>> Live from Orlando, Florida It's the Cube covering Enterprise Connect twenty nineteen brought to you by five nine. >> Welcome back to the cubes. Continuing coverage of Day one of Enterprise Connect twenty nineteen in Orlando. I'm Lisa Martin with my co host student a man. And we're excited to be joined by a first time member visitor to the cue. Bryan can the CMO at five nine. Ryan, welcome to the Q. >> Thank you. Good to be here. Thanks for having me. >> Well, thanks for having the Cuban the five nine booth context. There was a service. Tell us a little bit about first of all this event, this event is as to when they were talking about about twenty eight twenty nine years. Lots of evolution from your perspective. Today, what is enterprised connect twenty nineteen. And what opportunities This is going to provide somebody like yourself in terms of the modern marketing. >> Yeah, it's really interesting. Modern markings obviously evolved cms cr m contacts and are all part of the modern marketer. I think this show really proves out how much that modern marketing idea the spaces expanded this my first time here. It's amazing. See, all the companies, all sorts of different technologies, they're coming to market and some have been here for a while. >> One of the things I find really interesting is that you know, we're all consumers everyday way. Want to transact things on our phones, tablets, video chat, this idea of Omni Channel, where the consumer is so empowered way sort of bring these demands to the surface of whatever my problem is, if I'm trying to transact something or I'm trying to get information on mortgage a pre approval or something, I want to be ableto have a company, be able to follow my conversation regardless of channel, and then have enough data to take action on in a timely manner. Where, in your thoughts, from a modern marketing perspective, where are we in terms of maturation of like integrated Omni Channel? >> Yeah, that's a great question. I think we're finally at a mature, pointed technology where we can start to meet the demands of the consumer that salutations with consumer. Obviously, that's the dream scenario for everyone have follow me on my terms, not on the company's terms, I think five nine, we want to make sure that no matter where your customers or your prospect is that we're there to meet them on there, they're channel whether it would be >> so, Ryan, when I look around, a show like this cloud is something that has really transformed what this was. You know, I've looked at what watch? Really? From the end of the early days of companies like sales force, you've got some background there. A cz too, You know the enterprise. Is it OK? Can I trust it? Today? Cloud is here. It's not going anywhere. Major piece of the landscape when you're talking, you're customers, you know? How does that fit into the environment? You know, have they gotten over some of the, you know, kind of legacy it mindset of, you know, because I'm not sure if I'm safe to go out there, >> that is we're at a critical point right now where the contacts and her started. Out of all, a lot of the companies have built on from contact centers are starting to age out. What we're hearing from our customers is that the cloud is has never been more important. And the reason because of that is the data that they're collecting from all their different touchpoints. How do you collect it? How to use it together? How do you make it coherent and make it into a clear plan. The only way you could get the data out is to have it all in the clouds. >> So, Brian, I'm glad you brought up data because when we look at our research, data is at the center of everything. Obviously majorly important cloud. I can't have a I if it's not for the data. Exactly. I think back to you know, my first job out of college, I worked in a call centre. We talked about data being important way talked about. Oh, we're goingto have a database that's going to help you get your customer's information fast. That was back in the nineties. Yeah, it's very different today. Can you talk about how things are different today when we talk about data? How does that drive your businesses? Five nine. And your role is the CMO today. >> Yeah, well, the first thing about five nine is that we have over five billion minutes of data. Conversational data data has evolved over time. Early on, we had a lot of what we call operational data data that says how many people have flickering website how many people have viewed impressions and things of that nature five nine with really interesting is this. Things that we talked about is contextual data where your customers asking for where they want. They're literally on the phone telling you what's wrong. So that meantime, two resolutions really important. But if you start to look at that data deeper, you can start to predict what your customers are looking for from her services from your products. I think that's what's really gonna be transformational. And as a marketer, I've spent a lifetime looking at that user data and always under trying to ask the question, what our customers saying where they want behind the data. And now we're starting to look at that and marrying those two data sets together. I think that's gonna be the next evolution of data. And that's why I think at five nine, that conversational data, along with operational data as a marker that's really important with Ford. >> So one of the things that I'm interested in is you have a lot of organizations in any industry that are reactive. They want to get too proactive and eventually to predictive what some of the things that an organization, whether it's a telco or a financial services organization. How can they remove some of the barriers in the way between a contact center and those customers so that they can glean those actionable insights in a timely manner? >> Yeah, I mean, it's really about the connection between your earlier question about why the context is so important. You see all the companies here, they're starting to be more and more companies driving into this space, really looking at a I. So the two things that we've touched upon already is the power of the cloud Howard. The data part of a eye to look at all that data and make certain prediction certain conclusions from that data so that you can start to have a clear path to your customer and react faster. It's all about zero distance to your customer. >> Ryan, Can you bring us in the customer experience? I think you know, we've all had, and it put times as a consumer where you're frustrated. I can't buy stuff on the Web site. I've called, you know, interactive voice response or not my favorite thing to deal with. So, you know, if companies aren't using solutions like yours, you know what are they in danger of, >> well, your customers? Their prospects are really the heart of every business right, and part of that is, your brand is really important in those moments when they need you the most. And when they're reaching out, contact me through email as a mask were on the phone. Your brand is that could be at express, but also at its most vulnerable. And that's where the contact center your agents. That experience is crucial to the overall customer experience. You have one bad phone conversation. You have one bad SMS. Your brand is really at risk and your brand if it's at risk. So is your business, because consumers have more choice than they've ever had before. >> One of the things owned stories do you, when you're talking with customers that you say, You know, you have to look at every customer interaction as possibly your last, but also as an opportunity to delight that customer and drive an increase in customer lifetime value. Do you talk to me? Talk to customers, but you gotta look at it through both lenses. >> Yes, I mean, if you don't look at the that's the contextual data, that's the context in which you serve your customers Now five nine. Nothing's more important than the customer, and we always try to make sure the human part interaction never leaves. As technology keeps on expanding, we have to imagine we have to imagine ourselves in our customer seat. Was it like to be on that phone call? Was it like to be on that interaction? And how do you provide companies a platform to be better and better and better have the same Better, Better never best, which is this idea of always evolving. Never feel like you achieve something. Always try to get better. >> Ryan, your your your businesses Cloud based. One of the things about the cloud is usually talking about rather than just something that I install and might have maintenance on. It is something that paying for every month and every year, and therefore I need to maintain a relationship with the customer because otherwise, you know, they could just say, Well, why am I paying for this? Can you talk about the relationship you have with your customers? You know how you make sure that you're giving them, you know, not just a day one experience, but an ongoing experience that grows? >> Yeah, I think. Four five nine customer experience. We're in the customer experience business, and so it's really important. We know that our technology is only a successful is the people who adopted and use it. That's where the technology comes to life. So we want. Make sure that we only sell our product way, help you install it. We help you go through the change management, which is critical. If you don't have your agents involved and they're having a hard time adopting your technology, that means that they're focused on that and not the consumer, not your customer base. So five now we want make sure from beginning to end you are held to our high standard of customer service, which is like this five Blue Star customer service. >> Soon I talked about that and our intro. It's not just ensuring that on organization can facilitate on me ten or ensuring that the customer experience it's table stakes these days. It has to be delivered as a effectively as possible, but it's also the agents who are on the front lines were dealing with. Let's face it, oftentimes if we're calling in or we've used multiple channels. There's maybe an escalation that we're not getting the resolution that we want. So where do you guys have those conversations with? It's not just about implementing cloud technology and Tech Center as service, but it's also about the training and the enablement, an empowerment of the agents to have the data to make those decisions because they're on the front lines. >> Absolutely correct. And that's why we've renamed our platform the genius platform, because we feel that every agent should be a genius at what they're being asked to do. Way won't make them feel confident about the information at the fingertips so that they can focus on the empathy. Five Nine believes that the technology is just a part of it, as I've said before, but really, it's the combination between the change management agent, the customer, the answers and the questions. It's all those things combined. Way won't make that easy for the agent to deliver Amazing touch points for your company, >> right where that that's a great point, because when you talk about, I have automation. I have intelligent, even robotics helping in there. I need that person where I'm not gonna have that empathy. So weigh. >> See that our MPs scores. The Asian experience is critical, right? So we really focus our platform and delivering that for the agent. But the other side to is making sure you can gain the insights from these conversations and delivering it back to the business, because we feel that that's a ZAY said earlier. That's the next evolution of data. Is pulling out that contextual data and marrying it with all your different data sets >> you brought up NPS. I'm curious. Do you have any way of measuring, You know, customers that used your solution versus customers that might have been doing things the old way? Is there a bump in NPS? Is there a bump in retention of agents? How do you measure success? >> Yeah, we take both MPs for our customers, and I know our customers take MPs for their agents and their customers. And when you use five nine, those numbers obviously go up. When you start measuring something, people really, if you analyze it, it will happen. So what we see is a huge adoption of making sure that the customer empathy the customers at the focus >> so last couple questions here, Ryan. You guys had a good amount of enterprise growth and f y eighteen. In fact, they stay large growth in customers with a million in a our annual recurring revenue when your fastest growing Saigon's enterprise. You know, small, medium size businesses often have the same challenges. But I'm wondering if you're seeing any sort of early adopters from an industry perspective, financial services, health care, anything or do you see that it's fairly horizontal and organizations that have to reach that consumer? >> It's fairly horizontal. I think the definition will contact center is obviously expanding. People are really focusing on customer experience, and they're certain to realize that Contact Center is a competitive advantage. If you deliver great customary experience, you do deliver great brand loyalty, and that just means your customers will continue to come to you, trust your brand and ask for more services. And that's obviously way. All know it's easier to retain a customer, then is to find anyone. So we think that is a huge advantage, and we're seeing that across the enterprise they're sending, realized this is a huge difference when everything else is the same. Deliver great customer experience, >> right? So, Brian, let me ask the brand question. You know, CMO When people come to enterprise connector, they're reaching out to five nine. What? What is the brand promise? What do you hope people are walking away and understanding about where you fit in the landscape? >> Yeah, I think that when the key things that I want people to understand about five nine is that where about a platform about delivering relationships? It's about It's about the technology we want. Make sure you have ploughed the latest and greatest. We won't make sure features are today. But really, what's important is that service all the way through from implementation to your agents. Happiness here, customer happiness, context. There's a conflict blend technology, people and this interaction with your customers. We will make sure that each part of those are being service, not just a technology, just not a person with the whole life cycle from beginning to end. >> Well, Ryan, thanks so much for joining stew and me on the cue this afternoon and inviting us into the five nine booth and also kind of sending the contacts for the Enterprise Connect twenty nineteen event that we really appreciate your time. >> Thank you for having me. It's been great. >> Hirsute men. A man. I'm Lisa Martin, your Washington Cube lying from day one of our coverage of enterprise Connect twenty nineteen.

>> Narrator: From Copenhagen, Denmark, it's theCUBE, covering KubeCon, and CloudNativeCon Europe 2018. Brought to you by the Cloud Native Computing Foundation, and its ecosystem partners. >> Okay, welcome back, everyone, live coverage here in theCUBE, in Europe, at Copenhagen, Denmark for KubeCon Europe 2018. This is theCUBE. We have the CNCF, at the Cloud Native Computing Foundation, part of the Linux Foundation. I'm John Furrier, co-host of theCUBE, with Lauren Cooney, the founder of SparkLabs, new venture around open source and innovation. Our analysts here, today with theCUBE, and our two guests are Michael Hausenblas, who's the direct developer advocate at Red Hat. Diane Meuller's the director of community development at Red Hat, talking about OpenShift, Red Hat, and just the rise and success of OpenShift. It's been really well-documented here on theCUBE, but certainly, in the industry, everyone's taking notice. Great to see you again, welcome to theCUBE, good to see you. >> Thank you. >> And wonderful to be here again. >> So, first of all, a lot of big news going on. CoreOS is now part of Red Hat, so that's exciting. I haven't had a chance to talk to you guys about that yet here on theCUBE, but great, great puzzle piece from the industry there for you guys, congratulations. >> Yeah, it's been a wonderful collaboration, having the CoreOS team as part of the Red Hat, and the OpenShift team, it's just a perfect fit. And the team from CoreOS, they've always been my favorite people. Alright, and Brandon Philips and the team over there are just awesome. And to have the expertise from Tectonics, the operator framework, which you'll hear more about here at KubeCon EU this week, to have Quay under the wings of Red Hat now, and Quay is a registry with OpenShift or with any other Kubernetes, you know, the stuff that they brought to the table, and the expertise, as well as the wonderful culture that they had, it was such a perfect fit with OpenShift. >> And you know, you guys bring a lot to the table, too. And I was, I mean, I've been kind of critical of CoreOS in the past, in a good way, 'cause I love those guys. I had good chats with them over the years, but they were so pure open-source guys, like Red Hat. >> Diane: Well, there's nothing wrong with being pure open-source. (laughing) >> No, no, I'm cool with that, but you guys have perfected the business more, you have great customers. So one of the things that they were always strong at was the open-source piece but when you start to monetize, and you start to get into the commercialization, it's hard for a start-up to be both, pure open-source and to monetize. You guys now have it together, >> Yeah. >> Great fit. >> So, it's a wonderful thing. We, on the OpenShift side, we have the OpenShift Commons, which is our open-source community, and we've sort of flipped the model of community development and that's at Red Hat. And one of the things is, they've been really strong, CoreOS, with their open-source projects, whether etcd, or you know, a whole myriad of other things. >> Well, let's double down on that. I want to get your thoughts. What is this OpenShift Commons? Take a minute to talk about what you guys had. You had an event Monday. It was the word on the streets, here in the hallways, is very positive. Take a minute to explain what happened, what's going on with that program? >> So OpenShift Commons is the open-source community around OpenShift Origin, but it also includes all the upstream projects that we collaborate with, with everybody from the Kubernetes world, from the Promytheus, all the CNCF project leads, all kinds of people from the upstream projects that are part of the OpenShift Ecosystem, as well as all the service providers and partners, who are doing wonderful things, and all the hosts, like Google, and you know, Microsoft Azure folks are in there. But, we've kind of flipped the model of community development on its head. In the past, if you were a community manager, which is what I started out as, you were trying to get people to contribute to your own code base. And here, because there's so much cross-community collaboration going on, we've got people working on Kubernetes. We got Kubernetes people making commits to Origin. We work on the OCI Foundation, trying to get the container stuff all figured out. >> So when you say you flipped the model, you mean there's now multiple-project contributions going on, or? >> Yeah, we've got our fingers in lots of pies now, and we have to, the collaboration has to be open, and there has to be a lot of communication. So the OpenShift Commons is really about creating those peer-to-peer networks. We do a lot of stuff virtual. I host my own OpenShift Commons briefings twice a week, and I could probably go to three or four days a week, and do it, because there's so much information. There's a fire hose of new stuff, new features, new releases, and stuff. Michael just did one on FAS. You did one before for the machine-learning Saigon OpenShift on Callum. >> Hold on, I want to just get your thoughts, Michael, on this, because what came up yesterday on theCUBE, was integration glue layers are really important. So I can see the connection here. Having this Commons model allows people to kind of cross-pollenate, one. Two, talk about integration, because we've got Promytheus, I might use KubeFlow. So there's new things happening. What does this mean for the integration piece? Good for it, or accelerating it? What's your thoughts? >> Right, right, right. So, I mainly work upstream which means when it is KubeFlow and other projects. And for me, these kind of areas where you can bring together both, the developers, and the end users, which is super important for us to get the feedback to see where we really are struggling. We hear a lot from those people that meet there, what their pinpoints are. And that is the best way to essentially shape the agenda, to say, well, maybe let's prioritize this over this other feature. And as you mention, integration being one big part, and Functions and Service being, could be considered as the visual basics of applications for Cloud Native Computing. It can act as this kind of glue between different things there. And I'm super excited about Commons. That's for me a great place to actually meet these people, and talk with them. >> So the Commons is almost a cross-pollination of folks that are actually using the code, building the code, and they see other projects that makes sense to contribute to, and so it's an alignment where you allow for that cross-pollination. >> It's a huge series of conversations, and one of the things that is really important to all of the projects is, as Michael said, is getting that feedback from production deployments. People who are working on stuff. So we have, I think we're at around 375 organizational members, so there's... >> John: What percentage of end-user organizations, do you think? >> It's probably about 50/50. You know, you can go to Commons.OpenShift.org, and look up the participants list. I'm behind a little bit in getting everybody in there, but-- >> John: So it's a good healthy dose of end-users? >> It's a good healthy dose of end-users. There's some special interest groups. Our special interest groups are more around used cases. So, we just hosted a machine-learning reception two nights ago, and we had about 200 people in the room. I'd say 50% of them were from the KubeFlow community, and the other 50% were users, or people who are building frameworks for our people to run on OpenShift. And so our goal, as always, is to make OpenShift the optimal, the best place to run your, in this case, machine-learning workloads, or-- >> And I think that's super critical, because one of the things that I've been following a little bit, and you know, I have your blog entry in front of me, is the operator framework, and really what you're trying to do with that framework, and how it's progressing, and where it's going, and really, if you can talk a little bit about what you're doing there, I think that would be great for our viewers. >> So what I'm going to do is I'm going to make sure you get Brandon Philips here, on your KubeFlow, sometime this week, 'cause I don't want to steal the thunder from his keynote tomorrow morning-- >> Lauren: Well, drop a couple hints. (laughs) >> John: Share a little bit, come on. >> So the operator stuff that CoreOS, and they brought it to the table, so it's really their baby. They had done a lot of work to make sure that they had first-class access to be able to inject things into Kubernetes itself, and make it run. And they're going to do a better technical talk on it than I am, and make things run. And so that what they've done is they've opened up and created an STK for operators, so other people can build more. And we think, this is a tipping point for Kubernetes, and I really don't want to steal any thunder here, or get in over my head, is the other part of it, too. >> I think Brandon is the right person to talk about that. >> Brandon, we'll drag Brandon over here. >> I'm super excited about it, but let's-- >> Yeah, let's talk about why you're super excited about it. Is there anything you can kind of tell us in terms of what? >> Enables people to run any kind of workload in communities, in a reliable automated fashion. So you bring the experience that human operators have into software. So you automate that application, which makes it even more suitable to run your enterprise application that so far might have not been the best place to run. >> Lauren: That's great, yeah. >> And yeah, I'm also looking forward to Brandon explaining the details there. >> So I think it's great hearing about that, and we talk a lot about how it's great for users. It's great, you know, operators, developers, how they're building things out, and things along those lines. But one of the things that we are not hearing a ton about here, and we want to hear more about, is security. Security is increasingly important. You know, we're hearing bits and pieces but nothing's really kind of coming together here and what're your thoughts on that? >> Security, I was recently, when I blogged about it, and people on Twitter said, well, is that really true that, you know, couldn't this secure body fall? It's like, well, all the pieces are there. You need to be aware of it. You need to know what you're doing. But it is there, right? All the defaults might not be as you would expect it, but you can enable it. And I think we did a lot of innovations there, as well. With our back, and security context, and so on. And, actually, Liz Rice and myself are working on putting the security cookbook, and for a variety that will come out later this year. We're trying to document the best practice, because it is early days, and it's quite a range of things. From building container images in a secure way, to excess control, and so on, so there's a lot of stuff (mumbles). >> What're some of the end-user feedback sessions, or feedback data that you're getting from these sessions? What is some of the things you guys are hearing? What's the patterns? What's the things that are boiling up to the top? >> Well, there's so many. I mean, this conference is one of those ones where it's a cornucopia of talks, and trying to, I just wrote a little blog post called, The Hitchhiker's Guide to KubeCon. It's on blog.openshift.com. And because, you could spend all of your time here in a different track, and never leave it, like Security 1, or in Operations 1, or-- >> John: There's a lot of great content. >> I think the Istio stuff is probably the hottest thing I'm hearing people going to. There was a great deep-dive training session, hands-on on Monday, here, that got incredible feedback. IBM and Google did that one. We had a lot of customer talks and hands-on training sessions on Monday. Here, there are pretty much, there's a great talk coming up this afternoon, on Kube Controllers that Magic... I think that's at 11:45-ish. There are a lot of the stuff around Service Fish, and service brokers, is really kind of the hot thing that people are looking for to get implemented. And we've got a lot of people from Red Hat working on that. There's, oh man, there's etcd updtes, there's a bazillion things going-- >> John: It's exploding big time here. >> Yeah. >> No doubt about it. >> The number one thing that I'm seeing last couple of months, being onsite with customers, and also here, is that given that Kubernetes is now the defective standard of container authorization, people are much more willing to go all-in, you know? >> Yeah. >> A lot of folks were on the fence, for a couple of years, going like, which one's going to make it? Now, it's kind of like, this is a given. You couldn't, you know, just as Linux is everywhere on the servers, that's the same with Kubernetes, and people are now happy to really invest, to like, okay, let's do it now, let's go all in. >> Yeah, and, what we're hearing, too, just stepping back and looking at the big picture is we see the trend, kind of hearing and connecting the dots, as the number of nodes is going to expand significantly. I mean, Sterring was on stage yesterday, and we heard their, and still small, not a lot of huge, not a lot on a large scale. So, we think that the scale question is coming quickly. >> Well, I think it already came, alright? In the machine-learning reception that we had at night, one of the gentleman, Willem Bookwalter, from Microsoft, and Diane Feddema, from Red Hat, and a whole lot of people are talking about how do we get, because machine-learning workloads, have such huge work, you know, GPU, and Google has their TPU requirements to get to scale, to run these things, that people are already pushing the envelope on Kubernetes. Jeremy Eater from Red Hat has done some incredible performance management work. And on the CNCF blog, they've posted all of that. To get the optimal performance, and to get the scale, is now, I think, one of the next big things, and there's a lot of talks that are on that. >> Yeah, and that's Istio's kind of big service mesh opportunity there, is to bring that to the next level. >> To the next level, you know, there's going to be a lot of things that people are going to experience trying to get the most out of their clusters, but also, I think we're still at the edge of that. I mean, someone said something about getting to 2,500 nodes. And I'm like, thinking, that's just the beginning, baby. >> Yeah, it's going to be more, add a couple zeroes. I got to ask you guys, I got to put you both on the spot here, because it's what we do on theCUBE. You guys are great supporters of theCUBE. We appreciate that, but we've had many conversations over the years with OpenShift, going back to OpenStacks, I don't know what year it was, maybe 2012, or I don't know. I forget what year it was. Now, the success of OpenShift was really interesting. You guys took this to a whole 'nother level. What's the reaction? Are you, as you look back now on where you were with OpenShift and where you are today, do you pinch yourself and say, damn? Or what's your view? >> Red Hat made a big bet on Kubernetes three years ago, three and a half years ago, when people thought we were crazy. You know, they hadn't seen it. They didn't understand what Google was trying to open-source, and some of the engineers inside of Red Hat, Clayton Coleman, Matt Hicks, a lot of great people, saw what was coming, reached out, worked with Google. And the rest of us were like, well, what about Ruby and Rails, and Mongo DB, and you know, doing all this stuff? And like, we invested so much in gears and cartridges. And then, once they explained it, and once Google really open-sourced the whole thing, making that bet as a company, and pivoting on that dime, and making version 3.0 of OpenShift and OpenShift Origin, as a Kubernetes-based platform, as a service, and then, switching over to being a container platform, that was a huge thing. And if you had talked to me back then, three years ago, it was kind of like, is this the right way to go? But, then, you know, okay. >> Well, it's important to history to document that point, because I remember we talked about it. And one of the things, you guys made a good bet, and people were scratching their head, at that time. >> Oh yeah. >> Big time. But also, you've got to give credit to the community, because the leaders in the community recognized the importance of Kubernetes early on. We've been in those conversations, and said, hey, you know, we can't screw this up, because it was an opportunity. People saw the vision, and saw it as a great opportunity. >> I think, as much as I like the technical bits, as an engineer, the API being written and go, and so on, I really think the community, that is what really makes the difference. >> Yeah, absolutely does. >> If you compare it with others, they're also successful. But here with CNCF, all the projects, all the people coming together, and I love the community, I really-- >> It's a case study of how to execute, in my opinion. You guys did a great job in your role, and the people didn't get in the way and try to mess it up. Great smart people understood it, shepherded it through, let it grow. >> And it really is kudos to the Kubernetes community, and the CNCF, for incubating all of this wonderful cross-community collaboration. They do a great job with their ambassadors program. The Kubernetes community does amazing stuff around their SIGs, and making sure that projects get correctly incubated. You know, they're not afraid to rejig the processes. They've just done a wonderful thing, changing the way that new projects come into the Kubernetes, and I think that willingness to learn, learn from mistakes, to evolve, is something that's really kind of unique to the whole new way of thinking about open-source now, and that's the change that we've seen. >> And open-source, open movements, always have a defining moment. You know, the OSI model, remember? That stack never got fully standardized but it stopped at a really important point. PCPIP, IP became really important. The crazy improbability world, CISCO, as we know, and others. This is that kind of moment where there's going to be a massive wealth creation, value creation opportunity because you have people getting behind something, as a de facto standard. And then, there's a lot of edge work around it that can be innovated on. I think, to me, this is going to be one of those moments we look back on. >> Yeah, and I think it's that willingness to adjust the processes, to work with the community, and you know, that Kubernetes, the ethos that's around this project, we've learned from a lot of other foundations' mistakes. You know, not that they're better or worse, but we've learned that you could see the way we're bringing in new projects, and adding them on. We took a step back as a community, and said okay, this is, we're getting too many, too soon, too fast. And maybe, this is not quite the right way to go. And rather than doing the big tent umbrella approach, we've actually starting doing some really re-thinking of our processes, and the governing board and the TOC of the CNCF, have done an awesome job getting that done. >> When you got lightning in a bottle, you stop and you package it up, and you run with it, so congratulations. Red Hat Summit next week, we'll be there, theCUBE. >> Oh yeah. >> Looking forward to going deep on this. >> Well, the OpenShift Commons Gathering is the day before Red Hat Summit. We've completely sold out, so sorry, there's a waitlist. We've gone from being, our first one, I think we had 150 people come. There's over 700 people now coming to the Gathering one, and 25 customers with production deployments speaking. This is the day before Red Hat Summit. And I lost count of how many OpenShift stories are being told at Red Hat Summit. It's going to be a crazy, jetlag-y week, next week, so-- >> Congratulations, you guys got a spring in your step, well done. OpenShift going to the next level, certainly the industry and Kubernetes, a service mesh as Istio. Lot of great coverage here in theCUBE, here in Europe for KubeCon 2018 in Copenhagen, Denmark. I'm John Furrier, and Lauren Cooney, the founder of SparkLabs. I'm with theCUBE, we'll be back with more live coverage. Stay with us! Day Two, here at KubeCon, we'll be right back. (upbeat techno music)