>>Mhm >>Yes, welcome to this cube conversation. I'm lisa martin excited about this conversation. It's combining my background in life sciences with technology. Please welcome Mike Tarsa Lee, the chief scientific officer at Tetra Science. Mike I'm so excited to talk to you today. >>Thank you lisa and thank you very much to the cube for hosting us. >>Absolutely. So we talk about cloud and data all the time. This is going to be a very interesting conversation especially because we've seen events of the last what are we on 14 months and counting have really accelerated the need for drug discovery and really everyone's kind of focused on that. But I want you to talk with our audience about Tetra science, Who you guys are, what you do and you were founded in 2014. You just raised 80 million in series B but give us an idea of who you are and what you do. >>Got it. Tetro Science, what are we? We are digital plumbers and that may seem funny but really we are taking the world of data and we are trying to resolve it in such a way that people can actually pipe it from the data sources they have in a vendor agnostic way to the data targets in which they need to consume that data. So bringing that metaphor a little bit more to life sciences, let's say that you're a chemist and you have a mass spec and an NMR and some other piece of technology and you need all of those to speak the same language. Right? Generally speaking, all of these are going to be made by different vendors. They're all going to have different control software and they're all going to have slightly different ways of sending their data in. Petro Science takes those all in. We bring them up to the cloud or cloud native solution. We harmonize them, we extract the data first and then we actually put it into what we call our special sauce are intermediate data schema to harmonize it. So you have sort of like a picture and a diagram of what the prototypical mass spec or H P. L. C. Or cell counting data should look like. And then we build pipelines to export that data over to where you need it. So if you need it to live in an L. N. Or a limb system or in a visualization tool like spot fire tableau. We got you covered. So again we're trying to pipe things from left to right from sources to targets and we're trying to do it with scientific context. >>That was an outstanding description. Data plumbers who have secret sauce and never would have thought I would have heard that when I woke up this morning. But I'm going to unpack this more because one of the things that I read in the press release that just went out just a few weeks ago announcing the series B funding, it said that that picture science is pioneering a $300 billion dollar Greenfield data market and operating this is what got my attention without a direct cloud native and open platform competitor. Why is that? >>That's right. If you look at the way pharma data is handled today, even those that long tend to be either on prem solutions with a sort of license model or a distribution into a company and therefore maintenance costs, professional services, etcetera. Or you're looking at somebody who is maybe cloud but their cloud second, you know, they started with their on prem journey and they said we should go and build out some puppies, we should go to the cloud migrate. However, we're cloud first cloud native. So that's one first strong point. And the second is that in terms of data harmonization and in terms of looking at data in a vendor agnostic way, um many companies claim to do it. But the real hard test of this, the metal, what will say is when you can look at this with the Scientific contextual ization we offer. So yes, you can collect the data and put it on a cloud. Okay great. Yes. You may be able to do an extract, transform and load and move it to somewhere else. Okay. But can you actually do that from front to back while retaining all the context of the data while keeping all of the metadata in the right place? With veracity, with G XP readiness, with data fidelity and when it gets over to the other side can somebody say oh yeah that's all the data from all the H. P. L. C. S we control. I got it. I see where it is. I see where to go get it, I see who created it. I see the full data train and validation landscape and I can rebuild that back and I can look back to the old raw source files if I need to. Um I challenge someone to find another direct company that's doing that today. >>You talk about that context and the thing that sort of surprises me is with how incredibly important scientific discovery is and has been for since the beginning of time. Why is why has nobody come out in the last seven years and tried to facilitate this for life sciences organizations. >>Right. I would say that people have tried and I would say that there are definitely strides being made in the open source community, in the data science community and inside pharma and biotech themselves on these sort of build motif, right. If you are inside of a company and you understand your own ontology and processes while you can probably design an application or a workflow using several different tools in order to get that data there. But will it be generally useful to the bioscience community? One thing we pride ourselves on is when we product eyes a connector we call or an integration, we actually do it with a many different companies, generic cases in mind. So we say, OK, you have an h p l C problem over at this top pharma, you have an HPC problem with this biotech and you have another one of the C R. O. Okay. What are the common points between all of those? Can we actually distill that down to a workflow? Everyone's going to need, for example a compliance workflow. So everybody needs compliance. Right. So we can actually look into an empower or a unicorn operation and we can say, okay, did you sign off on that? Did it come through the right way? Was the data corrupted etcetera? That's going to be generically useful to everybody? And that's just one example of something we can do right now for anybody in bio pharma. >>Let's talk about the events of the last 14 months or so mentioned 10 X revenue growth in 2020. Covid really really highlighted the need to accelerate drug discovery and we've seen that. But talk to me about some of the things that Tetra science has seen and done to facilitate that. >>Yeah, this past 14 months. I mean um I will say that the global pandemic has been a challenge for everyone involved ourselves as well. We've basically gone to a full remote workforce. Um We have tried our very best to stay on top of it with remote collaboration tools with vera, with GIT hub with everything. However, I'll say that it's actually been some of the most successful time in our company's history because of that sort of lack of any kind of friction from the physical world. Right? We've really been able to dig down and dig deep on our integrations are connections, our business strategy. And because of that, we've actually been able to deliver a lot of value to customers because, let's be honest, we don't actually have to be on prem from what we're doing since we're not an on prem solution and we're not an original equipment manufacturer, we don't have to say, okay, we're going to go plug the thing in to the H. P. L. C. We don't have to be there to tune the specific wireless protocols or you're a W. S. Protocols, it can all be done remotely. So it's about building good relationships, building trust with our colleagues and clients and making sure we're delivering and over delivering every time. And then people say great um when I elect a Tetra solution, I know what's going right to the cloud, I know I can pick my hosting options, I know you're going to keep delivering more value to me every month. Um Thanks, >>I like that you make it sound simple and that actually you bring up a great point though that the one of the many things that was accelerated this last year Plus is the need to be remote that need to be able to still communicate, collaborate but also the need to establish and really foster those relationships that you have with existing customers and partners as everybody was navigating very, very different challenges. I want to talk now about how you're helping customers unlock the problem that is in every industry data silos and point to point integration where things can talk to each other, Talk to me about how you're helping customers like where do they start with? Touch? Where do you start that? Um kind of journey to unlock data value? >>Sure. Journey to unlock data value. Great question. So first I'll say that customers tend to come to us, it's the oddest thing and we're very lucky and very grateful for this, but they tend to have heard about what we've done with other companies and they come to us they say listen, we've heard about a deployment you've done with novo Nordisk, I can say that for example because you know, it's publicly known. Um so they'll say, you know, we hear about what you've done, we understand that you have deep expertise in chromatography or in bio process. And they'll say here's my really sticky problem. What can you do here? And invariably they're going to lay out a long list of instruments and software for us. Um we've seen lists that go up past 2000 instruments. Um and they'll say, yeah, they'll say here's all the things we need connected, here's four or five different use cases. Um we'll bring you start to finish, we'll give you 20 scientists in the room to talk through them and then we to get somewhere between two and four weeks to think about that problem and come back and say here's how we might solve that. Invariably, all of these problems are going to have a data silos somewhere, there's going to be in Oregon where the preclinical doesn't see the biology or the biology doesn't see the screening etcetera. So we say, all right, give us one scientist from each of those, hence establishing trust, establishing input from everybody. And collaboratively we'll work with, you will set up an architecture diagram, will set up a first version of a prototype connector, will set up all this stuff they need in order to get moving, we'll deliver value upfront before we've ever signed a contract and will say, is this a good way to go for you? And they'll say either no, no, thank you or they'll say yes, let's go forward, let's do a pilot a proof of concept or let's do a full production rollout. And invariably this data silos problem can usually be resolved by again, these generic size connectors are intermediate data schema, which talks and moves things into a common format. Right? And then also by organizationally, since we're already connecting all these groups in this problem statement, they tend to continue working together even when we're no longer front and center, right? They say, oh we set up that thing together. Let's keep thinking about how to make our data more available to one another. >>Interesting. So culturally, within the organization it sounds like Tetra is having significant influences their, you know, the collaboration but also data ownership. Sometimes that becomes a sticky situation where there are owners and they want to read retain that control. Right? You're laughing? You've been through this before. I'd like to understand a little bit more though about the conversation because typically we're talking about tech but we're also talking about science. Are you having these technical conversations with scientists as well as I. T. What is that actual team from the customer perspective look >>like? Oh sure. So the technical conversation and science conversation are going on sometimes in parallel and sometimes in the same threat entirely. Oftentimes the folks who reach out to us first tend to be the scientists. They say I've got a problem, you know and and my research and and I. T. Will probably hear about this later. But let's go. And then we will invariably say well let's bring in your R. And D. I. T. Counterparts because we need them to help solve it right? But yes we are usually having those conversations in parallel at first and then we unite them into one large discussion. And we have varied team members here on the Tetris side we have me from science along with multiple different other PhD holders and pharma lifers in our business who actually can look at the scientific use cases and recommend best practices for that and visualizations. We also have a lot of solutions architects and delivery engineers who can look at it from the how should the platform assemble the solution and how can we carry it through? Um And those two groups are three groups really unite together to provide a unified front and to help the customer through and the customer ends up providing the same thing as we do. So they'll give us on the one call, right? Um a technical expert, a data and QA person and a scientist all in one group and they'll say you guys work together to make sure that our orders best represented here. Um And I think that that's actually a really productive way to do this because we end up finding out things and going deeper into the connector than we would have otherwise. >>It's very collaborative, which is I bet those are such interesting conversations to be a part of it. So it's part of the conversation there helping them understand how to establish a common vision for data across their organization. >>Yes, that that tends to be a sort of further reaching conversation. I'll say in the initial sort of short term conversation, we don't usually say you three scientists or engineers are going to change the fate of the entire orig. That's maybe a little outside of our scope for now. But yes, that first group tends to describe a limited solution. We help to solve that and then go one step past and then they'll nudge somebody else in the Oregon. Say, do you see what Petra did over here? Maybe you could use it over here in your process. And so in that way we sort of get this cultural buy in and then increased collaboration inside a single company. >>Talk to me about some customers that you've worked with it. Especially love to know some of the ones that you've helped in the last year where things have been so incredibly dynamic in the market. But give us an insight into maybe some specific customers that work with you guys. >>Sure. I'd love to I'll speak to the ones that are already on our case studies. You can go anytime detector science dot com and read all of these. But we've worked with Prelude therapeutics for example. We looked at a high throughput screening cascade with them and we were able to take an instrument that was basically unloved in a corner at T. Can liquid handler, hook it up into their Ln. And their screening application and bring in and incorporate data from an external party and do all of that together and merge it so they could actually see out the other side a screening cascade and see their data in minutes as opposed to hours or days. We've also worked as you've seen the press release with novo Nordisk, we worked on automating much of their background for their chromatography fleet. Um and finally we've also worked with several smaller biotechs in looking at sort of in stan shih ation, they say well we've just started we don't have an L. N. We don't have a limbs were about to buy these 50 instruments. Um what can you do with us and we'll actually help them to scope what their initial data storage and harmonization strategy should even be. Um so so we're really man, we're at everywhere from the enterprise where its fleets of thousands of instruments and we're really giving data to a large amount of scientists worldwide, all the way down to the small biotech with 50 people who were helping add value there. >>So big range there in terms of the data conversation, I'm curious has have you seen it change in the last year plus with respect to elevating to the C suite level or the board saying we've got to be able to figure this out because as we saw, you know, the race for the Covid 19 vaccine for example. Time to value and and to discovery is so critical. Is that C suite or board involved in having conversations with you guys? >>It's funny because they are but they are a little later. Um we tend to be a scientist and user driven um solution. So at the beginning we get a power user, an engineer or a R and D I. T. Person in who really has a problem to solve. And as they are going through and developing with us, eventually they're going to need either approval for the time, the resources or the budget and then they'll go up to their VP or their CIA or someone else at the executive level and say, let's start having more of this conversation. Um, as a tandem effort, we are starting to become involved in some thought leadership exercises with some larger firms. And we are looking at the strategic aspect through conferences, through white papers etcetera to speak more directly to that C suite and to say, hey, you know, we could fit your industry for dato motif. And then one other thing you said, time to value. So I'll say that the Tetro science executive team actually looks at that as a tract metric. So we're actually looking at driving that down every single week. >>That's outstanding. That's a hard one to measure, especially in a market that is so dynamic. But that time to value for your customers is critical. Again, covid sort of surfaced a number of things and some silver linings. But that being able to get hands on the day to make sure that you can actually pull insights from it accelerate facilitate drug discovery. That time to value there is absolutely critical. >>Yeah. I'll say if you look at the companies that really, you know, went first and foremost, let's look at Moderna right? Not our customer by the way, but we'll look at Madonna quickly as an example as an example are um, everything they do is automated, right? Everything they do is cloud first. Everything they do is global collaboration networks, you know, with harmonized data etcetera. That is the model we believe Everyone's going to go to in the next 3-5 years. If you look at the fact that Madonna went from sequence to initial vaccine in what, 50, 60 days, that kind of delivery is what the market will become accustomed to. And so we're going to see many more farmers and biotechs move to that cloud first. Distributed model. All data has to go in somewhere centrally. Everyone has to be able to benefit from it. And we are happy to help them get >>Well that's that, you know, setting setting a new record for pace is key there, but it's also one of those silver linings that has come out of this to show that not only was that critical to do, but it can be done. We have the technology, we have the brain power to be able to put those all user would harmonize those together to drive this. So give me a last question. Give me an insight into some of the things that are ahead for Tetra science the rest of this year. >>Oh gosh, so many things. One of the nice parts about having funding in the bank and having a dedicated team is the ability to do more. So first of course our our enterprise pharma and BioPharma clients, there are plenty more use cases, workflows, instruments. We've just about scratch the surface but we're going to keep growing and growing our our integrations and connectors. First of all right we want to be like a netflix for connectors. You know we just want you to come and say look do they have the connector? No well don't worry. They're going to have it in a month or two. Um so that we can be basically the almost the swiss army knife for every single connector you can imagine. Then we're going to be developing a lot more data apps so things that you can use to derive value from your data out. And then again, we're going to be looking at helping to educate everybody. So how is cloud useful? Why go to the system with harmonization? How does this influence your compliance? How can you do bi directional communication? There's lots of ways you can use. Once you have harmonized centralized data, you can do things with it to influence your order and drive times down again from days and weeks, two minutes and seconds. So let's get there. And I think we're going to try doing that over the next year. >>That's awesome. Never a dull moment. And I, you should partner with your marketing folks because we talked about, you talked about data plumbing the secret sauce and becoming the netflix of connectors. These are three gems that you dropped on this this morning mike. This has been awesome. Thank you for sharing with us what teacher science is doing, how you're really helping to fast track a lot of the incredibly important research that we're all really um dependent on and helping to heal the world through data. It's been a pleasure talking with you. >>Haley says I'm a real quickly. It's a team effort. The entire Tetro science team deserves credit for this. I'm just lucky enough to be able to speak to you. So thank you very much for the opportunity. >>And she about cheers to the whole touch of science team. Keep up the great work guys. Uh for mike Roselli, I'm lisa martin. You're watching this cube conversation. >>Mhm.

>>from >>around the globe. It's the Cube with digital coverage of AWS reinvent 2020. Special coverage sponsored by A. W s Global Partner Network. >>Welcome back to the cubes. Coverage of reinvent 2020 virtual. Three weeks. We're here covering all the action. Virtually Mister Cube. Virtual normally were in person. This year. We're remote. It's cute. Virtual. We are the cube virtual. And I'm please have a great guest here, man. Who? Car Kumar, Who's the VP of product market Nutanix. Um, the tons of deep coverage on Nutanix over the years we followed the this company since its inception almost over just over 10 years ago. Uh, medic are Welcome to the Cube. Thanks for coming on today. >>Nice to be here, John. >>Were part of the A p. M. Partner experience programming in within. The reinvent is a big day here. Um, you guys are a big part of it. You you have such a great partnership with a W s. You have product on on a W s, which is a high distinction in the in the spirit of their partnership technology rise. Can you tell us real quick? A quick update on the partnership with AWS. What is it? How's it going? What's new? >>So I think about it. We had a dot next John, and as part of that, we announced something called Nutanix clusters. And as part of that cluster that's our hybrid, uh, solution. Basically, what we're saying is we have a lot of customers who certainly had to, you know, take years or maybe even months of digital transformation. And then all of a sudden, they have to now figure out how do I go toe elastic work Lord, in a few weeks. So we were seeing a lot of our customers coming to us and saying, Hey, we really need help with this. We no longer in a situation where we have to go on by a silver and rack and stack that and then, you know, manage all of that over a pair of month. We really need to do something in few weeks, and when we do that, we need some tools that we are really familiar with and something that can help us get toe cloud as quickly as possible. So we were seeing this a lot even before the macro conditions. So sometime around August, we as part of our annual conference. We did announce a partnership with Data Blue s where now you can run an entire Nutanix cluster with all of its products on AWS bare metal as well. And that's the hybrid solution that we're talking about John today. >>That's awesome. And in line with the major themes and waves from the announcements from Andy Jassy and slew of kind of higher level services because the co fit pandemic really highlights this digital transformation of cloud bursting Thio. You know, deploying quicker in the cloud, being more agile and having speed thio value because you need it because of the world's changed. But it's also highlighted. This is a key theme. I want to get your reaction. Teoh is the hybrid Cloud E. I mean, it's been out there. We saw Outpost two years ago, and it's been kind of filling in and and now the environment is clear, right? The enterprises they're saying, I have to operate on premises and in the cloud the same kind of way, but I'm going to do different things. It's not just lift and shift. Throw in the cloud that's been there, done that. It's different. Now it's operating models and environment. Two different environments operate the same. Your reaction. >>That's exactly right. In fact, what we're seeing is from an i d perspective. The new reality is multiple environments on those environments. You know, it could be your, of course, your private data center. It could be your public cloud. Sometimes it could even be the edge and so on. And every time what we see is if you don't have the portability off your workload, you have to kind of redo a whole bunch of things. You have to re factor your applications. You have to go maybe even re skill, your entire workforce. And so there's a lot of overhead involved. Whenever portability is involved in The new reality is that you have to have portability, which is the reason why we see, even with kubernetes, taking such a strong hole in a lot of these organizations. So we've we've been seeing a bunch of different use cases come to us as well. Some customers saying, Hey, that's great that we have all of these multiple tools, but I want consistency. I want consistency in the constructs off the way I manage my i t If I'm managing some workload abs in a different way on Prem, I want to maintain that also in Public Cloud. How do I do that? So clusters really tries to address that gap. In fact, another story I will tell you, John, is that disaster recovery is one of those use cases that we're seeing quite a lot in these conditions as well. We had one customer come to us based in Oregon and they had, of course, you've heard about the fires over there, and they did not really have a disaster recovery plan. So what do you do in situations like that? You have to rely on cloud. So within four hours, we were able to help them to take, you know, their entire infrastructure and have a recovery plan directly into the cloud. So you're seeing a lot off. You use cases like that to, >>you know, that's interesting. The d. R. That recovery is a great one of many use cases, but it highlights the pandemic surge of the change right that the sea change. It's so fast. Okay, Yeah, disaster recovery. We're gonna cloud great solution. But because of the personnel challenges. It also works well, too. So this is the theme. You know, personnel may or may not be available. I got to get to the cloud. I gotta have everything. Software run. Everything is being run by software. So this kind of brings up my favorite topic, which is a big part of the this year's event, which is architecture and edge. And you're starting to see not to pat myself on the back. But I kind of predicted a couple of years ago that there is no edge of its cloud, right. It's cloud public cloud you got on premise Edge data centers a big edge. I mean, it's all the one thing, right? So edges big now, right? And now people working at home, it's an edge, and it highlights all the security issues. So how do you operate that? Yeah, this is a huge challenge. Yeah, >>of course. I think what you touched upon is ah, massive shift that we have seen over the years. As you said, right? Even if you look at things like Calico, for example, first, over a massive shift from hardware specialized hardware to virtualized network functions, for example, which will virtual machines, and I think we are seeing a bigger shift also now where virtual machines are now moving over to containers. And because these are all micro services and very tiny, so to speak, you can run it anywhere and hopefully and commodity hardware. So throughout the years, if you look at if you followed Nutanix, we have followed the path where we started off with hyper hyper converge infrastructure, and that was virtual izing your entire data center stack so you could take storage. Network compute, and now it's completely software defined or virtualized. Whatever you wanna call it, you can run it on any commodity hardware or hardware off your choice. What we see now is that we want toe. Apply that same principle off, being ableto right once, and run anywhere and be agnostic to the underlying layers, even for cloud. So, just as you could take and run your entire Nutanix platform on, create virtual machines and containers on a HP or Dell box, you can now also take that and also run it on Public Cloud, for example. Yeah, that's a great >>point. I mean, I want to just that's the first. That's a great point that's been in your mission from day one. But I wanna ask you if I don't if you don't mind on the edge one topic that's come up a lot, um, this week on we've been reporting on this before. Reinvent I think a VM world that came up a few months ago, um, purpose built edge devices in the old days were purpose built. They were purpose built with, you know, up and down the stack from hardware supply chain all the way. It's software. But when you're kind of getting at is kind of this new use case where you can have a purpose built edge device, whether it's a you know, wearable or machine sensors or whatever machines and still run software on their trusted software suffer defined. This is a key point. Can you can you unpack that this piece? Because I think this is kind of where the rubber meets the road, because if you can be software operated, you can go to that device. It could still be purpose built. >>You still function >>with software >>that that's exactly right. So if you think about it at the end of the day, if you're running some sort of an application or a workload. I always say you need compute, you need storage and you need networking. And we started off with physical hardware than with virtual machines and now with containers. But at the containers level or at the virtual machine level, the application doesn't really care about the underlying pieces right, And that's been our principal when we created the entire Nutanix stack on virtualized everything. So with the Newtown in stock you could take, you know we have our own hyper visor, but we also support others as well, so you can create virtual machines. You can create containers, you could have storage network. And now, because we are agnostic, you can actually run it on hardware off your choice or an environment off your choice. What's more important, though here is that you know the same set of tools that you used to manage. Your data center is now also available available to you to be able to manage it on other environments to in this case it's AWS, or if you decide to run it in any other environment, it would be the exact same. Construct the exact same automation scripts. >>And that, really is what seamless really means. Matt Kuchar. Thanks for coming on and sharing that inside. I want to get your thoughts as we wrap up here. Um, if you could tease out the most important feature or benefit or technology solution up with of the Nutanix on AWS because you know and reinvent, there's a lot of sessions people can go to. You guys have your own. Build your workshop, build your own hybrid cloud workshop. People should check that out. But you know your product marketing your job is to figure out what people really love the most about it. So, you know, here at reinvent this week, what's the most important thing? What should people pay attention to with Nutanix and AWS? >>Yeah, I think it's for us. Uh, I see myself as a developer. Still are our technical person, and for me, what I what really excites me about clusters is through the freedom of choice. I can choose to run it on the environment of my choice in this case is AWS, But there are some Enberg cost benefit features that's in there, you know, as you know, if you create something in the cloud. You don't necessarily think off cloud or cost. You create something that runs all the time, but you often have to worry about Hey, how much is going to cost this? So one of things that we did right as part of clusters is a hibernate feature. And what it allows you to do is that when you're not using clusters, you just like your laptop. You close the screen, you hit the hibernate button on it takes the entire state of your cluster and saves it on s three bucket. And when you're ready, toe reignited. You just hit the resume button. So when you're not using it using the true fundamentals of cloud, you are actually saving costs. That's one of the thing I think is something that will really excite a lot of I. D folks like me. >>Well, you know, being technical, being on the right wave. Software defined software operated infrastructure, automation, speed, consistency, multiple environments operating consistently. This is the Holy Grail is what we want and you guys are doing it. Congratulations. And and have a good Have a good conference. Thanks. >>All right. Thanks. So >>Okay. So cubes coverage of aws reinvent 2023 weeks. We're here. Virtually this. The cube. We are the cube Virtual. I'm John Furry, your host. Thanks for watching.

>>From around the globe with digital coverage of the 2020. Hi, I'm Stu Miniman and this is the Cube's coverage of 2020 online. I'm really happy to welcome first time guests and he is the chief information. You're the officer at Veeam. Thank you so much for joining us. Always loved it. That was a CSO. >>Awesome. Thanks for having me Stu. >>All right, so, so guilt, give us a little bit of your background and you're relatively new than beam, obviously, you know, when you took the job, uh, that the current, you know, global, uh, pandemic, uh, wasn't uh, you know, necessarily right center, but, uh, yeah. Give, give our audience a little bit of who you are. >>Yeah. Yeah. Timing is everything I, um, I have, I bet named for 90 plus days, uh, joined the company just before the global pandemic, uh, broke loose and sort of disrupted our entire, uh, our entire planet. Uh, before that I was, uh, I was the CSO for five years of, uh, uh, systemically important financial services, >>Market utility. >>Uh, but most of my experiences, um, is in government. I was a, I was a federal executive for almost 20 years in Washington, D C where I was a CSO at the department of energy, a Homeland security, Naval intelligence, and a few other places. >>Excellent. Well, that's a great pedigree. We've loved talking to them, public people. Uh, obviously you're already front and center. Uh, they're always okay. Really? I mean, it's a board level. Got, okay. Nope. Uh, dirty, so much of what's going on. Yeah. I have to ask you though with the global pandemic hitting, uh, obviously, you know, work from home is, is, is a big piece of what's going on. Mmm. Give us, you know, kind of your first reaction then they are being new to the role. How do you make it for that? You know, Veeam itself is safe and that you're customers, uh, as they're, you know, dealing with things that, you know, they stay secure. >>That's a, that's a great question. I don't think anyone can say they were a hundred percent prepared for a global pandemic, the likes of which no one's ever really experienced before, at least in the modern age, but, you know, Veeam is largely a, even though we're 5,000 strong and global is largely a virtual a workforce. So a large majority of our, um, our teammates work from home and mobile situation. So, uh, the company has a long track record of providing really innovative and secure tools so that we can conduct our business, both, you know, with our customers, with our sales teams, generating leads, our technical teams, developing product. Um, the technology here is, uh, is, is pretty impressive. I, I will say, um, >>Uh, the impact to our workforce, at least from a virtual perspective, hasn't, uh, ha hasn't been as significant as some more traditional companies, um, being the new CSO here at beam. It's a first time position for the company. Uh, who's taken this topic very seriously. It's a, it has been for me personally, a bit of, a bit of a challenge in building my team, obviously, uh, the InfoSec, uh, space, cyber security space is very competitive when you're trying to hire folks. Uh, and the, uh, the pandemic obviously has made, uh, has made folks think twice about transitioning or starting careers or changing companies. So it's put a little bit, a little bit of a hitch in my step in terms of, uh, overall planning. Uh, but we're moving on to some different strategies and building a team a little, little slower than we had anticipated. >>Yeah, well, it's definitely understandable, but put a free for most people were that awesome a little bit these days and, you know, organizationally, this is a new role. Okay. I worked for the CIO. Are you okay? Yeah. What's been your with some of those organizations, well, dynamic, you know, with CSO lives, sports in the org. Yeah. I think it really depends upon the company's culture, right. That drives where this role sits at my, at my previous company, I've worked four, uh, the CIO who was a corporate officer, uh, here at Veeam, uh, it is a new position, uh, and there's such a significance placed on, uh, cybersecurity because of the expectations around this topic. Not only from our board Mmm. Uh, our customers, uh, uh, are the government regulators and everyone else, uh, this role, my role reports directly into bill large and our CEO, which, you know, fully empowers me as a, as a member of the, of the management team of the entire company to drive the, the, the initiatives that need to be driven so that, uh, we can meet those expectations, which know, I tend to write a rise every year from, uh, expectations of our customers, product features in our, in our products, uh, regulatory requirements and so forth. >>So yeah, um, this space tends to get, uh, more difficult, more complex as time goes on. And I think, uh, that the team has, uh, constructed this role in an operating model that, um, that is going to make it highly successful. Yeah. Well, you know, data security, absolutely critical today's landscape, but, you know, give us your thoughts about, you know, data security and really modernized. Yeah. And you know, what, what is your charter? Okay. Right. Hmm. They know fits in there. Yeah. Yeah. You know, deem is now a us company. Right. And the idea here is to direct, continue to drive growth in, in North America. And one of the key components of that growth, it has to be the U S government. I have a pedigree with U S government. I understand what the requirements are to do business there. So again, back to those expectations, uh, my charge here is to deliver us not only an internal cyber security program that continues to meet and exceed those expectations, but to be able to position our products in a way that not only solves some of the data resiliency issues that the government faces and that are global customers face, but also helped us solve some of these significant cyber security issues that they're trying to manage, you know, in the boardroom cybersecurity is, is, is essentially the number one operational risk now with a lot of focus, uh, across, uh, not only the boards, but all the functional areas of the company, whether it's finance, sales, technology, and security, it's, it's just, it seems to be the topic that everyone's most concerned about. >>And we just want to make sure that we're positioned in a way, um, that, uh, that drives what we're delivering here as a competitive advantage. Yeah. So what, what are some keys to consideration for data security on modern business? >>I'm sorry, you broke up. Could you repeat that question, Stu? Are there any considerations for modern business? Yeah. You know, um, there are, uh, there there's, there's so many, right. I tend to focus on, uh, the simple things for most companies, right? The, uh, the priorities that every CSO ought to have, uh, are around, um, you know, the, the, the blocking and tackling of a risk based vulnerability management program, making sure that your identity of your managing identities so that the right people have the right access to the right resources at the right time. Um, you, you got to have those strong and fast cyber ops because you will have incidents. Right. We all know that, uh, if you're a CSO in a company that's, uh, you're not managing incidents, chances are, you're not seeing incidents, which is probably worse than, um, then not having them. >>Um, the other thing that I've learned, uh, as a key consideration for protecting your company, coming from government is this concept of information sharing and making sure that you're, uh, that you're, that you're not only speaking with your peer companies, but your competitors as well, because they're seeing an awful lot of the same issues that you will see or have seen. And there's really no, the competitive advantage in information sharing amongst the CSOs in, in, in, uh, various industry communities and financial services. I feel like they've optimized that where I came from, uh, I would talk with, uh, CSOs at my competing firms on a, on a weekly basis, uh, comparing notes, talking about threats, understanding threat actors, talking about technology and so forth, just trying to provide for, uh, this sense of collective defense that those in the financial services industry has together. Um, and then, you know, obviously for the last several years, there's gotta be a deep understanding of the differences and managing cyber security in the cloud and what that entails and, you know, holding those vendors, uh, accountable for your security requirements, you can outsource the technology, but you can't outsource the tech, uh, the risk. >>So you, you have to be able to understand how the cloud changes, uh, the risks that you're facing, um, from the internet. Yeah. No, I'm, I'm, I'm so glad you brought up, uh, you know, early in my career. Yeah, yeah. 20 years ago. And, you know, could it be a differentiator and therefore there wasn't necessarily that sharing among your group, or they were very careful how they did things because, Oh, wait, I tried this project. I might have some advantages, you know, as you said, security is something we need to, as a community, get involved with you also brought up. Wow. So if we look at cloud models today, we really, yeah. Okay. Facility model. Mmm. So know how should people be thinking about cloud, uh, how should they be, uh, you know, moving forward, you know, really these multitudes of environments that they need yeah, yeah. >>You know, we could, we could probably have an hour show and talk about some of the scar tissue that I've gained over the years in managing cloud programs. The number one, uh, the number one thing I would talk about, I think it's probably the most important thing is making sure you understand exactly what security services your cloud provider is providing. And don't assume, um, that they're going to meet your requirements. You need to understand what those requirements are, whether or not they fit your business, an operations model and whether or not they're, um, Mmm they're they're capable of meeting the risk appetite that you've set for yourself and communicated to your board. Uh, in, in, in certain, some in certain cases, the default clouds, uh, security services, won't meet those, uh, expectations and you'll have to work with the cloud vendors to augment those in a way that makes, uh, that makes it Mmm, more, uh, acceptable for your, uh, for your risk profile and for your business. >>Um, I've often I talk with peers who, Mmm. Uh, at companies, smaller companies who just assume that the large cloud providers are going to take care of everything that you used to take care of on prem. Uh, and in fact, there are just certain things, uh, that are happening in the cloud that are completely different than on prem situation, as it relates to cyber. And you've got to have a really good understanding of, of, of how those are differentiated, uh, because if, uh, if, if you're making assumptions about the level of cybersecurity services that you're procuring in the cloud, uh, it's probably gonna turn around and bite you at some point. Yeah. It, I, I laugh a little bit. I think please free cloud era. No, yeah. Force let's get somebody that is okay. Lazy or, you know, being a little bit malicious. Okay. Yeah. >>Go against dirty things that you said, well, if you go to the cloud, you know, something's angel, I haven't, I need to make sure, sure. That I've adjusted those settings. Oh, wait. Yeah. There's something I should have looked do too. Let me make sure I adjust those. I think at least, I think cloud providers are, you know, a little bit more engaged after some yeah. You know, uh, kinks in the armor, uh, that, that we're seeing. So, uh, the, the, there have been a little bit more awareness of what's going on. Everybody is engaging a little bit more Mmm. Gil, uh, governance and ransomware things hockey for many years. How does that yeah. Uh, your, your overall discussion, um, you know, governance is probably one of the most overlooked that most important components of a cybersecurity program that's effective. Um, we don't do cyber security just to do cyber security. >>We're trying to meet key business objectives. We're trying to meet customer expectations. We're trying to support technology integration programs and having all of the efforts of the CSO and his Oregon, his or her organization governed, uh, correctly within the corporate structure is just absolutely critical here at Veeam. Uh, the, um, uh, my function has governed, uh, by the border, by the board of directors, as it is in most large companies. So they're interested obviously in the health status of the projects that I'm, uh, that I'm leading the initiatives that I'm driving, the transformations that are occurring across the globe. They're interested in, uh, understanding exactly how the product feature sets and are in our Mmm. And our products are being informed by the experiences of our, of our internal team and what our customers need. Uh, for us, it's very important to provide that oversight and insight into everything that we're doing, uh, at the highest levels, so that, uh, so that our board of directors can have a really good understanding of, um, of overall risk of the, uh, of the organization and what we're facing. >>Final question I have for you, key priorities forward, what should we be looking for work? And yes, that's particularly. Yeah, sure. So we've, uh, we've gone and we've adopted a new security framework. We've adopted the NIST cybersecurity framework version one.one. We're leading ourselves through a maturity assessment based on that framework, we're setting a objective Mmm Mmm. Maturity measures for each of the components of our cyber security program based on the NIST cybersecurity framework. And we're driving some transformation across the globe to make sure that, uh, we're doing everything we can to protect, uh, not only the company, but our customer's data, our products, and so forth. We're also positioning ourselves in a way to, uh, as I said earlier, enhance our business opportunities with, with the U S government and adopting the new cyber security framework is probably right the first step in a long program to, um, to be able to do much more, much more business with, uh, with our government counterparts. All right. Well, thank you so much for joining us. Really pleasure to talk. Very good. Thanks too. Alright. Be back with lots more coverage from online. Thank you for walking. Thank you.

>> Narrator: From the Cube Studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hi, and welcome to this CUBE conversation, I'm Stu Min and I'm coming to you from our Boston area studio, we've been digging in with the Pensando team, understand how they're fitting into the cloud, multi-cloud, edge discussion, really thrilled to welcome to the program, first time guest, Silvano Gai, he's a fellow with Pensando. Silvano, really nice to see you again, thanks so much for joining us on theCUBE. >> Stuart, it's so nice to see you, we used to work together many years ago and that was really good and is really nice to come to you from Oregon, from Bend, Oregon. A beautiful town in the high desert of Oregon. >> I do love the Pacific North West, I miss the planes and the hotels, I should say, I don't miss the planes and the hotels, but going to see some of the beautiful places is something I do miss and getting to see people in the industry I do like. As you mentioned, you and I crossed paths back through some of the spin-ins, back when I was working for a very large storage company, you were working for SISCO, you were known for writing the book, you were a professor in Italy, many of the people that worked on some of those technologies were your students. But Silvano, my understanding is you retired so, maybe share for our audience, what brought you out of that retirement and into working once again with some of your former colleagues and on the Pensando opportunity. >> I did retire for a while, I retired in 2011 from Cisco if I remember correctly. But at the end of 2016, beginning of 2017, some old friend that you may remember and know called me to discuss some interesting idea, which was basically the seed idea that is behind the Pensando product and their idea were interesting, what we built, of course, is not exactly the original idea because you know product evolve over time, but I think we have something interesting that is adequate and probably superb for the new way to design the data center network, both for enterprise and cloud. >> All right, and Silvano, I mentioned that you've written a number of books, really the authoritative look on when some new products had been released before. So, you've got a new book, "Building a Future-Proof Cloud Infrastructure," and look at you, you've got the physical copy, I've only gotten the soft version. The title, really interesting. Help us understand how Pensando's platform is meeting that future-proof cloud infrastructure that you discuss. >> Well, network have evolved dramatically in the data center and in the cloud. You know, now the speed of classical server in enterprise is probably 25 gigabits, in the cloud we are talking of 100 gigabit of speed for a server, going to 200 gigabit. Now, the backbone are ridiculously fast. We no longer use Spanning Tree and all the stuff, we no longer use access code aggregation. We switched to closed network, and with closed network, we have huge enormous amount of bandwidth and that is good but it also imply that is not easy to do services in a centralized fashion. If you want to do a service in a centralized fashion, what you end up doing is creating a giant bottleneck. You basically, there is this word that is being used, that is trombone or tromboning. You try to funnel all this traffic through the bottleneck and this is not really going to work. The only place that you can really do services is at the edge, and this is not an invention, I mean, even all the principles of cloud is move everything to the edge and maintain the network as simple as possible. So, we approach services with the same general philosophy. We try to move services to the edge, as close as possible to the server and basically at the border between the sever and the network. And when I mean services I mean three main categories of services. The networking services of course, there is the basic layer, two-layer, three stuff, plus the bonding, you know VAMlog and what is needed to connect a server to a network. But then there is the overlay, overlay like the xLAN or Geneva, very very important, basically to build a cloud infrastructure, and that are basically the network service. We can have others but that, sort of is the core of a network service. Some people want to run BGP layers, some people don't want to run BGP. There may be a VPN or kind of things like that but that is the core of a network service. Then of course, and we go back to the time we worked together, there are storage services. At that time, we were discussing mostly about fiber tunnel, now the BUS world is clearly NVMe, but it's not just the BUS world, it's really a new way of doing storage, and is very very interesting. So, NVMe kind of service are very important and NVMe as a version that is called NVMeOF, over fiber. Which is basically, sort of remote version of NVMe. And then the third, least but not last, most important category probably, is security. And when I say that security is very very important, you know, the fact that security is very important is clear to everybody in our day, and I think security has two main branches in terms of services. There is the classical firewall and micro-segmentation, in which you basically try to enforce the fact that only who is allowed to access something can access something. But you don't, at that point, care too much about the privacy of the data. Then there is the other branch that encryption, in which you are not trying to enforce to decide who can access or not access the resource, but you are basically caring about the privacy of the data, encrypting the data so that if it is hijacked, snooped or whatever, it cannot be decoded. >> Eccellent, so Silvano, absolutely the edge is a huge opportunity. When someone looks at the overall solution and say you're putting something in the edge, you know, they could just say, "This really looks like a NIC." You talked about some of the previous engagement we'd worked on, host bus adapters, smart NICs and the like. There were some things we could build in but there were limits that we had, so, what differentiates the Pensando solution from what we would traditionally think of as an adapter card in the past? >> Well, the Pensando solution has two main, multiple pieces but in term of hardware, has two main pieces, there is an ASIC that we call copper internally. That ASIC is not strictly related to be used only in an adapter form, you can deploy it also in other form factors in another part of the network in other embodiment, et cetera. And then there is a card, the card has a PCI-E interface and sit in a PCI-E slot. So yes, in that sense, somebody can can call it a NIC and since it's a pretty good NIC, somebody can call it a smart NIC. We don't really like that two terms, we prefer to call it DSC, domain specific card, but the real term that I like to use is domain specific hardware, and I like to use domain specific hardware because it's the same term that Hennessy and Patterson use in a beautiful piece of literature that is the Turing Award lecture. It's on the internet, it's public, I really ask everybody to go and try to find it and listen to that beautiful piece of literature, modern literature on computer architecture. The Turing Award lecture of Hennessy and Patterson. And they have introduced the concept of domain specific hardware, and they explain also the justification for why now is important to look at domain specific hardware. And the justification is basically in a nutshell and we can go more deep if you're interested, but in a nutshell is that the specing, that is the single tried performer's measurement of a CPU, is not growing fast at all, is only growing nowadays like a few point percent a year, maybe 4% per year. And with this slow grow, over specing performance of a core, you know the core need to be really used for user application, for customer application, and all what is known as Sentian can be moved to some domain specific hardware that can do that in a much better fashion, and by no mean I imply that the DSC is the best example of domain specific hardware. The best example of domain specific hardware is in front of all of us, and are GPUs. And not GPUs for graphic processing which are also important, but GPU used basically for artificial intelligence, machine learning inference. You know, that is a piece of hardware that has shown that something can be done with performance that the purpose processor can do. >> Yeah, it's interesting right. If you term back the clock 10 or 15 years ago, I used to be in arguments, and you say, "Do you build an offload, "or do you let it happen is software." And I was always like, "Oh, well Moore's law with mean that, "you know, the software solution will always win, "because if you bake it in hardware, it's too slow." It's a very different world today, you talk about how fast things speed up. From your customer standpoint though, often some of those architectural things are something that I've looked for my suppliers to take care of that. Speak to the use case, what does this all mean from a customer stand point, what are some of those early use cases that you're looking at? >> Well, as always, you get a bit surprised by the use cases, in the sense that you start to design a product thinking that some of the most cool thing will be the dominant use cases, and then you discover that something that you have never really fought have the most interesting use case. One that we have fought about since day one, but it's really becoming super interesting is telemetry. Basically, measuring everything in the network, and understanding what is happening in the network. I was speaking with a friend the other day, and the friend was asking me, "Oh, but we have SNMP for many many years, "which is the difference between SNMP and telemetry?" And the difference is to me, the real difference is in SNMP or in many of these management protocol, you involve a management plan, you involve a control plan, and then you go to read something that is in the data plan. But the process is so inefficient that you cannot really get a huge volume of data, and you cannot get it practically enough, with enough performance. Doing telemetry means thinking a data path, building a data path that is capable of not only measuring everything realtime, but also sending out that measurement without involving anything else, without involving the control path and the management path so that the measurement becomes really very efficient and the data that you stream out becomes really usable data, actionable data in realtime. So telemetry is clearly the first one, is important. One that you honestly, we had built but we weren't thinking this was going to have so much success is what we call Bidirectional ERSPAN. And basically, is just the capability of copying data. And sending data that the card see to a station. And that is very very useful for replacing what are called TAP network, Which is just network, but many customer put in parallel to the real network just to observe the real network and to be able to troubleshoot and diagnose problem in the real network. So, this two feature telemetry and ERSPAN that are basically troubleshooting feature are the two features that are beginning are getting more traction. >> You're talking about realtime things like telemetry. You know, the applications and the integrations that you need to deal with are so important, back in some of the previous start-ups that you done was getting ready for, say how do we optimize for virtualization, today you talk cloud-native architectures, streaming, very popular, very modular, often container based solutions and things change constantly. You look at some of these architectures, it's not a single thing that goes on for a long period of time, but it's lots of things that happen over shorter periods of time. So, what integrations do you need to do, and what architecturally, how do you build things to make them as you talk, future-proof for these kind of cloud architectures? >> Yeah, what I mentioned were just the two low hanging fruit, if you want the first two low hanging fruit of this architecture. But basically, the two that come immediately after and where there is a huge amount of radio are distributor's state for firewall, with micro-segmentation support. That is a huge topic in itself. So important nowadays that is absolutely fundamental to be able to build a cloud. That is very important, and the second one is wire rate encryption. There is so much demand for privacy, and so much demand to encrypt the data. Not only between data center but now also inside the data center. And when you look at a large bank for example. A large bank is no longer a single organization. A large bank is multiple organizations that are compartmentalized by law. That need to keep things separate by law, by regulation, by FCC regulation. And if you don't have encryption, and if you don't have distributed firewall, is really very difficult to achieve that. And then you know, there are other applications, we mentioned storage NVME, and is a very nice application, and then we have even more, if you go to look at load balance in between server, doing compression for storage and other possible applications. But I sort of lost your real question. >> So, just part of the pieces, when you look at integrations that Pensando needs to do, for maybe some of the applications that you would tie in to any of those that come to mind? >> Yeah, well for sure. It depends, I see two main branches again. One is the cloud provider, and one are the enterprise. In the cloud provider, basically this cloud provider have a huge management infrastructure that is already built and they want just the card to adapt to this, to be controllable by this huge management infrastructure. They already know which rule they want to send to the card, they already know which feature they want to enable on the card. They already have all that, they just want the card to provide the data plan performers for that particular feature. So they're going to build something particular that is specific for that particular cloud provider that adapt to that cloud provider architecture. We want the flexibility of having an API on the card that is like a rest API or a gRPC which they can easily program, monitor and control that card. When you look at the enterprise, the situation is different. Enterprise is looking to at two things. Two or three things. The first thing is a complete solution. They don't want to, they don't have the management infrastructure that they have built like a cloud provider. They want a complete solution that has the card and the management station and there's all what is required to make from day one, a working solution, which is absolutely correct in an enterprise environment. They also want integration, and integration is the tool that they already have. If you look at main enterprise, one of a dominant presence is clearly VMware virtualization in terms of ESX and vSphere and NSX. And so most of the customer are asking us to integrate with VMware, which is a very reasonable demand. And then of course, there are other player, not so much in the virtualization's space, but for example, in the data collections space, and the data analysis space, and for sure Pensando doesn't want to reinvent the wheel there, doesn't want to build a data collector or data analysis engine and whatever, there is a lot of work, and there are a lot out there, so integration with things like Splunk for example are kind of natural for Pensando. >> Eccellent, so wait, you talked about some of the places where Pensando doesn't need to reinvent the wheel, you talk through a lot of the different technology pieces. If I had to have you pull out one, what would you say is the biggest innovation that Pensando has built into the platform. >> Well, the biggest innovation is this P4 architecture. And the P4 architecture was a sort of gift that was given us in the sense that it was not invented for what we use it. P4 was basically invented to have programmable switches. The first big P4 company was clearly Barefoot that then was acquired by Intel and Barefoot built a programmable switch. But if you look at the reality of today, the network, most of the people want the network to be super easy. They don't want to program anything into the network. They want to program everything at the edge, they want to put all the intelligence and the programmability of the edge, so we borrowed the P4 architecture, which is fantastic programmable architecture and we implemented that yet. It's also easier because the bandwidth is clearly more limited at the edge compared to being in the core of a network. And that P4 architecture give us a huge advantage. If you, tomorrow come up with the Stuart Encapsulation Super Duper Technology, I can implement in the copper The Stuart, whatever it was called, Super Duper Encapsulation Technology, even when I design the ASIC I didn't know that encapsulation exists. Is the data plan programmability, is the capability to program the data plan and programming the data plan while maintaining wire-speed performance, which I think is the biggest benefit of Pensando. >> All right, well Silvano, thank you so much for sharing, your journey with Pensando so far, really interesting to dig into it and absolutely look forward to following progress as it goes. >> Stuart, it's been really a pleasure to talk with you, I hope to talk with you again in the near future. Thank you so much. >> All right, and thank you for watching theCUBE, I'm Stu Miniman, thanks for watching. (upbeat music)

from around the globe it's the cube with digital coverage of Red Hat summit 2020 brought to you by Red Hat welcome back to the cubes coverage of Red Hat summit 2020 of course this year it's rather than all coming to San Francisco we are talking to red hat executives their partners and their customers where they are around the globe happy to welcome back one of our cube alumni Lisa Spellman who's a corporate vice president and general manager of the Intel Xeon and memory group Lisa thanks so much for joining us and where are you joining us from well thank you for having me and I'm a little further north than where the conference was gonna be held so I'm in Portland Oregon right now excellent yeah we've had you know customers from around the globe as part of the cube coverage here and of course you're near the mothership of Intel so Lisa you know but let's start of course you know the Red Hat partnership you know I've been the Intel executives on the keynote stage for for many years so talk about to start us off the Intel Red Hat partnership as it stands today in 2020 yeah you know on the keynote stage for many years and then actually again this year so despite the virtual nature of the event that we're having we're trying to still show up together and demonstrate together to our customers and our developer community really give them a sense for all the work that we're doing across the important transformations that are happening in the industry so we view this partnership in this event as important ways for us to connect and make sure that we have a chance to really share where we're going next and gather feedback on where our customers and that developer community need us to go together because it is a you know rich long history of partnership of the combination of our Hardware work and the open-source software work that we do with Red Hat and we see that every year increasing in value as we expand to more workloads and more market segments that we can help with our technology yeah well Lisa you know we've seen on the cube for for many years Intel strong partnerships across the industry from the data centers from the cloud I think we're gonna talk a little bit about edge for this discussion too though edge and 5g III think about all the hard work that Intel does especially with its partnership you know you talked about and I think that the early days of Red Hat you know the operating system things that were done as virtualization rolled out there's accelerations that gone through so when it comes to edge in 5g obviously big mega waves that we spend a lot of talking about what's what's Intel's piece obviously we know Intel chips go everywhere but when it comes to kind of the engineering work that gets done what are some of the pieces that Intel spork yeah and that's a great example actually of what I what we are seeing is this expansion of areas of workloads and investment and opportunity that we face so as we move forward into 5g becoming not the theoretical next thing but actually the thing that is starting to be deployed and transformed you can see a bunch of underlying work that Intel and Red Hat have done together in order to make that a reality so you look at they move from a very proprietary ASIC based type of workload with a single function running on it and what we've done is drive to have the virtualization capabilities that took over and provided so much value in the cloud data center also apply to the 5g network so the move to network function virtualization and software-defined networking and a lot of value being derived from the opportunity to run that on open source standard and have that open source community really come together to make it easier and faster to deploy those technologies and also to get good SLA s and quality of service while you're driving down your overall total cost of ownership so we've spent years working on that together in the 5g space and network space in general and now it's really starting to take off then that is very well connected to the edge so if you think about the edge as this point of content creation of where the actions happening and you start to think through how much of the compute or the value can I get out at the edge without everything having to go all the way back to the data center you start to again see how those open standards in very complex environments and help people manage their total cost of ownership and the complexity all right Lisa so when you're talking about edge solutions when I've been talking to Red Hat where their first deployments have really been talking to the service providers really I've seen it as an extension of what you were talking about network functions virtualization you know everybody talks about edges there's a lot of different edges out there the service providers being the first place we see things but you know all the way out even to the consumer edge and the device edge where Intel may or may not have you know some some devices there so help us understand you know where where you're sitting and where should we be looking as these technologies work you know it's a it's a great point we see the edge being developed by multiple types of organizations so yes the service providers are obviously there in so much as they already even own the location points out there if you think of all the myriad of poles with the the base stations and everything that's out there that's a tremendous asset to capitalize on you also see our cloud service provider customers moving towards the edge as well as they think of new developer services and capabilities and of course you see the enterprise edge coming in if you think of factory type of utilization methodologies or in manufacturing all of those are very enterprise based and are really focused on not that consumer edge but on the b2b edge or the you know the infrastructure edge is what you might think of it as but they're working through how do they add efficiency capability automation all into their existing work but making it better so at Intel the way that we look at that is it's all opportunities to provide the right foundation for that so when we look at the silicon products that we develop we gather requirements from that entire landscape and then we work through our silicon portfolio you know we have our portfolio really focused on the movement the storage and the processing of data and we try to look at that in a very holistic way and decide where the capability will best serve that workload so you do have a choice at times whether some new feature or capability goes into the CPU or the Zeon engine or you could think about whether that would be better served by being added into a smart egg type of capability and so those are just small examples of how we look at the entirety of the data flow in the edge and at what the use case is and then we utilize that to inform how we improve the silicon and where we add feature well Lisa as you were going through this it makes me also think about one of the other big mega waves out there artificial intelligence so lots of discussion as you were saying what goes where how we think about it cloud edge devices so how does AI intersect with this whole discussion of edge that we were just having yeah and you're probably gonna have to cut me off because I could go on for a long time on on this one but AI is such an exciting at capability that is coming through everywhere literally from the edge through the core network into the cloud and you see it infiltrating every single workload across the enterprise across cloud service providers across the network service providers so it is truly on its way to being completely pervasive and so again that presents the same opportunity for us so if you look at your silicon portfolio you need to be able to address artificial intelligence all the way from the edge to the cloud and that can mean adding silicon capabilities that can handle milliwatts like ruggedized super low power super long life you don't literally out at the edge and then all the way back to the data center where you're going for a much higher power at a higher capability for training of the models so we have built out a portfolio that addresses all of that and one of the interesting things about the edges people always think of it as a low compute area so they think of it as data collection but more and more of that data collection is also having a great benefit from being able to do an amount of compute and inference out at the edge so we see a tremendous amount of actual Zeon product being deployed out at the edge because of the need to actually deliver quite high-powered compute right there and that's improving customer experiences and it's changing use cases through again healthcare manufacturing automotive you see it in all the major fast mover edge industries yeah now we're really good points they make their Lisa we all got used to you know limitless compute in the cloud and therefore you know let's put everything there but of course we understand there's this little thing called the speed of light that makes it that much of the information that is collected at the edge can't go beyond it you know I saw a great presentation actually last year talking about the geosynchronous satellites they collect so much information and you know you can't just beam it back and forth so I better have some compute there so you know we've known for a long time that the challenge of you know of our day has been distributed architectures and edge just you know changes that you know the landscape and the surface area that we need the touch so much more when I think about all those areas obviously security is an area that comes up so how does Intel and its partners make sure that no matter where my data is and you talk about the various memory that you know security is still considered at each aspect of the environment oh it's a huge focus because if you think of people and phrases they used to say like oh we got to have the fat pipe or the dumb pipe to get you know data back and or there is no such thing as a dumb pipe anymore everything is smart the entire way through the lifecycle and so with that smartness you need to have security embedded from the get-go into that work flow and what people need to understand is they undergo their edge deployments and start that work is that your obligation for the security of that data begins the you collect that data it doesn't start when it's back to the cloud or back in the data center so you own it and need to be on it from the beginning so we work across our Silicon portfolio and then our software ecosystem to think through it in terms of that entire pipeline of the data movement and making sure that there's not breakdowns in each of the handoff chain it's a really complex problem and it is not one that Intel is able to solve alone nor any individual silicon or software vendor along the way and I will say that some of the security work over the past couple years has led to a bringing together of the industry to address problems together whether they be on any other given day a friend or a foe when it comes to security I feel like I've seen just an amazing increase over the past two two and a half years on the collaboration to solve these problems together and ultimately I think that leads to a better experience for our users and for our customers so we are investing in it not just at the new features from the silicon perspective but in also understanding newer and more advanced threat or attack surfaces that can happen inside of the silicon or the software component all right so Lisa final question I have for you want to circle back to where we started it's Red Hat summit this week-long partnerships as I mentioned we see Intel it all the cloud shows you partner with all the hardware software providers and the like so big message from Red Hat is the open hybrid cloud to talk about how that fits in with everything that Intel is doing it's an area of really strong interconnection between us and Red Hat because we have a vision of that open hybrid cloud that is very well aligned and the part about it is that it is rooted not just in here's my feature here's my feature from either one of us it's rooted in what our customers need and what we see our enterprise customers driving towards that desire to utilize the cloud to in prove their capabilities and services but also maintain that capability inside their own house as well so that they have really viable work load transformation they have opportunities for their total cost of ownership and can fundamentally use technology to drive their business forward all right well Lisa Spellman thank you so much for all the update from Intel and definitely look forward to seeing the breakouts the keynotes and the like yes me too all right lots more coverage here from the cube redhead summit 2020 I'm Stu minimun and thanks as always for watching [Music]

(energetic funk music) >> Hi, I'm Stu Miniman, and welcome to a special CUBE Conversation. I'm coming to you remote from our Boston-area studio in Marlborough, Massachusetts, and really happy to welcome to the program, actually, from down the road from where I'm sitting, but testing our coast-to-coast live-to-air remote capabilities, of course, everybody is working from home or things like that, Rob Strechay, CUBE alumni and friend of the program. Rob, it's great to see you. >> Yeah, thanks for having me on. Really glad to help you guys out and get on here and talk about what's goin' on, 'cause this remote thing is definitely going to be the wave for the next month or two, at least. >> Yeah, so, Rob, you spend a lot of your time talking to companies about strategic planning and the first thing for you is, in the industry, sometimes we talk about these black swan events, the things that, you know, we had our plans in place, a lot of companies either had their 2020 sales kickoffs or were getting ready for them, and all of a sudden, basically, everything that you were planning for, let's stop and re-evaluate, because coronavirus stuff is hitting, economic conditions globally are being impacted. What's the first thing that you tell people when you're advising when something completely unexpected and far-reaching, that we might not have full information on, hits? >> Yeah, I think there is, it's a great way to target and say, "Okay, where can I trim the fat, "but at the same time, where do I not "want to over-rotate or panic?" And I think that's a big piece of it, is that you don't want to go and panic too much and say, "Hey, we have to throw everything out." I think there's an opportunity, and there's definitely opportunities, but if you're looking at the different verticals that are being hit by this, if you look at things like healthcare, we have HIMSS that's supposed to be going on this week that was canceled, and all of the medical professionals and IT professionals at those hospitals are pretty much on lockdown. So if you're selling into that vertical, maybe then it is time to panic a little bit, or find another vertical, or understand how you go cross-vertical, in a way. So you have to evaluate what's going on, but don't panic, don't over-react to these types of events. >> So, Rob, you've worked with a lot of companies that provide disaster recovery. In the IT space, it's, "How do I deal with a failure?" One of the things that I know a lot of companies look at is when things go wrong, when there is some natural disaster or, like what we're having today, is, "Do I jump in and say, 'Hey, we can offer things'?" You see a lot of the companies that are providing remote services, take your Google, Microsoft, Zooms, are, "Hey, here's a free tier that you're able to use," but how much do you jump on this as a marketer, or how much do you just say, "Hey, we're here for you, "if there's anything we can do to help there," but you don't want to be seen as ambulance chasing or trying to profit off of some widespread disasters? >> Yeah, I think that's exactly it. The ambulance chasing part, you have to use a little common sense when you're going into these, and I think that goes a long way. You don't want to be seen as ambulance chasing, and, for instance, some of the small- to medium-size companies I've been watching in the tech and talking to some of their teams, they're putting out information, saying, "Hey, we're still up." If they're shipping hardware, "Hey, we're "still within our lead times. "We've built out enough capacity prior to this "and we'll be able to ship within 14 days of an order." So, reassuring their customers that they can get the kit out to them. At the same time, they're saying, "Hey, here is "what we're seeing from our customers, "that, if you're having trouble even once we do "ship it, you don't have somebody on site "to take it in, so we can offer services "to help you with that. So, helping them do staff augmentation or do things in a different manner, I see that as not the ambulance chasing aspect of it. I think if you're marketing into it, it's a little tough when you say, "Hey, well, "I'm the best remote desktop thing going, "and everybody can work from home," and trying to say, "And by the way, you have to buy into this "particular tier to get your entire company going." I think, again, you can look at, how do you share, maybe, the pain or share a loss leader going in, and look to build that. If you have confidence in your product, you'll get them on board, and they'll continue to do this, and they'll continue to move forward with it, because, like you said, I don't think anybody was necessarily prepared for a quarantine of an entire country, like Italy, or something of that nature. >> Yeah, the remote work is definitely a very hot topic. That doesn't necessarily mean that today is the day to start the 5,000-person virtual desktop project. >> Exactly. >> Because we know how long these things have a lead time. Rob, I want to ask you, actually, when you talk to customers, you've spent a lot of time in your career talking to customers, one of the buzzwords we've had in the industry is digital transformation. One of the big outcomes of digital transformation is to be able to react and move fast and be more agile. So I just wanted to get your take on what you're hearing from customers, where, of course, it's a spectrum, but what they're doing, and is this something that they should they should put on hold, is it something is going to help them prepare for things that they weren't necessarily thinking about? >> I think it's the latter, right? I think you're really, I would push in on digital transformation at this point in time, because you're not going to know what's going to break until you get into these situations, and I would say that we've seen a couple in the financial industry as we've gone through the volatility in the markets where they've pushed in on digital transformation, or there are some startups that have really pushed in on doing things in a new way from the traditional financial services companies, and they've found out, hey, stuff is breaking, and they're going to pay some fines to the SEC. And some of the traditional ones that have their digital transformation projects, they've bumped into this same exact thing, where they were having outages. So it's not just the new startups, it's some of the older, more established players that are finding out that, hey, you don't know until you get into that war, you don't know until you engage that enemy, per se, as that black swan event, what's going to break. So push in, I would almost double down on it, and say, "Listen, this is going to be "the way that helps us smooth these out. "As we can distribute things out, "we don't have, necessarily, one data center "where everybody has to go to, "and now that entire county is locked down, "or there's the National Guard surrounding it "and you can't get to it." >> Yeah, Rob, I'm wondering if you have any commentary on just the general dispersion of the workforce. You've worked for a variety of sizes of company, you've been a remote worker, you've worked for companies where you're far separated from the headquarters. Any kind of tips or recommendations from your background that you'd have for people and today? >> Yeah, I think, again, for the people who haven't done it before, it is an adjustment. You actually find that you work more hours being at home than you would in a natural, an office. I think that also, how do you keep your sanity when you're really distant from people, and how do you keep that connection and that culture? I definitely think that these solutions, like Teams and Slack and what have you, and Zoom and Webex, have come a long way to help connect people, and I think it's really leveraging those tools around you to have that connection. And I think that we've seen some of the announcements of people about putting out guidelines of, "Hey, here's how we have a remote workforce." And I've seen, actually, more, and it's been a trend out on the West Coast for a little while, where their engineering teams, the dev teams, are very diverse and very disparate because you can't find everybody in the Valley anymore. So how, maybe some of the people are in Washington, maybe they're in Oregon, and California, you have some on the East Coast, or even over in the Ukraine, for instance. Trying to create events to bring everybody together, doing more outreach as an executive to the entire company, becomes critical because sharing of that information is what people want to understand. They want to feel connected back into what's going on at what they perceive as corporate. >> Yeah, so some great commentary there, Rob. Yeah, absolutely, we've seen plenty of the software companies out there that have not only tooling, but best practices on how to do this, as well as, through social media, I've seen a lot of blog posts, things on Twitter and the like, yeah, and some things that you don't think about as much. I'm not regularly a remote worker, but, right, make sure you take time to eat, make sure you've blocked out the hours that you're going to have meals with family. And something I always noticed is, "Oh my gosh, I might spend an entire day "like this on conference calls (Rob laughs) "or sitting and working," as opposed to, if you're in the office, you get up, you walk around, you talk to some people, and it's like, you need to make sure you stretch (laughs) a little bit-- >> Yeah, absolutely. >> Because otherwise, you can end up sitting for eight hours, and that's really not good. >> Rob: (laughs) Yeah, definitely need those mental breaks. >> Yeah, all right, Rob, I want to give you the final word. What's, let's kind of put beyond some of the things that are right in front of us right now, give you kind of an open technology space. What's interesting you out in the market here in the early parts of 2020? >> Yeah, I think there's a lot of very interesting things going on with AI, and I think people are finally starting to get past the hype of "AI this, AI that" and trying to look at what the use cases are behind AI, and how that's really going to help reinvent some of the technology that we have used. I kind of always say that everything old is new again. But I think there's going to be some great new tech coming out that will help enable these types of digital transformations, and I see a lot of new companies approaching AI and not just saying, "Hey, I'm an AI company," but, "Here's the use case that I'm really fulfilling." And I think that's showing some of the maturity, I think that's going to help as this artificial intelligence or machine learning really starts to push in and help people become more operationally efficient, so maybe then we can start to realize some more of cloud, and more of this, "Hey, I had this data center, "now I am moving everything to the cloud," versus, "Well, I'm going to move it, "but I'm going to lift and shift, "and I still have the operational legacy." >> Yeah, absolutely. If I can do a little compare and contrast, back in the big-data world, everybody used to always complain that we had the best minds in our business working on how we could optimize people clicking on an ad, (Rob laughs) and when I look at AI, there's a lot of tech for good out there, there's amazing outcomes, there's things that it can really be transformational. All right, Rob, I know that you've been doing a little bit more writing, you're posting on LinkedIn some of your strategy. If people want to learn more and keep an eye on what you're doing, what would you recommend? >> Yeah, I would say go onto my Twitter feed, @RealStrech, and-or go to my LinkedIn. Feel free to connect with me there. It's Rob Strechay, you can find me there pretty easily. There's not many Strechays in the world. So feel free to connect with me and view my articles there, and really, this has been a lot of fun. >> All right, well, always good to get two boys from Parsippany, New Jersey, to get together, talk about technology, and share it with the community. Rob, great to catch up with you. >> Thanks, Stu, take care. >> All right, I'm Stu Miniman, everybody, and thank you so much for watching theCUBE. (energetic funk music)

>>Live from San Diego, California It's the Q Covering Koopa and Cloud Native Cot Brought to you by Red Cloud. Native Computing Pounding and its ecosystem >>Welcome back, toe Gorgeous. SAN Diego, California This is Q Khan Cloud Native Khan. 29 years. I'm still minimum. My co host is John Troyer, and this is the end of three days water wall coverage over 12,000 and 10 d Having a welcome to the program. Cassie, Who's the executive director at the national headquarters for v. American Red Cross. Matt. Thank you, American Red Cross. And thank you so much for joining us. >>Yeah. Thanks for having me. Uh, it's been a great conference so far. Uh, you know, we're here to share our story where as an end user on our journey with Cloud native with kubernetes Andi how that helps Red Cross do what we do, which is help people in need a cz best we can every day. >>Eso no matter what industry I talked to, everybody's dealing with change. There's always more things happening. American Red Cross. I mean, you know, it feels like I hear American Red Cross mentioned Maur a cz Time goes on because you know everything from, you know, things related to climate through, you know, global events and the like. So maybe before we get into some of the tech, just give us, you know, you know your role there and how kind of the changing world impact your organization. >>Sure. So my role is to support a few different business units. One is biomedical marketing. We try to recruit blood donors, too. Give blood at Red Cross Blood Dot or GE and other channels. That's obviously a significant part of what we d'oh were major player in the blood supply market in the US we provide service is to the armed forces, you know, in that regard as well. So that's part of it. Part of it is I work with humanitarian service is group as well to recruit financial donors on recruit volunteers. That's primarily through Red Cross. That or GE a T least as faras my group goes on, then corporate brand marketing and chapter related marketing and communications. So all that happens through Red Cross that Oregon Red Cross blood dot organ some related platforms on those our flagship brand products. >>Okay, And what led to the American Red Cross being part of this cloud. Native computing, Yeah, system. >>Our journey is a lot like, you know, a lot of other folks. We had a very, you know, monolithic type of architecture. We had all of these different business units with the different priorities, different timelines, different needs wrapped up into one big monster of a platform that, you know, kind of bundled up risk for everybody in this one platform. And, uh, you know, we'd always have collisions of priorities, mostly not to mention the resource issues of who's gonna work, you know, on what? At what time. And so a few years ago, we started talking about breaking that down. And, um, we've been lucky to have some technical leaders that are very aware of and welcoming to new cloud native technologies. We decided at that time to pursue, you know, a cloud native architecture. And what we have today in a few years later, is two years worth of being in production with a platform that runs on Amazon. We take advantage of a lot of the native orchestration tools there for running our clusters. And we've been able to service, you know, those different needs in a much more nimble way. We can release something for a Red Cross blood dot or without risking much on the financial donation side or on the volunteer recruitment side. And likewise, you know, for those other groups, we can kind of separate out the risks for each of those groups. And that's that's been a great, great benefit. >>You've been on the the vendor side. The for profit side is I t very different at the non profit. If you're looking, people are looking down, you get >>higher. Yeah, You know, I have been doing it a long time, a lot of different perspectives. But I think you know what I tried to do. And I would. I think I've seen work best is when I t is not the ticket taker, you know, integrated with the business. I'm very fortunate to have some business partners at Red Cross that collaborate. You know, every day we're having conversations every day. We have some people on our team that feel as though they're accountable for business outcomes, not just, you know, doing cool technology things, you know, For example, you know, multiyear evolution of process related to being more agile. We've got so much more integration and communication with business teams have gone from, you know, something like one release every five months now due to a weak, you know, and I think we could do more. It's just we don't have the need to do more. Um, and that's a huge, huge, big lift. You know, there's a lot of conversations that need to happen. Should make that work. >>Yeah, it's all a journey, right? We're all we're all improved. Continuous improvement, but so follow up there. So as a 90 leader for a very large organization, you know, they're one of the things people are saying this year. Wow. The conference is big. So many new technologies. So many new company somebody open source projects. You know, you're in the middle of this journey. You can't screw it up, right? That would be disastrous. So how do you How do you How did you and your organization look at new technologies and pick out which do technologies to try and incorporate them into your stack and your portfolio? >>Right. So we wanted to be a cloud native. We wanted a do, um, you know, focus on projects that where we knew there were skills in the marketplace, uh, that we could acquire at our price point. You know, we try to be good stewards of donor dollars at the end of the day, you know, all the money we have comes from folks like you and you guys who support Red Cross, you know, and thank you very much for all that generous support. And so we try to spend that money, uh, you know, very carefully. Way have some people who are, uh, you know, employees on our team made about 25 or so. But one of the great things we've been able to do with some of these technologies now is we have a program called Code for Good. It's a volunteer work force where we're here recruiting volunteers with the skill set that you know, they have a day job, but they have an interest in supporting Red Cross. Uh, maybe not financially. Maybe not with their blood, but they can give us some time on their skills, and we run it like an open source project. We set out a road map of features for six months or so. We have planning sessions, we say. Listen, you know if you can sign up for a feature that because you have two hours this week to work. Great. You have six hours. Great. You just had a baby, and you're not available for three months. Fine. You know, we we wanna have a, you know, a bench of people that can self select based on their time commitment, what to work on. And somehow it's been been working Great. You know, we started this in June. We have about 30 volunteers now on. We've already delivered an app for slack. That is kind of a workplace app where you can, you know, if your organization works with us, you can donate right from slack. You can give a schedule of blood donation, appointment, do things like that. >>I love that model. It's something that, you know we've looked at years ago. That kind of micro participation, if you will. You know, You think it's like, you know, Wikipedia wouldn't have been built if it wasn't for everybody. Just spending a little bit of time on it. Uh, I'm curious. Does something like participating with you know, this ecosystem I have generalized tools that people know and can plug in with, as opposed to, you know, having to know your direct stack Is that helpful To kind of be able to recruit people into that environment? What? What are the kind of most needed skills on dhe usages that you're recruiting? >>It is. You are learning. Curve at this point is much smaller than it was on our previous platform Because of the fact that we're using technologies people are familiar with, um, you know, things like Docker we use a lot. We just started evaluating Prometheus, another C N C F project for monitoring some non proud systems. Hopefully that'll graduate into production systems. So from a technology standpoint, yes, yes, we find that, you know, the people we talked with can walk in and be productive sooner. You know, there's still the Red Cross specific things they need to know about how we do business. But, um, you know, at least at this point, is that and not some proprietary system that they also have to learn >>any learnings that you've had participating in the c m. D. F. With the rollout of the technologies that you share with your peers, >>you know, I love the sea. NCF is very maintainer driven, You know, uh, and and user driven. I heard today at one of the analyst panels. I did. I think maybe 30% of people here are end users. >>That's a pretty >>large number. Um, you know, the fact that we can come here and learn about technologies meet people, meat vendors meet some of the people contributing code. Um, it's a lot different than you know, maybe some some summit sponsored by a for profit vendor that wants to, uh, you know, generate leads and sell you things. It feels much more community driven here and open to lots of different perspectives. >>So now what you looking forward to in the next few years? Both in terms of your stack and maybe coming back >>to Cuba? Yeah, way. It's funny. We've started to see other parts of Red Cross come to us toe, learn about kubernetes because the vendors they work with are mentioning these things. And and we have been early adopters, as far as you know, where across goes our group. Um and I think it's great if we can expand usage of, um, cloud native technologies to other parts of the organization on really get some economies of scale. So that's part of what we're trying to do is kind of internal, uh, consulting knowledge sharing collaboration on then, as far as what we're doing on our team way. Just really want to focus on. We're on a stable point in the platform, and then we want to do some things around monitoring and alerting that. Reduce those incident outages, too. Nothing. Hopefully, um, and work on that. >>You're working on a few projects that are that are being worked on here for That >>s So you have this Prometheus project. Like I said, we're piloting that, uh, you know, I would say in four or five months time, we'll know if that's going to be something we can, you know, put some more investment into >>All right, that want to give you the final word. Red cross dot org's code for good. I believe. The web. >>Yes, yes. >>What else? >>Your code for the number four. Good on. You know, if you're interested in volunteering, we need technical skills. We need team leadership skills, product owner skills, eh? So it's not just about you know, developing features and ops engineers as well. So thanks for your time. I want to say hi to my daughter, Peyton. It's late on the East Coast, so go to bed now, but thanks, folks. >>All right. What? Well, Matt, and actually, that is the final word for our day one of coverage for John Troyer. I'm stupid. And be sure to join us tomorrow. We've got two more days water wall coverage here. Lots of great speakers. Really appreciate. We've got the end users on. And, Matt, thank you so much. And, you know, great mission. The code for good. We definitely hope that the community here, you know, reaches out in connection Participates s Oh, that's it for today. Fixes all for watching.

>> Announcer: Live from Orlando, Florida it's theCUBE! Covering Microsoft Ignite, brought to you by Cohesity. >> Hello, and happy taco Tuesday CUBE viewers! You are watching theCUBE's live coverage of Microsoft's Ignite here in Orlando, Florida. I'm your host Rebecca Knight, along with Stu Miniman. We're joined by Scott Hanselman, he is the partner program manager at Microsoft. Thank you so much for coming on theCUBE! >> Absolutely, my pleasure! >> Rebecca: And happy taco Tuesday to you! Will code for tacos. >> Will code for tacos. >> I'm digging it, I'm digging it >> I'm a very inexpensive coder. >> So you are the partner program manager, but you're really the people's programmer at Microsoft. Satya Nadella up on the main stage yesterday, talking about programming for everyone, empowering ordinary citizen developers, and you yourself were on the main stage this morning, "App Development for All", why is this such a priority for Microsoft at this point in time? >> Well there's the priority for Microsoft, and then I'll also speak selfishly as a priority for me, because when we talk about inclusion, what does that really mean? Well it is the opposite of exclusion. So when we mean inclusion, we need to mean everyone, we need to include everyone. So what can we do to make technology, to make programming possible, to make everyone enabled, whether that be something like drag and drop, and PowerApps, and the Power platform, all the way down to doing things like we did in the keynote this morning with C# on a tiny micro-controller, and the entire spectrum in between, whether it be citizen programmers in Excel using Power BI to go and do machine learning, or the silly things that we did in the keynote with rock, paper scissors that we might be able to talk about. All of that means including everyone and if the site isn't accessible, if Visual Studio as a tool isn't accessible, if you're training your AI in a non-ethical way, you are consciously excluding people. So back to what Satya thinks is why can't everyone do this? SatyaSacha thinks is why can't everyone do this? Why are we as programmers having any gate keeping, or you know, "You can't do that you're not a programmer, "you know, I'm a programmer, you can't have that." >> So what does the future look like, >> Rebecca: So what does the future look like, if everyone knows how to do it? I mean, do some imagining, visioning right now about if everyone does know how to do this, or at least can learn the building blocks for it, what does technology look like? >> Well hopefully it will be ethical, and it'll be democratized so that everyone can do it. I think that the things that are interesting, or innovative today will become commoditized tomorrow, like, something as simple as a webcam detecting your face, and putting a square around it and then you move around, and the square, we were like, "Oh my God, that was amazing!" And now it's just a library that you can download. What is amazing and interesting today, like AR and VR, where it's like, "Oh wow, I've never seen augmented reality work like that!" My eight-year-old will be able to do it in five years, and they'll be older than eight. >> So Scott, one of the big takeaways I had from the app dev keynote that you did this morning was in the past it was trying to get everybody on the same page, let's move them to our stack, let's move them to our cloud, let's move them on this programming language, and you really talked about how the example of Chipotle is different parts of the organization will write in a different language, and there needs to be, it's almost, you know, that service bus that you have between all of these environments, because we've spent, a lot of us, I know in my career I've spent decades trying to help break down those silos, and get everybody to work together, but we're never going to have everybody doing the same jobs, so we need to meet them where they are, they need to allow them to use the tools, the languages, the platforms that they want, but they need to all be able to work together, and this is not the Microsoft that I grew up with that is now an enabler of that environment. The word we keep coming back to is trust at the keynote. I know there's some awesome, cool new stuff about .net which is a piece of it, but it's all of the things together. >> Right, you know I was teaching a class at Mesa Community College down in San Diego a couple of days ago and they were trying, they were all people who wanted jobs, just community college people, I went to community college and it's like, I just want to know how to get a job, what is the thing that I can do? What language should I learn? And that's a tough question. They wonder, do I learn Java, do I learn C#? And someone had a really funny analogy, and I'll share it with you. They said, well you know English is the language, right? Why don't the other languages just give up? They said, you know, Finland, they're not going to win, right? Their language didn't win, so they should just give up, and they should all speak English, and I said, What an awful thing! They like their language! I'm not going to go to people who do Haskell, or Rust, or Scala, or F#, and say, you should give up! You're not going to win because C won, or Java won, or C# won. So instead, why don't we focus on standards where we can inter-operate, where we can accept that the reality is a hybrid cloud things like Azure Arc that allows us to connect multiple clouds, multi-vendor clouds together. That is all encompassing the concept of inclusion, including everyone means including every language, and as many standards as you can. So it might sound a little bit like a Tower of Babel, but we do have standards and the standards are HTTP, REST, JSON, JavaScript. It may not be the web we deserve, but it's the web that we have, so we'll use those building block technologies, and then let people do their own thing. >> So speaking of the keynote this morning, one of the cool things you were doing was talking about the rock, paper, scissors game, and how it's expanding. Tell our viewers a little bit more about the new elements to rock, paper, scissors. >> So folks named Sam Kass, a gentleman named Sam Kass many, many years ago on the internet, when the internet was much simpler web pages, created a game called Rock, Paper, Scissors, Lizard, Spock, and a lot of people will know that from a popular TV show on CBS, and they'll give credit to that show, in fact it was Sam Kass and Karen Bryla who created that, and we sent them a note and said, "Hey can I write a game about this?" And we basically built a Rock, Paper, Scissors, Lizard, Spock game in the cloud containerized at scale with multiple languages, and then we also put it on a tiny device, and what's fun about the game from a complexity perspective is that rock, paper, scissors is easy. There's only three rules, right? Paper covers rock, which makes no sense, but when you have five, it's hard! Spock shoots the Rock with his phaser, and then the lizard poisons Spock, and the paper disproves, and it gets really hard and complicated, but it's also super fun and nerdy. So we went and created a containerized app where we had all different bots, we had node, Python, Java, C#, and PHP, and then you can say, I'm going to pick Spock and .net, or node and paper, and have them fight, and then we added in some AI, and some machine learning, and some custom vision such that if you sign in with Twitter in this game, it will learn your patterns, and try to defeat you using your patterns and then, clicking on your choices and fun, snd then, clicking on your choices and fun, because we all want to go, "Rock, Paper, Scissors shoot!" So we made a custom vision model that would go, and detect your hand or whatever that is saying, this is Spock and then it would select it and play the game. So it was just great fun, and it was a lot more fun than a lot of the corporate demos that you see these days. >> All right Scott, you're doing a lot of different things at the show here. We said there's just a barrage of different announcements that were made. Love if you could share some of the things that might have flown under the radar. You know, Arc, everyone's talking about, but some cool things or things that you're geeking out on that you'd want to share with others? >> Two of the things that I'm most excited, one is an announcement that's specific to Ignite, and one's a community thing, the announcement is that .net Core 3.1 is coming. .net Core 3 has been a long time coming as we have began to mature, and create a cross platform open source .net runtime, but .net Core 3.1 LTS Long Term Support means that that's a version of .net core that you can put on a system for three years and be supported. Because a lot of people are saying, "All this open source is moving so fast! "I just upgraded to this, "and I don't want to upgrade to that". LTS releases are going to happen every November in the odd numbered years. So that means 2019, 2021, 2023, there's going to be a version of .net you can count on for three years, and then if you want to follow that train, the safe train, you can do that. In the even numbered years we're going to come out with a version of .net that will push the envelope, maybe introduce a new version of C#, it'll do something interesting and new, then we tighten the screws and then the following year that becomes a long term support version of .net. >> A question for you on that. One of the challenges I hear from customers is, when you talk about hybrid cloud, they're starting to get pulled apart a little bit, because in the public cloud, if I'm running Azure, I'm always on the latest version, but in my data center, often as you said, I want longer term support, I'm not ready to be able to take that CICD push all of the time, so it feels like I live, maybe call it bimodal if you want, but I'm being pulled with the am I always on the latest, getting the latest security, and it's all tested by them? Or am I on my own there? How do you help customers with that, when Microsoft's developing things, how do you live in both of those worlds or pull them together? >> Well, we're really just working on this idea of side-by-side, whether it be different versions of Visual Studio that are side-by-side, the stable one that your company is paying for, and then the preview version that you can go have side-by-side, or whether you could have .net Core 3, 3.1, or the next version, a preview version, and a safe version side-by-side. We want to enable people to experiment without fear of us messing up their machine, which is really, really important. >> One of the other things you were talking about is a cool community announcement. Can you tell us a little bit more about that? >> So this is a really cool product from a very, very small company out of Oregon, from a company called Wilderness Labs, and Wilderness Labs makes a micro-controller, not a micro-processor, not a raspberry pie, it doesn't run Linux, what it runs is .net, so we're actually playing Rock, Paper, Scissors, Lizard, Spock on this device. We've wired it all up, this is a screen from our friends at Adafruit, and I can write .net, so somehow if someone is working at, I don't know, the IT department at Little Debbie Snack Cakes, and they're making WinForms applications, they're suddenly now an IOT developer, 'cause they can go and write C# code, and control a device like this. And when you have a micro-controller, this will run for weeks on a battery, not hours. You go and 3D print a case, make this really tiny, it could become a sensor, it could become an IOT device, or one of thousands of devices that could check crops, check humidity, moisture wetness, whatever you want, and we're going to enable all kinds of things. This is just a commodity device here, this screen, it's not special. The actual device, this is the development version, size of my finger, it could be even smaller if we wanted to make it that way, and these are our friends at Wilderness Labs. and they had a successful Kickstarter, and I just wanted to give them a shout out, and I just wanted to give them a shoutout, I don't have any relationship with them, I just think they're great. >> Very cool, very cool. So you are a busy guy, and as Stu said, you're in a lot of different things within Microsoft, and yet you still have time to teach at community college. I'm interested in your perspective of why you do that? Why do you think it's so important to democratize learning about how to do this stuff? >> I am very fortunate and I think that we people, who have achieved some amount of success in our space, need to recognize that luck played a factor in that. That privilege played a factor in that. But, why can't we be the luck for somebody else, the luck can be as simple as a warm introduction. I believe very strongly in what I call the transitive value of friendship, so if we're friends, and you're friends, then the hypotenuse can be friends as well. A warm intro, a LinkedIn, a note that like, "Hey, I met this person, you should talk to them!" Non-transactional networking is really important. So I can go to a community college, and talk to a person that maybe wanted to quit, and give a speech and give them, I don't know, a week, three months, six months, more whatever, chutzpah, moxie, something that will keep them to finish their degree and then succeed, then I'm going to put good karma out into the world. >> Paying it forward. >> Exactly. >> So Scott, you mentioned that when people ask for advice, it's not about what language they do, is to, you know, is to,q you know, we talk in general about intellectual curiosity of course is good, being part of a community is a great way to participate, and Microsoft has a phenomenal one, any other tips you'd give for our listeners out there today? >> The fundamentals will never go out of style, and rather than thinking about learning how to code, why not think about learning how to think, and learning about systems thinking. One of my friends, Kishau Rogers, talked about systems thinking, I've hade her on my podcast a number of times, and we were giving a presentation at Black Girls Code, and I was talking to a fifteen-year-old young woman, and we were giving a presentation. It was clear that her mom wanted her to be there, and she's like, "Why are we here?" And I said, "All right, let's talk about programming "everybody, we're talking about programming. "My toaster is broken and the toast is not working. "What do you think is wrong?" Big, long, awkward pause and someone says, "Well is the power on?" I was like, "Well, I plugged a light in, "and nothing came on" and they were like, "Well is the fuse blown?" and then one little girl said "Well did the neighbors have power?", And I said, "You're debugging, we are debugging right?" This is the thing, you're a systems thinker, I don't know what's going on with the computer when my dad calls, I'm just figuring it out like, "Oh, I'm so happy, you work for Microsoft, "you're able to figure it out." >> Rebecca: He has his own IT guy now in you! >> Yeah, I don't know, I unplug the router, right? But that ability to think about things in the context of a larger system. I want toast, power is out in the neighborhood, drawing that line, that makes you a programmer, the language is secondary. >> Finally, the YouTube videos. Tell our viewers a little bit about those. you can go to D-O-T.net, so dot.net, the word dot, you can go to d-o-t.net, so dot.net, the word dot, slash videos and we went, and we made a 100 YouTube videos on everything from C# 101, .net, all the way up to database access, and putting things in the cloud. A very gentle, "Mr. Rodgers' Neighborhood" on-ramp. A lot of things, if you've ever seen that cartoon that says, "Want to draw an owl? "Well draw two circles, "and then draw the rest of the fricking owl." A lot of tutorials feel like that, and we don't want to do that, you know. We've got to have an on-ramp before we get on the freeway. So we've made those at dot.net/videos. >> Excellent, well that's a great plug! Thank you so much for coming on the show, Scott. >> Absolutely my pleasure! >> I'm Rebecca Knight, for Stu Miniman., stay tuned for more of theCUBE's live coverage of Microsoft Ignite. (upbeat music)

>>live from Seattle, Washington. It's the key nude covering Smartsheet engaged 2019. Brought to you by smartsheet. >>Welcome back, everyone to the cubes. Live coverage of smartsheet engaged here in Seattle, Washington. I'm your host along with my co host, Jeff Rick. We're joined by Jean Farrell. He is the CPO of smartsheet. Thanks for coming on the show. >>Thanks for being here. >>Great to be here here last year and even bigger and better. You moved out of the hotel and convention center. That gets something. Did >>we did, We were. We have almost 4000 strong this year and we're super excited. We've been looking forward to this for a while. So >>So this is the third, the third annual conference yet. Just tell us a little bit. Let's let's open it up by telling our viewers a little bit about what this means to you, how big the show is. Give us a few stats. >>Yeah, well, you know, we ran our first customer conference, our first engaged really three years ago in in Bellevue at a conference center attached to a hotel that's right next to our headquarters, which is so super convenient, and I think we had 5 700 people there, and it was a great start andan. Last year we doubled in size and we actually outgrew the facility in Bellevue on. So when we planned for this year, we said, You know, let's go Big way felt this momentum building. We had such great feedback from customers what they learned and what they came away and could do after coming to engage that we felt we could. We were ready to kind of take it to a big stage. And so it was really exciting. I spent before joining Smartsheet two and half years ago. I spent five years that Amazon Web service is, and I was fortunate enough to be there when they did their first reinvent in Las Vegas, and it was roughly 5000 people, and I had a very interesting deja vu moment walking into the main auditorium here yesterday, Andi, it just brought back all the memories of Oh my gosh, this is like the size of remain so in three years we should be. Roughly 25,000 will be >>in Vegas >>today, up on the main stage. A lot of great new product announcements I want it, I want you to sort of break it down for our viewers. He started talking about how you really served three core customers and these new product announcements are really targeted. Each of these >>Yeah, we kind of broke it out. And what we find >>your way, sir? Customers of all sizes. So from startups, toe, medium sized businesses to large enterprise and within almost every one of those customers, we really see three distinct user groups really work force, which is at the core kind of where we started the I T teams, which many times there to support the workforce but also drive a lot of their own work clothes. And then the business decision makers. Folks that are really looking at, How do I drive overall organizational effectiveness and improve efficiency? And so what we tried to do was make sure we were delivering a set of capabilities for everybody on DSO for the workforce. We announced a bunch of new capabilities. Probably the highlight was our new conversations in context, which we're really excited about. It's gonna enable ah, whole new level of collaboration and engagement within the platform, and >>it was really >>grounded in customer feedback. That said they wanted the ability to actually interact in the context of their work and too many times what they were forced to do is they would have a question and they would have to go send an email or they go send a chat and then the response is disconnected. So it just wasn't as efficient. That could be. So we took that signal and work very closely with customers to design the new experience. So really excited about those those capabilities. We launched new forms, capabilities and multi select dropped down a lot of things that our customers are really excited around. From the workforce perspective on the I t front, we've introduced a ton of new things all year. The two big announcements today were around our accelerator for GDP are which it actually affects almost anybody that does business with an EU citizen. So a lot of folks don't really connect the dots ago. I'm in. You know, I'm in Redmond, Oregon. Why do I need to comply with GDP? Are well, if you sell the anybody in the you need to figure that out, um, and and then, um beyond GDP are. We talked about our federal offering on our new govcloud, which is really key for government agencies but also all the contractors to support government agencies. And so a lot of our customers are very interested in that. And then the final piece was really business leaders. Andi talked there about new enhancements to control center. Do it really let it scale and move across the organization roll ups, ability to do multi tier on then. Importantly, we talked about the new content collaboration capability, which is which is a really big it integrates are our slope technology. So marketing and other types of, uh, disciplines can use content collaboration in their work. I'd be remiss if I didn't mention 10,000 feet. >>So lots to talk about a lot. But you clearly, this is the customers, right? Because I think it was at the pasting. Widgets between Dashboard was a standing ovation. It's amazing the power of copy and paste when you can pull that work, you know, it's it's what the people want. It's funny you say that I am constantly >>amazed with that. The things that when you saw little problems that unlock all sorts of new use cases and many times that cheer you here is because customers have been trying to work around those problems, right? So multi select Drop Down is a great example where they had to do all sorts of gyrations in how they configure their work to support multiple selections. And so now we've made that much more elegant for them, and they're like, ecstatic because they no longer have to invest that time and >>I can't >>let you go. >>Wow, Is that all it took? I would sooner. It is a lot of times right, the simple things that have the huge, a huge improvement in kind of getting away from this repetitive work, which is under the theme we keep hearing over and over and over again. >>No, that's absolute. That's absolutely true. And it is really little things can have a big impact or Or or the analogy I sometimes will use is if you're creating a puzzle or if you have kids and you've ever built, you know, the X wing fighter set. If you're missing a few pieces, it's just not the same, right It just right. You can't kind of complete the work and so sometimes just completing that play for customers, giving them that that last piece they need to really go in power. Their workflow is is really cute. >>And I also think because we're living at a time where we have way demand so much from technology in our personal lives, and it delivers most for most. For the most part, our lives are pretty seamless and the way we can order things from anywhere. And so when we have, when we deal with these little aggravations at work, it's just that much more so. One of the things you said on the main stage is that customers are not shy about telling you what they want. So I want to hear from you how you solicit feedback and your process for making these changes for >>way actually, have >>we actually have a bunch of different mechanisms? We used to listen a customer, and I actually call it customer signal because it comes from a lot of different places. Way have kind of foundation. Aly we have a process actually called enhancement request. So many of our customers can go in our community and actually submit a form and say I really want you to build this Andi, That's very intentional, like there's no confusion, and usually they're very straightforward. But beyond that, we also we have the community in general. So we monitor that we get feedback on on kind of a freefall flowing forum where they give us feedback. We have user groups that this year will due north of 40 user groups around the world, where we bring collections of customers together, many time hosted at different customer locations, and customs will talk and share best practices and give us feedback on things that they'd like to see. I spend a ton of time out in the field with customers just visiting with them, talking about their use cases, helping themselves problems on and importantly, we have AH product advisory Council and a customer advisory board. And these air both specific groups of customer smaller groups that we've recruited and we actually use them tow, consult with us very closely to give us kind of overall direction. And then probably the most valuable feedback once we know where we want to go is once we start building, we have a private beta program, and then what we call an early adopter program. Both of those enroll customers in interacting with things were building before they're launched. And that gives us a chance to get real time feedback into what they like. What? They don't know what we need to improve. And sometimes the product will stay in in that private beta phase for longer than we expected, because the signal we get requires that we make changes. So we think that's really important to make sure we actually hit the mark. Because if you if you're on, if you're not satisfied, customer need or solving a problem, >>they're not gonna buy. What's the point? You're >>surely gonna get a lot of customers signal here at >>engaged over the next couple of Absolutely. And they're absolutely not shy. Every time I'm running some, it's like, Oh, we love this. And here's the 10 things I want that exactly. >>Thank you so much for coming on the Cubans. Pleasure having you >>my pleasure. Thanks for having me. And thanks for being here. It engaged. Thanks >>for having us. Great. >>I'm Rebecca Knight for Jeff. Rick, You are watching the cube. Stay tuned

(upbeat jazzy music) >> Announcer: From our studios, in the heart of Silicon Valley, Palo Alto, California. This is a CUBE Conversation. >> Hello and welcome to theCUBE studios for another CUBE conversation. Here where we go in depth with thought leaders driving innovation across the tech industry. I'm Donald Klein, today I'm here with Tom Stepien, CEO of Primus Power. We're going to talk about the state of clean tech. Tom, welcome to the show. >> Great to be here, thank you very much, Don. >> Okay, great, well look, we're going to kind of get into the state of climate change, and what's happening and why the solutions that you provide are kind of important, but first just why don't you just give a quick overview of Primus Power and what you guys do. >> Sure, so Primus Power is a stationary energy storage company. Our flow batteries work on both sides of the meter, the utility side, the guys who are supplying electricity, and the behind the meter side, the folks who use electricity, like this studio. And what we do is offer a solution that allows that allows you to optimize your electricity use. You charge the batteries typically when the price of electricity is low, and the usage is low, and then you pull from those batteries, instead of the grid, when the grid prices are high, and the cost is high. >> Donald: Okay. >> And that allows our customers to save money on both sides. >> Excellent, and so just quickly, who's the you, who's the customers here, who are the primary focus that you're selling to? >> Sure, sure, so the utilities are PG&E, the utility that's putting electrons to this studio, to smaller utilities, there's several thousand utilities in the US and then worldwide, of course. Folks who are supplying electricity. Also think about renewable plants, right, Solar-Plus storage, wind farms have curtailment problems because wind is gusty, tends to show up at the wrong time sometimes. You can save wind when it's extra, and then dispatch it when timers low. So renewables projects are customers. And then homeowners are customers. I lost power on the way here this morning, if I had a battery in my garage or by the side of my house I would have been able to keep the lights on and the garage door open. >> Okay, excellent, okay, all right. Well, lets, lets talk about kind of clean tech, right? So everybody's interested in what's happening with climate change, it's kind of front and center in the news cycle these days. California's actually been a real leader in implementing legislation to accelerate the adoption of Grid-tied storage solutions to make better use of renewable energy, correct? >> They sure have, absolutely. The California Energy Commission has been a leader in this space, the CPUC that governs the three investor owned utilities in California, initially 8-10 years ago put out a very important law that Nancy Skinner lead, relative to using storage and mandating storage in chunks for the three IOU's over the next 10 years. >> Interesting. >> We have exceeded those goals, I think it has helped drive down the cost of storage. It's helped companies like Primus blossom because it's created a market. Other states have jumped on that bandwagon, New York has, you know, done that, Oregon has storage goals, and many other states also, and it's helped improve the technology for sure. >> Interest, but so California's really been leading the charge since 2010 in this area? >> Yes, yes, I travel a lot, I've been to China, and Europe, and Kazakhstan, and all places. Everyone asks me, "What's happening in California?" If you look at Bloomberg numbers about energy storage, California is broken out and often the leader. South Korea did a lot last year, but within the US, California leads for sure, and will continue to do so. >> Interesting, and then they doubled up on those numbers again back in 2016, is that right? >> They are, they're continuing to up the goals, right? As a state we now have a carbon free goal. Wisconsin just this morning I read is also moving to carbon free goals under Energy Mix. So California has led for sure, but other cities, Chicago has a goal, other states are following, but it all has started here, for sure. >> And just talk about this connection between, kind of, a carbon free energy solution and grid-tied battery solutions, what is the connection? How do the batteries help with making states carbon free? >> Yeah, for sure, so solar is the least expensive way of generating electricity, full stop, right? What Germany did years ago with Feed-in Tariff and has driven down the cost is actually somewhat similar to what California did and helped drive down the cost and improve the technology. It is now at a point where it is the cheapest form, it is less expensive to put in a new solar plant than to run some of these gas plants. >> Interesting. >> California has no coal, got rid of that years ago, but has a lot of gas. Point in fact, in earlier this year in the Southern California Edison district the California Public Utility Commission, the guys who rule the utilities, said, "No, no, no, lets not put a couple hundred million dollars "to update and refurbish some of these gas plants, stop, "instead lets move that toward energy storage." >> Interesting. >> So here's how it's going to look in the future, you have solar, right? And we all know the low, low cost of that, right? Next Era Energy, using some of their numbers, because their the largest, one of the largest developers in the US, has the 20 year power purchase agreement price of solar by itself, is $25 to $35 a megawatt hour, right? Really low, so two and a half cents a kilowatt hour, right? I pay 10, 12, 18 cents per kilowatt hour for electricity at my home, depending on the uses. So, wow, right, it's an order of magnitude less than that. And then we all know what solar looks like, right? It's great during the day, but there's two dynamics that are important with solar. One are clouds, right? If you lose power because clouds go over, that intermittency is a problem. Quick acting batteries can take that out. The second one that everyone knows is the solar parabola tends to fall down when the sun sets, well what do you do for the other, either 12 or 18 hours of the day? And that's where batteries of a different type come in that gets charged in the middle of the day with that extra electricity from the peak and dissipated at night. >> Okay. >> That is the grid of the future, for sure. >> And you can do this both at a residential level, right? But also at a distribution center, replacing an older, kind of, you know, peak generation plant? >> Absolutely, right, and if you look at the refurbishments that are happening up and down the coast here in California, that's exactly what they're moving towards, and here in California we have a utility that got into a bit of trouble because of some of the wildfires and not maintaining some of the lines as we all have read about. Now they are publishing and turning off parts of the grid, if there are wildfire concerns. That is going to drive the use of storage at home, and the tariffs also are going to encourage that, right? Where you are encouraged economically to save extra electricity if you have panels on your roof, and then use that at night. So it's helping drive that market, and it's the right way to go. >> Interesting, so both in terms of houses that are in, sort of, forested areas, right, they're going to need this type of local energy storage solution. You've also got replacing the, kind of, peaker plants with using grid-tied storage to be able to push out energy over the grid, right? So these are going to be increasing use cases, so we're going to see battery installations both at plants and also in homes, but all of these battery solutions they're all tied to the cloud, correct? They're all tied to the internet, they're effectively functioning as IOT devices at the edge. Maybe talk a little bit about how that works and how, what the benefits are from a leveraging those types of technologies. >> Sure, yeah, so yes you're absolutely right, they are at all points of the grid, and different types of batteries for different functions. And it's fascinating, there is a whole class of companies that, of course, are emerging on the battery scene, right? Lithium-ion batteries, flow batteries like Primus, etc., and other types, really long thermal batteries are going to be coming, but then there's the class of the software companies that are helping manage these assets because you need to smartly charge and discharge. Sometimes driven by weather signals. Okay, it's going to be really windy tonight so I want to enter tonight with an empty battery if I'm a wind farm down in Palm Springs so I can take that extra wind and put it into the battery. Sometimes they're driven by economic signals, right? Because it's a really hot day and the prices of producing electricity are going to be high, so therefore I can take a different type of action. >> Interesting. >> And they will control those assets, batteries, on either side of the grid and make intelligent choices, driven by economics to provide the best outcome for, again, either the utility or the homeowner, maybe even the neighbors, right? At some point we're going to be able to share electricity. Why can't I use my neighbors panels if they're out of town for two weeks, and they can do the same when I'm out of town? So that will all come here over time. >> And that's all being enabled by a new class of software companies that are really treating these energy solutions as, kind of, you know, IOT devices. >> Absolutely, and they, it's a great model because it's just another IP address, right, and there's some attributes that it has and you understand the batteries and you can make economic decision. So think of it like a trading platform if you will. So those are emerging, you know, there's some really fascinating companies that are young and starting but off to a great start on those tasks. >> Excellent, okay, so why don't we just talk a little bit about Primus Power itself for a second. So you're in particular type of energy solution. Why don't you talk about that, and how you differ from some of the other providers that are out there? >> Sure, so there's lots of different types of batteries, right, and one thing to mention, that there's no perfect battery. There's always trade offs on batteries, right?. You always, of course, get less out than you put in, because you can't create energy. So there's efficiency differences. We're probably all familiar, the audience here is, with lithium ion batteries, with the Powerwall and Sonin and some, you know famous companies. SolarEdge has done a great job putting batteries with solar, or just having batteries by themselves. Those batteries today, most of the market is lithium ion. Lithium ion is 20-30 years old, first showed up on the Sony Handycam, very bankable, very proven, but like all batteries, have trade offs. We know the fade that we've experienced with our laptops and our cell phones-- >> Absolutely. >> Which is lithium ion. That's okay, because you can buy a new iPhone every three years, but if you have that on the grid, not so good, you don't want to go out to the substation every three years with a new set of batteries. Well, there's also fire concerns. There were 30-40 fires in South Korea last year, lithium ion based, and there was a big one earlier this year in Surprise, Arizona, bit of a Surprise down there, it sent some firefighters to the hospital. So that's some of the strengths and weaknesses of lithium ion. A flow battery, like ours, gets its name because we flow a liquid electrolyte, and a typical flow battery has two tanks and you're moving liquid from one tank to the other take through a reaction chamber, that's a stack of electrodes, and you plate a metal, we plate Zinc, other people plate iron, or you're playing tennis with electrons. This is high school chemistry coming back to haunt all of us, you're changing valance states of Vanadium, for example, Primus, if I talk about that difference, is unique in that it only has a single tank because we exploit the density differences in our electrolyte, kind of got a oil and vinegar separation going on, and we don't have a membrane in our stack of electrodes, so it's about half the cost, half of the price compared to other batteries. It's earlier, right? That's our biggest detriment is that we're not quite at bankable scale yet, we'll get there, right? As a young company you have to earn your stripes and get the UL certification and get enough things out there to do that. But there will be a number of winners in this space. Lithium ion is really good for certain applications, flow generally is good for daily discharges, think solar plus storage, deep discharge, multiple hour 4, 5, 6, 8 hour storage, and then there's going to be week long batteries that might be thermal based. There's a company that's moving, got a nice round of funding last week that's blocks of concrete around because you can, just like the pumped hydro you can move water up and down depending on the price of electricity and the use, you can move concrete blocks up and down. Spend energy moving it up, and then use gravity as your friend when you need electricity from the concrete battery. >> So, so in terms of future battery economy, like with multiple types of solutions for different sort of use cases right? >> Exactly. >> Whether sort of transportation or handheld, right, to residential, to grid-tied, etc.-- >> Absolutely, sure, and it will be drive by economics and then, you can't have a concrete battery in downtown San Francisco but you could in the middle of the Mojave-- >> Understood. >> So it would be-- >> Understood-- >> Absolutely-- >> Okay, so in order to kind of let you go here why don't you just talk a little bit about Primus, how you, where you guys are at in terms of your own evolution. How much deploy battery pods do you have out there in the world today? >> Sure, so Primus is at a stage now where we are growing. We're trying to grow at the right rate, because you don't want to get too far ahead of yourselves. We have systems up and down California, at some projects that have been put at waste water treatment centers, right, where we can help optimize the economics of the waste water treatment centers. They have components that are spending electricity they have solar, okay, batteries can help improve those economics. We have them at utilities that are testing them to see, "Okay, how well do these work?" Many of these new battery companies are where we are, where our customers are a try before you buy or a test before you invest type of a situation. We have a battery in China at one of China's largest wind turbine provider. Wind curtailment is acute in certain provinces in China. In fact in one of the provinces, Qinghai, in northwest China they passed a law a couple years ago that said "every new wind turbine has to have "a battery with it," so that's created a market there. >> Okay. >> There's also, we will be coming out with a residential version for some of the same reasons we mentioned about the wildfire concerns. >> Excellent, and so just give a sense how big, you talked about your pipeline and how many kind of quoted sales you've got out there. Just give us, the audience, a rough idea of what kind of pipeline you're looking at. >> Sure, so as a company we're moving from single digit million type of revenue that we did last year, to double digit million that we want to do next year. That translates into roughly 200-300 of our systems. Our systems, by the way, are think of a large washing machine, two meters, by two meters, by two meters. We have, in our pipeline of projects that we've quoted, more than a billion dollars worth of projects, a lot of solar-plus storage, a couple years from now. We won't get them all, for sure, but it shows the really strong interest in solutions like ours. >> Excellent, well exciting stuff Tom. Thank you for coming into TheCUBE and having a conversation with us. Appreciate you taking the time. >> Don, thank you very much, it was wonderful, really appreciate it! >> Donald Klein, thank you for joining us for another CUBE conversation, we'll see you next time. (upbeat jazzy music)

>> Live from Stanford University. It's the Cube covering global Women in Data Science conference brought to you by Silicon Angle media. >> Welcome back to the key. We air live at Stanford University for the fourth annual Women in Data Science Conference. The Cube has had the pleasure of being here all four years on I'm welcoming Back to the Cube, one of our distinguished alumni Janet George, the fellow chief data officer, scientists, big data and cognitive computing at Western Digital. Janet, it's great to see you. Thank you. Thank you so much. So I mentioned yes. Fourth, Annie will women in data science. And it's been, I think I met you here a couple of years ago, and we look at the impact. It had a chance to speak with Margo Garrett's in a about an hour ago, one of the co founders of Woods saying, We're expecting twenty thousand people to be engaging today with the Livestream. There are wigs events in one hundred and fifty locations this year, fifty plus countries expecting about one hundred thousand people to engage the attention. The focus that they have on data science and the opportunities that it has is really palpable. Tell us a little bit about Western Digital's continued sponsorship and what makes this important to you? >> So Western distal has recently transformed itself as a company, and we are a data driven company, so we are very much data infrastructure company, and I think that this momentum off A is phenomenal. It's just it's a foundational shift in the way we do business, and this foundational shift is just gaining tremendous momentum. Businesses are realizing that they're going to be in two categories the have and have not. And in order to be in the half category, you have started to embrace a You've got to start to embrace data. You've got to start to embrace scale and you've got to be in the transformation process. You have to transform yourself to put yourself in a competitive position. And that's why Vest Initial is here, where the leaders in storage worldwide and we'd like to be at the heart of their data is. >> So how has Western Digital transform? Because if we look at the evolution of a I and I know you're give you're on a panel tan, you're also giving a breakout on deep learning. But some of the importance it's not just the technical expertise. There's other really important skills. Communication, collaboration, empathy. How has Western digital transformed to really, I guess, maybe transform the human capital to be able to really become broad enough to be ableto tow harness. Aye, aye, for good. >> So we're not just a company that focuses on business for a We're doing a number of initiatives One of the initiatives were doing is a I for good, and we're doing data for good. This is related to working with the U. N. We've been focusing on trying to figure out how climate change the data that impacts climate change, collecting data and providing infrastructure to store massive amounts of species data in the environment that we've never actually collected before. So climate change is a huge area for us. Education is a huge area for us. Diversity is a huge area for us. We're using all of these areas as launching pad for data for good and trying to use data to better mankind and use a eye to better mankind. >> One of the things that is going on at this year's with second annual data fun. And when you talk about data for good, I think this year's Predictive Analytics Challenge was to look at satellite imagery to train the model to evaluate which images air likely tohave oil palm plantations. And we know that there's a tremendous social impact that palm oil and oil palm plantations in that can can impact, such as I think in Borneo and eighty percent reduction in the Oregon ten population. So it's interesting that they're also taking this opportunity to look at data for good. And how can they look at predictive Analytics to understand how to reduce deforestation like you talked about climate and the impact in the potential that a I and data for good have is astronomical? >> That's right. We could not build predictive models. We didn't have the data to put predictive boats predictive models. Now we have the data to put put out massively predictive models that can help us understand what change would look like twenty five years from now and then take corrective action. So we know carbon emissions are causing very significant damage to our environment. And there's something we can do about it. Data is helping us do that. We have the infrastructure, economies of scale. We can build massive platforms that can store this data, and then we can. Alan, it's the state at scale. We have enough technology now to adapt to our ecosystem, to look at disappearing grillers, you know, to look at disappearing insects, to look at just equal system that be living, how, how the ecosystem is going to survive and be better in the next ten years. There's a >> tremendous amount of power that data for good has, when often times whether the Cube is that technology conferences or events like this. The word trust issues yes, a lot in some pretty significant ways. And we often hear that data is not just the life blood of an organization, whether it's in just industry or academia. To have that trust is essential without it. That's right. No, go. >> That's right. So the data we have to be able to be discriminated. That's where the trust comes into factor, right? Because you can create a very good eh? I'm odder, or you can create a bad air more so a lot depends on who is creating the modern. The authorship of the model the creator of the modern is pretty significant to what the model actually does. Now we're getting a lot of this new area ofthe eyes coming in, which is the adversarial neural networks. And these areas are really just springing up because it can be creators to stop and block bad that's being done in the world next. So, for example, if you have malicious attacks on your website or hear militias, data collection on that data is being used against you. These adversarial networks and had built the trust in the data and in the so that is a whole new effort that has started in the latest world, which is >> critical because you mentioned everybody. I think, regardless of what generation you're in that's on. The planet today is aware of cybersecurity issues, whether it's H vac systems with DDOS attacks or it's ah baby boomer, who was part of the fifty million Facebook users whose data was used without their knowledge. It's becoming, I won't say accepted, but very much commonplace, Yes, so training the A I to be used for good is one thing. But I'm curious in terms of the potential that individuals have. What are your thoughts on some of these practices or concepts that we're hearing about data scientists taking something like a Hippocratic oath to start owning accountability for the data that they're working with. I'm just curious. What's >> more, I have a strong opinion on this because I think that data scientists are hugely responsible for what they are creating. We need a diversity of data scientists to have multiple models that are completely divorce, and we have to be very responsible when we start to create. Creators are by default, have to be responsible for their creation. Now where we get into tricky areas off, then you are the human auto or the creator ofthe Anay I model. And now the marshal has self created because it a self learned who owns the patent, who owns the copyright to those when I becomes the creator and whether it's malicious or non malicious right. And that's also ownership for the data scientist. So the group of people that are responsible for creating the environment, creating the morals the question comes into how do we protect the authors, the uses, the producers and the new creators off the original piece of art? Because at the end of the day, when you think about algorithms and I, it's just art its creation and you can use the creation for good or bad. And as the creation recreates itself like a learning on its own with massive amounts of data after an original data scientist has created the model well, how we how to be a confident. So that's a very interesting area that we haven't even touched upon because now the laws have to change. Policies have to change, but we can't stop innovation. Innovation has to go, and at the same time we have to be responsible about what we innovate >> and where do you think we are? Is a society in terms of catching As you mentioned, we can't. We have to continue innovation. Where are we A society and society and starting to understand the different principles of practices that have to be implemented in order for proper management of data, too. Enable innovation to continue at the pace that it needs. >> June. I would say that UK and other countries that kind of better than us, US is still catching up. But we're having great conversations. This is very important, right? We're debating the issues. We're coming together as a community. We're having so many discussions with experts. I'm sitting in so many panels contributing as an Aye aye expert in what we're creating. What? We see its scale when we deploy an aye aye, modern in production. What have we seen as the longevity of that? A marker in a business setting in a non business setting. How does the I perform and were now able to see sustained performance of the model? So let's say you deploy and am are in production. You're able inform yourself watching the sustained performance of that a model and how it is behaving, how it is learning how it's growing, what is its track record. And this knowledge is to come back and be part of discussions and part of being informed so we can change the regulations and be prepared for where this is going. Otherwise will be surprised. And I think that we have started a lot of discussions. The community's air coming together. The experts are coming together. So this is very good news. >> Theologian is's there? The moment of Edward is building. These conversations are happening. >> Yes, and policy makers are actively participating. This is very good for us because we don't want innovators to innovate without the participation of policymakers. We want the policymakers hand in hand with the innovators to lead the charter. So we have the checks and balances in place, and we feel safe because safety is so important. We need psychological safety for anything we do even to have a conversation. We need psychological safety. So imagine having a >> I >> systems run our lives without having that psychological safety. That's bad news for all of us, right? And so we really need to focus on the trust. And we need to focus on our ability to trust the data or a right to help us trust the data or surface the issues that are causing the trust. >> Janet, what a pleasure to have you back on the Cube. I wish we had more time to keep talking, but it's I can't wait till we talk to you next year because what you guys are doing and also your pact, true passion for data science for trust and a I for good is palpable. So thank you so much for carving out some time to stop by the program. Thank you. It's my pleasure. We want to thank you for watching the Cuba and Lisa Martin live at Stanford for the fourth annual Women in Data Science conference. We back after a short break.

>> Woman: From the heart of Silicon Valley, it's theCUBE; covering CloudNOW's Seventh Annual Top Women Entrepreneurs in Cloud Innovation Awards. (dramatic music) >> Hi, Lisa Martin with theCUBE on the ground at Facebook Headquarters. We're here for the Seventh Annual CloudNOW Top Women Entrepreneurs in Cloud Innovation event. Welcoming, one of the award-winners tonight, to the program, we've got Sce Pike, the founder and CEO of IOTAS. Sce, it's so great to have you here, and congratulations on your award. >> Thank you so much, Lisa. >> So IOTAS's cool software. >> Mm hmm. >> Tell us about that. This is for the Smart Apartments. These days we're so used to being able to talk to any device and have it control things. Smart cities are our big thing, smart everything. Tell us about IOTAS. What do you guys do when the impetus for the technology. >> Sure, I really believe that the future of smart home is actually something that is not just four walls and a roof, but actually something that is aware of you. So, aware of you and knows your preferences and settings, and actually knows everything about you and wants to actually be an ally to you, and actually can differentiate between you, and your family and friends, and potentially an intruder. And so, the only way you're going to get there is to actually work with early adopters of technology. This is when we start identifying the real estate industry with multi-family where all the early adopters were living, right, because only 30 percent of Millennials own homes. And so, we thought about this and said, "Okay, well, how are we going to actually get to those millennials?" And then a real estate developer actually approached us, saying, "Hey, I want technology differentiation for my building that I'm creating, 200 units in Portland Oregon," which is where I'm from, and said, "I want to have something different." And that's when I was like, "Oh, this is the opportunity to actually work with the real estate industry to put it into the fabric of the buildings." And that's when I got really excited when we can actually make a true smart home that has all the lights, all the outlets, all the locks, voice as you mentioned, and everything that is an experience versus just on, off. >> That's so interesting. I looked at your Web site and saw the journal and how it's talking about something that you mentioned, this awareness and learning the individuals and being able to have the intelligence to distinguish. >> Is it called stories on the website? >> Those are stories, those are the automations, so that you can have a good night story, good morning, welcome home; so everything just works for people who are moving into our apartments. They download the app within 30 seconds. They can see everything that they can control, but they can see also, all the pre-programmed automation as well. But the other notion of what we are creating is something called a living profile. And this is really relevant from a CloudNOW perspective, is that the living profile travels with you from place to place to place. So we are not only doing smart apartments but we're also working in student housing, military housing, senior living, and starting to go into single family home as well. So for us, the notion is that these smart homes, all your settings preferences, your routines, your habits, travel with you from place to place to place, eventually to hotels, to cars, working spaces, hotels, short term vacation rentals and such. >> Wow! That's phenomenal. So this is an interesting kind of collaboration between the real estate industry and some technologists. >> Exactly. Exactly. >> I love that you were approached by a real estate developer who said, "I want to have a differentiation for my business." >> Exactly. Was that sort of a surprise to you thinking, you understand tech, you have a really cool background in anthropology as well as electronic arts, but there must have been sort of an interesting opportunity going, "Well, there's a huge opportunity in the market here >> Yeah. >> that we can help tech really kick the doors wide open on real estate. >> Yes. Exactly. My previous company, Citizen, which I sold to Ernst and Young, is known for connected technology. So we were developing connected technologies in cars, in healthcare and fintech, and we were looking at smart homes for single family home. And so, for us, when that real estate developer approached us, looked at the market, saw that the market is huge. It's $500 billion to a trillion dollars, just for multi-family home alone, it's an absolutely a large market, and then realized that this was truly an opportunity to scale smart home and IoT devices in a meaningful way because you're not just selling one device, one home, not even one building, but you're selling entire portfolios of companies like Prudential or JP Morgan. All the funds that you hear about, they're all real estate funds, right? And they're changing hands 40% of the ... A 40% of the fund is changing hands every year. That means they are buying and selling, and as they're buying and selling, they're adding technology into these buildings. >> Wow! That's so interesting. So, I want to kind of pivot a little bit into your background. I mentioned anthropology degree and electronic arts. And you have, I was asking you before we went live, I love stories like that where there's a ... I hear it wasn't a STEM kit, but you have some really cool influences that your anthropology background has delivered to, not just your career but also the technology that you guys are delivering. Tell us a little bit about that. Sure. So, anthropology is a study in human behavior, right? There's physical anthropology and cultural anthropology. Physical anthropology is now considered almost like evolutionary psychology. And so that actually allowed me because I've always been curious about human; human nature, why people do things, and that actually led my career into this interesting path of user experience design. And electronic arts actually taught me how to code as well as design on the computer. And when I graduated from college in the late '90s and moved to Silicon Valley, everybody's like, "I need somebody who could code and design all these Internet sites." So I ended up actually designing the first GM e-commerce site, the first HP's e-commerce sites, and that actually was not a direct path. I never thought I'd be making websites or working in an Internet, but it was an interesting path to get there. So you're right, it doesn't have to be this straight and like you got to be in computer science. There's so many different avenues to think about how technology needs a different point of view, right, from an art background or an anthropology background, and I think that's where there's an opportunity to bring in women or girls in a different way that still goes into STEM. So steam is a huge portion of what I support. >> Yes. And you talked about, it's just different points of view, it's thought diversity, even. >> Yes. >> Tell us a little bit about the culture that you're building at IOTAS and where, maybe even some of the softer skills >> Sure. >> are key to enabling you guys to do market expansion and accomplish some pretty big goals? >> Yeah. I mean, culturally, I love my team. I think one of the things that we always strive for, though, is the ability to always give back to the community as well. So we have like, events, as well as like, once a month, everyone has like, a give-back Wednesday, right? So they can go and volunteer and do other things that is outside of just their work life, right? And so that's just one of the things that we do and that allows them to just step away from their daily activity of being driven by just the startup mentality or the startup life and just go build something, and we do this a lot, Habitats for Humanities, right? We go build homes, real homes, and we always think we should offer these homes as smart home technology. But those are the things that I think really impact who we are. The other thought I had was I travel a lot. And I had this moment where I was getting on a plane. I was looking at the pilot, I was going, "Oh gosh! So much of my life is dependent on white men, and, unfortunately, like, my investors, my board members, all my executive staff, my husband, and I was thinking, "I need to change something. I'll keep the husband." (Lisa laughs) But we (chuckles) recently added a female board member who has a cybersecurity background. I'm recruiting for a female CFO and COO as well, and I'm trying to change up my executive staff, change up my investors, change up my board 'cause this is not something that you think about, coming from my generation which is a little bit older. You just need to do what you need to do to get it done, you don't think about yourself as a female entrepreneur. I thought of myself as an entrepreneur. I think of myself as a CEO. I don't have this like, "I'm a female entrepreneur." And so you sometimes forget to support other diversity in this environment, and that's kind of this moment of realization as I was getting on the plane, "I got to change something." Right? And so, our staff is more than 40% female. I'm trying to change that a little bit more. That's one of the key things that I think is a strength of having just representation. >> And maybe one of these days, you said your point: It won't matter, you will just be able to be a CEO, an entrepreneur. >> exactly. >> One more thing, since you're recruiting, where can people to go to find out more information about the opportunities? >> Sure, they can come to our site, reach out or contact at iotashome.com. That would be the best way to reach us. >> Excellent. Well, Sce, congratulations on the award. >> Thank you. >> And for what you're doing to help revolutionize the real estate tech industry. It's such interesting technology to make it aware and personal. Thanks for your time. >> Cool. >> Thank you so much, Lisa. We want to thank you for watching theCUBE. I'm Lisa Martin, at Facebook Headquarters. Thanks for watching. (dramatic music)

>> From Gillette Stadium in Foxboro, Massachusetts, if the queue recovering Vita Winter warmer, twenty nineteen Brought to you by Silicon Angle media. >> Hi. I'm stupid men. And this is the cubes coverage of V tug Winter warmer. Twenty nineteen here. A Gillette Stadium, home of the New England Patriots. Happy to welcome to the program. A community member, Someone I've known for many years at this point. Jonathan Frappe here. Who's with V Brown bag? Thanks so much for joining us from >> Thanks for having me. >> All right, so, you know, I watched this event, and when it started, it was, you know, originally the V mug for New England. And then it became vey tug And one, there's some of the politics stuff which we don't need to go into, but part of it was virtual ization and cloud. And what's the interaction there and what will users have to do? Different. And part of that is jobs. And one of the reasons I really wanted to bring you on is, you know, you started out heavy in that virtual ization base and you've been going through those machinations. So maybe just give our audience a little bit about, you know, your background, some of the things skill sets. You've got lots of acronyms on your on your you know, resume as it is for certification. You've done. So let's start there. >> Sure. So my background. I started this help desk. I did Windows two thousand Active Directory, administration and Exchange Administration all on site and moved into Mohr server administration. And when the empire started to become a thing, I was like, Wow, this is This is a game changer and I need to sort of shift my skill set. I understand the applications of music. I've been supporting him. But virtualization is going to change change That so started to shift there and saw a similar thing with Public Cloud and automation a cz, That same sort of next step beyond infrastructure management. >> All right. And you've had a bunch of certification. The real off a few. You know what? Where are you today? What? What have you added gives a little bit of a timeline. >> My first certification was a plus which come to you seemingly has come around and joined the ranks of posting toe linked in for everybody. So a plus was my first one. EMC PM, CSC on Windows two thousand. Took a little bit of a break in back into it. Bcp five era so four, five years ago. Cem Cem. Other of'em were Certs NSX Cloud see Emma and most recently, the solution's architect associate for a Ws. >> OK, great, in when you look at the kind of virtual ization and cloud, it's not like you thirst, which one day and said, Okay, I no longer need the VM were stuff. I'm going to do the cloud tell us a little bit about you know what led you to start doing the cloud and you know how you you know how your roles that you've had and you know the skill set that you want to have for your career. You know how you look at those. >> So for me, it is about being able to support what my business is doing. And sometimes the right answer's going to be VM, where sometimes it's going to be physical. Sometimes it's going to be containers or public cloud, or, you know, new fancy buzzwords like server lists. And I've always in my career tried to support what where, what application we're delivering to get the business, the information they need. So for me to do that properly, I need to be well versed across all of that infrastructure so that when when it's time to deliver something in public cloud or time to deliver something in the container, I'm ready to go when you do that. >> Yeah. What? What? What's the push and pull for some of the training bin? Is this something that you've seen? You said, like Veum, where you saw it, like, Oh, my gosh, I need to hop on that. You know, I remember back to those early days I remember engineers I worked with that were just like, this thing is amazing. That was like preview motion, even. Yeah, but you know, just what? That that impact we've seen over the last, you know, ten to fifteen years of that growth has there been times where the business is coming said, Hey, can you go learn this? Kaixian orders have been you driving most about yourself. Uh, >> it's it's been both. There are times when the business has come and said, Hey, we would really like to take advantage of virtual ization or public cloud. And it from a technology perspective, there may have been other factors that would impact the ability to do that. So that's why for me. I tried to sort of stay ahead of it when, you know virtual ization was taking off and everything I had was on physical servers. I knew I needed to have the VM where peace in my pocket so that when the business was ready and when other things like compliance, we're ready for it. We could move forward and sort of advanced that same thing with Public Cloud. Now that that's Mohr prevalent and sort of accepted in the industry a lot more cos they're moving in that direction. >> Yeah, and you know, what tips would you give your Pierre if they're a virtual ization person? You know, how are the waters in the cloud world is there are a lot of similarities. Is it? You know, do I have to go relearn and, oh, my gosh, I need to go learn coding for two years before I understand how to do any of this stuff. >> I think it's helpful. Tto learn some level of coding, but do it in an environment that you're comfortable in today. So if you're of'em were admin today, you know there's power, see Ally and be realized orchestrator and and even if you're on via Mars Cloud platform there's there's some basic power shell on bass scripting you could do in the cloud Automation. Get comfortable with the environment, you know. And then as that comfort grows when you move Oh, look, there's power shell commandments for a ws. If that's the route, you go so oh, already understand the format and how I how I glue those things together so you could get comfortable in the environment you're in today and sort of get ready for whatever that next step is. >> Yeah, I've always found I find it interesting. Look at these ecosystems and see where the overlaps and where two things come together. You know, I actually worked with Lennox for about twenty years. So I you know, back when I worked at Emcee the storage company and I supported the Lenox Group and Lennox was kind of this side thing. And then you kind of saw that grow over time and Lennox and virtual ization. We're kind of parallel, but didn't overlap is much. And then when we get to the cloud, it feels like everybody ended up in that space and there were certain skill sets that clinics people had that made it easy to do cloud in certain things that the fertilization people had that made it easy do there. But we're kind of all swimming in the same pools. We see that now in the, you know, core bernetti space. Now I see people I know from all of those communities on, but it's kind of interesting. Curious if you have anything you've seen in kind of the different domains and overlapping careers. >> Yes, you. For me. I think what's help is focusing on how the applications the business uses consumed, what some of the trends are around, how you know whether finance or marketing teams are interacting with those applications. If I know how the application works and what I need to do something to support it, the concepts aren't going to be vastly different. If I know how Exchange's install their sequel servers install, there's some custom application is insult. I could do that across the VM, where environment native US environment and should it supported into Docker by leveraging Cooper Netease. >> All right, so you've mentioned about the time the application, can you? How has it changed your relationship with kind of the application owners as you go from, you know, physical, virtual, the cloud. >> I don't think it should change much. The problem probably the biggest shift that you have is that at some point now, things are out of your control. So when I've got a server sitting in my data center that I can walk down the hallway to if something's not working, I have access to it. If there's an application down in the public cloud, or there's an A Ws outage or any public cloud provider outage, I have to wait. And that sort of I think the thing that I've seen business struggle with the most like, well, it's down, go fix it. It's like, I can't get to it right now, and I'm probably not driving to Virginia, Oregon to go reboot that server for Amazon. >> Whoever absolutely big shift we've seen right is, you know a lot of what I is. It I am managing is now things that aren't in my environment. You know, there was my data centers. My might have had hosted data centers where I'd call somebody up, you know, you know, tell the Rex paper person to reboot the servers or it's right, it's in the public cloud. In which case it's like, OK, what tools. What can I trouble shoot myself? Or is there some, you know, out of that I'm not aware of, you know, is affecting me. Yeah, >> it's Ah, it's a good shift to have for a infrastructure person because we're really getting to the point now. I think the tails, the scales have tipped to focusing more on delivering business value versus delivering infrastructure. The CFO doesn't necessarily think or care that spinning up a new V m faster is cool. They care about getting their application to their team so that they could do their work. So I think taking, you know, going to public cloud or going to other platforms where that's removed it sort of forces you to move to supporting supporting those business applications. >> So I'm curious it every time we have one of these generational shift time. Time is like, Oh, my gosh, I'm going to be out of a job on the server ID men Virtualization is going to get rid of me. I'm a virtual ization Had been cloud's going to get rid of me. This whole server listing will probably just get rid of all the infrastructure people I've read article yesterday was called the Creeping Apocalypse a CZ what they called it. But, you know, you know what you saying is there general fear in your peers or, you know, do you just, you know, dive in and understand it and learn it? If you could stay, you know, up with or a little bit ahead of the curve, you know you're going to keep employed. >> I would say that there's a mix there. Some people, even just a few months ago, some some folks I talked to and they were just sort of breaking into automation and like how they can automate deploying their applications in their legitimate concern, was I won't have a job anymore and sort of the way I looked at that was my job's going to change. I don't spend my entire day administering Windows two thousand active directory boxes any more. So I need Yes, I need to shift that and start thinking about what's next. If I can automate the routine task, you know, deploying an application, patching and application, bringing things up and down when there's some sort of failure than I, uh, I'm going to naturally grow my career in that way by getting rid of the boring stuff. >> Yeah, and I've been here in this argument against automation for decades now, and the question I always put two people is like, Look, if I could give you an extra hour a day or an extra day a week, do you have other projects that you could be doing or things that the business is asking for? That would be better. And I've yet to find somebody that didn't say, Yeah, of course, on DH. What are the things that you're doing that it would be nice to get rid of, You know, other people is like I love the serenity of racking and stacking cabling stuff. And nothing gets people more excited than beautiful cables in Iraq. I thought yesterday I saw people like going off about here's this data center with these beautiful, you know, rack, you know? So with the cable ties and everything, but I'm like, really, you know, there's more value you can add absolutely out there. So >> automate yourself into your next job. It is sort of the way I think I like to think about it. It's not a meeting, >> so let's you know, just look forward a little bit, you know? There's all these waves, you know, Cloud been a decade data was talking to keep downs in this morning on the Cube on we said, you know, when he talks to users, it's their data that super important applications absolutely is what drives, uh, you know, my infrastructure, but it's the data that's the super important piece. So you know, whether it be, you know, you're a I or, you know, you figure various buzz word of the day I ot You know, data is in the center. So what do you looking forward to is? Are there new search or new training that that are exciting? You are areas that you think you're Pierre should be poking out to help try to stay ahead of the curve. >> Yeah, and back to my earlier point about leveraging the thing you know today and how to sort of grow your career. And that next skill set is how I can look at data and make. I understand what's going on around that. So maybe maybe today that's taking some stats from any SX. I hosted an application and correlating that data together on help. You underst Yes. And you know what that means for the applicator action before or use their calls in. And that's going to help you grow into sort of this new realm of like, machine learning and big data. And in analytics, which I think is really the next thing that we're going to need to start doing as Mohr and more of that infrastructure shifted away into surveillance platforms and things that were not worried about How can I understand? How can I take that data? Transform it, use it, correlated together to, you know, help make decisions. >> Alright, on final thing, give us update on our friends at V Brown bag. So, you know, we talked Well, I always say, you know, when we go to V m world, it's like we're there. I'm trying to help kind of balance between the business and the technology. You want to go a little deeper and really geek out and understand some of these things. That's where you know the V brown bag. You know, people are going to be able to dig in with the community in the ecosystem. There was the V and V brown bag for virtual ization. But he brown bags doing much more than just traditional virtualization today. You know what? What? What's on the docket? >> Eso upcoming This year, we're gonna have some episodes around Python so helping add men's get to know Python start to get comfortable with it, Which would be a great language to a automate things that maybe you're doing today in your application, but also to be able to take data and and use Python, too. Manage that data extract value out of that data so that you can help make decisions. So look for the throughout this year and, you know, learn new things. >> All right, Jonathan, from pure pleasure to talk with you on camera after talking to off camera for many years. Thanks so much for joining us. All right. And we appreciate you joining us at this virtual ization and cloud user event. Ve tug Winter warmer. Twenty nineteen on student a minute. Thanks for watching the cue

live from Orlando Florida it's the cube coverage conf 18 got to you by Splunk hey welcome back to Splunk kampf 18 conf 8 hashtag Splunk conf 18 my name is Dave Volante I'm here with my co-host a minimun you watching the cube the leader and live tech coverage there's two days of wall-to-wall coverage is our seventh year stew at conf we're seeing the evolution of Splunk from kind of analyzing log files to having deep business impact across the organization and doing more with data Jim Nichols is here is the DevOps manager in Improv odda healthcare company good to see it thanks for coming to the cube again thank you for having me thank you so tell us about M privada and then love the the title DevOps in the title we'll get into that sure first the company yep so in providers the healthcare IT security company and we provide health court healthcare organizations around the world with secure Identity Management multi-factor authentication and enable just ubiquitous access to whatever sort of medical systems that they need to get into and we really try to enable healthcare by establishing trust between the medical providers the patient's the data and do that all securely and seamlessly so that we're not Security's not a part of their workflow it's just in there and they don't have to think about it and they just get access to what they need when they need it so I hear yeah on your website trust between people technology and information reminds me a little bit of a certain software company that branding is all around us today that is there seems like there's a line up between what Splunk does in your company's mission oh they're there absolutely is and you know like Splunk in privada has a very strong on premises in the data center footprint and we're expanding that into the cloud and that's where most of my work is is kind of managing those cloud systems that kind of complement the on-premise appliance and we're looking at how that's going to move into the cloud and what that means and it's very similar to like what Splunk is done with Splunk enterprise and now moving into Splunk cloud and we're actually a customer's point cloud everything that we do that we could possibly do is out in the cloud not in the data center in you you've got DevOps two new titles maybe bring us inside you know what that means that improv odda you usually think about you know moving fast things are changing all the time it's themes that we heard in the keynote this morning so explain that a little bit yeah so the way the DevOps model that we follow at improv odd is really like kind of a consultant model where we've got a small team of a very senior very expert DevOps folks and they kind of get assigned out to the agile teams and they're a team member that gets planned into the Sprint's plan and what we're going to be dealing and really kind of make sure that those deployment events or the DevOps work that we need to do is planned in as part of the normal development work and that consultancy model is really good in regards to Splunk because we run the Splunk infrastructure we do all the training we do some of the basic dashboard work and make sure that no matter what the team products onshore offshore wherever they are we're all looking at data exactly the same way exact same dashboards and it really kind of forces the knowledge to get shared throughout the organization across products and how we think about things and so Splunk you know DevOps isn't like a tool or a thing or whatever but Splunk is definitely a great like enabling forcing function to make sure that we are sharing metrics how the system works what we're learning on and all that stuff in a really consistent way so you know the t-shirt met tricks I've seen that I have what do you think that means oh so it's like the same old same old man metrics so huh what does that mean to you guys you have new metrics do you have a sort of new set of KPIs that you're using ourselves so I think the metrics part is that it's maybe 10 years ago the IT industry figured out how to get every single metric about CPU memory disk ram and all the tool there are a lot of different tools for doing it you know Splunk zabbix data dog others I don't know if it's okay to talk about other products or whatever but you know when you get like a CPU alert that goes off all right the CPU usage is 92% is that good or is that bad it sounds kind of high and you get that alert you look at that CPU chart and it's like there's no context there's no information and you know you might be designing your system to run at 90% if it's doing some batch processing or something so it's like metrics it's like you need to get the alert you need to know what's going on but you really need to like get the insight into what it is and that's why a lot of this stuff that they show this morning at the keynote was really exciting where you've got the metrics in one place the logs in one place it's all in one place so you get that alert and you can look at it and then see what else is going on without having to like jump into a bunch of different systems and how about DevOps your DevOps in the title what is how do you guys look at DevOps what is DevOps to you and where did it come from and where is it going I think that I've been doing DevOps my entire career since I got out of college and I came out of WPI and was studying like performance evaluation and it's like how do you measure systems get the insight how do you make sure they're running efficiently and I think that what I was kind of doing on the performance engineering side kind of intersected with like the agile movement and folks get into agile development teams and trying to integrate that knowledge and the metrics and how you're gonna run it in production into that sort of product building process so I feel like I've been doing DevOps for a long time and called it different things over the years you know for for us at improv Adi it's really about enabling our developers to deliver functionality to our customers as fast and as safely as possible so you know we're in the healthcare industry and you know the the systems that we build and integrate and support support life right like these are doctors that are using these systems they have to work a hundred percent all the time and that adds some interesting wrinkles where you wouldn't really think about doing continuous deployment for the system that you know somebody's going to get logged into to get into their medical records you might want to be able to move that quickly if you need to if there's an emergency bug fix but the level of safety and testing that we need to put in before it actually gets into production that's really where we spend a lot of our time in DevOps is making sure that that's a fish but that's fast and then when it goes from going from like a test environment into production if it takes an hour for office is not that big of a deal we're doing like you know multi week to week release cycles or even longer and so as far as like DevOps a lot of the movement has been around like continuous delivery and deployment and we kind of use that to optimize like the test build and debug cycle and that way when we know when we get to production that's going to go smoothly and that there aren't going to be any unanticipated how do security fit into this conversation sometimes you know the the buzzword term you know dev sac ops is you know how to how to Splunk in your practice look at security well so you know where a security company you know you know and we wouldn't really ever call anything dev sack offs because security is ingrained in a part of every single thing that we do walking into the building every day when we badge in I think about it our security people like is the building's secure all the way into like what we're ending up doing in the system so obviously Splunk is a huge supporter of that so we've got audit trail information on all the systems and we can know not only what you are system administrators and DevOps users are doing but like what docker is doing what commands it runs and really get at a very very low level of detail and we literally have everything that ever happens on those systems is audited and we've built a whole set of alerts around things that we know about things that we think might be a problem and we use kind of our expertise in the healthcare security space and then apply that to all our cloud systems so it's like we never have a team called dev sack ops it's like it's it's just what we do it's the first most important thing that we think about every day is security so that's why it's a little bit different for us but we like some of the ideas and I've you know we've started doing some work around automated security testing on the application code you know running like static analysis dynamic analysis integrating web scanning tools into our CI CD pipelines so that it just makes it that much easier you know and not wait till the end before you ship it or whatever we have it right in the development process what's the regime for your organization you know the classic development and operations throw it over the fence and okay DevOps brings those together but you still got a spectrum of skills and presumably you've got people on you know some kind of maturity model where you've got sort of newer folks maybe guys coming out of college like you were several years ago and you're training them and sort of you're one unified team at the same time you you might have some degrees of specialization so what have you found is the right regime for the DevOps team well I think the consultant model that we've established works really well and we've got a very senior DevOps person that's on the agile team and they may do some of the really tricky bits but once we get out of the part that only us as DevOps can do we really try to get the developers to do it so a lot of that's like Splunk training how do you build a dashboard here's maybe a simple example dashboard now you do the next panel that sort of thing to try to level everybody up and get everybody on the same page you know turned in terms of this divide between like Devon Ops when I actually joined and provided DevOps was NIT it was managed as part of like our SAS management offering along with like a lot of the other applications that IT managed and one of the very first things that our senior vice-president did was like they get to be in development they can't Oregon is a we were working together we're all on the same teams we're all doing all that stuff but just mentally organizationally get rid of the divide put them in engineering and report to the VP of engineering just like the developers development managers and architects and that's the way we've just get rid of any organizational or thought divide between the between the groups Jim you mention alerts just now and we've heard a few times you get alerts and you know I imagined the beeper in the old days now you get an alert on your mobile phone where are we in terms of being able to take action on those alerts have the machines take action for us is that an objective that you have is that just too damn scary your thoughts yeah so my first my first impression is that it's a little scary we do have some problems that occur with some frequency right so losing an Amazon ec2 instance happens you know 10 times out of 100 instances in the cloud on a given month so there's certain types of those failures that we've automated around just because you have to as a part of just doing business in the cloud so why do the Amazon like auto scaling groups all that stuff we've got a couple of you know issues that happen that we want to just resolve faster and repair faster they don't impact customer experience or user experience but we just want to get on top of those sooner so we've started to automate some of the very thin small carefully controlled controlled use cases so that if the alert were to go up spurious lis I know it's not gonna then take down a system that was running and finding good false positives exactly so only were places where false positives can be tolerated is where we're looking to do that yeah you don't want to take the humans out of the equation just yet or maybe ever for some of the simple things we we have and we can and we will but some of the complicated things it's like just stop and look at it and think about it for 90 seconds and then make the action we're to come up with how to program that 90 seconds of thought is like maybe talk about it be complete about it off oh this way okay let me explain it to somebody a second time and make sure it's right and then go and do a quake like just philosophically that's where I have to get a sheen to do that so Jim you're wearing the revolution a word shirt my understanding in privada is now one of two two-time Award winners if I got it right you're a commander Award winner maybe you could explain what that means and what it means to you and your company sure so the commander award is really about getting you know other folks in your organization using Splunk looking you know either looking at a dashboard at a report or digging down into the data and you know so why I won the award was really around like our use of docker containers so it was really important to me that developers people in DevOps people and support don't really have like a strong like network operations function but those types of folks that they're all looking at the exact same thing all the exact same tools all the exact same data so kind of as part of that mission it's just I hold trainings I hold office hours I've got one of my DevOps folks down here today or at the conference to then kind of spread the Splunk gospel show people how to use it if they've got questions all that sort of stuff and then the other part of that is really just showing people what we can do and advocating for the making decisions based on the data we have it in data you know I have it in spunk let's look at that to make the decision so that's really what that commander Awards kind of all about so if you're doing the doctor stuff you're a bit of a trailblazer so we were only a few years into this container initiative I was walking the show floor I even saw some companies looking at like the serverless technology you know what what led you to kind of put these pieces together and you know it tell us a little bit about kind of the community that you lean on to learn these things yes so the the technology trend around containers was very strong and very fast like with Amazon's especially like that when they came out with their ECS orchestration it was really fast and very strong and really the the technology trend kind of led me into it and then the developers being like we're gonna use docker we're gonna have to figure you're gonna have to figure out how to Splunk it so really from the very beginning I've gone through each and every sort of possible way to get data out of a dr. container in this Splunk and part of that is you know networking with the Splunk folks pretty good relationship with the with the fella that wrote the logging driver that went into the dock or open source project and like looked at the code reviews and all that and then it's really just trying it out trying things out and eventually kind of got to the sweet spot now where I've got the developers are all using local docker compose and that's configured a certain way then when we run in Amazon it's using Amazon ECS where I've also been working on kubernetes for a while and the way that you configure your docker in each of those environments is totally different the code running in the is exactly the same so we've realized that vision but the runtime environment is totally different so kind of where we're at now the config may be totally different on the logging drivers but in the end when you load up Splunk and you look at it and Splunk it's exactly the same whether it's your local laptop and amazon in production staving staging or whatever and I think my kind of favorite part in terms of like the Splunk commander award and getting folks using Splunk is that the way that I have it set it up set up now there is literally no local log file for the developers on their laptop it just doesn't exist it all goes out to Splunk so you can do a lot with grep and text pad and stuff on your local local laptop and I get that but now that they're in Splunk and it's just it's been a great way to get folks on board with what its gonna look like in production I know what it looks like in dev so I can make sure that my logs are good I'm logging enough and not too much and all that stuff so that's really where docker is really software is the same now we've got the logging the same the tools are all the same but then the runtime bits those are a little bit different and that's abstracted away hopefully Jim what does a DevOps guy want from a vendor you got a lot of open source stuff that you're working with you got a lot of different tooling what do you look for in a vendor what's what's the thumbs-up and positives and what what stuff really kind of ticked you off well so you know we're we're a key trusted vendor for a lot of healthcare organizations so I can kind of talk about how I we prison if a customer or a user comes up comes to us with a problem doesn't matter what it is it's our problem and we go through exhaustive lengths to identify where the problem actually is and so that may be in our code that maybe in another vendors code some third party some open source thing doesn't matter we're after the evidence we're after the facts we don't care if it's not in our code we're gonna help our customer be successful and that's what we would want from any vendor right so if we contact them with a support case we've got a problem we don't want any of this uh looks like a firewall problem or something like get to the data get to the facts and if you can prove if the vendor can prove that the problem is somewhere else great but we want a reproducible test case we want this whole finger-pointing thing is like it's horrible inside of an organization in terms of like running operational systems but then when you've got like as your Google Cloud Amazon Cloud Salesforce service now all these things all working together like you can't people just going to own the problem basically and that's what that's what we do right so if the customer comes to us with an issue it's our problem and then we go from there and figure it out and that's really what any vendor that we work with especially like a production operational sort of system that's really what we look for so you look for collaboration and focus on solving the problem not not the finger-pointing you know a virtual single throat to choke if you will yeah exactly hm well thanks very much for joining us on the cube is great to have you yeah thank you thank you very much appreciate I keep right - everybody stew and I'll be back hashtag Splunk conf 18 you're watching the cube right back [Music]