>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019 brought to you by UI path. >>Welcome back everyone to the cubes live coverage of UI path forward here at the Bellagio in Las Vegas, Nevada. I'm your host, Rebecca Knight, co-hosting alongside at Dave Vellante. We are joined by Gavin Jackson. He is the senior vice president and managing director EMEA at UI path. Thanks so much for coming on the phone. You are brand spanking new to the company. You were at AWS for four years, joined UI path in September. I want to start this conversation by having you talk a little bit about what, what appealed to you about UI path and what do you want to make the leap after four years at AWS? >>Yeah, so I've, I had the privilege to be of really having a really close proximity to enterprise customers and getting the opportunity to listen to what they really wanted when they were talking about their digital transformation journeys. And as it turns out, the sort of cloud first and the automation first eras, if you will, our operating models are to two sides of the same coin. If you think about what the cloud proposition has been over the last number of years, it's really been about sort of reducing or eliminating the undifferentiated heavy lifting so that builders can build. And then that turned into an operating model principle and then became sort of cloud first as the same thing for the automation world. Uh, you know, we are reducing and eliminating the undifferentiated heavy lifting of, of, of, of, of product, um, uh, uh, business processes and tasks and everything else, whether they're complex tasks or simple tasks, removing that so that builders can build and business people can innovate and uh, giving them the freedom to do what they need to do as business owners. >>No, I'm going to keep pushing on this. There's similarities and differences because we're seems to break down is where RPA is focusing on the citizen developer or the, the end user. I'm afraid of AWS. I won't go near it. I see that console. I go, Oh, call my techies. Hey, you know, AWS is, you know, you gotta be pretty technical to actually leverage it. At the same time I'm thinking, well maybe not. Maybe my builders are building things that I can touch, but help us square that circle. >>So I think your, the world is trending towards as much automation as possible. So if it can be automated or if you can reduce the, the, uh, the, the, the burden to get to innovation. I think, you know, technology is moving in that way. Even in coding. I think the trends we're seeing, whether it's AWS or anyone else, is low to no code. And so we, we occupy a world within the RPA space or the intelligent automation space where we're providing tools for people that don't need a requirement or, or a skillset to code. And they can still manufacture, if you will, their own automations. And particularly with a release that we have, we're just today, which is studio X. It really kind of reduces the friction from a business user who has zero understanding of how to code to build their own automations, whether it's kind of recording a process or just dragging and dropping different components into a process. Uh, even like even I could do that. And that's saying something. I can tell you >>your alter ego is Tony stark. Yes, exactly. Yeah. So just in terms of this idea of democratizing the, the automation, the building, you said even just someone who is pretty decent at excels. Yes, very much so. What will this mean? I mean, what, what, what does, what does that bode for the future of how work gets done? Because we, that is at the core of what you're doing is scientifically understanding how and where work gets done. Where are the bottlenecks, where are the challenges and how can RPA fix this? >>So I think ultimately like a lot of technologies, it's really about the exponential curve of productivity and whether you're looking at a national level or global level or company level, a human level at every level, productivity have declined really over the last number of years and technology hasn't done a great job to improve that. And you can say that some technologies, I've done a good job, again, I'd use AWS as a good job in terms of the proliferation or the prolific. You can get more code out and more, more progress there, but overall productivity has declined. So our sort of view of the world is if you can democratize automation, if you can use a Oh, add a digital workforce to your, to your, to your teams, then you'll have an exponential curve of productivity, which are human level is important at a company level is important and national level is important and probably at global level is important, right? >>We're at this tipping point for technology really unlocking a lot of value. One of the things that your former boss, Jeff Bezos said was bet on dreamy businesses that have unlimited upside. These, these streaming businesses, customers love them. They grow to very large sizes. They have strong returns on capital and they can endure for decades. I wonder if you could put UI path in that context of a dreamy business. >>What does he know? Right. I mean, no is absolutely right. I mean, so, um, and this is one of the reasons I was attracted by the way to do UI path because I think, I think that the robust themselves, if you can just kind of look at the subcategory of the robot. Um, I think it's on a similar curve to how Gordon Moore was talking about the Intel microprocessor in 1965 and the exponential curve of progress. I think we on that similar curve. So when I sort of project five years from now, I just think that the amount that robots will be able to do, the cognitive kind of capabilities that we'll be able to do are just phenomenal. So, um, and customers, customers give us feedback all the time about to, to things they love and they value what we do. The value is important because it's very empirical for the first time they can actually deploy a technology and see almost an immediate return on that technology. >>Whether it's a point technology solving one process or a group of processes, they can see an immediate empirical return. The other thing that I like to measure and I quite like is that they value it. Sorry. They, they, they love, they love and value it. So they love it. Meaning it actually induces an emotion. So when you, when you watch the robots in action and they watch something that has been holding your team back or that has been stifling productivity or whatever it is, people get giddy about it. It's quite fascinating to see, comment about Gordon Moore and tie that to digital transformation. When I think of digital transformation, I think of data like what's the difference in a business in a digital business? That's how they use data. They put data at the core and for years we marched to the cadence of Moore's law and that's changed. >>It's not what the innovation engine is today. It's machine intelligence, it's data and it's cloud for scale. Where do you guys fit? I mean obviously AI is a piece of that, but, but maybe you could add some color to where RPA fits in that equation. So I think that's an important point because there's a lot of miscommunication. I think about really what it means when you talk about digital transformation and what it means to be digitally transformed and really digitally transformed. You're really talking about a category of customers which are large more institutional enterprises and governments because they have something to transform. What they're transforming into is more of a digital native sort of set of attributes, more in search and mindsets. And these companies are, to your point, they're very data hungry. They harvest as much data as they can from, from value, from data. >>They're very customer centric. They focus on the customer experience, they use other people's resources. Know the cloud being one great example of that and the missing point from what you said is they automate everything they born automated. So part of the digital transformation journey is that if it can be automated, it will be automated and anything that's new will be born automated. So let me ask you a follow up on that. Is there a cultural difference in AMEA versus what you're seeing in North America in terms of their receptivity to automation? I mean there are certain parts of of Europe which are more protective of jobs. Do you see a cultural difference or are they kind of, I mean we do see even some resistance here, but when you talk to customers they're like, no, it's wonderful. I love it. What are you seeing in Europe? >>So I don't, I don't see much of a cultural difference there. And I actually don't, I don't see yet. I haven't seen any feedback yet. It's very, I'm very new still, but I haven't seen anybody talk about really the, this technology is a technology to take jobs out. I think most people see this technology as a way of getting better performance at the humans, you know, pivoting them towards more. So I would say like in some markets in my, in my, in my prior life, in many prior lives, I would say that there are some countries like France for example, that would have been a little bit more stayed within their approach to new technologies and adoption, not so with regards to automation. They see this as a real gain productivity increase. I think that's true for people who have tasted it. But I do think there's still some reticence in the ranks until they actually experienced it. That's why we will talk to some customers about it. They'll have bought Athens and just just to yeah, to educate people on what's possible to let them try to build their own robots and then people, then the light bulbs go off. >>Yeah. That's 0.2 is that it, that it's taking away the aggravations, the frustrations, the mundane, the drudgery. And then you said people get giddy about those things when they don't have to do that anymore. Um, but then the question is also so, so what creative things are you doing now? So how are you spending your time? What are you doing differently that makes your job more interesting, more compelling? And I think that that's the real question too. So what is the, okay, yes we're saving some money and people aren't having to do this mundane tasks. But then what are, what is the value add that the employees are now bringing to the table? >>Yeah, so an actually said it and they've made the right point as well in terms of the mechanism for doing that is that part of the battle here is to spark the imagination and just like anything really just let it like in back in the Amazon world is sort of our spark in the imagination. If you can, if you can imagine it, you can build it. It's the same thing really with within our world now is it is figuring out with customers what things, what tasks did they do that they hate doing either a user level or a or a or a downstream level. What are the things that they really want to do that they need our help to harvest. And so we do the same sort of the same sort of things that we would have done with AWS where we did lots of hackathons and your bulldozer technology partners in with us and we were sort of building all of this. >>We do the exactly the same thing with the RPA space. It's exactly the same. This is really important because creativity is going to become an increasingly important component because if productivity goes up, it means you can do the same amount of work with less people. So it is going to impact jobs and people are going to have to be comfortable to get out of their comfort zone and become creative and find ways to apply these technologies to really advance, you know, drive value to their organizations. And actually I look at this as well as a longterm technology, right? As a longterm technology, as something that's important for my children. I have three and they're still very young, so 1210 and six but eventually they will go into the workplace with these skills embedded. They will just know that the, how you get one done is you have your robot do a whole load of task for you here and your, your job is to build and to be creative and to harvest data and to manipulate data and serve customers and focus on the customer experience. That's really what it's all about. The real brain. >>Absolutely. Absolutely. Kevin, a pleasure having you on the show. Great luck at UI path. Thank you so much. I appreciate it. I'm Rebecca Knight for J for Dave Alante. Please stay tuned for more from the cubes live coverage of UI path coming up in just a little bit.

you live from Las Vegas it's the cube covering you I pat forward America's 2019 brought to you by uipath welcome back everyone to the cubes live coverage of UI path forward here at the Bellagio in Las Vegas Nevada I'm your host Rebecca night co-hosting alongside Dave Volante we are joined by Gavin Jackson he is the senior vice president and managing director amia at uipath thanks so much for coming you are brand spanking new to brands thanking you AWS for four years yeah joined UI paths in September yeah I want to start this conversation by having you talk a little bit about what what appealed to you about UI path and what more do you want to make the leap after four years at AWS yeah so I had the privilege to be west of really having a really close proximity to enterprise customers and getting the opportunity to listen to what they really wanted when they were talking about their digital transformation journeys and as it turns out the sort of cloud first in the automation first eras if you will are operating models at to two sides of the same coin if you think about what the that the cloud proposition has been over the last number of years it's really been about sort of reducing or eliminating the undifferentiated heavy lifting so that builders can build and then that turned into an operating model principle and it became sort of cloud first it's the same thing for the automation world you know we are reducing and eliminating the undifferentiated heavy lifting of Tata a product of business processes and tasks and everything else whether they're complex tasks or simple tasks removing that so that builders can build and business people can innovate and given them the freedom to do what they need to do as business owners think about AWS we obviously follow them very closely yeah anybody but it strikes you didn't thank you such are filters yeah what's the analog so what I think we again I would say that we are we are providing tools so the builders could build but at the same time our our products that works across the entire business stack whether that is sort of automation first as an operating principle across all businesses or whether it's across a business persona whether it's a CFO or somebody in accounts or a salesperson or whatever might be we're building tools that take the mundane tasks away from those users so that they have the freedom to go and serve their customers or or innovate within finance or do the do the job that they really love doing and that's really important for the business it turns out there's not a lot of value and a lot of the work that people do every day so if we can remove some of that then innovation will have an exponential curve of progress and that's what we're focused on today yes yeah again there are similarities there so if I understand the you're shifting one date asked allowing people freeing them up to do so that they can have a strategic impact in their business yes yeah yeah I think it is so if you look at even the technology paradigms and how cloud and AWS evolved and then also the layer on how uipath is evolving in the same way so you have computing and compute power started really with the mainframe and went to distributed servers and then to virtual machines and then from virtual machines it went to hosted virtual machines in the cloud and then from then it went to containers and now we're in this world of server lists we're in the cloud right so effectively the logic lives in server lists and the infrastructure sort of disappears and that provides massive scale in the automation world you started off with big monolithic processes you then had sort of network processes with software and data in the middle of all of that networked RPA really came in as an early sort of tool to help automate a lot of that a lot of processes and now in the realms of sort of automation as a function where in the end like the end game really is where automation is the application and the the applications themselves the data sources the processes really disappear so that the best done analogy I can come up with a metaphor acting um up with is I'm a Marvel fan I'm a geeky kind of Marvel fan of my favorite character is his Iron Man or Tony Stark and more specifically the Jarvis AI so what's happening all the time with with Tony Stark in the Jarvis a is he's interacting with his AI user interface all the time and what's happening in the background is that Java she's working with probably you know a hundred different applications and a hundred different data sources and everything else and rather than having you know a human go and do what the integration work that robots are doing that for him and it's just coming back as a as an outcome yeah I'm gonna keep pushing on this yeah similarities and differences because where it seems to break down is where our PA is focusing on the citizen developer the the end-user I'm afraid of AWS I won't go near it I see that console I call it my techies hey you know AWS is you know you got to be you know pretty technical to actually leverage it at the same time I'm thinking well maybe not maybe my builders are building things that I can touch but help us square that circle yeah so I think you the world is trending towards as much automation as possible so if it can be automated or if you can reduce the the burden to get to innovation I think you know technology is moving that way even in coding I think the transit we're seeing whether it's AWS or anyone else is low to no code and so we we occupy a world within the RPA space or the intelligent automation space where we're providing tools for people that don't need a requirement or or a skill set to code and they can still manufacture a few world their own automations and particularly with a release that we're just announcing today which is Studio X it really kind of reduces the friction from a business user where's zero understanding of how to code to build their own automations whether it's kind of recording a process or just dragging and dropping different components into a process even like even I could do that and that's saying something I can tell you yes exactly yeah this idea of democratizing the the automation the building that you said yeah very much so what will this mean I mean what what does what does that bode for the future of how work gets done because that is at the core of what you're doing is typically understanding how and where work gets done or the bottlenecks where the challenges and how can our PA fix this so I think ultimately like a lot of technologies it's really about the the exponential curve of productivity and whether you're looking at a national level a global level a company level a human level every level productivity has declined really over the last number of years and technology hasn't done a great job to improve that and you can say that some technologies have done a good job again I'd use a TBS is a good job in terms of the proliferation or the how prolific you can get more code out and more more progress there but overall productivity has declined so our sort of view of the world is if you can democratize automation if you can use or add a digital workforce to your to your to your teams then you'll have an exponential curve of productivity which a human level is important company level is important a national level is important and probably at global level is important you know you guys might be right place right time as well yeah because I remember you know all the spending in the 80s said receive growth everywhere except the Nobel prize-winning economist Robert Solow yeah [Laughter] [Music] you guys are hitting it right at the right time yeah you be able to take credit for a lot of it but yeah your thoughts on that in terms of productivity depending yeah I think it is pent up I think that is where where we're at right now and it's ready to be unleashed and I think that these technologies are are the technologies that will unleash it I think really what's happened over the last number of decades probably is that the six trillion dollar IT industry they exist today has largely kind of increased productivity or performance of other technologies it hasn't really increased output so whether it's sort of you know the core networking when Cisco started core networking there was a big increase I would imagine in connectivity and outputs then the technologies that were laid on top of that maybe less so and it was just really kind of putting bad band-aids on problems so it was really technology solving technology problems rather than technology solving human output problems and so I think that this is now the most tangible technology category that really is turning technology into value and productivity for technology really unlocking a lot of value one of the things that your former boss Jeff Bezos said was bet on dreamy businesses that have unlimited upside these these dreamy businesses customers love them they grow to very large sizes they have strong returns on capital and they can endure for decades I wonder if you could put you iPad in that context of a dreamy business what does he know right I mean nobody right I mean so and this is one of the reasons I was attracted by the way to DUI path because I think I think that the robots themselves if you can just kind of look at the subcategory of the robot I think it's on a similar curve to how Gordon Moore was talking about the Intel microprocessor in 1965 and the exponential curve of progress I think we were on that similar curve so when I sort of project five years from now I just think that the amount the robots will be able to do the cognitive kind of capabilities it will be able to do are just phenomenal so and customers customers give us feedback all the time about to two things they love and they value what we do the value is important because it's very empirical for the first time they can actually deploy a technology and see almost an immediate return on their technology whether it's a point technology solving one process or a group of processes they can see an immediate empirical return the other thing that I like to measure I quite like is that they value it so they think they love it they love and value it so they love it meaning it actually induces an emotion so when you when you watch the robots in action and they watch something that has been holding your team back or there's been stifling productivity or whatever it is people get giddy about it it's quite fascinating to see comment about Gordon Moore and Ty that's a digital transformation when I think of digital transformation I think of data yeah what's the difference in a business in a digital business it's how they use data yeah they put data at the core and four years we march to the cadence of Moore's law and that's changed its that that's not what the innovation the engine is today it's it's machine intelligence it's data and it's cloud for scale where do you guys fit I mean obviously AI is a piece of that but but maybe you could add some color to where our PA fits in that equation so I think that's an important point because there's a lot of miscommunication I think about really what it means when you talk about digital transformation and what it means to be digitally transformed and really to see transformed you're really talking about a category of customers which are large more institutional enterprises and governments because they have something to transform what they're transforming into is more of a digital native sort of set of attributes more insurgent mindsets and these companies are to your point they're very data hungry they harvest as much data as they can from from value from data they're very customer centric they focus on the customer experience they use other people's resources oh the cloud being one great example of that and the missing point from what you said is they automate everything they've to meet it so part of the digital transformation journey is if it can be automated it will be automated and anything that's new will be born automated so let me ask a follow-up on that is there a cultural difference in amia versus what you're seeing in North America in terms of the receptivity to automation I mean there are certain parts of of Europe which are you know more protective of jobs do you see a cultural difference or are they kind of I mean we do see even some resistance here but when you talk to customers they're like no it's it's wonderful I love it what are you seeing in Europe so I don't I don't see much of a cultural difference there and I see don't I don't see yet I haven't seen any feedback yes Peres I'm very new still but I haven't seen anybody talk about really that this technology is a technology to take jobs out I think most people see this technology as a way of getting better performance out of humans you know pivoting them towards more so I would say like in some markets in my in my in my prior life in in many prior lives I would say that there's some countries like France for example that would have been a little bit more stayed within their approach to new technologies and adoption not so with regards to automation they see this as a real and game productivity increase thank you I think that's true for people who have tasted it yeah but I do think there's still some reticence in the ranks until they actually experience it that's why we'll talk to some customers about it they'll have bought a Thon's and just a yeah to educate people and what's possible to let them try to build their own robots and then people then the light bulbs go off that it's taking away the aggravations the frustrations the mundi the drudgery and then you said people get giddy about those things you don't have to do that yeah but then the question is also so so what creative things are you doing now so how are you spending your time what are you doing differently that makes your job more interesting more compelling yeah and and and I think that's the real question - so what is the okay yes receiving some money and people aren't having to do those mundane tasks but then what are what is the value add that the employees are now bringing to the table yeah so in actually sit and it takes made the right point as well in terms of the mechanism for doing that is the the part of the battle here is to spark the imagination just like anything really just let you like it back in the Amazon wild it's all of our spark in the imagination if you can if you can imagine it you can build it it's the same thing really with within our world now is figuring out with customers what think what tasks do they do that they hate doing either a user level or a downstream level what are the things that they really want to do that they need our help to harvest and so we do the same sort the same sort of things that we would have done with AWS where we did lots of hackathons and you bought lots of technology partners in with us and we would sort of building all of this we do exactly the same thing with the RP a space it's exactly the same this is really important because creativity is going to become an increasingly important because if productivity goes up it means you can do the same amount of work with less people so it is going to impact jobs and people are gonna have to be comfortable to get out of their comfort zone and become creative and find ways to apply these technologies to really advance but you know drive value to their organizations and actually I look at this as well as a long term technology whereas a long term technology is something that's important for my children I've three and they're still very young so twelve ten and six but eventually they will go into the workplace with these skills embedded they will just know the how you get work done is you have your robot do a whole load of tasks for you here and your your job is to build and to be creative and to harvest data and to manipulate data and and serve customers and focus on the customer experience that's really what it's all about the real brain works I've been a pleasure having you on the show at uipath thank you so much appreciate it i'm rebecca night for j4 day Volante please stay tuned for more from the cubes live coverage of uipath coming up in just a little bit

>> Hey welcome back everybody, Jeff Frick here with theCUBE. We are in downtown San Francisco at the Mission Bay Convention Center at Node Summit 2017. We've been coming to Node Summit off and on for a number of years. And it's pretty amazing, the growth of this application for development. It really seems to take off. There's about 800 or 900 people here. It's kind of the limits of the facility here at Mission Bay. But we're really excited to be here. And it's not surprising to have me see Intel is here in full force. Our first guest is Monica Ene-Pietrosanu. And she is the Director of Software Engineering for Intel, welcome. >> Thank you, hello, and thank you very much for inviting me. It's definitely exciting to be here. Node is this dynamic community that grows in one year, like others can. So it's always exciting to be part one of these events. And present about the work we are doing for Node. >> So you're on a panel later on Taking Benchmarking to the Next Level. So what is that all about? >> That is part of the work we are doing for Node. And I want to mention here the word stewardship. Intel is a long time contributor in the open source communities. And has assumed a performance leadership in many of these communities. We are doing the same for Node. We are driving, we are trying to be a steward for the performance in OJS. And what this means, is we are watching to make sure that every check in that happens, doesn't impact performance. We are also optimizing Nodes, so it give the best of the hardware, Node runs best on the newest hardware that we have. And also, we are developing, right now new measures, new benchmarks which better reflect the reality of the data center use cases. The way your Node is getting used in the Cloud. The way Node is getting used in the data center. There are very few ways to measure that today. And with this fast development of the ecosystem, my team has also taken this role of working with the industry partners and coming up with realistic measures for the performance. >> Right, so these new benchmarks that you're defining around the capabilities of Node. Or are you using old benchmarks? Or how are you kind of addressing that challenge? >> We started by running what was available. And most of the benchmarks were quite, let's say, isolated. They were focused on single Node, one operation, not realistic in terms of what the measurements were being done for the data center. Especially, in the data center everything is evolving. So nothing is just running with one single computer. Everything is impacted by network latencies. We have a significant number of servers out there. We have multiple software components interacting. So it's way more complex. And then you have containers coming into the picture. And everything makes it harder and harder to evaluate from the performance perspective. And I think Node is doing a pretty good job from the performance perspective. But who's watching that it stays the same? I think performance is one of those things that you value when you don't have it, right? Otherwise you just take it as granted, like it's there. So, my team at Intel is focused on top tier scripting languages. We are part of this larger software organization called Software and Services Group. And we are, right now, optimizing and writing the performance for Python, No-gs, PHP HHVM, and for some of the top tier languages used in the data centers. So Node is actually our interesting story in terms of evolution. Because we've seen, also, an extraordinary growth. We've seen, it's probably the one who's doubled for the past three years. The community has doubled. Everything has doubled for Node, right? Even, the number of commits, it depends on which statuses you look-- >> They're all up and to the right, very steep. >> Yeah, so then it's a very fast progress which we need to keep pace with. And one thing that is important for us is to make sure that we expose the best of our hardware to the software. With Node that is taking an interesting approach. Because Node is one of, what we called CPU front end bounce. It's having a large footprint. It's one of the largest footprint applications that we've seen. And for this we want to make sure that the newest CPUs we bring to market are able to handle it. >> I was just going to say, they have Trevor Livingston on it from HomeAway. Kicked off things today. We're talking about the growth. He said a year ago, they had one Node JS project. And this is a big site that competes with, like, Air B&B. That's now owned by Expedia. Now they say, he said, they had, "15 projects in production. "22 almost in production, and 75 other internal projects." In one year, from one. So that shows pretty amazing growth and the power of the application. And from Intel's point of view, you guys are all in on cloud. You're all in on data centers. You've all seen all the adds. So you guys are really, aggressively taking on the optimization, for the unique challenges and special environment that is Cloud. Which is computing everywhere, computing nowhere. But at the end of the day, it's got to sit on somebody's servers. And there's got to be a CPU in the background. So you look at all these different languages. Why do you think Node has gone so crazy? >> I think there are several reasons. And my background is a C++ developer, coming and security. So coming into the Node space, one thing amazed me. Like, only 2% of the code is yours, when you write an application. So that is like-- >> Jeff: 2%? >> So where is the other 98% coming from? Or it's already pre developed. It's an ecosystem, you just pull in those libraries. So that's what brings, in addition to the security risks you have. It brings a fantastic time to market. So it enables you as the developer to launch an application in a matter of days, instead of months or a year. So time to market is an unbeatable proposition. And I think that's what drives this space. When you need to launch new applications faster and faster, and upgrade. For us, that's also an interesting challenge. Because we have, our super road maps are not days, right? Are years? So what we want to make sure is that we feed back into the CPU road map the developments we are seeing into this space. I have on my team, I have several principal engineers who are working with the CPU architects to make sure that we are continuously providing this information back. One thing I wanted to mention is, as you probably know, since you've been talking to other Intel people, we've been launching recently, the latest generation server, Skylake. And on this latest generation Nodes. So all the Node workloads we've been optimizing and measuring. So one point five x performance improvement, from the prior generation. So this is a fantastic boost. And this doesn't happen only from hardware. It happens from a combination of hardware and software. And we are continuing to work now with the CPU architects to make sure that the future generation also keeps space with the developments. >> It's interesting, kind of the three horsemen of computing, if you will, right? There's compute, there's store, and there's IO. And now we're working, and it's interesting that Ryan Dahl, it's funny, they brought up Ryan Dahl. We interviewed him back at the Node JS, I think back in 2011? Still one of our most popular segments on theCUBE. We do thousands of interviews a year. He's still one of the most popular. But to really rethink the IO problem, in this asynchronous form, seems to be just another real breakthrough that opens up all types of capacity in compute and store. When you don't have to sit and wait. So that must be another thing that you guys have addressed from coming from the hardware and the software perspective? >> You are right on spot, because I think Node, comparing to other scripting languages brings more into the picture, the whole platform. So it's not only a CPU. It's also a networking. It's also related to storage. Also, it makes the entire platform to shine if it's optimized to the right capability. And we've been investing a lot into this. We have all our work is made available is open source. All our contributions are up-streamed back into the mainstream. We also started an effort to work with the industry in developing these new workloads. So last year at Node Interactive, we launched one new workload, benchmark, for Node. Which we called Node DC. With his first use case, which is an employee information system, simulating what a large data center distributed application will be doing. This year, now at Node Summit, we will be presenting the updated version of that, one point zero, this time. It was version zero point nine, last time. Where we added support for containers. We included several capabilities to be able to run, in a configural manner, in as many configurations as needed. And we are also contributing this back. We submitted it to the Node Foundation. So it becomes an official benchmark for the Node Foundation. Which means, every night, after the build system runs, this will be run as part of the regressions. To make sure that the performance doesn't degrade. So that's part of our work. And that's also continuing an effort we started with what we call the languages performance portal. If you go to languagesperformance.intel.com we have an entire lab behind that portal, in which every night we build this top tier scripting languages. Including Python, including Node, including PHP, and we run performance regressions on the latest Intel architecture. So we are contributing the results back into the open source community, to make sure that the community is aware if any regression happens. And we have a team of engineers who jumps on those regression center root causes and analyzes it. So to figure it out. >> So Monica, but we're almost out of time. But before I let you go, we talked before we got started, I love Kim Stevenson, I've interviewed her a bunch of times. And one of the conversations that we had was about Moore's Law. And that Moore's Law's really an attitude. And it's kind of a way to do things more than hitting the physical limitations on chips, which I think is a silly conversation. You're in a constantly, the role of constantly optimizing. And making things better, faster, cheaper. As you sit back and look at, kind of, what you've done to date, and looking forward, do you see any slowdown in this ability to continue to tweak, optimize, tweak, optimize? And just get more and more performance out of some of these new technologies? >> I wouldn't see slow down. At least from where I sit on the software side. I'm seeing only acceleration. So, the hardware brings a 30%, 40% improvement. We add, on top of that, the software optimizations. Which bring 10%, 20% improvements as well. So that continuously is going on. And I am not seeing it improving. I'm seeing it becoming more, there is a need for customization. So that's where when we design the workloads, we need to make them customizable. Because there are different use cases across the data center customers. So they are used differently. And we want to make sure that we reflect the reality. That's how they're in the world. And that's how our customers, our partners can also leverage them, to measure something that's meaningful for them. So in terms of speed, now, we want to make sure that we fully utilize our CPU. And we grow to more and more cores and increase frequency. We also grow to more capabilities. And our focus is also to make the entire platform to shine. And when we talk about platform we talk about networking. We talk about non volatile memory. We talk about storage as well as CPU. >> So Gordon's safe. You're safe, Gordon Moore. Your law's still solid. Monica, thanks for taking a few minutes out of your day and good luck on your panel later this afternoon. >> Thank you very much for having me here. It was pleasure. >> Absolutely, all right, Jeff Frick checking in from Node Summit 2017 in San Francisco. We'll be right back after this short break. Thanks for watching. (upbeat music)