the same operating system local as well as cloud, you can the same functionality, and then that helps transition people over much easier. >> Yeah, well Oracle actually was one of the -- I think Oracle was the first company to actually market same-same, you actually used that term. Others put forth that concept, but Oracle was the first to announce products like Cloud at Customer, that were same-same, now it took some time to actually get it perfected, and get it to market, but the point is, and we've written about this, is Oracle, because of the ascendancy of cloud, flipped and has a cloud-first mentality, and you just kind of referenced that, you just said, "And you can bring that to on-prem." So I wonder if you could talk about that cloud-first mentality, and the impact on hybrid. >> So yeah, I think the cloud-first part is of course in cloud we work on services moreso than products that we deliver. And there's a number of things that are happening. So one is that we obviously continue to provide products to customers, you can download Oracle Linux, you can download the database and what not, you can install it on your own, you can do the traditional way of working. Then in the cloud-world, what typically happens is "Oh, I use a database service. I'm not installing anything, I push a button and I get an IP address and a SQL that connects extremely quickly to the database." And we take care of everything underneath that is on this database. Now, in order to do that, you need a whole infrastructure in place, you need log-in agents, you need a back-end that captures all that stuff, you need monitoring tools, you need all the automation scripts for bringing the service up and monitor it. And so, that takes a lot of time to do right, and we learn a lot by doing this. And so the cloud-first part of these services means that we get to experience this ourselves with direct access to everything. Now taking that service with all of the additional features like autonomy, and bringing that to an on-premises world, we have to make sure we can package that so that all these pieces around it go along with it. And that takes a little bit more time, so we can do everything at the same time. And so what we've done with Autonomous Database is we created everything in Oracle Cloud, we have the whole system running really well, and then we've been able to sort of package that and shrink it into something that can be installed on-premises, but then connected into Oracle Cloud again. And so that way we can get all the telemetry over the metric, and that allows us to scale. Because part of providing a cloud service that runs on-prem in the customer environment is that we need to be able to remotely manage that similar to how that runs in our own cloud. Right, otherwise it doesn't scale. And so that takes a little bit of time, but we've done all that work, and now with Cloud at Customer Database that's really in place. >> Yeah, you really want to have that same cloud experience, whether with on-prem, in the public cloud, hybrid, et cetera. So, I want to explore a little bit more who is using Oracle Linux, and what's the driver for using it. Can you describe maybe some of the types of customers and why they buy? >> Sure, so we started this fourteen years ago, in 2006, October 25th, 2006. I remember that day very well; Penguins on stage and a big launch for Oracle Linux in San Francisco Moscone Center. So, look, the initial driver for Oracle Linux was to ensure that Oracle database customers or Oracle product customers had a good operating system experience, and the ability to be able to handle critical issues when that occurs, because typically a database runs the company's critical data: the most essential stuff that a company has is typically in a database, an Oracle database. And so when that thing has issues with the operating system, you don't want just to talk to multiple vendors and have finger-pointing, and having to explain to an operating system vendor how the database works. In the Unix world, we had a good relationship with the OS vendors, and the hardware vendors, they were the same. And they knew our products really well, and in the Linux world, that was very different. The OS vendor basically did not want to understand or learn anything about the products living on top. And so while to a certain extent that makes sense, it's an enterprise world where time is of the essence, and downtime needs to be limited absolutely. We can't have these arguments and such. And that was the driver, initially, for doing Oracle Linux. It was to ensure there was a Linux distribution really backed by us, that we could fix, that we could fully support. That was completely the original intent. And so the early customer base was database customers. Database and middleware. Mostly database. But that has then evolved quickly, and so what happened was, people say "Look, I have a thousand servers, a hundred run Oracle, so we'll run Oracle Linux on those hundred, and we'll run something else on those other nine-hundred." Now after a year or so, they realize that our support is really good; We fix all these issues, and so then they're like "Why are we having two Linux distributions? This thing works really well, it runs any application, it's fully compatible, so we'll do a thousand with Oracle Linux." And so the early days, the first few years, was definitely Oracle Database as the core driver, and then it sort of expanded to the rest of the estate. And over the years, we've added lots of features and functionality, like Ksplice, and so forth. We have an attractive pricing model for running on servers, and so now lots of our customers have a very small Oracle percentage running and many other things running. So it's really become a all-or-nothing play in the Linux space, and we're well-known now, so it's actually very good. >> You just mentioned Ksplice. We've been talking about cloud, and on-prem, and hybrid. Let's talk about security, because security really is a differentiator, particularly if you're going to start to put stuff in the cloud. Talk about Ksplice specifically, but generally security and your policy there. >> So, "Security first" is sort of what you hear us say and do, in everything we do. The database obviously security, on the Linux site security matters. Ksplice as a technology is there to do critical bug-fixing and make sure that we can apply security vulnerability fixes without affecting the customer, and not have downtime. And if you look at most of the cases or many of the cases where you have security vulnerabilities and exploits, it tends to be because systems were not patched. Why were they not patched? Well not that our customer doesn't understand that it's important, but it's a whole train of events that needs to happen. You have to, you get notified that there's a security issue in your operating system or application. Then, well, an application typically means it's a multi-layered setup. So if you have to bring your database server down, then you first have to coordinate with the application users to bring the app server down, cause that talks to the database. So to patch one system, you basically have to bring down the whole application stack. You have to negotiate with the DBAs, you have to negotiate with the app admins, you have to negotiate with the user. It takes weeks to do that and find time. Well during that time, you're vulnerable. So the only way, really, to address security in a scalable and reducing that window of time is to do it without affecting the customer. And so Casewise is something that, it's a company we acquired in 2009, and have since evolved in terms of capabilities, and so it allows us to patch the Linux terminal without downtime. We lock the kernel for 8 microseconds. It's literally no downtime. You don't have to bring down applications, the user doesn't see it, there's no hang, there's no delay. And so by doing that, you can run a Linux operating system, or gLinux, and you can be fully patched on a system that hasn't rebooted for 3 years. You don't even know it. And so by doing that type of stuff, it makes customers more secure, and it avoids them-- It saves them a lot of money in terms of dealing with project management and so forth, but it really keeps them secure. And so we do that for the Linux kernel, we do that for some of the libraries on top that are critical like OpenSSL and 2 LVC, and, you know one example-- I can give you two examples. So one example is, Heartbleed was this bug in OpenSSL a number of years ago. And so everyone had to patch their SSH server. And that meant, basically, systems around the world had to reboot. Like a whole IT reboot across the world. With Ksplice today, if Heartbleed were to happen tomorrow, we would be able to patch this online for all the Oracle Linux customers without any downtime. No reboots, no restarting of applications, everything keeps running. The amount of money saved would be massive, and also, of course, the headache. Another example is, and this was in Oracle Cloud, when some of these CPU bugs that happened a few years ago that were rather damaging on the cloud side, where you could basically see memory potentially of other CPUs running, the cloud is incredibly critical. We were basically able to basically patch our entire cloud in four hours. And the customer didn't know, right, a hundred and twenty million patches, or something, that we applied within four hours, all online, without any downtime. And so that technology has been really helpful, both for us to run our cloud, but the exact same patches and same fixes go to customers on-premises as well. But this comes back to the whole, what we do in cloud we also do for customer. And I think that's a unique thing that we have at Oracle which is quite fascinating. The operating system we run for our customers, the operating system that's the host part of VMs, is the exact same binary and source code that we make available, just to be clear, the exact same binaries are the ones that you run as a customer on-premises. So if you run Oracle Linux with KVM, you run VMs, you're actually running the exact same stuff as we run underneath our customer's stuff. Nobody else does that, everyone else has a black box. So I think that helps a little bit with transparency as well. >> Yeah, and that homogeneity just creates an environment, you're talking about that sort of security mindset, it's critical, you're not just bolting it on, it's part of the culture. But you started your career, and then of course you were a Linux person when you came to Oracle, but then I think you spent some time in database, back in the day when there were serious database wars going on, before Oracle became the king of database. So now you've got, obviously, this great portfolio, and a lot of really sharp software developers; What should we expect going forward, from Oracle? What should we look for? >> You know, I was talking to some, I was welcoming some interns to the company, for their summer internship yesterday, and one of the things I mentioned to them was that -- so cloud obviously gives us a lot of opportunities, but there's a number of things. One is, we have such a breadth of applications and software and hardware together. We have the servers, we have the storage, we have the operating systems, we have the database layer and so forth, and we have the cloud side, and one of the great opportunities, and I think we've shown a lot of this happening with the ability to create something like Autonomous Database, is to combine all these things. Right, we have such a broad portfolio of really cool technology that by itself is okay, but if you combine the things it really becomes awesome. You cannot create autonomous database without having autonomous learning. You cannot create those two and make them really safe without also controlling the firmware on the hardware and so forth. So by being able to combine all these layers, and by having a really great relationship across the teams within the company, that opens up a lot of opportunities to do stuff really quickly. And having the scale for that. I think that has been, for the last few years, a really great thing, but I can see that being one of the advantages that we have going forward. We have Oracle Fusion Applications, which is incredibly popular, and has great growth, and then we have that running on Oracle Cloud, that talks to Oracle Autonomous Database, so we bring all these pieces together. And no other SaaS vendor can do that, because they don't have these other pieces. They have one area, we have all of them. And so that's the exciting part for me, it's not so much about making my own world better, and having Linux be better, and Casewise and so forth, which is important, but that becoming part of the bigger picture. And that's the exciting part. >> Well, Oracle's always invested in RND, we've made that point many, many times. Whether it's database, you know Fusion was a painful but worthy effort, the whole public cloud piece, obviously many acquisitions, but the investments that you've made in open-source as well, Wim, you're a great spokesperson, and a great representative of the open-source community generally, and then Oracle specifically, so thanks very much for coming on theCUBE and sharing with us the state of the penguin, and best of luck. >> You're welcome. Thank you, thanks for having me. >> Alright, and thank you for watching, everybody. This is Dave Vellante for theCUBE. We'll see you next time. (cheerful music).
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NEEDS EDITS, DO NOT PUBLISH Wim Coekaerts, Oracle
>> From theCUBE studios in Palo Alto and Boston, connecting with thought-leaders all around the world, this is a Cube Conversation. >> Hi everybody, this is Dave Vellante. Welcome to this Cube Conversation. We're really excited to have Wim Coekaerts in, he is the senior vice-president of software development at Oracle. Wim, it's great to have you on, and, you know I often say I wish we were face-to-face but if we were you'd have to cut off my tie, cause developers and ties just don't go together. >> No, I know, and this is my normal outfit, so this is me wherever I go. Hi again, good to see you. >> Yeah, great to see you. So, of course, you know a lot of people are confused about Oracle, and open-source, they say "Oracle? Open-source? What is that all about?" But I think you're misunderstood. People don't, first of all, realize you as the leader of the software-development community inside of Oracle, I mean, you've been involved in Linux since the early 90s. But you guys have a lot of committers, you do a lot. I want to talk about that. What is up with Oracle, and open-source? >> Ah, well, it's a broad question. So, you know, a couple of things. One is, we have many different areas within the company that are dealing with open-source. So we have the cloud team doing a lot of stuff around cloud SDKs and support for different languages like Python and Go, and of course Java and so forth, so they do a lot around ensuring that the Oracle ecosystem is integrated in the open-source tools that customers use, or developers use, Terraform companies and so forth. And then you have the Java team, and so forth. Java is open-source and then the Graal project, GraalVM which is a polyglot compiler that can run Java, and Python, and Javascript and so forth together in one. VM do really cool optimizations, that's an open-source project, also on GitHub. There's of course MySQL, which is along with Java, they're probably the two most popular and widely used open-source projects out there. There's VirtualBox which is of course also a very popular project that's open-source. There's all the work we do around Linux. And I think one of the things is that, when you have so many different areas, doing things that are for that area, then as a developer or as a customer, you typically just deal with that group. And what you see is, oh you're talking to the Java developers, so you know what's going on around Java. The Java developers might not necessarily say, "Oh well we also do MySQL, and we do Linux and VirtualBox and so forth," and so you get a rather myopic, narrow view of the larger company. When you add all these things up, and there will be one big slide that says "This is Oracle, these are all these open source projects," and there's multiple ways. One is, we have projects that we've open-sourced and all the code came from us and we made it publicly available, we're the main contributor and we get contributions back. There are other projects where we contribute to third-party in terms of enhancing things, like I said with the Cloud Team, and then in general something like Linux where we're part of an external project and we participate in development of that project at large. And so there's these three different ways, when you count up all the developers that we have that deal with open-source on a daily basis. And in terms of contributions, in terms of bug fixes, testing, and so forth, it's thousands, literally, full-time paid developers. And of course, all the projects are all either on GitHub or similar sites that are very popular. So yeah, I think the misunderstood is probably a lack of knowledge of the breadth of what we do. And, you know, our primary goal is to provide services and products to customers, and so the open-source part is sort of embedded in a development methodology. But that's not something we sell or market separately, we just work with customers and products and services, and so in some cases it's not well-understood. >> Yeah. Well, we're talking of course, we're talking about the state of the penguin, I think it's important for people to understand, Oracle got into the Linux game in the 90s, maybe the latter part of the 90s and Oracle, of course, wants to make Linux-- wants to make Oracle, it's applications and database run better on Linux, but as you're pointing out, your Linux distro, full support, end-to-end, thousands of people in your open-source community, and the contributions that you make to Linux, many if not most, they go upstream, everybody can benefit from those, but of course you want an Oracle distro that is going to make Oracle stuff run better, that's always kind of been the Oracle way. >> Well, so, yes, two things though. One is, so everything we do is upstream. So we have no Linux patches that are not contributed upstream; There's no proprietary code in Oracle Linux at all, it's all completely open, publicly available: the source code, the change log, all the commits, it's fully open and public, which sometimes is not well-understood, but it's completely open. And, everything we do in terms of feature development or functionality or bug fixes goes upstream to the Linux kernel mail-list. It's actually, it's the only way to be able to manage a Linux distribution and be a Linux vendor is to live in that eco-system. Otherwise, the cost of maintaining your own fork, so to speak, is very high and it doesn't really solve the problem. Now, the functionality we work on obviously is focused on making Oracle products run better, making Oracle Cloud run better, and so forth. However, again, what's important to understand, though, is an Oracle database is a program running on an operating system. It does IO, it does networking, it deals with memory management, lots of processing. So, for the most part, the things that we work on to improve that helps everyone out, right? It helps every other database run better, or helps every other language run better. So none of these changes are specific to Oracle, they're just things that we found doing performance benchmarks and testing and so forth, where we say "Hey, if Linux did the following, it would make boot-up faster. Now boot-up has nothing to do with the database. But our customers run on 1-terabyte, 4-terabyte, 8-terabyte systems, and so booting up, and Linux starting up, and cleaning up memory takes a long time. So we want to reduce that from an availability point of view. So here, we're now talking about just enterprise for you. So there's this broad set of things we work on that definitely help us, but they're actually really completely generic and help everyone out. >> Yeah, that's great. So I wanted to kind of get that out of the way and help our audience understand that. So let's get into it a little bit; What are you seeing, what's going on in IT, pick your observation space and your vision of what you see happening out there. >> Well, you know, it's very interesting, it's sort of, there's two... there's sort of two worlds, right, there's the cloud world and the move to cloud, and there's the on-premises world, where people run their systems on their own. And, one of the things that we've learned is, when you talk about machine-learning, obviously, is something that's very popular these days, and automation. And so in order to rely on machine-learning well, and have algorithms that are very effective, you need lots of data. And so being a cloud vendor, and having Linux in our cloud on tens of thousands, or hundreds of thousands of servers, or more, allows us to have a view of how an operating system works across an incredibly large scale. So we get lots of data. And so for us to figure out which algorithms work well in terms of how can we do network optimizations, how can we discover anomalies on the storage site, and deal with it and so forth, we can do that at scale. And what's interesting is, how do we then bring that on-prem? Well, if we can get the data and the learning done, the training done, in our cloud directly, then when we provide that service also for people running Oracle Linux on premises then that will work. The alternative is to have point solutions where you provide something to a customer, and he needs to learn something from small amounts of data. That doesn't work so well. So I think having both worlds, on-prem and cloud directly, allows us to kind of benefit from that. And I think that's important, because lots of customers are interested in going to cloud. Many of the enterprises have not yet. You know, they're starting, but there's still a huge on-premises space that's important. And so by being able to get them familiar with how these things work at scale, autonomy is again important, right, Autonomous Database is incredibly popular and so forth, that allows us to then say, "Here, try these things out here, it's a service. We can show you the benefits right away," and then as that improves we bring that, to a certain extent, on-premises as well. And then they can have it in both places. And that, I think, is something, again, that's relatively unique but also very important, is that we want to provide services and products that act similarly on-premises as well as in cloud, because at some point when people move we want to make that transition seamless. And what you have today for the most part is one world that's on-prem, and then the cloud world is completely different. And that is a big barrier of moving, and so we want to reduce that, we can run the same operating system local as well as cloud, you can the same functionality, and then that helps transition people over much easier. >> Yeah, well Oracle actually was one of the -- I think Oracle was the first company to actually market same-same, you actually used that term. Others put forth that concept, but Oracle was the first to announce products like Cloud at Customer, that were same-same, now it took some time to actually get it perfected, and get it to market, but the point is, and we've written about this, is Oracle, because of the ascendancy of cloud, flipped and has a cloud-first mentality, and you just kind of referenced that, you just said, "And you can bring that to on-prem." So I wonder if you could talk about that cloud-first mentality, and the impact on hybrid. >> So yeah, I think the cloud-first part is of course in cloud we work on services moreso than products that we deliver. And there's a number of things that are happening. So one is that we obviously continue to provide products to customers, you can download Oracle Linux, you can download the database and what not, you can install it on your own, you can do the traditional way of working. Then in the cloud-world, what typically happens is "Oh, I use a database service. I'm not installing anything, I push a button and I get an IP address and a SQL that connects extremely quickly to the database." And we take care of everything underneath that is on this database. Now, in order to do that, you need a whole infrastructure in place, you need log-in agents, you need a back-end that captures all that stuff, you need monitoring tools, you need all the automation scripts for bringing the service up and monitor it. And so, that takes a lot of time to do right, and we learn a lot by doing this. And so the cloud-first part of these services means that we get to experience this ourselves with direct access to everything. Now taking that service with all of the additional features like autonomy, and bringing that to an on-premises world, we have to make sure we can package that so that all these pieces around it go along with it. And that takes a little bit more time, so we can do everything at the same time. And so what we've done with Autonomous Database is we created everything in Oracle Cloud, we have the whole system running really well, and then we've been able to sort of package that and shrink it into something that can be installed on-premises, but then connected into Oracle Cloud again. And so that way we can get all the telemetry over the metric, and that allows us to scale. Because part of providing a cloud service that runs on-prem in the customer environment is that we need to be able to remotely manage that similar to how that runs in our own cloud. Right, otherwise it doesn't scale. And so that takes a little bit of time, but we've done all that work, and now with Cloud at Customer Database that's really in place. >> Yeah, you really want to have that same cloud experience, whether with on-prem, in the public cloud, hybrid, et cetera. So, I want to explore a little bit more who is using Oracle Linux, and what's the driver for using it. Can you describe maybe some of the types of customers and why they buy? >> Sure, so we started this fourteen years ago, in 2006, October 25th, 2006. I remember that day very well; Penguins on stage and a big launch for Oracle Linux in San Francisco Moscone Center. So, look, the initial driver for Oracle Linux was to ensure that Oracle database customers or Oracle product customers had a good operating system experience, and the ability to be able to handle critical issues when that occurs, because typically a database runs the company's critical data: the most essential stuff that a company has is typically in a database, an Oracle database. And so when that thing has issues with the operating system, you don't want just to talk to multiple vendors and have finger-pointing, and having to explain to an operating system vendor how the database works. In the Unix world, we had a good relationship with the OS vendors, and the hardware vendors, they were the same. And they knew our products really well, and in the Linux world, that was very different. The OS vendor basically did not want to understand or learn anything about the products living on top. And so while to a certain extent that makes sense, it's an enterprise world where time is of the essence, and downtime needs to be limited absolutely. We can't have these arguments and such. And that was the driver, initially, for doing Oracle Linux. It was to ensure there was a Linux distribution really backed by us, that we could fix, that we could fully support. That was completely the original intent. And so the early customer base was database customers. Database and middleware. Mostly database. But that has then evolved quickly, and so what happened was, people say "Look, I have a thousand servers, a hundred run Oracle, so we'll run Oracle Linux on those hundred, and we'll run something else on those other nine-hundred." Now after a year or so, they realize that our support is really good; We fix all these issues, and so then they're like "Why are we having two Linux distributions? This thing works really well, it runs any application, it's fully compatible, so we'll do a thousand with Oracle Linux." And so the early days, the first few years, was definitely Oracle Database as the core driver, and then it sort of expanded to the rest of the estate. And over the years, we've added lots of features and functionality, like Ksplice, and so forth. We have an attractive pricing model for running on servers, and so now lots of our customers have a very small Oracle percentage running and many other things running. So it's really become a all-or-nothing play in the Linux space, and we're well-known now, so it's actually very good. >> You just mentioned Ksplice. We've been talking about cloud, and on-prem, and hybrid. Let's talk about security, because security really is a differentiator, particularly if you're going to start to put stuff in the cloud. Talk about Ksplice specifically, but generally security and your policy there. >> So, "Security first" is sort of what you hear us say and do, in everything we do. The database obviously security, on the Linux site security matters. Ksplice as a technology is there to do critical bug-fixing and make sure that we can apply security vulnerability fixes without affecting the customer, and not have downtime. And if you look at most of the cases or many of the cases where you have security vulnerabilities and exploits, it tends to be because systems were not patched. Why were they not patched? Well not that our customer doesn't understand that it's important, but it's a whole train of events that needs to happen. You have to, you get notified that there's a security issue in your operating system or application. Then, well, an application typically means it's a multi-layered setup. So if you have to bring your database server down, then you first have to coordinate with the application users to bring the app server down, cause that talks to the database. So to patch one system, you basically have to bring down the whole application stack. You have to negotiate with the DBAs, you have to negotiate with the app admins, you have to negotiate with the user. It takes weeks to do that and find time. Well during that time, you're vulnerable. So the only way, really, to address security in a scalable and reducing that window of time is to do it without affecting the customer. And so Casewise is something that, it's a company we acquired in 2009, and have since evolved in terms of capabilities, and so it allows us to patch the Linux terminal without downtime. We lock the kernel for 8 microseconds. It's literally no downtime. You don't have to bring down applications, the user doesn't see it, there's no hang, there's no delay. And so by doing that, you can run a Linux operating system, or gLinux, and you can be fully patched on a system that hasn't rebooted for 3 years. You don't even know it. And so by doing that type of stuff, it makes customers more secure, and it avoids them-- It saves them a lot of money in terms of dealing with project management and so forth, but it really keeps them secure. And so we do that for the Linux kernel, we do that for some of the libraries on top that are critical like OpenSSL and 2 LVC, and, you know one example-- I can give you two examples. So one example is, Heartbleed was this bug in OpenSSL a number of years ago. And so everyone had to patch their SSH server. And that meant, basically, systems around the world had to reboot. Like a whole IT reboot across the world. With Ksplice today, if Heartbleed were to happen tomorrow, we would be able to patch this online for all the Oracle Linux customers without any downtime. No reboots, no restarting of applications, everything keeps running. The amount of money saved would be massive, and also, of course, the headache. Another example is, and this was in Oracle Cloud, when some of these CPU bugs that happened a few years ago that were rather damaging on the cloud side, where you could basically see memory potentially of other CPUs running, the cloud is incredibly critical. We were basically able to basically patch our entire cloud in four hours. And the customer didn't know, right, a hundred and twenty million patches, or something, that we applied within four hours, all online, without any downtime. And so that technology has been really helpful, both for us to run our cloud, but the exact same patches and same fixes go to customers on-premises as well. But this comes back to the whole, what we do in cloud we also do for customer. And I think that's a unique thing that we have at Oracle which is quite fascinating. The operating system we run for our customers, the operating system that's the host part of VMs, is the exact same binary and source code that we make available, just to be clear, the exact same binaries are the ones that you run as a customer on-premises. So if you run Oracle Linux with KVM, you run VMs, you're actually running the exact same stuff as we run underneath our customer's stuff. Nobody else does that, everyone else has a black box. So I think that helps a little bit with transparency as well. >> Yeah, and that homogeneity just creates an environment, you're talking about that sort of security mindset, it's critical, you're not just bolting it on, it's part of the culture. But you started your career, and then of course you were a Linux person when you came to Oracle, but then I think you spent some time in database, back in the day when there were serious database wars going on, before Oracle became the king of database. So now you've got, obviously, this great portfolio, and a lot of really sharp software developers; What should we expect going forward, from Oracle? What should we look for? >> You know, I was talking to some, I was welcoming some interns to the company, for their summer internship yesterday, and one of the things I mentioned to them was that -- so cloud obviously gives us a lot of opportunities, but there's a number of things. One is, we have such a breadth of applications and software and hardware together. We have the servers, we have the storage, we have the operating systems, we have the database layer and so forth, and we have the cloud side, and one of the great opportunities, and I think we've shown a lot of this happening with the ability to create something like Autonomous Database, is to combine all these things. Right, we have such a broad portfolio of really cool technology that by itself is okay, but if you combine the things it really becomes awesome. You cannot create autonomous database without having autonomous learning. You cannot create those two and make them really safe without also controlling the firmware on the hardware and so forth. So by being able to combine all these layers, and by having a really great relationship across the teams within the company, that opens up a lot of opportunities to do stuff really quickly. And having the scale for that. I think that has been, for the last few years, a really great thing, but I can see that being one of the advantages that we have going forward. We have Oracle Fusion Applications, which is incredibly popular, and has great girth, and then we have that running on Oracle Cloud, that talks to Oracle Autonomous Database, so we bring all these pieces together. And no other SaaS vendor can do that, because they don't have these other pieces. They have one area, we have all of them. And so that's the exciting part for me, it's not so much about making my own world better, and having Linux be better, and Casewise and so forth, which is important, but that becoming part of the bigger picture. And that's the exciting part. >> Well, Oracle's always invested in RND, we've made that point many, many times. Whether it's database, you know Fusion was a painful but worthy effort, the whole public cloud piece, obviously many acquisitions, but the investments that you've made in open-source as well, Wim, you're a great spokesperson, and a great representative of the open-source community generally, and then Oracle specifically, so thanks very much for coming on theCUBE and sharing with us the state of the penguin, and best of luck. >> You're welcome. Thank you, thanks for having me. >> Alright, and thank you for watching, everybody. This is Dave Vellante for theCUBE. We'll see you next time. (cheerful music).
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the world, this is a Cube Conversation. Wim, it's great to have you on, is my normal outfit, so So, of course, you know a lot of people and so the open-source part is sort of and the contributions the things that we work on to improve that get that out of the way and the move to cloud, and get it to market, but the point is, And so that way we can in the public cloud, hybrid, et cetera. And so the early customer to put stuff in the cloud. and also, of course, the headache. back in the day when there We have the servers, we have the storage, acquisitions, but the investments Alright, and thank you
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Wim Coakerts, Oracle | CUBE Conversation, May 2020
>> Announcer: From theCUBE Studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is a Cube Conversation. >> Hi everybody, this is Dave Vellante and welcome to this Cube Conversation. Really excited to have Wim Coekaerts and he is the senior vice president of software development at Oracle. Wim, it's great to have you on. And you know what I often say I wish we were face to face but if we were you'd have to cut off my tie 'cause developers and ties just don't go together. >> No, I know, and this is my normal outfit so this is me, wherever I go. Hi again, good to see you. >> Yeah, great to see you. So of course, you know a lot of people are confused about Oracle and open source. They say, Oracle, open source? What is that all about? But I think you misunderstood. People don't first of all realize you as the leader of the software development community inside of Oracle, I mean, you've been involved in Linux since the early '90s but you guys have a lot of committers. You do a lot, I want to talk about that. What is up with Oracle and open source? >> Well, it's a broad question. So you know, a couple of things. One is we have many different areas within the company that are dealing with open source, right? So we have the cloud team doing a lot of stuff around the cloud SDKs and support for different languages like Python and go and of course Java and so forth. So they do a lot around ensuring that the Oracle ecosystem is integrated in the open source tools that customers use, or developers use Terraform, so on and so forth. And then you have the Java team, and so of course Java is open source. And then, the Graal project, GraalVM, which is a polyglot compiler that run Java and Python and JavaScript and so forth together in one VM, do really cool optimizations, that's an open source project. Also on GitHub, there's of course MySQL which is along with Java, they're probably the two most popular and widely used open source projects out there. There's VirtualBox which is of course also a very popular project that's open sources is all the work we do around Linux. And I think one of the things is that when you have so many different areas doing things that are for that area, then as a developer or as a customer, you typically just deal with that group and what you see is, oh, you're talking to the Java developers so you know what's going on around Java. The Java developers might not necessarily say, oh, and we also do MySQL and we do Linux and VirtualBox and so forth. And so you get sort of a rather myopic narrow view of the larger company. When you add all these things up and there would be one big slide that says, "This is Oracle, these are all these open source projects there". And there's multiple ways, right? One is we have projects that we've opened sourced and all the code came from us and we made it publicly available. We are the main distributor and we get contributions back. There are other projects where we contribute to third party in terms of enhancing things, like a separate the cloud team. And then in general, something like Linux where, you know, we're part of an external project and we participate in the development of that project at large. And so there's these three different ways when you count up all the developers that we have that deal with open source on a daily basis and in terms of contributions, in terms of both Pyxis testing and so forth, it's thousands, literally, full time developers. And of course all the projects is on GitHub or similar sites that are very popular. So yeah, I think the misunderstood is probably a lack of knowledge of the breadth of what we do. And our primary goal is to provide services and products to customers. And so the open source part is sort of embedded in the development methodology, but that's not something we sell or market separately. We just work with customers and products and services. And so in some cases it's not well understood. >> Yeah, well, we're talking, of course we're talking about the state of the Penguin. I think it's part of what people understand. I mean, Oracle got into the Linux game, in the '90s, maybe the latter part of the '90s and Oracle of course wants to make Linux, wants to make Oracle its applications and database run better on Linux. But as you're pointing out you're Linux distro, full support, end-to-end, thousands of people in your open source community and the contributions that you make to Linux, many if not most, they go upstream, everybody can benefit from those. But of course you want an Oracle distro that is going to make Oracle stuff run better. That's always kind of been the Oracle way. >> Well, so yes, two things. The one is that, so everything we do is upstream. So we have no Linux patches that are not contributed upstream. There's no proprietary code in Oracle Linux at all. It's all completely open, publicly available. The source code, the change log, all the commits, everything. It's fully open and public, which sometimes is not well understood, but it's completely open. And everything we do in terms of feature development or functionality or bug fixes goes upstream to the Linux kernel mailers. It's actually, it's the only way to be able to manage a Linux distribution and be a Linux vendor is to live in that ecosystem. Otherwise, the cost of maintaining your own forks so to speak is very high and it doesn't really solve problems. Now the functionality we worked on obviously is focused on making Oracle products run better, making Oracle cloud run better and so forth. However, again, what's important to understand though is an Oracle database is a program running on an operating system that does IO, it does networking, it does memory, it deals with memory management, lots of processes. So for the most part, the things we work on to improve that, helps everyone out, right? It helps every other database run better or it helps every other language run better. So none of these changes are specific to Oracle. They're just things that we found doing performance benchmarks and testing and so forth. But we say, "Hey, if Linux did the following, it would make boot up fast." Now boot up has nothing to do with the database. But if our customers run on one terabyte, four terabyte, eight terabyte systems, and so booting up and Linux starting up and cleaning up memory takes a long time. So we want to reduce that from an availability point of view. So here we're now talking about just enterprise, right? And so there's this broad set of things we work on that definitely help us, but they're actually really completely generic and help everyone customer. >> Yeah, that's great, good. So I wanted to kind of get that out of the way and help our audience understand it. So let's get into it a little bit. What are you seeing, what's going on in IT? Pick your observation space and your vision of what you see happening out there? >> Well it's very interesting. There's sort of two worlds, right? There's the cloud world and move to cloud and there's the on-premise world where people run their systems on their own. And one of the things that we've learned is, when you talk about machine learning obviously is something that's very popular these days and automation. And so in order to rely on machine learning well and have algorithms that are very effective, you need lots of data. And so being a cloud vendor and having Linux in our cloud on tens of thousands or hundreds of thousands of servers or more allows us to have a view of how an operating system works across incredibly large scale. So we get lots of data and so for us to figure out which algorithms work well in terms of, how can we do network customizations, how can we discover anomalies on the storage side and deal with it and so forth, we can do that at scale. And what's interesting is how do we then bring that to on-prem? Well, if we can get the data and the learning done the training done in our cloud directly, then when we provide that service also to people running Oracle Linux on-premises, then that will work. The alternative is to have point solutions where you provide something to a customer and he needs to learn something from small amounts of data. That doesn't work so well. So I think having both worlds on-prem and cloud directly allows us to kind of benefit from that. And I think that's important because lots of customers are interested in going to cloud. Many of the enterprises have not yet, you know, they're starting, but there's still a huge on-premises space that's important. And so by being able to get them familiar with how these things work at scale, autonomy is again important, right? Autonomous database is incredibly popular and so forth. That allows us to then say, "Here, try these things out here. "It's a service, we can show you the benefits right away". And then as that improves, we bring that on to a certain extent on-premise as well and then they can have it in both places. And that I think is something, again, that's relatively unique but also very important is that we want to create an... we want to provide services and products that act similarly on-premises as well as the cloud. Because at some point when people move, we want to make that transition seamless. And what you have today for the most part is one world that's on-prem and then the cloud world is completely different and that is a big barrier of moving. And so we want to reduce that. You can run the same operating system local as well as cloud, you can get the same banality and then that helps transition people over much easier. >> Yeah, well, Oracle actually was one of the... I think but Oracle was the first company to actually market same-same, you actually use that term. Others put forth that concept, but Oracle was the first to announce products like cloud to customer that was same-same now it took some time to actually get it perfective and get it to market. But the point is, and we've written about this is that Oracle, because of the ascendancy of cloud flipped and has a cloud first mentality and you just kind of referenced that you just said, "And you can bring that to on-prem". So I wonder if you could talk about that cloud first mentality and the impact on hype? >> So yeah, I think the clouds first part is of course in cloud we work on services more so than products that we deliver and there's a number of things that are happening. So one is we obviously continue to provide products across you can download Oracle Linux, you can download the database in web blog, you can install it on your own, right? You can do to the traditional way of working. Then in a cloud world, what typically happens is, oh, I use a database service. I'm not installing anything. I push a button and I get an IP address and a SQL, and a connect string and connect to a database. And we take care of everything underneath the database. Now, in order to do that, you need to hold infrastructure in place, right? You need lugging agents, you need a backend that captures all that stuff, you need monitoring tools, you need all the automation scripts for bringing this service up and monitor it. And so that takes a lot of time to do, right? And we learned a lot by doing this. And so the cloud first part of the services means that we get to experience this ourselves with direct access to everything. Now taking that service with all of the additional features like autonomy and bringing that to an on-premises world, we have to make sure we can package that so that all these pieces around it go along with it. And that takes a little bit more time, so we can't do everything at the same time. And so what we've done with autonomous database is we created everything in Oracle cloud, you have the whole system running really well. And then we've been able to sort of package that and shrink it into something that can be installed on-premises but then connected into Oracle cloud again. And so that way we can get all the telemetry, all the metrics, and that allows us to scale because part of providing a cloud service that runs on-prem in the customer environment is that we need to be able to remotely manage that, similar to how we manage something that runs in their own cloud, right? Otherwise it doesn't scale. And so that takes a little bit of time, but we've done all that work and now we've got our customer database that that's really in place. >> Yeah, you really want to have that same cloud experience, whether it's on-prem, in the public cloud, hybrid, et cetera. So I want to explore a little bit more. Who is using Oracle Linux and what's the driver for using it? Can you describe maybe some of the types of customers and why they buy? >> Sure, so we started 14 years ago, right? 2006, October 25th, 2006 (giggles). I remember that day very well. Penguin's on stage and a big launch for Linux in San Francisco Moscone Center. So look, the initial driver for Oracle Linux was to ensure that Oracle database customers or Oracle product customers had a good operating system experience, right? And the ability to be able to handle critical issues when that occurs because typically a database runs the company's critical data. The most essential stuff that a company has is typically in a database, in Oracle database. And so when that thing has issues with the operating system, you don't want just to talk to multiple vendors and have finger pointing and having to explain to an operating system vendor how the database works. In the Unix world, we had a glitch relationship with the OS vendors and the hardware vendors. They were the same. And they knew our products really well, and in the Linux world that was very different. The OS vendor basically did not want to understand or learn anything about products living on top. And so, while, to a certain extent, that makes sense. It's an enterprise world where time is of the essence and downtime needs to be limited absolutely. We can't have these arguments and such. And so that was the driver initially for doing Oracle. So it was to ensure there was a Linux distribution really backed by us that we could fix and we could fully support, right? That was completely the original intent. And so the early customer base was database customers. Database and middleware, mostly database. So but that has then evolved quickly, and so, (clears throat) sorry. What happened was, people would say, "Look, have a thousand servers, a hundred run Oracle, "so we'll run Oracle Linux on those hundred "and we run, something else on those other 900." Now after a year or so, they realized that our support was really good. We fixed all these issues and so then they're like, "Why are we having two Linux distributions? "This thing works really well. "It's runs any application, it's fully compatible. "So we'll just go a thousand with Oracle Linux". And so the early days, the first few years was definitely Oracle database as the core driver and then it sort of expanded to the rest of the estate. And over the years (clears throat), we've added lots of features and functionality, like Ksplice and so forth. We have an attractive pricing model for running on servers. And so now lots of our customers have a very small Oracle percentage running and many other things running. So it's really become a all or nothing play in the Linux space and we're well known now, so it's been actually very good. >> You just mentioned Ksplice. I mean, we've been talking about cloud and on-prem and hybrid and let's talk about security because security really is a differentiator but particularly if you're going to start to put stuff into the cloud. Talk about Ksplice specifically, but generally security and your policy there. >> So security first is sort of what you hear us say and do in everything we do, right? The database obviously security on the Linux side, security matters, Ksplice as the technology is there to do critical bug fixing and make sure that we can apply security vulnerability fixes without affecting the customer and not have downtime, right? And if you look at, most of the cases or many of the cases where you have security vulnerabilities and exploits, it tends to be because systems were not patched. Why were they not patched? Well, not that a customer doesn't understand that it's important, but it's a whole train of events that needed to happen. You have to get notified that there's a security issue in your operating system or application. Then, well, an application typically means it's a multi-tiered set up. So if you have to bring your database server down, then you first have to coordinate with the application users to bring the app server down because that talks to the database. So to patch one system, you basically have to bring down all application stacks. You have to negotiate with the DBAs, you have to negotiate with the app admins, you have to negotiate with the user. It takes weeks to do that and find time. Well, during that time you're vulnerable. So the only way really to address security in a scalable way and reducing that window of time is to do it without effecting the customer, right? And so Ksplice is something that... It's a company we acquired in 2009 and have since evolved in terms of capabilities. And so it allows us to patch the Linux kernel without downtime, right? We lock the kernel for a microsecond, so it's literally no downtime. You don't have to bring down applications. The user doesn't see it. There's no hang, there's no delay. And so by doing that, you can run the Linux operating system, Oracle Linux, and you can be fully patched on a system that hasn't rebooted for three years and you don't even know it. And so by doing that type of stuff, it makes customers more secure and it avoids them... It saves them a lot of money in terms of dealing with project management and so forth, but it really keeps them secure. And so we do that for the Linux kernel. We do that for some of the libraries on up that are critical, like OpenSSL and glibc and one example, I can give you two examples. So one example is Heartbleed was this bug in OpenSSL a number of years ago and so everyone had to patch their SSH server. And that meant basically, systems around the world had to reboot, like a whole active reboot across the world. With the Ksplice today if Heartbleed were to happen tomorrow, we would be able to patch this online for all the Oracle Linux customers without any downtime. No reboots, no restarting of applications, everything keeps running. The amount of money saved would be massive, right? And also of course, the headache. Another example is, (clears throat) and this was an Oracle cloud when some of these CPU bugs that happened a few years ago that were rather damaging on the cloud side, right? Where you could basically see memory of potentially of other machines running that the cloud it's incredibly critical. We were basically able to patch our entire cloud in four hours and the customer didn't know, right? 120 million patches or something that we applied within four hours all online without any down time. And so that technology has been really helpful both for us to run our cloud, but the exact same patches and same fixes go to customers on-premises as well. But this comes back to the whole what we do in cloud, we also do for customer, and I think that's a unique thing that we have at Oracle, which is quite fascinating, right? The operating system we run for our customers, the operating system that's the host for the VM is the exact same binary and source code that we make available, just to be clear. The exact same binaries are the ones that you run as a customer on premises. So you run Oracle Linux with KVM, you run VMs, you're actually running the same stuff as we do for our... That we run underneath our customer stuff. Nobody else does that. Everyone else has a black box. So I think that helps a little bit with transparency as well. >> Yeah, and that homogeneity just creates an environment you're talking about sort of the security mindset is critical. You're not just bolting it on, it's part of the culture. Look, you were, you know, started your career, and then of course you were a Linux person when you came to Oracle, but then I think you've spent some time in the database back in the day when there were some serious database wars going on before Oracle, became the king of database. So now you've got obviously this great portfolio and a lot of really sharp software developers. What should we expect going forward from Oracle? What should we look for? >> I was welcoming some interns to the company, (clears throat) for their summer internship yesterday. And one of the things that I, (clears throat) I'm sorry. One of the things I mentioned to them, was that one of the... So cloud obviously gives us a lot of opportunities, but there's a number of things. One is we have such a breadth of applications and software and hardware together, right? We have the servers, we have the storage, we have the operating systems, we have the database layer and so forth, and we have the cloud side. And one of the great opportunities and I think we've shown a lot of this happening with the ability to create something like autonomous database is to combine all these things, right? We have such a broad portfolio of really cool technology that by itself is okay, but if you combine the things, it really becomes awesome, right? You cannot create autonomous database without having autonomous Linux, right? You cannot create those two and make them really safe without also controlling the firmware on the hardware and so forth. So by being able to combine all these layers and by having a really great relationship across the teams within the company, that opens up a lot of opportunities to do stuff really quickly and having the scale for that. I think that has been for the last few years a really great thing but I can see that being one of the advantages that we have going forward, right? We have Oracle Fusion Applications, which is incredibly popular and has great growth. And then we have that running on Oracle cloud that talks to our autonomous database. So we bring all these pieces together and no other SaaS vendor can do that because they don't have these other pieces. They have one area, we have all of them. And so that's the exciting part for me is basic... It's not so much about making my own world better and having Linux be better and Ksplice and so forth, which is important, but that becoming part of the bigger picture. And that's the exciting part. >> Well, Oracle has always invested in R&D. We've made that point many many times, whether it's database, fusion was a painful but worthy (giggles) effort. The whole public cloud piece, obviously many acquisitions but the investments that you've made in open source as well. Wim, you're a great spokesperson and a great representative of the open source community generally, and an Oracle specifically. So thanks very much for coming on theCUBE and sharing with us the state of the Penguin. The best of luck. >> You're welcome. Thank you, thanks for having me. >> All right, and thank you for watching everybody. This is Dave Vellante for theCUBE. We'll see you next time. (soft music)
SUMMARY :
leaders all around the world. and he is the senior vice president Hi again, good to see you. So of course, you know a lot of people And so the open source part and the contributions So for the most part, the things get that out of the way and the learning done the training done and the impact on hype? And so that way we can get of the types of customers And the ability to be able and your policy there. and make sure that we can apply and then of course you were a Linux person We have the servers, we have the storage, of the open source community generally, You're welcome. We'll see you next time.
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Shira Rubinoff | RSAC USA 2020
>>Hi from San Francisco, it's the cube covering RSA conference, 2020 San Francisco, brought to you by Silicon angle media. >>You're welcome back. You're ready. Jeff Frick here with the cube. We are wrapping up Wednesday here at RSA 2020 Moscone center. It's the year we know everything. It's women in tech Wednesday and we're really excited that our next guest, she's been coming to the show for a very, very long time. She's really dialed into the community. She's an author. I got the whole as author, advisor, consultant, speaker. I could go on and on and on as you share. Rubinoff Shira, great to see you and welcome back to the cube. Oh, thank you so much. Pleasure to be here. Again, RSA 2020. A lot of kind of crazy stuff going on. The little coronavirus, you know, kind of impact, which is really interesting coming off of mobile world Congress, being in the event space and kind of seeing how this is gonna shake out. But the theme this year is the human element, which, uh, kind of plays right into your strengths. >>So just first get your kind of impressions of the show and really kind of that theme and kind of your take on why that's an important theme for RSA this year? >> Well, I think the human element has always been at the forefront. It's just now becoming accepted and put at the beginning of what people are really talking about. We talk about the people, the process and the technology all the time. When it comes to practice, everyone's really been focused on the security and the technology, but they forget the human elements and RSA this year is really focused on the human element being at the forefront. We have to realize there's a human creating the technology, a human at the end of the truck. Technology is trying to help and the glue between the process, how it all intersects together really depends on how people embrace it. And that was actually the premise for my book cyber Myers. >>So a plug for the book plug for the book cyber minds is a, a book is I view cybersecurity as the umbrella over all other technology. You need cybersecurity intersected in some way when you're dealing really with anything. But the human element really takes the forefront. So I really talk about cybersecurity and cyber hygiene and cyber elements within the book and cyber hygiene. I broke down into four categories which are training and that's ongoing training from the top down, being from the border and all the way down to the intern. Global awareness with an organization, keeping that culture going, a security and patching and digital transformation within the organization as well as zero trust. And I take that and I really continue with it throughout the book when we talk about blockchain, artificial intelligence, internet of things and cyber warfare and really showing how the human element is an integral part of everything we're doing in order to protect ourselves as a, as people, as an organization and just all support friends and sharing of information now is being, is completely critical. And it's being done because of that human element piece that's being embraced and understood >> lot a lot there. Right? So the human over the string, right? So it used to be per T E Z to identify a phishing attack. Right. You know, bad grammar and everything. A little bit of context and >>maybe the vocabulary wasn't quite right. That's not the way anymore. The sophistication of these attacks, the phishing attacks specifically at a friend in the, in the, in the real estate business, you know, and it was, it was an email from a banker that he does business with at a bank that he does business with around the transaction that he had knowledge about and doing a wire transfer. And it just was slightly mistimed where he, where he called the banker, his buddy and said, you know, did you, did you send this? So, you know, in the age of deep fakes, which is barely beginning in the age of this war, advanced AI for them to really put together these packages, um, and really infinite bandwidth, time and money. If you're really trying to pervade, I mean, how will the role of the human shift, you know, can we really expect them even with ongoing training to be sophisticated enough to keep up with these attacks? >>Well, I think it also boils down to real world examples and we have to really understand the demographics that we're working for. I think today it's the first time really in history that we have four generations working side by side in the workforce, so we have to understand that people learn differently. Training should be adjusted to the type of people that we're teaching, but fishing doesn't just boil down to clicking on links. Fishing teaches. Also, it boils down to tricking somebody, getting someone's trust, and it could come in many different forms. For example, think of social media. How do people connect? We're connecting for us social media on many different platforms. I'll give a very easy example. LinkedIn. LinkedIn is a business platform. We're all connected on LinkedIn. Why we connect on LinkedIn, because that's a social platform that people feel safe on because we're able to connect to each other in a business form. >>However, think of the person who's getting the first job with an organization, their first job in maybe their project manager and they're working for bank, a excited to be working for bank gay. Hey, I'm the list all the projects I'm working for. So here's now my resume on LinkedIn. I'm working on project a, B, C, D, and this is my manager I report to. Perfect. There's some information sitting there on LinkedIn. Now what else I will tell you is that you might have somebody who looking to get into that bank. What will they do? Let's look for the lowest hanging fruit. Ooh, this new project manager. Oh, I see. They're working on these projects and they're reporting into someone. Well, I'm not a project manager. I'm a senior project manager from a competing bank. I'm going to be friend them and tell them that I'm really excited about the work they're doing. So you're their social engineering your way into their friendship, into their good graces, into their trust. Once somebody becomes a trusted source, people share information freely. So people are putting too much information out there on social trusting to easily opening the door for more than a phishing attack. And things are just rapidly going out of control. Right. >>Well, it's funny. So one of my other favorite women in cyber is Rachel Tobik. Back, I don't know if you know Rachel, but she's famous for, you know, kind of live hacking at black hat, all social engineering, calling people up and just getting through and you know, she says she's basically undefeated. Um, this >>way if you're about the human elements, why do people act quickly? The biggest problem is people don't stop and pause. So if you think about, my background also is in psychology, psychology and business. So when you deal about the human element, it's panic. Let's set panic in. When you set panic in on a personal nature, people are quick to respond and quick over to give over information. If they feel it's pertinent to them, calling someone quickly, Hey your babysitter called, I need your social or anything like that. Set somebody into a spin. They're very quick to give over information cause they feel personal at risk when it comes to business and the business setting, it may not be as personal that way. That, so they kind of composite about the way people get in as through other social channels in ways that are more personal to individuals. >>So is that, is, is, is more sophistication around the human training element. Really the key as opposed to God knows how many vendors are in this, this building right now. I mean I, I feel so much for the buyer trying to sort it all out. Right? And there's big players in the established solutions that have been around forever. And then of course he get a spice with the startups that are cutting edge and doing new things when in fact all that goes out the window. If I can call the person up and say, you know, your house is on fire, please give me your, your password or your front door. Cause I gotta get the kids out. I mean I'm exaggerating to make a point, but is enough appreciation going into the human factors of training? Not on the technology side, but really the motivators for people to do things, um, to, to, to make, to try to please. Right. That's another great motivator to try to please. >>Well, right. Cause people like to be wanted. They like to be acknowledged. So they like to feel they're doing good. But again, it boils down to the people, the process and the technology. You can't have one without the other. You can't just focus on the people without focusing on the technology. But if you leave them as separate entities and you don't deal with the process in the middle, that glue, you're gonna leave yourself open. So they have to work hand in hand all the time. It's something that's a, it's a one plus one if you'll stand right at that perspective. So yes, you really need all of it together. >>The other thing that we hear over and over and over, right is just zero trust. The whole concept of zero trust. It's been around for a long time, which, which you know, you just assume that the bad guys are going to get in. Right? So then how do you try to find them quicker? How do you try to limit what they can get once they get in? So it's a really different kind of point of view to take a zero trust attitude on the assumption they're going to get it at some point and then try to mitigate the damage after the fact. >>So I look at zero trust from a little bit of a different perspective. I think zero trust is pertinent. Everyone should be using it because again, you're authenticating yourself, you're giving access only to that person for that specific task. But again, in organizations, if they say we're locking down everything all the time because we want to be secure, the employees are going to say, this is ridiculous. We don't have to be locked down for ABC. It makes no difference to us. What I say to organizations that are don't lock down things that don't need to be locked down, and when you do lock down something, it's important to have that three 60 dialogue with your employees. Explain why. Make them part of the solution, not part of the problem. If everyone's saying, Hey, you human, you're the weakest link. >>People are going to take offense at that and say, look, we know what we're doing. But if you make them part of the solution, Hey, we're in this together, let's make this part of the culture and they act as that with an organization you're going to have, they'll kill piece of ness so becomes just an ongoing everyday life living thing. Right. You brought that up. The windy neither from from Cisco is one of the keynotes on the first day and she was phenomenal. The basic, her basic premise was we as an industry have been to a kind of a not inclusive, exclusive like we own everything. We have all the control, we have all the answers, we know everything and her whole gist was no you don't. You don't have the context necessarily to make risk trade offs a benefit trade off. You don't necessarily have the context to see the softer stuff and really what you're saying really embrace everybody as part of the solution as opposed to trying to Creech people to do certain things and do and not do other things. >>I'm a little bit of both, right? Proper balance but also look at organizations today in the past would be, these are our solutions. We found out this Intel, you figure it out on your own and that it wasn't helping anybody. The idea now of sharing of information has become widely embraced certainly in the larger security companies at large and they really understand the value of it. So when I talk about, yes, you do have to lock down certain things and people do have to understand where the end points are, but they also need to understand that they are part of the solution and where the ends in the beginning. Let's shift gears a little bit from the people who back to the machines because the other thing that's happening really, really fast, right? As IOT. Yes, a lot of more edge devices, a lot of sensor devices. >>We saw what happened with, with some of the Alexa devices that was not very, was not very good. Um, so as you talk to your clients and, and, and, and people that read your book, how do you get them to think about IOT? How do you get them to think about this kind of machine to machine though? Of course that five G, which will just accelerate it at a, at a whatever, a hundred X, uh, speed to think about working. That is because we want API to API communication. We want machines to, to interface with each other. We want to remove that kind of human integration point a lot of times. But now you just opening up a boatload more of attack surfaces don't necessarily have the smartest machines is and often they can be compromised in ways that maybe people didn't think through before they connected them onto the internet. >>Well, it's also interesting when you talk about five G, it's not that we can do things at speed that speed, it's also bad actors could do things at that speed sales. So understand the portals of what your connectivity is, your third party software to whose, who has access, where are the access points, how are you going to protect those access points because the speed is that much quicker. We have to be that much more diligent. So yes, they're massive. Haas, really good positives. But there's also some negatives. So if we have to be diligent around those, it can be fabulous, but it could also be really, really dangerous for us. Sure. And it's coming right? It's coming. Right. So give us the, give us the 401 on the book. What's the, you know, kind of the top level themes for people to run out and get this? I saw some great reviews on Amazon. You're selling it upstairs, you know, what are kind of the really key takeaways here? >>Well, the key takeaways are really, again, cybersecurity is the umbrella over all of the technology. When you think of technology, cybersecurity is part of it. And when you look at cyber security, that comes from many different elements. It's not just a technology play, it's also a human element play. And the humans are an essential part of cybersecurity, whether you're securing for or securing too. It's just an interplay of both. So cyber mine's really touches upon all those concepts and all the latest and greatest emerging tech out there, as well as blockchain, AI, IOT, cyber warfare. Uh, think about it. It really just travels through. And I had some really amazing interviews with some top of the minds within the book that really adds tremendous value to it and grateful for them. >>Great. Well, I'm glad to finally get my own copies so I will be able to dig in and next time we talk I'll be digging deep into this book with you and getting a little bit more of that insight. I look forward to hearing your thoughts. Well, thanks. You're, hopefully you can kick your feet up a little bit tonight, but probably not. I'm sure you're busy, busy, busy. Well, thanks for stopping by. All right. She shear. I'm Jeff. You're watching the cube. We're at RSA 2020 at Moscone. Thanks for watching. We'll see you next time.
SUMMARY :
conference, 2020 San Francisco, brought to you by Silicon angle media. Rubinoff Shira, great to see you and welcome back to the cube. It's just now becoming accepted and put at the beginning of what So a plug for the book plug for the book cyber minds is a, So the human over the string, right? how will the role of the human shift, you know, can we really expect them even Well, I think it also boils down to real world examples and we have to really understand the demographics Hey, I'm the list all the projects I'm working for. but she's famous for, you know, kind of live hacking at black hat, all social engineering, So when you deal about the human element, it's panic. If I can call the person up and say, you know, your house is on fire, please give me your, So they have to work hand in hand all the time. So then how do you try need to be locked down, and when you do lock down something, it's important to have that three 60 dialogue You don't have the context necessarily to make the end points are, but they also need to understand that they are part of the solution and where Um, so as you talk to your clients and, and, and, and people that read your book, Well, it's also interesting when you talk about five G, it's not that we can do things at speed that speed, And the humans are an essential part of cybersecurity, whether you're securing for or securing deep into this book with you and getting a little bit more of that insight.
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Masha Sedova, Elevate Security | RSAC USA 2020
>> Narrator: Live from San Francisco It's theCUBE. Covering RSA Conference 2020, San Francisco. Brought to you by Silicon Angled Media >> Hi everyone, welcome to theCUBE's coverage here at RSA Conference 2020. I'm John Furrier, host of theCUBE We're on the floor getting all the data, sharing it with you here, Cube coverage. Got the best new generation shift happening as cloud computing goes to the whole other level. Multi-cloud, hybrid cloud changing the game. You're seeing the companies transition from an on-premises to cloud architecture. This is forcing all the companies to change. So a new generation of security is here and we've got a great guest, so a hot start-up. Masha Sedova, co-founder of Elevate Security. Welcome to theCUBE, thanks for joining us. >> Thank you so much for having me, John. >> So the next generation in what will be a multi-generational security paradigm, is kind of happening right now with the beginning of, we're seeing the transition, Palo Alto Networks announced earnings yesterday down 13% after hours because of the shift to the cloud. Now I think they're going to do well, they're well positioned, but it highlights this next generation security. You guys are a hot start-up, Elevate Security. What is the sea change? What is going on with security? What is this next generation paradigm about? >> Yeah, so it's interesting that you talk about this as next generation. In some ways, I see this as a two-prong move between, yes, we're moving more into the cloud but we're also going back to our roots. We're figuring out how to do asset management right, we're figuring out how to do patching right, and for the first time, we're figuring how to do the human element right. And that's what where we come in. >> You know, the disruption of these new shifts, it also kind of hits like this, the old expression, 'same wine, new bottle', all this, but it's a data problem. Security has always been a data problem, and we've seen some learnings around data. Visualization, wrangling, there's a lot of best practices around there. You guys are trying to change the security paradigm by incorporating a data-centric view with changing the behavior of the humans and the machines and kind of making it easier to manage. Could you share what you guys are doing? What's the vision for Elevate? >> Yeah, so we believe and we've seen, from our experience being practitioners, you can't change what you can't measure. If you don't have visibility, you don't know where you're going. And that's probably been one of the biggest pain-point in the security awareness space traditionally. We just roll out training and hope it works. And it doesn't, which is why human error is a huge source of our breaches. But we keep rolling out the same one-size fits all approach without wanting to measure or, being able to. So, we've decided to turn the problem on its head and we use existing data sets that most organizations who have a baseline level of maturity already have in place. Your end point protections, your DLP solutions, your proxies, your email security gateways and using that to understand what your employees are doing on the network to see if user generated incidents are getting better over time or getting worse. And using that as the instrumentation and the level of visibility into understanding how you should be orchestrating your program in this space. >> You know, that's a great point. I was just having a conversation last night at one of the cocktail parties here around RSA and we were debating on, we talk about the kind of breaches, you mentioned breaches, well there's the pure breach where I'm going to attack and penetrate the well fortified network. But then there's just human error, an S3 bucket laying open or some configuration problem. I guess it's not really a breach, it's kind of an open door so the kind of notion of a breach is multifold. How do you see that, because again, human error, insider threats or human error, these are enabling the hackers. >> Yeah >> This is not new. >> Yeah. >> How bad is the problem? >> It depends on what report you read. The biggest number I've seen so far is something like 95% of breaches have human error. But I honestly, I couldn't tell you what the 5% that don't include it because if you go far enough back, it's because a patch wasn't applied and there is a human being involved there because there is vulnerability in code, that's probably a secure coding practice when you're a development organization. Maybe it's a process that wasn't followed or even created in the first place. There's a human being at the core of every one of these breaches and, it needs to be addressed as holistically as our technologies and our processes right now in the space. >> The evolution of human intelligence augmented by machines will certainly help. >> That's it, yeah. >> I mean, I've got to ask you, obviously you're well-funded. Costanova Ventures well known in the enterprise space, Greg Sands and the team there, really strong, but you guys entered the market, why? I mean you guys, you and your founder both at Salesforce.com. Salesforce gurus doing a lot of work there. Obviously you've seen the large scale, first wave of the cloud. >> Yeah >> Why do the start-up? What was the problem statement you guys were going after? >> So, my co-founder and I both came from the world of being practitioners and we saw how limited the space was and actually changing human behavior, I was given some animated PowerPoints, said use this to keep the Russians out of your network, which is a practical joke unless your job is on the line, so I took a huge step back and I said, there are other fields that have figured this out. Behavioral science being one of them, they use positive reinforcement, gamification, marketing and advertisements have figured out how to engage the human element, just look around the RSA floor, and there's so many learnings of how we make decisions as human beings that can be applied into changing people's behaviors in security. So that's what we did. >> And what was the behavior you're trying to change? >> Yeah, so the top one's always that our attackers are getting into organizations, so, reducing phishing click-throughs an obvious one, increasing reporting rates, reducing malware infection rates, improving sensitive data handling, all of which have ties back to, as I was mentioning earlier, security data sources. So, we get to map those and use that data to then drive behavior change that's rooted in concepts like social proof, how are you doing compared to your peers? We make dinner decisions on that and Amazon buying decisions on that, why not influence security like that? >> So building some intelligence into the system, is there a particular market you're targeting? I mean, here people like to talk in segments, is there a certain market that you guys are targeting? >> Yeah, so the amazing thing about this is, and probably no surprise, the human element is a ubiquitous problem. We are in over a dozen different industries and we've seen this approach work across all of those industries because human beings make the same mistakes, no matter what kind of company they're in. We really work well with larger enterprises. We work well with larger enterprises because they tend to have the data sets that really provides insights into human behavior. >> And what's the business model you guys envision happening with your service product? >> We sell to enterprises and security, the CISO and the package as a whole, gives them the tools to have the voice internally in their organization We sell to Fortune 1000 companies, >> So it's a SAAS service? >> Yeah, SAAS service, yeah. >> And so what's the technology secret sauce? (laughing) >> Um, that's a great question but really, our expertise is understanding what information people need at what time and under what circumstances, that best changes their behavior. So we really are content diagnostic, we are much more about the engine that understands what content needs to be presented to whom and why. So that everyone is getting only the information they need, they understand why they need it and they don't need anything extra-superfluous to their... >> Okay, so I was saying on theCUBE, my last event was at, CIO's can have good days and bad days. They have good days, CISOs really have good days, many will say bad days, >> Masha: Yeah, it's a hard job. >> So how do I know I need the Elevate Solution? What problem do I have, what's in it for me? What do I get out of it? When do I know when to engage with you guys? >> I take a look at how many user generated incidents your (mumbles) responding to, and I would imagine it is a large majority of them. We've seen, while we were working at Salesforce and across our current customers, close to a 40% reduction rate in user generated incidents, which clearly correlates to time spent on much more useful things than cleaning up mistakes. It's also one of the biggest ROI's you can get for the cheapest investment. By investing a little bit in your organization now, the impact you have in your culture and investing in the future decision, the future mistakes that never get made, are actually untold, the benefit of that is untold. >> So you're really kind of coming in as a holistic, kind of a security data plane if you will, aggregating the data points, making a visualization in human component. >> You've got it. >> Now, what's the human touchpoint? Is it a dashboard? Is it notifications? Personalization? How is the benefit rendered for the customer? >> So we give security teams and CSOs a dashboard that maps their organization's strengths and weaknesses. But for every employee, we give personalized, tailored feedback. Right now it shows up in an email that they get on an ongoing basis. We also have one that we tailor for executives, so the executive gets one for their department and we create an executive leaderboard that compares their performance to fellow peers and I'll tell you, execs love to win, so we've seen immense change from that move alone. >> Well, impressive pedigree on your entrepreneurial background, I see Salesforce has really kind of, I consider real first generation cloud before cloud actually happened, and there's a lot of learn, it was always an Apple case, now it's AWS, but it's it's own cloud as we all know, what are the learnings that you saw from Salesforce that you said hey, I'm going to connect those dots to the new opportunity? What's the real key there? >> So, I had two major aha's that I've been sharing with my work since. One, it's not what people know, but it's what they do that matters, and if you can sit with a moment and think about that, you realize it's not more training, because people might actually know the information, but they just choose not to do it. How many people smoke, and they still know it kills them? They think that it doesn't apply to them, same thing with security. I know what I need to do, I'm just not incentivized to do it, so there's a huge motivation factor that needs to be addressed. That's one thing that I don't see a lot of other players on the market doing and one thing we just really wanted to do as well. >> So it sounds like you guys are providing a vision around using sheet learning and AI and data synthesis wrangling and all that good stuff, to be an assistant, a personal assistant to security folks, because it sounds like you're trying to make their life easier, make better decisions. Sounds like you guys are trying to distract away all these signals, >> You're right. >> See what to pay attention to. >> And make it more relevant, yeah. Well think about what Fitbit did for your own personal fitness. It curates a personal relationship based on a whole bunch of data. How you're doing, goals you've set, and all of a sudden, a couple of miles walk leads to an immense lifestyle change. Same thing with security, yeah. >> That's interesting, I love the Fitbit analogy because if you think about the digital ecosystem of an enterprise, it used to be siloed, IT driven, now with digital, everything's connected so technically, you're instrumenting a lot of things for everything. >> Yeah. >> So the question's not so much instrumentation, it's what's happening when and contextually why. >> That's it, why, that's exactly it. Yeah, you totally got it. >> Okay. I got it. >> Yeah, I can see the light bulb. >> Okay, aha, ding ding. All right, so back to the customer pain point. You mentioned some data points around KPI's that they might or things that they might want to call you so it's incidents, what kind of incidents? When do I know I need to get you involved? Will you repeat those again? >> There's two places where it's a great time to involve. Now, because of the human element is, or think about this as an investment. If you do non-investor security culture, one way or another, you have security culture. It's either hurting you or it's helping you and by hurting you, people are choosing to forego investing security processes or secure cultures and you are just increasing your security debt. By stepping in to address that now, you are actually paying it forward. The second best time, is after you realize you should have done that. Post-breaches or post incidents, is a really great time to come in and look at your culture because people are willing to suspend their beliefs of what good behavior looks like, what's acceptable and when you look at an organization and their culture, it is most valuable after a time of crisis, public or otherwise, and that is a really great time to consider it. >> I think that human error is a huge thing, whether it's as trivial as leaving an S3 bucket open or whatever, I think it's going to get more acute with service meshes and cloud-native microservices. It's going to get much more dynamic and sometimes services can be stood up and torn down without any human knowledge, so there's a lot of blind spots potentially. This brings up the question of how does the collaboration piece, because one of the things about the security industry is, it's a community. Sharing data's important, having access to data, how do you think about that as the founder of a start-up that has a 20 mile steer to the future around data access, data diversity, blind spots, how do you look at that and how do you advise your clients to think about that? >> I've always been really pro data sharing. I think it's one of the things that has held us back as an industry, we're very siloed in this space, especially as it relates to human behavior. I have no idea, as a regular CISO of a company, if I am doing enough to protect my employees, is my phishing click (mumbles), are my malware download rates above normal, below or should I invest more, am I doing enough? How do I do compared to my peers and without sharing industry stats, we have no idea if we're investing enough or quite honestly, not enough in this space. And the second thing is, what are approaches that are most effective? So let's say I have a malware infection problem, which approach, is it this training? Is it a communication? Is it positive reinforcement, is it punishment? What is the most effective to leverage this type of output? What's the input output relation? And we're real excited to have shared data with Horizon Data Breach Report for the first time this year, to start giving back to the communities, specifically to help answer some of these questions. >> Well, I think you're onto something with this behavioral science intersection with human behavior and executive around security practices. I think it's going to be an awesome, thanks for sharing the insights, Miss Masha on theCUBE here. A quick plug for your company, (mumbles) you're funded, Series A funding, take us through the stats, you're hiring what kind of positions, give a plug to the company. >> So, Elevate Security, we're three years old. We have raised ten million to date. We're based in both Berkeley and Montreal and we're hiring sales reps on the west coast, a security product manager and any engineering talent really focused on building an awesome data warehouse infrastructure. So, please check out our website, www.elevatesecurity.com/careers for jobs. >> Two hot engineering markets, Berkeley I see poaching out of Cal, and also Montreal, >> Montreal, McGill and Monterey. >> You got that whole top belt of computer science up in Canada. >> Yeah. >> Well, congratulations. Thanks for coming on theCUBE, sharing your story. >> Thank you. >> Security kind of giving the next generation all kinds of new opportunities to make security better. Some CUBE coverage here in San Francisco, at the Moscone Center. I'm John Furrier, we'll be right back after this break. (upbeat music)
SUMMARY :
Brought to you by Silicon Angled Media This is forcing all the companies to change. down 13% after hours because of the shift to the cloud. and for the first time, and the machines and kind of making it easier to manage. are doing on the network to see if user generated incidents and penetrate the well fortified network. It depends on what report you read. The evolution of human intelligence augmented by machines Greg Sands and the team there, really strong, So, my co-founder and I both came from the world Yeah, so the top one's always that our attackers Yeah, so the amazing thing about this is, So that everyone is getting only the information they need, Okay, so I was saying on theCUBE, the impact you have in your culture kind of a security data plane if you will, so the executive gets one for their department and think about that, you realize it's not more training, So it sounds like you guys are providing a vision and all of a sudden, a couple of miles walk That's interesting, I love the Fitbit analogy So the question's not so much instrumentation, Yeah, you totally got it. I got it. When do I know I need to get you involved? and that is a really great time to consider it. and how do you advise your clients to think about that? What is the most effective to leverage this type of output? I think it's going to be an awesome, We have raised ten million to date. and Monterey. You got that whole top belt sharing your story. Security kind of giving the next generation
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Ryan Rose, Cisco DevNet | Cisco Live EU Barcelona 2020
(upbeat music) >> Announcer: Live from Barcelona, Spain, it's theCUBE. Covering Cisco Live 2020. Brought to you by Cisco and it's ecosystem partners. >> Welcome back to Barcelona everybody. This is theCUBE, the leader in live tech coverage. We go out to the events and extract the signal from the noise. My name is Dave Vellante, I'm here with my co-hosts Stu Miniman, John Furrier is also in the house. We're here with Ryan Rose, Technical Program Manager at Cisco Devnet. Ryan, great to see you. What's goin' on? >> Hey, thank you so much. I'm really glad to be here. >> You know, we have a soft spot in our heart, for Devnet, because of course, we're in the Devnet zone, Devnet is the reason why theCUBE originally came to Cisco Live, and so it's been awesome seeing the evolution and the ascendancy of DevNet. It's now mainstream, you get a lot of love on the main stage, and really, it is the linchpin of the next generation of training and certifications for the engineers, the network engineers. So, tell us, give us a little quick history of Devnet, You've been here since the beginning, you remember the first Devnet. >> Oh yeah, in fact, so during my time at Cisco, like I was originally in learning at Cisco and being able to move over into Devnet, but I remember the very first Devnet experience that I had, and it started back when Devnet started about five years ago now. It was at Cisco Live San Francisco. At the time, they had split us across two streets, you know, they were trying to put, Cisco was trying to put a lot of activities going on in San Francisco. And they put Devnet in this walkway that was next to the Moscone Center, and, inside the Moscone Center. And when you went in there, it was packed. I mean, it was just shoulder to shoulder. Everyone there was just so excited because everyone was trying to learn, like, what is Devnet? And now, to look back on that, it's just so crazy how people have just been so quick to embrace the Devnet mission, the Devnet philosophy. Really getting into automation and programmability. And it's so exciting for us every year to be coming back, seeing you at theCUBE, being here in the Devnet zone, and being able to help people continue on that journey. Yeah, it's been great. >> Yeah, so, and we got some hard news to talk about today, I said in my breaking analysis this week that Cisco, when it rose, it pulled a number of levers, and one of them was really creating the role of the Network Engineer, the CCIE, and the certifications. People have really understood the challenges of what Stu calls the dark art of networking. And now you're bringing that sort of hardware certification to software, so let's get right into the news. What are you guys announcing today, and why is this important? >> Thank you so much for letting us talk about this because I think everybody has been really excited since Chuck came out in San Diego, announced the Devnet certification, said they were going to be, the new exams were going to be available February 24th, so we're about a month out from there. And to help people get started, we just announced here, about two big new offerings. The first is our Devnet Associate Fundamentals Training. Which we'll be launching on February 21st, so that way we can help individuals that are looking to start building up the skills and the exam readiness that they need to pursue a Devnet Associate Certification. We also announced our new Devnet Study Group Platform. Because we don't want people to just find the tools and the training that they need at Devnet, we want them to find each other. We want them to not just build together, but learn together. So we will now have a brand new Devnet Study Group Platform to help people have that type of interactivity. >> Ryan, I'm curious if you have much visibility into who's going to be taking these. You know, how many of them are the ones that, are the NetVets, the CCIE's that have done this year after year, and how many are new? >> Oh, I will tell you right now, we are actually getting this really wide and diverse audience, in fact, in the Devnet zone, we are providing a presentation on getting ready for Devnet certification four times a day, and it is packed every time we do it. And the audience is networking engineers, veteran networking engineers. When we ask people in the crowd how many of you have certifications, how many of you are CCIE's? We get a wide variety of CCIE's. This morning, we had a crew of software developers. So, we are getting people that are coming from kind of, all job roles, at all stages in their career. What they're embracing is that Devnet philosophy, around coding, around automation. They want to bring those practices back, whether that's DevOps, whether that's bringing a greater understanding of programmability, and so we're actually getting everyone, whether again, they're veterans or brand new. >> Yep, now I love that, because about 10 years ago there was this big movement, and they said, network engineers, your future is miserable, you all need to learn to decode, throw out what you learned, and fast forward to today, there's multiple paths to get there. As you were talking about, there's diverse backgrounds, there's lots of ways to be relevant to automation, of course, is hugely important. Coding is a major piece of it, but it's not, forget everything that you knew, it's how everything all works together. >> Yeah, I completely agree. I feel like, especially because the Devnet certifications aren't just the, are only one part of the launch on February 24th. In fact, the entire certification portfolio, and I know you're going to have other Cisco leaders on to talk about this, that is also being updated and launched on February 24th. And what I think you're going to see here is that flexibility that is in the program now, where you can actually have elements of automation baked into that network engineering journey. So you can still have the elements that people have been focusing on and building upon, except now you can stack on these new skills as you go. >> So, if I go back 10 years, maybe even a little bit more, but certainly 10 years ago, people were reticent to embrace automation. You know, you sort of alluded to that Stu, but now in this day and age, automation is fundamental. You can't scale without automation. And so the Devnet zone is really about taking beyond that existing skill set, going to the next level. Okay, so if you think about the network engineer and the training that they've gotten in the past, to deploy, manage, and optimize networks, automation comes in, simplifies all that. How do you describe what the future looks like for that engineer that's been Devnet certified? What are they doing? >> Oh, I think that now it's like, it opens up a brand new horizon of tasks and even efficiencies. New things that people have yet to even, or new job roles that even starting to emerge. A really good example, and one that we even talked about here at the Devnet zone, is the DevSecOps engineer, or the SecDevOps engineer. It's not that, and Susie has even talked about this as well too, Susie Wee, who leads Devnet. It's that jobs are changing, and roles are expanding, and so rather than just having this opportunity where you're looking at supporting a network or acting as a network administrator, now with automation, to your point, we actually can expand the opportunities of the roles themselves, and really open up things like, maybe you want to add those security automation elements, maybe you're interested in adding the collaboration automation elements, but whatever you are looking to do, the way that the program is built, post February 24th of 2020, you're able to actually have the opportunity to add in those skill validation exams, really build upon where you want to go. So I would say the horizon is wide and bright. >> So, to carry this up further, my question is, so the lines are blurring between, you know, Dev and Ops, right, and then, so a network engineer is going to become more Dev oriented, do you see them actually either contributing to or, certainly contributing to, but actually developing apps, say for instance, for the Edge? Maybe you can talk about that a little bit. >> Well, we are actually encouraging, as we have more and more people join the Devnet community, we actually have two elements, two exchanges, our automation exchange and our code exchange, to really help people as they're moving through that. We're already starting to see that learners, individuals, are coming through Devnet, making that change themselves, and actually contributing code to our code exchange, but also adding use cases to our automation exchange. So that way they're able to show not only how they're implementing these cases, buy why they're doing it. And the types of business outcomes that they're achieving. So that's a practice that has already started to take off. And I think certifications and things like the automation exchange, they go hand in hand, building the skills, and then adding to the program. >> Well, you hear in the keynote today, all the talk about bringing IT and OT together. Again, part of that, I've always said that the edge is going to be won by developers. Because critical infrastructure needs to be secured. And, you know, developers, the DevSecOps role, and I think this crowd is actually going to be an important lever in terms of bringing those two worlds together, your thoughts on that? >> Yeah, I actually think that that bridge is something that everyone is crossing right now. And, in fact, that's one of the motivations behind the updates to the certification portfolio. In fact, you'll find that we have parts of the portfolio that are shared between the hardware side and the software side. So that way we can have people as they're making that transition, as they're starting to move into that world, that larger world of network automation, we're actually having it be more of a clear journey for them, so they're able to work that into their own certification pouch. And I would say that these people that are here in the Devnet zone, they're the pioneers. They're the ones that are out there on that edge that are doing that exploration and building these new things, these new worlds that we are going to start experiencing in automation. >> And I guess Stu, it goes without saying, but it's worth saying, this is really all about programmable infrastructure, infrastructurous code, bringing the cloud operating model to your data, to your infrastructure, wherever it lives, right? >> Yeah, so Ryan, one of the things that struck us is not only is there so much enthusiasm, but the breadth of the offering here, everything from, here's some cool Meraki IOT things, to you, you talked about security, automation sprinkled throughout, can you just remind our audience a little bit as people get through the certifications, you know, what are some of the PaaS that they have for different parts of the portfolio? >> Oh, absolutely, so the certification journey that we have right now within Devnet, we actually align it to all of our five major technology tracks right now, so there are pathways within the portfolio around enterprise networking, security, collaboration, service provider, and also data center. But we also have pathways, as well, around application buildouts in IOT, and Edge computing, WebEx, and also, we have an entire practice that's now just dedicated to DevOps. And because DevOps is a concentration that can be, that is a horizontal throughout all of the certifications, this is something that you can now add to your journey. So we can actually have people here, and in fact, we've been answering this question more and more, how do I become more proficient at DevOps? A part of that is now in the certification journey. And so we've done that here. >> You should mention that we're in the IOT takeover right now in the Devnet zone. >> So Ryan, what about the partner ecosystem, talk to us about how, what impact do they have, how much of the ecosystem is getting involved in certifications too. >> Oh, well, I will say that we've actually, we've brought in a lot of people to help us develop this program initially. And I know that you're going to have additional Devnet leaders, they're going to be coming on, talking about partner ecosystems, so I don't want to take anything away from them, but I will say this. There is a lot of excitement because of the fact that when we brought the Devnet certifications out and what that would mean, for example, the new Devnet partner specialization. This is something that has been embraced by our partner community, but it's been embraced by the developers, whether they're our partner developers, they're our customers, or our networking engineers. Now that they have these as options for them to pursue, we have only been met with like positive enthusiastic engagement. And in fact, even now, we're starting to see a lot of people that aren't asking anymore, in fact, going back to San Francisco, when everyone was saying, what is Devnet, now they're asking how do I Devnet. And it is so great to be able to come and show them not only the certifications, but the associate fundamentals training, these new Devnet study group platforms that we have to show them you know the what now, here's the how. >> So, how challenging, cus I was talking to a lady on the floor yesterday, and we were chatting, and I said, "you were CCIE", she goes, "Oh, it's my dream, you know, I'm working my way there, it's very challenging, but I'm doing really well". Similar challenges, presumably, to get Devnet certified? >> Yes. >> How trivial. >> No, it is not trivial. It is a certification in the exact same hallmark that we hold CCNA, CCNP, and CCIE. The Devnet certifications are just as rigorous. And so we are giving people a lot of tools to help them get ready. And in fact, one of the things that we've done to help people on this journey take the initial steps, is we are not holding back any secrets. We've hosted every one of our exam topics for all 10 of our Devnet exams at developer.cisco.com/certification. There you can find out the exact skills we'll be testing you on for all of those exams. But we went a step further. We found every Devnet learning lab that you can take today for free to start getting ready on that exam journey. And so for every single exam, you can find training that you can engage with. So as people are starting this journey, if they want to get ready and just build their skills, especially if they're starting at zero, for example, if they think python is just a snake, we have a learning lab for them. So we have an entire plan that's built so they can start getting ready, and advance and move forward for that certification process. >> What should a college kid do to get prepared for this? If he or she wants to get into IT, become a network engineer, or Devnet is interested in them, what should they take, what courses should they be interested in? >> Oh man, that is a great question. We talk to a lot of people that are in a CS program, or computer science program, and so many young people that are moving through college now, they're already in the habit of programming. They've been working on things, they might have even been programming their own video games, or adding something to the new Mario games where you can actually build your own levels. What I would recommend to every young person, and in fact, to anyone that's on this journey, come to Devnet. We have an incredible amount of tools. At developer.cisco.com, just by signing up, you get access, not only to training that can take you from zero to coding, to making your first API call, to finding our Sandboxes, where you can take that theoretical knowledge and put it into practice using Cisco hardware and tools, and then you can also find use cases there too. I think everyone is often just looking for where can I start, how do I start. Devnet is gone so far as to even have a Start Now area on the Devnet main page. So when you come to Devnet, we're always trying to meet you where you're at. If you're a veteran networking engineer, if you're a veteran developer, or if you're just starting out, you're a college student, we've got a plan for you to be able to take. >> Awesome, right, check it out folks, you know, career builder, Cisco's always been renowned at that. Thanks so much for coming on theCUBE, it's great to have you. >> Oh, hey, thank you so much for having me. >> You're welcome, all right, keep it right there buddy, we'll be back with our next guest from Cisco Live in Barcelona. You're watching theCUBE. (upbeat music)
SUMMARY :
Brought to you by Cisco and it's ecosystem partners. and extract the signal from the noise. I'm really glad to be here. Devnet is the reason why theCUBE originally and being able to help people continue on that journey. of the Network Engineer, the CCIE, and the certifications. And to help people get started, we just announced here, are the NetVets, the CCIE's that have done this audience, in fact, in the Devnet zone, but it's not, forget everything that you knew, is that flexibility that is in the program now, And so the Devnet zone have the opportunity to add in those skill validation so the lines are blurring between, you know, building the skills, and then adding to the program. and I think this crowd is actually going to be So that way we can have people as they're A part of that is now in the certification journey. right now in the Devnet zone. how much of the ecosystem is getting involved platforms that we have to show them you know the what on the floor yesterday, and we were chatting, And in fact, one of the things that we've done to finding our Sandboxes, where you can take it's great to have you. from Cisco Live in Barcelona.
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Varun Chhabra, Dell EMC & Muneyb Minhazuddin, VMware | VMworld 2019
>> live from San Francisco celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019 brought to you by IBM Wear and its ecosystem partners. >> Welcome back to San Francisco. We continue our coverage here. Live on the Cube. 10th year John of covering Veum World This is 29 teens version John for John Wall's Got to have inside the Moscone Center. We're joined now by Varun Chabrol It was the vice president of marketing at Delhi M. C. Good to see you today. >> Thanks for having me. >> How's your week been? So far? >> It's been amazing. How can you don't get excited? All the innovation we're seeing this week >> we'll hear about some big announcements. Do you guys have made? And Moon Young Man Azzedine, who is the vice president of product marketing that for cloud security and works based solutions at Veum wear when you're good to see you. >> Good to see you again. You, By >> the way, you might be the busiest guy here. Yesterday, when you came into the set, you were coming in. Just spoken to 1300 people in a standing room only session You coming out? 500 folks, How many sessions have you done? The seven. So >> you don't count the the one on one with the analyst. And, uh, you know, the customers and partners and press. And tomorrow actually host ah 140 press media analyst on campus in Palo Alto from Asia Pacific because they float all the way from Asia >> plus 140. Yeah, it's a piece of cake. >> Yeah, hose them from 10 to 4. So, I mean, >> you're always smiling >> knowing that this is a pretty wide audience to whom you've been speaking. But just generally, what are you if there's a common thread at all about the kinds of questions that people are coming to you with, or or the concerns or maybe just the things they want to talk about being inspired. But what they're hearing here at the show, >> Okay. Now, according to two aspects of it, one obviously from analysts themselves, you know, they are actually have been very complimentary about the way we've taken our approach. I'm not sure if you could have paid attention. In the last couple of years, we've been talking especially the cloud side, the narrative, to be very much about use cases, solving problems. You know the key? No, we talked about hate my grade modernize. It wasn't about Hey, I've got the next big product here with all these features and capabilities. You do this and that. So we're gonna shifted out narrative. And it was very, you know, the the analyst across the boat. You know, we've been seeing an appreciative of the fact that you actually changing a narrative to be re compelling and we're gonna reflected. And we have some things here like Cloud City, where it's not a standard demo boot. It's a it's ah, Customers walk in and they touch and feel and see which we did it, Adele technology will, too. It's like, What's your business? Probably going through these applications. I'm sitting. I don't know if I should be modernizing them or should be migrating into Amazon. A ridge or so. So you know that narrative the analysts are appreciative off, and that reflects into the customer conversations I've been having in the briefings, like one on one with customers. They're really kind of lost us. D'oh! Hey, I've I'm working in this environment. There's a lot of pressure for me. Thio modernize my applications or go adopt my cloud. First strategy is where do I start? Where do I go? It's like, you know, there's a big pressure, so they just want clarity. I think in the end, everything we're gonna we're doing in our study that comes out obviously the buzzword for this weird world. It stanza, right? And, you know, >> we've won the product announcements was >> actually Brandon can Oh, yeah. Branding announcement, to be honest is yeah, because we're trying to bring together, as you know, in Tansy has landed in Bill Run Manage billed as in you know how our intent to acquire Pivotal Already acquired Big Tommy. How all our different acquisitions with different brand names are coming together to establish our bills portfolio again. The sphere. Everybody knows the sphere Project Pacific P ks. All of those create a good run time, environment and manageability like Adi manage with assets from ve Franta gain morbid Nami and you know it. So this multiple brands that are coming into this package off Iran. So we had a creative tan Xue too, you know, put forward statement together that yes is going to be 78 different brands coming into this, but going forward to stand. >> So so that's a great strategy on De Liam Seaside on Del Technology. Michael Dell was in here and I asked him. I said he could have been number one in everything you could. Let's talk about I'm number one in servers again. You kind of get on HP, little baby. But those air peace parts now. So we've got the cloud game. It's bringing despair it at parts together kind and making it coherent from a positioning standpoint and understandable and deployable. So you guys are going down there. That's your cloud strategy. Take a minute to explain that. >> Yeah, absolutely, John. So So what? What we've been doing. We announced this at Del Technologies will this year. But, you know, in the cloud infrastructure space, we're working very closely with the anywhere too tightly integrate our hardware solutions with their their cloud software. And we think that by combining these two in a tightly integrated joined engineer, jointly engineered solutions coupled with the service, is that you know, both of'em were and l e m c bring the customers we think we have. We're giving customers are very consistent experience both with their own premises, infrastructure with public cloud as well as with the edge cloud. And that's really what we're trying to do. That's what we've been building upon and uniting the announcements this week. You know, just just hopefully show customers that the sky's the limit, whether it's not just your infrastructure management. Also app development. Managing your APS both traditional and and cloud native. It's all here for And >> what's the big takeaway free from your standpoint that you'd like people to know about what's going on? Adele the emcee for the VM. Where relation. What's the big top item? >> Yeah, there's there's there's just so much good Doctor Wait forever drank the town about. If someone rises >> way, only have two hours >> time work. The most important thing that people should should know about it, >> you know, both deli M. C and V. M. R. I think, are very, very customer driven companies that we respond to customer feedback and we try to respond to them very fast. That's been true to our respective lifetimes and what we've done in the so that I think there's two broad areas of collaboration. One is in the cloud space, which is all about, you know, making sure that the the innovation that GM is bringing the market, we're providing that in a toy tightly integrated infrastructure solution. Right. So we announced from a deli in seaside support for Vienna, where p ks being deployed automatically on Vieques trail using VCF return. Our customers can you know, a lot of teams were telling us we have our developers and turning developers banging slash knocking on the door, saying we need to build a cloud. Native applications. You need to give us an environment that we can use. And you know, if if all righty, if these IittIe teams don't turn around and give them something relatively quickly Well, guess what? The developers will go somewhere else, right? Yeah, exactly. So And if you look at the kubernetes environment today, if you really look look at what the work that's required to set up kubernetes and ready infrastructure. So a lot of scripting a lot of manual, you know, work command line interface is testing stuff. And what what? V m r p k s does. And you know what times you will do as well is really makes it easy when we've taken that with the magic of the American Foundation sitting on top of the exhale to make it super easy for our customers to be able to deploy kubernetes ready infrastructure and then have it be ready for scale, right? And then the important thing here also is this is the same infrastructure of the expelling bcf that our customers are using for traditional applications as well, right? Trying to reduce that complexity. Give them the one platform. So this cloud, you know, we had we were doing the same integration on just with R A C I platform, but also with our best to breach storage or we're not working with the C f. And then we're also making investments on data protection like it's so important to be able to manage your data in this multi cloud world. We have applications sitting everywhere, data. We all know that it is a crown jewel. So >> it's really a king validating from the Vienna a point of view. How that works right is is about applications is about the infrastructure, and it's about the operation and it really kind of together as we talk about Han Xue p. K s is giving our customers that Chuy's off. You pick Cuban eighties, you know, environments, application choice. >> Um, >> it took us. Actually, we didn't We didn't arrive it in that order. Wait. Did it. In the outer off Infrastructure Plot Foundation is a critical piece of the joint engineering. But being aware and the Della Bella Technologies is really from aviary perspective. It took Locke Foundation, and that's the stack that runs in every public cloud. So, you know AWS as your G C P 4000 plus, you know, cloud provider partners. But Flat Foundation is a platform that was validated on. They'll take hardware and you know, that's the package. But now, as you see, we're lighting that it's same infrastructure up for traditional and culminated applications. >> I think the app sides important to point out, because if you could ve m wears heritage, you look at Dale's heritage. You had abs that ran on PCs absent, ran on servers, client server. And if you look at the fertilization that wasn't under the covers, apt an innovation that didn't require code changes. So that's the DNA that you guys have. Now, when you think about like cloud to point out which we've been riffing on that concept that's basically enterprise cloud mean donut. Hybrid cloud applications are gonna drive. The value on our premises is that they're going to be customer requirements that traditionally wouldn't have fit in the product. Marketing, management, featureless customs. Gonna define what they want. They'll build it, and then they'll dictate to the infrastructure to make it run. What? We can't do that yet. It'll be, Yes, we cannot be enabled to be dynamics. This is a a new cloud. 2.0, feature. This changes the complete game on suppliers >> completely agree. You know to your point, because, you know, you bring it thio back toward civilization. We've been going higher up the stack on So Day zero virtualization infrastructure will virtual eyes. So the line off abstraction has just been climbing from hardware retort realization next to like, you know, Pat platform of the service, and you kind of were working up our way down infrastructure. Now that base infrastructure platform looks like plants. Right? >> And there were times out a little bit over here. On the upside, you meet in the middle of >> it in the middle >> that is Hello, >> absolutely so ap and at middle wears shrinking down this way. Infrastructures. You know that the cloud incriminating stride in the middle to say, Well, that's a bit of, you know, infrastructure is a Kodak and pull. He's a bit of a AP AP eyes I can can I draw from And that's kind of nice future middleware. But our dad, I >> mean, I think applications air in charge, right? I mean, that's not sure That's the dynamic. That's the way it should be. But it never was that way before is basically the infrastructure was your gating factor. The network exact cloud two points Network security data. Yes, Dev Ops. A true Dev Ops Devane, Ops, Infrastructures Code. >> The only point I wanted to add is the reason the emphasis on abscess change acts in the past. Used to be a business support system after today is business. >> Yeah, I mean, it's >> really or you're you're gonna live or die based on the digital services you provide your customers. The other thing I was going to say about cloud 2.0, is that it's also becoming increasingly clear when we Dr customers that, um, customers are realizing Cloud is not a place right. There was this kind of cloud. One point it was okay. Big honking data centers, hyper skaters will be found now is that customers have gone through that process of and there's a lot more maturity in terms of understanding. What is good, better running on premises. What is what's better running in public Cloud? There's a place for both of them and that, um, and the cloud is actually the automation, the service delivery. It's Maurin operation and a way of being almost than a place. >> And what is it? Well, what does it do for you all? Then, in terms of challenge, especially at your teams, because you talk about all this customization, you're allowing the application to almost drive. You know, you're changing places in terms of who's the power of the relationship? Yes. Oh, me, yeah, How what? What does that do for you? Oh, in terms of how you approach that, how you change of mindset and how you change what you deliver? >> I think John, it's the way I think about it is that both daily emcee in Vienna, or any technology provider that's worth their salt is in the business of building platforms. Right? And platforms are essentially extensible. They're really they really provide a foundation that other people can innovate on top of it. And that's how I think you handled the customers issue. If one thing I think we can all agree on is that I t has always taught us there's no one size fits. All right? Right. So I think providing choice along every single dimension is super important for our >> customers. Yeah, I think that platform thing is a huge point. And I was gonna ask that question before John got jumped in because one of the things that you just brought up was platform is you guys have to build an enabling platform. One as suppliers. Okay, The successful cloud to point out cos are ones that are innovating in weird areas. Monitoring, for instance, they who will have thought that monitoring now observe ability would be such a massive, lucrative sector four. I pose M and A Why? Because it's data. It's instrumentation. This is operating system kind of thinking here is like network. So thinking like a platform on the supplier size one, the customers got to start thinking like a platform because their stakeholders air their internal developers or a P I shipping to suppliers. This is new for enterprises. This is news requires full hybrid capability. This requires date at the center of the value proposition. >> That's again the biggest value is business and I tr coming together on the area of applications and data. Yeah, that's starting up giving because the successful businesses are the ones who leveraged. Those guys have failed in the future, or the ones who don't pay attention to how critical applications are to the business logic and how critical data is to be able to mine and get the behavioral analytics to get ahead. And >> now the challenge in all this. But I'm learning and covering some of the public sector activity from the C I. A contract Jedi with Amazon to we had Raytheon Her here earlier is another customer example with another client is that procurement? And how they do business is not just a technical thing. There's like all this old legacy, things like, How do you procure technology, who you hire her and we hire developers? We build our own stack, so there's a lot of things going on. >> Yes, and you know, it's really interesting on the even on the procurement front, how our customers experience with Cloud has changed expectations, right, And that's really what we're doing with the McLaren DMC is what customers told us is, Hey, I love the agility of the cloud portal based access. Easy procurement. I love just being able to click a button and not have to navigate all this complexity. I need that for my own premises infrastructure. Imagine FRA structure. And that's, you know, in an example, while all of these dynamics are really all converging, >> well, if you can create abstraction, layer on a level of complexity and make things easy, simple and affordable, that's good business. Model >> one of our customers without taking the name right. The massive retailer you know they're spinning up, um, the retail outlets like crazy. They measure success in This was one truck roll, so they wanna have the entire infrastructure come into stand up one of the retail outlets in one truck roll. When everything comes in one button push that everything gets in a provision and up together. >> So that means I gotta have full software instrumentation automation Got intelligence. This is kind of where cloud 2.0, will lead us all >> likely. And that's expectation now that they go so fast and deploying this one Truck roll Hardware's there. Switch it on from the cloud it stood up and they're in operation 24 hours. >> Well, guys, we're going to get you on our power panels in our Palace of studio on this topic cloudy. But it's gonna be very aggressive and controversial topic because it's going to challenge the status quo. And that's really what this we're talking about >> that's in our DNA. >> And the good news is that that's more time with John. >> So as we before, we say so long, we've talked about clients. We talked about the folks you bet here. We talked about the presentation on this thing and what they're all getting out of it. What are you getting out of this? I mean, what are your takeaways? As you had back to your respective work orders, you get first. Okay? >> I think for me the biggest takeaway is just how incredibly vibrant via more user communities. I mean, it is unlike anything else I've seen before and now with the things like Project Pacific. I just feel like it's It's an opportunity for this community to be able to take the skills they have right now and actually go into this brave new world of containers with so much help forces having to do this all by yourself. Which means it's gonna be, you know, if you think about how largest community is, think about how much innovation this will spore in the container space and because of that in the application space and then because of that in business is I mean, this is a It just feels like a tipping point for me >> to me. Sure, I got high fives from every tech geek, you know, when we came out, you know, I also on our technical advisory boats for the company that these are the hot core geeks who were followed and you know us to the, you know, these were the fans and they were like, you know, they always kind of like if you walk out of them and you talk to them and they, uh how did it work? Because they my bar, you have a very high bar. They cut through all your marketing messaging. They go right to the hay. Is there meet in this And the high fives? I got the hajj. I got out. This is like, guys, you're nailing it. That's enough to tell me that a This is, like, 10 years ago. Yeah, that body. It's like you're so busy. I'm still smiling because the energy is I >> can't give you a hug. Give me a high five. Right. Good work, gentlemen. Thanks for the time. Always, he's still smiling to >> get you to a step. >> Good deal. Thanks for being with us. Thank you. Live on the Cube. You're watching our coverage in world 2019. Where? San Francisco. Back with more. Right after this.
SUMMARY :
brought to you by IBM Wear and its ecosystem partners. M. C. Good to see you today. How can you don't get excited? Do you guys have made? Good to see you again. the way, you might be the busiest guy here. you know, the customers and partners and press. Yeah, hose them from 10 to 4. that people are coming to you with, or or the concerns or maybe just the things they want to talk about being And it was very, you know, the the analyst to bring together, as you know, in Tansy has landed in Bill Run Manage So you guys are going down there. the service, is that you know, both of'em were and l e m c bring the customers we think we have. Adele the emcee for the VM. Yeah, there's there's there's just so much good Doctor Wait forever drank the town about. The most important thing that people should should know about it, So a lot of scripting a lot of manual, you know, work command you know, environments, application choice. They'll take hardware and you know, So that's the DNA that you guys have. realization next to like, you know, Pat platform of the service, and you kind of were working On the upside, you meet in the middle of You know that the cloud incriminating stride in the middle to say, Well, that's a bit of, I mean, that's not sure That's the dynamic. Used to be a business support system after today is business. the service delivery. Oh, in terms of how you approach that, how you change of mindset and how you change And that's how I think you handled the customers issue. because one of the things that you just brought up was platform is you guys have to build an enabling platform. and how critical data is to be able to mine and get the behavioral analytics to get ahead. There's like all this old legacy, things like, How do you procure technology, Yes, and you know, it's really interesting on the even on the procurement front, how our customers well, if you can create abstraction, layer on a level of complexity and make things easy, The massive retailer you know they're spinning This is kind of where cloud 2.0, will lead us all Switch it on from the cloud it stood up and they're in operation 24 hours. Well, guys, we're going to get you on our power panels in our Palace of studio on this topic cloudy. We talked about the folks you bet here. you know, if you think about how largest community is, think about how much innovation this will spore in the container space when we came out, you know, I also on our technical advisory boats for the company that these are the hot can't give you a hug. Live on the Cube.
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Tom Barsi, Carbon Black | VMworld 2019
>> Live from San Francisco, celebrating 10 years of high tech coverage, it's the cube. Covering VMWorld 2019 Brought to you by VMware and it's ecosystem partners. >> It is 10 years and going strong for the cube coverage here at Vmworld, Vmworld 2019, we were here 10 years back, and looking forward to the next 10 or more. We're at Moscone Center North San Francisco, the cube with Dave Vellante, John Walls. We're joined now by Tom Barsi, who is the senior vice president, business development at Carbon Black Inc. Tom kind of required couple of weeks for you not much really going on in all serious.. >> Tom: Just a little bit (laughs) >> Yeah I mean big purchase VMware, I'm sure you're aware pick up Carbon Black making that announcement official this week. You were in the center of that, that discussion so if you would kind of give us a little behind the scenes peek, behind the curtain if you will of how those talks developed and really back to your relationship with VMware to begin with. >> Tom: Yeah >> Cause this goes back for a while. >> Tom: Needless to say a super, a super exciting week and accomodation of a lot of work amongst a army of people to get us to where we are and obviously announcement last week, around the acquisition of Carbon Black was huge but I think the announcement this week in terms of going into more detail that Sanjay and Pat went to in terms of combining the best infrastructure management with our best app reek cloud, native, modern, security platform with analytics combine that together, I think there is really an opportunity to transform the industry and currently we've been working with VMware for well over 2 years. So 2 years ago Vmworld we announced an exclusive partnership with VM where we integrated with Vmwares newly announced app defense product, which is really around securing cloud workloads, obviously their in a unique position to secure workloads because of where they sit, leveraging the infrastructure and knowing what's good and what should be running within those workloads so they've leveraged that and build app defense and for the first time we built that integration, exclusive integration and for the first time a security operation center has been able to have visibility into the hypervisor. So that's where we started to see that potential and the opportunity and it also gave us an opportunity to really start to work closely with the Vmworld team, understand their culture, understand their community, understand their leadership, their commitment to winning, understanding commitment to really sort of transform in security and it just became, we dated and it became just obvious that there is so much energy between our leadership and theirs, so much energy in terms of vision of you know, securing the world from, make them safe from cyber attacks and so it just made so much sense. So in Pat's words sure it de-risked the acquisition over a period of time but it also allowed us to really work closer together know what we're getting into and really getting super excited. So I can tell you the response from our employees has been overwhelming and their response here at Vmworld has been just amazing in terms of traffic and the partners, customers and all that. >> Dave: I asked Pat Gelsinger 5 years ago if the cube was security broken and he said "Yeah, it's broken" and I was like "what you going to do about it" stay tuned well, we've been tuned. I did an analysis of, and this may be, first of all Patrick is going to take over as to run Vmwares cloud security business? >> Tom: Correct. >> Dave: So when Patrick stated... >> John: Patrick Morelik >> Dave: Yeah, Patrick Morelik CEO of Carbon Black and Pat Gelsinger said that we want to be the cloud security company. >> Tom: Absolutely. >> Dave: Okay, so I love when they lace down aspirations like that, now this now may not be fair to you because you... >> Tom: We've been in the security, yeah. >> Dave: But there's a portfolio there that may not be as familiar with but I'll ask you anyway cause you're going to have to come familiar with it soon. So I did analysis of the Carbon Black acquisition, obviously app defense was in there but if you look at the VMware security portfolio, NSX has a micro segmentation. >> Tom: Absolutely. >> Dave: News case. Obviously, Air watch you know. >> Tom: Workspace One >> Dave: Competing with Workspace Once >> Tom: Absolutely >> Dave: Cloud Corio, E8 security bracket, Trinsic is another tuck in acquisition that VMware did so while their building up this portfolio, can you help us understand how that's shaping out and where Carbon Black fits. >> Tom: Yeah, absolutely. So let's talk about first the opportunity here. The opportunity is to leverage infrastructure management and security portfolio that VMware has and then sprinkling the Carbon Black portfolio, capabilities across that infrastructures, so in betting NSX for network to end point. And embedding works in base one, which we've already done. Embedding it with integrating app defense, which we've already done. The ability to do agent less within the steer, super super powerful. Post close we'll be working on things like that, so basically by integrating across that portfolio you really have the ability to transform the entire security space, and I'll talk about that in a second. But what that means is basically by embedding security across that infrastructure management and eliminate a lot of complexity in the overhead in the bloat you're coming up with basically intrinsic security. The best thing from a human prespective to increase your immune system, you know, is or staying healthy is boosting your immune system and the best way, reason we're doing this, the best best way to secure enterprise is to integrate, embed security into the actual infrastructure and take the benefits of infrastructure management with security, combine it and eliminate a lot complexity, so let's talk just a second about being broken. It's hard for a security guy coming in and saying the industry is broken, I will tell you that but truth is it needs to be transformed there is just no question about it. So let's talk about it just from in point perspective, and then we'll get into the whole opportunity to extend that capability. You look at the end point from a enterprise customer perspective it's well documented that you know Legacy AV was built 20 years ago and not built for the modern tact factor so it's well documented, yes customers still have Legacy AV, it's not, you know it's 35% effective so what have customers done? They've gone and deployed EDR and point detection response, which is what Carbon Black strive has been a market leader hands down market leader in this space in terms of adding EDR's, yet another sensor. Then you want to have the ability to say look we got workloads and there's another sensor for that. Then you want to talk about, hey, vulnerability is coming out and we want to be able to query across the fleet to understand what vulnerabilities were in your environment, tanium like, right, there's a sensor for that. So you know what 2 and a half years ago our customers came back to us and said look we love you guys, what you guys are doing but there's too many sensors on the end point bloating and slowing my systems and my security teams is getting fatigue with all this point tools they said we need a integrated approach, in comes the Carbon Black clouds and that's we're we had the ability to integrate multiple services, NG, next-gen anti-virus, EDR, Life ops, the ability to query across. We've integrated App D for hard workload all those are shipping today, all those service on single, soft, light weight sensor and a modern cloud native SAS back in with analytics, so it's just super powerful and so now you're consolidating on that, you're getting more efficient, you're eliminating overhead and you're making the security operations team that much more effective, now, imagine taking that approach to the broken network and workload and exedra and extending that capability across the entire infrastructure and that really is what we're talking about in terms of teaming with VMware embedding our security capabilities across infrastructure a lot across NXS into work app D into workspace one which we're already doing and again eliminating a lot of that bloat and making our customers more secure and much more efficient. >> Dave: So there's another dimension to this acquisition which I like which is your SAS business, so I think it's about 38% of your revenue, I call it roughly 40% of your revenue, but growing very very rapidly, growing to 70% of the year. >> Tom: Exactly. >> Dave: So VMware has said that this acquisition along with pivotal is going to have add a billion dollars in, basically, mostly in all subscription revenue next year and three billion in year two and it's going to be accretive in cash flow deposit acquisition by year two so all very, VMware actually keeps well generally in acquisitions and so notwithstanding some weird stuff in the economy they usually hit their targets. >> Tom: Yes. >> Dave: You know they intend to be conservative so I really like that and that's clearly the direction you're moving. The other thing about this, a lot of people on Wall street said well it's maybe overpaid for stock and I want to get your opinion. Cause you're out competing everyday and cloud strike is obviously the comparison to use, okay. Say a company is a 16/17 billion dollar valuation you're valuation was 2.7 billion, you look at cloud strikes post IPO's, doc chart, it looks like a bathtub you know, it kind of goes like this and then goes like that because people start to realize wow this asset actually has you know a lot of intrinsic value upon attend it. So in comparing cloud strike with Carbon Black in terms of feature, function, capabilities you know execution and those technology. Is it really that much of difference 16 billion and 2.7 billion (laughs) >> Tom: You know I can't really comment on Crowdstrike's market cap, obviously I respect them as a competitor. >> Dave: Great, great job. >> Tom: I don't have to like them but I respect them as a competitor no question. >> Dave: What in terms of the function and the capabilities. >> Tom: In terms of the functionality look we've significantly close the gap and adding cloud workload capability with app D adding the query kit with live ops and extending that capabilities so from a feature functionality look at VMware is technology driven they kick tires and they do the diligence on technology that's the strength of VMware, they look deep and what they came away with was we have a super competitive platform, you're seeing it in our wins our growth rate you're seeing it with our wins and large customers that I can't really name so from a feature functionality perspective you know we're at parr in many ways we're better now, now if you look at where the market is going look Crowdstrike is going to be a great point product solution for end point. But we believe, that they're going to do phenomenally well but we believe there's an opportunity here, again to integrate infrastructure management that VMWare has security capability and deliver an end to end platform and truly transform across the entire infrastructure of an enterprise so that really where we see the opportunity and the opportunity for growth and then you want to look at our growth rate I mean to your point, VMware does an incredible job and you know you start talking about the reach of VMware and talk about the reach of DellEMC and it's super exciting. >> Dave: Yeah the VMware brain trust is very capable both from a strategy standpoint and a technical, strong, very strong engineering culture. >> Tom: Yeah >> Dave: You saw this with Airwatch so Airwatch when VMware required Airwatch VMware was struggling what was then the VDI business and airwatch wasn't you know number one in the market place but VMware like now crushes, people are making similar analogy with regard to Carbon Black do you think that's fair, I mean you think you can repeat that sort of momentum. >> Tom: Yeah you know I've obviously been very very close to this relationship and I have been sort of the number one fan and cheerleader of this partnership because I just believe in my soul that it's going to be transformative really is so to that point I you know I think and I've talked about it internally what they've done with my serie what they've done with aiwth now workspace one and the ability to take a business from me no revenues or couple hundred million and take them to two billion. I absolutely believe you will see, it's going to take a lot of work but we're going to see rejectorty I've been focussed on if there are gaps we're going to force it in or anything to accelerate the road map to allow us to win and then you're going to talk about the triple acceleration with VMWare and DeliMC so answer I say I truly truly believe that we can take our position to number two and really be number one >> John: Transformative in a significant way a significant word to use. What's that end product going to be that makes you looking at it at this visionary stand point that, this is a perfect marriage this is a fantastic opportunity. You're not you're selling hard >> Tom: Yeah >> Dave: It's a platform really >> Tom: Look it is a platform and at the end of the day we're focused on here as customers we're talking about how do we protect our customers and the best way to protect those customers is to embed the capability you know we did many years back Carbon Black we exposed our data and many of our partners, sometimes we compete with cisco or firehire a number of other players because customers demand the end to end visibility from network to end point. Can you imagine the kind of damage when you integrate Carbon Black and our modern platform are analytics and the ability to pull data from hypervisor the ability to pull data from NSX to ability to pull data from workspace one into a common console and then understand exactly what is happening from an attack perspective and then let's talk about okay, so now you have the visibility it's a 360 degree view of what happening in the network now you want to talk about the ability to orgistrate or imidiate like solve the problem. Well historically it's been security operations center over here and you got IT over there. And there's been this friction because Sycguys says take it down take the server down there's a problem and the IT guys ops, hey, I got run time I got to keep it up so now you have the opportunity again to leverage that management to identify a threat and the ability to seemlessly leverage VMware infrastructure's management tools to instantly reimmediate and orgistrate a problem without the conflict with IT and security operations. So we've actually seen an opportunity to eliminate our friction and create coloboration between those two. >> Dave: And security is broken, it is a do over and to talk to ops team they'll tell you, we're fighting everyday and bombs are dropping, we have to succeed everyday. The bad guy only has to succeed once so yeah they bring in all these tools and a lot of times they don't work together and they have a very hard time to just figure out okay, what do we prioritize on and obviously analytics helping that but yeah, you see that stats after you get infiltrated to whatever 300 days 250 days they even identify that you have been infiltrated and it's just a very complex environment so the do over is a platform that will give you end visibility and doesn't force you to different point tools and it has a comprehensive in a view of your >> [Tom[ That Right >> Dave: Infrastructure >> Tom: That's right and I do want to point out it doesn't mean that we're going to create this platform that's closed. A lot of competitors like to built closed platforms and Carbon Black has always been API driven like open, and the whole point of this openness is to, we collect this powerful end point data and we want to expose that data across the infrastructure so we're exposing it to the network security guys whether it be Vectra or Palato networks or FireMandion depending on who it is. We're exposing that data to splunk IBMQ radar and IBM rasilion and we're going to continue to do that, leverage this platform and all this powerful delimentry and we're going to continue to have this open platform and continue to work across the industry to make sure it's not just our platform from the MDM just across the ecosystem. >> Dave: Well it's something VMware has been strong if this heritage genaty, you know they help you know balance the score card >> Tom: Yeah >> John: It's been a understatement that it's been an exciting week for you, it's been a great two years it sounds like and we wish you success now it's on down the road like he said a lot of hard work still ahead of you. >> Tom: Absolutely, so congratulations on ten years, I look forward being here in year 20. (laughs) >> John: We'll be right back, we'll be right back just taking a break here on the cube we're at Vmworld 2019. Moscone center, San Francisco. (music)
SUMMARY :
Brought to you by VMware the cube with Dave Vellante, John Walls. and really back to your relationship with for the first time we built that integration, first of all Patrick is going to take over Carbon Black and Pat Gelsinger said that may not be fair to you because you... So I did analysis of the Carbon Black Obviously, Air watch you know. this portfolio, can you help us understand across the fleet to understand what Dave: So there's another dimension to Dave: So VMware has said that this so I really like that and that's clearly the Tom: You know I can't really comment on Tom: I don't have to like them but I respect Dave: What in terms of the function Tom: In terms of the functionality Dave: Yeah the VMware brain trust is Dave: You saw this with Airwatch so one and the ability to take a business from me What's that end product going to be that and the ability to seemlessly leverage VMware that will give you end visibility and doesn't expose that data across the infrastructure and we wish you success now it's on down the Tom: Absolutely, so congratulations here on the cube we're at Vmworld 2019.
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Josh Epstein & Eyal David, Kaminario | VMworld 2019
(futuristic techno music) >> Narrator: Live from San Francisco, celebrating ten years of high-tech coverage, it's theCUBE! Covering VMworld 2019. Brought to you by VMware and it's eco-system partners. >> Good morning, welcome to day three of our coverage here on theCUBE of VMworld 2019. We're at Moscone Center North, here in San Francisco. Kind of a, well not kind of, it's a really cloudy day but I kind of expect that. We've been talking about clouds all week, right? Multi, hybrid, public, private, you name it, we've been talking about it. John Walls and Dave Vellante, good to see you this morning. >> Good to see you John. >> Yep. We're joined now by a couple of executives from Kaminario. Josh Epstein, who's a CMO and Eyal David who's the CTO of Kaminario. Good morning gentlemen, >> Good morning, >> Morning. >> Great to be here, great to be here. First of, let's just talk about the show. I know you've got a presence down on the floor, just your feeling about the traffic, the kind of traffic you're seeing at your booth, what the questions are, coming from customers, maybe what those answers are. Eyal, why don't you jump on that? >> Yeah, so first of all, it's great to be back in San Francisco for this conference! >> John: Here, here! >> Dave: Agreed! >> Definitely. (laughter) And I think it's very clear that, yes definitely, cloud is the name of the game, and especially how do you implement a hybrid cloud, customers are all on their cloud journey, and the big question is, "How do I do that?" "How do I take these new technologies, the cloud, "containers, and how do I take my applications "and my data services to the next step?" And it's kind of all over the place, all decisions, all the customers are asking about, this is where the focus is, where the interest is, and it's a great to be in the center of all of that. >> Yeah, you made a big decision, or a big announcement about a month ago. You said, "Okay, public cloud; that's where we're going." Josh, the driver behind that and kind of, what the early fall outs were? >> Sure, sure. I mean, we started our journey, really from the beginning of Kaminario, Kaminario's about ten years old, and you know, the data storage market, as a traditional all-flash storage array. The past 24 months, we've really pivoted the business model towards first, 100% software, we got out of the appliance business, started really focusing our business on doing these large software based implementations, moving into more subscription based revenue, kind of delivering that cloud based economics experience. And then, over the last several months, we've been focusing on taking our core architecture, which fundamentally decouples the data services from annoying infrastructure, and thinking about how that might actually look on public clouds. So doing the same thing, kind of creating this sort of shared storage experience, delivering all the traditional enterprise class data services, but sitting on public cloud infrastructure. It's been a really interesting journey. >> So let's double click on that, because it's clear that this space is not about the media, it's about the business model, it's about the additional value you can add for customers, so maybe you could add a little bit of color, as to sort of, how's that going, where you guys are differentiating in the marketplace, where you're winning. >> Sure, I mean I think- >> Yeah. >> Jump in, Eyal. >> Yeah, so I think it's, as you said, it's not about the media, it's all about how do you help customers have a uniform experience around any deployment model. So they want to deploy on-prem, they want to deploy in the cloud, they are actively seeking for a uniform way to do that without too much heavy lift. There's some challenges in going to the cloud. If you are not born in the cloud, you need to re-architect your applications, you need to kind of, learn some new skills. There's a big challenge, especially if you have big data intensive applications. That's where we focus, delivering that uniform experience around orchestration of resources and data services across your on-prem, off-prem and public cloud implementations. >> So you guys decided not to ship a box anymore, you know the Silicon Valley show, "Where's the box?" so I'm interested in the technical challenges of doing that, but also the customer feedback, because sometimes people want an appliance, so how were you able to transition through that and what's the feedback been? >> Yeah, I think for us, I mean, our core business, our core customer, has really been cloud scale applications, for the last five years. So this is large SAAS providers, e-commerce platforms, fintech, healthtech, any of these large, mature software companies, right, their core business is delivering a cloud scale application. And for them, you know, many of them were born before the age of the public clouds, they've actually heavily invested in application architectures that rely on enterprise class and shared storage. That said, they see the draw towards the cloud, they see the benefit of the cloud like economics, subscription based, consumption based economics, and then the overall capability to scale up and scale down like the cloud does, but that said, they need that bridge, from where they are today, with traditional data centric architectures to this cloud world. >> You mentioned fintech, and there's an interesting case, because when the cloud really started to gain momentum, a lot of financial services companies, the big guys especially, said "You know, we can build our own clouds." And then they realized, "Well we can't build them as fast as Amazon can build them", and so they sort of pulled back on that. But they, and they sort of put their foot in the cloud, and then went all, and then they said, "Wait a minute." So what are you seeing, in terms of, call it the private cloud, you know, we've kind of swung back to that, is that gap closing, are they able to get close enough? The key part of that is obviously the pricing models, and the pay by the drink. I wonder if you could add some color to the on-prem cloud business- >> Josh: Sure. >> If we can call it that. Some people might object, but that's- >> Yeah, definitely. So the way we approach it is that we want to bring the simplicity, the agility and the flexibility of the cloud model to this on-prem data center, to deliver the same performance, control of a dedicated resource, which is exactly what these type of fintech customers are looking for. So, in our basic architecture, which was already, we decoupled from hardware, already decoupled performance from capacity, we're able to do that extremely flexibly. You can get the same flexibility of the cloud in an on-prem solution with all the benefits, and you can also decide, on your own pace, in your own terms, what you actually need and makes sense to run on a public cloud infrastructure. >> So scale is obviously a big deal for your customers, that's kind of been your focus since day one, what's the bell curve look like? Are we talking about scale in just the ability to scale quickly, or is it also the sheer size, and what does it look like? >> Yeah, I think it's about performance at scale, it's about control over performance at scale, it's about control over availability at scale, and it's obviously about cost at scale, right? I mean, it's too, there's so many different ways to look at the economics of public cloud versus on-prem. If you're looking at the pure dollar, it's clearly building on your own dedicated on-prem infrastructure, it's clearly cheaper than paying Amazon or Google or whoever to do it. But there's clear benefits to kind of going in that direction, in terms of agility, in terms of hands off management, in terms of really just, you know, staffing expertise. But I think it does come down to control, right? And when you talk about scale, when you talk about petabyte scale, it's easy to lose control, and this is the benefit of shared storage models, and this is where we think there's a real opportunity. >> Can I follow up on that, because you said there's a clear benefit of, if I understood it correctly, of building out your own prem infrastructure at some critical mass. There's obviously people, like Andy Jassy, who would disagree with that. So what's your data showing? I presume it's weighted towards large customers. >> Absolutely. >> Yeah. >> But maybe you can add some color to that? >> We've certainly got good research, good analysis on this. And I think if you're talking about, we're talking about certainly over 500 terabytes to a petabyte, it's a multi petabyte scale, data driven applications, we're talking about business critical applications, big block storage, heavy analytics. If you compare just raw economics, the thing is, there's a lot more than just the raw economics, but the raw economics of an infrastructure built on Kaminario versus the equivalent infrastructure, built on one of the block storage resources from one of the public clouds, it's literally about 1/3 the cost, to build out your own dedicated infrastructure, leveraging a good, high quality colo, a good, high quality hardware underneath it. So raw economics, it's clear where that sits. >> Okay, so that's if we're comparing the cost of the, the acquisition costs versus some end number of years, right? >> That's correct, yeah exactly. >> And not really going into the labor costs at that- >> Not going into the direct labor costs of managing the storage, yes, there's clearly interesting benefits to going to a 100% cloud model. What that does to an organization, when you kind of, hands off, you know, you don't have the same kind of in house IT resources, you're out sourcing a lot of that- >> Well except what Eyal was saying before, is that you're trying to bring that cloud model to the data. So to the extent that you can close that gap, then you can- >> Eyal: Differently. >> Substantially mimic, exactly. >> We saw the opportunity to extend those capabilities into the public cloud, delivering a high performance storage solution in the cloud today is as expensive. Our focus over the years, of taking these commodity components and comprising them into a high performance shared storage solution. We can do the same in the cloud. >> But I think the key is multi-cloud. >> Yeah, let's talk about that. >> The key is that there's not one size fits all, and it really is about creating this mobility between your on-prem data and public cloud number one, and then public cloud number two. One of the key concerns about moving a business critical application to a public cloud is lock in, right? And if you can create this infrastructure where you're decoupling that data services stack that the application relies on, from the underlying infrastructure, you get this mobility between clouds that becomes really attractive. >> So you're kind of answering the next question that was on my mind, of how are you selling that to customers. The fact that we're having this very robust discussion about this fundamental shift and you get it, because you're providing this service to your whole client base, but if I'm a client, my head's starting to spin a little bit, right? And I've got big decisions to make, so how do you sell that, that this is not a little shift, this is a fundamental way, the way you're going to do your business? >> So, in the simplest form, we tell the customers that we significantly lower the barrier of entry into the cloud. You don't need to re-architect everything, you don't need to be worried about performance management, or, control, or orchestrating resources; we do all that for you, and we do it in the same way that we did it for you in your own on-prem data center, and we can do it on any of the public clouds. So the barrier of entry, the risk of actually doing that transition- >> John: Is lowered. >> Is lowered significantly, and you can that on your own pace, in your own terms, and make some smart decisions later on about what needs to reside where over time. >> So, when we think about multi-cloud, we think about, "Okay, I'm going to have data on-prem, I might choose "Azure for my collaborative workloads, "I might put my dev stuff in AWS, "I might put some analytics in Google..." You know, whatever, my business is going to decide what to do, I'm not going to have this grand, multi-cloud strategy, it's just kind of going to happen. And then IT's going to be called in to clean up the crime scene! But we're envisioning this architecture that's shipping metadata, and maybe compute to the data, versus moving data. Do you agree with that, or do you see it differently? >> We see, I think, two types of customers. Some behave just as you describe, but some have a very specific decision not to be locked into single vendors. So they'll say, "I'll put one business unit on Google Cloud, "and put the other business unit on Azure. "I'll put this certain type of application on one cloud, "and the other type on the other cloud, "because I want to make sure that I am cloud agnostic. "I'm actually mandating with an organization that "I can run anywhere." >> As a hedge. >> As a hedge, as a definite hedge, because they are concerned about locking to either of the vendors, and in that sense, they later on make the decision, "Okay, where is the "core of the data? "Where is my mission critical data which always "has some gravity, and how do I make sure that it's in "the right place at the right time." >> Doesn't that add complexity for the client? I mean, if they've got a workload here, and here, and here, it'll be a lot easier if it was all here, or most of it were here. But that adds, I'm wondering if- >> You're absolutely right, but what we see is this rapid shift towards embracing the multi-cloud model. So let's take an example. You have a classic cloud scale application, and might have an active/active data centers in two parts of the United States, sort of serving up the production application. You have dev test requirements, so they want the ability to rapidly spin up an environment to mimic a problem or do some development. Public cloud's a great example for that. You have DR requirements, your back up requirements, they want to be backing up, they want the ability to rapidly spin up in instance, in a public cloud instance, and no matter what, within every organization somewhere, even in the most sophisticated IT organizations where they have tremendous control over the data centers, some C-level exec somewhere that says, "In five years, I'm 100% on public cloud. I want nothing." So you have to sort of service that element as well, and what we're doing is saying, "Listen, you can continue to focus on building out "a world class, next generation data center, "based on the NVMe, all NVMe fabric, "and still have the mobility to do certain things "in the cloud, and still have this path, "if it makes for your organization, "to migrate the entire thing to public cloud, "and not get locked in." They'd be able to sort of, surf the clouds as actually- >> So technically, that means you have to speak as your API, S3, whatever language of the cloud, and so I'm trying to understand, sort of, technically, what you have to do, and then where you add value, where you pick up from whatever, VMware or whomever else is trying to be the control plane. >> So then, that is exactly the point, and to address the question about what the complexity of this multi-cloud world, this is exactly where we see the rise of this next generation orchestration framework, either from VMware or from others, that strive to give you this uniform experience. So we deliver that at the data services layer, we connect that to the orchestration layer, that allows you do seamless workload abilities, seamless data mobility to wherever it makes sense for those applications or business workloads to run. And basically, the customers expect, to date, that we encapsulate all that complexity for them. They want to be able to put their Google, Amazon or Azure credentials , and then forget exactly where it went. And this is a lot of what's going on in the floor this week, and that's exactly where we connect to the rest of that orchestration scene within the data center or the public cloud. >> So, in that context, are you primarily, I know you sell to a lot of different people, but is it the cloud architect, or the architect that's actually determining that throughout the organization, or is it again, cleaning up the crime scene type of a thing? >> It's usually a conversation with that CIO, who's kind of, on that cloud journey, building his cloud strategy, and even if he made the decision to in five years be in the cloud, now the question is, "Okay, what's happening in the meantime? "How do I actually do that?" >> One of the cool things that's happening in the meantime is most of our customers are in just this perpetual state of data center consolidation, right? Most of these large SAAS companies, they're growing through acquisition, they've got nine data to data centers, they all have a plan within two or three years to be consolidated on three next generation data centers and then have cloud mobility. So what we're able to do, this is leveraging our software model as well, is say, "Listen, let's do an enterprise wide, "unified licensing scheme, "where you're paying on consumption, "based on actual data stored, "and then you can build the underlying infrastructure "wherever you want. "You can base it on your traditional infrastructure "you might already own, it might be on next generation "NVMe, NVMe over Fabrics connected data centers, "and then a piece of it now might be in the public cloud." >> So, you're talking CIO, Dave, you're talking CSI, I'm just little confused! (laughter) Gentlemen, thanks for the time, we appreciate it. Great discussion, and continued success downstairs and on down the road. >> Great to be here guys, thank you. >> All right, back with more VMWorld 2019, here on theCUBE. (futuristic techno music)
SUMMARY :
Brought to you by VMware good to see you this morning. and Eyal David who's the CTO of Kaminario. the kind of traffic you're seeing at your booth, and it's a great to be in the center of all of that. Josh, the driver behind that So doing the same thing, kind of creating this sort of it's about the additional value you can add for customers, you need to re-architect your applications, and then the overall capability to scale up and scale down call it the private cloud, you know, we've kind of If we can call it that. of the cloud model to this on-prem data center, But I think it does come down to control, right? Can I follow up on that, because you said there's a it's literally about 1/3 the cost, What that does to an organization, when you kind of, So to the extent that you can close that gap, then you can- We saw the opportunity to extend those capabilities And if you can create this infrastructure where you're and you get it, because you're providing this service that we did it for you in your own on-prem data center, Is lowered significantly, and you can that And then IT's going to be called in "and put the other business unit on Azure. of the vendors, and in that sense, Doesn't that add complexity for the client? "and still have the mobility to do certain things and then where you add value, where you pick up from And basically, the customers expect, to date, that we One of the cool things that's happening in the meantime is and on down the road. All right, back with more VMWorld 2019, here on theCUBE.
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Dave Twinam & Rosa Lear, VMware | VMworld 2019
(Techno music) >> Live from San Francisco, celebrating ten years of high tech coverage, it's The Cube. Covering VMworld 2019. Brought to you by VMware and it's ecosystem partners. >> Well we are in Moscone Center North here in San Francisco, the city by the bay. Gorgeous day outside. Day two of our coverage here on the Cube. Vmworld 2019. I'm John Walls with John Troyer. John good to see you today. >> Great to be here with you. >> Good for day two. We have a couple of authors with us today, both from VMware. Rosa Lear who is the Director of Marketing at VeloCloud, in the business unit there. Rosa thank you for being with us. >> Thank you. >> Appreciate that. And Dave Twinam, who is the Director of Systems Engineering in that business unit at VMware. And this is the book that they have collaborate on I think with 12 others, there were 14 who came together on this project. It's called SD-WAN one on one, the what, the why, and the how. This is going to answer all those riddles, all those puzzles that you have about how to software define wide area network work, where are the pitfalls, where are the challenges, what are we going to do to solve our problems. So folks what was the genesis of this? It's a hefty thing for sure, >> (Rosa) It is, yes. And really well illustrated, we'll get into that in a little bit, but what was the genesis of this? Rosa if you would first, what drove you to put this together? >> Sure, there are a lot of books out there on the market that are focused on the SD-WAN because it's such a hot topic, but what we saw was a big deficit on how does it actually work. Getting down into that second, third layer of what people are looking for. So it's not so superficial. They really want to know how does it work, how do I integrate it into my network, what are the steps that I go through. So it's not a user manual, but it definitely gives you that deep perspective of what SD-WAN can provide and how to implement it into your network. >> So the target audience would be who? >> Network engineers, we also got stuff in here for the business owners, so CTO's. We actually have two characters that help outline a lot of the comments, or a lot of the meat of the book. One is Elvina. She's the CTO, so she really describes what her business needs are. And then there's Rodney who is her network engineer who actually implements this, the architect, so it's told from their perspective and really introducing each of the chapters, the concepts, and the takeaways. >> So Dave as you've been doing this, you're talking to customers out there, what's the state of the art here, where are we with the evolution of SD-WAN? It's kind of a noisy space from my perspective. Also from a VMware perspective, this brings VMware out of the data center into the network, and network edge, and wide area network. So can you just talk a little bit about what are the problems people are seeing, and that they're solving with SD-WAN, and why are network engineers interested in taking this as their bedtime reading. >> Absolutely, clearly what we're seeing in the marketplace is that there is a lot of noise out there, there are a lot of vendors that are in the SD-WAN space. I think it's important to note though that we are number one. It's always a good place to be. So while VMware is a newer kind of entrant into the wide area market in particular we already have a leadership position via the VeloCloud acquisition, and obviously the continued enhancements to the portfolio from there. So the reality is that SD-WAN, it's kind of funny we have the why at the beginning of the book, more and more customers aren't asking the why. They know why they need it, which is it's the natural evolution of their wide area infrastructure. They know that software is the future, that's why we are here at Vmworld cause we're all about software, and understanding how they can evolve to meet those business challenges in a software framework versus the traditional rip and replace hardware based model over the past. >> And you're on one side of the equation obviously, you're supplying this information, supplying the services, developing the solutions whatever. How much listening do you do to the other side to put together something like this? Cause I would assume you had to have a real sense of what the problems are and what the questions are. What is the what, what is the why, what is the how that's going on on the customer side of this. Tell me about that process if you will. >> Sure, so one of the unique parts of this book is that with these other authors that we brought in to put this book together, and we did this within five days which is a great project, but we really took the people out of the field. So these are the engineers that helped create this book are the ones who are shoulder to shoulder with the customer. Helping them that implementation, talking to them about how they actually implement this. So they talk to the customers, this is brought out from the field. It's not some guy sitting in an ivory tower talking about what you should do. This is actually what you should do because this is the best practice, this is what we hear from customers, this is what works best for all of the people we've implemented SD-WAN with. >> You did this in five days? >> Five days, so we hired a company. >> (John) How many of you 14? >> There was 15 of us. >> 15 in five days, we're you locked up for >> Yes. 24 hours around the clock. I read you went to Miami, I remember that, but I didn't realize it was in that compressed of a time frame. >> Oh yeah, it was great. I mean we all learned, I think, a lot because we come from different geography's. We came from different deployment models and so forth. And yeah we just all got together. >> I love the idea of the book spread. So you've captured a moment in time, of the technology, of the marketplace, but you said this isn't a dummies book, isn't an intro, nor is it a how to manual right. It's not a product manual. So I'm thinking it should be somewhat conceptual and have a life span of more then just the latest release of anything right. Is that part of the goal here? Is this going to have a lifespan? >> Absolutely. >> I mean what do you envision? Again it's interesting you're both engineering and you said the CTO, the CXO level can get some understanding of why some things are going on. >> Sure, you think about it from a CXO perspective right. What are the business challenges that that individual sees. They don't necessarily care about the bits and bites of networking underneath. They know that they need a network, but they also know that it's a really expensive part of their budget. So they need to understand how does it actually support the business and ultimately how can they do more with it, and ideally what we always hear is do more with less. So how do we get to that point and understanding then that's one need that comes from the business side. Well how do we complement that from the technical side of things. How do we solve those problems. But the reality is we're not solving technical problems just to solve technical problems. We're solving them to actually meet the needs of the business. So kind of seeing both side and how they come together is critical to it and I think that's something we tried hard to put into the book. >> When you have a collaboration like this, and you said you brought 15 people together, I'm sure there has to be some disagreement at some point or some discussion. So what were some of those points that came up where somebody thought that perhaps maybe a little more attention here, maybe a little less attention there. Maybe this is something we should bring, no that's not touch that base. How about those discussions, that back and forth, and how did you settle that with so many people in the room? >> So one of the things that we first outlined when we started this process was that this is a safe space. That nobody is really wrong, cause we're also bringing in different perspectives here. So we definitely all decided that we're going to treat each other respectfully. There was a lot of arguments here and there about certain things but we all are professional so we all figured out what the right thing was to do. >> So let's talk about the order, let's talk about how you dealt with it, the what's and the whys. You said why almost didn't make the cut but did make the dress rehearsal and the publishing. How do you put together something like this, that is not a user manual, cause that's the first thing I thought of. I thought okay, you're going to show me what SD-WANS all about and how I'm going to deploy it. VMwares services or solutions rather on my network. But that's not what this is all about. How did you parts that? How did you decide this is the direction we're going to go, and not just make it a how to for people or a dummies. >> So we already have a dummies book, so you should check that out. There's also a PDF on our website, velocloud.com, so we needed another layer, another book that would go deeper on that. We needed something that, I mean you can always write a user manual. Anybody can sit in a room and put that together, but we wanted something that was different. That was actually going to, I guess, comfort customers who were looking at the solution. Give them the right idea that this is what they need, and also what they were going to get into. That's a big question, you don't understand what the implementations going to be like until you're in it. So this gives you that view. So you can use it as a pre-customer read, or you can use it post-sales and really help define what you need to do when you're implementing. >> Nice, nice. We're here at VMworld 2019, this is my you know millionth VMworld. Very interesting, a lot of talk at the top level. Apps and kubernetes and that sort of stuff. At the bottom level, networking and a lot of other things, that maybe the traditional admin, Vsphere admin, already kind of a silo busters from old rolls is already here but sometimes when the networking folks talk with the server folks the words mean different things. They're slightly different tribes lets say. App performance is an SD-WAN context may mean something completely different then app performance in a data center, server context. So you're here at the show. You've got the network edge zone down in the show floor. You've got a booth there, you've got activities, obviously a lot of break out sessions. How have the networker's mixed with the admins? How has it been? And you all are from VeloCloud which has been with VMware for? >> (Rosa) Almost two years in December. >> Talk about both that integration, both corporately and you know here at the show. >> You want to go first? >> Sure, the event has been fantastic for us. We are getting a lot of traction. We actually did a book signing for this book yesterday with six of the authors. 96 books are gone, and I feel like the conversations are really migrating to the networking space. The wide area networking space rather then just data center. You're right there is a lot of overlap in the technology and the lingo and jargon, but I think if we know what were talking about in terms of wide area networking I think those conversations can easily be fudged or gaped. >> Just I would add, I've been at VMware about five years now so I was on the NSX team prior to moving over to the Velo team. So five years ago there was virtually no presence of networking. We were the only networking people here for the most part, And that's really changed substantially. And this year in particular is the first year where there are a lot of networking folks that are roaming the halls here. Whether its understanding the NSX side of the house or whether its SD-WAN there is a significantly greater presence then there's ever been previously. So the other piece is realizing we're a networking company now and a security company right. Those components are integral as a part of the solution and so the makeup has actually begun to change a little bit and there's more co-mingling then there's ever been before in this space. >> You touch on security in the book? >> Absolutely there's an entire chapter on it. >> So C-Cell might be interested as well? >> Absolutely. >> All right so the book I've seen is for purchase here on site. >> (Rosa) Yes. >> In case somebody's watching and they're here tell them where they can get it. >> Go the the VMware book store, it's in Moscone West, and then we also will be making it available on Amazon starting next week. >> All right so here's again a look at the book. SD-WAN one on one, the what, the why and the how. Rosa, Dave thanks for being with us. Congratulations on, I assume first book? >> For me yes. >> Third for me. >> Oh okay, a practiced hand. (laughing) >> First print though. >> Not fair. Thank you both, appreciate the time. >> (in unison) Thank you. >> Back with more continued coverage here on the cube of Vmworld 2019. (techno music)
SUMMARY :
Brought to you by VMware and it's ecosystem partners. here in San Francisco, the city by the bay. at VeloCloud, in the business unit there. and the how. what drove you to put this together? So it's not a user manual, but it definitely gives you a lot of the comments, or a lot of the meat of the book. So can you just talk a little bit about So the reality is that SD-WAN, What is the what, what is the why, what is the how are the ones who are shoulder to shoulder with the customer. 24 hours around the clock. I mean we all learned, I think, a lot of the technology, of the marketplace, I mean what do you envision? that comes from the business side. and how did you settle that with so many people So one of the things that we first outlined So let's talk about the order, So this gives you that view. How have the networker's mixed with the admins? both corporately and you know here at the show. in the technology and the lingo and jargon, and so the makeup has actually begun to change a little bit All right so the book I've seen is for purchase tell them where they can get it. Go the the VMware book store, it's in Moscone West, SD-WAN one on one, the what, the why and the how. Oh okay, a practiced hand. Thank you both, appreciate the time. of Vmworld 2019.
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Marc Creviere, US Signal & Doc D’Errico, Infinidat | VMworld 2019
>> Announcer: Live from San Francisco, celebrating 10 years of high tech coverage, it's theCUBE. Covering VMworld 2019. Brought to you by VMware and its ecosystem partners. >> Welcome back to bright and sunny San Francisco. Gorgeous day here in the City on the Bay. Dave Vellante, John Walls. We continue our coverage here on theCUBE VMworld 2019 with Doc D'Errico from Infodant, CMO. Doc, good to see you again, sir! >> Infinidat. >> Oh Infinidat! Sorry, sorry, sorry. (Doc laughs) But, good to see you! >> I missed my opportunity but thanks, Dave, yeah, it's good to be back. >> John: You bet. Marc Creviere, who is principle systems engineer at US Signal. Good to see you again, Marc here. You were here just last year, right? >> Yeah, I'm an alumni now. >> We'll touch base on that in just a little bit. Doc, first off, let's just talk about the show from your perspective. What you're doing here, explain to our viewers at home what it's all about and what you find the vibe that's going on this year. What kind of sense do you get? >> The vibe is fantastic The sense is great. Coming back to San Francisco, I'm not sure what we were really expecting but it's a really good tempo, a lot of great people, lot of great feedback on our recent launch. A lot of people looking at what're we doing, especially with VMware and availability. Lots of new use cases for snapshot technologies which is fantastic. The 100% availability, it's great getting people come up to you who say "Hey, this is incredible. "You guys actually put some teeth behind your guarantees," "you know, you're not just promising "some future discounts or something. "In the VMworld environment where I've got my VMs, "I need that kind of guarantee, I need that support. "I need to know that my systems "are going to be there when I need them, "because that's my business," right? It's just an incredible vibe. >> And had your party last night? >> We had our party last night. And guess who was there? (laughs) >> I did stop by, it was a very cool venue. The San Francisco Mint, which is, it was kind of awesome. >> Yeah, it was a great, great environment. It was great having people like Dave there, and some of the other industry luminaries talk to our customers. >> I didn't get the tour of the Vault. >> Doc: I'll get you a picture. (laughing) >> So, Marc, I mentioned in the intro, we had you on last year. So, let's look back at the last 12 months for you. US Signal, and what's been going on with you, and what are you seeing here and kind of feeling here in terms of business? >> Yeah, thanks for having me back. It's been another great year at US Signal. We are planning on opening a new data center in the Detroit Metro area, coming up online Q1 of 2020, so that's exciting for us. Purpose built, wholly owned and operated by us, so that's great. It's going to add to our capabilities in that region. We've had a heavy focus on DR technologies, DR as a Service technologies in the past year. Seeing a lot of success, a lot of really good conversations with customers and developing their plans, and bringing our new capabilities to be able to service those needs. >> So, tell us more about the DR as a Service. I mean, that's obviously one of the early sort of cloud-use cases? >> Marc: Yeah. >> Add some color, what is it all about, how does it relate to some of the other DR solutions that are out there and what role do these guys play? >> Yeah, well we conducted a survey of a little over 100 of companies in our region, a little over 100 respondents, and three out of four respondents told us that their biggest concerns were either distributed denial of service or ransomware. Obviously, we've got these bad actors out there. And it doesn't necessarily have to be a bad actor, it could be something force of nature making data unavailable, right? It doesn't matter how great the equipment is if either a bad actor or nature takes it out for you. So, having that protection, we're able to have replication technology. We actually have three separate technologies that we use now. We enhanced our Zerto-based offering to include multi-cloud so we can now have customers replicate to either multiple cloud destinations, us being one of them, or they can replicate to one of their sites and us as a tertiary site, so that's new. They're able to bring their existing licensing. One thing that's exciting to me, near and dear to my heart, is drafts for VMware based on the vCloud availability platform. So, we're a big VM, vCloud shop, big consumer of VMware technologies, that's why we're out here, and that's really exciting to me because it uses built in VMware replication technologies. There's not a lot of learning curve, there's not a lot of extra components. Super simple to get up and running and get RPOs as low as 5 minutes, and it's easy, and it's relatively cheap on an OPX-type platform, where you're paying for storage and per VM and that's it. And then we've also spun up a replication for Veeam, Cloud replication for Veeam based on that ecosystem. So, we've got a lot of entry points, a lot of different ways that we can protect that data and bring it in and get a copy in our data center, so in the event that it becomes unavailable at the source, it's either managed or customer managed. We can get it up and running in a short time frame on our infrastructure. >> And Infinidat is the primary storage underneath all this? >> Marc: Yeah. >> So, explain more about... So, Doc, you and I have had these conversations. The state of the art, whatever, 15 years ago, was three-site data centers, very complex, extremely expensive. I'm interested in how we're attacking that problem today. You obviously, with multi cloud, it's multi-site, but how are we attacking the cost problem, the complexity problem, the "I can't test because I can fail over "but I'm afraid to fail back" problem? >> Well, you know, there's so many different ways to cover all of these. We're talking just about ransomware, you know, ransomware are immutable snaps, become an important play and we have Snap Rotator which will allow you to build a certain number of snaps and have them just rotate through so you're not just creating an infinite number, you're not wasting time and space. And, by the way, time and space, our snapshots are zero-overhead. There's zero performance penalty, unless you want to crash consistent copy, and there's really zero data overhead because it's only the incremental data that you write. So, by creating this, you can do it every couple seconds, and then create some immutable copies of that. You know, make them time out, so they can't be modified, 30 days, 60 days, whatever you decide administratively. So that's great. If you're looking for the DRaaS, the DR as a Service-type capabilities, whether it's single site or multi site, going to cloud service providers makes a lot of sense. 'Cause now, even if it's on premises to a cloud service provider, now you're not having to worry about that second set of infrastructure, you're not having to worry about the management of it, you're not having to worry about the systems integration of it, or even go CSP to CSP, right? Go from one data center within your favorite cloud service provider, hopefully US Signal, to another or any one of our great partners would be super, too. And then, of course, InfiniSync, where if you really want that longer distance capability, why bother with a bunker site? Why bother with all that complexity and that cost and overhead? Put in an InfiniSync appliance in with a VM, and you've got the recoverability. You can go asynchronous distances, and have a zero RPO. >> For way, way less. >> Oh, a fraction of the cost. It'll cost you less for the InfiniSync appliance than it'll cost you for the telecoms equipment that you need for a bunker site. >> If I don't want to build another data center... Go ahead. >> What I'm curious about; I heard a number yesterday in one of the interviews we had, about ransomware. The number kind of blew me away, and I thought about one out of every three companies will be a victim of, or at least a ransomware attack within the next two years, which means everyone, over the next six, if you extrapolate that out. Does that sound about right from what you're seeing? That the intrusions are reaching that kind of frequency? >> I'm surprised it's that low, but I'll let Marc try and answer that. >> We've done some events where we actually demo how easy it is, like, through a phishing attack, to get that in there. So, it's not just about having those protections in place, it's your user training; that's a huge area, training those users what to look for in those emails to avoid that sort of thing, but it's not perfect. People are imperfect. >> Dave: And yeah, you got to have both the protection on the front end, the training for the people, and those recovery options in the event it does get in. In our survey, the average monetary damage was over $150,000 per incident. And that means that some people got off a little lighter and some people paid a lot more, if that was the average. >> Should you pay the ransom? >> Uh, not if you've got a good plan in place that can test it. (laughs) >> But it is, it's a reasonable question. >> Huge quandary. Some are, some aren't, right? Atlanta says "no, we're going to pay a boatload "to protect against it, but we're not going to pay that," what was it, 55,000 or whatever it was? >> Let's negotiate. >> Yeah, I think I said last time I was here that until you've tested your plan, you don't really have one. You know, it rings just as true today. >> What's your business worth? I mean, it's a great question, really. What is your business worth to you? Your business is probably worth a lot more, and they probably throw these numbers out there, thinking "Well...", then becomes a no-brainer for you to pay, and that's the whole point. Because what is ransomware? It's malware that's recoverable, maybe. You're not even sure of that. >> Is it usually, is it operator error? Is it human error that allows that to work more often than not? Or, is it a mixture of technical chops, or just...? >> It's a mixture; you've got to know what vulnerabilities are out there on your infrastructure, you got to make sure you're staying up to date on patching those vulnerabilities, paying attention to any compliance practices, if you're a compliant organization. You know, HIPAA, PCI, our entire infrastructure footprint is actually HIPAA and PCI compliant at the levels that we control. So, it's a heavy lift. You got to stick with it. >> But just to kind of bring it full circle to the comment about the ransom and paying it, you know Marc said something really important, "Have a good plan." I would argue, have a good partner. If you don't have a CISO who's got the chops to be dealing with these types of problems, that's when you need a partner like US Signal to really step in and take you through what's involved in a realistic plan, something that's not going to break the bank, something that's really going to protect your business going forward, because these things are very real. >> One of the concerns I have in this topic is that things happen really fast these days. So, if there are problems, they replicate very, very quickly. How do you address that problem? Is it architecture, analytics, I'm sure process, maybe you could add some color to that. >> All of the above. Having those controls in place, those segregations, we've got, obviously, clear segregation between our management and customer data plans. And each of our customer data plans are separate from each other. It's secure multi-tenancy, not just multi-tenancy. So yeah, it's important to keep those delineations, user access, making sure that people only have access to what they need, and a lot of that, again, is covered by those compliance practices and paying close attention to what they have. There are reasons they have these guidelines and these rules and these audits. It's to help, in large part to protect against that. >> You mentioned before, Marc, you're a heavy VMware user, Infinidat, it's kind of the new kid on the block. People said "Oh, they'll never be--" >> Marc: Not for us. >> What's that? >> Not for us. >> Not for you, right, but for the storage industry. Doc and I have been in the storage industry a while. But, I'm curious as to what you want from a supplier like Infinidat, why you chose Infinidat? How're they doing with regard to VMware affinity, all those things people tend to talk about as important. >> Marc: All right, well-- >> What do you think is important? >> Well, in the Infinidat experience, the company experience, the support experience, it is the benchmark by which we judge all other vendors now. It's that good. The working with us whenever we need equipment, obviously they've got, the price per terabyte is hard to beat with the way they're able to leverage that technology. The responsiveness, if we've needed something in a hurry they've been able to get it to us in a hurry, It ties in extremely well with our infrastructure because we scale so quickly, right? Trends are very hard with us, because there's all these hockey sticks. It's going, going, going, we get a big order and it goes up really fast. I think the theme right now is scale to win? >> Yep. >> So that resonates with us because by having that in place and having that scale ready to go, we don't even need to anticipate those hockey sticks because it's already there. >> Great. Well, gentlemen, thanks for the time. We appreciate that. Doc, Infinidat. (laughs) >> Thank you very much it's great to see you both again. >> John: Look forward to see you in 2020, right? >> I'll be back. >> Yeah, it's become an annual thing. >> Michael said we'll be celebrating our 20th year, so I'm looking forward to seeing-- >> And this is our 10th year here, so anniversaries all across the board. >> Congratulations. >> Congratulations. >> Have a good rest of the show, we appreciate the time. >> Thank you very much. >> Thank you. >> Back with more VMworld 2019, we continue our coverage live here on theCUBE. We're at Moscone Center North in San Francisco. (upbeat electronic music)
SUMMARY :
Brought to you by VMware and its ecosystem partners. Doc, good to see you again, sir! But, good to see you! but thanks, Dave, yeah, it's good to be back. Good to see you again, Marc here. and what you find the vibe that's going on this year. Coming back to San Francisco, I'm not sure what we We had our party last night. I did stop by, it was a very cool venue. and some of the other industry luminaries Doc: I'll get you a picture. and what are you seeing here It's going to add to our capabilities in that region. I mean, that's obviously one of the early and that's really exciting to me "but I'm afraid to fail back" problem? because it's only the incremental data that you write. Oh, a fraction of the cost. If I don't want to build another data center... in one of the interviews we had, about ransomware. I'm surprised it's that low, to get that in there. and some people paid a lot more, if that was the average. that can test it. what was it, 55,000 or whatever it was? you don't really have one. and that's the whole point. that to work more often than not? HIPAA and PCI compliant at the levels that we control. to really step in and take you through One of the concerns I have in this topic and paying close attention to what they have. Infinidat, it's kind of the new kid on the block. But, I'm curious as to what you want the price per terabyte is hard to beat and having that scale ready to go, Well, gentlemen, thanks for the time. so anniversaries all across the board. Back with more VMworld 2019,
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Muneyb Minhazuddin, VMware & Pierluca Chiodelli, Dell EMC | VMworld 2019
>> Narrator: Live, from San Francisco, celebrating 10 years of high-tech coverage, It's theCUBE! Covering VMworld 2019. Brought to you by VMware, and its ecosystem partners. >> And, welcome back here on theCUBE, we're at the Moscone Center here at downtown San Francisco. Gorgeous day outside, by the way. Picture perfect day. Chamber of Commerce weather, but a lot of big news happening inside here for VMworld 2019, along with John Troyer. I'm John Walls, we're joined by Pierluca Chiodelli, who's the Vice President of Product Management at Dell EMC. And, Pierluca, good to see you, Sir. >> Thank you, it's awesome to be here. >> Great, thanks for being here. And Muneyb Minhazuddin, whose the VP of solutions product marketing at VMware. And Muneyb, I know you're right just hot off the presentation stage. >> Yes I am. >> Catch your breath, it's all going to be fine. How was your audience? I'm sure standing remotely. >> Yeah, it was thirteen hundred plus >> Excellent, yeah. Been a big week, already. >> Of course it has, yeah. >> For you and your team. So, first off, let me just, let's step back, talk about the vibe of the show, the theme of the show we saw Pat on the stage. >> Muneyb: Perfect. >> About an hour and a half this morning, just your thoughts about day one and the big announcements that VMware's been making. >> It's been a great week, and it's actually been a great approaching week. As you know, on Thursday we announced intent and acquire both Pivotal and Carbon Black for close to about $5,000,000,000. So, that's, kind of a big announcement by itself, and then how do you kind of bring in and keep day one where you're not too focused on those two, but get the narrative of VMworld across. And really, you know, where we have, you know, CUBE has been with us on this journey for a long time. >> Right. >> We've seen that data center shift into kind of two tangents. One is, you know, workloads into data center break out into public clouds. Second, rerouting into cloud native applications. And, if you've seen our strategy wall when that was kind of the key messages. Hey, we're embracing both the modern app development, the focus on Kubernetes and Tanzoo announcement, was all about to say, "VMware platforms ready "for the breakout of both tangents." First, Cloud Native, we've got Kubernetes, we're bringing it right into vSphere, so that everybody in the audience can support it. Second, the breadth of our cloud everywhere, right, so, we've gone from Amazon to IBM to Google to Ajour. So, it'll give you the infrastructure for your workloads to be your choice. Modernize or migrate. (chuckles) That was a key message for us to kind of land today. For a lot of our audience who are kind of stuck in that same piece of, "What am I doing with my workloads? "What is that platform I got to build on?" And, you know, the key foundational platform being VMware Cloud Foundation. Right, that was our strategy, and I think last year we called out VMware Cloud Foundation in Pat's keynote, because I wrote it 44 times. (laughs) (group laughter) We didn't do it that many times, this time. We only said that's the platform that lands in Amazon, GCP, Ajour, IBM, and 4,200, you know, cloud provider partners. That gives you really that public cloud extension. The second part being modern apps, Kubernetes is a new, kind of, modern app development platform, vSphere is embedded into that project pacific and the whole Tanzoo announcement, right? So, really, a powerful message, what do you think? Was that successfully landed? >> I think so. John, do you feel good about what you heard today? >> Yeah, absolutely, I think VCF is super interesting. I'm also kind of, so there was an announcement today also about the Dell Technologies Cloud Validated Designs for using VCF. So, VCF the layer, which is kind of the VMware stack with some extra magic in it, that can be in, can make a private hybrid cloud, you know, everywhere. So, talk to us a little bit about Dell Technologies Cloud. As I call it, "DTC." The, it's a lot, there's a lot of stuff in that as well, so, but we have two very complicated solutions stacks that are, we're talking about now, so. >> Yeah, absolutely. >> Can you talk a little bit about the validated design and what came out of that? >> Absolutely, so before we go into the validated design, I think it's very important as Muneyb said. When we think about the Dell Technology Cloud, really, it's a component of the best (murmurs) technology from our storage, networking, and also compute, but we did the VMware VCS on top. So, we work very closely with VMware, and today we are announcing today the Cloud Validated Design. As we announce at the Dell Technology World in May, we said Dell Technology Cloud is this, now we want to tell to the people, how you can easily deploy this. What is make this tangible? So, what we are doing today is rapid time to value. We did design and pretested configuration, that we put in Dell Technologies Cloud Validated Design, as we said. The other important things as Muneyb said, right? It's... And, I heard this also from theCUBE. There was a debate with Stu and other people about, what is the Cloud? How I deploy the Cloud? When we think about Dell Technologies we speak with different peoples, and two set of peoples. One is the app, right? The Cloud app, all the app people that, they want to build have all the automation, DevOps operation and all these things. But, behind those people, there's still an infrastructure. So, we are speaking on both things. So, it's very important this paradigm is there, where you can have people that they can consume the technology, and understand how to build the infrastructure to be automated, and build that automation for the Cloud. So, that's what is the Dell Technologies Font Validation Design. Right. So, one of the biggest things here that we announced, is not only the Cloud Validation Design. It's the first one but also the ability to have compute, storage and network together, and also use it primary storage as a primary citizen of the VCF. So, we should talk about that later but that's-- >> Absolutely, and I think to catch onto that, you know, talking about the applications et cetera, you know, again, in the evolution of Cloud, and we've been on the journey for 10 years is, we've had, the first few years of the Cloud journey was, felt a little like a one way street, which was, kind of meant where people were shutting down data centers and going to all these public cloud providers, was always a one-way street. Now, VMware, and if you followed us closely, we had a service call VMware, you know VCHS, which is VMware Hybrid Cloud Service before the vCloud Air and then we came out with this solution, right? The idea was, we thought there's going to be movement back-and-forth but it wasn't the case. People were seriously shutting down and going one way. As we made all these partnerships of you know, Amazon, IBM, we started seeing, and you heard stories of IHS, Freddie Mac on stage where they take six weeks to move 100 applications one way into the Cloud, customers started asking us some questions, say, 'If it's so easy to go that way, is it also that easy to bring it back?' >> Come back! >> Right? And, that kind of lead to the whole kind of Dell partnership, Dell announcement within the Dell Cloud Foundation, you know, VMware Cloud Foundation, Dell Technologies Cloud Platform to say that, "Hey, it's actually..." There's a notion of not going from hardware-specific, you know, just high-tuned for workloads to commodity hardware in the Public Cloud. There's now a need for having common hardware platform on both on-PRAM, off-PRAM because there is a need for customers to take EC2 workloads or, you know, Ajour workloads and bring it on PRAM again. That was just a notion of how fast it is. I add that point because it is so critical to know that your hardware is performing in tuned, to perform for a high business critical applications. People forgot about them the first few phases of going to the Cloud, and now as they think about a hybrid, true hybrid Cloud nature, they want optimal performance in the software layer, in the hardware layer. You know, hence our announcement of Dell Technologies Cloud, Cloud Foundation, Validated Design. It's really supporting that customer notion. >> So, it's like this optimal, or maximized flexibility is what you're trying to give people. I mean, is that-- >> Pierluca: With the Cloud simplicity, that's really the key. >> But what drives that? I know that you have, you've, you know, whether you're on-PRAM or you're off-PRAM, you're going to decide what workload's going to go on what space on, so forth, but is some of that kind of hedging bets for future workloads because you can't predict where they're going to be done or where you want them done? Or is it just providing flexibility today, and let's not worry about tomorrow? You know, it just seems like there's a lot of runway here, if you will. >> Yeah, and I think there's no right or wrong answer. One of the big workshops I do with our customers is really kind of say have you figured out what's your three to five-year application strategy? Because again, in that first phase of that fast migration to the Public Cloud, people were just like CIOs I know, it's like, I have a cloud for strategy, what does that mean? I'm shutting down all data centers, I'm going to the Cloud. Right or wrong, and that's my Cloud First strategy. Now, what they've come to realize is not all workloads work effectively in the Cloud, right? So, they kind of like, hey, put an application strategy to say what are the most optimal applications that will get the benefit of Cloud? These are like, e-commerce retail. They have to have, you know, Black Friday, expanding elasticity. If you got no slow, mundane, you know backend processes doing batch processes of massive storage of in a bank ledger in the back end, they're not going to get that elasticity. I know what it is, I know how many, you know, batch processes I got to run. So, people are getting smarter about which ones get the benefit of, you know, modern app development, or Cloud elasticity, which ones don't really need to have that. So, we've seen best practice customers actually have a very good app strategy, three to five years, and then decide how much of my app strategy is gone to the right, you know, or gone to the left, right? It's pretty much to say, "I don't have to change." 60, 70% of my Eastern European customers, their banking ledgers are still on mainframes. They're not in a hurry to go to the Cloud, whereas, you know Fintech on the East Coast is going, "I'm going to the, I'm going to the Cloud", right? So, it's really that strategy that's, they should take the app strategy and decide what the infrastructure strategy is on the top shelf. >> I think from the storage business, we see that really clear, right? The app is definitely what is moving the things, right? It's not, people they're not thinking anymore because the transformation is in the way that you consume the infrastructure. They not thinking anymore about what I put there, but is about what app I need to run, how I build my app. So, it's the environment. And, I don't think personally I meet a lot of customer. There is not one right way or wrong way, it's an end, right? As you can see also in VCF we have Vsend, VxRail and primary storage. If you look at two years ago, we will be sitting here and say, you know, "It's only this, not the other things." When we, I been in governor conference, three years ago was like, it's all Cloud. It's reality is the world, the information technology world is always the same, where is a natural genius things. Because people, they need to have the trust, right? You cannot run your entire things on something that you don't know or you didn't prove. So, what we give here today with our technology is the flexibility. You can have a Cloud approach, but use the trusted PowerMax, for example, in conjunction with Vsend, in conjunction with the Unity. So, not all these is the proof that you can preserve your investment. But, is the proof that you can start to build those up. And, if you've seen what paths say today, then those app can live everywhere. So, you can go, you can move, it's much easier to move, and you can just trust what you're doing. >> And, you hit an important point on the move part, right? And, people are so easy, like, "Hey I moved a thousand applications in six weeks "to VMC and AWS." The fundamental notion where that was not possible before, was compute, network, storage. Like, we've been doing vSphere for a long time, you know that. And, it wasn't that easy because what used to happen is people thought, "Hey, a virtualized computer, I can move it." But, what did not happen as you moved that, was your databases, you know, your storage, rules didn't follow you into the Cloud. Your networking QOS and, you know, policies, and you know, priorities didn't follow you into the Cloud. So, that was kind of like, you know, you know, I'm an Australian, so it was a half-assed solution, right? (group laughing) So bear with my language, right. It was a half-assed solution, but really what needs to happen is your compute, your network, your storage has to all work together. And, that's where Cloud Foundation was powerful. And, what we're lighting with this Validated Designs is also that capability that your computer, or storage is one unit from a app. Once you package it and make it available in all the platforms, then that migration becomes six weeks, two weeks to move that. Because once you break it apart, it's a nightmare. There's not a lot of folks who have survived database migrations. (laughs) >> I mean maybe Pierluca, you can kind of sum us up here. This conversation's been a lot around evolution, right? And, there's also been an evolution of data center design and what to expect with that, you know, just buying things off the shelf and getting a Var and, you know, the VMAX, and we've been through this whole, and now, we've talked about VxRail, which can be part of this solution. But, can you talk, just, maybe, take us in, take us out with the, or into the future with the Dell Technologies Cloud as the idea of the Validated Design, the idea of this stack from Dell Technologies in storage et cetera, what can we expect in the near future? And, how much guidance will folks get? >> Yeah, absolutely. So, without breaking any NDA things, but this is only the first step. So, the Cloud Validated Design is just the first step where we said, 'Okay, we are tasked in this, "we putting this together." We are working very closely to also solve the entire things that VCF allow you to do first day deployment, allow you to expand the infrastructure, and allow you also to do life cycle management. For example, with the VxRail we already have the life cycle management part. We are working in way to do that also for our storage and other things. So, if you think about that then it becomes as you said, all the policy we put, like with Vworld, will be strategically in that sense, the policies can be carried over. So, then you can go to VMC, you can go to another place where the software and infrastructure can move back. So, because people can do this on PRAM, a replicate exactly but not only replicate the application, but replicate the (murmurs). What do you do on the QOS, all these key things that makes people running enterprise application, right? So that's, I think, it's very exciting moment. I think it's just the starting of this dream. >> Absolutely. >> Gentlemen, thanks for the time. >> Thank you. >> And you're all, you paint a pretty exciting future, don't ya? >> I hope so. >> So, I can't wait to look forward to even VMworld 2020? >> Wait 'til Barcelona, come on? (laughs) >> All right, well I'm not making that road trip, so unfortunately-- >> We going to more out there. >> But, Barcelona's going to be good. >> Yes, thank you for having us. >> No, I'm not the best guy, so, all right good. Hey, gentlemen, thank you for the time. >> Thank you >> Thank you. >> I appreciate it very much, great discussion. >> Thank you very much. >> Thanks for having us. >> Back with more from San Francisco right after this. (techno music)
SUMMARY :
Brought to you by VMware, and its ecosystem partners. Gorgeous day outside, by the way. the presentation stage. How was your audience? Been a big week, already. For you and your team. that VMware's been making. And really, you know, where we have, you know, So, really, a powerful message, what do you think? John, do you feel good about what you heard today? can make a private hybrid cloud, you know, everywhere. So, one of the biggest things here that we announced, As we made all these partnerships of you know, Amazon, for customers to take EC2 workloads or, you know, So, it's like this optimal, or maximized flexibility Pierluca: With the Cloud simplicity, I know that you have, you've, you know, is gone to the right, you know, or gone to the left, right? But, is the proof that you can start to build those up. So, that was kind of like, you know, you know, and what to expect with that, you know, just buying things So, then you can go to VMC, you can go to another place going to be good. Hey, gentlemen, thank you for the time. Back with more from San Francisco right after this.
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Paul Savill, CenturyLink & Omar Sunna, GE Healthcare | VMworld 2019
>> Man: Live from San Francisco celebrating 10 years of high tech coverage, it's the Cube. (music) Covering VMworld 2019. (music) Brought to you by VMware and it's ecosystem partners. >> And welcome, indeed, here to the cube and our coverage of VMworld 2019. We are in the Moscone Center in San Francisco. They're open, they're back in business and so is VMware. And we're watching the folks stream out from this morning's keynote session, Pat Gelsinger hosting that session. And it was an impressive setup to say the least. Thousands packing that ballroom downstairs for a plethora of announcements, all from Pat Gelsinger. I'm John Walls, Justin Warren joins us. We haven't been together for a while, it's good to see you.- It's been a little while, yeah. >> How've you been? >> I've been well, I've been well. >> Yeah. >> Yeah. >> I'm surprised they brought us back together after the last time. >> I don't believe... let's not talk about that incident. >> I thought it went so well, we just end on a high note. But it is a pleasure to be with Justin, we'll be with him throughout the week, Monday, Tuesday, Wednesday, our coverage here. We're joined right now by two guests, Paul Savill, whose the SVP of Network and Technology Solutions at CenturyLink and Omar Sunna who is the Director of Digital Products at GE Health care. And gentlemen thanks for being with us, it's good to have you here on the Cube. >> Thank you John. >> First off, let's just, gimme, your both, your take just on VMWorld 2019. What you're looking for, what you're expecting, and kind of the early vibe that you have going on. Paul, why don't you take that first? >> Sure, one of the things I've really been impressed with is how VMware is expanding, the kind of open nature of it's relationships, it's developing it's ecosystem, really broadening it out, it's making a number of acquisitions to enable new capabilities. And we're really excited about that. CenturyLink and VMware have been partners for, I think, around 12, 15 years. As we've been building out our own cloud services and so it's a very exciting time to see all this technology coming together in the way that it is. >> I love with the way you put it too, acquisitions. Pat made a little comment about that, it's like, "I can't wait to find out who I'm "going to buy next." >> Yes. >> And they've been, certainly been in a full speed ahead modefor the past year, year and a half. Omar, you're take, early. >> Yeah, man, I think I look at it from a health care solutioning perspective and it's exciting to see this level of technology and kind of the building out of the ecosystem and what could it enable for health care consumers. Especially with the big focus around privacy and and data management. I think some of their, and security, some of their latest acquisitions could actually help grow that ecosystem and offer more options especially to the health care industry. >> All right, well now let's talk about your portfolio at work then, a little bit, at GE Healthcare. Obviously health systems, health care's a huge user you know, these days, well it's kind of simplifying it a bit, but just talk about what you're concerns are, what your attention is, and kind of the things that are keeping you up at night, these days, in terms of health care and what you're doing in the IT space. >> You know, I mean, I think the, you know when we look at our customer environment globally, you know, we tend to kind of summarize some of the key challenges for our customers around three pillars. Access, so being able to provide access to all the patients that need it, regardless of location. With aging population in a lot of developed countries, with also a lot of people having the means to receive more proactive health care, it is challenging the health systems to be able to provide adequate access to patients. Capacity, providing capacity when the resources, including the human capital resources, that health systems have. So how do you free up your specialists to make sure that they're able to provide the right level of patients who need it, patient care for the patients that need it. As well as clinical efficacy. How do we help with software applications, with technology, to help reduce the variation of care, and improve patient outcomes, regardless where the patient is receiving care, within the rural community or with advanced academic medical centers. So we try to kind of think of our solution technologies as helping our customers solve for access, capacity, and clinical efficacy. >> Yeah, so a lot of health care, it's kind of a retail setup in that there's lots of hospitals and other allied health professionals who have lots of different locations that they need to provide heath care for them and that technology needs to live where the patients are and where the doctors are. So it was interesting to see, in the key note, earlier this morning, talking about edge and different kinds of edge as well. We've got thin, medium, and thick edge, according to VMware. So how do you see that rise of edge computing effecting the way that you deal with health care. >> Yeah, I mean tremendous, actually, opportunity for us. And GE is working on capitalizing on the technology, on edge technology, to allow us to bring in AI application right to, where kind of within the customer network. And that is, that's helping us solve for a lot of concerns around private security as well as moving large data sets to the cloud to process, to be able to get benefit out of algorithm and additional applications. So that's actually an exciting area. And agree with you, I mean we're seeing more and more large distributed health care networks emorph, in the U.S. we've definitely seen huge merger and acquisition movement that we continue to see, and consolidation. And then we also see that globally. With regional delivery networks coming up and being able to have software applications live within this distributed network and provide information for the right clinician at the right time is a big initiative for us. And for us this makes a huge difference in the way our providers are able to deliver care for their patients. >> This seems like an ideal opportunity for the folks at CenturyLink to help you with that. >> Abso-- (nervous laughter) >> Yeah, that's right, I mean CenturyLink really, to that point, sees this landscape evolving rapidly. And we even have a phrase internally we use that, "The network is the data center." We believe that in the future, compute is going to be distributed so widely, in such a broad geography and dropped in places where it's most efficient to run it and where it's most efficient to connect it with network, that really, the data centers we think about it today, becomes this very widely distributed platform that is connected together with high performance networking solutions. And that's part of what we're working with GE Healthcare on. >> I'm old enough to remember when "The network is the computer" was the slogan that we're all following now, and it seems that's actually coming true now. Where we have this idea of it, it's not just cloud, and it's not just data centers, and it's not just edge, it's actually a combination of all of them. And you need to be able to deal with that technology wherever it needs to live. Which is, I think, is a positive change from what we were talking about a few years ago, where it seemed to be, we had to make one choice. Now the choice is you actually need a bit of everything. >> Right. >> Tell me about your decision, or at least in terms of on-prem, off-prem, and health care, I would assume, extremely sensitive, obviously, to security concerns and management and certain policies about who can access what, where, when and how, whatever. How are you going about making that decision in this new multi-cloud environment, this hybrid-cloud environment, when people are making migrations, you know, with their businesses, and they're going off-prem. But you, I would assume, have to be a lot more sensitive, or more sensitive to other factors than, perhaps, other businesses have to be. >> Yeah, we definitely do. There is, you know, with regulations, you know, and, for example in Europe, GDPR, there's in country regulations around where data resides. All of that kind of plays a factor in customer adoption of technologies and where they're comfortable. We've talked a lot of CIOs in the health care sector and a lot of them say, "Hey, listen we're on a journey, "we're used to hugging our servers, "we're used to controlling it, and technology has evolved. "But, in terms of our policies, ability to accept liability "of data breaches and what technology providers are willing "to sign up for. "All of that plays a roll in that journey." Like Justin had mentioned, it is actually a, in developing an ecosystem, where you have combination of on-prem and off-prem, is a lot of where health care health systems are investing their money. So we're seeing certain data that resides on-prem that is mission critical versus more historic data can go into cloud technology, cloud storage technology and others. But, there's no doubt that we're at an inflection point, we're seeing a lot more health systems sign up to cloud based SAS applications. Invest in private cloud hosting service, invest in also public cloud hosting services. And all of that actually will create, as a software provider, all that could actually help us create more opportunities and more solutioning for our customers. I love listening to some of the cloud computing power that would allow us to develop newer applications. So it's actually exciting, it's a journey with our customers, you know, we're choosing to kind of be alongside of our customers and help them. Doing a lot of education. And being able to have a relationship with CenturyLink, be able to see the advances and availability of resources that CenturyLink makes available for us as well as other partners that we have help us really make sure that we're able to build the right level of technology meeting the health care customer needs. >> So Paul, fill in the gaps a little bit about where CenturyLink is in trying to solve this, I wouldn't say dilemma, but it certainly is a puzzle of some sort, right, as decisions are made about what's going to be off loaded, what's not, how are we going to access, what do we allow. How do you see CenturyLink's role when you have a customer like Omar, like GE Healthcare, coming to you with their unique needs, and addressing those? >> Sure, well, as unique as GE Healthcare is in the health care industry, there are some common characteristics about how we are seeing enterprise customers look at these situations. And one of them is that placing compute on the premise itself, that, that is generally the most expensive real estate that an enterprise has when it has to go in the hospital, when it has to go at the retail store location. And a lot of enterprises today are doubling the amount of compute and storage that they're having at their premise locations every year because the volume is just growing so much. That's becoming a problem, because you don't want your, you don't want your hospital becoming a bigger and bigger data center, so to speak, right? And so the way that we're approaching the problem and working with this, is in VMware was actually, you know, expressing a very similar viewpoint about the edge and about how the thick edge and the thin edge, and the thin edge of the customer premise is where you want to have the lightest load, but you want to have the most critical applications that are sitting there, you want to have the information that you have to protect the most in a most guarded way that's most important for your operations there. But from there you can more efficiently run things from a distance backing out going all the way back to the public cloud core, if you connect it with high performance networking from end to end. And so what CenturyLink has been doing is putting together these solutions that make that balance of trade, so to speak, between the cost of compute, the cost of where you have to put it, to where it best can be housed, what kind of latency performance that it needs to have to meet it to the performance specification, all the way back to the public cloud design and how to tie it in to the public cloud. And that's where we've been building our competency and the solutions we've been putting together for customers. >> You mentioned the need for high performance networks in there so I've got to ask you about 5G. From what I know about 5G it looks like the kind of situation you have with health care, where you've got lots of mobile tablet devices, you've got lots of other actual equipment IoT devices in a health care situation. That seems like an ideal use case for 5G. Is that what hot 5G is actually for, is the hype real? >> Well, 5G is certainly going to transform the world in terms of it's ability to provide wireless high bandwidth connectivity and low latency connectivity to devices. But, edge compute is not about 5G. You can have edge compute without 5G. In fact, it's a bit of a myth that edge compute can't arrive until 5G comes, because edge compute is something that is available to do today. And, in fact, CenturyLink is deploying edge compute solutions with, by basically building fiber into enterprise locations and then housing compute at different areas of the network at the point that's most optimal for the solution. And there are a variety of wireless solutions that can be used in that campus environment other than 5G to connect wireless devices back securely and safely to that edge compute that sits there. >> But it seems like it still should be, or at least looks like it could be a game changer in what it's going to allow in terms of, I guess, advancing edge computing. >> Right? I mean, you're still going to provide new capabilities and new reach and new functionalities that don't currently exist. >> I take Paul's point, though, because there are other technologies like Wi-Fi 6, for example, which is, it's basically the same thing as 5G, it just uses a different radio communications mechanism. But, and I also take your point that you can do edge computing today, absolutely. You can put computing into retail situations and you can have, I mean we have tablet devices now. We have laptops. So we kind of have edge computing. We always have, it just now, now it has a name. >> Yes, that's correct. >> So, tell me before we let you go, Catalyst Award winner from CenturyLink and VMware, Paul, first off let's talk about how you assess that, what's the determination, the criteria, for that and then I'm going to let crow a little bit Omar, about receiving that award. But tell us about the Catalyst Award first. >> Yes, well we call it the Catalyst Award because, when you think about it, a catalyst is something that excites a chemical process. Technically that is the definition of catalyst. But catalyst, in the way we view it, is something that we wanted to recognize a person or a company, that we felt like was really driving innovation, that was really solving a problem and working, also collaboratively together with VMware and CenturyLink in solving some of these problems. So we looked at GE Healthcare and really felt like, in a place where certainly we have seen such great advances in health care administration and building to save people's lives. Oddly, medical errors is becoming an increasing amount of now the problems in terms of death rates. Because, while we have so many ways to solve problems, so many ways to address it, that portion of what's causing deaths is actually on the rise. And so GE Healthcare is taking the technology that they're deploying and helping to solve that problem, that's why we wanted to recognize Omar and the company today. >> An honor for you I would assume you're all pretty proud of that. >> Yeah, absolutely, and thank you, and, yeah, I mean it's was really fantastic to be recognized by our partners. And a great testimony to the team at GE Healthcare. And our team wakes up in the morning and our mission is to improve lives in the moment that matters. A lot of our technology is used in mission critical and the way we're able to deliver that to our customers relies heavily on our ability to leverage advances in technology and be able to improve our ability to deliver our different applications for our customers. So this, actually been fantastic, the relationship has been tremendous for us. Where we have hosted our solutions in CenturyLink, the level of support that we have received have really enabled us to deliver important application for our customers and meet their SLAs and meet their clinical use cases and the needs of software uptime. So that has been tremendous for us. >> Well congratulations. >> Thank you. >> Well then thanks for your time, both of you. And enjoy the show, enjoy San Francisco, we've got good weather this week. >> That's right, yeah. >> So get out and enjoy that, thank you Paul and Omar. Back with more on the Cube, you're watching our coverage here live in San Francisco in VMWorld 2019. (music)
SUMMARY :
Brought to you by VMware and it's ecosystem partners. We are in the Moscone Center in San Francisco. after the last time. it's good to have you here on the Cube. and kind of the early vibe that you have going on. of acquisitions to enable new capabilities. I love with the way you put it too, acquisitions. a full speed ahead modefor the past year, year and a half. of the ecosystem and what could it enable and kind of the things that are keeping you up at night, the health systems to be able to provide adequate of different locations that they need to provide data sets to the cloud to process, to be able to get benefit at CenturyLink to help you with that. that really, the data centers we think about it today, Now the choice is you actually need a bit of everything. other businesses have to be. And being able to have a relationship with CenturyLink, like Omar, like GE Healthcare, coming to you with their to the public cloud core, if you connect it in there so I've got to ask you about 5G. is something that is available to do today. in what it's going to allow in terms of, I guess, that don't currently exist. and you can have, I mean we have tablet devices now. and then I'm going to let crow a little bit Omar, But catalyst, in the way we view it, An honor for you I would assume you're all pretty And a great testimony to the team at GE Healthcare. And enjoy the show, enjoy San Francisco, So get out and enjoy that, thank you Paul and Omar.
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Evren Eryurek, Google Cloud | Google Cloud Next 2019
>> Live from San Francisco, it's theCUBE. Covering Google Cloud Next 19. Brought to you by Google Cloud and its eco system partners. >> Hello everyone welcome back here to theCUBE live coverage here in San Francisco, California. We're in the Moscone Center on the ground floor here. Day three of three days of coverage for Google Cloud Next 2019. I'm John Furrier, my co-host, Dave Vellante, Stew Miniman out there getting stories out there He's also been hosting. Dave, great to see you! Evren, Director of Product Management at Google Cloud, doing all the data streaming the data. We're streaming data right now. >> Absolutely, this is it. This is it. >> So let's stream some data. So streaming data has certainly been around for awhile. Dave and I when we first started theCUBE ten years ago, it was part of Silk and Angle Media hadoop was just a small little project. That really kind of was the catalyst moment for around big data that's now evolved to it's own position. Now you have streaming data, you have cloud scale, the Cloud has really changed the game on big data. Changed the nature and dynamics of it and one of the things is streaming data, streaming analytics as a core value proposition for enterprises, and this is fairly new. >> Very true. >> What's your take on it and how does it relate to what's going on with Google Cloud? >> I am glad we're talking about that. This is an exciting time for us. Streaming like you said is growing. Batch is not going away, but streaming is actually overtaking a lot of the applications that we're seeing. Today we're seeing more streaming applications taking place than batch. One of the things that we're seeing is everybody is gathering data from all over the place from your websites, from your mobile phones, from your IoT devices, just like we're doing right now. There's data coming in and people want to make decisions real time whether it's in the banking industry, in your healthcare, retail, it doesn't matter which word cycle you're working with and we're seeing how those messages how those events are coming in and where the decisions are being made real time, milliseconds we're talking about. >> Why is it happening, what's the real catalyst here? Just tsunami of data, nature of the value, all of the above, what's the? >> We believe one of the things is like you mentioned Cloud really changed the game. Where people actually can reach globally data and messages at scale. We're talking about billions of messages coming in and processing capacity is available now we can actually process it and make a decision within milliseconds and get to the results. To me, that was the biggest catalyst. And we're seeing many of us have grown up using batch data, making decisions now everybody is talking about M.L. and A.I. You need that data coming in real time and we can actual process it and make the decision. To me, that's the catalyst. >> First of all we love streaming data, this topic. One we believe streaming where shooting video but data, real time, has been one of the keys you see self driving cars monging of data, mixing and matching of data to get better signal and better machine learning and I got to ask you, because batch is certainly the role for batch is kind of old school it's some old techniques it's been around for awhile, >> It's not going to go away though. >> It's not going to go away it's established it's place but the knee jerk reaction of existing old school people who haven't migrated to the new modern version they go to the batch kind of mind set. I want to get you're reaction. Data lakes, there's nothing flowing in a lake. Okay, so there is a role for a data lake streaming gives me the impression of like an ocean or a river or something moving fast. Talk about the differences because it's not just the data lake okay that's a batch kind of reaction. >> It is a complementary. Actually it's not going away because all of that data that we had in the back is something we're relying on to really augment and see what's changing. So if you're in a retail house you're buying something, you're going to make a decision and your support is actually behind it. OK here's Evren, he's actually shopping around this and he wants this for his son. That's what the models built around it is looking at what is my behavior and in the moment making a decision for me. So that's not going away. The other thing is batch users are able to take advantage of the technology today. If you look at our data flow, same set of codes, same set of capability can be used by the same folks that are used to batch. You don't have to change anything so that actually we help folks to be up skilled using the same set of tools and become much more experienced and experts in the streaming too. That's not going away we help both of the worlds. >> So, complementary. >> Very complementary. >> So data lakes are good for kind of setting the table if you have to store it somewhere but that's not the end game though. >> No. >> Okay. >> I wonder if we could talk about the evolution from batch to real time streaming. And my favorite example, because I think people can relate to it, is fraud detection. Ten years ago, it was up to the user to go through his or her bill, right? And then you started to get inundated with false positives, and now lately, last couple of years it's getting better and better. Fewer false positives, usually when you usually no news is good news. News is usually bad news now, so take that example and use that to describe how things have evolved. >> I am a student of AI I did my Master's and PhD in that and I went through that change in my career because we had to collect the data, batch it and analyze it, and actually make a decision about it and we had a lot of false positives and in some cases some negative misses too which you don't want that either. And what happened is our modeling capabilities became much better. With this rich data, and you actually tap into that data lake, you can go in there the data is there, and this is spread data we can pull in data from different sources and actually remove the outliers and make our decision real time right there. We didn't have the processing capability we didn't have a place like PostUp where globic can scan and bring in data at hundreds of gigabytes of data. That's messaging you want to deal with at scale no matter where it is and process that, that wasn't available for us. Now it's available it's like a candy shelf for technologists, all the technology is in our hands and we wanted all these things. >> You were talking about I think the simplicity of, I'm able to use my batch processes and apply them. One of the complaints I hear from developers sometimes is that the data pipeline is getting so complicated. You were talking about you're grabbing stuff from websites, from financial databases, and so depending on what data store you're using and what streaming tools you're using or other A.I. tools, the pipeline gets very complicated the A.P.Is start to get complicated but I'm hearing a story of simplicity. Can you elaborate on that and add some color? >> Yeah I'm glad you're asking that question you may have heard, yesterday we announced a whole bunch of new things and ease of use is the top of the line for us. Really are trying to make it easy. If you look at this eco pipeline we're building with data flow, it helps you end to end. Data engineered no matter which angle their coming in should be able to use their known skill sets and be able to build their pipelines end to end so that you can achieve your goals around streaming. We aren't really having to go through a lot of the clusters of the pipelines we are going to continue to push that ease of use over and over, we're not going to let it go because make it easier, everyone will adapt it faster. >> You mentioned you got a PhD in A.I., Master's in A.I., A.I. has been around for awhile. A lot of people have been saying that but machine learning certainly has changed the game. Machine learning plus cloud has been a real accelerant in the academic and now commercial aspects of A.I. So I want to get your thoughts on the notion of scale which you talk about, plus the diversity of data. So if you can bring in data at scale get more signaling points more access to data signaling the diversity of data becomes very key. But cleanliness, data cleaning, used to be an old practice of you get a bunch of data, stack it up, put it in a pile corpus, and you kind of go clean it. With streaming, if it's always flowing there's kind of a behavioral characteristic of data cleanliness, data monitoring, talk about that diversity of data clean data and how that feeds machine learning and makes better A.I. >> Good one, so that's where we actually are able to, if you look at PostUp, you're building joint your table set of datas with streaming set of datas you can actually put it into data filter it and make those analyses. And within both, we provide enough of a window for you to be able to go back, hey are there things that I should be looking at, up to seven days we can provide a snapshot because you will always find something you can go back, you know what I'm going to remove this outlier. All worrying about all the processing we do before we bring in the data so there's a lot of cleanliness that takes place but we have the built in tools we have the built in capabilities for everyone to get going. It's ready to scale for you from the moment you open it up. That's the beauty of it, that's the beauty of when you start from PostUp to data flow to streaming engine it's ready for you to run. >> Talk about what's changed though when people hear diversity of data they get scared, oh my god I work, heavy lifting. Now it's a benefit. What's easier now to deal with all of these diverse data sets, what's the easy revolution? >> So do you remember the big V's of big data right? Volume, velocity, variety. People were scared about the variety. Now I can actually bring in my data from different places. Again, let's go back to the shopping example. Where I shop, what I shop for, that actually defines my behavior around it. Those data sit somewhere else. We bring those in to make a decision about okay everyone wants to go buy a scooter or whatever else, that's the diversity of the data. We're now able to deal to with this at scale. That was not available we could actually bring in and render this, now everything is going to do this much more sequential. We're now able to bring all of them together process it at the same time and make the decision. >> What's the key products that will make all of those happen, take us through the portfolio if I want that would you just said which is a great value. It sounds like not a heavy lift all I have to do is point the data sources into this engine, what are the products that make up that capability? >> So if I look at the overall portfolio on Google Cloud from our data analysts point of view, so you actually can bring in your data through PostUp, lots of messaging capability globally and you can actually do it regionally because we have a lot of regional requirements coming from various countries and data flow is where we actually transfer the data. That's where you do the processing. And you use all of these advance analytics capabilities through your streaming engine that we released and you have your B query, you have your OMLs, you have all kinds of things that you can bring in you're big tables and what have you. That's all easily integrated end to end for any analyst to be able to use. >> What is beam? >> Beam ah that's great I'm so glad you asked that question I almost forgot! Beam is one of our open sources we donated the same set, just like we did with Koppernes few years ago, we donated to the open source it's growing. This year actually it won The Technology Awards. So the source is open the community really took it upon, they use that toolkit to build their pipelines you can use any kind of a code that you want Java, Gold, whatever you want to do it and they contribute. We use it internally and externally. It's one of those things that's going to grow. We have a lot of community events coming up this year. We might, and I've seen the increase, I'm really really proud of that community. >> Evren, I love the A.I. can't get my mind off your background and academic because I studied A.I. as well in the 80s and 90s all that good stuff. Young kids are flocking to computer science now because A.I. is very sexy, it's very intoxicating and it's so easy to deal with now. You guys had a hack-a-thon here with NCAA using data really kind of real time and kind of cool things are happening. So it's a moment now for A.I. this is the moment. What's your advice, you've been through the wars you've done your chore duty all those years now it's actually happening. What's your advice for young people who want to come in, get their hands dirty, build things, use A.I., what's your advice, how they should tackle that? >> I am living it, both of my sons one is finishing junior high, the other one is a senior in high school, their both in it. So when I hear my young kids come and say, "hey bubba we just built this using transfer flow." Like it is making me really proud. At the middle school level they were doing it. So the good news is we have all of this publicly available data for them. I encourage every one of them. If you look at what we provide from Google Cloud, you come in there, we have the data for them, we have the tools for them, it's all ready for them to play so schools get free access to it too. >> It's a major culture but how do they get someone who's interested but never coded before, how do they jump right in and get ingratiated and immersed into the code, what do they do? >> We have some community reaches that we're actually doing as Google. We go out to them and we're actually establishing centers to really build community events for them to really learn some new skills. And we're making this easy for them. And I'm happy to hear more and do it, but I'm an advocate I go to middle schools, I go to high schools, I go to colleges. Colleges are a different story. We provide school classes and we provide our technologies at the universities because enterprises need that talent, need that skill, when they graduate, their going to hire them just like I'm going to hire them into my organization. >> So my number one complaint my kids have about school, they're talking about kids that, oh school's going to be a waste it's so linear I can learn everything on YouTube and Google.com. All the stuff I learned in school I'm never going to use in the real world. So the question is, what skill should kids learn that could be applied to machine learning, thinking, the kind of constructs, data structures, or methodologies, what are some of the skills and classes that can tease out and be natural lead into computer science and machine learning A.I.? >> You know, actually their going to build up the skills. The languages will evolve and so forth. As long as they have that inner curiosity asking new questions, how can I find the answer a little faster, that will push them towards different sets of tools, different sets of areas. If you go to Berkeley in here, you will see a whole bunch of high school kids working side by side with graduate students asking those questions, developing those skill sets, but it's all coming down to their curiosity. >> And I think that applies for business too. I mean there's a big gap between the A.I. haves and have-nots I always say. And the good news here that my take away is, you're going to buy A.I, you're going to buy it from people like Google and you're going to build it and apply it, you're going to spend time applying it, and that's how these incumbents can close the gap and that's the good news here. >> Very true if you look at it, look at all the A.P.Is that we have. From text recognition to image recognition to whatever it is, those are all built models and I've seen some customers build some fantastic applications starting from there and they use their own data, bring it in, they update their model for their own businesses cases. >> It's composition it's composing. It's not coding it's composing. >> Exactly, it's composing. We are taking it to the next level. That abstraction is going to actually help others come into the field because they know their field of expertise, they can ask direct questions. You and I may not know it but, they will ask direct questions. And they will go with the tools available for them for the curiosity that they reach. >> Okay what's the coolest thing you're working on right now? >> Coolest thing, I just y'know streaming is my baby. We are working on, I want to solve all the streaming challenges, whatever the industry is. I really want to welcome everyone, bring you to us. I think, if I look at it, one of the things we discussed today was Antos was fantastic right? I mean we're really going to change the game for all enterprises to be able to provide those capabilities at the infrastructure. But imagine what we can do with all the data analytics capabilities we have on top of it. I think this is the next five years is going to be fantastic for us. >> What's the coolest use case thing you see emerging out of streaming? >> Ah you know, yesterday I actually had one of my clients with me onstage, AB Tasty. They had a fantastic capability that they built. They tried everything. And we were not their first choice, I'll be very open. They said the same thing to everybody, you guys were not our first choice. They went around, they looked at all the tool kits, everything. They came they used PostUp, they used data flow, they used engine, streaming engine. And they AB testing for marketing. And they do that at scale, billions of messages every minute, and they do it within seconds, milliseconds, 32 milliseconds at most. Because they have to make the decision. That was awesome, go check. I don't know if you're familiar with that. One of our customers, they provide these real time delivery. In India, imagine where things are. In global leaders, you can actually ask for a food to be delivered and they have to optimize, depending on what the traffic is and go with their scooters, and provide you this delivery. They aren't doing it as well. Okato, they believe, provide food in UK 70% of the population use our technologies for real time delivery. Those are some great examples. >> Evren, great insight, great to have you on. Just a final word here, next couple years, how do you see the trajectory of machine learning A.I. Analytics feeding into the value of making life easier society better, and businesses more productive? >> We are seeing really good pull from enterprises from every archival that you can think of. Regulated, retail, what have you. And we're going to solve some really hard problems whether it's in health care industry, financial industry, retail industry, we're going to make lives of people much easier. And their going to benefit from it at scale. And I believe we're just scratching the tip of it and you're seeing this energy in here. Year over year this has gotten better and better. I can't wait to see what's going to happen next year. >> Evren Eryurek great energy, expert at A.Is, streaming analytics, again this is early days of a brand new shift that's happening. You get on the right side of history it's A.I. machine learning, streaming analysts. Thanks for coming, I appreciate it. >> Thank you so much, take care guys. >> More live coverage here in theCUBE in San Francisco at Google next Cloud 2019. We'll be back after this short break.
SUMMARY :
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Ranga Rangachari, Red Hat | Google Cloud Next 2019
>> Announcer: Live from San Francisco, it's theCUBE, covering Google Cloud Next '19. Brought to you by Google Cloud, and its ecosystem partners. >> We're back at Google Cloud Next, at the new, improved Moscone Center. This is day two of theCUBE's coverage of Google's big Cloud show. theCUBE is a leader in live tech coverage, my name is Dave Vellante, I'm here with my co-host Stu Miniman. John Furrier is walking the floor, checking out the booth space. Ranga Rangachari is here, he's the Vice President and General Manager of Cloud Storage and hyper-converged infrastructure at Red Hat. Ranga, good to see you again. >> Hi Dave, hi Stu, good to see you again too. >> Thanks for coming on, this show it's, it's growing nicely, good thing Moscone is new and improved. How's the show going for you? >> Show's going really good. I just had a chance to walk around the booths and a lot of interesting conversations and, the Red Hat booth too, there've been a lot of interesting conversations with customers. >> A lot of tailwinds these days for Red Hat. We talk about that a lot on theCUBE, this whole notion of hybrid cloud, you guys have been on that since the early days. >> Yeah. >> Multi-cloud, omni-cloud, hyper-converged infrastructure, it's in your title. It's like that all the moons are lining up for you guys, you know is it just luck, skill, great predictions powers, what's your take? >> Well, I mean, I think it's a combination of those, but more importantly, it's about listening to our customers. I think that's what gives us, today, the permission to talk to our customers about some of these things they're doing, because when we talk to them, it's not just about solving today's problems, but also where they're headed, and anticipating where they're going, and the ability to meet their needs. So is, I think. >> So the Google partnership, we were talking earlier, it started 10 years ago with the hypervisor. >> Yup. >> And it's really evolved. Where is it today, from your perspective? >> Well, I think it continues to, it continues to cooperate in the technical community very well, and a couple of data points, one is on Kubernetes, that started four, five years ago, and that's going really strong. But more importantly, as the industry matures, there are, what I would call, special interest groups that are starting to emerge in the Kubernetes community. One thing that we are paying very close attention to is the storage SIG, which is the ability to federate storage across multiple clouds, and how do you do it seamlessly within the framework of Kubernetes, as opposed to trying to create a hack, or a one-off that some vendors attempted to do. So we try to take a very wholistic view of it, and make sure, I mean the industry we are in is trying to drive volumes, and volumes drives standards, so I think we pay very, very close attention-- >> And the objective there is leave the data in place if possible, provide secure access and fast access, provide high-speed data movement if necessary, protect the data in motion. That is a complex problem. >> It is, and that's why I think it's very important that the community together solves the problem, not just one vendor. But it's about how do you facilitate, the holy grail is how do you facilitate data portability and application portability across these hybrid clouds. And a lot of the things that you talked about are part and parcel of that, but what users don't wanna do is stitch them together. They want a simple, easy way. And most common example that we often get asked is can I migrate my data from one cloud to the other, from on-prem to a public cloud beta based on certain policies. That's a prototypical example of how federated storage and other things can help with that. >> Ranga, bring us inside some of those customer conversations, 'cause we talk on theCUBE, we go back to, customers always say I want multi-vendor, yes, I don't want lock-in, portability is a good thing, but at the end of the day, some of these things, if it's some science experiment or if it's difficult, well, sometimes it's easier just to kind of stick on a similar environment. We know the core of Red Hat, it's if I build on top of rail, then I know it can work lots of places, so where are customers at, how does that fit in to this whole discussion of multi-cloud. >> So, what I can kind of give you a perspective of the hybrid cloud, the product strategy that we've been on for better part of a decade now, is around facilitating the hybrid cloud. So if you look at the open, or the storage nature of the data nature of the conversations, it's almost two sides of the same coin. Which is, the developers want storage to be invisible. They don't wanna be in the business of stitching their lungs and their zone masking all that stuff. But yet at the same time they want storage to be ubiquitous. So, they want it to be invisible, they want it to be ubiquitous. So that's one of the key themes that we are in from our customer. >> Come on, Ranga, you guys are announcing storage list this year, right? >> Yeah, (laughs) exactly. (laughs) So that's a great point. The other part that we are also seeing from our customer conversations is, I think, let me give you, kind of the Red Hat inside out perspective. Is any products, any thing that we release to the market, the first filter that we run through is will it help our customers with our open hybrid cloud journey? So that kind of becomes the filter for any new features we add, any go-to-market motion, so that there is a tremendous amount of impedance match if you will. Between where we're going and how customers can succeed with their open hybrid cloud journey. >> So, in thinking about some of the discussions you're having with customers on their hybrid cloud strategy, specifically, what are those conversations like, what are the challenges that they're having? It's a maturity spectrum, obviously, but what are you seeing at each level of the spectrum, and where are some of those execution, formulation and execution challenges? >> So, as the industry evolves and the technology matures, the conversation change, and 12, 24 months ago it was a dramatically different conversation. It was an all around help me get there. Now the conversation is people really understand, and most of our conversations that we see, and even the other industry players are seeing this, is the conversation starts with on-prem looking out, as opposed to a cloud looking in. So, customers say look I've invested a tremendous amount of assets, intellectual horsepower into building my on-prem infrastructure and make it solid, now give me the degree of freedom for me to move certain workloads to one or many of these public clouds. So that's kind of a huge shift in the conversations we have with the customers. If you click one or a couple of levels below, the conversation talks about things like security as you pointed out. How do you ensure that if I move my workload my overall corporate compliance stuff aren't anywhere compromised. So that's one aspect. The other aspect is manageability. Can it really manage this infrastructure from a proverbial single pane of glass. So now the conversations are less about more theoretical, it's more about I've started the journey help me make this journey successful. >> So when you talk about the perspective of, I've built up this on-prem infrastructure, I've invested a ton it in, and now help me connect, I can see a mindset that would say think cloud first. Of course, the practical reality says I've got all this tactical debt. So how much of that is gonna be a potential pitfall down the road for some of these companies, in your view? >> Well, I think it's not so much of a technical debt. In one way you could call it a technical debt, but the other aspect is how do you really leverage the investment that you've made without having to just say well I'm gonna do things differently. So, that's why I think the conversations we have with our customers are mutually beneficial, because we can help them, but the same token they can help us understand where some of the road blocks are. And through our products, through our services, we can help them circumvent or mitigate some of those-- >> And those assets aren't depreciated on the books, they've gotta get a return on them, right? >> So, Ranga, we know that one of the areas that Red Hat and Google end up working a lot together is in the Cloud Native Computing Foundation. >> Yep. >> Bring us up to speed as to where we are with that storage discussion, 'cause I think back to when Docker launched it was oh, it's gonna be wonderful and everything, but we all live through virtualization, and we had to fix networking and storage challenges here, and networking seemed to go a little further along and there's been a few different viewpoints as to how storage should be looked at in the containerized and the Kubernetes SDO world that we're moving towards today. >> So one example that illustrates storage being the center of this is there is a project called Rook.io. If you're familiar with this, think of it as kind of sitting between the storage infrastructure and Kubernetes. And that is taking on a tremendous amount of traction, not just in the community, but even within the CNCF. I could be wrong here, but my understanding it's a project that's in incubation phase right now. So we are seeing a lot of industry commitment to that Rook project, and you're gonna see real, live use cases where customers are now able to fulfill the vision of data portability and storage portability across these multiple hybrid clouds. >> So Kubernetes is obviously taking off, although again, it's a maturity level. Some customers are diving in, and others maybe not so much. What are you seeing is some of the potential blockers, how are people getting started? Can you just download the code and go? What are you seeing there? >> That's a very interesting question, because we look at it as projects versus products. And, Kubernetes is a project. Phenomenal amount of velocity, phenomenal amount of innovation. But once you deploy it in your production environment, things like security, things like life cycle management, all those things have to be in place before somebody deploys it. That's why, in OpenShift you've seen the tremendous amount of market acceptance we've have with OpenShift is a proof point that it is kind of the best Kubernetes out there, because it's enterprise ready, people can deploy it, people can use it, people can scale with it, and not be worried about things like life cycle management, things like security, all the things that come into play when you deal with an upstream project. So, what we've seen from a customer basis, people start to dabble, and they'll look at Kubernetes, what's going on, and understand where the areas of innovation are. But once they start to say look I've got it deployed for some serious workloads, they look at a vendor who can provide all the necessary ingredients for them to be successful. >> We're having a good discussion earlier about customer's perspectives, I wanna get as much out of that asset as I possibly can. You said something that interested me. I wanna go back to it. Is customers want options to be able to migrate to various clouds. My question is do you sense that that's because they wanna manage their risk, they want an exit strategy? Or, are they actively moving more than once. Maybe they wanna go once and then run in the cloud. Or are you seeing a lot of active movement of that data? >> I think the first order of bit in those discussions that are about the workloads, What workload do they wanna run? And once they decide this is the, for instance, with the Google Cloud, with the MLAI type of workloads, lend themselves very well to the Google Cloud infrastructure. So when a customer says look this is the workload I wanna run on-prem, but I want the elastic capability for me to run on one of these public clouds, often the decision criteria seems to be what workload it is and where's the best place to run it in. And then, you know, the rest of the stuff comes into play. >> So, Ranga, let's step back for a second. I come out of this show, Google Cloud this year, and I'm hearing open, multi-cloud, reminds me of words I've heard going to Red Hat, some every year. Help us to kind of squint through a little bit as to where Red Hat sits in the customer. If I'm the c-suite of an enterprise customer day, where Red Hat fits in the partnership with customers, and where the partners fit into that overall story. >> So, our view is let's look at it customer end. And practically every customer that we talk to wants to embark on an open hybrid cloud storage. And I wanna kind of stress on the open part of it, because it's the easier way to say okay let me go build a hybrid cloud. The more difficult part is how do you facilitate it through open hybrid cloud story. And that's the march, if you will, that we've been on for the last five plus years. And, that business strategy and the technology strategy has not, we've been unwavering in that. And, the partners are and they say we truly believe that for us to be successful, for our customers to be successful, we need an ecosystem of partners. And the cloud providers are absolutely a critical ingredient and a critical component of the overall strategy, and I think together, with our partners, and our core technology, and our go-to-market routes, we think we can really solve our customers, we are solving them today, and we think we can continue to solve them over time. >> You talk about open, open has a lot of different definitions. And again it's suspected UNIX used to be open. (laughs) I see that potentially as one, real solid differentiator of Red Hat. I mean, your philosophy on open. What do you see as your differentiators in the marketplace? >> Well, I think the first is obviously open like you said, the second part is, I think I hinted upon it earlier, which is, projects are good. I think they are almost a fountain and of ideas and things, but I think where we spend a tremendous amount of hours of energy is to transform it from the upstream project into a product. And if you go back, Red Hat Linux, I think we've shown that Linux was in the same kind of state of vibe in other ways, 10, 20 years ago. And I think what we've shown to the industry is by being solely committed and focused on make these projects enterprise ready, I think we've shown the market leading the way, and making it successful. So I think for us, the next wave, whether it's Kubernetes, whether it's other things, it's a very similar recipe book, nothing dramatically different, but fundamentally what we want to do is help our customers take advantage of those innovations, but yet not compromise on what they need in their enterprise data centers. >> The recipe book is similar, but you've gotta make bets. You've made some pretty good bets over the years. >> Yep. >> We could debate about OpenStack, but I mean, even there. But that's not an easy thing for an open source company to do. 'Cause you've gotta pick your poison, you have to provide committers, what's the secret sauce there? >> Well, I think, first off, I think the number one secret sauce from our perspective is add more technical and intellectual horsepower to these communities. And, not so much for the sake of community, it's about does it solve a real business problem for our customers? That's the way we go about it because in the open source community, I don't even know, hundreds of thousands of open source projects are out there. And we pay, and our office of the CTO pays very close attention to all the projects out there, identify the ones that have promise, not just from our perspective but from customers' perspective, and invest in those areas. And a lot of them have succeeded, so we think we'll do well in that. >> Alright, so, Ranga, one of the biggest announcements this week is Anthos from Google. Wanna get your viewpoint as to where that fits. >> I think it's a good announcement, I haven't read through all the details, but part of it is I think it validates, to a certain extent, what Red Hat has been talking about for the last five, seven years. Which is you need a unified way to deploy, manage, provision your infrastructure, not just on public clouds, but a seamless way to connect to the on-prem. And I think Anthos is a validation of how we've been thinking about the work. So we think it's great. We think it's really good. >> Ranga Rangachari thanks so much for coming back on theCUBE >> Thank you, David! >> It's always a pleasure. >> Thank you again, Stu. >> Have a great Red Hat summit coming up in early May, theCUBE will be there, Stu will be co-hosting. You're watching theCUBE, day two of Google Cloud Next 2019 from Moscone. We'll be right back. (upbeat music)
SUMMARY :
Brought to you by Google Cloud, and its ecosystem partners. Ranga, good to see you again. How's the show going for you? the Red Hat booth too, since the early days. It's like that all the moons are lining up for you guys, and the ability to meet their needs. So the Google partnership, And it's really evolved. and make sure, I mean the industry we are in And the objective there is leave the data And a lot of the things that you talked about We know the core of Red Hat, it's if I build on top of rail, of the data nature of the conversations, So that kind of becomes the filter in the conversations we have with the customers. down the road for some of these companies, in your view? but the other aspect is how do you really is in the Cloud Native Computing Foundation. in the containerized and the Kubernetes SDO storage being the center of this What are you seeing is some of the potential blockers, is a proof point that it is kind of the best that that's because they wanna manage their risk, often the decision criteria seems to be If I'm the c-suite of an enterprise customer day, And that's the march, if you will, What do you see as your differentiators in the marketplace? the second part is, I think I hinted upon it earlier, You've made some pretty good bets over the years. for an open source company to do. That's the way we go about it Alright, so, Ranga, one of the biggest announcements for the last five, seven years. Have a great Red Hat summit coming up in early May,
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Dominic Preuss, Google | Google Cloud Next 2019
>> Announcer: Live from San Francisco, it's theCUBE. Covering Google Cloud Next '19. Brought to you by Google Cloud and it's ecosystem partners. >> Welcome back to the Moscone Center in San Francisco everybody. This is theCUBE, the leader in live tech coverage. This is day two of our coverage of Google Cloud Next #GoogleNext19. I'm here with my co-host Stuart Miniman and I'm Dave Vellante, John Furrier is also here. Dominic Preuss is here, he's the Director of Product Management, Storage and Databases at Google. Dominic, good to see you. Thanks for coming on. >> Great, thanks to be here. >> Gosh, 15, 20 years ago there were like three databases and now there's like, I feel like there's 300. It's exploding, all this innovation. You guys made some announcements yesterday, we're gonna get into, but let's start with, I mean, data, we were just talking at the open, is the critical part of any IT transformation, business value, it's at the heart of it. Your job is at the heart of it and it's important to Google. >> Yes. Yeah, you know, Google has a long history of building businesses based on data. We understand the importance of it, we understand how critical it is. And so, really, that ethos is carried over into Google Cloud platform. We think about it very much as a data platform and we have a very strong responsibility to our customers to make sure that we provide the most secure, the most reliable, the most available data platform for their data. And it's a key part of any decision when a customer chooses a hyper cloud vendor. >> So summarize your strategy. You guys had some announcements yesterday really embracing open source. There's certainly been a lot of discussion in the software industry about other cloud service providers who were sort of bogarting open source and not giving back, et cetera, et cetera, et cetera. How would you characterize Google's strategy with regard to open source, data storage, data management and how do you differentiate from other cloud service providers? >> Yeah, Google has always been the open cloud. We have a long history in our commitment to open source. Whether be Kubernetes, TensorFlow, Angular, Golang. Pick any one of these that we've been contributing heavily back to open source. Google's entire history is built on the success of open source. So we believe very strongly that it's an important part of the success. We also believe that we can take a different approach to open source. We're in a very pivotal point in the open source industry, as these companies are understanding and deciding how to monetize in a hyper cloud world. So we think we can take a fundamentally different approach and be very collaborative and support the open source community without taking advantage or not giving back. >> So, somebody might say, okay, but Google's got its own operational databases, you got analytic databases, relational, non-relational. I guess Google Spanner kind of fits in between those. It was an amazing product. I remember that that first came out, it was making my eyes bleed reading the white paper on it but awesome tech. You certainly own a lot of your own database technology and do a lot of innovation there. So, square that circle with regard to partnerships with open source vendors. >> Yeah, I think you alluded to a little bit earlier there are hundreds of database technologies out there today. And there's really been a proliferation of new technology, specifically databases, for very specific use cases. Whether it be graph or time series, all these other things. As a hyper cloud vendor, we're gonna try to do the most common things that people need. We're gonna do manage MySQL, and PostgreS and SQL Server. But for other databases that people wanna run we want to make sure that those solutions are first class opportunities on the platform. So we've engaged with seven of the top and leading open source companies to make sure that they can provide a managed service on Google Cloud Platform that is first class. What that means is that as a GCP customer I can choose a Google offered service or a third-party offered service and I'm gonna have the same, seamless, frictionless, integrated experience. So I'm gonna get unified billing, I'm gonna get one bill at the end of the day. I'm gonna have unified support, I'm gonna reach out to Google support and they're going to figure out what the problem is, without blaming the third-party or saying that isn't our problem. We take ownership of the issue and we'll go and figure out what's happening to make sure you get an answer. Then thirdly, a unified experience so that the GCP customer can manage that experience, inside a cloud console, just like they would their Google offered serves. >> A fully-managed database as a service essentially. >> Yes, so of the seven vendors, a number of them are databases. But also for Kafka, to manage Kafka or any other solutions that are out there as well. >> All right, so we could spend the whole time talking about databases. I wanna spend a couple minutes talking about the other piece of your business, which is storage. >> Dominic: Absolutely. >> Dave and I have a long history in what we'd call traditional storage. And the dialog over the last few years has been we're actually talking about data more than the storing of information. A few years back, I called cloud the silent killer of the old storage market. Because, you know, I'm not looking at buying a storage array or building something in the cloud. I use storage is one of the many services that I leverage. Can you just give us some of the latest updates as to what's new and interesting in your world. As well as when customers come to Google where does storage fit in that overall discussion? >> I think that the amazing opportunity that we see for for large enterprises right now is today, a lot of that data that they have in their company are in silos. It's not properly documented, they don't necessarily know where it is or who owns it or the data lineage. When we pick all that date up across the enterprise and bring it in to Google Cloud Platform, what's so great about is regardless of what storage solution you choose to put your data in it's in a centralized place. It's all integrated, then you can really start to understand what data you have, how do I do connections across it? How do I try to drive value by correlating it? For us, we're trying to make sure that whatever data comes across, customers can choose whatever storage solution they want. Whichever is most appropriate for their workload. Then once the data's in the platform we help them take advantage of it. We are very proud of the fact that when you bring data into object storage, we have a single unified API. There's only one product to use. If you would have really cold data, or really fast data, you don't have to wait hours to get the data, it's all available within milliseconds. Now we're really excited that we announced today is a new storage class. So, in Google Cloud Storage, which is our object storage product, we're now gonna have a very cold, archival storage option, that's going to start at $0.12 per gigabyte, per month. We think that that's really going to change the game in terms of customers that are trying to retire their old tape backup systems or are really looking for the most cost efficient, long term storage option for their data. >> The other thing that we've heard a lot about this week is that hybrid and multi-cloud environment. Google laid out a lot of the partnerships. I think you had VMware up on stage. You had Cisco up on stage, I see Nutanix is here. How does that storage, the hybrid multi-cloud, fit together for your world. >> I think the way that we view hybrid is that every customer, at some point, is hybrid. Like, no one ever picks up all their data on day one and on day two, it's on the cloud. It's gonna be a journey of bringing that data across. So, it's always going to be hybrid for that period of time. So for us, it's making sure that all of our storage solutions, we support open standards. So if you're using an an S3 compliant storage solution on-premise, you can use Google Cloud Storage with our S3 compatible API. If you are doing block, we work with all the large vendors, whether be NetApp or EMC or any of the other vendors you're used to having on-premise, making sure we can support those. I'm personally very excited about the work that we've done with NetApp around NetApp cloud buying for Google Cloud Platform. If you're a NetApp shop and you've been leveraging that technology and you're really comfortable and really like it on-premise, we make it really easy to bring that data to the cloud and have the same exact experience. You get all the the wonderful features that NetApp offers you on-premise in a cloud native service where you're paying on a consumption based service. So, it really takes, kind of, the decision away for the customers. You like NetApp on-premise but you want cloud native features and pricing? Great, we'll give you NetApp in the cloud. It really makes it to be an easy transition. So, for us it's making sure that we're engaged and that we have a story with all the storage vendors that you used to using on-premise today. >> Let me ask you a question, about go back, to the very cold, ice cold storage. You said $0.12 per gigabyte per month, which is kinda in between your other two major competitors. What was your thinking on the pricing strategy there? >> Yeah, basically everything we do is based on customer demand. So after talking to a bunch of customers, understanding the workloads, understanding the cost structure that they need, we think that that's the right price to meet all of those needs and allow us to basically compete for all the deals. We think that that's a really great price-point for our customers. And it really unlocks all those workloads for the cloud. >> It's dirt cheap, it's easy to store and then it takes a while to get it back, right, that's the concept? >> No, it is not at all. We are very different than other storage vendors or other public cloud offerings. When you drop your data into our system, basically, the trade up that you're making is saying, I will give you a cheaper price in exchange for agreeing to leave the data in the platform, for a longer time. So, basically you're making a time-based commitment to us, at which point we're giving you a cheaper price. But, what's fundamentally different about Google Cloud Storage, is that regardless of which storage class you use, everything is available within milliseconds. You don't have to wait hours or any amount of time to be able to get that data. It's all available to you. So, this is really important, if you have long-term archival data and then, let's say, that you got a compliance request or regulatory requests and you need to analyze all the data and get to all your data, you're not waiting hours to get access to that data. We're actually giving you, within milliseconds, giving you access to that data, so that you can get the answers you need. >> And the quid pro quo is I commit to storing it there for some period of time, is that you said? >> Correct. So, we have four storage classes. We have our Standard, our Nearline, our Coldline and this new Archival. Each of them has a lower price point, in exchange for a longer, committed time the you'll leave the product. >> That's cool. I think that adds real business value there. So, obviously, it's not sitting on tape somewhere. >> We have a number of solutions for how we store the data. For us, it's indifferent, how we store the data. It's all about how long you're willing to tell us it'll be there and that allows us to plan for those resources long term. >> That's a great story. Now, you also have this pay-as-you-go pricing tiers, can you talk about that a little bit? >> For which, for Google Cloud Storage? >> Dave: Yes. >> Yeah, everything is pay-as-you-go and so basically you write data to us and there's a charge for the operations you do and then you charge for however long you leave the data in the system. So, if you're using our Standard class, you're just paying our standard price. You can either use Regional or Multi-Regional, depending on the disaster recovery and the durability and availability requirements that you have. Then you're just paying us for that for however long you leave the data in the system. Once you delete it, you stop paying. >> So it must be, I'm not sure what kind of customer discussions are going on in terms of storage optionality. It used to be just, okay, I got block and I got file, but now you've got all different kind of. You just mentioned several different tiers of performance. What's the customer conversation like, specifically in terms of optionality and what are they asking you to deliver? >> I think within the storage space, there's really three things, there's object, block and file. So, on the object side, or on the block side we have our persistence product. Customers are asking for better price performance, more performance, more IOPS, more throughput. We're continuing to deliver a higher-performance, block device for them and that's going very, very well. For those that need file, we have our first-party service, which is Cloud Filestore, which is our manage NFS. So if you need managed NFS, we can provide that for you at a really low price point. We also partner with, you mentioned Elastifile earlier. We partner with NetApp, we're partnering with EMC. So all those options are also available for file. Then on the object side, if you can accept the object API, it's not POSIX-compliant it's a very different model. If your workloads can support that model then we give you a bunch of options with the Object Model API. >> So, data management is another hot topic and it means a lot of things to a lot of people. You hear the backup guys talking about data management. The database guys talk about data management. What is data management to Google and what your philosophy and strategy there? >> I think for us, again, I spend a lot of time making sure that the solutions are unified and consistent across. So, for us, the idea is that if you bring data into the platform, you're gonna get a consistent experience. So you're gonna have consistent backup options you're gonna have consistent pricing models. Everything should be very similar across the various products So, number one, we're just making sure that it's not confusing by making everything very simple and very consistent. Then over time, we're providing additional features that help you manage that. I'm really excited about all the work we're doing on the security side. So, you heard Orr's talk about access transparency and access approvals right. So basically, we can have a unified way to know whether or not anyone, either Google or if a third-party offer, a third-party request has come in about if we're having to access the data for any reason. So we're giving you full transparency as to what's going on with your data. And that's across the data platform. That's not on a per-product basis. We can basically layer in all these amazing security features on top of your data. The way that we view our business is that we are stewards of your data. You've given us your data and asked us to take care of it, right, don't lose it. Give it back to me when I want it and let me know when anything's happening to it. We take that very seriously and we see all the things we're able to bring to bear on the security side, to really help us be good stewards of that data. >> The other thing you said is I get those access logs in near real time, which is, again, nuanced but it's very important. Dominic, great story, really. I think clear thinking and you, obviously, delivered some value for the customers there. So thanks very much for coming on theCUBE and sharing that with us. >> Absolutely, happy to be here. >> All right, keep it right there everybody, we'll be back with our next guest right after this. You're watching theCUBE live from Google Cloud Next from Moscone. Dave Vellante, Stu Miniman, John Furrier. We'll be right back. (upbeat music)
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Pali Bhat, Google Cloud | Google Cloud Next 2019
live from San Francisco it's the cube covering Google cloud next 19 taught to you by Google cloud and its ecosystem partners hello everyone welcome back to the cubes live coverage here in San Francisco the Moscone Center for the Google clouds conference is called Google next 2019 I'm Chevrolet my costume in omim de Ville ante is also here doing interviews our next guest is probably Bob who's the VP of product and design for server lists at Google probably great to see you thanks for coming on thank you for having me so you'd be a you're the VP of Product you got the keys to the kingdom on the roadmap you're seeing all the announcements obviously server lists cloud run was announced cloud code was mentioned on stage that's going to come out tomorrow so code build run this is DevOps this is actually happening yeah you know what super exciting is that we've we're finally solving the problem for customers and taking a customer centric view of this I'll start off with a little bit of the journey we took to get here right as we were talking to customers they kept coming back to three things that they wanted from us the first thing they wanted was agility they understand that you know cloud could give them great cost savings but they also wanted to be able to move faster and innovate right the second bit they wanted was having the flexibility to be hybrid and multi-cloud super important especially to our largest customers and then the third piece was they've really struggled with his journey to cloud and they wanted our partnership to make it a much more seamless and non-deceptive journey so as we talk to them about these three things right we came back to the drawing board and said hey what are the products that we can build to make their journey to be more cloud native and more agile much more seamless and future-proofed that much better right so we came back to the drawing board and came up with three products that you talked about this now the first was we looked at developers and their journeys and we said look they're building in traditional ideas like IntelliJ or vs code optimized for local development right and they're not writing a lick of Yama they're right for kubernetes and we said okay how can we take those environments and help those development teams build cloud native apps really really easily so really just turbocharging their cloud native development so bill cloud code which extends their local ids and lets them deploy to remote clusters so they can get full debugging full deployment building its integrated in the cloud build and they get the full kubernetes a development environment right in place so cloud build was released earlier you got enhancements of that so news the hard news here is enhancements to cloud build cloud code as new announce here yeah cloud run announced today that's right so this is the new this is the new hard news that's right so bottom line what does it mean for a developer so like I didn't enterprise so I'm a cio I'm a site C so I'm gonna be putting all my eggs in the cloud basket I've still gonna run the on Prem day is gonna be critical to my strategy it's this early day set up time or are you guys thinking it's more about the setup or more the life cycle of CI CD pipelining all the way to application deployment a great question John so I think where we are in this journey is that enterprises have started off with something that's the most basic cloud ready workloads that have been lifted and shifted we now see the next wave of workloads this is the 80% of workloads that are still on premise we see them start to get cloud ready and cloud native and the way that their enterprises are gonna do that is by building on top of the standards we've created like kubernetes and sto and key native and what cloud cold and build and run and of course Anthes that we talked off this morning as well these are great managed solutions from Google fully managed solutions from Google that let you get cloud native fast all right Polly wonder if you can help us you know spin through I see a disconnect in the market so you know Google showed great leadership in the container space and of course kubernetes we came out of Google and when I look at like cloud run okay it's helping to connect that and Kay native to kubernetes in service when I talk to a lot of the developers and service it's not the infrastructure moving up the stack it's they didn't want to even think about it it's right built in the cloud that's right I focus on the application I don't even think about that so I've got this big gap as to you know on premises forget it I don't never want to touch it or think about it and you know the one of the reasons you know there's the term server list would put it to the side but now if I need one is this environment I don't want to think about it and we know hybrid is a reality but there's this big disconnect as to what kind of developer are you or you a DevOps person that came from an infrastructure background or are you just building apps today yeah yeah yeah we're definitely seeing that from our customers right so one thing that we hear all the time is developers don't want to just not think about infrastructure they actually want the managed service and the platform they're building on to think about the infrastructure and optimize it for them so it's not this program will infrastructure it it's cloud run programming the infrastructure for you so you don't have to do it and I think increasingly you're gonna see products like cloud run and anthos and cloud code let developers focus just on code because that's what they want to do right I don't ever seen a developer say I really want to write a Yama file or I want to set up more configuration parameters right so I think we're gonna get to the place where you have developers being able to focus on cold and all of the rest of this being taken care of by platforms like code and run and anthos automation becomes key I mean Jennifer Lynn's demo I thought was very game-changing because she made the comment developers can focus on their code and agility not access permissions and all the configuration management that goes on under the you guys gonna provide that in an automatic programmable way we're gonna believe he is and she kind of teased out service missions so service missions kind of point in the future which is app developers are gonna still need to be aware of maybe not aware of what cloud run how to manage those sirs as they come stand up and get pulled down dynamically yeah how do you view that because this has become a gonna become complex is that gonna be automated is that where cloud run comes in you expand on this whole impact of service meshes because that's the next level that's right that's right so if you think about key native it's built on kubernetes and it forms the kind of triad with sto as well right and what a product like cloud run does is it lets you not have to think about that because at the end of the day we don't want developers to have to think about K native what cloud run is it takes care of the K native portability and compatibility for you and all you do is focus on the code itself right so ultimately we want developers to focus on their applications but I will say this right we do care about another important constituent which is all of those folks who've already got an apps built out there can those workloads be serviced as well and that's part of the problem we're trying to solve it that's an operational thing all right so let's take a step back here so server list actually fanfare has been great we're seeing a lot of traction people are enamored by it because functions as a service has been very compelling whether it's retail managing you know that spiked loads and becomes we see some some use cases where it's like you know really an amazing thing where is it limiting what is the next level growth for server list where do you see you mention workloads and we see people deploying functions and being happy with it are there limitations with serverless how does it go to the next level can you take a minute to describe the current state of server lists and what's coming around the corner now so great question the first thing I'll say is that there's a ton of developers who come up to us every day and tell us cloud functions is awesome right and they really like functions as a service they like the event-driven approach to it they like the service full approach but several is provides love the programming model that's great but there's an another large contingent of developers who tell us look this is super constraining for what I want to do I don't get to choose the libraries I want you're forcing me into a particular programming model can you give me more flexibility and what they see every day is the flexibility that containers provide especially on kubernetes right and what we've tried to do with cloud run is try to bridge those worlds where you get all of the flexibility that you want right that you get with containers but then combine it with what what you really want with the operational model which is service right so you pay only for what you use and of course you get the agility of service as well now one thing that we've noticed heard some great stories about this is a customer of ours Veolia which is one of the early adopters of cloud run and they've been partnering with us we thank them for it they are running a complex workload you talked about retail what Veolia does is they're large French multinational they do energy water and environmental services these are things that need to be highly reliable very complex and these are workloads that have existed for ages right and what viola is doing is using cloud run to run that complex workload but in a service in a service full way running in a service fashion all right take a minute explain what's a complex workload for your definition what is a simple workload because guys again we love functions Stu and I always talk about how great it is but what's that what's the D mark line when when does something become complex by your standards where you guys are addressing they could think describe the characteristics of a complex workload so the first thing is does the workload require flexibility right meaning are their custom workloads sometimes even legacies C++ or C applications do they need to pull that functionality in as well right do they need to pull random artifacts from across the enterprise to combine it and sometimes these are things that have been built over 20 years ago they're really critical mission critical pieces of software that need to be able to trigger and run right and can we actually take that flexibility but also combine in with a highly reliable environment right so were close like New Orleans there is no downtime right they need to be up 24 by 7 for 365 days of the year right so that flexibility plus that level of reliability is what we look at when we look at complexes so you're getting into complex systems where you got some code may be written in a mainframe COBOL in C++ we mentioned that was my jamm what kind of old dating myself but that was state-of-the-art back in the 90s so I'm running an agile job maybe of standing up cloud native but I need a use software and data from a system that's where is that where the container piece comes that ku burning it on either kubernetes but cloud run also supports docker so let's say you're running it in a docker container all you need is a docker container image and we can host that workload on program yeah Polly help us understand where where Google kind of what what's the same one what's different compared to the other service offerings out there just what I've heard feedback the last year or two is you know the great thing about server list is it's really easy to get started I've talked to marketing people that have no coding background that you know can get off and running it but doing complex mission-critical stuff yeah like we understand you know there is no magic wand NIT no silver bullet to make it easy but you know what do you see as Google's role in in this broader marketplace and you know where does open-source fit into that too yeah yeah so first I'll start off by saying there's a whole host of functions that are running on cloud functions which are relatively lightweight simple targeted event-driven functions those work great where we see us really making a difference for our customers is in two ways the first is get these more complex workloads that are currently running in a container whether it's a docker container our and or on gke for that matter and bring the agility of service to those workloads so it's the first thing it's something that we think is very unique because combining containers with serverless the second bit really is the open approach we've taken right built on top of K native key native as you know has a number of partners so one of the cool demos that you'll see during during Google Cloud next is you'll see a workload being shifted from cloud run on gke to the IBM cloud IBM is one of our partners 4k native without a single line of code and that flexibility is something that I think customers really decided talk about the business pen and some of the benefits at the business level in a developer level at the operations level can you hit those three points yeah of serverless silikal server less on those three sectors what's the benefits yep so we talked about the benefits for developers for developers it's simply about agility focus on your own code don't worry about Gamal don't worry about ki native you don't have to worry about any of that we'll take care of it for you the second benefit that I'll talk about is again this is just a benefit for the CIO which is hey we're gonna give you the flexibility and the openness so you can have portability of your workloads across whatever and why are you environment you want whether it's on tram or in a cloud whether it's Google or another cloud that's the second benefit the third bit is all of the operational benefits of service one of the things you'll see us do and continue to commit to do is we'll bill you to the hundredth of a millisecond right and so you'll continue to get that with all of the resiliency you expect of Google infrastructure security also pretty much baked in as well security is big then there's a fully managed offering from Google and so you'll get security compliance policies all Big Data of course we watched the keynote and we watch every word from Koreans giving Diane green a little tip of the hat which was nice signal a lot of class a great respect for that but jennifer lynn said something i want to get your reaction to she was kind of talking about her thing doing a great demo he changing and when she said this would allow you to negotiate better contracts okay that might have been a slip of the tongue your reaction that that implied to me I took that and say whoa that means leverage shifts to the customer your thoughts and that kind of maybe a slip of the tongue but if you're saying that I couldn't have options and choice yes Janice pardon this is what customers want and at Google what we're focused on is giving customers what they want and one of the things that customers are worried about today is lock-in and especially in the server this area because the current offerings are so proprietary customers are worried about it because they want server lists for all the benefits offers that we talked about here but they do want that flexibility and that's what we negotiate actually we know Oracle is very strict on their cloud this is going to give customers the choice is the saying that's whoa you want a license renewal yeah that's what you're getting out here so Polly you talked about choice and flexibility you know kubernetes gives some of that concern with serverless is if I look at a sure if I look at AWS if I look at Kay native you know those three aren't the same I talked there there's a small start-up called trigger mesh that's getting Kay native to work with AWS lambda but do you see a future is there you know I've talked to the CMC F I've looked at some of the various pieces that you know serverless isn't just something that I'm baked into a cloud yeah look I think we've seen extraordinary momentum around Kay native it's very similar to what we had seen when in the early days of kubernetes this huge amount of ecosystem interest and so we'll see continued innovation where you'll see work load portability come to service and I'm confident in that because of all of the momentum we were seeing around Canada so we're committed at Google to K native and its success so you'll see us continue to innovate yeah talk about open source open source becomes a very strategic part you can Shin kubernetes which you guys were the that have the DNA the founding fathers of kubernetes now teams on the team went to vmware someone have Microsoft some stay within Google containers certainly we see what you guys have done when four against four J but open source still this fear of open source I mean I don't mean it in a way that it's going to be inhibited and primitive but support making sure s LA's work latency microservice is going to be involved you mentioned k- yeah so as open source accelerates the time then value for the code that also triggers this op side of the serviceability and reliability and support what's your thoughts on that how are you guys how do you see the industry supporting that that critical piece of the puzzle yeah could not be more critical right for customers to be able to adopt this because the number one thing that we need to do for customers is give them a managed offering that lets them not have to worry about security lets them not have to worry about compliance lets them not have to worry about policies or identity etc right bake all of that into the managed service and then the second operational bit is which is as important this goes to what Thomas talked about at the very end of his keynote which is the open source announcement is we want to make it simple for customers to adopt it will be supported by Google and the partner you'll get unified billing unified support and one person to call when you have a problem yeah Polly we're at an interesting point in open source today because they're they want to get your opinion as a product person and your relationship with open source because you know there's a certain cloud out there it's they're gonna give you open source as a managed service but you have some of the companies that are making like open source databases changing their policies to try to fight against just being you know taken over by somehow the big players how does Google react to that yeah for us the approach is all about partnership because we think together we can better serve customers needs and best serve them and so our approach has always been about partnership so whether it's kubernetes or key native or the larger manage store manager open source offerings that we talked about earlier in the keynote we want to bring all of these together so we can serve customers so you're gonna see us continue to like support the open source equals because we believe that innovation is absolutely critical to helping our customers really start innovated in be agile final question I know we're tight on time I want to get this in because you know I see a lot of positive I've come out of the show there's been some critical analysis around you've got to build up salespeople and all the field stuff which is you guys are well aware of but one of the things that was kind of teased out in the open source announcement was the role of Google having their own ecosystem Asli the C & C has been a big tailwind for Google you guys been a big part of that ecosystem as a cloud commercial provider and with these kinds of server list you're going to have an ecosystem starting to develop kind of a thousand flowers blooming pun intended so how do you see that in your area because this is going to be super important partnering ecosystem support yeah which is you know developer traction distribution of software integration opportunities that's why in monetization all kind of come together your thoughts huge hugely critical for us and that's something that we've been focused on we have a rich ecosystem of partners for service we're gonna continue to build it out across all of the different pieces you need one of the things we didn't talk much about was our entire operational stack monitoring logging all of those pieces right we need to bring all of those together along with all of our partners we have a big partnership with the likes of data dog right number of others so we're gonna continue to partner with the entire ecosystem so we can go solve the problems that they have are you guys gonna show them the white space where they can play is gonna be part of the strategy yeah so it's gonna be across the board you'll see us continue to support the key native ecosystem tremendously and like lean into that and we're already excited to see all the different offerings that are exist on key native same thing with kubernetes we're gonna continue to like press hard we've got on the operational side we've got an offering called open census it's got lots of traction again just open monitoring of applications so we're gonna continue to do that across the board yeah probably great to have you on vice president of product and design got the keys to the kingdom right here he's the who's running the show for the server list really the key part of how kubernetes really intersects old and new to create the next generation applications thanks for joining us and sharing the insight I'm Jeff forest do many men here live coverage Google next more coverage after this short break
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Leonid Igolnik & Karthik Rau, SignalFx | Google Cloud Next 2019
>> Narrator: Live from San Francisco, it's theCUBE, covering Google Cloud Next 19. Brought to you by Google Cloud and it's ecosystem partners. >> Hello and welcome back to theCUBE's live coverage, here in San Francisco, the Moscone Center. This is theCUBE's live coverage of Google Next 19, Google Cloud computing conference. I'm John Furrier, Dave Vellante my cohost. Stu Miniman's here as well, he'll be coming on doing interviews. Our next guests are the founder and CEO of SignalFx, Karthik Rau, and Leonid Ingolnik, EVP of engineering. SignalFx has been a great company, we've been following for many, many years. Pioneer in a lot of the monitoring and serviceability of applications, now prime time, the world has spun to their doorstep. Karthik, congratulations on your success. It's prime time for your business. >> Ya, thank you, John. >> John: Welcome back. >> Great to be on, we're on again. >> I'm glad that you're on because we talked six years ago about some of the trends, we saw early. We saw the containers, Docker movement, and also Kubernetes got massive growth. You had the visibility of what these services are going to look like, cloud web services, kind of the next level. It's kind of here right now. >> Yeah, absolutely, there are two things that we predicted would happen. One was that architectures would get a lot more distributed, elastic, and it would require a more low-latency monitoring system that could do realtime analytics. That was one of the key changes. And then the other thing that we predicted was that developers would get more involved in operations. Which is the whole DevOps movement. And now both of those are very much in the mainstream, so we're really excited to see these trends. >> And looking at the Google keynotes today, obviously we're starting to see the realization of true infrastructure as code, you're starting to see the beginning signals of, look at, we can actually program the infrastructure, and not even have to deal with it. This is key, and you guys have some hardcore news, so let's get that out of the way. You guys got some updates, let's get into the news, and then we can get into the conversation around what you guys are doing in the industry. >> So, today we're bringing three things to the conference, to boost customers and prospects, starting with announcing our support for cloud functions. Cloud functions are great technology that we're seeing adopted by retail. For spiky workloads, things where you have a flash sale and you need to understand what's happening, it may be lasting minutes, where our platform really shows off the best, which is the one second resolution data. Some of our flash sales we see from existing customers don't last a minute, right, so looking at this in a minute resolution of being able to react to this in a machine time rather than human time, is something that our customers now expect. The second thing we are focusing on is Istio, and Istio on GKE specifically. We're seeing service mesh adoption continuing to go both in new, modern application, as well as taking legacy workloads and unlocking the potential of taking those legacy workloads to the cloud. And with Istio, and specifically on Microservices APM, it's not just applicable to Microservices, we see a lot of our customers realizing a lot of value from tracing abilities that a service mesh like Istio provides, an ability to understand you topology and service interactions for free, out of the box, whether it's on-premise with Istio or on the Google environment. And then lastly, so we see customers and prospects adopt Kubernetes, we're also starting to see the next layer above Kubernetes coming in. And, with Knative, getting the support out of the box, whether it's the dashboard, the tracing of the metrics, and that, that's the third announcement we have today. We're fully integrated with Google's offerings, and we're able to monitor and provide you with some actionable content, just in a flick of a switch. >> So support of Knative out of the box. >> Leonid: Out of the box. >> Full SignalFx, with Knative on Google Cloud. >> That is correct. So those three things. >> Karthik, I wonder if you could give us some insight as to what's going on in the marketplace. A multicloud is obviously a tailwind to you, but multicloud, to date, hasn't really been a strategy, it's sort of been an outcome of multi vendor. So, is multicloud increasingly becoming a strategy for your customers, and what specific role are you playing there to facilitate that? >> Yeah, absolutely. I think particularly most of the larger enterprise accounts tend to have a multi vendor strategy, for almost every category, right? Including cloud, which typically is one of their largest spends. Typically what we see is people looking at certain classes or workloads, running on particular clouds, so it may be transactional systems running on AWS. A lot of their more traditional enterprise workloads that were running on Windows servers, potentially running on Azure, we see a lot of interest in data intensive sorts of analytics workloads, potentially running on GCP. And so I think larger companies tend to kind of look at it in terms of, what's the best platform for the use case that they have in mind. But in general, they are looking at multiple cloud vendors. >> So we heard some customers onstage today, talking about their strategy, I think Thomas asked one retail customer, how'd you decide what to put where? And essentially he said, well, it's either going to go into the cloud, lift and shift, we're going to refactor it, reprogram it essentially, or we're going to sunset it. What he didn't say is, we're going to leave some stuff on-prem. Which somewhat surprised me, 'cause of course, especially into financial services you're going to get a lot of stuff left on-prem. So what's your play, with regard to those various strategies, and for the legacy stuff, I know you're cloud native, that's your claim to fame, but can you help those legacy customers as well? Talk about that. >> Yes, absolutely. >> So I think, what we've seen is it's a given now, that organizations are going to move to cloud. It's a question of when, not if. And the cloud form factors are just, are fundamentally different, they're software-defined. Right, a traditional data center, you're monitoring network equipment, storage devices, you're monitoring disks and fan failures on individual servers. When you're running in a cloud, it's a software-defined infrastructure, and it's far more elastic. And so even if you're just lifting and shifting, how you think about monitoring and observing this new cloud infrastructure's fundamentally different. So we're there for the very first step of the journey for an organization, to get the visibility they need into the new architecture, and many times we're also helping them understand the before and after, so how do I compare my performance in my on-premise data center to what it looks like in the cloud? That's step one. Step two is, they start chipping away at those monoliths, or they have new initiatives, that are digital initiatives, that are running in Kubernetes, or container based architectures, microservices based architectures, and that is a fundamentally different world. How you observe and monitor, deploy, not just monitor, the entire supply chain of how you manage these systems is different. So there, they have to look at different solutions, and we're obviously one of the key players, helping them there. >> Leonid, we've been doing theCUBE now for a decade, and I think John, it was a decade ago we said, we made the statement that sampling is dead. So I love your approach, you're not just taking small samples to do your performance monitoring. What's the architecture that enables you to do that, could you talk about that a little bit? >> So I think the most interesting thing with more modern architectures, especially with microservices adoption, is the complexity of how the transaction flows through the system. And then, basically tossing the coin, like we used to be able to do, in previous generations, to capture some traces and get the data you need. Doesn't work anymore, because it's very tough to predict at the beginning of the trace where the transaction's going to go. We're taking a completely different approach on the market. We look at every single transaction, at scales, we have prospects that are talking at us about volumes of giga span in minutes, so one billion spans observed a minute, and with some of the interesting tech we've built, we are able to pick the interesting things. And the interesting things have a couple categories, transactions that occur infrequently, transactions that are maybe above P90, right, the slow ones, because when look about performance and the understanding of how the application performs, you really want to know what's slow, not what's normal. But you also have to capture enough of what's normal. So with some of our tech, we're still able to keep about 1% of transactions, but the right ones, and that's the biggest differentiator with what we put together for the APM product. >> One of the things I want to talk about with you guys is how you relate to some of Google's announcements. The key things, I'm oversimplifying now, but they got a server list kind of announcement, got Cloud Run environment things, the regions, which is global, and then obviously open source commitment. You mentioned functions, you mentioned Knative, obviously open source. You're seeing open source being much more of a production IT capability, so you guys obviously hit that with these solutions, so the question I have for you guys is, how hard is it for you guys to provide that real time monitoring, because Google needs to build an ecosystem, that's what they're not talking about, they didn't really talk about on stage, their ecosystem. So you guys are a natural fit into service mesh, which they showed onstage, Jennifer Lin showed a great demo. So Google has to build an ecosystem, you guys are clearly positioned, through your announcements, that you're deeply integrated with Google. Cisco announced and integration, obviously they have an integration, so integration seems to be the secret sauce, (laughs) with cloud, to play in this ecosystem. Could you guys elaborate on that dynamic, because it kind of changes the old formula for ecosystems? >> Yeah, it's very different, right? In the old days, you had proprietary systems, so the only way you could actually build an integration is, you had to get your product managers in a conference room with the vendor and get visibility in the roadmap, access to everything, and that's why there were, it just took a lot longer to get things done. I think what you're seeing with Google is, they've taken a very standards based approach to everything, right? So, whatever technologies that they're releasing, they're trying to build it as a standard, you can run it on any cloud. Instrumentation is a core part of their philosophy of any technologies that they're releasing, such that, you have a new platform, it has a metrics library, other standards based mechanisms to collect metrics, traces, events. What that does is it makes it easy for the ecosystem to just pick it up, right? Our belief has been, you know, in the old days monitoring was all about proprietary instrumentation and collection. Today it's all about analysis. So the fact that all of this is openly available, in open source or standards based mechanisms, is great for us, it's great for the customers, it's great for the ecosystem. >> That's their one-to-many way of building integration systems. >> And that's why you guys are supporting Knative, as an example. >> Yep. >> That's really kind of supporting the open source ecosystem, ties it to Google cloud. >> Yeah, I mean, we generally support, our customers are running in every single configuration (John laughing) and type of technology you can imagine, so it's our work philosophy to just be everywhere they are, and to support all of the tech that they might be running. But in general we're big supporters of open source, in that, you know, developers are now running most software. That's the world of web services and SaaS. And developers have a preference for understanding the stacks that they're running on, and being able to control it and so that is obviously why open source has just taken off the way it has. >> I think the other dynamic of embracing open-source and standards is it allows us to focus, not on the meetings with product managers and getting an insight into the roadmap, but on getting the standards based integrations deeply configured with some of, for example, content we provide out of the box for use to your own Google versus for use to your own premise or use to anywhere else. And that's where the differentiation and the value for the customer is, not in kind of getting together on the roadmap and figuring out what to build next. >> You guys should move fast to take advantage of the lift that they get. I'd love it if you guys could just take a minute each to explain SignalFx value proposition 'cause you guys I think are perfectly positioned now as this becomes infrastructure as code with cloud. When should a customer call you guys? When are guys needed? When do guys get called in? Where are you winning? Take a minute to explain when and where you guys fit into the customer environment. >> I would say as soon as a customer starts to leverage a cloud infrastructure, whether that's public cloud, private cloud, open shift, to open stack, pivotal cloud foundry, or a public cloud, how you monitor your infrastructure will be fundamentally different, and we can help you with that. And then along your journey, once you've moved to cloud and you start thinking about how do I build modern application architectures, modern web services, devops, then we are necessary. You cannot get to the cloud native stage where you're releasing software every week unless you have a monitoring system like SignalFx. >> Great, just great. I want to also get your pick your brain on some dynamic that I saw in the keynote, it might not be obvious to the folks that are in the mainstream, but Jennifer Lin gave a demo of taking a workload, and porting it over with a small script, no code modifications, running it on a container. >> Dave: The cloud vMotion >> Anthos migrate was the product but basically migrating workload into containers in the Kubernetes engine automatically with no re-writes, she said what you, where you want. So that kind of, I can see what she did there and that's very cool and that's a game changer that's infrastructureless code, but then she moves to a conversation around services meshes. 'Cause once you get these things on a containerized, inside the Kubernetes engine, you're kind of enabled for using service meshes. This is like the Holy Grail of microservices. This is a big growth area. Can you guys explain what this means, what does this service mesh mean, 'cause once these workloads start to be containerized you're going to see much more migration to this new model. Where does service mesh kick in and why is it important and what should people pay attention to? >> Well I would say one of the fundamental challenges of microservices is what people are calling more and more, observability, right. Because you have so many systems, like a single application or a single transaction, what is an application anymore? A single transaction can flow through dozens, hundreds, of individual microservices. So, and you're changing your applications all the time. So figuring out when you've introduced a problem very quickly is a big challenge. And so one of the big benefits service mesh brings is it provides automatic instrumentation of your applications and requests in a way that makes it very out of the box to get visibility across your entire environment. So that is step one, getting that visibility. The next step is then you obviously need to analyze this corpus of data and its massive, and that's where a solution like SignalFx comes in we can collect all this data and help you really T-signal for noise. Then the last step really is how do you take action on that data, how do you automate responses? Whether it's rolling back a canary release, or shifting a load balancing strategy so that if there's a bad node you stop sending traffic to that. All of that can be automated. And so what service mesh is doing is it's providing the sub street to allow you to really provide that closed loop automation, that infrastructure is code, you know that's the movement that everyone is really focusing on right now. It's a key technology to enable that. >> Tell me about the observability trends, because this has been a hot venture funded area. We hear trace, dynamic tracing, these are techniques, there's a variety of different mechanisms for observability. How does Kubernetes, and now service mesh's impact observability, where is the puck going to be, if you're going to skate to where the puck is, what's the state of the situation? >> Well I think what it does is it makes instrumentation a lot easier. So typically a challenge when you're running a old Java application from 10 years ago, getting visibility into the app, it's a monolith. You to get the full visibility and the full call stack, that's harder to collect. When you're in a microservices world with service mesh, you're getting that visibility automatically. And what becomes more important is understanding the east/west latencies across all these different microservices. So because instrumentation is so much easier with all these new technologies, what it means for monitoring is it really shifts the focus to who can make the most sense of this data, who can provide assistance to the operators to really help them pinpoint when there is a problem, what is the potential cause, and to triage it very quickly. So again, the whole value proposition is shifted to the analysis. >> So Leonid given that, what are your engineering priorities, maybe share a little road map if you could? >> Sure, so if you think about what we just talked about, adoption of Kubernetes, or service meshes, the challenges that those environments bring both the femorality of the environments on which you now deploy compared to what most of the operators and application developers are used to, as well as the constant motion in the system, right. Kupernetes will move the workload several times an hour and the amount of data those systems tend to generate becomes fairly difficult to cope not just to a monitoring system, but to a human, right? So how can you take about what Karthik talked about all this noise and get it into an actionable intelligence across tens of millions times series an hour possibly in the middle of the night, how do you get the operator to the root cause very quickly? And what kind of technologies do we need to have as a vendor, and that's where we spend a lot of time thinking about, how do we provide actionable insight for those highly femoral environments that are getting even more femoral? >> One of the themes that's here, and already we're seeing it pop out of Google Next, and we've seen it in the other cloud shows we've gone to is, complexity is increasing, and the business model that seems to work well is taking complexity and making things simple. >> Mhm >> Right >> Whether it's extraction layers or other techniques, how does a customer, who's got all these new suppliers, new dynamics, new shift in the marketplace, new business models, how does a customer deploy IT, deploy cloud, and move the complexity to a simplicity model? This is a hard challenge. >> Well, I think that's one of the fundamental mental model shifts that an organization needs to make. Complexity was your enemy in the old days. Right, because you were releasing software once a year, twice a year and so you don't want it to be complex. But if your goal is speed and innovation, you're going to have to accept some complexity to get that speed and innovation. You just have to decide where is that complexity acceptable and how do you change your processes and your tooling to minimize the impact of that complexity. So I think I would disagree with that sentiment because I think organizations have to start thinking about things differently if they really want to move quickly. >> So embrace complexity. >> You have to embrace complexity and you have to think about what are the mitigating factors I need to take in my organization structure, my processes, my tooling, to compensate for the additional complexity I'm creating, but still release software as quickly as I used to. >> I would add, I think in a lot of ways you're shifting the complexity from infrastructure management more up the stack. >> That's, ya. >> In many ways IT is getting more complex, to your point Karthik. >> Ya, I mean all of these extractions make perhaps the underlying infrastructure less complex to manage but you're absolutely right Dave, the applications will become more complex when you move to microservices and you've got 50 pizza box teams working on a bunch of microservices, there's an organizational dynamic as much as there's a tech dynamic, right. How do you get these 50 teams to communicate with one another if there's a issue, an incident. >> And the data pathways, the data pipelines, the journey of that data, is much, much more complex. >> Ya absolutely. >> Final question, as the developers and operators come together, that seems to be a big trend. Developers want frictionless environment, programmable internet, they're going to be spitting up these services and then the operators have to run it. Those worlds are coming together. What's your thoughts on the operations side and developers coming together? >> I think they're two peas in a pod. They're two parts, they're two necessary parts. I think you will see more and more automation move up the stack. I think the place to start is really in the infrastructure layer and it will make the lives of operators of these cloud environments simpler. And then I think that automation will move up the stack as well over time. >> What's the most important story coming out of Google Next, if you can just kind of read the tea leaves, get a sense of what's going on here? 2019, whole new year, whole new game changing. What are your guys' thoughts on what's kind of going on in the cloud business this year? What' going on at Google Next? What's the big story? >> Well I think from my perspective it's very clear they're focused a lot on multi cloud, cloud agnostic and where the right ones run anywhere and run on Google. That seems to be a big push. And then the other is they're just behind on go to market and they seem to be focusing quite a bit on investing in all of the other elements, non-technology elements, to make organizations successful. >> Leonid, on the tech side, what do you see as the big in story here? >> I think Google was always found on the tech and they're continuing to deepen it. I think more interesting for me the story is about the go to market and embracing the complexity of the enterprise. >> Right >> And recognizing that not every application that will come to Google Cloud will be architected in a modern way. The thousands upon thousands of applications that have to lift and shift still and surviving some of the announcements around the service mesh are great enablers for those customers to start embracing the cloud technology. >> Tech geeks love service mesh, I'm a big fan. Guys, thanks for sharing the insight. Give a quick plug for what's going on for SignalFx. What's going on in the company? What are you guys looking to do? Are you hiring, are you expanding, what's going on? >> Ya we're in rapid growth here as a company. We're really excited about microservices APM product that we introduced late last year and what that does is it brings distributed trace analytics to our core monitoring platform. So what that allows you to do is get bottoms up visibility into each individual component through our metrics system, but also a transaction oriented view through our micro services APM product. Bringing the two together, super excited about the level of sophistication and analytics that it's going to bring our customers. >> What's the head count? What's the head count now, roughly? >> We're about 250 people right now. >> 250 okay, and you've raised over nine figures, I think? >> Over a hundred million dollars yeah. >> That's great, congratulations. >> So Karthik as a founder, what's it like to have the vision early and seeing it, and staying the course? And you've stayed on the right wave. >> Yeah. >> And now the wave's gotten bigger, what's it like to be the founder and be where you are now? >> It's terrifying at first because you don't know if the markets are going to move in the direction you need them to, but it's very gratifying when that actually happens and we're very fortunate that the world is moving very squarely into cloud based architectures, and not just cloud but all of these modern run times that are exactly what we predicted the world would look like for the last six years now. >> And you had a great team, engineering team was solid, you've got great chops. Any advice for entrepreneurs out there who are now getting into this world, maybe younger entrepreneurs coming out, building some applications? What's your advice to other founders that are... >> I could spend hours on that topic (laughter) >> I think >> Dave: Ship early and often >> You just have to continue to have faith and conviction in your beliefs and stick it out because there are lots of twists and turns, especially in the early days if you're betting ahead of the curve, you need to be patient and continue to have belief in yourself and your ideas. >> Well congratulations the world has right spun to your doorstep, congratulations with SignalFx. Thanks for coming on theCube. We're in San Francisco for theCube's coverage. Day one of three days. I'm John with Dave Vellante. Stay with us for more live coverage after this short break. (light electronic music)
SUMMARY :
Brought to you by Google Cloud and it's ecosystem partners. Pioneer in a lot of the monitoring and serviceability You had the visibility of what these services Which is the whole DevOps movement. and not even have to deal with it. and we're able to monitor and provide you So those three things. as to what's going on in the marketplace. most of the larger enterprise accounts tend and for the legacy stuff, I know you're cloud native, of the journey for an organization, What's the architecture that enables you and get the data you need. One of the things I want to talk about with you guys so the only way you could actually build an integration is, of building integration systems. And that's why you guys That's really kind of supporting the open source ecosystem, and to support all of the tech that they might be running. and getting an insight into the roadmap, Take a minute to explain when and where you to cloud and you start thinking about how do I build dynamic that I saw in the keynote, it might not in the Kubernetes engine automatically with no the sub street to allow you to really provide Tell me about the observability trends, because is it really shifts the focus to who can make the most the femorality of the environments on which you One of the themes that's here, and already we're IT, deploy cloud, and move the complexity to and how do you change your processes and your tooling You have to embrace complexity and you have to think shifting the complexity from infrastructure management to your point Karthik. the underlying infrastructure less complex to manage And the data pathways, the data pipelines, the journey and then the operators have to run it. I think the place to start is really in the infrastructure in the cloud business this year? on investing in all of the other elements, about the go to market and embracing the complexity announcements around the service mesh are great What's going on in the company? So what that allows you to do is get bottoms up early and seeing it, and staying the course? the markets are going to move in the direction And you had a great team, engineering team was and continue to have belief in yourself and your ideas. Well congratulations the world has right spun to your
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Chase Cunningham, Forrester | RSA Conference 2019
>> Live from San Francisco, it's theCUBE, covering RSA Conference 2019. Brought to you by Forescout. >> Hey, welcome back everybody, Jeff Frick here with theCUBE. We're at RSA Conference in North America. The brand new reopened Moscone Center. They finally finished the remodel, which we're excited about, in the Forescout booth, and excited to have a returning Cube alum, I think we had him on last year at RSA, Dr. Chase Cunningham, principle analyst security and risk for Forester. >> Hey. >> Chase, great to see you again. >> Thanks for having me. >> So what's happened in the last year, since we last saw you? I'm sure you've been keeping busy, and running down lots of ... >> Yeah well, >> Crazy risk. >> It's been really pushing the sort of strategy set around zero trust. I mean if you look around the show floor, you can't go 75 feet without seeing somebody that's got zero trust on a booth, or hear it from somebody, so it's been really pushing that narrative and trying to get people to understand what we're talking about with it. >> And it's really important because it's a very different way of thinking about the world. >> Yeah. >> And you guys have been talking about it for a while. >> For a decade, basically. >> Right. >> Yeah. >> And then we've got all these new complexity that's thrown in that weren't there a decade ago. You've got IOT, you got OT, and then you've got hybrid cloud, right? 'cause everyone, well there's public cloud, but most big enterprises have some in the public cloud, some on their data center. So you've got these crazy hybrid environments; so how are you kind of adjusting the zero trust game, based on some of these new complexities? So really we flip the script a little bit and said, "Okay, if we were to try and fix this from the start, "where would we start?" And we'd obviously start around taking care of the the largest swath and sort of compromise area, which would probably start with users, followed closely by devices, because if we can take care of those two pieces, we can actually gain some ground and work our way going forward. If you've heard a lot of the stuff around micro-segmentation, our sort of approach to micro-segmentation means micro-segment everything. We mean users, accounts, devices, IOT, OT, wired, unwired, whatever it is, if you can apply control to it, and you can segment it away to gain ground, segment it. >> So how do you deal with the micro-segmentation? Because ultimately you could segment down to one, and then you haven't really accomplished much, right? >> Right, a network of one is no good, yeah. >> Exactly; so when you think about micro-segmentation architectures, how are you creating buckets? What are your logical buckets that you're putting things in? >> So really it should be based on the function that you're trying to allow to occur. If you look at the way we architected networks for the last 20-something years it's been around sort of use writ-large. What we're talking about micro-segmentation is, if I'm micro-segmenting devices, those devices should live in a micro-segment where devices do device stuff, and you can keep control of that, and you can see what's coming and leaving. Users should be segmented that way, networks, all of it should be built around function, rather than inter-operability. Inter-operability is a result of good micro-segmentation, not the other way around. >> Right, and that's interesting you say that, we're obviously, we're in the Forescout Booth, >> Yeah. >> and a big piece of what they're talking about is, identifying these devices, but then basically restricting their behavior to what they should be doing. So really following along in your zero trust philosophy. >> Well I said it last year, I'll say the same thing again, a key piece of this whole thing is knowing what's supposed to be occurring and being able to control it, and then respond to it. It's not really that we've changed the evolution of this whole thing, we've just looked at it a little more pragmatically, and applying fixes where you can actually start gaining ground. >> Right, and applying the fixes at all different points in the spectrum, as opposed to just trying to create that big giant wall and a moat. >> Well yeah, moving away from the perimeter model, like the perimeter model has categorically failed. Everyone around here seems to understand that that's a reality; and we're not saying you shouldn't have your defenses up, but your defenses should be much more granular and much more focused on the realities of what enables the business. >> Right, so I'm just curious to get your perspective, you've been doing this for a while, as you walk around the show floor here, and see so many vendors, and so many products, and so many solutions, and so many bright shiny objects; how do you make sense of it? How do you help you customers make sense of it? Because it's not a simple space, and I always just think of the poor CSO's, sitting there like "How am I supposed to absorb, "even just the inbound information "about knowing what's going on," much less get to the point of doing evaluation and making purchase decision and making implementation decision. >> So one of the things that we've been really pushing forward with is using virtualization solutions to build architectures, not PowerPoints, not drawing stuff on a whiteboard, like actually using virtualization to build virtual architectures, and test and design there. It's actually very similar to the way that we write applications, you iterate; you don't write an app and release it, and think you got it right and you're done, you write pieces of code, build the app, you iterate, you move on, because of virtualization, we can do the same thing with security tooling and with networks. So one of our major initiatives is pushing that capability set to our customers to say, "This is how you get there, and you design, "and then you build, and then you deploy," rather than, "Deploy it and hope you got it right." >> And know that it's not going to be right the first time you buy it, right? You just got to write a check and the problem goes away. >> And it's much better if you screw something up virtually to just nuke it and start over, than if you try and do it with a bunch of hardware that you can't actually rip and replace. >> That's interesting, right? 'Cause the digital twin concept has been around in the OT space for a long time. We talk to GE all the time and digital twin in terms of modeling behavior, and a turbine engine is something they've been talking about forever. At a healthcare conference they're talking about digital twinning people, which I thought was pretty interesting. >> Kind of creepy, but yeah >> Kind of creepy, but then you think, "Okay, so I can, "I can test medications, I can do these things," and to your point, if I screw it up, I'm screwing up the twin, I'm not necessarily screwing up the real thing. And you talked about in your last blog post, starting to create some of these environments and architectures to help people do some of this exploration. >> Yeah we launched our first one here at RSA on Tuesday night, we actually put out our own Forester branded virtual reference architecture; and the good thing is is the way that we're approaching it, we can actually have our clients build their own semblance of this, because something everybody forgets is, this is one of the few places where there are snowflakes, right? Everyone has their own individual build, so being able to have yours that you build, maybe different from mine, even though we both line with a strategic concept like zero trust. >> Right. >> So, we're building a library of those. >> So is the go to market on that that you've got an innovations space, and people do it within there? Or are you giving them the tools to build it on PRIM, how's the execution of it? >> So really it's about, we've published a lot of research that says, "This is the way to do it;" now we've got this platform and the capability to say, "This is where you can do it;" and then allowing them to go in there and follow that research to actually design and build it and see that it's actually do-able. >> Right, right; so as you're looking forward, 2019, I can't believe the calendar's flipped already to March. Crazy ... What are your top priorities? What're you working on as you go forward this calendar year? >> It's mostly about ground truth sort of use cases on this adoption of zero trust across the industry; and really getting people to understand that this is something that can be done. So we have write-ups going on customers that have deployed zero trust solutions; and sort of how they did it, why they did it, where they got benefit from, where they're going with it, because we remind people all the time that this a journey. This is not something I wake up in the morning, build a zero trust network, and walk away. This is multi-year in some cases. >> Well it's going multi-year forever right? Because the threats keep changing; and the thing I find really fascinating is that the value of what they're attacking is changing dramatically, right? It used to be maybe I just wanted to do some, crazy little hacks, or change a grade, maybe steal some money from your bank account; but now with some of the political stuff, and the state-sponsored stuff, there's a lot more complex and softer nuance information they the want to get for much softer nuanced objectives, so you're going to have to continue to reevaluate what needs to be locked in tighter and what needs to be less locked up, because you can't lock it all up to the same degree. >> Right, and it's really something that we remind our customers a lot on, that security is being done by the majority of organizations not because they actually want to do security, it's because security makes the customers have more faith and trust in you, they buy more stuff, your revenue goes up, and everyone benefits. >> Right. >> You know, some of these large organizations, they don't have SOC's and do security operations 'cause they want to be a security company, they're a company that has to do security to get more customers. >> Right, have they figured that out yet? The trust thing is such a big deal, and the Big Tech backlash that we're seeing that's going on. >> I had thought that they would have figure it out, but it comes up all the time, and you have to really wrap people's head around that you're not doing security because you think security is cool, or you need to do it, it's to get more customers to grow the business. This is a business enabler, not a tangential business thing. >> Right, it's such a high percentage of the interaction between a company and it's customers, or a company and it's suppliers, is electronic now anyway, whether it's via web browser or an API call, It's such an important piece 'cause that is the way people interact with companies now. They're not going to the bank branch too often. >> With the growth of GDPR and privacy and things like that, companies are being mandated by their clients, by their customers to be able to say, "How do you secure me?" And the business had better be able to answer that. >> Right right, but hopefully they're not, to your point, I thought you were going to say they're doing it for the compliance, but it's a lot more than just compliance, you shouldn't be doing it just for the compliance. >> Yeah, I mean I stand on the compliance is kind of a failed approach. If you chase compliance you will just be compliant. If you actually do security with a strategy in place you will achieve compliance; and that's the difference most people have to wrap their head around, but compliance is something you do, not something you strive to be. >> Love it, well Chase thanks for stopping by and sharing your insight and a lot of good work. Love keeping track of it, keeping an eye on the blog. >> Great, thanks for having me. >> All right, he's Chase, I'm Jeff, you're watching theCUBE, we're at the RSA conference in the Forescout Booth, thanks for watching, we'll see you next time. (low techno music)
SUMMARY :
Brought to you by Forescout. and excited to have a returning Cube alum, and running down lots of ... I mean if you look around the show floor, And it's really important because it's and you can segment it away to gain ground, segment it. and you can keep control of that, and a big piece and then respond to it. Right, and applying the fixes and much more focused on the realities Right, so I'm just curious to get your perspective, and think you got it right and you're done, the first time you buy it, right? that you can't actually rip and replace. in the OT space for a long time. and to your point, if I screw it up, and the good thing is is the way that we're approaching it, and follow that research to actually design and build it I can't believe the calendar's flipped already to March. and really getting people to understand and the thing I find really fascinating is Right, and it's really something they're a company that has to do security and the Big Tech backlash that we're seeing that's going on. and you have to really wrap people's head around 'cause that is the way people interact with companies now. And the business had better be able to answer that. you shouldn't be doing it just for the compliance. and that's the difference most people and sharing your insight and a lot of good work. we'll see you next time.
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Doug Merritt, Splunk | RSA 2019
(funky music) >> Live from San Francisco, it's theCube, covering RSA Conference 2019 brought to you by Forescout. >> Hey welcome back everybody Jeff Frick here with theCUBE. We're at the RSA Conference at downtown San Francisco Moscone Center, they finally finished the remodel. We're excited to be in the Forescout booth, we've never been in the Forescout booth before, psyched that they invited us in. But we've got an old time CUBE alumni and a special company in my heart, was my very first CUBE event ever was Splunk.conf 2012. >> I did not know that Jeff. >> Yeah so we're live. We have Doug Merritt on he's a CEO of Splunk. Doug great to see you. >> Thanks Jeff, good to see you again also. >> Yeah so we've been doing Splunk.conf since 2012. >> The early days. The Cosmo Hotel and it was pouring rain that week. >> That was the third year. >> Probably the third year? >> Second year, yeah long time ago, it's grown. >> 2012 wasn't that big but this is a crazy show. You've been coming here for a while. Security is such an important part of the Splunk value proposition, just general impressions of RSA as you've been here for a couple of days. >> Yeah, it's amazing to see how the show has grown over the years, security's gone from this, kind of backwater thing that a few weird people did in the corner, that only understood the cyber landscape, to something that boards care about now. And that, obviously has helped with this show, I don't know what the attendee numbers are like, but tens of thousands of people. >> Oh yeah. >> You can't walk down a hallway without bumping into 10 brand new companies that were launched in the past year, and the security space and make the biggest challenge people that I have, and I think that other people have is, how do you tell different, where's the wheat from the chaff? What is really important in security and how do you tell different companies and different trends apart, so you can actually focus on what matters? >> Right, I just feel for the seed-sows, right, I mean, you guys have a big ecosystem at .conf, but those are all kind of complimentary things around the core Splunk solution. This is, you've got co-opetition, competition, how does somebody navigate so many options? 'Cause at the end of the day you don't have unlimited resources, you don't have unlimited people to try to figure all these pieces of the puzzle out. >> Yeah, and the CSOs have got a really tough job, the average CSO has got well over a hundred different vendors you're dealing with, and with Splunk what we're very focused on, and where I think we add value is that we become, if done right, we become the abstraction layer that creates a brain and nervous system that allows all those different products, and all of them have got unique capabilities. When you think about the complexity of all the networking, all the compute, all the storage, all the end point landscapes that's only getting worse for the cloud, because now there's more services with more varieties across more cloud vendors. How do you get visibility on that? >> Right, right. >> And you need products at those different junctures, 'cause protect and prevent and defend is still an important function for CSOs, but when we know that you can't prevent everything. >> Right. >> And things will go wrong, how do you know that, that is actually occurring? And what the splunk value prop is, we are the, we don't have as much of a point of view on any one product, we aggregate data from all the products, which is why so many people are partners, and then help companies with both raw investigations, given that if something goes wrong with our schema less data structure, but then also with effective monitoring and analytics that's correlating data across those tens, hundreds or thousands of different technologies. So you can get a better feel for what are the patterns that make sense to pay attention to. >> I think you just gave me like 10 questions to ask just in that answer, you covered it all. 'Cause the other thing, you know, there's also IoT now and OT and all these connected devices so, you know the end points, the surface area, the throughput is only going up by orders of magnitude. >> Without a doubt. >> It's crazy. >> I saw some stats the other day that, globally at this point there's, I may get these off by one digit, but lets say there's 80,000 servers that are the backbone of the entire internet. There's already over 11 billion connected devices, going back to that IoT theme. So the ramifications at the edge and what that means are so profound and companies like Forescout, as a key partner of Splunk's, help make sure that you're aware of; what are all the different elements that are ever hitting my network in a way. And what do they look like and what, what should I be doing, as different things pop on and pop off and, again, we're trying to be the interpretation and brain layer for that, so that they are more and more intelligent to the actions they're taking, given their depth of domain, their deep knowledge of what a camera should look like, or what a windows PC should look like or what a firewall should look like given the configurations that are important to that company. >> Before we turned on the cameras you made an interesting comment. We used to talk about schema on read versus schema on write, that was the big, kind of big data theme, and you guys are sitting on a huge data flow, but you had a really kind of different take, because you never really know, even with schema on read it seems you know what the schema is but in today's changing environment you're not really sure what it is you're going to be looking for next right? And that can evolve and change over time, so you guys have kind of modified that approach a little bit. >> Yeah, I think we are this year you'll see us really reemphasizing that core of Splunk. That the reason you'd have an investigative lake, and I don't think most people know what a schema is period, much less read or write so my new terminology is hey you need a very thorough investigative lake. Going back to the discussion we were having, with so much surface area, so many network devices, so many servers, so many end points, what tool do you have that's reading in data from all of those, and they all are going to have crazy formats. The logs around those are not manageable. To say you can manage logs and centralize. Centralized logs I get, manage those words don't work together. >> Right. Logs are chaotic by nature, you're not going to manage them, you're not going to force every developer and every device to adhere to a certain data structure so it can neatly fit into your structured database. >> Right. >> It is too chaotic, but more importantly, even if you could you're going to miss a point, which is, once you structure data, you're limited with the types of questions you can ask, which means you had to visualize what the questions would be in the first place. In this chaotic environment you don't know what the questions going to be. The dynamics are changing way to quickly, so the investigative lake is truly, our index is not schematized in any way, so you can ask a million questions once versus a schematized data store where it is; I ask one question >> A million times. a million times. And that's super efficient for that, but, the uniqueness of Splunk is, the investigative lake is the fabric of what we do, and where I think our customers, almost have forgotten about Splunk is, read all that data in. I know we've got a volume based licensing model that we're working on customers, were working to solve that for you, that's not the, I'm not trying to get data in so that we can charge more, I'm trying to get data in so that everybody has got the capacity to investigate, 'cause we cannot fail in answering what, why, when, where, how, and stuff'll go wrong, if you can't answer that, man you're in big trouble. And then on top of that let's make sure you've got right monitoring capability, the right predictive analytics capability; and now with tools like Phantom, and we bought a company called victorOps, which is a beautiful collaboration tool, let's make sure you've got the right automation and action frameworks so that you can actually leverage peoples skills across the investigative, monitoring and analytical data stores that at Splunk we help with all four of those. >> Right, right, again, you touch on a lot of good stuff. We could go for hours but we don't have you all day. But I want to follow up on a couple of things, because one of the things that we hear over and over and over is the time to even know that you've been breached. The time to know that you have a problem, and again, by having all that data there you can now start adjusting your questions based on that way you now know. But I think what's even more kind of intriguing to me is, as nation states have become more active, as we've seen the politicalization of a lot of things, you know, what is valuable today is a much varied, much more varied answer than just tapping into a bank account or trying to steal credit card numbers. So it really supports, kind of this notion that you're saying, which you don't have a clue what the question is that you're going to need to ask tomorrow. So how do you make sure you're in a position, when you find out what the question is, that you can ask it? >> And that's the design architecture I like about splunk as a company is that our orientation is, if you're dealing with a world of chaos, allow that chaos to exist and then find the needles in the haystack, the meaning from that chaos, and then when you find the meaning, now you know that a monitor is worthwhile, because you've validated root cause and it exists. And when your monitor is kicked a few times, and you know it's legit, build a predictive routine, because you now know it's worth trying to predict, because you've seen this thing trip a number of times, which inverts the way that most people, that all of us were taught. Which is start with the end in mind, because garbage in equals garbage out, so be really thoughtful in what you want and then you can structure everything, it's like well, that's not the way the world works. What if the question we asked 15 years ago was, what if you couldn't start with the end in mind, what would you have to do? Well you'd have to have a schema less storage vehicle and a language that allows you to ask any question you want and get structure on the question, but then you still need a structure. So you're going to structure them one way or the other, how do you make sure you've got high quality structure, and in our dynamic landscape that's always going to change. >> Right, well the good news is 2020 next year so we'll all know everything right? >> Yeah, exactly. >> We'll have the hindsight. So the last thing before I let you go is really to talk about automation, and just the quantity and volume and throughput of these systems. Again, one, escalating, just 'cause it's always escalating, but two, now adding this whole connected devices and IoT, and this whole world of operational technology devices, you just, you can't buy your way out of it, you can't hire your way out of it, you have to have an increasing level of automation. So how are you kind of seeing that future evolve over the next couple of years? >> I've been meeting with a lot of customers obviously this week, and one of them said, the interesting part about where we are now is, you can't unsee what you've seen. And where we were five years ago, as most people in security and IT; which are natively digitized, they still didn't know how to wrap there arms around the data. So they just didn't see it, they were like the ostrich. Now with tools like Splunk they can actually see the data, but now, what do I do with it? When I've got a billion potential events per day, how do I deal with that? And even if I could find enough manpower, the skills are going to be changing at such a constant basis, so I think this security, orchestration, automation, response; SOAR, area and we were fortunate enough to form a great relationship with phantom a couple of years ago and add them to the Splunk fold, exactly a year ago, as, I think, the best of the SOAR vendors, but it's a brand new category. Because companies have not yet had that unseeing moment of, holy cow, what do I do, how do I even deal with this amount of information? And adding in automation, intelligent automation, dynamic automation, with the right orchestration layer is an absolute imperative for these shops going forward, and when I look at a combination of phantom and their competitors there's still less then a thousand companies in a sea of a million plus corporate entities, globally, that have licensed these products. So we're at the very beginning of this portion of the wave. But there's no way that companies will be able to be successful without beginning to understand what that means, and wrapping their minds around how to use it. What we're so excited about with Splunk, is traversing investigate, monitor, analyze and automate up and down continuously, we think is the key to getting the best value from this really, really diverse and chaotic landscape and then having phantom as part of the fold helps a lot, because you can get signal on, did I do the right automation? Did It actually achieve the goal that my brain told me to do, or not? And if not, what do I adjust in the brain? Do I go after different data, do I structure the data a different way? But that up and down the chain of check and balance, am I doing the right stuff is something that-- >> And do it continuously. >> It's got to be continuous. >> It's got to be continuous. So we're sitting in the Forescout booth, so talk about how Forescout plays. I mean you guys have been sitting on those (mumbles), really fundamental core date, they're really kind of been opening up a whole different set of data, so how is that kind of working out? >> Yeah, so I'm really thankful for the relationship, mostly because they're a great company and I love their CEO, but mostly, if you go customer back, it's a very important relationship. Which is the proliferation of devices, developments continues to grow, and most companies aren't even aware of the number of devices that exist in their sphere, much less how they should look, and then what vulnerabilities might exist because of changes in those devices. So the information flow of, here's what's in the eco-sphere of a customer into Splunk is really helpful, and then the correlation that Splunk drives, so that Forescout gets even more intelligent on what corrective actions to what type of actions period do I take across this sea of devices is a really important and beneficial relationship for our customers. >> Excellent, so I'll give you the last word, little plug for Splunk.conf coming up in October. >> Yeah, I'm really excited about conf, excited to have you guys there again. We've been on a really intense innovation march for the past few years. This last conf we introduced 20 products at conf, which was a record. We're trying to keep the same pace for conf 2019 and I hope that everyone gets a chance to come, because we're going to both be, moving forward those products that we talked about, but, I think really surprising people, with some of the directions that were taking, the investigate, monitor, analyze and act capabilities both as a platform and for security IT and our other key buy-in centers. >> Alright, well we'll see you there Doug, thanks for stopping by. >> Thank you, Jeff. >> Great seeing you. >> He's Doug, I'm Jeff, you're watching theCUBE, we're in the Forescout booth at RSA Conference 2019, thanks for watching we'll see ya next time. >> Thank you. (electronic music)
SUMMARY :
covering RSA Conference 2019 brought to you by Forescout. We're at the RSA Conference at downtown Doug great to see you. Yeah so we've been doing Splunk.conf The Cosmo Hotel and it was pouring rain that week. Security is such an important part of the Splunk over the years, security's gone from this, you guys have a big ecosystem at Yeah, and the CSOs have got a really tough job, but when we know that you can't prevent everything. So you can get a better feel for what are the patterns 'Cause the other thing, you know, there's also IoT now that are the backbone of the entire internet. and you guys are sitting on a huge data flow, what tool do you have and every device to adhere to a certain data structure even if you could you're going to miss a point, and action frameworks so that you can actually and over is the time to even know that you've been breached. and a language that allows you to ask any question you want So the last thing before I let you go because you can get signal on, I mean you guys have been sitting on those (mumbles), and most companies aren't even aware of the number Excellent, so I'll give you the last word, and I hope that everyone gets a chance to come, Alright, well we'll see you there Doug, He's Doug, I'm Jeff, you're watching theCUBE, Thank you.
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Joe Cardamone, Haworth | RSA 2019
(upbeat music) >> Live from San Francisco it's theCUBE, covering RSA Conference 2019. Brought to you by Forescout. >> Hey welcome back everybody Jeff Frick here with theCUBE, we're at the RSA Conference in Moscone in San Francisco, they finally got the conversion done it looks beautiful, it's keeping the atmospheric river out (laughs) it didn't do that last week, but that's a different story for another day. We're excited to have our very next guest he's Joe Cardamone, he's the Senior Information & Security Analyst and North America Privacy Officer for Haworth. Joe great to meet you. >> Thank you, thanks for having me. >> So for the people that don't know Haworth, give us kind of the quick overview on Haworth. >> Well Haworth is a global leader in commercial office interiors. They create seating, desks, dynamic work spaces, raise floors and movable walls. >> Okay, so really outfitting beyond the shell when people move into a space. >> That's correct. >> So what are your security, that sounds like, like mobile walls and desks and the like, what are some of the security issues that you have to deal with? >> Well obviously intellectual property is a big concern, protection of our, we call our employees members. So the protection of our employee member data is important to us, customer data, supplier data, so protection of those key data elements and our assets is a priority in my role. >> Okay, so we're in a Forescout booth, you're using their solution, you come in and Mike tells us you're connected to the network, it crawls out and tells us all the devices. How did that go? How well did it work for you guys? >> It was a fantastic experience for us to be honest with you. From the point that we deployed the ISO onto a virtual instance, about seven hours later we had gotten 97% visibility on our network. And not just data, actionable data which was really important in our use case, >> Yeah keep going, So, well I was just going to say how many surprises did you get after those hours when you got to report back? >> Oh we had quite a number. We were anticipating about 8,000 IPs we landed at about 13,000, so there was quite a bit more end points that we discovered, after implementing the product. One of the bigger pieces that we found was that our showrooms out in global sectors like Asia and Europe, had a bunch of APs that were stood up, you know some sales people thought that they wanted to plug them into a network jack and stand up their own wireless networks, we had found them and we were able to squash them pretty quickly, and that was within 24 hours of implementing the product. >> So you're expecting 8,000 you got 13,000 more than a 50% increase over what you thought? >> Quick math, correct, yes. >> I'm no quick and dirty math guy. I'm not a data scientist. >> I'm not either. >> Okay, so and then how many things did you have that were custom that needed to be added to the library? >> I'm going to say about 10 or 15 units, we have some that we produce. Haworth creates a unit called the Workwear unit which is a screen presentation casting device, and what that device does, it sits on our production network and in order for us to be able to demo that device we had to punch holes in our firewall. Very manual process, those devices move around very often and it was really hard for our IT teams to keep up with. How those devices move, how dynamic they are and you know code revisions, we're living showrooms so nothing stays in one spot at one time. The Forescout was able to very easily identify them using a couple of pieces of information that it gathered, and by using the Palo Alto Networks plugin, we were able to then dynamically punch holes through our firewall to our guest network for just those IPs, in just those services, and just those ports to enable our guests coming in who are looking to purchase the product to actually test drive it, and really have a good use with the product before purchasing it. >> So the guests that you're talking about are your customers, right? >> Our customers, correct yes. >> And when you say they wanted to test drive it, were they, do you let them go test drive it at their local office? Or are you let them drive their own content on it back at your like, executive briefing center? >> How does that mean, cause you're talking about punching a holes, right so that doesn't just happen without some thought. >> No it doesn't, exactly, and the thought was we can't sell a product if we can't demo it, and you come into Haworth, you're my guest. I want you to see the power of my product. I want you to use your laptop, your content on my screens and my space. How can we do that while protecting my digital network? And that's what the Forescout enables us to be able to do as part of our microsegmentation strategy with the Forescout. >> And then you said that that was tied to sub-functionality in a Palo Alto Networks device. >> That's correct. Like I mentioned earlier, the ability to have actionable data was one of our key points in purchasing employing the Forescout unit. We're experiencing a lot of growth, and the way we're treating our growth is, we're treating these companies like they are BYOD. We want, we're buying their brand, we're buying their ability to sell their product. They know their product, they have passion about their product. >> So these are new product lines within your guys total offering? >> Correct, yes. >> Okay. >> And what we wanted to do when we started to integrate the IT side of the world, we wanted to be able to keep them operating on their own. So, we're using the Forescout to be able to look into their network, and looking at a couple of key variables on their machines, say, do you meet this criteria? If you do then we're going to allow you to egress through our Palo Alto firewall using the Palo Alto Networks module on the Forescout, to be able to egress into our environment. If you don't meet that criteria, then you're just not getting in period. So we're able to provide a measure of control, trust but verify to the other networks that we have before their devices come into ours. >> So you're doing that you're adding all these, all these devices, you talk a lot about stuff that's actionable. What did you have before, or did you have anything before? What types of stuff that is actionable, how do you define actionable and I wonder if you could give a couple of examples. >> Sure that's actually really easy. When I say actionable data, I'm able to look at let's just say your laptop sitting here, with the Forescout, I can gather any multitude of data off of it, patch levels, OS levels, software installed, processes running, what switch port you're on, what wireless AP you're on, and off of all that information, I can make any number of decisions. I could move you to another VLAN, I could move you to another security group, I can tag your machine, I can send a trap to my SIM, and be able to record whatever data I need to record. In our use case, using the data that we're gathering from the affiliate networks and from the work wears we're able to then take action to say, yes this device meets our criteria, we can now send that data up into the Palo Alto and then tie it to a rule that exists to allow or disallow traffic. You know, with the fact that it's a single pane of glass, the fact that I can have my help desk go in and make decisions based on data that they're getting, based on actionable data, based on other pieces of data that are getting fed in through my environment, like indicators of compromise. I can enable my level one staff to be able to make level three decisions without giving them keys to the kingdom. Which I think is a big value with the Forescout. >> That's pretty impressive, cause that really helps you leverage your resources in a major major way. >> Correct, I'm a team of three. >> You're a team of three. >> Yes. >> (laughs) So more specifically I guess generally you know, talk about the role of automation because I don't know how many transactions are going through your system and how many pings are coming in but you said 13,000 devices just on the initial, on the initial ping, so how are you leveraging automation? What what's kind of the future do you see in terms of AI, machine learning and all these things we hear about because you can't hire you're way out of the problem, you've only got three people. >> Correct, correct right now we have limited staff but our skill set's fantastic. I'm blessed to have a team of really fantastic engineers that I work with. That being said, how the Forescout's helped us is being able to take some of the load off of them by automating tasks and some of that might be we have a machine that is not patched. We can identify that machine, put it into a group. Our servers are actually being patched by the Forescout right now, we're using that as a way to identify vulnerabilities, missing patches and then stage them into groups using the policies within the Forescout to be able to push down patches and you mentioned earlier one of the products that we had they gave us this visibility. We didn't really have anything. We had Forescout a number of years ago but we had some administration changes and we revamped our entire tool set. We came back and repurchased and re put in the Forescout in 2015, and that's where we've really been able to develop our current use cases and the strength behind the Forescout implementation that we have now. >> Right. And I'm just curious before we close are you, are you putting more IP connectivity on all of your kind of core SKUs? Are you seeing a potential benefit to put an IP address on a, on a wall, on a cube, on a desk, on all that stuff? How do you kind of see that evolving? >> I honestly see IoT being, you know, it's evolving very quickly obviously. We've got, we have IP addresses on our window blinds, you know. >> On your window blinds. >> Yeah, on our window blinds, so that they can control the amount of sunlight coming and we're LEED certified building. So we have all of these different IoT devices that control sunlight, control climate control in the building and obviously our production facilities have a lot of IoT devices as well and the Forescout helps us to be able to segment them into the correct VLANs, apply virtual firewalls, apply different changes to their own network. It gives us a lot of visibility and gives us a lot of control because of the granularity that it just natively collects. >> Right right. Well Joe, it's such a cool story you know. IP on shades that's my, that's my lesson of the day. (laughs) That it just shows that there's just so many opportunities to leverage this new technology in a very special way, but the complexity grows even faster right? >> It certainly does. >> Alright well thanks for taking a few minutes and I really enjoyed it. >> Awesome. >> Alright he's Joe, I'm Jeff, you're watching theCUBE. We're in the Forescout booth at RSA North America in Moscone Center thanks for watching we'll see you next time. (upbeat music)
SUMMARY :
Brought to you by Forescout. We're excited to have our very next guest So for the people Well Haworth is a global leader in outfitting beyond the shell So the protection of How well did it work for you guys? From the point that we deployed the ISO One of the bigger pieces that we found I'm not a data scientist. the product to actually right so that doesn't just I want you to use your laptop, And then you said that that was tied to and the way we're treating our growth is, that we have before their and I wonder if you could that exists to allow or disallow traffic. cause that really helps you because you can't hire you're of the products that we had How do you kind of see that evolving? on our window blinds, you know. of the granularity Well Joe, it's such a cool story you know. Alright well thanks for We're in the Forescout booth
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Dan Burns, Optiv | RSA 2019
(upbeat music) >> Live from San Francisco. It's theCUBE covering RSA Conference 2019, brought to you by Forescout. >> Hey welcome back everybody. Jeff Frick here with theCUBE. We're at RSA North America at the newly opened and finally finished Moscone Center. We're here in the Forescout booth, excited to be here. And we've got our next guest who's been coming to this show for a long, long time. He's Dan Burns, the CEO of Optiv. Dan, great to see you. >> Great to see you too, Jeff. Appreciate you having me on the show. >> So you said this is your 23rd RSA. >> Yeah, somewhere right around there. It's got to be and I don't think I've missed any in between. I've missed some Black Hats in there now and again but RSA is just one of those that that I feel like you got to go to. >> Right, right, so obviously the landscape has changed dramatically so we won't go all the way back 23 years. But in the last couple of years as things have really accelerated with the internet and IoT and OT and all these connected devices, autonomous cars. From a threat perspective and from where you sit in the captain's seat, what are you seeing? What are your, kind of your impressions? How are you helping people navigate this? >> Yeah I appreciate that question, Jeff. So it has changed dramatically. There's no doubt about it. So I got into security in 1996. And that was a long time ago so it's really in the infancy of security. And back in '96 when I remember really studying what security was, and by the way back then it was called information security. Now it's cyber security. But it was really straightforward and simple. There were probably two or three threats and vulnerabilities out there right? Some of the early on one so that's one part of the equation. The second part there were probably two or three regulations and standards out there. No more than that. And then when you went over to kind of the third part of the triad and you talk about vendors and technology there were maybe five or six right? You have McAfee, you have Check Point and you had some of the early, early stage companies that were really addressing kind of simplistic things, right? >> Right. >> Firewalling, URL filtering and things like that. And now you fast-forward to today and it's night and day, so much different. So today when we talk about threats and vulnerabilities there are hundreds of millions, if not billions, of threats and vulnerabilities. Number one, big problem. Number two, regulations standards. There's hundreds of them globally. And number three when you look at our great technology partners here and I think there's probably about 3,500 technology partners here on the floor today. Night and day >> Right. >> Nigh and day from '96 to 2019. And that's created a lot of issues, right? A lot of issues which I'm happy to talk about. >> Yeah, complexity and but you've been a great quote of one of the other things I saw doing the research for this interview. You talked about rationalization >> Yeah. >> and how does a CSO rationalize the world in which you just described because they can't hire their way out of it. They can't buy their way out of it. And at some point you're going to have to make trade-off decisions 'cause you can't use all the company's resources just for security. At the same time, you don't want to be in the cover of the Wall Street Journal tomorrow because you have a big breach that you just discovered. >> Yeah >> How do you help >> it's a balancing act >> How do you help them figure this, navigate these choppy waters? >> Yeah so we think Optiv is in a prime space to do that and place to do that. No doubt about it. So let's talk about the complexity that's out there. Now you look at the landscape. You look at the 25, 35 hundred different technology companies out there today. And when we talk to a typical client and we ask a question. How many vendors, how many OEMs do you have to deal with on an annual basis and the response, of course, depending on the size of the organization but let's just take your average small, mid-sized, enterprise client, the response is somewhere between 75 and 90 partners. And then of course we've got shot on our face. >> Just on the security side? >> Just on the security >> That's not counting all their CRM and all their >> That's not IT, that's not anything. That is just to solve >> 75? >> and build their own security programs. And the next response we get from them is we can't do it, we just can't do it. We spend about 90% of our time acting as if I'm the CSO right now, 90 plus percent of our time working with all of these wonderful, great technologies and partners just to establish those relationships and make sure we're going the right things by them and then by us. And so given this complexity in the marketplace, everything that's going on, it's just a prime scenario for what we call ourselves is a global cyber security solutions integrator, right? Being able to, for a lack of a better term, be the gatekeeper for our clients and help them navigate this complexity that's out there in the space. And so the value that we bring, I talk about it in terms of an equation, right? We're all mathematical in nature, typically people in cyber and so when I think about cyber, I think about equations. And the first equation I think abut is a very simplistic one. It's people, it's process and technology. And you need equal focus on all three of those parts of the equation to truly balance things in a matter where you're building a very effective security program. And historically CSOs have really leaned towards the technology side of that equation. >> Right. And now what we're seeing is a balance like we've got to worry about people, right? We've got to find people with that intelligence and knowledge and know-how and wherewithal, right? And we've got to find companies that have that process expertise, the processes, a means to an end. How do I get to a certain outcome? And so what we bring is the people process and technology. All sides of the equation with the ability in masses to help clients plan, build and run their entire security program or parts of it. >> So how, how is it changed with a couple things like cloud computing. >> Yeah. >> So now I'm sure the bad guys use the cloud just like the good guys use the cloud. So the type of scale and resources that they can bring to bear are significantly higher. Just the pure quantity of and variability using AI and machine learning and as we saw in the election really kind of simple Facebook targeting methods that most marketers use, that work at REI to get you to buy a sleeping bag if you looked at tents on your last way in. So how is the role of AI and machine learning now going to impact this balance? And then of course the other thing is all we see is so many open security jobs. You just can't hire enough people. They're just not there. So that's a whole kind of different level of pressure on the CSO. >> Yeah definitely no doubt about it. And there are few companies that can truly build that have enough budget to address cyber on their own. And those today are typically the large financial right? They're typically given massive budgets. >> Right. >> They have massive teams and they're able to minimize the partnerships and really handle a lot of their own stuff internally and go out for special things. But you look at the typical company, small, mid, even some of the large enterprise companies. No, they can't find the resources. They can't get the budget. They can't address everything. And to your point around digital transformation and what's going on in the world there. And that's probably what continues to support 3,500 technology companies out here. >> Right. >> Right? It's the continuous change >> Right. >> That we see in the industry every single day and of course cloud is one of the most recent transformations and obviously a real one which opens up other threat factors and other scenarios that create new vulnerabilities, and new threats and so that the problem just keeps getting bigger exponentially >> So you come in for another 20 years? Is that what you're saying? (laughing) >> How you're, come for another 20 years. I think though eventually, Jeff, I can remember I kind of poke fun at this a little bit. I can remember I think it was Palo Alto, there was a first company that said, hey we're a platform company. And I think that started happening whatever, it was roughly seven years ago. We're a platform company. And I can remember so many people kind of pooh-poohing that. Right, you're not a, nobody's a platform company. Fair enough, fair enough back then. But I'm going to say, fast-forward to today and that's what it's going to happen, have to happen in this industry, Jeff. >> Right, right. >> Eventually we will have to have some large platform companies that can address multiple things within a client's environment, right? And then there will always be the need to to fill gaps with some of the other great new emerging technologies out there so maybe we won't have 3,500 vendors in ten years. Maybe it's 2,000 so there will be consolidation. There will be the platform play >> Right. >> that happens. >> But then you have the addition of public cloud, right? So now a lot of, a lot of infrastructures, they've got some stuff in public cloud. They still have some stuff on their data center, right? So this is kind of hybrid world. Then you add the IoT thing and the OT connectivity back to the IT which is relatively new. So now if you've got this whole other threat factors that you never had to deal with before at all. It's the machines down on the factory floor. You had been pumping out widgets for a long time that are suddenly connected the infrastructure. So the environment that you're trying to apply security to is really evolving at a crazy pace. >> That is, it's a great industry to be in. (Jeff laughs) Every day I wake up, pitch myself I think all our guys do. >> Right. >> What's amazing, I don't see that slowing down, right? So I think that's why some of that balance continues to be there in the future. One of the things that we're seeing in our industry is companies really trying to take this inside-out approach as opposed to this outside-in approach. And I'll tell you the difference. The outside-in approach is it's all of this chaos, right? It's all the chaos that's behind us and we see it right here. It's everybody telling you what you need >> Right. >> and you build it, you building a security program around what's being fed to you externally as opposed to really taking a step back looking at your organization understanding what your company's initiatives and priorities are, right? And your own company's vision, mission and strategy. And I tell people all the time, I don't care if they're part of our company or any company, first thing you should do is understand the vision and the mission and the strategy of the organization you work for. And so that's part of the inside-out approach. Understanding what your company is trying to accomplish and is a security practitioner really wrapping your arms in your mind around that and supporting those initiatives and aligning your security initiatives to the business initiatives >> Right. >> And then doing it through a risk management type of program and feeding that risk management dashboard and information directly to the board >> Right. >> So. >> So I'm curious how the how you approach the kind of the changes now we have state-sponsored attackers. And how, what they're trying to get and why they're trying to get it has maybe changed and the value equation on your assets, that clearly some assets are super valuable and for some information and some things that are kind of classical but now we're seeing different motivations, political motivations, other types of motivations. So they're probably attacking different repositories of data that you maybe didn't think carry that type of value. Are you seeing >> Yeah. >> kind of a change in that both in the way the attacks are executed and what they're trying to get and the value they're trying to extract then just kind of a classic commercial ransomware or I'm just going to grab some money out of your account. >> Yeah I think, I think you are right. And it kind of goes back to the earlier part of the conversation, the number of devices that the attackers can attack are almost infinite right? >> Right. And especially with the edge right? With IoT it's created this thing we call the edge. Devices on street lights. Devices on meters. Devices here, devices there. >> Right, right. >> So the number of devices they can go for is ever increasing, right? which continues to support the need >> Right. and the cause that we all are a part of. And in the ways they're going to do that is going to change as well. There's no question about it. Yeah, so we've seen different ways of doing it. Yes there's no question about it. Back to the state-sponsored it's kind of stuff the way I look at cyber and probably one of my biggest personal concerns is I think about us, people and family right? We all have family is that cyber and ultimately cyber warfare has created this levity, or equalness in terms of countries, right? Where a country like the U.S. or Russia or somebody with massive resources around physical weapons are now no longer necessarily as powerful as they were. So brevity it's just created this field, leveling playing field. So countries like North Korea, countries like Afghanistan and others have a new opportunity to create a pretty bad situation. >> Right, right. And we haven't seen cyber warfare quote and unquote yet. We would call it something a little because they haven't really used it as a mass weapon of destruction but the threat of that being there >> Right. is creating a more of a even playing field. >> Right. >> And that's one of my biggest concerns like what's the next step there. >> Right, and the other thing is really the financial implications. If you don't do it right, it's beyond being embarrassed on the Wall Street Journal. But right GDPR regulations went into place last year. It's now the California data privacy law that's coming into place. >> Yeah. >> People are calling it kind of the GDPR of California. And that may take more of a national footprint as time moves on. It's weird on one hand we're kind of desensitized 'cause there's so many data breaches right? You can't keep track. We don't actually flip past that page on the wall. >> I can't keep track. But on the other hand there is this kind of this renewed, kind of consumer protection of my data that's now being codified into law with significant penalties. So I wonder how that plays into your kind of risk portfolio strategy of deciding how much to invest. How much you need to put into this effort because if you get in trouble, it's expensive. >> Yeah it is. So can be and it will be and it will get even more expensive. And we're still waiting for the lawmakers to levy some pretty heavy fines. We've seen a few but I think there's going to be more and I think you do have to pay more attention to regulations and compliance. But I think it is a balancing act. Back to our inside-out approach that I was talking about. A lot of companies when PCI came out, as you know, Jeff, a lot of companies were guiding their security program by PCI specifically >> Right. >> and only, and that's a very outside-in approach, right? That's not really accounting for the assets that you were talking about earlier. Not all of them. >> Right. >> Some of them. And so I think that's a great point, right? As a CSO, the first thing you've got to understand is what are your assets? What are you trying to protect? >> Right. And our friends here at Forescout do a great job of giving you the visualization of your network, understanding what your assets are. And then I think the next step is placing a dollar value on that. And not many people do that, right. They're, oh here's my assets. >> You're paying >> This one's kind of important >> This one's kind of important. But to get buy-in from the rest of your organization, you need to force the conversation with your counterparts, with your CFO, with your CMO, with anyone who's a partial owner of those assets >> Right. and make them put a dollar amount on. How much do you think that the data on the server is worth? How much do you think the data on this server, how much do you think, and inventory that is part of the asset inventory. And then I think you've got a much better argument as it relates to getting budget and getting buy-in. >> Right. >> Getting buy-in. And I see it a lot where CSOs tend to be, most tend to be a little bit introverted right? >> Right. >> They'd rather hang out there on the second floor and be there with their team. Take a look at the latest threats. Take a look at what's going on, with their (coughs) logs and their data and trying to solve really critical problems. But my recommendations to CSOs is man, build tight relationships across the entire organization and get out there, be out there, be visible. Get buy-in. Do lunch and learns on why cyber is so critical and how our employees can help us on this journey. >> Right, right. Dan you trip into a whole other category that we'll have to leave for next time which is, what is the value of that data 'cause I think that's changed quite a bit over the last little while. But thanks for taking a few minutes >> Absolutely, Jeff. and hopefully have a good 23rd RSA. >> Thank you very much. >> All right. >> I appreciate it. >> He's Dan, I'm Jeff. You're watching theCUBE. We're at RSA in North America at Moscone at the Forescout booth. Thanks for watching. See you next time. (upbeat music)
SUMMARY :
brought to you by Forescout. We're here in the Forescout booth, Great to see you too, Jeff. that that I feel like you got to go to. But in the last couple of years of the triad and you talk And now you fast-forward to today Nigh and day from '96 to 2019. of one of the other things At the same time, you don't want to be and the response, of course, That is just to solve of the equation to truly the processes, a means to an end. So how, how is it So how is the role of the large financial right? And to your point around and that's what it's going to happen, be the need to to fill gaps and the OT connectivity back to the IT great industry to be in. One of the things that we're seeing of the organization you work for. has maybe changed and the value equation and the value they're trying to extract of the conversation, the number of devices And especially with the edge right? and the cause that we all are a part of. but the threat of that being there is creating a more of And that's one of my biggest concerns Right, and the other thing of the GDPR of California. But on the other hand for the lawmakers to levy accounting for the assets As a CSO, the first thing And then I think the next step is But to get buy-in from the that the data on the server is worth? And I see it a lot on the second floor over the last little while. and hopefully have a good 23rd RSA. at Moscone at the Forescout booth.
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