>> Announcer: Live from the Bill Graham Auditorium in San Francisco it's theCUBE. Covering Pure Storage Accelerate 2018. Brought to you by Pure Storage. >> Welcome back to theCUBE's coverage of Pure Accelerate 2018. I'm Lisa Martin with Dave Vellante. We're here in San Francisco at the really cool historic Bill Graham Civic Auditorium. We've been here all day talking with lots of great folks, and we're happy to welcome back another Pure customer, Patrick Welch, the network services manager for the Mississippi Department of Revenue. Welcome Patrick. >> Thank you, appreciate it. >> Tell us a little bit about the Department of Revenue. What do you guys do? What kind of information do you collect? >> Okay, we bring in all tax revenue for the state of Mississippi, including vehicle services. We register all the car tags in Mississippi. Income tax, corporate tax, any revenue that's generated in Mississippi comes through us. >> Tax refunds too? Or do you just take, you give? >> We take and give. I have to do it too. (laughing) >> So talk to us about some of the challenges that you had in your environment. I was reading your case study and what you guys are taking in is totalling $7.8 billion a year. As we just identified, some of it's being given back, but what were some of the, what was the infrastructure like to support that before you became a Pure Storage customer? >> We used an internal Mississippi, they're called ITS, they handle all internal infrastructure, that kind of thing. They were using a mixture of Dell, EMC, Compel that type of thing. We use a third party vendor who has an office shelf software package. And they have about 50 to 60 customers in different states and municipalities and countries around the world. In that environment of Dell, EMC, Compel we were about 47th on their list of productive sites. So we were way far down. We were not performing, latency across the board was horrible. The user experience was the worst. If you've ever been on a website and click the button and seen the spinning wheel, we had that in droves. And not just tax payers, but our internal people that worked DOR were not able to work efficiently. We came in and evaluated, and I looked at the infrastructure, and I said my team can do it better. Then when they said, we'll do it better I was like okay now I have to go out and actually do it better. I started researching other companies, and Pure kind of rose to the top of the list. We talked with other customers and partners, kind of how they tackle those type of challenges. We went through a lot of POC process talked with a lot of vendors, things like that. We ended up buying Pure. We are now number three. We went from almost 50 to three. Out of 50, to three. The only two sites that are ahead of us are smaller sites, their transactions aren't nearly as high as ours. >> Okay hang on, how much of that effect could be attributed to the storage infrastructure? Do you have a sense of that? >> 99% >> Really? >> Yeah because before we had, to be fair Pure is all-flash storage, right? And with Compel and EMC or hybrid arrays, at the end of the day, the latency that we saw was due to read and write input being very low. We implemented Pure, through the roof. Storage is not something we would ever look at if we had a problem. We know that that is performing well above capacity. >> Okay I got another follow up. I asked this earlier to another customer, so you're basically comparing an all-flash array to a sort of previous generation hybrid. So it could have been three, four, five, six years old, it could have been 10 years old, so, you had the option obviously of bringing in an all-flash array from the competition. >> We did. >> And you had processes and procedures tied to that, your data protection and you know those products well, but you chose to switch vendors. Why, you could have gotten comparable all-flash, but you chose Pure. Why did you choose that switch and that disruption? What business benefit did that bring you? >> There were several things that led to that. One of the things that we really liked was the proactive support, in terms of every three years they swap out your controller as part of your support and maintenance agreement. Which is huge for us because we don't have a lot of money, our budget is very small for IT, so I can't afford to replace equipment as often as some people can. Their proactive support model, not just in terms of swapping out equipment, but personnel, our sales team that we deal with, our engineering team that we deal with, we're on a personal basis with these people. I have cellphone numbers, I know who to call. We found that out through talking to other customers that, hey you call these guys, they're going to be there for you. Coming from not having that before, we knew that the people we had before, were not going to perform that same level of service. Even if we went to their all-flash product, we were going to have the same support, that we had had before, which was not good. >> And you didn't have that previously because, why? You weren't like a big bank or you just didn't spend enough? >> Because you're a number and in our business, we didn't spend near enough money to be considered. That's a theory of mine, I'm not sure exactly what the actual issue was, but it felt like we were not big enough to get that kind of attention. >> You're the little guy. Pure makes you feel like you're the big guy. >> We think we're doing okay. We have six arrays now, so were not tiny tiny, but we're not also we're not Citibank. But I've never felt any different than a Citibank type customer with Pure Accelerate. >> You're in two years you said? >> A little over two years, yeah. >> You've had enough experience to, you know when you first buy something, you go on Amazon you see the reviews this is great, you wonder if it's still great two years in. >> Patrick: Oh absolutely. >> You would still give a five star rating? >> Oh absolutely, I've done a case study, customers call me and I'm happy to talk about Pure to anybody. I have a lot of friends in state government, I try to head them off from making bad decisions. I'm like if you like your job, you want to keep your job, buy this. >> It's interesting to me, now one of the things that the customers tell us is they love a lot about Pure, but they really like the simplicity. You mentioned Compellent before, Compellent, in its day, was known for simplicity, compared to the old main frame storage. It's interesting to note how technology has changed in whatever 10, 12 years, comments? >> Yeah Compellent was a great product. Back in the day when it came time to evaluate products, they had not performed along the same track as a company like Pure, which consistently innovates its products. If this is again about feeling like the big guy, even though you're a small guy, they keep us in the loop of what they're bringing down the pipe, and it really makes us feel like we're invested in that ecosystem, and we know exactly how they're transforming, how they're going to develop their business going forward. It helps keep us as a happy partner. >> So it's, from what I'm hearing, Patrick, better experience all around, very happy. Did it save you any time? Are you able to now do things differently, add more value to your organization as a result of bringing in Pure? I wonder if you can talk about that. >> Oh absolutely, we spent a good chunk of time troubleshooting issues directly related to storage before whether it was storage creep where we had too much data versus the capacity of the array, or the input output problems in terms of IO, latency those types of issues. We don't see any of that anymore. So that frees our engineers up to work on other problems in the environment. >> What workloads are you running on Flashdeck? >> Mostly production sequel, high sequel workloads mostly. >> You mentioned the dreaded spinning color wheel or whatever kind of computer we're running, and that was affecting not just employees, but also Mississippi citizens. Problem gone? >> The problem is gone from the aspect of our side of things, now this is Mississippi so you still got a lot of rural customers who are still on some dial up internet, so we can't solve that problem for them, but in terms of our side of the fence, we know they're not going to see any latency because of us. We're delivering the application as best you can. Like I said, we're number three in the list of their sites, and we came 44 spots down. >> How quickly in the last couple of years alone? >> Patrick: Immediately, yeah. >> You have to wear a neck brace from the whiplash. >> Yeah we put it in and I'm just crossing my fingers, 'cause if I told them I could do this, and we're 45th, what did we really solve? We didn't solve the problem really, but we came from that high up to all the way down to three, it like felt my team had accomplished something really great. >> And pretty dramatic improvements to your database. I was reading the case study, within the context of your IT transformation, that you improved database transaction performance by as much as 20X. Big, also data reduction rates. So I want to get your perspective on the impact of TCO, and why that's so important for a public agency. >> A lot of things go into TCO. I think user experience is one of those things, downtime for the state. The biggest cost we had was not really something you could see before because our system went down all the time due to not being able to meet the requirements of the taxpayers and the people that work at the Department of Revenue. We don't have that problem anymore. We would spend days of downtime before, that's revenue lost for us. So TCO in that instance is kind of hard to calculate, but I know that the number is big. I know we've saved a lot of time and money. >> Why not just forget all this IT stuff, and throw everything into the cloud. I know as an IT pro, them might be fighting words, but it's talked about in the industry all the time. Why the decision to stay on Pram, and was that discussed? >> We definitely look at the cloud, we definitely have Azure workloads that are in testing right now. Unfortunately it's not just as simple as us saying okay let's go to the cloud, 'cause if it was up to me, with limited funding and that type of thing, I would love to move workloads into the cloud. Where it was applicable. The problem for us is IRS. We have a lot of IRS regulations around cloud. So the core infrastructure that we have, has to remain on premise. There's some things that we can do, but the regulations are a mile long. So we have to make sure that we always stay in compliance with the IRS. That limits our mobility a little bit in the cloud, but we're getting there slowly but surely. I feel like in the next 60 years we'll be there. I joke, but everything we do, we have to go through compliance measures, and we have to make sure we're checking all the boxes. There's one thing you don't want to have, and that's the IRS to write you up for non-compliance. If you're attacked or hit by some vector afterwards, then you're on the hook. You weren't in compliance that's why you were vulnerable. We just have to be very careful, but we're definitely interested. And we'll look into the future with the cloud. >> A lot of talk at this show every show we go to about artificial intelligence, machine intelligence. What do you make of it? How does it apply to your organization? Can you use it? Do you plan on using machine intelligence, whether it's fraud detection or tax evasion, et cetera? What's the state of AI in your world? >> I'd say infancy, but we know that due to the fact that the state hasn't kept up in terms of pay and that type of thing with the private industry. We're going to have to rely on artificial intelligence and automation and things like that to remain ahead of the curve in terms of compliance, performance all the metrics we've talked about. You have to have either a very talented and well paid staff or you're going to have to leverage these types of technologies to stay ahead of the game. >> So you have made some big impacts from an IT transformation perspective we talked about a minute ago. Where are you on this journey of digital transformation? What does that digital transformation mean to the Mississippi Department of Revenue? And what stage would you say you're at? >> We're getting there. Like I said before some of Mississippi is still very rural, for the first time ever, we had more online returns processed than mail. Believe it or not, Mississippians still like to mail their returns in. A lot of that is rural location, internet access that type of thing. We're getting there slowly but surely. I feel like in the next five years, we'll be probably 75% to 80% online refund based. I hope anyway, I hope we're still not at 50%. It's a slow crawl, but we're getting there. We do things a little slower than most people, but we get there eventually. >> You're friendlier down in Mississippi. >> We are definitely, you got to have something. >> You do, so in terms of next steps, you've solved the performance challenges, you're kind of on this road to digital transformation. How have you improved the efficiency of your IT team? >> Say that one more time. >> How have you improved the efficiency within network services? >> I think most of it comes down to not having to worry about the equipment and the environment. We have more time to focus on each other, the tasks we have in front of us. Before it was tackling issues that we knew were related to either vendor or product or storage or server. And now we're focused on expanding the skill set of the current staff. It allows us to leverage things like cloud and automation. We didn't have time to look at that stuff before. So when you ask me where we at with automation, we're still in the infancy because before all we did was fight issues related to previous vendors, previous products, that kind of thing. And this, while it's not a magic bullet, we still have, you're always going to have challenges it frees us up to be able to work on those types of-- >> Dave: Close to firefighting and whack-a-mole. >> That's all we did before. This guy is fighting this problem, he's fighting this one, then they don't get time to learn and grow as employees and as people. >> So automation is big priority, what kind of other fun projects you working on? Or techs that you're researching that get you excited? >> So right now we've deployed both of our major applications using Pure. Our big projects are kind of done. Now we're leveraging towards disaster recovery, modern day DR, BCDR, business continuity that type of thing. How do we recover in case of a disaster? That's kind of where my focus lays right now, to make sure the Department of Revenue, if we are affected by some type of disaster, that we're ready for the taxpayers of Mississippi to come up and running in a sister site and be ready to go. >> Okay that's a combination of infrastructure, probably going to use snapshots, remote replication, but there's also got to be a software component as well. What are you thinking about whether if you don't have a specific vendor product, but just architecturally what are you thinking about? >> So we absolutely right now leverage Zerto with Pure. Which is a very good combination, they work very well together and we have a co-low facility, it's about 200 miles north of us. We'd like to get more geographically diverse as budget frees up and that kind of thing, maybe move out into the Colorados or something like that. But our sister site, all of our data is replicated using Zerto. We're on, I believe, every 15 seconds we're tracking journal history. In the event of a disaster, and we've test fail overs. 'Cause you've got RPO and RTO. Real time objective and recovery point objective. It's important for us to be under 10 minutes, in terms of how quickly we can recover the environment. It's a real time objective. The last time we did a test fail over, we were about four minutes. So our business has completely transformed. Before if we had a disaster, we would be lucky to have data available to us number one and within three to five days. Now we are being able to turn around and operate in another location within minutes. >> And your RPO you said was 15 minutes, did I hear that right? >> Recovery point objectives, that is 15 seconds. Recovery points are every 15 seconds. Our recovery times, the total time it takes us to come back up and running, we hope to be under 10 and we got it around four. Now that depends on a lot of different things. Every situation is not the same. >> Very tight RPO. >> Patrick: Oh yeah, absolutely. >> 'Cause you're moving money, I guess. >> We're moving money. And it's very important that we stay up at all times. Obviously there is going to be a little bit of downtime, but we want to minimize that as much as we can. >> Patrick last question before we wrap here, this is your first time at Pure Storage Accelerate. A whole bunch of announcements this morning, anything that you've heard that excites you for expanding this foundation that you have with Flashtech? >> A lot of the stuff we talked about around automation and that kind of thing. We're definitely interested in how Pure is going to evolve to the cloud because we know you all we be ahead of us I say you all, so you all will be ahead of us whenever we do get ready, and that's another big benefit for us. We know that when we get ready to transition to the cloud, you guys are going to have your ducks in a row, and be ready for us to do that. >> You all as in Pure? We all aren't Pure. >> You know what I meant. >> We're the blue guys. >> It's real exciting to hear about automation, And where they're going with the cloud, and storage as a service and that type of thing is very neat. I love reading about and hearing about that stuff, we can't always be there like I said because of compliance issues, but as we can, we will if it makes sense for us. >> How important is it to you, I was asking a couple of the Pure execs what their thoughts were on staying independent. You see a lot of storage companies get bought, they get consolidated. EMC, 20 plus billion they got acquired. How important is it to you as a customer to have a company like Pure be an independent storage company? >> I mean, it's enormous. I can give you an example. We were a SimpliVity customer so HP bought SimpliVity, our experience before the merger, fantastic. We would give them very high marks in every category. After the merger, not so much. Support dropped off for us after SimpliVity was bought by HP. For us it's huge that Pure is, now that's not to say, we know that this is a business, and that things may happen, but we hope that if they don't stay independent, somebody that has the same level of focus and effort and determination and support keeps that going. >> We hope so too, we love the competition on theCUBE. We love the growth that drives innovation. Pure seems to be leading the way. We talked about this earlier, what they're doing with NVME a lot of good marketing, but still they're throwing down the gauntlet. What they've done with Evergreen. Obviously first with AllFlash or at least early on with AllFlash, so got a leader. >> That's what you worry about too, the Evergreen type things are the things you worry about going away. If they get bought by somebody, is that the first casualty? That's the kind of things that happen to companies when they get bought. We do love the fact that they are independent, but we know it's a business at the end of the day. But hopefully that remains the same. >> Keep that feedback coming, I'm sure they appreciate that. And Patrick thanks so much for stopping by theCUBE and sharing the impact that you guys are making at the Mississippi Department of Revenue. >> Sure, thanks for having me, appreciate it. >> We want to thank you for watching theCUBE, I'm Lisa Martin with Dave Vellante from Pure Accelerate 2018. Stick around we'll be right back with our next guest.

>> Announcer: Live from San Francisco it's The Cube covering Pure Accelerate 2017. Brought to you by Pure Storage. >> Welcome back to Pier 70 in San Francisco everybody. This is The Cube, the leader in live tech coverage. I'm Dave Vellante with my cohost Stu Miniman. Ray Smith is here. He is the Assistant Director for Technology at the Mississippi Community College Board. Ray, thanks for coming to The Cube, it's good to see you. >> Glad to be here. >> We were having a good conversation off camera. Tell us a little bit about the college board. >> Well, Mississippi Community College Board is... We are the board that coordinates with the 15 community colleges in the state of Mississippi. Part of our job is to make sure that enrollment figures are taken care of. We look at budgets, we work with the legislature, and more importantly we work with the community colleges in helping to develop good outcomes for our students. >> Okay, so it's obviously a public institution, public funded, you've got a responsibility to report to the public. Do you also have responsibility for, well what services do you have responsibility for? You said enrollment, but.. >> I am, for instance, I'm responsible for a statewide network. The community colleges are a little different than some entities in that we have a shared network. In which all 15 community colleges they are connected back to the board office. We act as the ISP for the colleges. The colleges submit data to us. We also have in place a longitudinal data system in the state of Mississippi in which we collect information and we report that information up the line for our longitudinal data. But more importantly what we do is that we count students and we pay based upon enrollment. >> Community colleges play such a critical role today in education. Which we all know, anybody who has kids know how expensive it is to educate. And the colleges are way more open these days about accepting community college student transfers, allowing students to take summer classes at community colleges. My son, for instance, goes to GW, he's taking some math classes at community college. It really helps address the cost. It helps people who aren't ready to go to college. Talk a little bit about the mission and the role that your college plays. >> Our system, or the board office, what we do again is that we coordinate each community college as a separate entity amongst themselves, governed by a local board. But from the state level, we administer the payment based upon students. And one of the things that we do is we're heavily involved in the workforce. That's a real big issue in our system right now. To train more people for the jobs that we're trying to bring in to Mississippi. In addition to that, we have strong academics in which our students take two year academic courses that transfer to our universities. But more than anything our purpose is to try to make a better Mississippi, in providing our services, education and training to the people of Mississippi. >> You're a feeder system, in essence. It's a fast turnover, it's a two year cycle. So your job of enrollment has a lot of pressure on it. Now what kind of pressure does that put on the technology infrastructure. >> Well, a couple of things. Number one, community colleges are education based institutions but at the same time, people come there because of the lifestyle. Because coming out of high school, a lot of students aren't quite ready for the big universities. So, they come to the community colleges looking for a lot of the things that they have at home. Internet, fast internet, for instance, and also the ability to.. (laughs) that's the big one, and also the ability to have online classes where they don't have to come on campus or so forth. But our students want everything that the major universities have and they want everything they're used to as home as well as within coming out of K-12. >> Okay, so, let's get into the relationship with Pure Accelerate, let's talk about it. What led you to them? Talk about your journey, give us the before and after. >> Well, first of all, I have a real small staff at our agency, and we have a lot of big things to do. >> Dave: What's small? >> Small, three people including myself. >> Oh wow, for 15 colleges? >> 15 colleges for a statewide network, etc, etc. What we were looking for was a system that would allow us to bring all of our technical resources into a smaller unit. We looked at the converge systems of some other competitors to Pure early on. And what we were really wanting to see and what we needed help with was more of a technical infrastructure more than anything. But what we found, it was way too complex. And it actually required all of the additional services that you received in terms of technical support. When we moved to Pure, we looked at the Pure Storage, and one of the main reasons we did that was our current system was coming up for renewal. The renewal itself was triple what it was the year before. >> Dave: The maintenance renewal? >> The maintenance renewal. And it was the traditional forklift. We weren't ready to forklift. So looking at Pure, what we were looking for was number one, simplicity, we were looking for more speed, we were looking for all of those things that would make life easier for us. What we ended up getting was a situation where we were able to purchase the Pure array for the cost of maintenance of what we were looking at before. >> Dave: Wow. >> The cost of mainenance. We got the Pure array with three year maintenance on it. So it was a no brainer from our standpoint. >> And let me just put a point on that. When you say simplicity a lot of people what they say, "Oh well, give you more time to work, "but you're going to pay for it more upfront." But you're saying from a capital expense standpoint this was now a savings for you compared to keeping your old gear. >> Understand this, the Pure array is the first piece of technology equipment that I've ever purchased that would not be classified as an expense. It's an investment, simple as that. Because what we purchased, we will not have to throw it out when we upgrade. We simply, as we saw today in the presentation, we upgrade our software, we get same pieces and parts in place. It is, it's an investment. >> Can you walk us through that a little bit? Because you've got the full converged infrastructure solution. Were you using Cisco before or was that something you added? >> I was using Cisco from a UCS standpoint. But I was using another manufacturer's storage. We actually, we moved to the flat stack on our first conversion we kept our UCS, but we removed the storage and our converted it all to a flat stack. Then we subsequently purchased an additional flat stack. But what it has bought us is exactly what you mentioned earlier. We now have time to do things as opposed to just being a technology person. >> Ray, one thing when you talk about upgrades. You've got your computer, your storage, and your network. Storage sounds like you can upgrade it and move there, with converge you can upgrade it. Your network, too? Because network tends to be install it and don't breathe on it because I don't want to mess it up. So, does the full solution get upgraded or how do you manage it? Do you manage it as a stack or as the individual components? >> We manage our stack itself. Now from the infrastructure standpoint of what we do with internet service, that's handled with another piece of equipment. But we were able to number one, shut down two full racks of storage equipment down to four U, roughly. And it's changed our whole costing structure inside of our data center. The data center is much cooler. And of course, the whole support piece of it is just unbelievable. There's no one coming in to replace blades every other week. >> I was going to say, too. It had to have an IT labor impact. So what would you have done? You've got a small staff. It's yourself plus three individuals, correct? >> Ray: That's correct. >> What would you have done if you didn't get there? Would you just have to work more nights and weekends? >> That's what we would have done. We would have continued to do that. >> Dave: And you were doing that? >> That's what we were doing. >> Is it fair to say you got a lot of your nights and weekends back? >> Absolutely. >> So, presumably, people are more productive during the day. They're happier because they have more time with their families. >> Absolutely, and access to our data is a lot quicker than it was before. >> So, working less, you get more done. >> Correct. >> That's a good do more with less story, right? Because usually do more with less means you figure out how to work nights and weekends. I mean you remember that cycle of 20, ten, 15 years of hell after the dot come burst. It was like do more with less, do more with less, do more with less. And all it meant was more hours for IT people. I guess we hit the breaking point, and now technology's got us into this problem. Is technology finally getting us out of this problem? >> From our standpoint, it is solved. At least 50% of man hours that we have been using just to keep our systems up and running. Now I work it all from one pane of glass or from my cell phone. >> And here's the thing. What value did that really provide, that extra nights and weekends, to the organization? I guess the value was, if it didn't get done, IT would fail, was the value. But it wasn't incremental value, right? >> Well, what we've been able to do is move more into the job responsibilities that are actually there more along with the technical side. >> Dave: So the strategic stuff? >> Absolutely, I have a developer now that can spend his whole time developing as opposed to responding to some error message on a hard drive or whatever. >> I'll make a prediction. I think it was, it might have been Greenspan, but he said during the 80's, we all went to PC's, they said you see the productivity numbers aren't up ticking. But we're spending all of this money on technology, but you don't see it in the productivity numbers. And of course in the 90's we had this productivity boom. You're kind of seeing some flatness in productivity, but the stories that we get like this, I think we're going to have another boom. Do you feel that way as a technology practitioner? >> Absolutely. Even myself, I deal more with the infrastructure so far as our servers and so forth. I have time to do a whole bunch of things. We're redesigning, for instance, our websites. We're doing a lot of other things now that honestly we didn't have time to do. >> And I think that's a big factor in the flash. It's not just speed. >> Yeah, and Dave, it's something we've been talking about for years, some of the MIT guys. As automation and tools and platforms are actually going to free us up to do more. Stories like your developer wasn't developing and now they are. So, yeah, what are you seeing that's going to enable you to do even more? Is there anything you're asking for from the community that, either some announcements you've seen this week or other things you're looking for? >> Believe it or not, the announcement that I just heard today about the active active scenario, that's it. I have two data centers. >> The multi site replication? >> Absolutely. >> You used to work at EMC in the heyday and they referenced it today. SRDF was kind of the gold standard, expensive, complicated... >> Stu: In 1994 >> Dave: But it changed the business. What I heard, and maybe you alpha geeks can help me, but what I heard is that we're going to dramatically simplify that whole process. So, that's what you heard, but add some color to that. What does that mean for you? >> What that means for me is now my two sites will operate as one. And that I actually have a real active active configuration that I'm not afraid if something goes down that the other one's not going to be there. I don't have to go through the process of rebuilding on the other side because it's all automatic. There are a number of things that were said that if you understood what we have gone through in the past couple of years in working, trying to get together an active active environment, it was just like the creation of fire, as far as I'm concerned. >> It's something we've had in storage forever. The reason we over provision and get such low utilization is because if I have a failure or something goes wrong. If something's a little slow, I have trouble. If I go down, I'm out of a job. >> The traditional vendors weren't able to solve this problem for you. I mean they've been trying for a while, right? But you didn't see anything from those guys. >> If you attempted to do that using hardware base, using software base, it's more than just a notion. I have reasonable assurances, based on what I've seen with Pure that it is going to be as straightforward and as simple as they have described. >> That's great. Alright, Ray, give you the last word. Pure Accelerate, where you here last year? >> Ray: I was not here last year. >> So this is your first year? >> This is my first year, and it's great, it's wonderful. >> Are there things you are seeing that are interesting to you? >> Absolutely, everything, everything. >> Why do you come to these shows? >> Well, number one, I come to learn something new. I like to hear about the announcements number one. And I like to be able to have the opportunity to meet some of the people who actually building, designing, writing the source code for this stuff. It's amazing. >> I got to ask you a personal question. You shared with me you like to funkify, you're a bass player, do you play in a band? >> My band is getting back together for kind of a short reunion here. We have some roots that go back to hip-hop. And it'll be interesting to see Snoop tomorrow night. >> That's awesome, fantastic. Well, Ray, thank you so much for coming to The Cube. >> Appreciate it, appreciate it. >> Alright, keep right there and we'll be back with our next guest. Right after this short break, this is The Cube, we're live from Pure Accelerate 2017 in San Francisco. We'll be right back. (exciting music)

>>Hello and welcome back to the cubes live coverage of A W. S. Public sector summit. I'm john Kerry hosting CUBA. We're live in Washington D. C. For two days, an actual event with an expo floor with real people face to face and of course we're streaming it digitally on the cube and cube channels. And so our next guest, Mark Francis chief digital health integration officer Electronic caregiver, Mark great to see you tech veteran and former intel back in the day. You've seen your ways of innovation. Welcome to the cube. >>Thanks so much. It's a pleasure to be here. >>So we were talking before we came on camera about all the innovation going back in the computer industry but now with health care and delivery of care telemedicine and how the structural systems are changing and how cloud is impacting that. You guys have an interesting solution on AWS that kind of, to me connect the dots for many tell us what you guys do and take us through the product. >>Sure. Happy to do so uh our company is electronic caregiver were actually founded back in 2009. We're based in Los cruces new Mexico so off the grid. Um but since that time we have been spending a lot of time and money doing foundational R and D pilots and product development work. Really say how do you bridge that chasm between the doctor's office and the patient home in a way that you can put a patient facing device and equipment in a patient's home that's going to drive high level of engagement, obtain actionable curated data that's presented out to caregivers and the caregivers can then act upon that to help direct and deliver high quality care. >>So basically is the future of medicine, >>the future of medicine. Right. Right. We look at medicine, we look at the future of medicine as being a hybrid model of in person care plus remote care. And we really see ourselves at the epicenter of providing a platform to help enable that. >>You know the big story here at the public sector. Some and we've been reporting on a digitally for the previous year is the impact the pandemic has had on the industry and and not just normal disruption, you know technology and start ups, disruption happens, structural changes being forced upon industries by the force majeure. That is the pandemic education, health care and so video and data and connected oriented systems are now the thing structurally that's changing it. That's causing all kinds of business model, innovations and challenges. Yeah. What's your take on that? Because this is real. >>Yeah. It is real. It it's funny that this is actually my third digital health company. Um First one was in in uh Silicon Valley early remote patient monitoring company. We end up selling it to bosh uh when I joined intel to be part of our digital health group, we did that for five years and ended a joint venture with G. E. So people have been playing around in remote patient monitoring telehealth for some time until the pandemic though there wasn't really a strong business model to justify scaling of these businesses. Um uh the pandemic change that it forced adoption and force the government to allow reimbursement coach as well. And as a result of that we've seen this pure if aeration of different product offering service offerings and then payment models around telehealth broadly speaking >>well since you started talking the music started cranking because this is the new music of the industry, we're here on the expo floor, we have face to face conversations going on and uh turn the music down. Hey thanks guys, this is a huge thing and I want to uh highlight even further what is the driver for this? Because is it, I mean actually clouds got some benefits but as you guys do the R. And D. What's going on with what's the key drivers for medicine? >>Yeah, I would take two things from a from a technology perspective, the infrastructure is finally in place to enable this type of charity distance before that it really wasn't there now that's there and the products that folks are used are much more affordable about the provider's side and the patient side. The main driver is um uh there's a lot of underlying trends that were happening that we're just being ignored Whether it was 50% non adherence to treatment plans, massive medication mismanagement um lack of professional and informal caregivers, all those things were kind of happening underneath the surface and then with Kobe, it all hit everybody in the phase. People started using telehealth and then realize, hey, we can deliver high quality care, we can deliver value based care mixed with a hybrid model of tele care plus patient care. And it turned out that, that, that works out well. So I think it's now a realization that tell care not only connects patients but solve some of these other issues around adherents, compliance, staffing and a number of other >>things and that this is a structural change we were talking about. Exactly. All right, So talk about amazon, what do you guys are doing on AWS? How's that all work? >>That's working out great. So as we, as we launch at a 2.0, we built it on 24 foundational aws and Amazon services. It's a serverless architecture, um, uh, which is delivered. What enables us to do is we have a whole bunch of different patients facing devices which we now integrate all into one back end through which we can run our data analytics are machine learning and then present curated actual data to the providers on top of that. We've also been developing a virtual caregiver that's really, really innovative. So we're using the unity engine to develop a very, very realistic virtual caregiver that is with the patient 24 hours a day in their home, they develop a relationship with that individual and then through that they can really drive greater you know more intimate care plan and a more intimate relationship with their human caregivers that's built using basic technology behind Alexa pauline lacks as well as IOT core and a lot of other ai ml services from from amazon as well. >>Not to get all nerdy and kind of seeking out here because under the hood it's all the goodness of amazon. We've got a server list, you got tennis is probably in there doing something who knows what's going on there, You've got polly let's do this and that but it also highlights the edge the ultimate network edges the human and if you've got to care for the patient at home or wherever on the run whatever. Yeah you got to get the access to the data so yeah I can imagine a lot of monitoring involved too. Yeah can you take us through how that works? >>Yeah and for us we like to talk about intelligence as opposed to data because data for data sakes isn't actionable. So really what can we do through machine learning and artificial intelligence to be able to make that data more actionable before the human caregiver because you're never going to take a human out of the equation. Uh But uh we had a lot of data inputs, they're both direct data inputs such as vital signs, we also get subtle data input. So with our with our uh with Addison or virtual caregiver uh the product actually come to the camera away from intel called the real sense cameras. And with that we get to see several signs of changes in terms of gate which might be in the indicative of falls risk of falls. We can see body temperature, pulse, heart rate, signs of stress, lack of sleep. Maybe that's a sign of uh adverse reaction to a new medication. There's a bunch of different direct and indirect inputs. We can take run some analysis against and then say hey there's something here you might want to look at because it might be indicating a change in health. >>So this is where the innovation around these bots and ai come in because you're essentially getting pattern matching on other signals you already know. So using the cameras and or sensors in to understand and get the patients some signaling where they can maybe take action call >>fun or Yeah, that's exactly. And the other thing we get, we get to integrate information related to what are called social determinants of health. So there's a whole body of research now showing that 65% of someone's health is actually driven by non clinical issues. So again issues of food security, transportation, access to care, mental health type issues in terms of stress and stuff like we can start gathering some of that information to based upon people's behaviors or for you to assessments which can also provide insights to help direct care. >>So maybe when I'm doing the Cuban reviews, you guys can go to work and look at me. I'm stressed out right now, having a great time here public sector, this is really cool. So take a minute to explain the vision. What does this go from here? I'll see low hanging fruit, telemedicine, check data, observe ability for patient for optimizing care, check what happens next industry disruption, what how these dominoes have been kind of fall? >>Yeah, for us uh we really are seeing more providers and more payers system. Integrators looking now to say how do I put together a comprehensive solution from the doctor's office to inpatient hospital to home that can remove it. A lot of barriers to care addi which is our platform is designed to be interoperable to plug into electronic health care systems, whether it's Cerner, Epic or Athenahealth, whatever it might be to be able to create that you pick us seamless platform for provider to use. We can push all of the data to their platform if they want to use that or they could use our platform and dashboard as well. We make it available to healthcare providers but also a lot of people are trying to age in place and they're getting treated by private duty providers, senior housing providers and other maybe less clinical caregivers. But if you're there every day with somebody you can pick up signs which might prevent a major health episode down the road. So we want to close that circle our our vision is how do we close the circle of care so that people get the right information at the right time to deliver the right >>care. So it's kind of a health care stack of a new kind of stack. So I have to ask you if there was an eye as pass and sass category um infrastructure as a service platform as a service. And then says it sounds like you guys are kind of combine the lower parts of the stack and enable your partners to develop on top of. Is that how it >>works? Yes it does. Yeah. Yeah. So with addie, the interesting thing that we've done it's designed to have open a P. I. For a lot of modules as well. So if we're working with the american Heart Association and we want to do a uh cardiac care module from using their I. P. We could do that if we want to integrate with Uber health or lift we could do that as well if we want to do something in the amazon and pill pack, it's a plug in that we could do that. So if I'm a patient or or a loved one at home instead of going to 10 different places or use our platform and then pull up four different apps. Everything can be right there at their fingertips. You can either do it by touch or you can use this voice because it's all a voice or a touch of interaction. >>So just because I'm curious and and and for clarification, the idea of going past versus SAS platform versus software as a service is why flexibility or customization? Why not go SAS and be a SAS application? >>Uh we've talked mostly about, we've we've gone back and forth platform as a service or infrastructure as a service. So that's more the debate that we've had. It's more about the scalability that we can offer. Um uh not just in the United States, but globally as well. Um and really that's really the thing that we've been looking at, especially because there's so many different sources of data, if you want to provide high quality care that needs to be integrated. We want to make sure that we created a platform, not just for what we provide but for what others in the environment can provide. >>So you really want to enable other people to create that very much layer on top of you guys, do you have out of the box SAS to get people going or is that just >>With the release of adding 2.0, now we do. So now folks go to our website and they contact our development those tools and and those libraries are available. >>Now, this is an awesome opportunity. So for people out there who are wanting to innovate on you, they can just say, okay, I'll leverage your the amazon web services of healthcare essentially. >>That's a nice bold ambitious statement. Yeah, but I mean kind of but if we if we can achieve that, then we'd be quite happy and we think the industry, you're gonna partner >>benefit of that. It's an ecosystem play. Exactly, yeah. It's kind of like. >>Yeah, yeah, yeah, yeah. And for us, what we do covert is a perfect example going back to that. So when Covid hit um were based in las cruces, new Mexico last winter lost crew system to el paso and overwhelmed. They're at capacity. Different health care systems came to us, they asked if we partner with them to deliver a basically a triage program for folks that were coming into the er with Covid. So we designed a Kobe at home programs. So you get diagnosed, get a kit, go home and using telehealth virtual visits, remote monitoring. Be able to stay healthy at home without doing community spread. And by making sure that you were being watched over by a care professionals 24 hours a day. We did that um worked with 300 people Malcolm would all of them said healthy. We were able to expand uh inpatient capacity by 77%. We saved the system over $6 million in in three months. We've now been asked and we're actually replicating that in Memphis now and then also we've been asked to do so down in Mississippi >>mark, great conversation. Uh real quick. I only I don't have much time left but I want to ask you, does this mean that we're gonna see a clip of proliferation of in home kind of devices to assist? >>Yeah, we will. Uh, what we've seen is a big pivot now towards hospital at home model of care. So you have providers saying, you know, I'll see you in my facility but also extend capabilities so I can see you and treat you at home as well. We've also seen a realization that telehealth is more than a than an occasional video visit because if all you're doing is replacing an occasional in person visit with an occasional video visit. You're not really changing things now. There's a whole different sensors ai other integrations that come together to be able to enable these different models >>for all the business school folks out there and people who understand what's going on with structural change. That's when innovation really changes. Yeah, this is structural change. >>Absolutely. >>Mark, thanks for coming on. Mark Francis chief Digital Health Integration Officer Electronic Caregiver here on the Q. Thanks. Coming >>on. Thank you. My pleasure. >>Okay, more coverage after this short break. I'm john Kerry, your host Aws public Sector summit, We'll be right back mm mm mm

>>Mhm >>Hello and welcome to today's session of the 2021 AWS Global Public Sector Partner Awards And I'm delighted to introduce our next guests. They are chris Saks Ceo of think stack and Michael Matthews President Ceo at mutual Credit Union. I'm your host for the cube Natalie. Ehrlich of course. And we're going to highlight the most impactful nonprofit partner award. Thank you gentlemen for joining the program. >>Thank you so much for having us. >>Terrific. Well delighted for you to be here. And Michael, I'd love to start with you. How did you figure out that cloud technology was critical to the future of mutual credit union? >>It's kind of by chance, Natalie, we're sitting down, we're looking at uh, racks of equipment in our I. T. Room and trying to keep everything up to date, um software updated, become a full time job and all of my staff and sat around and it come to a point where we were spending more time keeping upgrades, keeping servers upgraded. And we asked we reached out the things that they were a network provider at the time and we said, hey, whatever, what are our options? And they came back with several options and one of them was a W. S. And we explored it and uh we've not looked back. >>Terrific. Well, can you explain in further detail how you identified some of the gaps and what stood out to you about think stack, how this uh collaboration happened specifically? >>Well, some of the major gaps that you have is, you know, we're in Vicksburg Mississippi and I would say it's probably not the I. T mecca of the United States and staffing. What was a huge requirement for us if you're gonna make a move such as this, you've got to have the staffing and then along with the staffing is okay if you go out and we hire all these individuals to help help with this journey, are they going to become bored and you know, if we uh personally, if if I asked think stack, they would say, oh yes, don't do that hire us, but that's their job there, there there are parker vendor and so we went out, we asked other vendors that we use and what are the chances of us doing this and it was slim to none. And this type of technology you want, somebody who you can call and and all honesty, I want to be able to call chris and say chris, I'm having a problem versus, you know, one of my team called me and say we're having a problem, I'd rather call it and I love the vendor relationship. It has worked out well. Our major gaps in staffing though, Natalie >>what about staffing? >>That was our major gap. >>Oh God, it got it. Well, chris let's move on to you now. I'd love it if you could explain, you know, in some detail for our audience about the methodology of your company and also how you help your clients visualize their transformation processes. >>Yeah, for sure. Thanks Natalie. So we work with credit unions around the country and many of them are facing similar challenges to Michael at mutual. And in addition to staffing, they're often challenged with just the uncertain future of technology and that can include things like hurricanes, wildfires, various different disasters, pandemics and having to work remotely. But it also includes all of the opportunities that exist in transformative technologies for credit union. They need to keep pace with organizations like Robin Hood and stash and some of these other organizations that are providing cutting edge mobile apps and technology to their customers. And so how do you as an organization generally, that's a small nonprofit organization. How do you build the technology that will allow you to have a foundation to respond and react to whatever the world happens to throw actually, be that an opportunity to take advantage of for growth or some kind of risk from a cyber attack to a natural disaster. So what we try to do with our clients is take a very human centered approach first. And the idea behind that is to not walk in the door and talk about all the wonderful benefits of AWS or any other particular technology, but rather look at What do you expect. So if you take Michael, for example, you know, sitting down with him and trying to look out 10 years, what do you expect the industry to look like? What do you expect your organization to look like in? What goals do you have as a credit? You need to take advantage of those opportunities and to mitigate those risks. Once you identify those business needs, we can start looking at the humans that are involved in that experience. And so that would obviously be the employees and partners and vendors that support and make up the team at the credit union. And then obviously it's their current members and then any other members that they want to attract. And so you have to look at both sides of this. How how do you work securely efficiently? Um, as an employee on the flip side, how do you serve your members as well as you can serve them with cutting edge technology with technology that's always up and available. And then obviously with, with utmost security. So as we identify and build that picture, uh, we we generally do that with stick figures Natalie so we try to go in and and you know take um different personas and we use journey mapping and we use strategic foresight and various other exercise that help us uh literally paint a picture. Um and then from there we kind of back into that and say okay in order for you to accomplish these things into Have the organization that you want to have the next 10 years, what is your technology foundation and footprint need to look like to support that. And that's where we start to then back into that design which typically would include some type of public cloud services like AWS among other technologies from a cyber security perspective to build out that foundation and then allow them To respond and react to whatever the world throws at him over the next 10 years. >>Terrific. Well Michael would love to get your insight. How did you experience that human centered design focus, that think stack uh you know, is known for >>I think that's what says things take apart. You know, we there's numerous vendors you can go direct, there's there's plenty of software, there's plenty of technology out there you can buy. And as a credit union we can go out, we can just about get anything we wanted. But when we have a problem that we're trying to solve, it's not about that, it's about sitting down with chris his team and saying chris this this is a problem. We recently had one in password management, but we just this is a problem we're having. How do we solve this problem? And so the focus is not about trying to sell you another software. The focus is about solving the problem and having your staff and your team work more efficiently and effectively at their task. At the end of the day, you know, we're not arty people were in the financial service business. We rely on the solutions that we have to to help us do our jobs better and serve our members more effectively. >>Yeah, well, chris uh, you know, from your perspective, obviously human centered designed a really big component of your business, but what other key feature set your business apart from the competitive landscape? >>So I think the human centered design bleeds into another area that we really pride ourselves on, which is which is education and what I will call plain talk. So again, as Michael said, these organizations are our financial services, they're not technology experts, so you need to be able to communicate to those teams, those boards of directors, executive teams in a way that they can understand, and it can be uh somewhat difficult to talk about complex technical problems, um but when you boil it down back to that experience level, or you boil it down to a picture, it becomes a little easier to talk about. And what we want to be able to do as a partner is make sure our clients have confidence in the services or the products that they're purchasing, that they understand. How is this investment going to impact our credit union? How is this going to impact our members? And is this the right investment? It investments are, are significant. So we need to make sure that both parties understand the expectations of that investment and why they're doing that. So we take a lot of pride in the education and then probably the biggest piece uh and you know, it's one of those things that can be unappreciated, but its cybersecurity building, our infrastructure's with the tools and the processes and and the techniques so that everyone stays secure. I can tell you that there is nothing that would derail a digital transformation of an organization faster than a breach. So it's very important for us to make sure that those organizations, that everything that we do as fun as it is to talk about transformational technology equally as important that everything stays secure as we do it. >>Yeah. Well, excellent point. Certainly cybersecurity going to be a top uh topic for 2021 and beyond. Now, Michael, I'd like to move to you um what were the expected and unexpected business outcomes as a result of this partnership? >>Well, now we we we expected to have issues in the transition, which we really didn't um, I'll be honest with you, we we expected to have failures of servers. We expected stuff not to work because we were told by some of our other vendors that this will not work in a W S. Um and we were very surprised that most everything worked on AWS and it worked even better. Um some of the unexpected. So one of the main drivers of us moving to AWS was, I told you we had were limited on Rackspace I T room is when we want to implement a new service today, everything requires its own server. So everything needs an independent service, virtual server or physical server. We did not know how fast that could be done. So we would send a ticket in uh and we would say, hey, we need a new server here. The specs we're putting on this vendor, this is our time frame and we will get an email back the next morning. The servers ready to go where before? We weren't we didn't have that. That that was not an option. The main delay for new projects was to build up time and we weren't expecting that speech. No longer was that we all we expected that hey, we're not in a rush, but it'll be at least three months. And so now the team has to be ready to go as soon as you send the request in that we need this server is done uh and its speed up, speed up our time from uh, the idea our concept to going live with projects and we weren't that was something we had to get adjusted to. >>Yeah. And following up on that. What were some of the rational as well as the emotional impacts as a result of this collaboration? >>All right too. Two things and I don't know if they meet their, meet your that answer your question directly. But so one item we had in in a call, it's been several weeks back is when is the last time that anyone had to call it? Said, hey, I'm not working. My my can't access the server or I can complete dysfunction. And it's not been that way. We we've seen significantly improved up time, not only externally for our members who are logging in to do home banking or any other, any other feature, but internally for our staff we saw and I think it's just the entire transformation just made our company more resilient. What that was. I was as the metric we were seeing fewer instances of downtime. If we have downtown now, it's a power. We had an ice storm here in Mississippi, which is rare. Uh and we were down for a day. Um and if you lose internet today at any business you're down um The emotional side of I tell you, and it's been several years back on July four, we had a major major failure and our entire network was down and we this is prior to us moving to AWS and I'll just tell you I go home at night, this is the peace of mind that you can't put a dollar value on. I go home at night. And the last thing I'm worried about is my I. T. Network. I'm not worried about up time, I'm not worried about members, you know, going on facebook or any other social media and saying hey we can't we can't access your site what's going on and we don't have that anymore. And you know, I'm sure we could have had it any other way. But I leave that to the process of us moving from an in house holding everything on premise to moving to AWS, not only did it want to improve the results of those servers were able to back up to do different things, but it is to improve the overall working, working the functionality of our network. And I like I said I you can't put a dollar on this peace of mind and that is something I don't think there's any metric out there. You can measure, you can't measure that, but you know me and my team, we see it all the time. So >>Yeah, I agree, a peace of mind is certainly a priceless now Chris Let's move to you if you could outline to our audience some of the solutions that you provide, some of your other clients as well. Just give us a fuller picture of the services that you provide. Let's perhaps talk about, you know, 24/7 socks um services as well as data loss prevention or anything else that you think would be of interest to our audience? >>Yeah, for sure. So so obviously we I like to think of us like we design so we come in and we like to help you design and and figure out what your network needs to look like. That's not only your server and production network but also routing, switching. So Land Win S T Win various other networking projects equally. It's important that you can access the cloud as it is to move to the cloud, help with with productivity suite collaboration tools. Um and then finally, cyber security is a big part of that as well. So we try to come in and and look at all those things on the cybersecurity side. Very similar concept of what we do on the, on the cloud side, which is well design the tools and the infrastructure on the perimeter of the network, the configuration of any cloud environments, um such that they're secure and appropriate for your organization. Uh look at active directory or whatever organizational user management system you have to be using, implement those tools. Um and then as you mentioned, Natalie, we have a 24 x seven socks um with analysts watching that um that are all things that employees watching that board responding and reacting um using our our sin platform. And then we also have a 24 by seven uh network operations center or knocked. Um that is managing both the on site uh tools and network as well as any cloud uh networks that that they may have, keeping them up to date, doing all the routine maintenance, I will say from a cyber security perspective while it's not called the sock, the knock is just as important for cybersecurity as is the knock because we see that many cybersecurity attacks are often just taking advantage of systems that are not kept up to date. So the knock and that preventative maintenance is so important. So we do that for a lot of our clients. Some people pick and choose certain features. Some people use all of our services. >>Yeah. Terrific. Is that what you mean by security that's made to order? >>Yeah, exactly. Um you know, I think that's true of all technology. Um the biggest thing that we can do his look at the systems that you have during that design phase, we not only look at what technology should be should you be using, but also we take an assessment of your current team, What talent does your team have and where can we fill gaps if you have people that are doing security really well or you're doing preventative maintenance or some of these features? Uh Certainly you should keep that in house and we'll try to build services around those individuals that you have so that you're utilizing your talent to the best of your abilities and we're really fitting in um where you need us. >>Yeah. Terrific. Well, um you know, Michael, I'd like to shift to you now. What do you think will be the broader impact, you know, for the credit union industry? If others are not, you know, adopting the same kind of technologies um you know, to secure their cloud strategies. Mhm. >>I think whether credit unions want to or not, they're moving to the cloud. Um Most of our newest vendors are all cloud based. Um And so yes, he's either do it now or do it later. Which one do you want to be? And I do think that you're going to see more and more larger credit unions begin to move and it's scalable. It's more up time. It's easier to back up. A lot of people are hesitant. They don't want to take their information and move it out of town. They try to find a local data center are somewhere secure. And, and we looked at is what's the difference? You know, we, we we don't have latency issues with internet and fiber today. And so what is the difference of movement out of town and move to AWS by moving out of town? I still on the servers. I still leased the space. I still have to go over there. We have to have somebody there at all the time. And I'll be honest with you, I look at AWS as a trusted partner versus trying someone and then, and then it's not working locally and there's a lot of data centers you can, you can move to um I think I think it's going to come to the industry one way or the other. >>Yeah. Well, Terrific. Do you have any insight or you know, perhaps advice for another credit union who will, you know, like to take the next step? But, you know, as you mentioned, maybe a bit hesitant, >>I think doing your homework on it and looking at it as a, as a viable option is the first step. I know when I took it to my board and I talked about this um with chris and several people have so we we we talk about these things like the cloud, like it's this magical space and and our data is out there in Netherland and who knows where our data is. But when you break it down, you say, I have a East Coast data center and I have a West Coast data center. These are physical spaces where my dad is higher is held. Um I think it makes people think about a little differently. And and so when when you're if you're thinking about moving, if your if your in house today and you're thinking about how I'm gonna start outsourcing evaluate the cost, what are your ongoing cost, You know, who's gonna service you, Who's going to provide that service? And we've looked at other vendors over the years and I'll tell you, chris and his team have something unique that I found. Um I found very desirable in our situation is at our size and we're just under $300 million credit union. I don't think we have major projects that are too complicated to chris we're still, we're one of his better customers. I assume, chris me tell you something different in a minute, but we're not just a number, so I wouldn't go into a cube. You know, everybody knows each other. We're both small enough companies to where they're getting a lot bigger than we are now, but they're both small of companies where we're still, we we mean something to them, they care about moving to start versus just checking the box off. And so that's that's been our journey so far. Mhm. >>Yeah. Well, um, so, chris, uh, you know, first I want to know if Michael is one of your better customers, but uh, you know, really what I would I would really like to know is um, you know, what is your like, big sales pitch to? You know, as I mentioned to Michael, just some of those companies that are a little bit hesitant, a little bit on the edge. >>Michael is our best client of course because he's here doing this interview with us. No, um, you know, that that's something for us that are those, those human connections are, are, are so important and we do get very invested with any of the clients that we work with. But, um, in, in terms of the industry, I think Michael started to say at the beginning, which is, you're already there. We hear a lot of times from folks that they, I can't move to the cloud that the examiners or that the regulations do not allow them to be there. And that's, that's not true. Um, so what we're trying to do in partnership with KWS is educate the marketplaces as well as we can. Um, one of the biggest things that the cloud offers is this idea of flexibility and nimbleness and you know, unfortunately, I think Covid taught us that lesson, but there's, there's other lessons out there. I don't want to harp on Covid, I feel like that's all we talk about. Um, but if you look at any opportunity, whether it's a I machine learning, um, you know, Blockchain, pick the next technology, right? The reality is, none of us can really tell you where you're going to be in two years, maybe one year, three years, right? Like can you truly sit down after the past three years and tell me that you with no uncertainty, can tell me where your organization is going to be. And the reality is if you build your own data center right now, you have to make that guess Because you have to build something and designed for something and if you're making that investment, then you're doing that for the next probably 5-7 years. Whereas if you move to amazon you have the flexibility, whether that's scaling your organization up quickly, whether that's moving to the cloud, whether that's leveraging one of these technologies I just mentioned or in some cases even scaling back because things have hit a recession, we don't know what the future holds. But if you're in an environment like AWS, then you have the scalability and the flexibility to be able to move and pivot with that. And if you build your own and you happen to pick the wrong future, then then you could be in a bind and you've created your own limitations because you've decided to build for yourself. And I think that's the biggest thing is you can't build for yourself. You have to be flexible in this environment. That is that is the key. And the organizations that are flexible are the ones that are going to survive and thrive through all this uncertainty. Yeah. >>Well, really excellent point there. I totally agree with you. Wonderful to have you on our program. That was chris Saks Ceo of think stack as well as Michael Matthews, the president and Ceo at Mutual Credit Union. Thank you gentlemen for joining the show. Thanks so much. And that's all for this session of the AWS Global Public Sector Partner Awards. I'm your host Natalie or like thanks for >>watching. Mm.

>> Narrator: From around the globe. It's theCUBE with digital coverage of Exascale Day. Made possible by Hewlett Packard Enterprise. >> Welcome everyone to theCUBE's celebration of Exascale Day. Dr. Mark Fernandez is here. He's the HPC technology officer for the Americas at Hewlett Packard enterprise. And he's a developer of the spaceborne computer, which we're going to talk about today. Mark, welcome. It's great to see you. >> Great to be here. Thanks for having me. >> You're very welcome. So let's start with Exascale Day. It's on 10 18, of course, which is 10 to the power of 18. That's a one followed by 18 zeros. I joke all the time. It takes six commas to write out that number. (Mark laughing) But Mark, why don't we start? What's the significance of that number? >> So it's a very large number. And in general, we've been marking the progress of our computational capabilities in thousands. So exascale is a thousand times faster than where we are today. We're in an era today called the petaflop era which is 10 to the 15th. And prior to that, we were in the teraflop era, which is 10 to the 12th. I can kind of understand a 10 to the 12th and I kind of can discuss that with folks 'cause that's a trillion of something. And we know a lot of things that are in trillions, like our national debt, for example. (Dave laughing) But a billion, billion is an exascale and it will give us a thousand times more computational capability than we have in general today. >> Yeah, so when you think about going from terascale to petascale to exascale I mean, we're not talking about orders of magnitude, we're talking about a much more substantial improvement. And that's part of the reason why it's sort of takes so long to achieve these milestones. I mean, it kind of started back in the sixties and seventies and then... >> Yeah. >> We've been in the petascale now for more than a decade if I think I'm correct. >> Yeah, correct. We got there in 2007. And each of these increments is an extra comma, that's the way to remember it. So we want to add an extra comma and get to the exascale era. So yeah, like you say, we entered the current petaflop scale in 2007. Before that was the terascale, teraflop era and it was in 1997. So it took us 10 years to get that far, but it's taken us, going to take us 13 or 14 years to get to the next one. >> And we say flops, we're talking about floating point operations. And we're talking about the number of calculations that can be done in a second. I mean, talk about not being able to get your head around it, right? Is that's what talking about here? >> Correct scientists, engineers, weather forecasters, others use real numbers and real math. And that's how you want to rank those performance is based upon those real numbers times each other. And so that's why they're floating point numbers. >> When I think about supercomputers, I can't help but remember whom I consider the father of supercomputing Seymour Cray. Cray of course, is a company that Hewlett Packard Enterprise acquired. And he was kind of an eclectic fellow. I mean, maybe that's unfair but he was an interesting dude. But very committed to his goal of really building the world's fastest computers. When you look at back on the industry, how do you think about its developments over the years? >> So one of the events that stands out in my mind is I was working for the Naval Research Lab outside Stennis Space Center in Mississippi. And we were doing weather modeling. And we got a Cray supercomputer. And there was a party when we were able to run a two week prediction in under two weeks. So the scientists and engineers had the math to solve the problem, but the current computers would take longer than just sitting and waiting and looking out the window to see what the weather was like. So when we can make a two week prediction in under two weeks, there was a celebration. And that was in the eighties, early nineties. And so now you see that we get weather predictions in eight hours, four hours and your morning folks will get you down to an hour. >> I mean, if you think about the history of super computing it's really striking to consider the challenges in the efforts as we were just talking about, I mean, decade plus to get to the next level. And you see this coming to fruition now, and we're saying exascale likely 2021. So what are some of the innovations in science, in medicine or other areas you mentioned weather that'll be introduced as exascale computing is ushered in, what should people expect? >> So we kind of alluded to one and weather affects everybody, everywhere. So we can get better weather predictions, which help everybody every morning before you get ready to go to work or travel or et cetera. And again, storm predictions, hurricane predictions, flood predictions, the forest fire predictions, those type things affect everybody, everyday. Those will get improved with exascale. In terms of medicine, we're able to take, excuse me, we're able to take genetic information and attempt to map that to more drugs quicker than we have in the past. So we'll be able to have drug discovery happening much faster with an exascale system out there. And to some extent that's happening now with COVID and all the work that we're doing now. And we realize that we're struggling with these current computers to find these solutions as fast as everyone wants them. And exascale computers will help us get there much faster in the future in terms of medicine. >> Well, and of course, as you apply machine intelligence and AI and machine learning to the applications running on these supercomputers, that just takes it to another level. I mean, people used to joke about you can't predict the weather and clearly we've seen that get much, much better. Now it's going to be interesting to see with climate change. That's another wildcard variable but I'm assuming the scientists are taking that into consideration. I mean, actually been pretty accurate about the impacts of climate change, haven't they? >> Yeah, absolutely. And the climate change models will get better with exascale computers too. And hopefully we'll be able to build a confidence in the public and the politicians in those results with these better, more powerful computers. >> Yeah let's hope so. Now let's talk about the spaceborne computer and your involvement in that project. Your original spaceborne computer it went up on a SpaceX reusable rocket. Destination of course, was the international space station. Okay, so what was the genesis of that project and what was the outcome? So we were approached by a long time customer NASA Ames. And NASA Ames says its mission is to model rocket launches and space missions and return to earth. And they had the foresight to realize that their supercomputers here on earth, could not do that mission when we got to Mars. And so they wanted to plan ahead and they said, "Can you take a small part of our supercomputer today and just prove that it can work in space? And if it can't figure out what we need to do to make it work, et cetera." So that's what we did. We took identical hardware, that's present at NASA Ames. We put it on a SpaceX rocket no special preparations for it in terms of hardware or anything of that sort, no special hardening, because we want to take the latest technology just before we head to Mars with us. I tell people you wouldn't want to get in the rocket headed to Mars with a flip phone. You want to take the latest iPhone, right? And all of the computers on board, current spacecrafts are about the 2007 era that we were talking about, in that era. So we want to take something new with us. We got the spaceone computer on board. It was installed in the ceiling because in space, there's no gravity. And you can put computers in the ceiling. And we immediately made a computer run. And we produced a trillion calculations a second which got us into the teraflop range. The first teraflop in space was pretty exciting. >> Well, that's awesome. I mean, so this is the ultimate example of edge computing. >> Yes. You mentioned you wanted to see if it could work and it sounds like it did. I mean, there was obviously a long elapse time to get it up and running 'cause you have to get it up there. But it sounds like once you did, it was up and running very quickly so it did work. But what were some of the challenges that you encountered maybe some of the learnings in terms of getting it up and running? >> So it's really fascinating. Astronauts are really cool people but they're not computer scientists, right? So they see a cord, they see a place to plug it in, they plug it in and of course we're watching live on the video and you plugged it in the wrong spot. So (laughs) Mr. Astronaut, can we back up and follow the procedure more carefully and get this thing plugged in carefully. They're not computer technicians used to installing a supercomputer. So we were able to get the system packaged for the shake, rattle and roll and G-forces of launch in the SpaceX. We were able to give astronaut instructions on how to install it and get it going. And we were able to operate it here from earth and get some pretty exciting results. >> So our supercomputers are so easy to install even an astronaut can do it. I don't know. >> That's right. (both laughing) Here on earth we have what we call a customer replaceable units. And we had to replace a component. And we looked at our instructions that are tried and true here on earth for average Joe, a customer to do that and realized without gravity, we're going to have to update this procedure. And so we renamed it an astronaut replaceable unit and it worked just fine. >> Yeah, you can't really send an SE out to space to fix it, can you? >> No sir. (Dave laughing) You have to have very careful instructions for these guys but they're great. It worked out wonderfully. >> That's awesome. Let's talk about spaceborne two. Now that's on schedule to go back to the ISS next year. What are you trying to accomplish this time? >> So in retrospect, spaceborne one was a proof of concept. Can we package it up to fit on SpaceX? Can we get the astronauts to install it? And can we operate it from earth? And if so, how long will it last? And do we get the right answers? 100% mission success on that. Now spaceborne two is, we're going to release it to the community of scientists, engineers and space explorers and say, "Hey this thing is rock solid, it's proven. Come use it to improve your edge computing." We'd like to preserve the network downlink bandwidth for all that imagery, all that genetic data, all that other data and process it on the edge as the whole world is moving to now. Don't move the data, let's compute at the edge and that's what we're going to do with spaceborne two. And so what's your expectation for how long the project is going to last? What does success look like in your mind? So spaceborne one was given a one year mission just to see if we could do it but the idea then was planted it's going to take about three years to get to Mars and back. So if you're successful, let's see if this computer can last three years. And so we're going up February 1st, if we go on schedule and we'll be up two to three years and as long as it works, we'll keep computing and computing on the edge. >> That's amazing. I mean, I feel like, when I started the industry, it was almost like there was a renaissance in supercomputing. You certainly had Cray and you had all these other companies, you remember thinking machines and convex spun out tried to do a mini supercomputer. And you had, really a lot of venture capital and then things got quiet for a while. I feel like now with all this big data and AI, we're seeing in all the use cases that you talked about, we're seeing another renaissance in supercomputing. I wonder if you could give us your final thoughts. >> Yeah, absolutely. So we've got the generic like you said, floating point operations. We've now got specialized image processing processors and we have specialized graphics processing units, GPUs. So all of the scientists and engineers are looking at these specialized components and bringing them together to solve their missions at the edge faster than ever before. So there's heterogeneity of computing is coming together to make humanity a better place. And how are you going to celebrate Exascale Day? You got to special cocktail you going to shake up or what are you going to do? It's five o'clock somewhere on 10 18, and I'm a Parrothead fan. So I'll probably have a margarita. There you go all right. Well Mark, thanks so much for sharing your thoughts on Exascale Day. Congratulations on your next project, the spaceborne two. Really appreciate you coming to theCUBE. Thank you very much I've enjoyed it. All right, you're really welcome. And thank you for watching everybody. Keep it right there. This is Dave Vellante for thecUBE. We're celebrating Exascale Day. We'll be right back. (upbeat music)

>> Hello everyone. On today's panel, the theme is Drug Discovery and how Artificial Intelligence can make a difference. On the panel today, we are honored to have Dr. Ryan Yates, principal scientist at The National Center for Natural Products Research, with a focus on botanicals specifically the pharmacokinetics, which is essentially how the drug changes over time in our body and pharmacodynamics which is essentially how drugs affects our body. And of particular interest to him is the use of AI in preclinical screening models to identify chemical combinations that can target chronic inflammatory processes such as fatty liver disease, cognitive impairment and aging. Welcome, Ryan. Thank you for coming. >> Good morning. Thank you for having me. >> The other distinguished panelist is Dr. Rangan Sukumar, our very own, is a distinguished technologist at the CTO office for High Performance Computing and Artificial Intelligence with a PHD in AI and 70 publications that can be applied in drug discovery, autonomous vehicles and social network analysis. Hey Rangan, welcome. Thank you for coming, by sparing the time. We have also our distinguished Chris Davidson. He is leader of our HPC and AI Application and Performance Engineering team. His job is to tune and benchmark applications, particularly in the applications of weather, energy, financial services and life sciences. Yes so particular interest is life sciences he spent 10 years in biotech and medical diagnostics. Hi Chris, welcome. Thank you for coming. >> Nice to see you. >> Well let's start with your Chris, yes, you're regularly interfaced with pharmaceutical companies and worked also on the COVID-19 White House Consortium. You know tell us, let's kick this off and tell us a little bit about your engagement in the drug discovery process. >> Right and that's a good question I think really setting the framework for what we're talking about here is to understand what is the drug discovery process. And that can be kind of broken down into I would say four different areas, there's the research and development space, the preclinical studies space, clinical trial and regulatory review. And if you're lucky, hopefully approval. Traditionally this is a slow arduous process it costs a lot of money and there's a high amount of error. Right, however this process by its very nature is highly iterate and has just huge amounts of data, right it's very data intensive, right and it's these characteristics that make this process a great target for kind of new approaches in different ways of doing things. Right, so for the sake of discussion, right, go ahead. >> Oh yes, so you mentioned data intensive brings to mind Artificial Intelligence, you know, so Artificial Intelligence making the difference here in this process, is that so? >> Right, and some of those novel approaches are actually based on Artificial Intelligence whether it's deep learning and machine learning, et cetera, you know, prime example would say, let's just say for the sake of discussion, let's say there's a brand new virus, causes flu-like symptoms, shall not be named if we focus kind of on the R and D phase, right our goal is really to identify target for the treatment and then screen compounds against it see which, you know, which ones we take forward right to this end, technologies like cryo-electron, cryogenic electron microscopy, just a form of microscopy can provide us a near atomic biomolecular map of the samples that we're studying, right whether that's a virus, a microbe, the cell that it's attaching to and so on, right AI, for instance, has been used in the particle picking aspect of this process. When you take all these images, you know, there are only certain particles that we want to take and study, right whether they have good resolution or not whether it's in the field of the frame and image recognition is a huge part of this, it's massive amounts of data in AI can be very easily, you know, used to approach that. Right, so with docking, you can take the biomolecular maps that you achieved from cryo-electron microscopy and you can take those and input that into the docking application and then run multiple iterations to figure out which will give you the best fit. AI again, right, this is iterative process it's extremely data intensive, it's an easy way to just apply AI and get that best fit doing something in a very, you know, analog manner that would just take humans very long time to do or traditional computing a very long time to do. >> Oh, Ryan, Ryan, you work at the NCNPR, you know, very exciting, you know after all, you know, at some point in history just about all drugs were from natural products yeah, so it's great to have you here today. Please tell us a little bit about your work with the pharmaceutical companies, especially when it is often that drug cocktails or what they call Polypharmacology, is the answer to complete drug therapy. Please tell us a bit more with your work there. >> Yeah thank you again for having me here this morning Dr. Goh, it's a pleasure to be here and as you said, I'm from the National Center for Natural Products Research you'll hear me refer to it as the NCNPR here in Oxford, Mississippi on the Ole Miss Campus, beautiful setting here in the South and so, what, as you said historically, what the drug discovery process has been, and it's really not a drug discovery process is really a therapy process, traditional medicine is we've looked at natural products from medicinal plants okay, in these extracts and so where I'd like to begin is really sort of talking about the assets that we have here at the NCNPR one of those prime assets, unique assets is our medicinal plant repository which comprises approximately 15,000 different medicinal plants. And what that allows us to do, right is to screen mine, that repository for activities so whether you have a disease of interest or whether you have a target of interest then you can use this medicinal plant repository to look for actives, in this case active plants. It's really important in today's environment of drug discovery to really understand what are the actives in these different medicinal plants which leads me to the second unique asset here at the NCNPR and that is our what I'll call a plant deconstruction laboratory so without going into great detail, but what that allows us to do is through a how to put workstation, right, is to facilitate rapid isolation and identification of phytochemicals in these different medicinal plants right, and so things that have historically taken us weeks and sometimes months, think acetylsalicylic acid from salicylic acid as a pain reliever in the willow bark or Taxol, right as an anti-cancer drug, right now we can do that with this system on the matter of days or weeks so now we're talking about activity from a plant and extract down to phytochemical characterization on a timescale, which starts to make sense in modern drug discovery, alright and so now if you look at these phytochemicals, right, and you ask yourself, well sort of who is interested in that and why, right what are traditional pharmaceutical companies, right which I've been working with for 20, over 25 years now, right, typically uses these natural products where historically has used these natural products as starting points for new drugs. Right, so in other words, take this phytochemical and make chemicals synthetic modifications in order to achieve a potential drug. But in the context of natural products, unlike the pharmaceutical realm, there is often times a big knowledge gap between a disease and a plant in other words I have a plant that has activity, but how to connect those dots has been really laborious time consuming so it took us probably 50 years to go from salicylic acid and willow bark to synthesize acetylsalicylic acid or aspirin it just doesn't work in today's environment. So casting about trying to figure out how we expedite that process that's when about four years ago, I read a really fascinating article in the Los Angeles Times about my colleague and business partner, Dr. Rangan Sukumar, describing all the interesting things that he was doing in the area of Artificial Intelligence. And one of my favorite parts of this story is basically, unannounced, I arrived at his doorstep in Oak Ridge, he was working Oak Ridge National Labs at the time, and I introduced myself to him didn't know what was coming, didn't know who I was, right and I said, hey, you don't know me you don't know why I'm here, I said, but let me tell you what I want to do with your system, right and so that kicked off a very fruitful collaboration and friendship over the last four years using Artificial Intelligence and it's culminated most recently in our COVID-19 project collaborative research between the NCNPR and HP in this case. >> From what I can understand also as Chris has mentioned highly iterative, especially with these combination mixture of chemicals right, in plants that could affect a disease. We need to put in effort to figure out what are the active components in that, that affects it yeah, the combination and given the layman's way of understanding it you know and therefore iterative and highly data intensive. And I can see why Rangan can play a huge significant role here, Rangan, thank you for joining us So it's just a nice segue to bring you in here, you know, given your work with Ryan over so many years now, tell I think I'm also quite interested in knowing a little about how it developed the first time you met and the process and the things you all work together on that culminated into the progress at the advanced level today. Please tell us a little bit about that history and also the current work. Rangan. >> So, Ryan, like he mentioned, walked into my office about four years ago and he was like hey, I'm working on this Omega-3 fatty acid, what can your system tell me about this Omega-3 fatty acid and I didn't even know how to spell Omega-3 fatty acids that's the disconnect between the technologist and the pharmacologist, they have terms of their own right since then we've come a long way I think I understand his terminologies now and he understands that I throw words like knowledge graphs and page rank and then all kinds of weird stuff that he's probably never heard in his life before right, so it's been on my mind off to different domains and terminologies in trying to accept each other's expertise in trying to work together on a collaborative project. I think the core of what Ryan's work and collaboration has led me to understanding is what happens with the drug discovery process, right so when we think about the discovery itself, we're looking at companies that are trying to accelerate the process to market, right an average drug is taking 12 years to get to market the process that Chris just mentioned, Right and so companies are trying to adopt what's called the in silico simulation techniques and in silico modeling techniques into what was predominantly an in vitro, in silico, in vivo environment, right. And so the in silico techniques could include things like molecular docking, could include Artificial Intelligence, could include other data-driven discovery methods and so forth, and the essential component of all the things that you know the discovery workflows have is the ability to augment human experts to do the best by assisting them with what computers do really really well. So, in terms of what we've done as examples is Ryan walks in and he's asking me a bunch of questions and few that come to mind immediately, the first few are, hey, you are an Artificial Intelligence expert can you sift through a database of molecules the 15,000 compounds that he described to prioritize a few for next lab experiments? So that's question number one. And he's come back into my office and asked me about hey, there's 30 million publications in PubMag and I don't have the time to read everything can you create an Artificial Intelligence system that once I've picked these few molecules will tell me everything about the molecule or everything about the virus, the unknown virus that shows up, right. Just trying to understand what are some ways in which he can augment his expertise, right. And then the third question, I think he described better than I'm going to was how can technology connect these dots. And typically it's not that the answer to a drug discovery problem sits in one database, right he probably has to think about uniproduct protein he has to think about phytochemical, chemical or informatics properties, data and so forth. Then he talked about the phytochemical interaction that's probably in another database. So when he is trying to answer other question and specifically in the context of an unknown virus that showed up in late last year, the question was, hey, do we know what happened in this particular virus compared to all the previous viruses? Do we know of any substructure that was studied or a different disease that's part of this unknown virus and can I use that information to go mine these databases to find out if these interactions can actually be used as a repurpose saying, hook, say this drug does not interact with this subsequence of a known virus that also seems to be part of this new virus, right? So to be able to connect that dot I think the abstraction that we are learning from working with pharma companies is that this drug discovery process is complex, it's iterative, and it's a sequence of needle in the haystack search problems, right and so one day, Ryan would be like, hey, I need to match genome, I need to match protein sequences between two different viruses. Another day it would be like, you know, I need to sift through a database of potential compounds, identified side effects and whatnot other day it could be, hey, I need to design a new molecule that never existed in the world before I'll figure out how to synthesize it later on, but I need a completely new molecule because of patentability reasons, right so it goes through the entire spectrum. And I think where HP has differentiated multiple times even the recent weeks is that the technology infusion into drug discovery, leads to several aha! Moments. And, aha moments typically happened in the other few seconds, and not the hours, days, months that Ryan has to laboriously work through. And what we've learned is pharma researchers love their aha moments and it leads to a sound valid, well founded hypothesis. Isn't that true Ryan? >> Absolutely. Absolutely. >> Yeah, at some point I would like to have a look at your, peak the list of your aha moments, yeah perhaps there's something quite interesting in there for other industries too, but we'll do it at another time. Chris, you know, with your regular work with pharmaceutical companies especially the big pharmas, right, do you see botanicals, coming, being talked about more and more there? >> Yeah, we do, right. Looking at kind of biosimilars and drugs that are already really in existence is kind of an important point and Dr. Yates and Rangan, with your work with databases this is something important to bring up and much of the drug discovery in today's world, isn't from going out and finding a brand new molecule per se. It's really looking at all the different databases, right all the different compounds that already exist and sifting through those, right of course data is mind, and it is gold essentially, right so a lot of companies don't want to share their data. A lot of those botanicals data sets are actually open to the public to use in many cases and people are wanting to have more collaborative efforts around those databases so that's really interesting to kind of see that being picked up more and more. >> Mm, well and Ryan that's where NCNPR hosts much of those datasets, yeah right and it's interesting to me, right you know, you were describing the traditional way of drug discovery where you have a target and a compound, right that can affect that target, very very specific. But from a botanical point of view, you really say for example, I have an extract from a plant that has combination of chemicals and somehow you know, it affects this disease but then you have to reverse engineer what those chemicals are and what the active ones are. Is that very much the issue, the work that has to be put in for botanicals in this area? >> Yes Doctor Goh, you hit it exactly. >> Now I can understand why a highly iterative intensive and data intensive, and perhaps that's why Rangan, you're highly valuable here, right. So tell us about the challenge, right the many to many intersection to try and find what the targets are, right given these botanicals that seem to affect the disease here what methods do you use, right in AI, to help with this? >> Fantastic question, I'm going to go a little bit deeper and speak like Ryan in terminology, but here we go. So with going back to about starting of our conversation right, so let's say we have a database of molecules on one side, and then we've got the database of potential targets in a particular, could be a virus, could be bacteria, could be whatever, a disease target that you've identified, right >> Oh this process so, for example, on a virus, you can have a number of targets on the virus itself some have the spike protein, some have the other proteins on the surface so there are about three different targets and others on a virus itself, yeah so a lot of people focus on the spike protein, right but there are other targets too on that virus, correct? >> That is exactly right. So for example, so the work that we did with Ryan we realized that, you know, COVID-19 protein sequence has an overlap, a significant overlap with previous SARS-CoV-1 virus, not only that, but it overlap with MERS, that's overlapped with some bad coronavirus that was studied before and so forth, right so knowing that and it's actually broken down into multiple and Ryan I'm going to steal your words, non-structural proteins, envelope proteins, S proteins, there's a whole substructure that you can associate an amino acid sequence with, right so on the one hand, you have different targets and again, since we did the work it's 160 different targets even on the COVID-19 mark, right and so you find a match, that we say around 36, 37 million molecules that are potentially synthesizable and try to figure it out which one of those or which few of those is actually going to be mapping to which one of these targets and actually have a mechanism of action that Ryan's looking for, that'll inhibit the symptoms on a human body, right so that's the challenge there. And so I think the techniques that we can unrule go back to how much do we know about the target and how much do we know about the molecule, alright. And if you start off a problem with I don't know anything about the molecule and I don't know anything about the target, you go with the traditional approaches of docking and molecular dynamics simulations and whatnot, right. But then, you've done so much docking before on the same database for different targets, you'll learn some new things about the ligands, the molecules that Ryan's talking about that can predict potential targets. So can you use that information of previous protein interactions or previous binding to known existing targets with some of the structures and so forth to build a model that will capture that essence of what we have learnt from the docking before? And so that's the second level of how do we infuse Artificial Intelligence. The third level, is to say okay, I can do this for a database of molecules, but then what if the protein-protein interactions are all over the literature study for millions of other viruses? How do I connect the dots across different mechanisms of actions too? Right and so this is where the knowledge graph component that Ryan was talking about comes in. So we've put together a database of about 150 billion medical facts from literature that Ryan is able to connect the dots and say okay, I'm starting with this molecule, what interactions do I know about the molecule? Is there a pretty intruding interaction that affects the mechanism of pathway for the symptoms that a disease is causing? And then he can go and figure out which protein and protein in the virus could potentially be working with this drug so that inhibiting certain activities would stop that progression of the disease from happening, right so like I said, your method of options, the options you've got is going to be, how much do you know about the target? How much do you know the drug database that you have and how much information can you leverage from previous research as you go down this pipeline, right so in that sense, I think we mix and match different methods and we've actually found that, you know mixing and matching different methods produces better synergies for people like Ryan. So. >> Well, the synergies I think is really important concept, Rangan, in additivities, synergistic, however you want to catch that. Right. But it goes back to your initial question Dr. Goh, which is this idea of polypharmacology and historically what we've done with traditional medicines there's more than one active, more than one network that's impacted, okay. You remember how I sort of put you on both ends of the spectrum which is the traditional sort of approach where we really don't know much about target ligand interaction to the completely interpretal side of it, right where now we are all, we're focused on is, in a single molecule interacting with a target. And so where I'm going with this is interesting enough, pharma has sort of migrate, started to migrate back toward the middle and what I mean by that, right, is we had these in a concept of polypharmacology, we had this idea, a regulatory pathway of so-called, fixed drug combinations. Okay, so now you start to see over the last 20 years pharmaceutical companies taking known, approved drugs and putting them in different combinations to impact different diseases. Okay. And so I think there's a really unique opportunity here for Artificial Intelligence or as Rangan has taught me, Augmented Intelligence, right to give you insight into how to combine those approved drugs to come up with unique indications. So is that patentability right, getting back to right how is it that it becomes commercially viable for entities like pharmaceutical companies but I think at the end of the day what's most interesting to me is sort of that, almost movement back toward that complex mixture of fixed drug combination as opposed to single drug entity, single target approach. I think that opens up some really neat avenues for us. As far as the expansion, the applicability of Artificial Intelligence is I'd like to talk to, briefly about one other aspect, right so what Rang and I have talked about is how do we take this concept of an active phytochemical and work backwards. In other words, let's say you identify a phytochemical from an in silico screening process, right, which was done for COVID-19 one of the first publications out of a group, Dr. Jeremy Smith's group at Oak Ridge National Lab, right, identified a natural product as one of the interesting actives, right and so it raises the question to our botanical guy, says, okay, where in nature do we find that phytochemical? What plants do I go after to try and source botanical drugs to achieve that particular end point right? And so, what Rangan's system allows us to do is to say, okay, let's take this phytochemical in this case, a phytochemical flavanone called eriodictyol and say, where else in nature is this found, right that's a trivial question for an Artificial Intelligence system. But for a guy like me left to my own devices without AI, I spend weeks combing the literature. >> Wow. So, this is brilliant I've learned something here today, right, If you find a chemical that actually, you know, affects and addresses a disease, right you can actually try and go the reverse way to figure out what botanicals can give you those chemicals as opposed to trying to synthesize them. >> Well, there's that and there's the other, I'm going to steal Rangan's thunder here, right he always teach me, Ryan, don't forget everything we talk about has properties, plants have properties, chemicals have properties, et cetera it's really understanding those properties and using those properties to make those connections, those edges, those sort of interfaces, right. And so, yes, we can take something like an eriodictyol right, that example I gave before and say, okay, now, based upon the properties of eriodictyol, tell me other phytochemicals, other flavonoid in this case, such as that phytochemical class of eriodictyols part right, now tell me how, what other phytochemicals match that profile, have the same properties. It might be more economically viable, right in other words, this particular phytochemical is found in a unique Himalayan plant that I've never been able to source, but can we find something similar or same thing growing in, you know a bush found all throughout the Southeast for example, like. >> Wow. So, Chris, on the pharmaceutical companies, right are they looking at this approach of getting, building drugs yeah, developing drugs? >> Yeah, absolutely Dr. Goh, really what Dr. Yates is talking about, right it doesn't help us if we find a plant and that plant lives on one mountain only on the North side in the Himalayas, we're never going to be able to create enough of a drug to manufacture and to provide to the masses, right assuming that the disease is widespread or affects a large enough portion of the population, right so understanding, you know, not only where is that botanical or that compound but understanding the chemical nature of the chemical interaction and the physics of it as well where which aspect affects the binding site, which aspect of the compound actually does the work, if you will and then being able to make that at scale, right. If you go to these pharmaceutical companies today, many of them look like breweries to be honest with you, it's large scale, it's large back everybody's clean room and it's, they're making the microbes do the work for them or they have these, you know, unique processes, right. So. >> So they're not brewing beer okay, but drugs instead. (Christopher laughs) >> Not quite, although there are pharmaceutical companies out there that have had a foray into the brewery business and vice versa, so. >> We should, we should visit one of those, yeah (chuckles) Right, so what's next, right? So you've described to us the process and how you develop your relationship with Dr. Yates Ryan over the years right, five years, was it? And culminating in today's, the many to many fast screening methods, yeah what would you think would be the next exciting things you would do other than letting me peek at your aha moments, right what would you say are the next exciting steps you're hoping to take? >> Thinking long term, again this is where Ryan and I are working on this long-term project about, we don't know enough about botanicals as much as we know about the synthetic molecules, right and so this is a story that's inspired from Simon Sinek's "Infinite Game" book, trying to figure it out if human population has to survive for a long time which we've done so far with natural products we are going to need natural products, right. So what can we do to help organizations like NCNPR to stage genomes of natural products to stage and understand the evolution as we go to understand the evolution to map the drugs and so forth. So the vision is huge, right so it's not something that we want to do on a one off project and go away but in the process, just like you are learning today, Dr. Goh I'm going to be learning quite a bit, having fun with life. So, Ryan what do you think? >> Ryan, we're learning from you. >> So my paternal grandfather lived to be 104 years of age. I've got a few years to get there, but back to "The Infinite Game" concept that Rang had mentioned he and I discussed that quite frequently, I'd like to throw out a vision for you that's well beyond that sort of time horizon that we have as humans, right and that's this right, is our current strategy and it's understandable is really treatment centric. In other words, we have a disease we develop a treatment for that disease. But we all recognize, whether you're a healthcare practitioner, whether you're a scientist, whether you're a business person, right or whatever occupation you realize that prevention, right the old ounce, prevention worth a pound of cure, right is how can we use something like Artificial Intelligence to develop preventive sorts of strategies that we are able to predict with time, right that's why we don't have preventive treatment approach right, we can't do a traditional clinical trial and say, did we prevent type two diabetes in an 18 year old? Well, we can't do that on a timescale that is reasonable, okay. And then the other part of that is why focus on botanicals? Is because, for the most part and there are exceptions I want to be very clear, I don't want to paint the picture that botanicals are all safe, you should just take botanicals dietary supplements and you'll be safe, right there are exceptions, but for the most part botanicals, natural products are in fact safe and have undergone testing, human testing for thousands of years, right. So how do we connect those dots? A preventive strategy with existing extent botanicals to really develop a healthcare system that becomes preventive centric as opposed to treatment centric. If I could wave a magic wand, that's the vision that I would figure out how we could achieve, right and I do think with guys like Rangan and Chris and folks like yourself, Eng Lim, that that's possible. Maybe it's in my lifetime I got 50 years to go to get to my grandfather's age, but you never know, right? >> You bring really, up two really good points there Ryan, it's really a systems approach, right understanding that things aren't just linear, right? And as you go through it, there's no impact to anything else, right taking that systems approach to understand every aspect of how things are being impacted. And then number two was really kind of the downstream, really we've been discussing the drug discovery process a lot and kind of the kind of preclinical in vitro studies and in vivo models, but once you get to the clinical trial there are many drugs that just fail, just fail miserably and the botanicals, right known to be safe, right, in many instances you can have a much higher success rate and that would be really interesting to see, you know, more of at least growing in the market. >> Well, these are very visionary statements from each of you, especially Dr. Yates, right, prevention better than cure, right, being proactive better than being reactive. Reactive is important, but we also need to focus on being proactive. Yes. Well, thank you very much, right this has been a brilliant panel with brilliant panelists, Dr. Ryan Yates, Dr. Rangan Sukumar and Chris Davidson. Thank you very much for joining us on this panel and highly illuminating conversation. Yeah. All for the future of drug discovery, that includes botanicals. Thank you very much. >> Thank you. >> Thank you.

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

>>live from Copenhagen, Denmark. It's the Q covering Nutanix dot next 2019. Brought to you by Nutanix >>Welcome back, everyone to the cubes. Live coverage of Nutanix dot Next here at the Bella Centre in the Copenhagen. I'm your host, Rebecca Knight, coasting along side of stew, Minutemen were joined by Bala Coochie bottler >>Bhola. He is the VP GM Nutanix era and business critical lapse at Nutanix. Thanks so much for coming on the island. >>It's an honor to come here and talk to guys. >>So you were up on the main stage this morning. You did a fantastic job doing some demos for us. But up there you talked about your data, your days gold. And you said there are four p's thio the challenges of mining the burning process you want >>you want to go through >>those for our viewers? >>Definitely. So for every business, critical lab data is gold likely anam bigness for a lot of people are anyone. Now the question is like similar to how the gore gets processed and there's a lot of hazardous mining that happens and process finally get this processed gold. To me, the data is also very similar for business could collapse. Little database systems will be processed in a way to get the most efficient, elegant way of getting the database back data back. No. The four pains that I see for managing data businesses started provisioning even today. Some of his biggest companies that I talkto they take about 3 to 5 weeks toe provisions. A database. It goes from Infrastructure team. The ticket passes from infrastructure team, computer, networking stories, toe database team and the database administration team. That's number one silo. Number two is like proliferation, and it's very consistent, pretty much every big company I talkto there. How about 8 to 10 copies of the data for other analytics que year development staging Whatever it is, it's like over you take a photo and put it on. What Step and your friends download it. They're basically doing a coffee data. Essentially, that Fordham be becomes 40 and in no time in our what's up. It's the same thing that happens for databases, data bits gets cloned or if it's all the time. But this seemingly simple, simple operation off over Clone Copy copy paste operation becomes the most dreaded, complex long running error prone process. And I see that dedicated Devi is just doing Tony. That's another thing. And then lineage problem that someone is cloning the data to somewhere. I don't know where the data is coming from. Canister in The third pain that we talk about is the protection. Actually, to me it's like a number one and number two problem, but I was just putting it in the third. If you're running daily basis, and if you're running it for Mission critical data basis, your ability to restore the rhythm is to any point in time. It's an absolute must write like otherwise, you're not even calling The database. Question is, Are the technologies don't have this kind of production technology? Are they already taken care? They did already, but the question is on our new town expert from Are on Cloud platform. Can they be efficient and elegant? Can we can we take out some of the pain in this whole process? That's what we're talking about. And the last one is, ah, big company problem. Anyone who has dozens of databases can empathize with me how painful it is to patch how painful it is to get up get your complaints going to it. Holy Manager instead driven database service, this kind of stuff. So these are the four things that we actually think that if you solve them, your databases are one step. Are much a lot steps closer to database service. That's what I see >>Bala. It's interesting. You know, you spent a lot of time working for, you know, the big database company out there. There is no shortage of options out there for databases. When I talked to most enterprises, it's not one database they now have, you know, often dozens of databases that they have. Um so explain line. Now you know, there's still an unmet need in the marketplace that Nutanix is looking to help fill there. >>So you're absolutely right on the dark that there are lots of date of this technology is actually that compounds the problem because all these big enterprise companies that are specially Steadman stations for Oracle Post Grace may really be my sequel sequel administrator. Now they're new breed of databases in no sequel monger leave. You know, it's it's like Hardy Man is among really be somebody manage the Marta logics and stuff like that so no, we I personally eating their databases need to become seemed like Alex City. Right? So >>most of >>these banks and telcos all the company that we talk about data this is just a means to an end for them. So there should focus on the business logic. Creating those business value applications and databases are more like okay, I can just manage them with almost no touch Aghanistan. But whether these technologies that were created around 20 years back are there, there it kind of stopped. So that is what we're trying to talk about when you have a powerful platform like Nutanix that actually abstracts the stories and solve some of the fundamental problems for database upstream technologies to take advantage of. We combine the date of this FBI's the render A P s as well as the strength of the new tenants platform to give their simplicity. Essentially. So that's what I see. We're not inventing. New databases were trying to simplify the database. If that's what >>you and help make sure we understand that you know, Nutanix isn't just building the next great lock in, you know, from top to bottom. You know, Nutanix can provide it. But Optionality is a word that Nutanix way >>live and time by choice and freedom for the customers. In fact, I make this as one of the fundamental design principles, even for era we use. AP is provided with the database vendors, for example, for our men, we just use our men. AP is. We start the database in the backup, using our many years where we take that one day. It is the platform. Once the database in the backup more we're taking snapshots of the latest visit is pretty much like our men. Regan back up with a Miss based backup, essentially alchemist, so the customer is not locked in the 2nd 1 is if the customer wants to go to the other clothes are even other technologies kind of stuff? We will probably appear just kind of migrate. So that's one of the thing that I want to kind of emphasize that we're not here to lock in any customer. In fact, your choice is to work. In fact, I emphasize, if the customer has the the computer environment on the year six were more than happy weaken. Some 40 year six are his feet both are equal for us. All we need is the air weighs on era because it was is something that we leverage a lot off platform patent, uh, repentance of Nutanix technology that we're passing on the benefits canister down the road where we're trying to see is we'll have cyclists and AWS and DCP. And as you and customers can move databases from unpromising private cloud platform through hybrid cloud to other clusters and then they can bring back the data business. That's what we can to protect the customers. Investment. >>Yeah. I mean, I'm curious. Your commentary. When you go listen, toe the big cloud player out there. It's, you know, they tell you how many hundreds of thousands of databases they've migrated. When I talk to customers and they think about their workload, migrations are gonna come even more often, and it's not a one way thing. It's often it's moving around and things change. So can we get there for the database? Because usually it's like, Well, it isn't it easier for me to move my computer to my data. You know, data has gravity. You know, there's a lot of, you know, physics. Tell General today. >>See what what is happening with hyper killers is. They're asking the applications. Toby return against clothed native databases, obviously by if you are writing an application again, it's chlorinated. Databases say there are Are are are even DCP big table. You're pretty much locked technical because further obligation to come back down from there is no view. There's no big table on and there's no one around. Where is what we're trying to say is the more one APS, the oracles the sequels were trying to clarify? We're trying to bring the simplicity of them, so if they can run in the clover, they condone an art crime. So that's how we protect the investment, that there is not much new engineering that needs to be done for your rafts as is, we can move them. Only thing is, we're taking or the pain off mobility leveraging all platform. So obviously we can run your APS, as is Oracle applications on the public lower like oracle, and if you feel like you want to do it on on from, we can do it on the impromptu canister so and to protect the investment for the customers, we do have grown feeling this man, That means that you can How did a bee is running on your ex editor and you can do capacity. Mediation means tier two tier three environments on Nutanix using our time mission technology. So we give the choicest customers >>So thinking about this truly virtualized d be what is what some of the things you're hearing from customers here a dot next Copenhagen. What are the things that you were they there, There there Pain points. I mean, in addition to those four peas. But what are some of the next generation problems that you're trying to solve here? >>So that first awful for the customers come in acknowledges way that this is a true database. Which letters? I don't know what happened is what tradition is all aboard compute. And when when he saw the computer watch logician problem you threw in database server and then try to run the databases. You're not really solving the problem of the data? No, With Nutanix, our DNA is in data. So we have started our pioneered the storage, which location and then extended to the files and objects. Now we're extending into database making that application Native Watch Ladies database for dilation, leveraging the story published Combining that with Computer. What's litigation? We think that we have made an honest effort to watch less data basis. Know the trend that I see is Everyone is moving. Our everyone wants cloudlike experience. It's not like they want to go to club, but they want the cloud like agility, that one click simplicity, consumer, great experience for the data basis, I would liketo kind of manage my data basis in self service matter. So we took both these dimensions. We made a great we made an honest effort to make. The databases are truly watch list. That's the copy data management and olive stuff and then coupled with how cloud works able to tow provisions. Self service way ability to manage your backups in self service. Weigh heavily to do patch self service fair and customers love it, and they want to take us tow new engines. One of the other thing that we see beget Bronte's with ERA is Chloe's. Olive or new databases generally are the post press and the cancer, but there's a lot of data on site because there's a lot of data on Mississippi. Honey, there's a lot of data on TV, too. Why don't we enjoy the same kind of experience for those databases? What? What did they do wrong? So can we >>give >>those experience the cloud like experience and then true? Watch allegation for those databases on the platform. That's what customers ask What kind of stuff. Obviously, they will have asked for more and more, um, br kind of facilities and other stuff that way there in the road map that we will be able to take it off. One >>of the questions we've had this week as Nutanix build out some of these application software not just infrastructure software pieces, go to market tends to be a little bit different. We had an interesting conversation with the Pro. They're wrapping the service for a row so that that seems like a really good way to be able to reach customers that might not even knew no Nutanix tell us, you know, how is that going? Is there an overlay? Salesforce's it? Some of the strategic channel and partnership engagements, you know, because this is not the traditional Nutanix, >>So obviously Nutanix is known. Andi made its name and fame for infrastructure as service. So it's really a challenge to talk about database language for our salespeople. But country that I heard the doubt when I kind of started my journey It Nutanix Okay, we will build a product. But how are you going to the city? And we get off this kind of sales for But believe me, we're making multimillion dollar deals mainly led by the application Native Miss our application centric nous so I could talk about federal governments. And yes, she made perches because it was a different station for them. We're talking about big telco company in Europe trying to replace their big Internet appliances because era makes the difference vanished. We're providing almost two X value almost half the price. So the pain point is real. Question is, can we translate their token reconnect with the right kind of customer? So we do have a cell so early for my division. They speak database language. Obviously we're very early in the game, so we will have selected few people in highly dense are important geographic regions who after that, but I also work with channels, work with apartments like geniuses like we prove head steal another kind of stuff and down the best people to leverage and take this holding and practice. This is the solution. In fact, companies like GE S D s is like people take an offer. Managed database seven. Right. So we have a product. People can build a cloud with it. But with the pro they can offer in a word, why do you want to go to public Lower? I can provide the same cloud. Man is database service more on our picks, Mortal kind of stuff. So we're kind of off fighting on all cylinders in this sense, but very selectively very focused. And I really believe that customers fill understand this, Mrs, that Nutanix is not just the infrastructure, but it's a cloud. It's a It's a club platform where I considered arise like Microsoft Office Suite on Microsoft's operating system. Think about that. That's the part off full power that we think that I can make make it happen >>and who are you know, you said you're going in very tight. Who are these Target customers without naming names? But what kinds of businesses are they? You know? How big are they? What kinds of challenges. Are >>they looking at all? The early customers were hardly in the third quarter of the business, but five. Financial sector is big. The pain point of data mismanagement is so acute there capacity limitation is a huge thing. They are spending hundreds of millions of dollars on this big. When that kind of stuff on can they run in the can extract efficiencies out of this hole all their investment. Second thing is manufacturing and tell Cole, and obviously federal is one of the biggest friend of Nutanix and I happened to pitch in and religions is loaded. And they said, Israel, let's do it real demo. And then let's make it happen. They actually tested the product and there are taking it. So the e r piece, where are they? Run Oracle, Where the run big sequence kind of stuff. This is what we're seeing. It >>followed. Wanna make sure there was a bunch of announcements about era tudo Otto, Just walk us through real quick kind of where we are today. And what should we be looking for? Directionally in the future. >>So we started out with four are five engines. Basically, Andi, you know that Oracle sequel and my sequel post this kind of stuff, and we attacked on four problems this provisioning patching copy, data management and then production. But when we talked to all these customers on, I talked to see Ables and City Walls. They love it. They wanted to say that Hey, Kanna, how around more engines? Right? So that's one will live. But more importantly, they do have practices. They have their closest vehicles that they want to have single pane of management, off era managing data basis across. So the multi cluster capability, what we call that's like equal and a prison central which manage multiple excesses. They weren't error to manage multiple clusters that manage daily basis, right? That's number one. That's big for a product with in one year that we regard to that stage. Second thing was, obviously, people and press customers expect rule rule based access control. But this is data, so it's not a simple privilege, and, uh, you would define the roles and religious and then get it over kind of stuff. You do want to know who is accessing the data, whether they can access the data and where they can accident. We want to give them freedom to create clones and data kind of act. Give the access to data, but in a country manor so they can clone on their cure. Clusters there need to file a huge big ticket with Wait for two weeks. They can have that flexibility, but they can manage the data at that particular fear class. So this is what we call D a M Data access management. It's like a dam on the like construct on the river, control flow of the water and then channel is it to the right place and right. But since Canister, so that's what we're trying to do for data. That's the second big thing that we look for in the attitude. Otto. Obviously, there's a lot off interest on engines. Expand both relation in Cecil has no sequel are We are seeing huge interest in recipe. Hannah. We're going to do it in a couple of months. You'll have take review monger. Dubious. The big big guy in no sequel space will expand that from long. Would it be to march logic and other stuff, But even D B two insiders There's a lot of interest. I'm just looking for committed Customers were, weren't They are willing to put the dollars on the table, and we're going to rule it out. That's the beauty of fair that we're not just talking about. Cloud native databases Just force Chris and kind of stuff. What? All this innovation that happened in 30 40 years, we can we can renew them to the New Age. Afghanistan. >>Great. Well, Bala, thank you so much for coming on. The Cuba was >>Thank you. >>I'm Rebecca Knight for stew minimum. Stay tuned. For more of the cubes. Live coverage of Nutanix dot next.

>> Live from Toronto Canada, it's The Cube, covering Global Cloud and Blockchain Summit 2018, brought to you by The Cube. >> Hello, everyone welcome back to The Cube's live coverage here in Toronto for the first Global Cloud and Blockchain Summit in conjunction with the Blockchain futurist happening this week it's run. I'm John Fourier, my cohost Dave Vellante, we're here with Cube alumni, Bradley Rotter, pioneer Blockchain investor, seasoned pro was there in the early days as an investor in hedge funds, continuing to understand the impacts of cryptocurrency, and its impact for investors, and long on many of the crypto. Made some great predictions on The Cube last time at Polycon in the Bahamas. Bradley, great to see you, welcome back. >> Thank you, good to see both of you. >> Good to have you back. >> So I want to just get this out there because you have an interesting background, you're in the cutting edge, on the front lines, but you also have a history. You were early before the hedge fund craze, as a pioneer than. >> Yeah. >> Talk about that and than how it connects to today, and see if you see some similarities, talk about that. >> I actually had begun trading commodity futures contracts when I was 15. I grew up on a farm in Iowa, which is a small state in the Midwest. >> I've heard of it. >> And I was in charge of >> Was it a test market? (laughing) >> I was in charge of hedging our one corn contract so I learned learned the mechanisms of the market. It was great experience. I traded commodities all the way through college. I got to go to West Point as undergrad. And I raced back to Chicago as soon as I could to go to the University of Chicago because that's where commodities were trading. So I'd go to night school at night at the University of Chicago and listen to Nobel laureates talk about the official market theory and during the day I was trading on the floor of the the Chicago Board of Trade and the Chicago Mercantile Exchange. Grown men yelling, kicking, screaming, shoving and spitting, it was fabulous. (laughing) >> Sounds like Blockchain today. (laughing) >> So is that what the dynamic is, obviously we've seen the revolution, certainly of capital formation, capital deployment, efficiency, liquidity all those things are happening, how does that connect today? What's your vision of today's market? Obviously lost thirty billion dollars in value over the past 24 hours as of today and we've taken a little bit of a haircut, significant haircut, since you came on The Cube, and you actually were first to predict around February, was a February? >> February, yeah. >> You kind of called the market at that time, so props to that, >> Yup. >> Hope you're on the right >> Thank you. >> side of those shorts >> Thank you. >> But what's going on? What is happening in the capital markets, liquidity, why are the prices dropping? What's the shift? So just a recap, at the time in February, you said look I'm on short term bear, on Bitcoin, and may be other crypto because all the money that's been made. the people who made it didn't think they had to pay taxes. And now they're realizing, and you were right on. You said up and up through sort of tax season it's going to be soft and then it's going to come back and it's exactly what happened. Now it's flipped again, so your thoughts? >> So my epiphany was I woke up in the middle of the night and said oh my God, I've been to this rodeo before. I was trading utility tokens twenty years ago when they were called something else, IRUs, do you remember that term? IRU was the indefeasible right to use a strand of fiber, and as the internet started kicking off people were crazy about laying bandwidth. Firms like Global Crossing we're laying cable all over the ocean floors and they laid too much cable and the cable became dark, the fiber became dark, and firms like Global Crossing, Enron, Enron went under really as a result of that miss allocation. And so it occurred to me these utility tokens now are very similar in characteristic except to produce a utility token you don't have to rent a boat and lay cable on the ocean floor in order to produce one of these utility tokens, that everybody's buying, I mean it takes literally minutes to produce a token. So in a nutshell it's too many damn tokens. It was like the peak of the internet, which we were all involved in. It occurred to me then in January of 2000 the market was demanding internet shares and the market was really good at producing internet shares, too many of them, and it went down. So I think we're in a similar situation with cryptocurrency, the Wall Street did come in, there were a hundred plus hedge funds of all shapes and sizes scrambling and buying crypto in the fall of last year. It's kind of like Napoleon's reason for attacking Russia, seemed like a good idea at the time. (laughing) And so we're now in a corrective phase but literally there's been too many tokens. There are so many tokens that we as humans can't even deal with that. >> And the outlook, what's the outlook for you? I mean, I'll see there's some systemic things going to be flushed out, but you long on certain areas? What do you what do you see as a bright light at the end of the tunnel or sort right in front of you? What's happening from a market that you're excited about? >> At a macro scale I think it's apparent that the internet deserves its own currency, of course it does and there will be an internet currency. The trick is which currency shall that be? Bitcoin was was a brilliant construct, the the inventor of Bitcoin should get a Nobel Prize, and I hope she does. (laughing) >> 'Cause Satoshi is female, everyone knows that. (laughing) >> I got that from you actually. (laughing) But it may not be Bitcoin and that's why we have to be a little sanguine here. You know, people got a little bit too optimistic, Bitcoin's going to a hundred grand, no it's going to five hundred grand. I mean, those are all red flags based on my experience of trading on the floor and investing in hedge funds. Bitcoin, I think I'm disappointed in Bitcoins adoption, you know it's still very difficult to use Bitcoin and I was hoping by now that that would be a different scenario but it really isn't. Very few people use Bitcoin in their daily lives. I do, I've been paying my son his allowance for years in Bitcoin. Son of a bitch is rich now. (laughing) >> Damn, so on terms of like the long game, you seeing the developers adopted a theory and that was classic, you know the decentralized applications. We're here at a Cloud Blockchain kind of convergence conference where developers mattered on the Cloud. You saw a great developer, stakeholders with Amazon, Cloud native, certainly there's a lot of developers trying to make things easier, faster, smarter, with crypto. >> Yup. >> So, but all at the same time it's hard for developers. Hearing things like EOS coming on, trying to get developers. So there's a race for developer adoption, this is a major factor in some of the success and price drops too. Your thoughts on, you know the impact, has that changed anything? I mean, the Ethereum at the lowest it's been all year. >> Yup. Yeah well, that was that was fairly predictable and I've talked about that at number of talks I've given. There's only one thing that all of these ICOs have had in common, they're long Ethereum. They own Ethereum, and many of those projects, even out the the few ICO projects that I've selectively been advising I begged them to do once they raised their money in Ethereum is to convert it into cash. I said you're not in the Ethereum business, you're in whatever business that you're in. Many of them ported on to that stake, again caught up in the excitement about the the potential price appreciation but they lost track of what business they were really in. They were speculating in Ethereum. Yeah, I said they might as well been speculating in Apple stock. >> They could have done better then Ethereum. >> Much better. >> Too much supply, too many damn tokens, and they're easy to make. That's the issue. >> Yeah. >> And you've got lots of people making them. When one of the first guys I met in this space was Vitalik Buterin, he was 18 at the time and I remember meeting him I thought, this is one of the smartest guys I've ever met. It was a really fun meeting. I remember when the meeting ended and I walked away I was about 35 feet away and he LinkedIn with me. Which I thought was cute. >> That's awesome, talk about what you're investing-- >> But, now there's probably a thousand Vitalik Buterin's in the space. Many of them are at this conference. >> And a lot of people have plans. >> Super smart, great ideas, and boom, token. >> And they're producing new tokens. They're all better improved, they're borrowing the best attributes of each but we've got too many damn tokens. It's hard for us humans to be able to keep track of that. It's almost like requiring a complicated new browser download for every website you went to. We just can't do that. >> Is the analog, you remember the dot com days, you referred to it earlier, there was quality, and the quality lasted, sustained, you know, the Amazon's, the eBay's, the PayPal's, etc, are there analogs in this market, in your view, can you sniff out the sort of quality? >> There are definitely analogs, I think, but I think one of the greatest metrics that we can we can look at is that utility token being utilized? Not many of them are being utilized. I was giving a talk last month, 350 people in the audience, and I said show of hands, how many people have used a utility token this year? One hand went up. I go, Ethereum? Ethereum. Will we be using utility tokens in the future? Of course we will but it's going to have to get a whole lot easier for us humans to be able to deal with them, and understand them, and not lose them, that's the big issue. This is just as much a cybersecurity play as it is a digital currency play. >> Elaborate on that, that thought, why is more cyber security playing? >> Well, I've had an extensive background in cyber security as an investor, my mantra since 9/11 has been to invest in catalyze companies that impact the security of the homeland. A wide variety of security plays but primarily, cyber security. It occurred to me that the most valuable data in the world used to be in the Pentagon. That's no longer the case. Two reasons basically, one, the data has already been stolen. (laughing) Not funny. Two, if you steal the plans for the next generation F39 Joint Strike Force fighter, good for you, there's only two buyers. (laughing) The most valuable data in the world today, as we sit here, is a Bitcoin private key, and they're coming for them. Prominent Bitcoin holders are being hunted, kidnapped, extorted, I mean it's a rather extraordinary thing. So the cybersecurity aspect of if all of our assets are going to be digitized you better damn well keep those keys secure and so that's why I've been focused on the cybersecurity aspect. Rivets, one of the ICOs that I invested in is developing software that turns on the power of the hardware TPM, trusted execution environment, that's already on your phone. It's a place to hold keys in hardware. So that becomes fundamentally important in holding your keys. >> I mean certainly we heard stories about kidnapping that private key, I mean still how do you protect that? That's a good question, that's a really interesting question. Is it like consensus, do you have multiple people involved, do you get beaten up until you hand over your private key? >> It's been happening. It's been happening. >> What about the security token versus utility tokens? A lot of tokens now, so there's yeah, too many tokens on the utility side, but now there's a surge towards security tokens, and Greg Bettinger wrote this morning that the market has changed over and the investor side's looking more and more like traditional in structures and companies, raising money. So security token has been a, I think relief for some people in the US for sure around investing in structures they understand. Is that a real dynamic or is that going to sustain itself? How do you see security tokens? >> And we heard in the panel this morning, you were in there, where they were predicting the future of the valuation of the security tokens by the end of the year doubling, tripling, what ever it was, but what are your thoughts? >> I think security tokens are going to be the next big thing, they have so many advantages to what we now regard as share certificates. My most exciting project is that I'm heavily involved in is a project called the Entanglement Institute. That's going to, in the process of issuing security infrastructure tokens, so our idea is a public-private partnership with the US government to build the first mega quantum computing center in Newport, Rhode Island. Now the private part of the public-private partnership by the issuance of tokens you have tremendous advantages to the way securities are issued now, transparency, liquidity. Infrastructure investments are not very liquid, and if they were made more liquid more people would buy them. It occurred to me it would have been a really good idea if grandpa would have invested in the Hoover Dam. Didn't have the chance. We think that there's a substantial demand of US citizens that would love to invest in our own country and would do so if it were more liquid, if it was more transparent, if the costs were less of issuing those tokens. >> More efficient, yeah. >> So you see that as a potential way to fund public infrastructure build-outs? >> It will be helpful if infrastructure is financed in the future. >> How do you see the structure on the streets, this comes up all the time, there's different answers to this. There's not like there's one, we've seen multiple but I'm putting a security token, what am i securing against, cash flow, equity, right to convert to utility tokens? So we're starting to see a variety of mechanisms, 'cause you have to investor a security outcome. >> Yeah, so as an investor, what do you look for? >> Well, I think it's almost limitless of what these smart securities, you know can be capable of, for example one of the things that were that we're talking with various parts of the government is thinking about the tax credit. The tax credit that have been talked about at the Trump administration, that could be really changed on its head if you were able to use smart securities, if you will. Who says that the tax credit for a certain project has to be the same as all other projects? The president has promised a 1.5 trillion dollar infrastructure investment program and so far he's only 1.5 trillion away from the goal. It hasn't started yet. Wilbur Ross when, in the transition team, I had seen the white paper that he had written, was suggesting an 82% tax credit for infrastructure investment. I'm going 82%, oh my God, I've never. It's an unfathomable number. If it were 82% it would be the strongest fiscal stimulus of your lifetime and it's a crazy number, it's too big. And then I started thinking about it, maybe an 82% tax credit is warranted for a critical infrastructure as important as quantum computing or cyber security. >> Cyber security. >> Exactly, very good point, and maybe the tax credit is 15% for another bridge over the Mississippi River. We already got those. So a smart infrastructure token would allow the Larry Kudlow to turn the dial and allow economic incentive to differ based on the importance of the project. >> The value of the project. >> That is a big idea. >> That is a big idea. >> That is what we're working on. >> That is a big idea, that is a smart contract, smart securities that have allocations, and efficiencies, and incentives that aren't perverse or generic. >> It aligns with the value of the society he needs, right. Talk about quantum computing more, the potential, why quantum, what attracted you to quantum? What do you see as the future of quantum computing? >> You know, you don't you don't have to own very much Bitcoin before what wakes you up in the middle of the night is quantum computing. It's a hundred million times faster than computing as we know it today. The reason that I'm involved in this project, I believe it's a matter of national security that we form a national initiative to gain quantum supremacy, or I call it data supremacy. And right now we're lagging, the Chinese have focused on this acutely and are actually ahead, I believe of the United States. And it's going to take a national initiative, it's going to take a Manhattan Project, and that's that's really what Entanglement Institute is, is a current day Manhattan Project partnering with government and three-letter agencies, private industry, we have to hunt as a pack and focus on this or we're going to be left behind. >> And that's where that's based out of. >> Newport, Rhode Island. >> And so you got some DC presence in there too? >> Yes lots of DC presence, this is being called Quantum summer in Washington DC. Many are crediting the Entanglement Institute for that because they've been up and down the halls of Congress and DOD and other-- >> Love to introduce you to Bob Picciano, Cube alumni who heads up quantum computing for IBM, would be a great connection. They're doing trying to work their, great chips to building, open that up. Bradley thanks for coming on and sharing your perspective. Always great to see you, impeccable vision, you've got a great vision. I love the big ideas, smart securities, it's coming, that is, I think very clear. >> Thank you for sharing. >> Thank you. The Cube coverage here live in Toronto. The Cube, I'm John Furrier, Dave Vellante, more live coverage, day one of three days of wall-to-wall coverage of the Blockchain futurist conference. This is the first global Cloud Blockchain Summit here kicking off the whole week. Stay with us for more after this short break.

>> Narrator: Live from the Bill Graham Auditorium in San Francisco, it's theCUBE, covering Pure Storage Accelerate, 2018, brought to you by Pure Storage. >> Welcome back to theCUBE's coverage of Pure Storage Accelerate 2018. I'm Lisa Martin. Been here all day with Dave Vellante. We're joined by David Floyer now. Guys, really interesting, very informative day. We got to talk to a lot of puritans, but also a breadth of customers, from Mercedes Formula One, to Simpson Strong-Tie to UCLA's School of Medicine. Lot of impact that data is making in a diverse set of industries. Dave, you've been sitting here, with me, all day. What are some of the key takeaways that you have from today? >> Well, Pure's winning in the marketplace. I mean, Pure said, "We're not going to bump along. "We're going to go for it. "We're going to drive growth. "We don't care if we lose money, early on." They bet that the street would reward that model, it has. Kind of a little mini Amazon, version of Amazon model. Grow, grow, grow, worry about profits down the road. They're eking out a slight, little positive free cashflow, on a non-gap basis, so that's good. And they were first with All-Flash, really kind of early on. They kind of won that game. You heard David, today. The NVMe, the first with NVMe. No uplifts on pricing for NVMe. So everybody's going to follow that. They can do the Evergreen model. The can do these things and claim these things as we were first. Of course, we know, David Floyer, you were first to make the call, back in 2008, (laughs) on Flash and the All-Flash data center, but Pure was right there with you. So they're winning in that respect. Their ecosystem is growing. But, you know, storage companies never really have this massive ecosystem that follow them. They really have to do integration. So that's, that's a good thing. So, you know, we're watching growth, we're watching continued execution. It seems like they are betting that their product portfolio, their platform, can serve a lot of different workloads. And it's going to be interesting to see if they can get to two billion, the kind of, the next milestone. They hit a billion. Can they get to two billion with the existing sort of product portfolio and roadmap, or do they have to do M&A? >> David: You're right. >> That's one thing to watch. The other is, can Pure remain independent? David, you know well, we used to have this conversation, all the time, with the likes of David Scott, at 3PAR, and the guys at Compellent, Phil Soran and company. They weren't able, Frank Slootman at Data Domain, they weren't able to stay independent. They got taken out. They weren't pricey enough for the market not to buy them. They got bought out. You know, Pure, five billion dollar market cap, that's kind of rich for somebody to absorb. So it was kind of like NetApp. NetApp got too expensive to get acquired. So, can they achieve that next milestone, two billion. Can they get to five billion. The big difference-- >> Or is there any hiccup, on the way, which will-- >> Yeah, right, exactly. Well the other thing, too, is that, you know, NetApp's market was growing, pretty substantially, at the time, even though they got hit in the dot-com boom. The overall market for Pure isn't really growing. So they have to gain share in order to get to that two billion, three billion, five billion dollar mark. >> If you break the market into the flash and non flash, then they're in the much better half of the market. That one is still growing, from that perspective. >> Well, I kind of like to look at the service end piece of it. I mean, they use this term, by Gartner, today, the something, accelerated, it's a new Gartner term, in 2018-- >> Shared Accelerated Storage >> Shared Accelerated Storage. Gartner finally came up with a category that we called service end. I've been joking all day. Gartner has a better V.P. of naming than we do. (chuckles) We're looking' at service end. I mean, I started, first talking about it, in 2009, thanks to your guidance. But that chart that you have that shows the sort of service end, which is essentially Pure, right? It's the, it's not-- >> Yes. It's a little more software than Pure is. But Pure is an awful lot of software, yes. And showing it growing, at the expense of the other segments, you know. >> David: Particularly sad. >> Particularly sad. Very particularly sad. >> So they're really well positioned, from that standpoint. And, you know, the other thing, Lisa, that was really interesting, we heard from customers today, that they switched for simplicity. Okay, not a surprise. But they were relatively unhappy with some of their existing suppliers. >> Right. >> They got kind of crummy service from some of their existing suppliers. >> Right. >> Now these are, maybe, smaller companies. One customer called out SimpliVity, specifically. He said, "I loved 'em when they were an independent company, "now they're part of HPE, meh, "I don't get service like the way I used to." So, that's a sort of a warning sign and a concern. Maybe their, you know, HPE's prioritizing the bigger customers, maybe the more profitable customers, but that can come back to bite you. >> Lisa: Right. >> So Pure, the point is, Pure has the luxury of being able to lose money, service, like crazy, those customers that might not be as profitable, and grow from it's position of a smaller company, on up. >> Yeah, besides the Evergreen model and the simplicity being, resoundingly, drivers and benefits, that customers across, you know, from Formula One to medical schools, are having, you're right. The independence that Pure has currently is a selling factor for them. And it's also probably a big factor in retention. I mean, they've got a Net Promoter Score of over 83, which is extremely high. >> It's fantastic, isn't it? I think there would be VMI, that I know of, has even higher one, but it's a very, very high score. >> It's very high. They added 300 new customers, last quarter alone, bringing their global customer count to over 4800. And that was a resounding benefit that we were hearing. They, no matter how small, if it's Mercedes Formula One or the Department of Revenue in Mississippi, they all feel important. They feel like they're supported. And that's really key for driving something like a Net Promoter Score. >> Pure had definitely benefited from, it's taken share from EMC. It did early on with VMAX and Symmetrix and VNX. We've seen Dell EMC storage business, you know, decline. It probably has hit bottom, maybe it starts to grow again. When it starts to grow again, I think, even last quarter, it's growth, in dollars, was probably the size of Pure. (chuckles) You know, so, but Pure has definitely benefited from stealing share. The flip side of all this, is when you talk to you know, the CxOs, the big customers, they're doing these big digital transformations. They're not buying products, you know, they're buying transformations. They're buying sets of services. They're buying relationships, and big companies like Dell and IBM and HPE, who have large services arms, can vie for certain business that Pure, necessarily, can't. So, they've got the advantage of being smaller, nimbler, best of breed product, but they don't have this huge portfolio of capabilities that gives them a seat at the CxO table. And you saw that, today. Charlie Giancarlo, his talk, he's a techie. The guys here, Kicks, Hat, they're techies. They're hardcore storage guys. They love storage. It reminds me of the early days of EMC, you know, it's-- >> David: Or NetApp. Yeah. Yeah, or NetApp, right. They're really focused on that. So there's plenty of market for them, right now. But I wonder, David, if you could talk about, sort of architecturally, people used to criticize the two controller, you know, approach. It obviously seems to be doing very well. People take shots at their, the Evergreen model, saying "Oh, we can do that too." But, again, Pure was first. Architecturally, what's your assessment of Pure? >> So, the Evergreen, I think, is excellent. They've gone about that, well. I think, from a straighforward architecture, they kept it very simple. They made a couple of slightly, odd decisions. They went with their own NAND chips, putting them into their own stuff, which made them much smaller, much more compact, completely in charge of the storage stack. And that was a very important choice they made, and it's come out well for them. I have a feeling. My own view is that M.2 is actually going to be the form factor of the future, not the SSD. The Ssd just fitted into a hard disk slot. That was it's only benefit. So, when that comes along, and the NAND vendors want to increase the value that they get from these stacks, etc., I'm a little bit nervous about that. But, having said that, they can convert back. >> Yeah, I mean, that seems like something they could respond to, right? >> Yeah, absolutely. >> I was at the Micron financial analysts' meeting, this week. And a lot of people were expecting that, you know, the memory business has always been very cyclical, it's like the disk drive business. But, it looks like, because of the huge capital expenses required, it looks like supply, looks like they've got a good handle on supply. Micron made a good strong case to the street that, you know, the pricing is probably going to stay pretty favorable for them. So, I don't know what your thoughts are on that, but that could be a little bit of a head wind for some of the systems suppliers. >> I take that with a pinch of salt. They always want to have the market saying it's not going to go down. >> Of course, yeah. And then it crashes. (chuckles) >> The normal market place is, for any of that, is go through this series of S-curves, as you reach a certain point of volume, and 3D NAND has reached that point, that it will go down, inevitably, and then cue comes in,and then that there will go down, again, through that curve. So, I don't see the marketplace changes. I also think that there's plenty of room in the marketplace for enterprise, because the biggest majority of NAND production is for consumer, 80% goes to consumer. So there's plenty of space, in the marketplace, for enterprise to grow. >> But clearly, the prices have not come down as fast as expected because of supply constraints And the way in which companies like Pure have competed with spinning disks, go through excellent data reduction algorithms, right? >> Yes. >> So, at one point, you had predicted there would be a crossover between the cost per bit of flash and spinning disk. Has that crossover occurred, or-- >> Well, I added in the concept of sharing. >> Raw. >> Yeah, raw. But, added in the cost of sharing, the cost-benefit of sharing, and one of the things that really impresses me is their focus on sharing, which is to be able to share that data, for multiple workloads, in one place. And that's excellent technology, they have. And they're extending that from snapshots to cloud snaps, as well. >> Right. >> And I understand that benefit, but from a pure cost per bit standpoint, the crossover hasn't occurred? >> Oh no. No, they're never going to. I don't think they'll ever get to that. The second that happens, disks will just disappear, completely. >> Gosh, guys, I wish we had more time to wrap things up, but thanks, so much, Dave, for joining me all day-- >> Pleasure, Lisa. >> And sporting The Who to my Prince symbol. >> Awesome. >> David, thanks for joining us in the wrap. We appreciate you watching theCUBE, from Pure Storage Accelerate, 2018. I'm Lisa Martin, for Dave and David, thanks for watching.

>> Hey welcome back everybody. Jeff Frick here with theCUBE One of our favorite things to do is go out and visit a lot of the cool innovation companies that are all around us here in Silicon Valley. It's a real blessing to be here. We can do it. And so we're really excited to come here today to Nightscope. They are doing so many interesting things that combine software hardware autonomous vehicles, artificial intelligence security a lot of the topics that we talked about all the time sometimes in the general terms. And here it's real. You can feel it. You can touch it. Don't try to not get over, it way too much. But we're excited to be here. We've got the founder he's the chairman and CEO William Santana Li of Knightscope. Great to see you William. >> Welcome a night scope headquarters. Good to have you here. >> Well first off congratulations on the recently announced funding that's good. >> Thank you. It's our fourth round of funding. So we're using that capital to scale across the country. We're now holding contracts in about 14 states and the companies are now starting to accelerate our growth. So we're pretty excited about that. >> So nothing do the whole history but kind of where you come kind of when did you start when did the first one get deployed. And now you're about ready to launch your fourth model. >> Sure, the company started April of 2013. When we started basically we got the first initial round of comments from all sorts of interesting folks.... Bill, you're out of your mind; This will never work; Security is not an investment thesis; You'll need 50 million dollars to build the first one; Oh and by the way it's too complicated; It's hardware and software you should pick one. And like most good entrepreneurs we ignored everyone and just did what we said we were going to do. So we deployed in the real world. Let's see, May 2015 was the first one that actually was out, operating 24/7, and that seems like so long ago but also just recently as well. >> But you really had bitten off a huge chunk of challenges, right, because you have the hardware piece and they're not only hardware, like a computer, but it's a vehicle goes outside it's in the weather. You've got the software piece, you've got the sensors piece, you've got the monitoring. So you did did bite off quite a chunk, and then you're really delivering it as a solution. So you know you're putting all these things together very much like the first iPhone. >> Yes, probably two comments: one, clients don't care about all that they just want their problem fixed. And so whatever it's going to take to fix that problem; in their particular cases it's crime. And second, I'm going X Ford Motor Company executive, spent 10 years in Detroit a little bit fluent in say large scale hardware outdoors. And for me these are lot easier than building a car. Let's put it that way. >> That's right, no people no glass No. No airbags. Things out. OK. But it begs the question how did you get to the design. Cause they're very distinctive. You know they do look like R2D2, some of the mid tier ones, you've got the stationary and this really cool Jeep-looking one back here. How did you come up with designs what were some of your initial thoughts >> Well first of all we design we engineer we build we deploy we support everything start to in-house. So maybe a little background we have a challenge similar to a law enforcement officer or a law enforcement officer and it's a command respect and authority. Shiny shoes stand up straight. But you cannot scare grandma you cannot scare the child. These are not military products so you need to be able to operate within society. So we spent maybe way too much time worrying about every little font every radius every surface color treatment everything else because part of it is putting that physical presence there to deter negative behavior. But at the same time it needs to be inviting enough to be accepted by society so that when and may are 15 when we first put the one out we were worried like what's going to happen are people going to go nuts or or what we didn't expect and ended up happening was a massive amount of robot selfies everyone's wanting to take a picture with the robot. So maybe put it a different way if you showed up today and the machines patrolling outside were painted black with red LEDs glowing with an ominous sound moving ten times faster than they probably wouldn't be sitting here talking. All right >> Exactly. I was scared by the white one when I pulled this afternoon. >> But we need to provide again that genetical presence and the turns it needs to be accepted by society. >> The next thing I think it's really interesting is the business model and I'm sure when you talk to your investors after they told you you were crazy for doing software to create a system then fracturing they probably said you know what's the business model how are you going to support these things how expensive are they going to be for a capital investment point of view. How about maintenance and ongoing upgrades. But you said forget that we're going to go as a service. So if you could tell us a little bit about that decision and how that's impacted your customer relationships. >> So we offer our technology and machine as a service business model so that gives you the machine the data transfer data storage analysis user interface. All the hardware software upgrades all the maintenance service everything one throat to choke were responsible. So one of the things we want to do for our clients is we don't want you setting up the robot robot maintenance service division right. We need. They're already busy. We've got plenty on their plate. All the security officers and our staffs. So we need to be able to empower them and not add more workload to them. So from a service standpoint that works well too. We're at the bleeding cutting edge of technology. If we were to offer it on our purchase type of arrangement let's just say I spent a lot of time in Detroit we could barely cover our cost of capital selling hardware. And that's probably not a good business model to go after long term. So if we can provide a lot more value to the client and then also retain the authority over the assets and be able to upgrade it. And as most technology around here in Silicon Valley it's better and better and better and better as Mercedes mentioned we dropped the software every two weeks on new hardware 3 6 9 months. So the clients continue to get improved technology and then from a security standpoint we want to make sure given the nature of the product that all the assets are under our control. >> It's interesting too I think that I think something that's not spoken about enough is when you have a services relationship with your client and I assume it's a monthly or a quarterly or whatever you structure your payment system. It forces you to maintain a great relationship. It forces you to continue to deliver value when they are you know writing about the feedback loop is the feedback loop is really important. >> So we signed one to three year long contracts and we had quarterly business reviews with our clients and we get to learn real time and we get real time input. So yeah after the transaction the contract signed that's when the work begins. When we get to celebrate we get to celebrate when our clients win. >> Right. So don't tell me the secret sauce or you can't tell me but I'm just curious as to where some of the real significant challenges are that people maybe don't appreciate is that the integration of these various sensors is the way that it moves. I mean what are some of the real things that make a nightscope autonomous security robot special. >> So as an ex auto executive I think self driving technology is going to turn the world completely upside down and I'm really excited to see all the massive amount our India efforts small medium large and extra large that have been going on. However we're the only company in the world that's actually scaling autonomous technology in the real world with real clients doing real work. It's easy to go build prototypes but you want machines running 24/7 in the rain. Cats dogs people cars trucks goats and sheep. And I don't know what else we've seen. That's a whole other level of engineering and fortunately we've been able to operate in that manner for a very long time depending on who you believe. Autonomous are self driving vehicles require a fail over a human one meaning 30 to 70 percent of the times the algorithms fail someone needs to take over. Despite what some people think there there is nobody in their right. >> And so we've got to we've got to be right 100 percent of the hype right. >> And 24/7 and you got to do a good enough job that it is going to pay you for it. Right. And that requires a different level of scale and a different level of discipline. >> Another question in terms of customer adoption. Well first to back up what you just said. I mean that's part of the benefit of your services model right is that you're getting feedback you get these things feel like he said as you've shipped them to heat and snow and this and that you know you're learning all the time so you actually benefit from that relationship too as opposed to just selling them something. I'm curious from the customer adoption point of view. What was the biggest hurdle that people just didn't either didn't buy it didn't expect it. I got great security guards before Mercedes told me that they'd turn over 300 cent a year. But you know clearly it's a new technology it's something new something different I would imagine there was all kind of interesting challenges to overcome. >> One is just a fundamental structure of our country. Most people don't realize that may be different than the Department of Defense. DoD has a 600 billion dollar budget. There is one person in charge. There's a massive industrial complex to build your new favorite submarine, jet fighter or what have you and they give the troops every level capability you might ever imagine and I'm fine with that. What I have a problem with is we have 2 million law enforcement professionals and security guards that get up every morning on our own soil and won't take a bullet for you and your family. And the level of technology that we provide to them as a country is certainly beneath the dignity of this nation. >> And so what I expect to happen is for us to give them the right set of tools for them to do their jobs much more effectively. The Department of Justice and Homeland Security have no federal jurisdiction over the 19000 law enforcement agencies and 8000 private security firms. There's literally no one in charge and there's basically been no innovation and space so when you ask me how you're going to get this into a clients hands. Well we basically took the thing that was on the movie screen and is now operating autonomously on your premises. Right. And that takes a little bit of gall to do that right. >> Probably the best way is showing how you can do as many videoconferences and calls and what have you but also bringing a machine to their premises and instead of having a discussion with just the chief security officer or the director of physical security or whatever it's like hey the robots here and 50 people come streaming downstairs and it's purchasing it's legal it's finance it's the CFO it's everybody who has a stake somehow of this new massive device patrolling their campus. So you get that by in that way and then now that we've got a track record of crime fighting becomes a little bit easier. >> So we've had in some cases of criminal incidents where a client is experiencing one to two vehicle thefts assaults battery you name it on the premises. We put the machine there and for the last year it's all gone down to zero. As was a Mercedes and mentioned earlier and that makes a big impact. Now when the staff says or the guards this area is so crime ridden I won't even patrol. Now this machines come here and actually made the environment that much safer. They're going to renew that contract. Right. And so the adoption starts getting stronger. Just from our own winds. And so we've now been in service and long enough they're starting to get renewals and renewals are based on merit. We had five break ins or negative things happen a month. Now it's gone down to 2 to 1 0. That makes a huge difference and it's extremely cost effective. >> Now what happens I just want to say it is a really rough neighborhood and your and your machine is patrolling in the parking lot. Certainly some bad guys must come up NATO with a baseball bat or something. I mean there's got to be a tough kind of initial reaction of some of these rough neighborhoods. I mean how do they respond. >> So you want to think of this as two different things. One these are tools for the guards to use. So majority of the clients are looking at this as adding additional capability a force multiplier to get really smart eyes and ears for the security guards to cover more ground and be able to do their jobs again more much more effectively in some cases the physical presence deters a lot of the behavior. So simply if I put a marked law enforcement vehicle in front of your home or your office right. Criminal behavior changes right. Most of these guys, and they're mostly guys, are literally just trying to get away with something and looking for the path of least resistance least resistance right. You walk up like you did today. You pull into a parking lot. I have no idea what this thing does. I don't know what it's recording like. I'll go. All right. And that's exactly what happens. And so clients get to see that that there is a net positive brand enhancing effect. So manufacturing plant a puts one in Kentucky is like hey this is kind of working. Let me call my sister plant in Mississippi. Right. And let's put one there you know mall a in San Jose decides you know this is actually working really well. These guys have helped us a lot. In one case for a different client we were able to have a law enforcement agency and issuing an arrest warrant for a sexual predator. Right. That's a huge win for us to be able to do that or there was a someone that showed up with a shotgun to basically steal someone's car. We captured all the video and everything else that nothing above 12 stories looking at the top of your head is going to be very helpful in doing gave the evidence to law enforcement. The guy was caught before he crossed the state state line. We helped the security guard apprehend thief in a retail environment. The list goes on and on and on. So you start having those kinds of wins. The next mall calls up and says Hey I heard things went really well here. How can we get a couple over here. Right. And that's that's where we are now are starting to really accelerate the growth of the company. So I would be remiss if I didn't ask the obligatory security question terms of getting act so. >> High tact everyone who wants to hack the machine they can't get a home. A little bit that kind of how's the communications work. Do they work autonomously. Do they work in teams. And you know clearly someone's going to sit outside with the laptop and on their second trip back to the parking lot. I'm going to crack this code. >> So we try to do a few things one because we don't sell these things outright. They're always in our control. Just as a basic advantage there. Second we change it often. So that gives us another advantage. Third the teams working on hardening a lot of the stuff making making sure stuff's encrypted encrypted and we only transfer a certain amount though we really need or don't need type of things and then we hire white hack a white hat hackers to try to hack the system and we make the changes accordingly. Everything as you know is hackable but we try to do our job as best possible to make these systems as secure as possible. >> So for the not-hacker, at the mall deployment, I mean how should people interact with these things how do people interact with these things in an environment where it's not necessarily the security guard who is trained and knows exactly what the capabilities are but just kind of in the wild weather be in a parking lot or at the mall I think is a bunch of stuff. >> First it's a kid magnet right. So parents can now explain in the real world why you should probably be studying math and science and yes which is an engineering is a really good thing. Second we're about to release in production a concierge's feature that allows a two way dialogue between the human and the machine. So you know walls closing in 30 minutes or where is Macy's or you know what jeans are on sale today. That sort of thing. You can also do that for authentication at a entrance for manufacturing facility. So let's say there's a K1 stationed at the entrance for a manufacturing plant of transmission parts 18 wheeler shows up at 3:00 in the morning. Compress the intercom button to a dialogue get authenticated. We have the plates we've got all the other signatures that we need. Digital or otherwise to allow that that truck in. All right. So there's all kinds of opportunities again to give the guards much more capability. So go back to the math. You have 2 million guards and officers trying to secure 300 million people across 50 states. I don't care what math you're going to come up with. It doesn't work. And by the way the population keeps growing and that taxpayers can't afford funding this stuff. You need something that's going to be the game changer in this is that game changer. Crime has a trillion dollar negative economic impact on the U.S. every single year. It's a hidden tax we all pay in blood tears and treasure and somehow society has found it acceptable that at these levels it's OK. And I don't know about you but I'm sick and tired of waking up every morning looking on my news feed to find some horrific thing happened again. And what do our political leaders do. We extend our thoughts and prayers. Hey listen buddy. No amount of thoughts and prayers are going to fix this problem. I've got a team of very dedicated engineers and patriots here working on trying to actually fix the problem so we have the honor and privilege to be able to do that every single day here in Silicon Valley. >> Well the the passion comes through Bill and clearly it's a very important mission and congrats on the new funding and I can't wait to see you deployed. >> Appreciate it. >> All right. He's Bill, I'm Jeff. We're at Nightscope. Check it in Mt. View, Thanks for watching. We'll catch you next time.

>> Announcer: Boston, Massachusetts It's theCUBE. Covering OpenStack Summit 2017. Brought to you by the OpenStack Foundation, RedHat, and additional ecosystem support. (upbeat techno music fades out) >> Hi, I'm Stu Miniman, joined by John Troyer, and this is theCUBE, SiliconANGLE Media's live broadcast of OpenStack 2017 here in beautiful Boston, Massachusetts. Actually, the clouds have been breaking up, a little bit of sunshine here, and it's our third day of broadcasts. We have really a lot of our editorial segment today. Going to be talking to more community members, talking to one of the Superuser winners, a number of startups, and happy to start the day, Lisa-Marie Namphy who is the US OpenStack ambassador. CUBE alum, been on a number of times. Lisa, tell us what's new in your world. >> Thank you Stu, and thanks John and what a pleasure to be here with you folks, and hello, Boston and world, good morning. What's new, well the OpenStack ambassador program is expanding all the time, we just had a great session that Sonia did to kick off the day today to really talk about, you know, how to get involved in OpenStack, even if you're not necessarily a technical person. It's really important to acknowledge how everybody in our community can contribute, and that's one of the things the ambassador program does really well. So we just had a session on that. One of the things that I've done with our user group that is new and super exciting is I've morphed it into a little bit of the OpenStack in Containers user group. So I've been focusing a lot on containers, done 12 or 13 meetups on Kubernetes and or Docker since last summer, and I just had the pleasure of speaking in the CNCF communities track, communities day track yesterday, and that was so much fun, out there in the grand ballroom, so that's kind of some new and fun things we're doing. >> It's great, this is our fifth year doing theCUBE at this show, always a robust community, really. When we started coming, it was the people building it, Now we have a lot of the users, there's different sub-segments, can you speak a little bit to the kind of maturity of the community, and, you know how do people get involved in the ambassador program, how many are there geographically, number wise, diversity, those kind of things. >> Oh gosh, yeah so it's geo, or it's a worldwide program and it's been going a lot, and you're right, you know years ago, here it was the Design Summit, and we sat around and talked about, you know the next six months of the project, and then it morphed into more users, adoption, customers, operators are a really big one too. And now those things are all so big, we have operators, Midcycles, and all and the Design Summit has been, you know sequestered off into, separated out so that we can really focus here on the customers, the community, users, and those type of contributors as well. So things have changed a lot in the seven years since we've been doing OpenStack. The ambassador program is fantastic. The foundation has done a really good job in the last couple of years of acknowledging the contributions of the user community, and so not necessarily the code contributors only, but the people who are also spending as much time contributing in really significant ways to our community, and growing our commnity. Open source doesn't work without a community. So we know that, and we're doing a much better job of acknowledging who those people are and rewarding them. >> John: How many ambassadors worldwide? >> There's about twenty of us. I'm the only one in the US right now, but we're about to change that. I believe my friend Sheila is going to join and cover the East Coast, and I'll be able to do everything west of the Mississippi, but most countries only have one, and... >> And the role of an ambassador, do you do a lot of meetups? Do you go speak? You're there as a, for people to contact as well, right? >> Yeah, we generally recruit or ask people to be ambassadors if they are already doing those things, if they're already running a local user group, if they already have a brand in OpenStack, and they speak, and they kind of already know how to reach out to people, and how to inspire people, or people see them on stage, and that's why the foundation approached me to do it. I had been running the San Francisco Bay area meetup for three years, and speaking, I don't know this is probably my eighth, ninth, maybe tenth OpenStack Summit that I've been speaking at, and OpenStack days and all of that. And so, you kind of see who's already doing it. The cool thing about community is nobody is asked to do it, like you do it because you have a passion for it, because you love it, because it's the right thing to do, because it's helpful to push the technology forward because you have a passion for the technology, because you love people, all these reasons is why people get into it. So you find all over the world people who are doing this. They're already doing it and they're not being paid to do it they're doing it, those are the people you grab, because you know, there is a burnout level to it but those are the people who have enough passion about it and commitment, and believe in community that they're going to be successful at it. >> Can you talk a little bit about the Bay Area OpenStack user group? It's one of the largest OpenStack user groups, and one of the themes we've seen this week is a lot of talk about containers, a lot of talk about, well, Kubernetes, but containers in general, kind of demystifying the sometimes confusing story about where's OpenStack good for, where's the container layer good for, it turns out it's good for a couple different places, you can containerize OpenStack, you can also... A lot of talk about the app layer on top, but you actually, what you just said, you've actually expanded the conversation, you don't just sit there and say "this month we're talking about Neutron," you talk about a lot of different topics, and you bring people to the table. >> Yeah, San Francisco area, you are correct, it is the world's largest OpenStack user group, we have over 6,000 members. Not all of them are located in the Bay Area, I think people like to join the user group because we provide a lot of really good content, and we live stream our meetups, we have Google Hangouts, I record them all, they're all on our calendar, if you go to meetup.com/openstack, you get to us because we were the first one. So we do get a lot of people from around the world, and I write newsletters with lots of interesting information but it is a local community and we do encourage people to participate, so the meetups are super important and the only way to make sure that you keep your community strong and keep people coming back is to have phenomenal content in your meetups. So I work really hard to make sure that the content is interesting, that it's relevant, and the most exciting, most relevant conversation since last summer has been containers. The year before that it was networking, and it still kind of is and always will be. So we do a lot of meetups on networking, too, but containers has been what people want to talk about. They're trying to figure this out. OpenStack has reached a maturity level where people, you know, they're not necessarily learning or if they are they can take an OpenStack 101 course and those exist all over the place. So we've gone to the next level, and whether it was Cloud Foundry or now Containers we do like to talk about what else you can do with this fabulous technology, and how you should do it. So we've had meetups where we've presented OpenStack on communities, communities on OpenStack, where I personally came in and did a whole meetup on Kubernetes as the underlay, and Rob Starmer came in and did a whole workshop and hands-on about how to run OpenStack on containers. Yesterday our panel, you heard Dan Berg talk about just simplifying it, run everything in a container, but keep it as simple as possible, so what pieces do you need? So these are the conversations that we like to have in our user group, and people keep coming back because it's an exciting conversation. >> Yeah, expanding on that, you talked about just people are always coming, new people to the community that don't know it, people that are changing jobs all the time, new technologies, I mean, we all know community building is a constant, you know, reinvention in something, you keep needing to work How do the ambassadors, how do stay energized on it, how do you keep the momentum and the energy of the community going? >> Yeah, well the cool thing about an open source community is no matter where you're working, you're still part of the community. So I've worked with so many other people here, I don't even know where they are sometimes. I mean we don't tend to talk about what company we're actually working for, or who's paying your paycheck, and especially in the early days of the project that was definitely true, and so some of my good friends have been at four different companies in the time that we've been doing this OpenStack thing, but we're all still working on OpenStack, and I suspect Kubernetes will be very similar, or Docker. You know, how many people are working on Docker? But there's only 200 people that work for Docker, right? So these technologies kind of take on these lives of their own, and people do switch jobs a lot, but people come to meetups because it's a constant thing, and it's also a good place to keep networking and keep looking for work, so we got a lot of that. The beginning of every meetup, I ask for a show of hands of who's hiring. If I ask for who's looking, not everybody raises their hand but if you ask who's hiring, there's a lot of people hiring all the time, and so then the people can look around and say "okay I'm going to go talk to those people," so yeah, the networking is an important part. >> On that point, are you seeing any trends as to what are the roles that they're hiring for, or you know, companies or industries that definitely have changing skillsets, you know John spent a lot of time helping all those virtualization people moving to that next thing, what are you seeing? >> Engineering is the big one, and people are still looking for OpenStack engineers. I mean people ping me all the time, saying "do you know any OpenStack engineers?" So that's usually the number one thing, developers to help build out these things, and then also the companies that, you know, that aren't OpenStack companies, you know companies like GE that are trying to hire what, 20,000 developers in the next couple years, and Mercedes and Tesla, and you see all these companies that are trying to build out their software developer programs. So another role that is interesting that people are hiring for is these developer, DevRel, Developer IVC community roles to try to figure out, you know how are we going to build our developer community within our company? If these are really large companies, or you know, companies like IBM which have interest in things like the Apache Spark community, or you know, you find these pockets in these large companies as well. Or there's a lot of startups, you know unlike, probably not like Docker as much, but Kubernetes is going to have this ecosystem of partners that build around it, and these companies are popping up out of the woodwork and they're growing like crazy, and there's like 30 of them in the Bay Area, right? So they're really trying to expand as well. >> I wanted to ask about the general mood of the summit. My first summit... You know, it happens every six months. I've been impressed by how grounded people are, I see a lot of first time attendees, people starting new OpenStack installations in 2017 right now, here to learn... I'm just kind of curious, over the last couple summits is there anything different you see about here in Boston, anything you're looking forward to going to in the next one, in terms of kind of mood and how people are, are people feeling good, are people, you know, are people still puzzling out this container issue, or are people still talking about public versus private, or what are kind of the mood and conversations you hear from other community members? >> I think people are talking about public versus private again, not still right? I mean is it, that was kind of an interesting one, and I think Johnathan brought it up on main stage on the first day about that kind of readoption of private cloud, and that you know, we knew that was a sweet spot for OpenStack particularly in the US. You know, lots of public clouds running on other parts of the world, but that's a fun conversation, and it's containers of course, but not just containers. I think it was maybe Lauren Sell who put the slide up of all of those other technologies that are, you know affiliate now, and... >> Another ecosystem of open source projects >> Lisa: Yeah, yeah >> that can all interoperate with openstack. >> With Cloud Foundry, and Ansible was up there, and Ceph, and you had a slide full of technologies, OpenDaylight, that are all playing a role here and that the conversation has been about, and I just encouraged in the ambassador session and in the meetup sessions to do that with your meetup. Our meetup has been really successful and the people have loved it because we started bringing in this other technology. People want to talk about IoT, they want to talk about AI, they want to talk about machine learning, so there's those, they want to talk about, you know what are the best use cases for OpenStack so we showcased to GoDaddy what they built with Docker on top of OpenStack. So there's a lot of fun conversations to be had right now, and I think there's a buzz around here, you know that, what, day one when Johnathan put the slide up saying, you know, people have predicted the end of OpenStack and that was like four years ago or whatever, that was an awesome slide, right? I'm sure talked to him about it. >> Yeah, I absolutely traded notes, and caught opinion about it, too. Lisa, you live in The Valley, I'm curious about perception in The Valley, you know, OpenStacks now been around seven years, it's kind of, you know, it's matured, it's moved on, some called it boring because we fixed some of the main issues, you know We mentioned all the OpenStack days with you know Cloud Foundry, Kubernetes, all these software pieces on top, what do you hear in The Valley when people talk about OpenStack, any misperceptions you'd want to clarify? >> Yeah, yeah it's not boring. It's funny when you say to a California girl "you live in The Valley," I'd be like, "let's just say The Silicon Valley." Not the, not the other Valley. >> Stu: Not the Valley girl >> Don't make me start talking like that, right? >> Stu: Oh my god! (laughs) >> Right, so, no. It's never boring, it's never... It hasn't been boring from day one, and there's been times where I felt like okay we've been talking about infrastructure for years now, let's talk about some other things, but I love the way at this conference they're talking about, they're calling it the "open infrastructure conference." You know, this is what OpenStack has become, and that just opens the conversation. You know, I love that shift. There's always something exciting to talk about, and I don't mean the little inside baseball things, like should we have done Big Ten, should Stackalytics go away, I mean, you know people like to talk about that stuff, but I don't find that customers or the people at the meetups are talking about that stuff. People at the meetups are talking about you know, how should we run this with Kubernetes? How do these technologies fit together? You know, lots of different things, you know where does Docker play into it? Networking is still a conversation and a problem to still be solved, and how are we going to do this? We had OpenContrail do a meetup with us a couple of weeks ago. There's still a lot of interest in figuring out the networking piece of it, and how to do that better. So we're never going to run out of things to talk about. >> Alright, so how do more people get involved, how do they find their meetups, where do they find resources? >> Most of, openstack.org has a list of all the communities, but most of the communities use meetup.com, almost globally, so if you go to meetup.com, and you put in your geo, you'll find one. You can contact your local ambassador. If you want to get involved, I say just go to a meetup. I mean you can't start leading communities until you participate in communities. There is no way to phone this in. You have to, it's hands-on, roll up your sleeves, let's get to work and participate, and have some fun. So go to a local meetup, and meet your meetup organizers, volunteer, help, and it's so rewarding. Some of my best friends that I have, I've met through OpenStack or open source projects. It creates many opportunities for jobs. So just start going to meetups and get involved, and if you want to be an ambassador, there's a list on the website of how to figure that out. Tom Fifield runs the whole program with Sonia's help out of Australia, but regionally we're always looking for help. There's no shortage of roles that people can play if people really want to. >> Definitely a vibrant community here, doing well, Lisa-Marie Namphy, always a pleasure to catch up with you, and we have a full day of programming coming, so stay tuned and thank you for watching the cube. >> Lisa: Thanks Stu, thanks John. (upbeat techno music)

the queue presents on the ground here's your host John furrier hi everyone I'm John furrow it still can angle the cube we're here in San Francisco the ritz-carlton for the exclusive coverage of Amazon Web Services AWS is big announcement with VMware CEO Pat Cal singer with the CEO of Amazon Web Start sandy chasse a year on the big announcement of VMware managing a cloud on Amazon a lot of good stuff and our next guest is Terry wise who's the vice president of global alliances great to see you good to see you John thanks for having us so you're the man I'm at bout town and he came on stage we delivered a great performance kind of humbly like he always is but this is a really big deal and you guys obviously get learning on the public cloud but this is like you know almost sweeping the double header you know game one you win the public cloud game to enterprise cloud is pretty much in your back pocket with the size of VMware you got to be happy with this deal yeah we're very pleased with it I mean if you look at it we don't look at it in the terms you just articulated it certainly entertaining but we really look at it is how we're gonna best serve customers and at the beginning at the end of the day this all came about you know really by customer demand you heard both Andy and Pat talk about it enterprise customers have been talking to us for years hey we want to run these workloads across multiple environments help make us help make that happen and now is the right time in place and the right marketing conditions to make that yeah yeah tongue-in-cheek side nice nice political answer on the Amazon front but but in reality we've been covering both Amazon and VMware both in a very deep way over the past years and I was questioning myself why is Andy Jesse coming to San Francisco to announce a deal with VMware it seems like VMware is groping a lot of criticism on the false starts of the cloud I obviously knew something big was going on so I felt that but this my question but you're innovating so much at Amazon I slowed down to go work with VMware obviously it's the customers talk about the customer impact because this is important it's not that you guys are straying from the vision of AWS which is in the cloud a lot of innovation sets the services is this just another service for AWS well it's another service but it's a very different service you know to your point this is really gonna accelerate customer adoption then we're gonna make it easier for enterprise customers to move to the public cloud environment because they can leverage the same software licenses skill sets and tools that they've used to virtualize and build private clouds so now naturally extends in the V AWS environment and it should help everybody move faster and get all the goodness and the benefits of the cloud much quicker so you have two customers on there on the stage one was Western Digital they got a huge integration it's interesting the use case for him was analytics yes so that's an Amazon benefit tutor so it's not just VMware so the deal is VMware customers get to run the VMware stuff on to Amazon so you give them a lifeline for their business models Raghu was alluding to ours being more specific this allows them to preserve their licenses as well as give their customers a bridge to the future but the reality is there's a ton of services on the Amazon side that they're going to take advantage of it's not just they're gonna get Amazon they're naturally gonna use what services do you guys see the VMware customers using the most oh that's a great question and I think I mean it really runs the gamut if you look at you know analytics for sure I mean that's a no-brainer if you look at more of the innovation use cases that are happening around IOT the things that you know don't fit night they use cases that don't fit nicely into kind of your private data center because of the constraints that you have their Big Data obviously the variable kinds of workloads massive amounts of storage all that data that's coming off these IOT centers has to go somewhere that's three redshift I mean all of these things are just natural extension so you have to be completely candid I have a hard time thinking of any that would not you know be an extension to the because Dave Olave says there's a lot of cloud native agility and innovation coming on Amazon how is that going to connect into the VMware so the customers just say hey I'm a VMware customer I'm now gonna use vCenter and I got all my comfortable dashboarding and tooling and stacks technology of VMware mm-hmm now I go to Amazon I just plug into Amazon services directly yes I'll have an AWS account that's gonna spin up the AWS native services will run those alongside the VMware offering and through V Center and the management tools you leverage our API is into cloud wash logs and all of our different management functionality so to get a single view across that integrated landscape so the number one question I had coming into today was why it's Andy Jesse coming to San Francisco so in your own words how would you describe the magnitude of this deal for both AWS and for VMware but certainly you know perhaps the most unique deal we've done we've done a lot of strategic alliances we announced one last year at this time with Accenture that's one step shy of a joint venture that's been a big deal you know we've got a number of others we just announced one with sa P a few weeks ago here in San Francisco around the BW for Hana launch but in comparison in Mississippi you know obviously a big deal and the enterprise adoption has been up - can you comment on any color around uptake with the enterprises you know prior and visa V this announcement I'm sure it's gonna be a lot more this is an on-ramp of three million customers but in general Amazon was already winning in the enterprise correct yeah I mean the fastest-growing segments for us clearly are the enterprise and public sector I want to make sure we conclude public sector in there it's probably the first time in a series of Carlton great great doing a great job they're probably the first time in history of the IT world that the public sector in many cases is moving faster than the private sector it's one of my favorite stories to tell and yeah I noticed on the on the on the region map you had a gov cloud on there that is the public sector cloud so VMware customers in public sector can tap into that is that similar before it is on the roadmap to support our Dell cloud initiative you know I think that'll come in a kind of phase two but absolutely and we're finding - is most of the government's we're working with now government agencies don't require gov cloud they want you want to run in our public cloud because it's equally secure more secure more capacity more flexibility more choice Terry thanks so much for coming on sharing your thoughts here at the exclusive announcement in a nutshell what's the big takeaway for AWS folks customers and VMware customers what's the key message that you'd like this decision here yeah I think you know today we're you know even more relevant than we were yesterday in terms of the ability to actually serve at enterprise customers full suite of workloads faster more innovative and cost-effective awesome great thanks so much appreciate your time John Ferrier here in San Francisco the risk call for the exclusive Amazon Web Services in VMware big partnership thanks for watching [Music]

live from San Francisco California it's the queue at vmworld 2014 brought to you by vmware cisco EMC HP and nutanix now here are your hosts John furrier and Dave vellante okay welcome back and run live in San Francisco California this is the cube vmworld 2014 our 50 year covering vmworld I'm John for my coach Dave vellante Sanjay pune in the EVP and general manager end-user computing friend of the cube he's been on throughout his career at SAAP that he moves right across the street to VMware last year and great to see you great good to see back in the cube Thank You John's pleasure to be what a year right so last year you came on board guns blend Pat was really excited you've accomplished some of your goals I think you laid out I said what's your goals for next year you laid out some goals and then big acquisition AirWatch securities hot mobile was booming we are living in a multi cloud mobile infrastructure demand tell us what happened over the past year obviously big M&A give us the details yo John and Dave I was like on day like point five day one when I came down there cute but I was actually watching the replay and I'm like I actually said that and it made sense no it's been a great year and its really been a team effort so the first thing that I did was I said you know well before we decide the what and the how I really want to figure out who's on the bus so we really both kind of promoted a couple of key people within the company like kid Kohlberg remember kid was like the star of last year's show he's now our CTO and user computing what hired a couple of rock stars for the industry like summit the lawn and a few others who've really come in and shaped us and then as the team started to gel we then began to ask our customers what was the key missing part in our strategy and it was mobile it's very clear and we began to then ask ourselves listen if we're going to get into the mobile space you know do we build do we buy to we partner and we were winning deals in the desktop space primarily against Citrix we compete in there getting a lot of market share but the mobile space we'd lose deals and I go and ask our customers who you pickin and eighty ninety percent of time was AirWatch same time our CIO was doing an evaluation internally we were running on an SMB tool fiber link that then since got bought by IBM were running out of steam with it because as SME tool and I said listen you evaluate the market look at all the options and based on what you pick will probably influenced our acquisition decision they love their watch do so you know those were two or three key moments it's the franchise player in the team right I mean ultimately ultimately you know Mobile is today kind of that sizzle point if you're talking mobile cloud it is the sizzle point John Marshall and Alan dabiri came in they've added a lot so you know I talked to my keynote about three core pillars desktop mobile content collaboration we really feel like today when I was looking back we had a tenth of the portfolio last year this time and I think you know lots of good vision but now we actually a vision and substance right i think is pretty powerful so is it the lebron james who it was the is that the Tom Brady is it the Ray Allen you know the key role play I love basketball all those teams are great i think i'm some of my favorite all the Phil Jackson teams yeah my role is really to be the coach and to bring into the construct the Michael Jordan the Scottie Pippen's you know all that construct so that when you put together a world-class ski I really believe we have the best end-user computing team in the industry bar not and this team really is now packed with people and process and product innovation and that's what you've seen the last 12 months it's a real tribute to this fantastic and use a computing team so as you talk about the news this morning around SI p we didn't catch the detail that we were on the cube here can you just take us through some of those some of those key highlights I mean clearly I have a soft corner for a safe as you would expect that was there for seven years and have a tremendous respect they are the leader in business applications a tremendous player you know hundreds of thousands of customers and what we felt was if you could marry the best of breed aspects of what sa fie does well applications mobile applications cloud applications on-premise applications all of that what we do very well which is management and security for mobile and that's what our customers have among the 13 thousand customers of AirWatch probably the biggest basin enterprise rsap customers and they've been longing for better integration you know you but I what's going on over there you know we asked you I mean listen to the end of the day we want to do what's best for customers and you know so packed bill mcdermott myself talk Kevin ruchi bharani who was on stage and we felt that we could build integration between the mobile apps and the mobile platform of SI p where s if he is very good with the management and security of air watch where we're very good you get the combination to best debrief and I think the customer quote in that press release put it well so G Abraham basically said he was a CIO sigma-aldrich we love the fact that you're bringing together the best of breed aspects of mobile security from AirWatch with mobile apps and mobile platform Mississippi and that's a nessuno abdur for the enterprise because of reality because the challenge people are having is it was taking it was too hard it was taking too long so how does that change now with this integration I mean in essence era what AirWatch provides is an elegant simple cloud centric mobile management security solutions much more than MDM device management at Marikana management and you know in every ranking by the analyst they are the undecided gold medal now you can basically use that solution and make sure that your applications also work so let's say you're bringing up we showed in the demo an example of essay p medical records or maybe SI p furia Psychlo whatever have you you can now bring that up on a device that's secure and the posture is checked with their watch and that's the best combination of both and this could just apply to any application it could be a box it could be our own content locker SI p is a clearly the leader in business application I start sweet recently and said VMware working with apple and United Airlines to bring mobility airplanes all secured by air watch obviously United Airlines big customer GE and other things so the interface to pretty much everything whether it's big data is going to be some mobile or edge device is that the number one requirement that you're hearing from customers that it's not just mobile users is the Internet of Things part of this how do you see that that's interesting piece is that is that true don't absolutely I think well I talked about the United Airlines case start in fact it's right off the website of Apple you go to apple and look at the business case studies they have the United Airlines is one of those case studies in the case that is actually pretty simple you know you've got these pilots that are lugging around 30 40 pound bags lots of paper manuals their flight landing instructions now those are being digitized with iPads in the cockpit so as you think about what the future is everything goes digital that first invades the cockpit then the flight attendants habit so they can check to make sure they have a list of the passengers and they can serve their passengers better and that's the way the world is moving but then you take that same concept and you extend now to machines where every single potential machine that is on the Internet can be tracked can be managed and security and our proposition there is to manage and secure every possible machine and thing and then analyze the data coming out of it we think that's a huge opportunity FML touch in Chicago last year and the chairman of the United told me a one percent savings in efficiency just on just on gas is billions of dollars of real savings so you know this brings back down to the the whole concept it's not just an IT thing it's a business process thing so how far along are you seeing the customer base on things like this is it is where it's--okay IT got workers out there you know bring your own device to work okay but outside of that what is the the uptake if you will on really connected intelligence yeah i think it's a it's and when we have you know 13,000 customers that we've had their watched 50,000 our customers with horizon 500,000 customers we have vmware many of them start speaking and we're finding in a couple of industries and consumer packaged goods and retail industries people are looking at things like for example smart vending in devices medical devices the future of a protected medtronics was on stage and they are a rare watch customer they were talking about the fact that their vision is well beyond just the mobile devices every medical device being protected potentially by air watch you look at oil and gas customers practically almost every oil and gas customers in AirWatch customer there's going to be embedded intelligence inside a lot of the oil and gas machinery and infrastructure that protects people from potential damage we expect to be able to secure that so our proposition in that equation is the management and security of every machine and everything and then the beautiful part of it is beyond just management and security I think the analytics of data coming out of that is a treasure trove of incredible valuable places for big data you know we spoke with bill McDermott when you were also at sa p and they had a very vertical approach and when we go talk about the big data conferences with a Q veterans all this vertical we need to have a vertical niche to kind of be a major player or or even a differentiated niche player but how does that affect your business is it vertical eyes you mentioned a loyal and gas flow but you know airlines is there a horizontal platform that can work across the industries or is it specifically verticals you see up your levels now you're at a different you're the edge of the network what's your take on that do you have to be a vertical player or zero horizontal plane that's a great question Jon I think that as the world's leaf asta scrawing and biggest infrastructure software company VMware that's what we've been going from zero to you know roughly run rate six billion in 15 years there is fundamentally first off a horizontal play that goes across and cuts across many industries but very quickly we find as we were able to package solutions by industries so I talked for example at the keynote about the health care industry and how we were you imagine a doctor walking into their office moving from their office to the ward from their desktop to an iPad to potentially getting into the room and they then have a thin terminal client terminal and then they collaborate with their other doctor that has you know an iPad to healthcare is one example state and local public sector is a different example we're being successful education retail manufacturing we picked four or five verticals I been fortunate in the fact that much of my experience at SAAP was running the industries at SI p so i have a good amount of experience at industry solutions we're certainly not an application's player like i say p where we're going to vertical eyes in a vertical stack applications but you're going to see us drive solutions and when you drive industry solutions and let's say five or ten industries where we're relevant you're going to see our average selling price growth and differentiation is application-specific is tends to be vertical but as a platform product player you're this way yeah you don't wait fundamentally to start with but then you start creating solutions yeah which are scenarios that work in a particular industry to enable those guys exactly and we pick the five or ten industries where we think we're going to go focus and we're starting to see as we do that our average selling price growth everything they have some fools yeah you know what the other thing that happens is that you actually start becoming relevant to a line of business buyer beyond just idea and that's very important I was on the performance metrics give us some data can you share some of that pat was glowing with always performing well so can you share some numbers yeah I'll tell you what we did the last three quarters and growth this is the fastest growing the one of the fastest growing business units in q4 last year we grew thirty percent north of thirty percent in q1 or we announced we grew north of thirty percent again and then in q2 we said we grew north of fifty percent right and now some of that results the contribution of area watch but organic or inorganic we are growing and it's not a small business you can grow from one to two and that's a hundred percent this is a size of a part of VMware's revenue and a growing part of it we're talking hundreds of millions of here is that for ya I mean it's well over ten percent of the revenue and the growing percentage of the total company's revenue I think that this is going to become an increasing part of the embers total revenue total relevance the CIO and because a mobile cloud and a big part of the brand appeal of the inland I mean listen remember is well known as an infrastructure company done very well in the data center but the moment you start talking mobile and clouds you're appealing to the CIO and that's a very different type of conversation we want to raise the appeal of VMware I yield to the CIO and we think mobile it's a big market you guys did the TAM analysis Pat I probably has you doing that but whoever may be Jonathan it's a big chunk of it at his EUC a sizable pardon bigger than it was before and we just have to kind of grow into that Tam and then grow the tam further and that's and you started that kind of throw that sounds getting the flywheel effect going and the problem with VD I was always a cost cost cost and you know so it was a narrow niche this mobile it seems to change that hold concussion for my cost of value you know Dave it's a very good point first off mobile for us means more than just a device it means being on the move and on the move means you could be on the move and you're using a laptop here we got to think about the relevance of how you get solutions on to your laptop and desktop I think part of the reason video I gonna hit a little bit of a bump and some of our competitors have been stalling and declining is it's just too complex into costly and we fundamentally now reinvented a modern stack for desktop virtualization that runs on top of all the great innovation that we have in the software-defined data sound like virtual set like vSphere and a lot of things we're doing so all of a sudden the cost of EDI we can show we take down by at least thirty to forty percent that's a game changer now you add moberly to say listen when you go from a desktop or a laptop to a tablet or phone you've got the leader in mobile security and management AirWatch integrated the horizon this is what we announced with the workspace sweep and the final pillar is being able to share that content in a very simple yet secure way so think sort of Dropbox but all of a security and SharePoint brought you that's the third pillar all three of those desktop mobile and content extremely so you're saying saji the tipping point is the asset leverage that you're getting out of the infrastructure is you move toward this sort of software-defined thing that enables this type of decline in cost and accelerated growth absolutely and that's you know the whole aspect of how software has been done is you integrate things so your lower costs and you make it much much easier to be able to palette and by now either could be bottom premise or the cloud so we're seeing that connection of you know the head and the body think of the body being the traditional software-defined data center the head being end-user computing all the connective tissue muscle fiber blood vessels and so on so forth making that connected now makes us a lot more appealing than telling a customer listen by your data center infrastructure from VMware your desktop infrastructure from Citrix your mobile infrastructure from MobileIron and you're you know content collaboration solution from like 10 different starters right increasingly we think that that's not the way in which people are going to be buying software Sanjay just some highlights from the keynote looking here on Twitter through our little listening tool great reviews by the way electric flying speed she's gonna be CEO someday Pat heads up on that that was coming from the Trident that was this guy without a limiting move on stage when I said fat ought to be thinking about an ice bucket challenge so anyway rights beyond amazing executive really got really great reviews on the twittersphere besides a challenging pat calcium of the ice bucket challenge of which joe 2g already challenged so let's see how he's out of fun again oh fun in all seriousness two quotes i want to pull out from the twittersphere you said software in the modern cars more than the nasa spacecraft awesome comment when I pivot on that in a second the other one was Sanjay is emphasizing the importance of world-class infrastructure so first define world-class infrastructure from your perspective given your industry experience in vision for the future and to talk about how it relates to the modern car were just NASA and the change of speed of Technology you know John when I gave my keynote i put this beautiful picture of this incredible modern architecture in single protocol to marina marina bay sands tower it's three big towers I think 40 50 60 floors and a fantastic infinity swimming pools at the top and not been a Singapore you got to go there and check out the swimming pool at the top of it but the only way in which you could make those three towers work was world-class foundational infrastructure the three towers by the way was a metaphor to desktop mobile content collaboration and of course the beautiful workspace view at the top of it so the thrust the impersonalist well all of that to us the software-defined data center is the de facto interest so that makes a lot of that happen we feel very very fortunate and blessed to have the world's best infrastructure that makes that happen virtual server storage networking management all of that put together allows me to be able to build world-class towers on top of that and the end of the day it's not just solid it's lower cost of ownership in the opportunity now my comment about the the 1970s spacecraft and so just to say that today we live in a software economy it's not to say that hardware is not important but someone joked that software is like the wine and hardware is like the bottle while it was important but the the software glue really ties Harvard together in a very special way and that's really the genius of what's making everything whether it's a device whether it's a machine even more relevant and that clearly was defined in 1972 spacecraft but today you can see this invading automobile thermostat refrigerator vending machine that we believe the future so how to ask you to shoot the arrow forward what are you getting excited about I'll see the accelerated pace of change from the spacecraft to the car after you mention the United Airlines and Apple it's a well documented as an end user environment certainly the interfaces everything and that seems to be the focus area what's your view what is exciting where's the inflection point enabling technology that you're watching from the foundation only to the top I mean listen i spent seven years at SAAP primarily in the analytics and big data space and then fire that another five years that companies like in thematically and I've just my life has been about end-users and whereas we came in here we coined this phrase which is our big broad vision we want to allow end-users to work at the speed of life so if you think about your life in the consumer world you don't lug around 300 CDs into your car you have an ipod you have an iphone your connect to the iCloud and it's all seamlessly there you watch a movie you start off on netflix you go from San Francisco to New York to Barcelona you may start and then stop you know someplace else and you can you can start exactly where you stop house of cards or whatever have you watching enterprise software has been unfortunately hard to use complex hard to implement and the more that we can make enterprise software simple simple and secure we to do the security part of it pretty good we tend to do the simplicity part so i think enterprise software companies can actually take a page out of the book of consumer software companies on the simplicity now the consumer companies could take a lesson out of the book from us and security and but when you put simplicity and security together you get magic when you could put together control and choice together you get magic so it's not the consumerization of IITs we all love it's the IT of consumers each other you could really flip that around like dead laptop staff I mean there's so many different place in the words that you could do that's exactly the way but I think that's a great point Sanjay thanks so much for coming to Cuba congratulations on a great keynote and thanks for coming to spend your valuable time with us here of the cube appreciate it we live here in San Francisco we write back with our next guest after the short break thanks John